papers.md

Open Sustainable Papers

Contents

• Climate Change
  • Natural Hazard and Storm
  • Earth and Climate Modeling
  • Climate Downscaling
  • Climate Data Processing and Analysis
  • Integrated Assessment and Climate Policy
  • Climate Data Access and Visualization
  • Climate Data Standards
• Sustainable Development
  • Curated Lists
  • Environmental Satellites
  • Taxonomy and Ontology
  • Data Catalogs and Interfaces
  • Sustainable Development Goals
  • Sustainable Investment
• Cryosphere
  • Glacier and Ice Sheets
  • Snow and Permafrost
  • Sea Ice
• Energy Systems
  • Grid Analysis and Planning
  • Building Energy Monitoring
  • Energy System Modeling Frameworks
  • Renewable Energy Integration
  • Regional Energy System Models
  • Energy Data Accessibility and Integration
  • Energy Markets
  • Load and Demand Forecasting
  • Grid Management and Microgrid
• Emissions
  • Carbon Offsets and Trading
  • Carbon Capture
  • Emission Observation and Modeling
  • Carbon Intensity and Accounting
• Natural Resources
  • Water Supply and Quality
  • Soil and Land
  • Air Quality
• Consumption
  • Agriculture and Nutrition
  • Buildings and Heating
  • Computation and Communication
  • Mobility and Transportation
  • Production and Industry
• Biosphere
  • Marine Life and Fishery
  • Species Distribution Modeling
  • Biodiversity Data Cleaning and Standardization
  • Conservation and Restoration
  • Forest Remote Sensing
  • Biodiversity Data Access and Management
  • Plants and Vegetation
  • Forest Modeling and Analysis
  • Wildfire
  • Biomass
  • Biodiversity Analysis and Metrics
  • Terrestrial Wildlife
  • Deforestation and Reforestation
  • Avian Monitoring and Analysis
  • Bioacoustics and Acoustic Data Analysis
  • Ecological and Environmental Modeling
  • Forest Observation and Management
• Hydrosphere
  • Ocean Carbon and Temperature
  • Waves and Currents
  • Freshwater and Hydrology
  • Ocean Models
  • Ocean and Hydrology Data Access
  • Coastal and Reefs
• Renewable Energy
  • Photovoltaics and Solar Energy
  • Wind Energy
  • Hydro Energy
  • Bioenergy
  • Geothermal Energy
• Industrial Ecology
  • Circular Economy and Waste
  • Life Cycle Assessment
  • Input Output Model
• Atmosphere
  • Atmospheric Composition and Dynamics
  • Meteorological Observation and Forecast
  • Atmospheric Chemistry and Aerosol
  • Radiative Transfer
  • Atmospheric Dispersion and Transport
• Energy Storage
  • Hydrogen
  • Battery

Climate Change

Natural Hazard and Storm

• Storm-Based Probabilistic Hail Forecasting with Machine Learning Applied to Convection-Allowing Ensembles
• A CyberGIS Approach to Generating High-resolution Height Above Nearest Drainage (HAND) Raster for National Flood Mapping
• Global storm tide modeling with ADCIRC v55: unstructured mesh design and performance
• OceanMesh2D 1.0: MATLAB-based software for two-dimensional unstructured mesh generation in coastal ocean modeling
• Comparing Sentinel-1 Surface Water Mapping Algorithms and Radiometric Terrain Correction Processing in Southeast Asia Utilizing Google Earth Engine
• pyPI (v1.3): Tropical Cyclone Potential Intensity Calculations in Python
• dgilford/pyPI: pyPI v1.3 (initial package release)
• Modeling compound flooding in coastal systems using a computationally efficient reduced-physics solver: Including fluvial, pluvial, tidal, wind- and wave-driven processes
• FLOMPY: An Open-Source Toolbox for Floodwater Mapping Using Sentinel-1 Intensity Time Series
• Potential of Two SAR-Based Flood Mapping Approaches in Supporting an Integrated 1D/2D HEC-RAS Model
• River Channel Geometry and Rating Curve Estimation Using Height above the Nearest Drainage
• A CyberGIS Integration and Computation Framework for High‐Resolution Continental‐Scale Flood Inundation Mapping
• A software tool for rapid flood inundation mapping

Earth and Climate Modeling

• Emulating Earth system model temperatures with MESMER: from global mean temperature trajectories to grid-point-level realizations on land
• From emission scenarios to spatially resolved projections with a chain of computationally efficient emulators: coupling of MAGICC (v7.5.1) and MESMER (v0.8.3)
• Testing stomatal models at the stand level in deciduous angiosperm and evergreen gymnosperm forests using CliMA Land (v0.1)
• Accounting for canopy structure improves hyperspectral radiative transfer and sun-induced chlorophyll fluorescence representations in a new generation Earth System model
• On the impact of canopy model complexity on simulated carbon, water, and solar-induced chlorophyll fluorescence fluxes
• The E3SM Diagnostics Package (E3SM Diags v2.7): a Python-based diagnostics package for Earth system model evaluation
• CMIP6.CMIP.NOAA-GFDL.GFDL-CM4.historical
• Process-Oriented Evaluation of Climate and Weather Forecasting Models
• NorESM2 source code as used for CMIP6 simulations (includes additional experimental setups, extended model documentation, automated inputdata download, restructuring of BLOM/iHAMOCC input data)
• Formulation of the Dutch Atmospheric Large-Eddy Simulation (DALES) and overview of its applications
• Large-Eddy Simulation Comparison of Neutral Flow Over a Canopy: Sensitivities to Physical and Numerical Conditions, and Similarity to Other Representations
• uDALES: large-eddy-simulation software for urban flow, dispersion, and microclimate modelling
• Formulation of the Dutch Atmospheric Large-Eddy Simulation (DALES) and overview of its applications
• Evaluation of an operational air quality model using large-eddy simulation
• Steady-State Large-Eddy Simulations of Convective and Stable Urban Boundary Layers
• Tree model with drag, transpiration, shading and deposition: Identification of cooling regimes and large-eddy simulation
• Overview of the PALM model system 6.0
• Urban Climates
• Some Issues Related to the Use of Immersed Boundary Methods to Represent Square Obstacles
• PALM-USM v1.0: A new urban surface model integrated into the PALM large-eddy simulation model
• Simulating the impact of blue-green infrastructure on the microclimate of urban areas
• Drag Distribution in Idealized Heterogeneous Urban Environments
• The influence of an obstacle on flow and pollutant dispersion in neutral and stable boundary layers
• A tensorial approach to computational continuum mechanics using object-oriented techniques
• A simple object-oriented and open-source model for scientific and policy analyses of the global climate system – Hector v1.0
• pyhector: A Python interface for the simple climate model Hector
• Sedproxy: a forward model for sediment archived climate proxies
• CLIMLAB: a Python toolkit for interactive, process-oriented climate modeling
• Atlas : A library for numerical weather prediction and climate modelling
• MetSim: A Python package for estimation and disaggregation of meteorological data
• FaIRv2.0.0: a generalized impulse response model for climate uncertainty and future scenario exploration
• FAIR v1.3: a simple emissions-based impulse response and carbon cycle model
• A modified impulse-response representation of the global near-surface air temperature and atmospheric concentration response to carbon dioxide emissions
• A new approach for in situ analysis in fully coupled earth system models
• Toward modular in situ visualization in Earth system models: the regional modeling system RegESM 1.1
• Emulating coupled atmosphere-ocean and carbon cycle models with a simpler model, MAGICC6 – Part 1: Model description and calibration
• Emulating coupled atmosphere-ocean and carbon cycle models with a simpler model, MAGICC6 – Part 1: Model description and calibration
• Pymagicc: A Python wrapper for the simple climate model MAGICC
• Improving Data‐Driven Global Weather Prediction Using Deep Convolutional Neural Networks on a Cubed Sphere
• Accurate medium-range global weather forecasting with 3D neural networks
• ClimateNet: an expert-labeled open dataset and deep learning architecture for enabling high-precision analyses of extreme weather

Climate Downscaling

• Prediction of rainfall response to the 21st-century climate change in Ghana using machine learning empirical statistical downscaling
• SantanderMetGroup/downscaleR: submission downscaleR EMS paper
• Statistical downscaling with the downscaleR package (v3.1.0): contribution to the VALUE intercomparison experiment
• The R-based climate4R open framework for reproducible climate data access and post-processing
• The ECOMS User Data Gateway: Towards seasonal forecast data provision and research reproducibility in the era of Climate Services
• The Intermediate Complexity Atmospheric Research Model (ICAR)
• Bias Correction of GCM Precipitation by Quantile Mapping: How Well Do Methods Preserve Changes in Quantiles and Extremes?
• The ERA5 global reanalysis
• CMIP6.CMIP.CSIRO-ARCCSS.ACCESS-CM2
• CMIP6.ScenarioMIP.CSIRO-ARCCSS.ACCESS-CM2
• CMIP6.CMIP.CSIRO.ACCESS-ESM1-5
• CSIRO ACCESS-ESM1.5 model output prepared for CMIP6 ScenarioMIP
• CMIP6.ScenarioMIP.CCCma.CanESM5
• CMIP6.ScenarioMIP.NOAA-GFDL.GFDL-ESM4
• CMIP6.CMIP.MOHC.HadGEM3-GC31-LL
• CMIP6.C4MIP.MIROC.MIROC-ES2L
• CMIP6.ScenarioMIP.MIROC.MIROC-ES2L
• CMIP6.CMIP.MIROC.MIROC6
• CMIP6.ScenarioMIP.MIROC.MIROC6
• CMIP6.CMIP.MPI-M.MPI-ESM1-2-LR
• CMIP6.ScenarioMIP.MPI-M.MPI-ESM1-2-LR
• CMIP6.ScenarioMIP.NCC.NorESM2-LM
• CMIP6.CMIP.MOHC.UKESM1-0-LL
• Updated high‐resolution grids of monthly climatic observations – the CRU TS3.10 Dataset
• TopoPyScale: A Python Package for Hillslope Climate Downscaling
• TopoSCALE v.1.0: downscaling gridded climate data in complex terrain
• TopoSUB: a tool for efficient large area numerical modelling in complex topography at sub-grid scales
• The R-based climate4R open framework for reproducible climate data access and post-processing
• The ECOMS User Data Gateway: Towards seasonal forecast data provision and research reproducibility in the era of Climate Services
• An R package to visualize and communicate uncertainty in seasonal climate prediction
• The METACLIP semantic provenance framework for climate products
• Statistical downscaling with the downscaleR package: Contribution to the VALUE intercomparison experiment
• Seasonal predictions of Fire Weather Index: Paving the way for their operational applicability in Mediterranean Europe

Climate Data Processing and Analysis

• W2W: A Python package that injects WUDAPT’s Local Climate Zone information in WRF
• Mapping Europe into local climate zones
• Combining expert and crowd-sourced training data to map urban form and functions for the continental US
• LCZ Generator: A Web Application to Create Local Climate Zone Maps
• WUDAPT, an efficient land use producing data tool for mesoscale models? Integration of urban LCZ in WRF over Madrid
• Local Climate Zones for Urban Temperature Studies
• Evaluation of the ‘local climate zone’ scheme using temperature observations and model simulations
• Evaluating the performance of a novel WUDAPT averaging technique to define urban morphology with mesoscale models
• TempestExtremes v2.1: a community framework for feature detection, tracking, and analysis in large datasets
• TempestExtremes v1.0: A Framework for Scale-Insensitive Pointwise Feature Tracking on Unstructured Grids
• Assessing sensitivities in algorithmic detection of tropical cyclones in climate data
• Local Finite-Amplitude Wave Activity as a Diagnostic of Anomalous Weather Events
• Atmospheric blocking as a traffic jam in the jet stream
• An integrated phenology modelling framework in r
• GeoChronR – an R package to model, analyze and visualize age-uncertain paleoscientific data
• Pyleoclim: Paleoclimate Timeseries Analysis and Visualization With Python
• xclim: xarray-based climate data analytics
• Reference Crop Evapotranspiration from Temperature
• NCAR Command Language (NCL)
• gdess: A framework for evaluating simulated atmospheric CO2 in Earth System Models
• Atmospheric carbon dioxide at Mauna Loa Observatory: 2. Analysis of the NOAA GMCC data, 1974–1985
• Seasonal climatology of CO₂ across North America from aircraft measurements in the NOAA/ESRL Global Greenhouse Gas Reference Network

Integrated Assessment and Climate Policy

• Carbon-Neutral Steel Production and Its Impact on the Economies of China, Japan, and Korea: A Simulation with E3ME-FTT:Steel
• Cost and attainability of meeting stringent climate targets without overshoot
• AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-N
• A new scenario resource for integrated 1.5 °C research
• IAMC 1.5°C Scenario Explorer and Data hosted by IIASA
• Notebooks for IAM scenario analysis for the IPCC Special Report on 1.5°C of Global Warming
• Economic impacts of tipping points in the climate system
• pyam: Analysis and visualisation of integrated assessment and macro-energy scenarios
• pyam: a Python Package for the Analysis and Visualization of Models of the Interaction of Climate, Human, and Environmental Systems
• GCAM v5.1: representing the linkages between energy, water, land, climate, and economic systems

Climate Data Access and Visualization

• The climate hazards infrared precipitation with stations—a new environmental record for monitoring extremes
• A High-Resolution 1983–2016 Tmax Climate Data Record Based on Infrared Temperatures and Stations by the Climate Hazard Center
• Spatial downscaling of European climate data
• The easyclimate R package: Easy access to high-resolution daily climate data for Europe
• The easyclimate R package: easy access to high-resolution daily climate data for Europe
• ropensci/GSODR: Warwick
• Fundamentals of Numerical Weather Prediction
• Atmospheric Modeling, Data Assimilation and Predictability
• Validation of Precipitation Events in ERA5 to Gauge Observations during Warm Seasons over Eastern China
• The R-based climate4R open framework for reproducible climate data access and post-processing
• Statistical downscaling with the downscaleR package (v3.1.0): contribution to the VALUE intercomparison experiment
• The ECOMS User Data Gateway: Towards seasonal forecast data provision and research reproducibility in the era of Climate Services
• Seasonal predictions of Fire Weather Index: Paving the way for their operational applicability in Mediterranean Europe

Climate Data Standards

• cfdm: A Python reference implementation of the CF data model

Sustainable Development

Curated Lists

• Decadal beach-dune profile monitoring along a 230-km high-energy sandy coast: Aquitaine, southwest France
• tsp (“Teaspoon”): A library for ground temperature data
• A decade of detailed observations (2008–2018) in steep bedrock permafrost at the Matterhorn Hörnligrat (Zermatt, CH)
• The Glimmer community ice sheet model
• fenics_ice 1.0: A framework for quantifying initialisation uncertainty fortime-dependent ice-sheet models
• The Open Global Glacier Model (OGGM) v1.1
• The Potsdam Parallel Ice Sheet Model (PISM-PIK) – Part 1: Model description
• The Utrecht Finite Volume Ice-Sheet Model: UFEMISM (version 1.0)
• Data assimilation and prognostic whole ice sheet modelling with the variationally derived, higher order, open source, and fully parallel ice sheet model VarGlaS
• Description and validation of the ice-sheet model Yelmo (version 1.0)
• Spatial and seasonal effects of temperature variability in a positive degree-day glacier surface mass-balance model
• COSIPY v1.3 – an open-source coupled snowpack and ice surface energy and mass balance model
• A particle based simulation model for glacier dynamics
• SERMeQ Model Produces a Realistic Upper Bound on Calving Retreat for 155 Greenland Outlet Glaciers
• How much cryosphere model complexity is just right? Exploration using the conceptual cryosphere hydrology framework
• A distributed temperature-index ice- and snowmelt model including potential direct solar radiation
• A distributed surface energy-balance model for complex topography and its application to Storglaciären, Sweden
• SHAKTI: Subglacial Hydrology and Kinetic, Transient Interactions v1.0
• Sea-level response to melting of Antarctic ice shelves on multi-centennial timescales with the fast Elementary Thermomechanical Ice Sheet model (f.ETISh v1.0)
• Influence of increasing surface melt over decadal timescales on land-terminating Greenland-type outlet glaciers
• A new model for global glacier change and sea-level rise
• Modelling the future evolution of glaciers in the European Alps under the EURO-CORDEX RCM ensemble
• Runoff evolution in the Swiss Alps: projections for selected high‐alpine catchments based on ENSEMBLES scenarios
• Modelling runoff from highly glacierized alpine drainage basins in a changing climate
• Description of a hybrid ice sheet-shelf model, and application to Antarctica
• A confined–unconfined aquifer model for subglacial hydrology and its application to the Northeast Greenland Ice Stream
• Inversion of a glacier hydrology model
• Mass-conserving subglacial hydrology in the Parallel Ice Sheet Model version 0.6
• A modeling study of the effect of runoff variability on the effective pressure beneath Russell Glacier, West Greenland
• Modelling distributed and channelized subglacial drainage: the spacing of channels
• Feedbacks between coupled subglacial hydrology and glacier dynamics
• Testing a numerical glacial hydrological model using spring speed-up events and outburst floods
• A numerical study of hydrologically driven glacier dynamics and subglacial flooding
• Modeling channelized and distributed subglacial drainage in two dimensions
• The Austrian Glacier Inventories GI 1 (1969), GI 2 (1998), GI 3 (2006), and GI LIA in ArcGIS (shapefile) format
• GRANTISM: An ExcelTM model for Greenland and Antarctic ice-sheet response to climate changes
• GRANTSISM: An Excel™ ice sheet model for use in introductory Earth science courses
• A physical SNOWPACK model for the Swiss avalanche warning
• SMRT: an active–passive microwave radiative transfer model for snow with multiple microstructure and scattering formulations (v1.0)
• A standardized catalogue of spectral indices to advance the use of remote sensing in Earth system research
• The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features
• AFRI — aerosol free vegetation index
• Optical Properties and Nondestructive Estimation of Anthocyanin Content in Plant Leaves¶
• Atmospherically resistant vegetation index (ARVI) for EOS-MODIS
• Potentials and limits of vegetation indices for LAI and APAR assessment
• Color enhancement of highly correlated images. II. Channel ratio and “chromaticity” transformation techniques
• New Vegetation Index and Its Application in Estimating Leaf Area Index of Rice
• Relationships between Blue‐ and Red‐based Vegetation Indices and Leaf Area and Yield of Alfalfa
• A remotely sensed pigment index reveals photosynthetic phenology in evergreen conifers
• Relationships between leaf chlorophyll content and spectral reflectance and algorithms for non-destructive chlorophyll assessment in higher plant leaves
• Comparing narrow and broad-band vegetation indices to estimate leaf chlorophyll content in planophile crop canopies
• Detecting sugarcane ‘orange rust’ disease using EO-1 Hyperion hyperspectral imagery
• Estimating PAR absorbed by vegetation from bidirectional reflectance measurements
• A semi-analytical snow-free vegetation index for improving estimation of plant phenology in tundra and grassland ecosystems
• An enhanced bloom index for quantifying floral phenology using multi-scale remote sensing observations
• A comparison of vegetation indices over a global set of TM images for EOS-MODIS
• Development of a two-band enhanced vegetation index without a blue band
• Color Indices for Weed Identification Under Various Soil, Residue, and Lighting Conditions
• Verification of color vegetation indices for automated crop imaging applications
• <title>Machine vision detection parameters for plant species identification</title>
• Fluorescence Correction Vegetation Index (FCVI): A physically based reflectance index to separate physiological and non-physiological information in far-red sun-induced chlorophyll fluorescence
• Use of a green channel in remote sensing of global vegetation from EOS-MODIS
• The Generalized Difference Vegetation Index (GDVI) for Dryland Characterization
• GEMI: a non-linear index to monitor global vegetation from satellites
• Spatially Located Platform and Aerial Photography for Documentation of Grazing Impacts on Wheat
• Signature Analysis of Leaf Reflectance Spectra: Algorithm Development for Remote Sensing of Chlorophyll
• Aerial Color Infrared Photography for Determining Late‐Season Nitrogen Requirements in Corn
• Designing a spectral index to estimate vegetation water content from remote sensing data: Part 1
• An Algorithm for Estimating Chlorophyll Content in Leaves Using a Video Camera
• Calculating the vegetation index faster
• Evaluating the capabilities of Sentinel-2 for quantitative estimation of biophysical variables in vegetation
• Estimating Corn Leaf Chlorophyll Concentration from Leaf and Canopy Reflectance
• Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture
• Estimating chlorophyll content from hyperspectral vegetation indices: Modeling and validation
• Estimating Corn Leaf Chlorophyll Concentration from Leaf and Canopy Reflectance
• Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley
• The modified normalized difference vegetation index (mNDVI) a new index to determine frost damages in agriculture based on Landsat TM data
• Estimation of forest leaf area index using vegetation indices derived from hyperion hyperspectral data
• Modified Red Blue Vegetation Index for Chlorophyll Estimation and Yield Prediction of Maize from Visible Images Captured by UAV
• A modified soil adjusted vegetation index
• Detection of changes in leaf water content using Near- and Middle-Infrared reflectances☆
• Evaluation of Vegetation Indices and a Modified Simple Ratio for Boreal Applications
• The MERIS terrestrial chlorophyll index
• Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages
• A five-year analysis of MODIS NDVI and NDWI for grassland drought assessment over the central Great Plains of the United States
• Detection of forest harvest type using multiple dates of Landsat TM imagery
• A snow-free vegetation index for improved monitoring of vegetation spring green-up date in deciduous ecosystems
• Quantitative estimation of chlorophyll-a using reflectance spectra: Experiments with autumn chestnut and maple leaves
• Spectral Reflectance Changes Associated with Autumn Senescence of Aesculus hippocastanum L. and Acer platanoides L. Leaves. Spectral Features and Relation to Chlorophyll Estimation
• Spectral considerations for modeling yield of canola
• Red and photographic infrared linear combinations for monitoring vegetation
• Canopy near-infrared reflectance and terrestrial photosynthesis
• Estimating near-infrared reflectance of vegetation from hyperspectral data
• NIRVP: A robust structural proxy for sun-induced chlorophyll fluorescence and photosynthesis across scales
• Influences of canopy architecture on relationships between various vegetation indices and LAI and Fpar: A computer simulation
• NMDI: A normalized multi‐band drought index for monitoring soil and vegetation moisture with satellite remote sensing
• Developing a New Method to Identify Flowering Dynamics of Rapeseed Using Landsat 8 and Sentinel-1/2
• A broad-band leaf chlorophyll vegetation index at the canopy scale
• Optimization of soil-adjusted vegetation indices
• Non‐destructive optical detection of pigment changes during leaf senescence and fruit ripening
• New Spectral Index for Detecting Wheat Yellow Rust Using Sentinel-2 Multispectral Imagery
• Assessment of rice leaf chlorophyll content using visible bands at different growth stages at both the leaf and canopy scale
• Measuring the Color of Growing Turf with a Reflectance Spectrophotometer¹
• A soil-adjusted vegetation index (SAVI)
• A ratio vegetation index adjusted for soil brightness
• A shadow- eliminated vegetation index (SEVI) for removal of self and cast shadow effects on vegetation in rugged terrains
• Derivation of Leaf-Area Index from Quality of Light on the Forest Floor
• In vivo spectroscopy and internal optics of leaves as basis for remote sensing of vegetation
• Remote Sensing of Chlorophyll a, Chlorophyll b, Chlorophyll a+b, and Total Carotenoid Content in Eucalyptus Leaves
• Multi-Crop Green LAI Estimation with a New Simple Sentinel-2 LAI Index (SeLI)
• Integrated narrow-band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture
• Remote Estimation of Crop Chlorophyll Content Using Spectral Indices Derived From Hyperspectral Data
• Transformed difference vegetation index (TDVI) for vegetation cover mapping
• A visible band index for remote sensing leaf chlorophyll content at the canopy scale
• Potential of UAS-Based Remote Sensing for Estimating Tree Water Status and Yield in Sweet Cherry Trees
• TSAVI: A Vegetation Index Which Minimizes Soil Brightness Effects On LAI And APAR Estimation
• A Transformed Triangular Vegetation Index for Estimating Winter Wheat Leaf Area Index
• Comparing prediction power and stability of broadband and hyperspectral vegetation indices for estimation of green leaf area index and canopy chlorophyll density
• Novel algorithms for remote estimation of vegetation fraction
• Wide Dynamic Range Vegetation Index for Remote Quantification of Biophysical Characteristics of Vegetation
• Application of a weighted infrared-red vegetation index for estimating leaf Area Index by Correcting for Soil Moisture
• Augmented Normalized Difference Water Index for improved surface water monitoring
• Automated Water Extraction Index: A new technique for surface water mapping using Landsat imagery
• Satellite-based modeling of gross primary production in an evergreen needleleaf forest
• A robust Multi-Band Water Index (MBWI) for automated extraction of surface water from Landsat 8 OLI imagery
• Prompt Proxy Mapping of Flood Damaged Rice Fields Using MODIS-Derived Indices
• Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery
• Multi-Spectral Water Index (MuWI): A Native 10-m Multi-Spectral Water Index for Accurate Water Mapping on Sentinel-2
• Normalized difference chlorophyll index: A novel model for remote estimation of chlorophyll-a concentration in turbid productive waters
• Classification of ponds from high-spatial resolution remote sensing: Application to Rift Valley Fever epidemics in Senegal
• A New Index Model NDVI-MNDWI for Water Object Extraction in Hybrid Area
• Improved Landsat-Based Water and Snow Indices for Extracting Lake and Snow Cover/Glacier in the Tibetan Plateau
• A New Method for Fast Information Extraction of Water Bodies Using Remotely Sensed Data
• An Effective Water Body Extraction Method with New Water Index for Sentinel-2 Imagery
• Triangle Water Index (TWI): An Advanced Approach for More Accurate Detection and Delineation of Water Surfaces in Sentinel-2 Data
• Automatic Methodology to Detect the Coastline from Landsat Images with a New Water Index Assessed on Three Different Spanish Mediterranean Deltas
• Comparing Landsat water index methods for automated water classification in eastern Australia
• Water body extraction from Landsat ETM&#x002B; imagery using adaboost algorithm
• Burnt Area Index (BAIM) for burned area discrimination at regional scale using MODIS data
• BAIS2: Burned Area Index for Sentinel-2
• Testing the potential of multi-spectral remote sensing for retrospectively estimating fire severity in African Savannahs
• Production of Landsat ETM+ reference imagery of burned areas within Southern African savannahs: comparison of methods and application to MODIS
• An evaluation of different bi-spectral spaces for discriminating burned shrub-savannah
• Second U.S. Geological Survey Wildland Fire Workshop: Los Alamos, New Mexico, October 31-November 3, 2000
• A novel fire index-based burned area change detection approach using Landsat-8 OLI data
• Evaluation of novel thermally enhanced spectral indices for mapping fire perimeters and comparisons with fire atlas data
• Normalized Burn Ratio Plus (NBR+): A New Index for Sentinel-2 Imagery
• Forest fire scar detection in the boreal forest with multitemporal spot-vegetation data
• Evaluating spectral indices for burned area discrimination using MODIS/ASTER (MASTER) airborne simulator data
• Non-Binary Snow Index for Multi-Component Surfaces
• ASTER ratio indices for supraglacial terrain mapping
• A snow index for the Landsat Thematic Mapper and Moderate Resolution Imaging Spectroradiometer
• Assessing the potential of VEGETATION sensor data for mapping snow and ice cover: A Normalized Difference Snow and Ice Index
• Characteristics of Spectral Reflectance for Vegetation Ground Surfaces with Snow-cover; Vegetation Indices and Snow Indices.
• Development and Evaluation of a New “Snow Water Index (SWI)” for Accurate Snow Cover Delineation
• A new spectral index for the extraction of built-up land features from Landsat 8 satellite imagery
• Applying Built-Up and Bare-Soil Indices from Landsat 8 to Cities in Dry Climates
• Enhanced Built-Up and Bareness Index (EBBI) for Mapping Built-Up and Bare Land in an Urban Area
• A new index for delineating built‐up land features in satellite imagery
• Use of normalized difference built-up index in automatically mapping urban areas from TM imagery
• Analysis of Impervious Surface and its Impact on Urban Heat Environment using the Normalized Difference Impervious Surface Index (NDISI)
• A Novel Index for Impervious Surface Area Mapping: Development and Validation
• Efficient segmentation of urban areas by the VIBI
• Classification and change detection of built-up lands from Landsat-7 ETM+ and Landsat-8 OLI/TIRS imageries: A comparative assessment of various spectral indices
• Relationships between Satellite-Based Radiometric Indices Simulated Using Laboratory Reflectance Data and Typic Soil Color of an Arid Environment
• Studies on urban areas extraction from landsat TM images
• ASI: An artificial surface Index for Landsat 8 imagery
• A Modified Bare Soil Index to Identify Bare Land Features during Agricultural Fallow-Period in Southeast Asia Using Landsat 8
• Mapping Urban Bare Land Automatically from Landsat Imagery with a Simple Index
• Use of normalized difference bareness index in quickly mapping bare areas from TM/ETM+
• RNDSI: A ratio normalized difference soil index for remote sensing of urban/suburban environments
• Development of soil moisture indices from differences in water absorption between shortwave-infrared bands
• A unified vegetation index for quantifying the terrestrial biosphere
• Significance of dual polarimetric synthetic aperture radar in biomass retrieval: An attempt on Sentinel-1
• Sensitivity Analysis of Multi-Temporal Sentinel-1 SAR Parameters to Crop Height and Canopy Coverage
• Comparison of forest parameter estimation techniques using SAR data
• Mapping tropical forest biomass with radar and spaceborne LiDAR in Lopé National Park, Gabon: overcoming problems of high biomass and persistent cloud
• Correlation Between NDVI and Sentinel-1 Derived Features for Maize
• Pan European Phenological database (PEP725): a single point of access for European data
• Application of Machine Learning to Classification of Volcanic Deformation in Routinely Generated InSAR Data
• The eWaterCycle platform for open and FAIR hydrological collaboration

Environmental Satellites

• MODIStsp : An R package for automatic preprocessing of MODIS Land Products time series

Taxonomy and Ontology

• The environment ontology: contextualising biological and biomedical entities
• The environment ontology in 2016: bridging domains with increased scope, semantic density, and interoperation

Data Catalogs and Interfaces

• Ecology’s remote-sensing revolution
• Retrieval and Analysis of Eurostat Open Data with the eurostat Package
• Input dataset for land-cover mapping using eumap Library - 2000 to 2020
• Input dataset for land-cover mapping using eumap Library - 2000 to 2020

Sustainable Development Goals

• SDGdetector: an R-based text mining tool for quantifying efforts toward Sustainable Development Goals
• text2sdg: An R package to Monitor Sustainable Development Goals from Text

Sustainable Investment

• REMIND2.1: transformation and innovation dynamics of the energy-economic system within climate and sustainability limits
• WHAT-IF: an open-source decision support tool for water infrastructure investment planning within the water–energy–food–climate nexus

Cryosphere

Glacier and Ice Sheets

• PyTrx: A Python-Based Monoscopic Terrestrial Photogrammetry Toolset for Glaciology
• Calving controlled by melt-under-cutting: detailed calving styles revealed through time-lapse observations
• Rapidly changing subglacial hydrological pathways at a tidewater glacier revealed through simultaneous observations of water pressure, supraglacial lakes, meltwater plumes and surface velocities
• DeepBedMap: a deep neural network for resolving the bed topography of Antarctica
• DeepBedMap: A super-resolution neural network created bed topography of Antarctica
• Worldwide version-controlled database of glacier thickness observations
• Greenland liquid water discharge from 1958 through 2019
• Greenland Ice Sheet solid ice discharge from 1986 through March 2020
• Greenland ice sheet mass balance from 1840 through next week
• pypromice: A Python package for processing automated weather station data
• Programme for Monitoring of the Greenland Ice Sheet (PROMICE) automatic weather station data
• icepyx: querying, obtaining, analyzing, and manipulating ICESat-2 datasets
• Description and validation of the ice-sheet model Yelmo (version 1.0)

Snow and Permafrost

• Present‐day climate forcing and response from black carbon in snow
• Glacier algae accelerate melt rates on the western Greenland Ice Sheet
• Intercomparison and improvement of two-stream shortwave radiative transfer schemes in Earth system models for a unified treatment of cryospheric surfaces
• SNICAR-ADv3: a community tool for modeling spectral snow albedo
• tsp (“Teaspoon”): A library for ground temperature data
• The Multiple Snow Data Assimilation System (MuSA v1.0)
• Resolving Small‐Scale Forest Snow Patterns Using an Energy Balance Snow Model With a One‐Layer Canopy
• A factorial snowpack model (FSM 1.0)
• Spatio-temporal information propagation using sparse observations in hyper-resolution ensemble-based snow data assimilation
• Exploring the potential of thermal infrared remote sensing to improve a snowpack model through an observing system simulation experiment
• Snowpack dynamics in the Lebanese mountains from quasi-dynamically downscaled ERA5 reanalysis updated by assimilating remotely sensed fractional snow-covered area
• Hyper-resolution ensemble-based snow reanalysis in mountain regions using clustering
• Ensemble-based assimilation of fractional snow-covered area satellite retrievals to estimate the snow distribution at Arctic sites

Sea Ice

• JRA-55 based surface dataset for driving ocean–sea-ice models (JRA55-do)
• ACCESS-OM2 v1.0: a global ocean–sea ice model at three resolutions
• How Does Antarctic Bottom Water Cross the Southern Ocean?
• Anomalous Nutricline Drives Marked Biogeochemical Contrasts During the Kuroshio Large Meander
• Enhanced Southern Ocean CO₂ outgassing as a result of stronger and poleward shifted southern hemispheric westerlies
• Impact of high resolution on Arctic Ocean simulations in Ocean Model Intercomparison Project phase 2 (OMIP-2)
• ACCESS-OM2 v1.0: a global ocean–sea ice model at three resolutions
• The Finite-volumE Sea ice–Ocean Model (FESOM2)
• Assessment of the Finite-volumE Sea ice-Ocean Model (FESOM2.0) – Part 1: Description of selected key model elements and comparison to its predecessor version
• Scalability and some optimization of the Finite-volumE Sea ice–Ocean Model, Version 2.0 (FESOM2)
• Evaluation of FESOM2.0 Coupled to ECHAM6.3: Preindustrial and HighResMIP Simulations
• Impact of sea-ice model complexity on the performance of an unstructured-mesh sea-ice/ocean model under different atmospheric forcings
• Code associated with the paper: 'Seasonal Arctic sea ice forecasting with probabilistic deep learning'

Energy Systems

Grid Analysis and Planning

• FlexPlan.jl - An open-source Julia tool for holistic transmission and distribution grid planning
• GridPACK^TM: A framework for developing power grid simulations on high-performance computing platforms
• ElectricGrid.jl - A Julia-based modeling and simulation tool for power electronics-driven electric energy grids
• Easy SimAuto (ESA): A Python Package that Simplifies Interacting with PowerWorld Simulator

Building Energy Monitoring

Energy System Modeling Frameworks

• Illustrating the Benefits of Openness: A Large-Scale Spatial Economic Dispatch Model Using the Julia Language
• PSP‐UFU: An open‐source, graphical, and multiplatform software for power system studies
• Power system education and research applications using free and open-source, graphical and multiplatform PSP-UFU software
• Uniformly constrained land eligibility for onshore European wind power
• The techno-economic potential of offshore wind energy with optimized future turbine designs in Europe
• MATPOWER User's Manual
• MATPOWER: Steady-State Operations, Planning, and Analysis Tools for Power Systems Research and Education
• MATPOWER's extensible optimal power flow architecture
• On Computational Issues of Market-Based Optimal Power Flow
• Secure Planning and Operations of Systems With Stochastic Sources, Energy Storage, and Active Demand
• Using the Matpower Optimal Scheduling Tool to Test Power System Operation Methodologies Under Uncertainty
• CapacityExpansion: A capacity expansion modeling framework in Julia
• On representation of temporal variability in electricity capacity planning models
• The Greater Mekong's Climate‐Water‐Energy Nexus: How ENSO‐Triggered Regional Droughts Affect Power Supply and CO ₂ Emissions
• PowNet: A Network-Constrained Unit Commitment/Economic Dispatch Model for Large-Scale Power Systems Analysis
• Expected Benefits of Laos’ Hydropower Development Curbed by Hydroclimatic Variability and Limited Transmission Capacity: Opportunities to Reform
• Generating high-resolution multi-energy load profiles for remote areas with an open-source stochastic model
• Modeling of a Village-Scale Multi-Energy System for the Integrated Supply of Electric and Thermal Energy
• Two-Stage Stochastic Sizing of a Rural Micro-Grid Based on Stochastic Load Generation
• Calliope: a multi-scale energy systems modelling framework
• oemof.solph—A model generator for linear and mixed-integer linear optimisation of energy systems
• The Open Energy Modelling Framework (oemof) - A new approach to facilitate open science in energy system modelling
• PowerSystems.jl — A power system data management package for large scale modeling
• PyPSA: Python for Power System Analysis
• Opening Up Transactive Systems: Introducing TESS and Specification in a Field Deployment
• Spine Toolbox: A flexible open-source workflow management system with scenario and data management
• Multi-Vector Simulator
• OpenTEPES: Open-source Transmission and Generation Expansion Planning

Renewable Energy Integration

• atlite: A Lightweight Python Package for Calculating Renewable Power Potentials and Time Series
• The Spreadsheet Energy System Model Generator (SESMG): A tool for the optimization of urban energy systems
• The Renewable Energy Potential (reV) Model: A Geospatial Platform for Technical Potential and Supply Curve Modeling

Regional Energy System Models

• PyPSA-Eur-Sec Version 0.1.0
• The potential role of a hydrogen network in Europe
• Speed of technological transformations required in Europe to achieve different climate goals
• Nempy: A Python package for modelling the Australian National Electricity Market dispatch procedure
• TIM: modelling pathways to meet Ireland's long-term energy system challenges with the TIMES-Ireland Model (v1.0)
• Carbon Budget Scenarios for Ireland's Energy System, 2021-50
• Low energy demand scenario for feasible deep decarbonisation: Whole energy systems modelling for Ireland
• Decarbonisation of passenger light-duty vehicles using spatially resolved TIMES-Ireland Model
• PyPSA-Earth. A new global open energy system optimization model demonstrated in Africa
• Trade-Offs between Geographic Scale, Cost, and Infrastructure Requirements for Fully Renewable Electricity in Europe

Energy Data Accessibility and Integration

Energy Markets

• Simulations of scenarios with 100% renewable electricity in the Australian National Electricity Market

Load and Demand Forecasting

• Demand Response Analysis Framework (DRAF): An Open-Source Multi-Objective Decision Support Tool for Decarbonizing Local Multi-Energy Systems

Grid Management and Microgrid

• Relaxations and approximations of HVdc grid TNEP problem
• Gym-ANM: Reinforcement learning environments for active network management tasks in electricity distribution systems
• Gym-ANM: Open-source software to leverage reinforcement learning for power system management in research and education
• OMG: A Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control

Emissions

Carbon Offsets and Trading

• The effect of price-based demand response on carbon emissions in European electricity markets: The importance of adequate carbon prices
• elmada: Dynamic electricity carbon emission factors and prices for Europe
• Praxisbuch Energiewirtschaft
• Real-time carbon accounting method for the European electricity markets
• World carbon pricing database: sources and methods

Carbon Capture

• OceanBioME.jl: A flexible environment for modelling the coupled interactions between ocean biogeochemistry and physics
• Pymagicc: A Python wrapper for the simple climate model MAGICC
• Emulating coupled atmosphere-ocean and carbon cycle models with a simpler model, MAGICC6 – Part 1: Model description and calibration

Emission Observation and Modeling

• Integrated Methane Inversion (IMI 1.0): a user-friendly, cloud-based facility for inferring high-resolution methane emissions from TROPOMI satellite observations
• Estimating public transport emissions from General Transit Feed Specification data
• Estimating public transport emissions from General Transit Feed Specification data
• Pyra: Automated EM27/SUN Greenhouse Gas Measurement Software
• MUCCnet: Munich Urban Carbon Column network
• eixport: An R package to export emissions to atmospheric models
• CEDS v_2021_04_21 Release Emission Data
• CEDS v_2021_02_05 Release Emission Data
• Global Carbon Budget 2019
• Systematic over-crediting in California’s forest carbon offsets program
• California improved forest management offset project database
• Diagnosing spatial biases and uncertainties in global fire emissions inventories: Indonesia as regional case study
• Global fire emissions estimates during 1997–2016
• The Fire INventory from NCAR (FINN): a high resolution global model to estimate the emissions from open burning
• Biomass burning emissions estimated with a global fire assimilation system based on observed fire radiative power
• Global top-down smoke-aerosol emissions estimation using satellite fire radiative power measurements
• Incorporating features from the Stochastic Time-Inverted Lagrangian Transport (STILT) model into the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model: a unified dispersion model for time-forward and time-reversed applications
• Simulating atmospheric tracer concentrations for spatially distributed receptors: updates to the Stochastic Time-Inverted Lagrangian Transport model's R interface (STILT-R version 2)
• NOAA’s HYSPLIT Atmospheric Transport and Dispersion Modeling System
• A near-field tool for simulating the upstream influence of atmospheric observations: The Stochastic Time-Inverted Lagrangian Transport (STILT) model

Carbon Intensity and Accounting

Natural Resources

Water Supply and Quality

• PyEt - a Python package to estimate potential and reference evapotranspiration
• Pysteps: an open-source Python library for probabilistic precipitation nowcasting (v1.0)
• Scale‐dependent blending of ensemble rainfall nowcasts and numerical weather prediction in the open‐source pysteps library
• FloPy Workflows for Creating Structured and Unstructured MODFLOW Models
• Scripting MODFLOW Model Development Using Python and FloPy
• Flopy: The Python Interface for MODFLOW
• Modflow-setup: Robust automation of groundwater model construction
• SFRmaker and Linesink‐Maker: Rapid Construction of Streamflow Routing Networks from Hydrography Data
• Integrated hydrologic model development and postprocessing for GSFLOW using pyGSFLOW
• Rapid Model Development for GSFLOW With Python and pyGSFLOW
• User guide to Exploration and Graphics for RivEr Trends (EGRET) and dataRetrieval: R packages for hydrologic data
• Documentation for the MODFLOW 6 framework
• Documentation for the MODFLOW 6 Groundwater Flow Model
• Documentation for the “XT3D” option in the Node Property Flow (NPF) Package of MODFLOW 6
• Hydraulic‐Head Formulation for Density‐Dependent Flow and Transport
• Use of the MODFLOW 6 Water Mover Package to Represent Natural and Managed Hydrologic Connections
• The MODFLOW Application Programming Interface for simulation control and software interoperability
• Documentation for the MODFLOW 6 Groundwater Transport Model
• Documentation for the Skeletal Storage, Compaction, and Subsidence (CSUB) Package of MODFLOW 6
• MODFLOW as a Configurable Multi‐Model Hydrologic Simulator
• MODFLOW 6, the U.S. Geological Survey Modular Hydrologic Model
• SWMM5+ Alpha Release Documentation
• Operational Evapotranspiration Mapping Using Remote Sensing and Weather Datasets: A New Parameterization for the SSEB Approach
• Evaluating Landsat 8 evapotranspiration for water use mapping in the Colorado River Basin
• Satellite-based water use dynamics using historical Landsat data (1984–2014) in the southwestern United States
• Satellite Psychrometric Formulation of the Operational Simplified Surface Energy Balance (SSEBop) Model for Quantifying and Mapping Evapotranspiration
• Long-Term (1986–2015) Crop Water Use Characterization over the Upper Rio Grande Basin of United States and Mexico Using Landsat-Based Evapotranspiration
• Characterizing Crop Water Use Dynamics in the Central Valley of California Using Landsat-Derived Evapotranspiration
• Mapping actual evapotranspiration using Landsat for the conterminous United States: Google Earth Engine implementation and assessment of the SSEBop model
• Improving the Operational Simplified Surface Energy Balance Evapotranspiration Model Using the Forcing and Normalizing Operation
• EPyT: An EPANET-Python Toolkit for Smart Water Network Simulations
• Multi-scale trend analysis of water quality using error propagation of generalized additive models
• Towards a global Reservoir Assessment Tool for predicting hydrologic impacts and operating patterns of existing and planned reservoirs
• The Variable Infiltration Capacity model version 5 (VIC-5): infrastructure improvements for new applications and reproducibility
• PySWMM: The Python Interface to Stormwater Management Model (SWMM)
• mosartwmpy: A Python implementation of the MOSART-WM coupled hydrologic routing and water management model
• A water resource simulator in Python

Soil and Land

• A Global Database of Soil Respiration Data, Version 3.0
• A restructured and updated global soil respiration database (SRDB-V5)
• A global database of soil respiration data
• Land use and cover (LUC) rasters of the São Lourenço River Basin (2002 - 2014)
• Intensity analysis to unify measurements of size and stationarity of land changes by interval, category, and transition
• Software for Data Analysis
• OpenLand: Software for Quantitative Analysis and Visualization of Land Use and Cover Change
• Simulating the thermal regime and thaw processes of ice-rich permafrost ground with the land-surface model CryoGrid 3
• Rapid degradation of permafrost underneath waterbodies in tundra landscapes—Toward a representation of thermokarst in land surface models
• Pathways of ice-wedge degradation in polygonal tundra under different hydrological conditions
• Stability Conditions of Peat Plateaus and Palsas in Northern Norway
• Thermal erosion patterns of permafrost peat plateaus in northern Norway
• Fast response of cold ice-rich permafrost in northeast Siberia to a warming climate
• Effects of multi-scale heterogeneity on the simulated evolution of ice-rich permafrost lowlands under a warming climate
• Introducing a Framework of Self-Organizing Maps for Regression of Soil Moisture with Hyperspectral Data
• Hyperspectral benchmark dataset on soil moisture
• Deep Convolutional Neural Networks for Hyperspectral Image Classification
• Transfer Learning for Soil Spectroscopy Based on Convolutional Neural Networks and Its Application in Soil Clay Content Mapping Using Hyperspectral Imagery
• CNN Soil Texture Classification
• SOIL TEXTURE CLASSIFICATION WITH 1D CONVOLUTIONAL NEURAL NETWORKS BASED ON HYPERSPECTRAL DATA
• LUCAS Soil Texture Processing Scripts
• Development and Applications of Machine Learning Methods for Hyperspectral Data
• Advancing simulations of water fluxes, soil moisture and drought stress by using the LWF-Brook90 hydrological model in R
• Sensitivity of Annual Evaporation to Soil and Root Properties in Two Models of Contrasting Complexity
• NLMR and landscapetools: An integrated environment for simulating and modifying neutral landscape models in R
• SCOPE 2.0: A model to simulate vegetated land surface fluxes and satellite signals
• An integrated model of soil-canopy spectral radiances, photosynthesis, fluorescence, temperature and energy balance
• landscapemetrics: an open‐source R tool to calculate landscape metrics
• Information theory as a consistent framework for quantification and classification of landscape patterns
• PyLandStats: An open-source Pythonic library to compute landscape metrics
• Decomposability of soil organic matter over time: The Soil Incubation Database (SIDb, version 1.0) and guidance for incubation procedures
• An open-source database for the synthesis of soil radiocarbon data: International Soil Radiocarbon Database (ISRaD) version 1.0

Air Quality

• rfasst: An R tool to estimate air pollution impacts on health and agriculture
• Four-Month Changes in Air Quality during and after the COVID-19 Lockdown in Six Megacities in China
• rdefra: Interact with the UK AIR Pollution Database from DEFRA
• metno/emep-ctm: OpenSource rv4.15 (201709)
• PM2.5-GNN

Consumption

Agriculture and Nutrition

• The DSSAT crop modeling ecosystem
• The DSSAT cropping system model
• MAgPIE 4 – a modular open-source framework for modeling global land systems
• FIELDimageR: An R package to analyze orthomosaic images from agricultural field trials
• FIELDimageR.Extra: Advancing user experience and computational efficiency for analysis of orthomosaic from agricultural field trials
• AquaCrop-OSPy: Bridging the gap between research and practice in crop-water modeling
• AquaCrop-OS: An open source version of FAO's crop water productivity model
• Iteratively forecasting biological invasions with PoPS and a little help from our friends
• Geospatial simulation steering for adaptive management
• osiris: An R package to process climate impacts on agricultural yields for the Global Change Analysis Model
• Exploring uncertainties in global crop yield projections in a large ensemble of crop models and CMIP5 and CMIP6 climate scenarios
• The GGCMI Phase 2 emulators: global gridded crop model responses to changes in CO&lt;sub&gt;2&lt;/sub&gt;, temperature, water, and nitrogen (version 1.0)
• A crop yield change emulator for use in GCAM and similar models: Persephone v1.0
• EuroCrops: The Largest Harmonized Open Crop Dataset Across the European Union
• The importance of chill model selection — a multi-site analysis

Buildings and Heating

• The Building Data Genome Project 2, energy meter data from the ASHRAE Great Energy Predictor III competition
• EUReCA: An open-source urban building energy modelling tool for the efficient evaluation of cities energy demand
• TEASER: an open tool for urban energy modelling of building stocks
• Multiscale Solar Water Heating
• Automated urban energy system modeling and thermal building simulation based on OpenStreetMap data sets
• Modellierung und Optimierung von Mischgebieten
• Points for energy renovation (PointER): A point cloud dataset of a million buildings linked to energy features
• LoadProfileGenerator: An Agent-Based Behavior Simulation for Generating Residential Load Profiles
• AixCaliBuHA: Automated calibration of building and HVAC systems
• pythermalcomfort: A Python package for thermal comfort research
• TESPy: Thermal Engineering Systems in Python
• Generic and Open-Source Exergy Analysis—Extending the Simulation Framework TESPy
• Thermofeel: A python thermal comfort indices library
• NILMTK
• NILMTK v0.2: a non-intrusive load monitoring toolkit for large scale data sets
• Towards reproducible state-of-the-art energy disaggregation
• Modelica Buildings library
• AixLib: an open-source Modelica library for compound building energy systems from component to district level with automated quality management
• Optimal Design of District Heating Networks with Distributed Thermal Energy Storages – Method and Case Study
• Enhanced software and platform for the Town Energy Balance (TEB) model
• A Physically-Based Scheme For The Urban Energy Budget In Atmospheric Models
• WRF‐TEB: Implementation and Evaluation of the Coupled Weather Research and Forecasting (WRF) and Town Energy Balance (TEB) Model
• The Canopy and Aerosol Particles Interactions in TOulouse Urban Layer (CAPITOUL) experiment
• A Physically-Based Scheme For The Urban Energy Budget In Atmospheric Models
• Building optimization testing framework (BOPTEST) for simulation-based benchmarking of control strategies in buildings

Computation and Communication

• Green Algorithms: Quantifying the Carbon Footprint of Computation
• Software‐in‐the‐loop simulation for developing and testing carbon‐aware applications
• perun: Benchmarking Energy Consumption of High-Performance Computing Applications

Mobility and Transportation

• The demand-side mitigation gap in German passenger transport
• Thermal Management System Optimization for a Parallel Hybrid Aircraft Considering Mission Fuel Burn
• Accessibility by proximity: Addressing the lack of interactive accessibility instruments for active mobility
• Population Disaggregation on the Building Level Based on Outdated Census Data
• Assessment of the usefulness of the accessibility instrument GOAT for the planning practice
• Generating high-resolution multi-energy load profiles for remote areas with an open-source stochastic model
• Impact of mass-scale deployment of electric vehicles and benefits of smart charging across all European countries
• gym-electric-motor (GEM): A Python toolbox for the simulation of electric drive systems
• The Propensity to Cycle Tool: An open source online system for sustainable transport planning
• Scenarios of cycling to school in England, and associated health and carbon impacts: Application of the ‘Propensity to Cycle Tool’
• Vehicle Energy Dataset (VED), A Large-Scale Dataset for Vehicle Energy Consumption Research

Production and Industry

• Move over! Stock turnover, retrofit and industrial energy efficiency
• Capital Adjustment Patterns in Manufacturing Plants

Biosphere

Marine Life and Fishery

• fishRman: A Shiny R Dashboard improving Global Fishing Watch data availability
• A long-term monitoring database on fish and crayfish species in French rivers
• A long-term monitoring database on fish and crayfish species in French rivers
• The FAIR Guiding Principles for scientific data management and stewardship
• An open-source, citizen science and machine learning approach to analyse subsea movies
• rfishbase: exploring, manipulating and visualizing FishBase data from R
• dataaimsr: An R Client for the Australian Institute of Marine Science Data Platform API which provides easy access to AIMS Data Platform
• PlanktoScope: Affordable Modular Quantitative Imaging Platform for Citizen Oceanography
• Beyond visualizing catch-at-age models: Lessons learned from the r4ss package about software to support stock assessments
• A coupled pelagic–benthic–sympagic biogeochemical model for the Bering Sea: documentation and validation of the BESTNPZ model (v2019.08.23) within a high-resolution regional ocean model
• droglenc/RFishBC: Getting a Zenodo DOI
• Pyafscgap.org: Open source multi-modal Python-based tools for NOAA AFSC RACE GAP
• PlanktonIndividuals.jl: A GPU supported individual-based phytoplankton life cycle model

Species Distribution Modeling

• flexsdm: An r package for supporting a comprehensive and flexible species distribution modelling workflow
• tidysdm: leveraging the flexibility oftidymodelsfor Species Distribution Modelling in R
• Maximum entropy modeling of species geographic distributions
• ENMeval 2.0: Redesigned for customizable and reproducible modeling of species’ niches and distributions
• ENMeval: An R package for conducting spatially independent evaluations and estimating optimal model complexity for Maxent ecological niche models
• elapid: Species distribution modeling tools for Python

Biodiversity Data Cleaning and Standardization

• Darwin Core: An Evolving Community-Developed Biodiversity Data Standard
• bdc: A toolkit for standardizing, integrating and cleaning biodiversity data

Conservation and Restoration

• Protected areas and global conservation of migratory birds
• wdpar: Interface to the World Database on Protected Areas
• restoptr: an R package for ecological restoration planning

Forest Remote Sensing

• Using discrete‐return airborne laser scanning to quantify number of canopy strata across diverse forest types
• Fusing Landsat and SAR Data for Mapping Tropical Deforestation through Machine Learning Classification and the PVts-β Non-Seasonal Detection Approach
• Non-intersecting leaf insertion algorithm for tree structure models
• Weighing trees with lasers: advances, challenges and opportunities
• Crown Data for "Accurate delineation of individual tree crowns in tropical forests from aerial RGB imagery using Mask R-CNN"
• Accurate delineation of individual tree crowns in tropical forests from aerial RGB imagery using Mask R‐CNN
• Tree Crown Detection and Delineation in a Temperate Deciduous Forest from UAV RGB Imagery Using Deep Learning Approaches: Effects of Spatial Resolution and Species Characteristics
• sgsR: a structurally guided sampling toolbox for LiDAR-based forest inventories
• DetecTree: Tree detection from aerial imagery in Python
• The Global Ecosystem Dynamics Investigation: High-resolution laser ranging of the Earth’s forests and topography
• The GEDI Simulator: A Large‐Footprint Waveform Lidar Simulator for Calibration and Validation of Spaceborne Missions
• Performance of stem denoising and stem modelling algorithms on single tree point clouds from terrestrial laser scanning
• Enhancing Methods for Under-Canopy Unmanned Aircraft System Based Photogrammetry in Complex Forests for Tree Diameter Measurement
• Forest Structural Complexity Tool—An Open Source, Fully-Automated Tool for Measuring Forest Point Clouds

Biodiversity Data Access and Management

• Global biotic interactions: An open infrastructure to share and analyze species-interaction datasets
• IUCNN – Deep learning approaches to approximate species' extinction risk
• Automated conservation assessment of the orchid family with deep learning

Plants and Vegetation

• Long-term, medium spatial resolution annual land surface phenology with a Bayesian hierarchical model
• CPlantBox, a whole plant modelling framework for the simulation of water and carbon related processes
• AusTraits, a curated plant trait database for the Australian flora
• plant: A package for modelling forest trait ecology and evolution
• Influence of four major plant traits on average height, leaf‐area cover, net primary productivity, and biomass density in single‐species forests: a theoretical investigation
• Trajectories: how functional traits influence plant growth and shade tolerance across the life-cycle

Forest Modeling and Analysis

• r3PG – An r package for simulating forest growth using the 3‐PG process‐based model
• Analysing the spatial and temporal dynamics of species interactions in mixed-species forests and the effects of stand density using the 3-PG model
• A generalised model of forest productivity using simplified concepts of radiation-use efficiency, carbon balance and partitioning
• Assessing the response of forest productivity to climate extremes in Switzerland using model–data fusion
• Calibration of the process-based model 3-PG for major central European tree species
• ESA WorldCover 10 m 2020 v100 reprojected to the Sentinel-2 UTM Tiling Grid
• Adjudicating Perspectives on Forest Structure: How Do Airborne, Terrestrial, and Mobile Lidar-Derived Estimates Compare?
• Coupling a water balance model with forest inventory data to predict drought stress: the role of forest structural changes vs. climate changes
• Unravelling the effect of species mixing on water use and drought stress in Mediterranean forests: A modelling approach
• SurEau-Ecos v2.0: a trait-based plant hydraulics model for simulations of plant water status and drought-induced mortality at the ecosystem level
• MEDFATE 2.9.3: a trait-enabled model to simulate Mediterranean forest function and dynamics at regional scales

Wildfire

• burnr: Fire history analysis and graphics in R
• Caliver: An R package for CALIbration and VERification of forest fire gridded model outputs
• ERA5-based global meteorological wildfire danger maps
• A 1980–2018 global fire danger re-analysis dataset for the Canadian Fire Weather Indices
• FIRED (Fire Events Delineation): An Open, Flexible Algorithm and Database of US Fire Events Derived from the MODIS Burned Area Product (2001–2019)
• Country-level fire perimeter datasets (2001–2021)

Biomass

• The BIOMASS Level 2 Prototype Processor: Design and Experimental Results of Above-Ground Biomass Estimation
• High-resolution wall-to-wall land-cover mapping and land change assessment for Australia from 1985 to 2015
• Global mapping of potential natural vegetation: an assessment of machine learning algorithms for estimating land potential

Biodiversity Analysis and Metrics

• Entropy and diversity
• biodivMapR: An r package for α‐ and β‐diversity mapping using remotely sensed images
• Mapping tropical forest canopy diversity using high‐fidelity imaging spectroscopy
• Measurement of Biodiversity (MoB): A method to separate the scale‐dependent effects of species abundance distribution, density, and aggregation on diversity change
• A multiscale framework for disentangling the roles of evenness, density, and aggregation on diversity gradients
• Embracing scale‐dependence to achieve a deeper understanding of biodiversity and its change across communities
• Biodiverse, a tool for the spatial analysis of biological and related diversity
• A practical guide to the application of the IUCN Red List of Ecosystems criteria
• ENMTML: An R package for a straightforward construction of complex ecological niche models

Terrestrial Wildlife

• AIDE: Accelerating image‐based ecological surveys with interactive machine learning

Deforestation and Reforestation

• Spatial scenario of tropical deforestation and carbon emissions for the 21^stcentury
• forc-db/GROA: Release with Cook-Patton et al. 2020, Nature.

Avian Monitoring and Analysis

• eBird Status and Trends
• bioRad: biological analysis and visualization of weather radar data
• Global positioning with animal‐borne pressure sensors
• Reconstructing bird trajectories from pressure and wind data using a highly optimized hidden Markov model

Bioacoustics and Acoustic Data Analysis

• Estimating animal acoustic diversity in tropical environments using unsupervised multiresolution analysis
• scikit‐maad: An open‐source and modular toolbox for quantitative soundscape analysis in Python

Ecological and Environmental Modeling

• Facilitating feedbacks between field measurements and ecosystem models
• Predicting yields of short-rotation hybrid poplar (Populusspp.) for the United States through model–data synthesis
• On improving the communication between models and data
• Model‐data assimilation of multiple phenological observations to constrain and predict leaf area index
• portalcasting: Supporting automated forecasting of rodent populations

Forest Observation and Management

• rFIA: An R package for estimation of forest attributes with the US Forest Inventory and Analysis database

Hydrosphere

Ocean Carbon and Temperature

• Comparison of ten packages that compute ocean carbonate chemistry
• Routine uncertainty propagation for the marine carbon dioxide system
• MATLAB Program Developed for CO2 System Calculations
• The FluxEngine air–sea gas flux toolbox: simplified interface and extensions for in situ analyses and multiple sparingly soluble gases
• Global Carbon Budget 2020
• Revised estimates of ocean-atmosphere CO2 flux are consistent with ocean carbon inventory
• Satellites will address critical science priorities for quantifying ocean carbon
• Key Uncertainties in the Recent Air‐Sea Flux of CO₂
• A MATLAB toolbox to detect and analyze marine heatwaves
• heatwaveR: A central algorithm for the detection of heatwaves and cold-spells
• AIBECS.jl: A tool for exploring global marine biogeochemical cycles.
• PyCO2SYS v1.8: marine carbonate system calculations in Python
• Improved routines to model the ocean carbonate system: mocsy 2.0
• Comparison of ten packages that compute ocean carbonate chemistry
• Routine uncertainty propagation for the marine carbon dioxide system
• ERSEM 15.06: a generic model for marine biogeochemistry and the ecosystem dynamics of the lower trophic levels
• Routine uncertainty propagation for the marine carbon dioxide system

Waves and Currents

• First release of OpenDrift, an open source framework for ocean trajectory modelling
• Parcels v0.9: prototyping a Lagrangian Ocean Analysis framework for the petascale age
• The Parcels v2.0 Lagrangian framework: new field interpolation schemes
• Efficiently simulating Lagrangian particles in large-scale ocean flows — Data structures and their impact on geophysical applications

Freshwater and Hydrology

• ropensci/hydroscoper: hydroscoper 1.0.0
• hydroscoper: R interface to the Greek National Data Bank for Hydrological and Meteorological Information
• pyflowline: a mesh-independent river network generator for hydrologic models
• Topological Relationship‐Based Flow Direction Modeling: Mesh‐Independent River Networks Representation
• NeuralHydrology — A Python library for Deep Learning research in hydrology
• Automatic water detection from multidimensional hierarchical clustering for Sentinel-2 images and a comparison with Level 2A processors
• A multi-temporal method for cloud detection, applied to FORMOSAT-2, VENµS, LANDSAT and SENTINEL-2 images
• A land‐surface hydrology parameterization with subgrid variability for general circulation models
• A simple hydrologically based model of land surface water and energy fluxes for general circulation models
• The Variable Infiltration Capacity model version 5 (VIC-5): infrastructure improvements for new applications and reproducibility
• Statistical Interpolation of Groundwater Hydrographs
• Joint Estimation of Gross Recharge, Groundwater Usage, and Hydraulic Properties within HydroSight
• The good, the bad and the outliers: automated detection of errors and outliers from groundwater hydrographs
• rabpro: global watershed boundaries, river elevation profiles, and catchment statistics
• Global river hydrography and network routing: baseline data and new approaches to study the world's large river systems
• MERIT Hydro: A High‐Resolution Global Hydrography Map Based on Latest Topography Dataset
• LAGOS-NE: a multi-scaled geospatial and temporal database of lake ecological context and water quality for thousands of US lakes
• Building a multi-scaled geospatial temporal ecology database from disparate data sources: fostering open science and data reuse
• Land information system: An interoperable framework for high resolution land surface modeling
• High-performance Earth system modeling with NASA/GSFC’s Land Information System
• RivGraph: Automatic extraction and analysis of river and delta channel network topology
• PCR-GLOBWB 2: a 5 arcmin global hydrological and water resources model
• Near‐term forecasts of NEON lakes reveal gradients of environmental predictability across the US

Ocean Models

• Oceananigans.jl: Fast and friendly geophysical fluid dynamics on GPUs
• Kinetic Energy of Eddy‐Like Features From Sea Surface Altimetry

Ocean and Hydrology Data Access

• tidyhydat: Extract and Tidy Canadian Hydrometric Data
• OceanSpy: A Python package to facilitate ocean model data analysis and visualization
• argopy: A Python library for Argo ocean data analysis
• oce: an R package for Oceanographic Analysis

Coastal and Reefs

• CoastSat: A Google Earth Engine-enabled Python toolkit to extract shorelines from publicly available satellite imagery
• Sub-annual to multi-decadal shoreline variability from publicly available satellite imagery
• Satellite-derived shoreline detection at a high-energy meso-macrotidal beach
• Beach Slopes From Satellite‐Derived Shorelines
• Beach-face slope dataset for Australia
• Pacific shoreline erosion and accretion patterns controlled by El Niño/Southern Oscillation
• Satellite-based shoreline detection along high-energy macrotidal coasts and influence of beach state
• Training data for: CoastSat image classification
• OceanMesh2D 1.0: MATLAB-based software for two-dimensional unstructured mesh generation in coastal ocean modeling
• Doubling of coastal flooding frequency within decades due to sea-level rise
• Empirical parameterization of setup, swash, and runup
• Mapping Australia's dynamic coastline at mean sea level using three decades of Landsat imagery
• Geomorphic insights into Australia's coastal change using a national dataset derived from the multi-decadal Landsat archive
• Sub-Pixel Waterline Extraction: Characterising Accuracy and Sensitivity to Indices and Spectra
• Between the tides: Modelling the elevation of Australia's exposed intertidal zone at continental scale
• OceanMesh2D 1.0: MATLAB-based software for two-dimensional unstructured mesh generation in coastal ocean modeling
• On the automatic and a priori design of unstructured mesh resolution for coastal ocean circulation models
• Global storm tide modeling with ADCIRC v55: unstructured mesh design and performance
• JIGSAW-GEO (1.0): locally orthogonal staggered unstructured grid generation for general circulation modelling on the sphere
• Interference-sensitive coastal SAR altimetry retracking strategy for measuring significant wave height
• Benefits of fully focused SAR altimetry to coastal wave height estimates: A case study in the North Sea

Renewable Energy

Photovoltaics and Solar Energy

• SolarPILOT: A power tower solar field layout and characterization tool
• nasapower: A NASA POWER Global Meteorology, Surface Solar Energy and Climatology Data Client for R
• pvlib python: a python package for modeling solar energy systems
• Circular economy priorities for photovoltaics in the energy transition
• PV in the circular economy, a dynamic framework analyzing technology evolution and reliability impacts
• CarrierCapture.jl: Anharmonic Carrier Capture
• Rapid Recombination by Cadmium Vacancies in CdTe
• Upper limit to the photovoltaic efficiency of imperfect crystals from first principles
• RayFlare: flexible optical modelling of solar cells
• bifacial_radiance: a python package for modeling bifacial solar photovoltaic systems
• A Benchmark for Visual Identification of Defective Solar Cells in Electroluminescence Imagery
• Segmentation of photovoltaic module cells in uncalibrated electroluminescence images
• Automatic classification of defective photovoltaic module cells in electroluminescence images
• solaR: Solar Radiation and Photovoltaic Systems withR
• How transport layer properties affect perovskite solar cell performance: insights from a coupled charge transport/ion migration model
• A fast and robust numerical scheme for solving models of charge carrier transport and ion vacancy motion in perovskite solar cells
• OTSun, a python package for the optical analysis of solar-thermal collectors and photovoltaic cells with arbitrary geometry
• 3D-PV-Locator: Large-scale detection of rooftop-mounted photovoltaic systems in 3D
• Long-term patterns of European PV output using 30 years of validated hourly reanalysis and satellite data
• Improvement and validation of a model for photovoltaic array performance
• Robust PV Degradation Methodology and Application
• Quantifying Soiling Loss Directly From PV Yield
• Overcoming Communications Outages in Inverter Downtime Analysis
• Performance Comparison of Clipping Detection Techniques in AC Power Time Series

Wind Energy

• lidarwind: A Python package for retrieving wind profiles from Doppler lidar observations
• A simple solution method for the blade element momentum equations with guaranteed convergence
• FLOWUnsteady: An Interactional Aerodynamics Solver for Multirotor Aircraft and Wind Energy
• ERF: Energy Research and Forecasting
• OpenOA: An Open-Source Codebase For Operational Analysis of Wind Farms
• A Spatial-Economic Cost-Reduction Pathway Analysis for U.S. Offshore Wind Energy Development from 2015–2030
• SHARPy: A dynamic aeroelastic simulation toolbox for very flexible aircraft and wind turbines

Hydro Energy

• Capytaine: a Python-based linear potential flow solver

Bioenergy

• BioSTEAM: A Fast and Flexible Platform for the Design, Simulation, and Techno-Economic Analysis of Biorefineries under Uncertainty
• Software for biogas research: Tools for measurement and prediction of methane production

Geothermal Energy

• GOLEM, a MOOSE-based application
• Flexible parallel implicit modelling of coupled thermal–hydraulic–mechanical processes in fractured rocks
• GHEtool: An open-source tool for borefield sizing in Python
• Cost-efficient cooling of buildings by means of geothermal borefields with active and passive cooling
• Validated combined first and last year borefield sizing methodology.
• pygfunction 2.2 : New features and improvements in accuracy and computational efficiency

Industrial Ecology

Circular Economy and Waste

• Generation of sanitation system options for urban planning considering novel technologies
• Comparative analysis of sanitation systems for resource recovery: Influence of configurations and single technology components
• Ex-ante quantification of nutrient, total solids, and water flows in sanitation systems
• MARIDA: A benchmark for Marine Debris detection from Sentinel-2 remote sensing data
• Detecting and Classifying Marine Plastic Debris from high-resolution multispectral satellite data
• Solid waste optimization life‐cycle framework in Python (SwolfPy)
• Deep learning-based waste detection in natural and urban environments

Life Cycle Assessment

• FLOWSA: A Python Package Attributing Resource Use, Waste, Emissions, and Other Flows to Industries
• PRospective EnvironMental Impact asSEment (premise): A streamlined approach to producing databases for prospective life cycle assessment using integrated assessment models
• QSDsan: an integrated platform for quantitative sustainable design of sanitation and resource recovery systems
• Quantitative sustainable design (QSD) for the prioritization of research, development, and deployment of technologies: a tutorial and review
• BioSTEAM: A Fast and Flexible Platform for the Design, Simulation, and Techno-Economic Analysis of Biorefineries under Uncertainty
• The Activity Browser — An open source LCA software building on top of the brightway framework
• LCIA Formatter

Input Output Model

• EXIOBASE v3.3.sm
• Lifting the veil on the correction of double counting incidents in hybrid life cycle assessment
• Hybridization of complete PLCA and MRIO databases for a comprehensive product system coverage
• Correcting remaining truncations in hybrid life cycle assessment database compilation
• Modeling the circular economy in environmentally extended input-output tables: Methods, software and case study
• Pycirk exiobase data
• useeior: An Open-Source R Package for Building and Using US Environmentally-Extended Input–Output Models

Atmosphere

Atmospheric Composition and Dynamics

• The Mission Support System (MSS v7.0.4) and its use in planning for the SouthTRAC aircraft campaign
• A web service based tool to plan atmospheric research flights
• Isca, v1.0: a framework for the global modelling of the atmospheres of Earth and other planets at varying levels of complexity
• xarray: N-D labeled Arrays and Datasets in Python
• The Earth Model Column Collaboratory (EMC&lt;sup&gt;2&lt;/sup&gt;) v1.1: an open-source ground-based lidar and radar instrument simulator and subcolumn generator for large-scale models
• Evaluating cloud systems in the Met Office global forecast model using simulated CloudSat radar reflectivities
• The Python ARM Radar Toolkit (Py-ART), a Library for Working with Weather Radar Data in the Python Programming Language
• The Cloud Feedback Model Intercomparison Project Observational Simulator Package: Version 2
• Untangling the Annual Cycle of the Tropical Tropopause Layer with an Idealized Moist Model
• qgs: A flexible Python framework of reduced-order multiscale climate models
• Training Physics‐Based Machine‐Learning Parameterizations With Gradient‐Free Ensemble Kalman Methods
• Unified Entrainment and Detrainment Closures for Extended Eddy‐Diffusivity Mass‐Flux Schemes
• A Generalized Mixing Length Closure for Eddy‐Diffusivity Mass‐Flux Schemes of Turbulence and Convection

Meteorological Observation and Forecast

• Forensic hydro-meteorological analysis of an extreme flash flood: The 2016-05-29 event in Braunsbach, SW Germany
• Multi-scenario Extreme Weather Simulator Application to Heat Waves: Ko’olauloa Community Resilience Hub
• A stochastic model of future extreme temperature events for infrastructure analysis
• Multi-scenario Extreme Weather Simulator Application to Heat Waves
• weathercan: Download and format weather data from Environment and Climate Change Canada
• An Open Source Software Suite for Multi-Dimensional Meteorological Data Computation and Visualisation
• Climate: An R Package to Access Free In-Situ Meteorological and Hydrological Datasets For Environmental Assessment
• IMDLIB: An open-source library for retrieval, processing and spatiotemporal exploratory assessments of gridded meteorological observation datasets over India
• Multivariate multi-step LSTM model for flood runoff prediction: a case study on the Godavari River Basin in India
• Rainfall time series forecasting using ARIMA model
• Multidecadal summer monsoon rainfall trend reversals in South Peninsular India: A new approach to examining long-term rainfall dataset
• Long-term ecological vulnerability assessment of Indian Sundarban region under present and future climatic conditions under CMIP6 model
• Analysing the Role of AHP Model to Identify Flood Hazard Zonation in a Coastal Island, India
• Assessing the nature of potential groundwater zones through machine learning (ML) algorithm in tropical plateau region, West Bengal, India
• Non-parametric Approaches to Identify Rainfall Pattern in Semi-Arid Regions: Ranipet, Vellore, and Tirupathur Districts, Tamil Nadu, India
• Assessment of drought trends and variabilities over the agriculture-dominated Marathwada Region, India
• Appraisal of historical trends in maximum and minimum temperature using multiple non-parametric techniques over the agriculture-dominated Narmada Basin, India
• PostWRF: Interactive tools for the visualization of the WRF and ERA5 model outputs
• Open source QGIS toolkit for the Advanced Research WRF modelling system
• Cloud archiving and data mining of High-Resolution Rapid Refresh forecast model output

Atmospheric Chemistry and Aerosol

• PySDM v1: particle-based cloud modeling package for warm-rain microphysics and aqueous chemistry
• New developments in PySDM and PySDM-examples v2: collisional breakup, immersion freezing, dry aerosol initialization, and adaptive time-stepping
• The super‐droplet method for the numerical simulation of clouds and precipitation: a particle‐based and probabilistic microphysics model coupled with a non‐hydrostatic model
• PyBox: An automated box-model generator for atmospheric chemistry and aerosol simulations.
• Chemistry Across Multiple Phases (CAMP) version 1.0: an integrated multiphase chemistry model
• PyCHAM: CHemistry with Aerosol Microphysics in Python
• PyCHAM (v2.1.1): a Python box model for simulating aerosol chambers
• Protocol for the development of the Master Chemical Mechanism, MCM v3 (Part A): tropospheric degradation of non-aromatic volatile organic compounds
• Surface Emissions Modulate Indoor SVOC Concentrations through Volatility-Dependent Partitioning
• Simulating the evolution of soot mixing state with a particle‐resolved aerosol model
• Estimating black carbon aging time-scales with a particle-resolved aerosol model
• Particle-resolved simulation of aerosol size, composition, mixing state, and the associated optical and cloud condensation nuclei activation properties in an evolving urban plume
• Weighted Flow Algorithms (WFA) for stochastic particle coagulation
• Impacts of black carbon mixing state on black carbon nucleation scavenging: Insights from a particle-resolved model
• Binning for Efficient Stochastic Multiscale Particle Simulations
• Quantifying aerosol mixing state with entropy and diversity measures
• Modeling the evolution of aerosol particles in a ship plume using PartMC-MOSAIC
• Single particle diversity and mixing state measurements
• Accelerated simulation of stochastic particle removal processes in particle-resolved aerosol models
• Black carbon mixing state impacts on cloud microphysical properties: Effects of aerosol plume and environmental conditions
• Metrics to quantify the importance of mixing state for CCN activity
• Simulating aerosol chamber experiments with the particle-resolved aerosol model PartMC
• A single-column particle-resolved model for simulating the vertical distribution of aerosol mixing state: WRF-PartMC-MOSAIC-SCM v1.0
• Quantifying Impacts of Aerosol Mixing State on Nucleation-Scavenging of Black Carbon Aerosol Particles
• Machine Learning to Predict the Global Distribution of Aerosol Mixing State Metrics
• Convergence of a generalized Weighted Flow Algorithm for stochastic particle coagulation
• Aerosol Mixing State: Measurements, Modeling, and Impacts
• Mixing state evolution of agglomerating particles in an aerosol chamber: Comparison of measurements and particle-resolved simulations
• Quantifying errors in the aerosol mixing-state index based on limited particle sample size
• Estimating Submicron Aerosol Mixing State at the Global Scale With Machine Learning and Earth System Modeling

Radiative Transfer

• vSmartMOM.jl: an Open-Source Julia Package for Atmospheric Radiative Transfer and Remote Sensing Tools
• Fast infrared radiative transfer calculations using graphics processing units: JURASSIC-GPU v2.0
• Retrieval of stratospheric temperatures from Atmospheric Infrared Sounder radiance measurements for gravity wave studies
• Envisat MIPAS measurements of CFC-11: retrieval, validation, and climatology
• Balancing Accuracy, Efficiency, and Flexibility in Radiation Calculations for Dynamical Models
• Analytical solution for first-order scattering in bistatic radiative transfer interaction problems of layered media
• A Generic First-Order Radiative Transfer Modelling Approach for the Inversion of Soil and Vegetation Parameters from Scatterometer Observations
• A three-dimensional parallel radiative transfer model for atmospheric heating rates for use in cloud resolving models—The TenStream solver
• 3-D radiative transfer in large-eddy simulations – experiences coupling the TenStream solver to the UCLA-LES

Atmospheric Dispersion and Transport

• IPART: A Python Package for Image-Processing based Atmospheric River Tracking
• Image-processing-based atmospheric river tracking method version 1 (IPART-1)
• Massive-Parallel Trajectory Calculations version 2.2 (MPTRAC-2.2): Lagrangian transport simulations on graphics processing units (GPUs)
• Lagrangian transport simulations of volcanic sulfur dioxide emissions: Impact of meteorological data products

Energy Storage

Hydrogen

• OPEM : Open Source PEM Cell Simulation Tool
• A New Model for Constant Fuel Utilization and Constant Fuel Flow in Fuel Cells
• OPEM : Open Source PEM Cell Simulation Tool

Battery

• liionpack: A Python package for simulating packs of batteries with PyBaMM
• BEEP: A Python library for Battery Evaluation and Early Prediction
• A computationally informed realisation algorithm for lithium-ion batteries implemented with LiiBRA.jl
• Multiphase Porous Electrode Theory
• Python Battery Mathematical Modelling (PyBaMM)
• impedance.py: A Python package for electrochemical impedance analysis
• Energy Arbitrage Optimization With Battery Storage: 3D-MILP for Electro-Thermal Performance and Semi-Empirical Aging Models
• Review and Performance Comparison of Mechanical-Chemical Degradation Models for Lithium-Ion Batteries