From 0c4303537764f560aee04ee7362c7b3638f9e7bb Mon Sep 17 00:00:00 2001 From: awarde96 Date: Mon, 2 Sep 2024 12:00:07 +0000 Subject: [PATCH 1/5] Complete vertical profile request code --- polytope_mars/features/verticalprofile.py | 39 +++++++++++++++++++++-- 1 file changed, 37 insertions(+), 2 deletions(-) diff --git a/polytope_mars/features/verticalprofile.py b/polytope_mars/features/verticalprofile.py index 155a22c..4b9e4af 100644 --- a/polytope_mars/features/verticalprofile.py +++ b/polytope_mars/features/verticalprofile.py @@ -1,6 +1,41 @@ +from polytope import shapes + from ..feature import Feature class VerticalProfile(Feature): - def __init__(self): - pass + def __init__(self, config): + assert config.pop("type") == "verticalprofile" + # self.start_step = config.pop("start", None) + # self.end_step = config.pop("end", None) + # self.axis = config.pop("axis", []) + + self.points = config.pop("points", []) + + assert len(config) == 0, f"Unexpected keys in config: {config.keys()}" + + def get_shapes(self): + # Time-series is a squashed box from start_step to start_end for each point # noqa: E501 + return [ + shapes.Union( + ["latitude", "longitude"], + *[ + shapes.Point( + ["latitude", "longitude"], + [[p[0], p[1]]], + method="nearest", # noqa: E501 + ) + for p in self.points + ], + ), + # shapes.Span("step", self.start_step, self.end_step), + ] + + def incompatible_keys(self): + return [] + + def coverage_type(self): + return "VerticalProfile" + + def name(self): + return "Vertical Profile" From bb049280b581223bed492ac076ba00373c05e85a Mon Sep 17 00:00:00 2001 From: awarde96 Date: Fri, 13 Sep 2024 09:30:55 +0000 Subject: [PATCH 2/5] Add example of timeseries request and plotting --- .gitignore | 1 - examples/time_series_example.ipynb | 5156 ++++++++++++++++++++++++++++ 2 files changed, 5156 insertions(+), 1 deletion(-) create mode 100644 examples/time_series_example.ipynb diff --git a/.gitignore b/.gitignore index d636716..6db307e 100644 --- a/.gitignore +++ b/.gitignore @@ -12,7 +12,6 @@ SOURCES.txt top_level.txt *.covjson *.grib -*.ipynb *.prj *.shx *.dbf diff --git a/examples/time_series_example.ipynb b/examples/time_series_example.ipynb new file mode 100644 index 0000000..7f83798 --- /dev/null +++ b/examples/time_series_example.ipynb @@ -0,0 +1,5156 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Timeseries request Example" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Import necessary libraries (Uncomment logging if you want to enable it)" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "#import logging\n", + "\n", + "#logger = logging.getLogger('')\n", + "#logger.setLevel(logging.DEBUG)\n", + "\n", + "import os\n", + "import json\n", + "\n", + "os.environ['ECCODES_DEFINITION_PATH'] = '/home/maaw/test_polytope/gribjump-bundle/build/share/eccodes/definitions'\n", + "os.environ['DYLD_LIBRARY_PATH'] = '/home/maaw/test_polytope/gribjump-bundle/build/lib/'\n", + "os.environ['GRIBJUMP_HOME'] = '/home/maaw/test_polytope/gribjump-bundle/build'\n", + "os.environ['METKIT_RAW_PARAM']='1'\n", + "os.environ['GRIBJUMP_THREADS']='8'\n", + "os.environ['GRIBJUMP_DEBUG']='0'\n", + "os.environ[\"FDB_HOME\"]=\"/home/fdbprod\"\n", + "\n", + "from covjsonkit.api import Covjsonkit\n", + "from polytope_mars.api import PolytopeMars\n", + "from conflator import Conflator\n", + "from polytope_mars.config import PolytopeMarsConfig " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Load options needed to pull operational data" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "options = {\n", + " \"axis_config\": [\n", + " {\n", + " \"axis_name\": \"date\",\n", + " \"transformations\": [{\"name\": \"merge\", \"other_axis\": \"time\", \"linkers\": [\"T\", \"00\"]}],\n", + " },\n", + " {\n", + " \"axis_name\": \"values\",\n", + " \"transformations\": [\n", + " {\n", + " \"name\": \"mapper\",\n", + " \"type\": \"octahedral\",\n", + " \"resolution\": 1280,\n", + " \"axes\": [\"latitude\", \"longitude\"],\n", + " }\n", + " ],\n", + " },\n", + " {\"axis_name\": \"latitude\", \"transformations\": [{\"name\": \"reverse\", \"is_reverse\": True}]},\n", + " {\"axis_name\": \"longitude\", \"transformations\": [{\"name\": \"cyclic\", \"range\": [0, 360]}]},\n", + " {\"axis_name\": \"step\", \"transformations\": [{\"name\": \"type_change\", \"type\": \"int\"}]},\n", + " {\"axis_name\": \"number\", \"transformations\": [{\"name\": \"type_change\", \"type\": \"int\"}]},\n", + " ],\n", + " \"compressed_axes_config\": [\n", + " \"longitude\",\n", + " \"latitude\",\n", + " \"levtype\",\n", + " \"step\",\n", + " \"date\",\n", + " \"domain\",\n", + " \"expver\",\n", + " \"param\",\n", + " \"class\",\n", + " \"stream\",\n", + " \"type\",\n", + " ],\n", + " \"pre_path\": {\"class\": \"od\", \"expver\": \"0001\", \"levtype\": \"sfc\", \"stream\": \"oper\", \"type\": \"fc\"},\n", + " }" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Make polytope-mars request for three parameters at a given point" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Gribjump: Union request is retrieve,class=od,date=20240911,time=0000,domain=g,expver=0001,levtype=sfc,param=169/167/168,step=0/1/2/3/4/5/6/7/8/9/10,stream=oper,type=fc\n", + "Gribjump Engine: Flattened requests and constructed union request: 0.089493 second elapsed, 0.088081 second cpu\n", + "Gribjump Engine: Called fdb.list and constructed file map: 0.127797 second elapsed, 0.081848 second cpu\n", + "Starting 8 threads\n", + "Gribjump Engine: Enqueued 6 file tasks: 0.000855 second elapsed, 0.001083 second cpu\n", + "Gribjump Progress: 1 of 6 tasks complete\n", + "Gribjump Progress: 2 of 6 tasks complete\n", + "Gribjump Progress: 3 of 6 tasks complete\n", + "Gribjump Progress: 4 of 6 tasks complete\n", + "Gribjump Progress: 5 of 6 tasks complete\n", + "Gribjump Progress: 6 of 6 tasks complete\n", + "Gribjump Engine: All tasks finished: 0.666395 second elapsed, 0.428664 second cpu\n", + "Gribjump Engine: Repackaged results: 0.000233 second elapsed, 0.000422 second cpu\n" + ] + } + ], + "source": [ + "# time series test\n", + "request = {\n", + " \"class\": \"od\",\n", + " \"stream\" : \"oper\",\n", + " \"type\" : \"fc\",\n", + " \"date\" : \"20240911\",\n", + " \"time\" : \"0000\",\n", + " \"levtype\" : \"sfc\",\n", + " \"expver\" : \"0001\", \n", + " \"domain\" : \"g\",\n", + " \"param\" : \"167/168/169\",\n", + " \"step\" : \"0/to/10\",\n", + " \"feature\" : {\n", + " \"type\" : \"timeseries\",\n", + " \"points\": [[38, -9.5]],\n", + " \"axis\": \"step\",\n", + " },\n", + "}\n", + "\n", + "result = PolytopeMars().extract(request)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Show resulting covjson" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'type': 'CoverageCollection',\n", + " 'domainType': 'PointSeries',\n", + " 'coverages': [{'mars:metadata': {'class': 'od',\n", + " 'Forecast date': '2024-09-11T00:00:00Z',\n", + " 'domain': 'g',\n", + " 'expver': '0001',\n", + " 'levtype': 'sfc',\n", + " 'stream': 'oper',\n", + " 'type': 'fc',\n", + " 'number': 0},\n", + " 'type': 'Coverage',\n", + " 'domain': {'type': 'Domain',\n", + " 'axes': {'x': {'values': [37.99648420814]},\n", + " 'y': {'values': [350.443548387097]},\n", + " 'z': {'values': [0]},\n", + " 't': {'values': ['2024-09-11T00:00:00Z',\n", + " '2024-09-11T01:00:00Z',\n", + " '2024-09-11T02:00:00Z',\n", + " '2024-09-11T03:00:00Z',\n", + " '2024-09-11T04:00:00Z',\n", + " '2024-09-11T05:00:00Z',\n", + " '2024-09-11T06:00:00Z',\n", + " '2024-09-11T07:00:00Z',\n", + " '2024-09-11T08:00:00Z',\n", + " '2024-09-11T09:00:00Z',\n", + " '2024-09-11T10:00:00Z']}}},\n", + " 'ranges': {'ssrd': {'type': 'NdArray',\n", + " 'dataType': 'float',\n", + " 'shape': [11],\n", + " 'axisNames': ['ssrd'],\n", + " 'values': [0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 79360.0,\n", + " 695808.0,\n", + " 2023424.0,\n", + " 4013568.0]},\n", + " '2t': {'type': 'NdArray',\n", + " 'dataType': 'float',\n", + " 'shape': [11],\n", + " 'axisNames': ['2t'],\n", + " 'values': [290.53614807128906,\n", + " 290.4341278076172,\n", + " 290.1544952392578,\n", + " 290.1749572753906,\n", + " 290.2010192871094,\n", + " 290.18431091308594,\n", + " 290.18267822265625,\n", + " 290.1838684082031,\n", + " 290.2303161621094,\n", + " 290.24159240722656,\n", + " 290.4903869628906]},\n", + " '2d': {'type': 'NdArray',\n", + " 'dataType': 'float',\n", + " 'shape': [11],\n", + " 'axisNames': ['2d'],\n", + " 'values': [288.26271057128906,\n", + " 288.1157684326172,\n", + " 288.2443389892578,\n", + " 287.9405822753906,\n", + " 287.8182067871094,\n", + " 287.61204528808594,\n", + " 287.46197509765625,\n", + " 287.3362121582031,\n", + " 287.4314880371094,\n", + " 287.68104553222656,\n", + " 287.6075744628906]}}}],\n", + " 'referencing': [{'coordinates': ['x', 'y', 'z'],\n", + " 'system': {'type': 'GeographicCRS',\n", + " 'id': 'http://www.opengis.net/def/crs/OGC/1.3/CRS84'}}],\n", + " 'parameters': {'ssrd': {'type': 'Parameter',\n", + " 'description': {'en': \"This parameter is the amount of solar radiation (also known as shortwave radiation) that reaches a horizontal plane at the surface of the Earth. This parameter comprises both direct and diffuse solar radiation.

Radiation from the Sun (solar, or shortwave, radiation) is partly reflected back to space by clouds and particles in the atmosphere (aerosols) and some of it is absorbed. The rest is incident on the Earth's surface (represented by this parameter). See further documentation.

To a reasonably good approximation, this parameter is the model equivalent of what would be measured by a pyranometer (an instrument used for measuring solar radiation) at the surface. However, care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box.

This parameter is accumulated over a particular time period which depends on the data extracted. The units are joules per square metre (J m-2). To convert to watts per square metre (W m-2), the accumulated values should be divided by the accumulation period expressed in seconds. The ECMWF convention for vertical fluxes is positive downwards.\"},\n", + " 'unit': {'symbol': 'J m**-2'},\n", + " 'observedProperty': {'id': 'ssrd',\n", + " 'label': {'en': 'Surface short-wave (solar) radiation downwards'}}},\n", + " '2t': {'type': 'Parameter',\n", + " 'description': {'en': \"This parameter is the temperature of air at 2m above the surface of land, sea or in-land waters.

2m temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions. See further information .

This parameter has units of kelvin (K). Temperature measured in kelvin can be converted to degrees Celsius (°C) by subtracting 273.15.

Please note that the encodings listed here for s2s & uerra (which includes encodings for carra/cerra) include entries for Mean 2 metre temperature. The specific encoding for Mean 2 metre temperature can be found in 228004.\"},\n", + " 'unit': {'symbol': 'K'},\n", + " 'observedProperty': {'id': '2t', 'label': {'en': '2 metre temperature'}}},\n", + " '2d': {'type': 'Parameter',\n", + " 'description': {'en': \"This parameter is the temperature to which the air, at 2 metres above the surface of the Earth, would have to be cooled for saturation to occur.

It is a measure of the humidity of the air. Combined with temperature and pressure, it can be used to calculate the relative humidity.

2m dew point temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions. See further information.This parameter has units of kelvin (K). Temperature measured in kelvin can be converted to degrees Celsius (°C) by subtracting 273.15.\"},\n", + " 'unit': {'symbol': 'K'},\n", + " 'observedProperty': {'id': '2d',\n", + " 'label': {'en': '2 metre dewpoint temperature'}}}}}" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "result" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Convert and display as xarray" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "cbb7cdc74d5a4fde9ceee10758274731", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import ipywidgets as widgets\n", + "import earthkit.plots\n", + "import earthkit.data\n", + "\n", + "TIME_FREQUENCY = \"1H\"\n", + "\n", + "def f():\n", + " data = earthkit.data.from_source(\"file\", \"test_timeseries.covjson\")\n", + " chart = earthkit.plots.Chart()\n", + " chart.box(data, time_frequency=TIME_FREQUENCY)\n", + " chart.line(data, time_frequency=TIME_FREQUENCY, aggregation=\"mean\", line_color=\"purple\")\n", + " chart.show()\n", + "\n", + "out = widgets.interactive_output(f, {})\n", + "display(out)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "polytope_venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.8" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} From 126edf7edca3518854401e19bcbfd83f725fcc6b Mon Sep 17 00:00:00 2001 From: awarde96 Date: Fri, 13 Sep 2024 12:17:54 +0000 Subject: [PATCH 3/5] Add example for bounding box --- examples/bounding_box_example.ipynb | 5581 +++++++++++++++++++++++++++ 1 file changed, 5581 insertions(+) create mode 100644 examples/bounding_box_example.ipynb diff --git a/examples/bounding_box_example.ipynb b/examples/bounding_box_example.ipynb new file mode 100644 index 0000000..b023755 --- /dev/null +++ b/examples/bounding_box_example.ipynb @@ -0,0 +1,5581 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Bounding Box request Example" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Import necessary libraries (Uncomment logging if you want to enable it)" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "#import logging\n", + "\n", + "#logger = logging.getLogger('')\n", + "#logger.setLevel(logging.DEBUG)\n", + "\n", + "import os\n", + "import json\n", + "\n", + "os.environ['ECCODES_DEFINITION_PATH'] = '/home/maaw/test_polytope/gribjump-bundle/build/share/eccodes/definitions'\n", + "os.environ['DYLD_LIBRARY_PATH'] = '/home/maaw/test_polytope/gribjump-bundle/build/lib/'\n", + "os.environ['GRIBJUMP_HOME'] = '/home/maaw/test_polytope/gribjump-bundle/build'\n", + "os.environ['METKIT_RAW_PARAM']='1'\n", + "os.environ['GRIBJUMP_THREADS']='8'\n", + "os.environ['GRIBJUMP_DEBUG']='0'\n", + "os.environ[\"FDB_HOME\"]=\"/home/fdbprod\"\n", + "\n", + "from covjsonkit.api import Covjsonkit\n", + "from polytope_mars.api import PolytopeMars\n", + "from conflator import Conflator\n", + "from polytope_mars.config import PolytopeMarsConfig \n", + "\n", + "import earthkit.data\n", + "import earthkit.plots" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Load options needed to pull operational data" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "options = {\n", + " \"axis_config\": [\n", + " {\n", + " \"axis_name\": \"date\",\n", + " \"transformations\": [{\"name\": \"merge\", \"other_axis\": \"time\", \"linkers\": [\"T\", \"00\"]}],\n", + " },\n", + " {\n", + " \"axis_name\": \"values\",\n", + " \"transformations\": [\n", + " {\n", + " \"name\": \"mapper\",\n", + " \"type\": \"octahedral\",\n", + " \"resolution\": 1280,\n", + " \"axes\": [\"latitude\", \"longitude\"],\n", + " }\n", + " ],\n", + " },\n", + " {\"axis_name\": \"latitude\", \"transformations\": [{\"name\": \"reverse\", \"is_reverse\": True}]},\n", + " {\"axis_name\": \"longitude\", \"transformations\": [{\"name\": \"cyclic\", \"range\": [0, 360]}]},\n", + " {\"axis_name\": \"step\", \"transformations\": [{\"name\": \"type_change\", \"type\": \"int\"}]},\n", + " {\"axis_name\": \"number\", \"transformations\": [{\"name\": \"type_change\", \"type\": \"int\"}]},\n", + " ],\n", + " \"compressed_axes_config\": [\n", + " \"longitude\",\n", + " \"latitude\",\n", + " \"levtype\",\n", + " \"step\",\n", + " \"date\",\n", + " \"domain\",\n", + " \"expver\",\n", + " \"param\",\n", + " \"class\",\n", + " \"stream\",\n", + " \"type\",\n", + " ],\n", + " \"pre_path\": {\"class\": \"od\", \"expver\": \"0001\", \"levtype\": \"sfc\", \"stream\": \"oper\", \"type\": \"fc\"},\n", + " }" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Make polytope-mars request for three parameters at a given point" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Gribjump: Union request is retrieve,class=od,date=20240912,time=1200,domain=g,expver=0001,levtype=sfc,param=167/169,step=0,stream=oper,type=fc\n", + "Gribjump Engine: Flattened requests and constructed union request: 0.005033 second elapsed, 0.004967 second cpu\n", + "Gribjump Engine: Called fdb.list and constructed file map: 0.096671 second elapsed, 0.075701 second cpu\n", + "Gribjump Engine: Enqueued 2 file tasks: 3.5e-05 second elapsed, 3.9e-05 second cpu\n", + "Gribjump Progress: 1 of 2 tasks complete\n", + "Gribjump Progress: 2 of 2 tasks complete\n", + "Gribjump Engine: All tasks finished: 0.043348 second elapsed, 0.073246 second cpu\n", + "Gribjump Engine: Repackaged results: 2.9e-05 second elapsed, 2.8e-05 second cpu\n", + "{'2024-09-12T12:00:00Z': {0: {'167': {0: [290.6507110595703, 290.1682891845703, 290.7874298095703, 291.2249298095703, 291.5823516845703, 293.9261016845703, 300.4378204345703, 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\"g\",\n", + " \"param\" : \"167/169\",\n", + " \"step\" : \"0\",\n", + " \"feature\" : {\n", + " \"type\" : \"boundingbox\",\n", + " \"points\": [[38, -9.5], [39, -8.5]],\n", + " },\n", + "}\n", + "\n", + "result = PolytopeMars().extract(request)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Show resulting covjson" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'type': 'CoverageCollection',\n", + " 'domainType': 'MultiPoint',\n", + " 'coverages': [{'mars:metadata': {'class': 'od',\n", + " 'Forecast date': '2024-09-12T12:00:00Z',\n", + " 'domain': 'g',\n", + " 'expver': '0001',\n", + " 'levtype': 'sfc',\n", + " 'step': 0,\n", + " 'stream': 'oper',\n", + " 'type': 'fc',\n", + " 'number': 0},\n", + " 'type': 'Coverage',\n", + " 'domain': {'type': 'Domain',\n", + " 'axes': {'t': {'values': ['2024-09-12T12:00:00Z']},\n", + " 'composite': {'dataType': 'tuple',\n", + " 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351.012311901505, 0],\n", + " [38.910368186756, 351.135430916553, 0],\n", + " [38.910368186756, 351.258549931601, 0],\n", + " [38.910368186756, 351.381668946648, 0],\n", + " [38.980666954312, 350.506849315068, 0],\n", + " [38.980666954312, 350.630136986301, 0],\n", + " [38.980666954312, 350.753424657534, 0],\n", + " [38.980666954312, 350.876712328767, 0],\n", + " [38.980666954312, 351.0, 0],\n", + " [38.980666954312, 351.123287671233, 0],\n", + " [38.980666954312, 351.246575342466, 0],\n", + " [38.980666954312, 351.369863013699, 0],\n", + " [38.980666954312, 351.493150684931, 0]]}}},\n", + " 'ranges': {'2t': {'type': 'NdArray',\n", + " 'dataType': 'float',\n", + " 'shape': [116],\n", + " 'axisNames': ['2t'],\n", + " 'values': [290.6507110595703,\n", + " 290.1682891845703,\n", + " 290.7874298095703,\n", + " 291.2249298095703,\n", + " 291.5823516845703,\n", + " 293.9261016845703,\n", + " 300.4378204345703,\n", + " 301.6409454345703,\n", + " 290.5022735595703,\n", + " 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292.8831329345703,\n", + " 296.5530548095703,\n", + " 298.6370391845703,\n", + " 296.6389923095703,\n", + " 297.5589141845703,\n", + " 301.3206329345703,\n", + " 301.4182891845703,\n", + " 301.1370391845703,\n", + " 290.1507110595703,\n", + " 295.1526641845703,\n", + " 297.5706329345703,\n", + " 298.4729766845703,\n", + " 297.5803985595703,\n", + " 301.4358673095703,\n", + " 301.4573516845703,\n", + " 301.2678985595703,\n", + " 289.8050079345703,\n", + " 294.1175079345703,\n", + " 296.5979766845703,\n", + " 297.9261016845703,\n", + " 299.9026641845703,\n", + " 301.6507110595703,\n", + " 301.7698516845703,\n", + " 301.5706329345703,\n", + " 289.8460235595703,\n", + " 293.9593048095703,\n", + " 296.1800079345703,\n", + " 297.6038360595703,\n", + " 299.4046173095703,\n", + " 301.4534454345703,\n", + " 301.9905548095703,\n", + " 301.8655548095703,\n", + " 301.9065704345703]},\n", + " 'ssrd': {'type': 'NdArray',\n", + " 'dataType': 'float',\n", + " 'shape': [116],\n", + " 'axisNames': ['ssrd'],\n", + " 'values': [0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0]}}}],\n", + " 'referencing': [{'coordinates': ['x', 'y', 'z'],\n", + " 'system': {'type': 'GeographicCRS',\n", + " 'id': 'http://www.opengis.net/def/crs/OGC/1.3/CRS84'}}],\n", + " 'parameters': {'2t': {'type': 'Parameter',\n", + " 'description': {'en': \"This parameter is the temperature of air at 2m above the surface of land, sea or in-land waters.

2m temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions. See further information .

This parameter has units of kelvin (K). Temperature measured in kelvin can be converted to degrees Celsius (°C) by subtracting 273.15.

Please note that the encodings listed here for s2s & uerra (which includes encodings for carra/cerra) include entries for Mean 2 metre temperature. The specific encoding for Mean 2 metre temperature can be found in 228004.\"},\n", + " 'unit': {'symbol': 'K'},\n", + " 'observedProperty': {'id': '2t', 'label': {'en': '2 metre temperature'}}},\n", + " 'ssrd': {'type': 'Parameter',\n", + " 'description': {'en': \"This parameter is the amount of solar radiation (also known as shortwave radiation) that reaches a horizontal plane at the surface of the Earth. This parameter comprises both direct and diffuse solar radiation.

Radiation from the Sun (solar, or shortwave, radiation) is partly reflected back to space by clouds and particles in the atmosphere (aerosols) and some of it is absorbed. The rest is incident on the Earth's surface (represented by this parameter). See further documentation.

To a reasonably good approximation, this parameter is the model equivalent of what would be measured by a pyranometer (an instrument used for measuring solar radiation) at the surface. However, care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box.

This parameter is accumulated over a particular time period which depends on the data extracted. The units are joules per square metre (J m-2). To convert to watts per square metre (W m-2), the accumulated values should be divided by the accumulation period expressed in seconds. The ECMWF convention for vertical fluxes is positive downwards.\"},\n", + " 'unit': {'symbol': 'J m**-2'},\n", + " 'observedProperty': {'id': 'ssrd',\n", + " 'label': {'en': 'Surface short-wave (solar) radiation downwards'}}}}}" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "result" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Convert and display as xarray" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
<xarray.Dataset> Size: 6kB\n",
+       "Dimensions:    (datetimes: 1, number: 1, steps: 1, points: 116)\n",
+       "Coordinates:\n",
+       "  * datetimes  (datetimes) <U20 80B '2024-09-12T12:00:00Z'\n",
+       "  * number     (number) int64 8B 0\n",
+       "  * steps      (steps) int64 8B 0\n",
+       "  * points     (points) int64 928B 0 1 2 3 4 5 6 ... 109 110 111 112 113 114 115\n",
+       "    x          (points) float64 928B 38.07 38.07 38.07 ... 38.98 38.98 38.98\n",
+       "    y          (points) float64 928B 350.6 350.7 350.8 ... 351.2 351.4 351.5\n",
+       "    z          (points) float64 928B 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0\n",
+       "Data variables:\n",
+       "    2t         (datetimes, number, steps, points) float64 928B 290.7 ... 301.9\n",
+       "    ssrd       (datetimes, number, steps, points) float64 928B 0.0 0.0 ... 0.0\n",
+       "Attributes:\n",
+       "    class:          od\n",
+       "    Forecast date:  2024-09-12T12:00:00Z\n",
+       "    domain:         g\n",
+       "    expver:         0001\n",
+       "    levtype:        sfc\n",
+       "    step:           0\n",
+       "    stream:         oper\n",
+       "    type:           fc\n",
+       "    number:         0\n",
+       "    date:           2024-09-12T12:00:00Z
" + ], + "text/plain": [ + " Size: 6kB\n", + "Dimensions: (datetimes: 1, number: 1, steps: 1, points: 116)\n", + "Coordinates:\n", + " * datetimes (datetimes) " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "chart = earthkit.plots.Map(domain=\"Portugal\")\n", + "chart.point_cloud(ds['2t'].isel(number=0), x=\"y\", y=\"x\")\n", + "\n", + "chart.coastlines()\n", + "chart.borders()\n", + "chart.gridlines()\n", + "\n", + "chart.title(\"{variable_name} (number={number})\")\n", + "\n", + "chart.legend()\n", + "\n", + "chart.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Change options to pull ensemble data" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "options = {\n", + " \"axis_config\": [\n", + " {\n", + " \"axis_name\": \"date\",\n", + " \"transformations\": [{\"name\": \"merge\", \"other_axis\": \"time\", \"linkers\": [\"T\", \"00\"]}],\n", + " },\n", + " {\n", + " \"axis_name\": \"values\",\n", + " \"transformations\": [\n", + " {\n", + " \"name\": \"mapper\",\n", + " \"type\": \"octahedral\",\n", + " \"resolution\": 1280,\n", + " \"axes\": [\"latitude\", \"longitude\"],\n", + " }\n", + " ],\n", + " },\n", + " {\"axis_name\": \"latitude\", \"transformations\": [{\"name\": \"reverse\", \"is_reverse\": True}]},\n", + " {\"axis_name\": \"longitude\", \"transformations\": [{\"name\": \"cyclic\", \"range\": [0, 360]}]},\n", + " {\"axis_name\": \"step\", \"transformations\": [{\"name\": \"type_change\", \"type\": \"int\"}]},\n", + " {\"axis_name\": \"number\", \"transformations\": [{\"name\": \"type_change\", \"type\": \"int\"}]},\n", + " ],\n", + " \"compressed_axes_config\": [\n", + " \"longitude\",\n", + " \"latitude\",\n", + " \"levtype\",\n", + " \"step\",\n", + " \"date\",\n", + " \"domain\",\n", + " \"expver\",\n", + " \"param\",\n", + " \"class\",\n", + " \"stream\",\n", + " \"type\",\n", + " \"number\",\n", + " ],\n", + " \"pre_path\": {\"class\": \"od\", \"expver\": \"0001\", \"levtype\": \"sfc\", \"stream\": \"enfo\", \"type\": \"pf\"},\n", + " }" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Replace default options in config with emsemble options" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'datacube': {'type': 'gribjump',\n", + " 'config': 'config.yaml',\n", + " 'uri': 'http://localhost:8001'},\n", + " 'options': {'axis_config': [{'axis_name': 'date',\n", + " 'transformations': [{'name': 'merge',\n", + " 'other_axis': 'time',\n", + " 'linkers': ['T', '00']}]},\n", + " {'axis_name': 'values',\n", + " 'transformations': [{'name': 'mapper',\n", + " 'type': 'octahedral',\n", + " 'resolution': 1280,\n", + " 'axes': ['latitude', 'longitude']}]},\n", + " {'axis_name': 'latitude',\n", + " 'transformations': [{'name': 'reverse', 'is_reverse': True}]},\n", + " {'axis_name': 'longitude',\n", + " 'transformations': [{'name': 'cyclic', 'range': [0, 360]}]},\n", + " {'axis_name': 'step',\n", + " 'transformations': [{'name': 'type_change', 'type': 'int'}]},\n", + " {'axis_name': 'number',\n", + " 'transformations': [{'name': 'type_change', 'type': 'int'}]}],\n", + " 'compressed_axes_config': ['longitude',\n", + " 'latitude',\n", + " 'levtype',\n", + " 'step',\n", + " 'date',\n", + " 'domain',\n", + " 'expver',\n", + " 'param',\n", + " 'class',\n", + " 'stream',\n", + " 'type',\n", + " 'number'],\n", + " 'pre_path': {'class': 'od',\n", + " 'expver': '0001',\n", + " 'levtype': 'sfc',\n", + " 'stream': 'enfo',\n", + " 'type': 'pf'}},\n", + " 'coverageconfig': {'param_db': 'ecmwf'}}" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "conf = Conflator(app_name=\"polytope_mars\", model=PolytopeMarsConfig).load()\n", + "cf = conf.model_dump()\n", + "cf['options'] = options\n", + "cf" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Request ensemble data" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Gribjump: Union request is retrieve,class=od,date=20240912,time=0000,domain=g,expver=0001,levtype=sfc,number=1/2/3/4/5/6/7/8/9/10,param=169/167,step=0/1/2/3/4/5/6/7/8/9/10/11/12/13/14/15/16/17/18/19/20/21/22/23/24/25/26/27/28/29/30/31/32/33/34/35/36/37/38/39/40/41/42/43/44/45/46/47/48/49/50,stream=enfo,type=pf\n", + "Gribjump Engine: Flattened requests and constructed union request: 2 seconds elapsed, 2 seconds cpu\n", + "Gribjump Engine: Called fdb.list and constructed file map: 0.665049 second elapsed, 0.621354 second cpu\n", + "Gribjump Engine: Enqueued 30 file tasks: 0.000165 second elapsed, 0.000558 second cpu\n", + "Gribjump Progress: 1 of 30 tasks complete\n", + "Gribjump Progress: 4 of 30 tasks complete\n", + "Gribjump Progress: 7 of 30 tasks complete\n", + "Gribjump Progress: 10 of 30 tasks complete\n", + "Gribjump Progress: 13 of 30 tasks complete\n", + "Gribjump Progress: 16 of 30 tasks complete\n", + "Gribjump Progress: 19 of 30 tasks complete\n", + "Gribjump Progress: 22 of 30 tasks complete\n", + "Gribjump Progress: 25 of 30 tasks complete\n", + "Gribjump Progress: 28 of 30 tasks complete\n", + "Gribjump Engine: All tasks finished: 0.244349 second elapsed, 0.514488 second cpu\n", + "Gribjump Engine: Repackaged results: 0.00932 second elapsed, 0.009348 second cpu\n" + ] + } + ], + "source": [ + "# time series test\n", + "request = {\n", + " \"class\": \"od\",\n", + " \"stream\" : \"enfo\",\n", + " \"type\" : \"pf\",\n", + " \"date\" : \"20240912\",\n", + " \"time\" : \"0000\",\n", + " \"levtype\" : \"sfc\",\n", + " \"expver\" : \"0001\", \n", + " \"domain\" : \"g\",\n", + " \"param\" : \"167/169\",\n", + " \"number\" : \"1/to/10\",\n", + " \"step\": \"0/to/50\",\n", + " \"feature\" : {\n", + " \"type\" : \"timeseries\",\n", + " \"points\": [[38, -9.5]],\n", + " \"axis\": \"step\",\n", + " },\n", + "}\n", + "\n", + "result = PolytopeMars(cf).extract(request)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Save output to covjson for use in earrthkit" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "with open('test_timeseries.covjson', 'w') as fp:\n", + " json.dump(result, fp)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Plot meteogram" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly" + }, + "data": [ + { + "fillcolor": "#b3c6ff", + "hoverinfo": "skip", + "line": { + "color": "#0040ff", + "width": 1.5 + }, + "lowerfence": [ + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 67072, + 611328, + 1740288, + 3628544, + 6020608, + 8787968, + 11690496, + 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "cbb7cdc74d5a4fde9ceee10758274731", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import ipywidgets as widgets\n", + "import earthkit.plots\n", + "import earthkit.data\n", + "\n", + "TIME_FREQUENCY = \"1H\"\n", + "\n", + "def f():\n", + " data = earthkit.data.from_source(\"file\", \"test_timeseries.covjson\")\n", + " chart = earthkit.plots.Chart()\n", + " chart.box(data, time_frequency=TIME_FREQUENCY)\n", + " chart.line(data, time_frequency=TIME_FREQUENCY, aggregation=\"mean\", line_color=\"purple\")\n", + " chart.show()\n", + "\n", + "out = widgets.interactive_output(f, {})\n", + "display(out)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "polytope_venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.8" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} From d76a2059aff149c89ccf92572d727ff13980fbfc Mon Sep 17 00:00:00 2001 From: awarde96 Date: Fri, 13 Sep 2024 12:28:38 +0000 Subject: [PATCH 4/5] Add vertical profile example --- examples/bounding_box_example.ipynb | 4416 +---------------------- examples/vertical_profile_example.ipynb | 841 +++++ 2 files changed, 842 insertions(+), 4415 deletions(-) create mode 100644 examples/vertical_profile_example.ipynb diff --git a/examples/bounding_box_example.ipynb b/examples/bounding_box_example.ipynb index b023755..631b706 100644 --- a/examples/bounding_box_example.ipynb +++ b/examples/bounding_box_example.ipynb @@ -101,7 +101,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Make polytope-mars request for three parameters at a given point" + "Make polytope-mars request for bounding box over Lisbon" ] }, { @@ -1141,4420 +1141,6 @@ "\n", "chart.show()" ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Change options to pull ensemble data" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [], - "source": [ - "options = {\n", - " \"axis_config\": [\n", - " {\n", - " \"axis_name\": \"date\",\n", - " \"transformations\": [{\"name\": \"merge\", \"other_axis\": \"time\", \"linkers\": [\"T\", \"00\"]}],\n", - " },\n", - " {\n", - " \"axis_name\": \"values\",\n", - " \"transformations\": [\n", - " {\n", - " \"name\": \"mapper\",\n", - " \"type\": \"octahedral\",\n", - " \"resolution\": 1280,\n", - " \"axes\": [\"latitude\", \"longitude\"],\n", - " }\n", - " ],\n", - " },\n", - " {\"axis_name\": \"latitude\", \"transformations\": [{\"name\": \"reverse\", \"is_reverse\": True}]},\n", - " {\"axis_name\": \"longitude\", \"transformations\": [{\"name\": \"cyclic\", \"range\": [0, 360]}]},\n", - " {\"axis_name\": \"step\", \"transformations\": [{\"name\": \"type_change\", \"type\": \"int\"}]},\n", - " {\"axis_name\": \"number\", \"transformations\": [{\"name\": \"type_change\", \"type\": \"int\"}]},\n", - " ],\n", - " \"compressed_axes_config\": [\n", - " \"longitude\",\n", - " \"latitude\",\n", - " \"levtype\",\n", - " \"step\",\n", - " \"date\",\n", - " \"domain\",\n", - " \"expver\",\n", - " \"param\",\n", - " \"class\",\n", - " \"stream\",\n", - " \"type\",\n", - " \"number\",\n", - " ],\n", - " \"pre_path\": {\"class\": \"od\", \"expver\": \"0001\", \"levtype\": \"sfc\", \"stream\": \"enfo\", \"type\": \"pf\"},\n", - " }" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Replace default options in config with emsemble options" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'datacube': {'type': 'gribjump',\n", - " 'config': 'config.yaml',\n", - " 'uri': 'http://localhost:8001'},\n", - " 'options': {'axis_config': [{'axis_name': 'date',\n", - " 'transformations': [{'name': 'merge',\n", - " 'other_axis': 'time',\n", - " 'linkers': ['T', '00']}]},\n", - " {'axis_name': 'values',\n", - " 'transformations': [{'name': 'mapper',\n", - " 'type': 'octahedral',\n", - " 'resolution': 1280,\n", - " 'axes': ['latitude', 'longitude']}]},\n", - " {'axis_name': 'latitude',\n", - " 'transformations': [{'name': 'reverse', 'is_reverse': True}]},\n", - " {'axis_name': 'longitude',\n", - " 'transformations': [{'name': 'cyclic', 'range': [0, 360]}]},\n", - " {'axis_name': 'step',\n", - " 'transformations': [{'name': 'type_change', 'type': 'int'}]},\n", - " {'axis_name': 'number',\n", - " 'transformations': [{'name': 'type_change', 'type': 'int'}]}],\n", - " 'compressed_axes_config': ['longitude',\n", - " 'latitude',\n", - " 'levtype',\n", - " 'step',\n", - " 'date',\n", - " 'domain',\n", - " 'expver',\n", - " 'param',\n", - " 'class',\n", - " 'stream',\n", - " 'type',\n", - " 'number'],\n", - " 'pre_path': {'class': 'od',\n", - " 'expver': '0001',\n", - " 'levtype': 'sfc',\n", - " 'stream': 'enfo',\n", - " 'type': 'pf'}},\n", - " 'coverageconfig': {'param_db': 'ecmwf'}}" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "conf = Conflator(app_name=\"polytope_mars\", model=PolytopeMarsConfig).load()\n", - "cf = conf.model_dump()\n", - "cf['options'] = options\n", - "cf" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Request ensemble data" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Gribjump: Union request is retrieve,class=od,date=20240912,time=0000,domain=g,expver=0001,levtype=sfc,number=1/2/3/4/5/6/7/8/9/10,param=169/167,step=0/1/2/3/4/5/6/7/8/9/10/11/12/13/14/15/16/17/18/19/20/21/22/23/24/25/26/27/28/29/30/31/32/33/34/35/36/37/38/39/40/41/42/43/44/45/46/47/48/49/50,stream=enfo,type=pf\n", - "Gribjump Engine: Flattened requests and constructed union request: 2 seconds elapsed, 2 seconds cpu\n", - "Gribjump Engine: Called fdb.list and constructed file map: 0.665049 second elapsed, 0.621354 second cpu\n", - "Gribjump Engine: Enqueued 30 file tasks: 0.000165 second elapsed, 0.000558 second cpu\n", - "Gribjump Progress: 1 of 30 tasks complete\n", - "Gribjump Progress: 4 of 30 tasks complete\n", - "Gribjump Progress: 7 of 30 tasks complete\n", - "Gribjump Progress: 10 of 30 tasks complete\n", - "Gribjump Progress: 13 of 30 tasks complete\n", - "Gribjump Progress: 16 of 30 tasks complete\n", - "Gribjump Progress: 19 of 30 tasks complete\n", - "Gribjump Progress: 22 of 30 tasks complete\n", - "Gribjump Progress: 25 of 30 tasks complete\n", - "Gribjump Progress: 28 of 30 tasks complete\n", - "Gribjump Engine: All tasks finished: 0.244349 second elapsed, 0.514488 second cpu\n", - "Gribjump Engine: Repackaged results: 0.00932 second elapsed, 0.009348 second cpu\n" - ] - } - ], - "source": [ - "# time series test\n", - "request = {\n", - " \"class\": \"od\",\n", - " \"stream\" : \"enfo\",\n", - " \"type\" : \"pf\",\n", - " \"date\" : \"20240912\",\n", - " \"time\" : \"0000\",\n", - " \"levtype\" : \"sfc\",\n", - " \"expver\" : \"0001\", \n", - " \"domain\" : \"g\",\n", - " \"param\" : \"167/169\",\n", - " \"number\" : \"1/to/10\",\n", - " \"step\": \"0/to/50\",\n", - " \"feature\" : {\n", - " \"type\" : \"timeseries\",\n", - " \"points\": [[38, -9.5]],\n", - " \"axis\": \"step\",\n", - " },\n", - "}\n", - "\n", - "result = PolytopeMars(cf).extract(request)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Save output to covjson for use in earrthkit" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [], - "source": [ - "with open('test_timeseries.covjson', 'w') as fp:\n", - " json.dump(result, fp)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Plot meteogram" - ] - }, - { - "cell_type": "code", - 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "cbb7cdc74d5a4fde9ceee10758274731", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Output()" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import ipywidgets as widgets\n", - "import earthkit.plots\n", - "import earthkit.data\n", - "\n", - "TIME_FREQUENCY = \"1H\"\n", - "\n", - "def f():\n", - " data = earthkit.data.from_source(\"file\", \"test_timeseries.covjson\")\n", - " chart = earthkit.plots.Chart()\n", - " chart.box(data, time_frequency=TIME_FREQUENCY)\n", - " chart.line(data, time_frequency=TIME_FREQUENCY, aggregation=\"mean\", line_color=\"purple\")\n", - " chart.show()\n", - "\n", - "out = widgets.interactive_output(f, {})\n", - "display(out)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { diff --git a/examples/vertical_profile_example.ipynb b/examples/vertical_profile_example.ipynb new file mode 100644 index 0000000..452a2c0 --- /dev/null +++ b/examples/vertical_profile_example.ipynb @@ -0,0 +1,841 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Vertical Profile request Example" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Import necessary libraries (Uncomment logging if you want to enable it)" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "#import logging\n", + "\n", + "#logger = logging.getLogger('')\n", + "#logger.setLevel(logging.DEBUG)\n", + "\n", + "import os\n", + "import json\n", + "\n", + "os.environ['ECCODES_DEFINITION_PATH'] = '/home/maaw/test_polytope/gribjump-bundle/build/share/eccodes/definitions'\n", + "os.environ['DYLD_LIBRARY_PATH'] = '/home/maaw/test_polytope/gribjump-bundle/build/lib/'\n", + "os.environ['GRIBJUMP_HOME'] = '/home/maaw/test_polytope/gribjump-bundle/build'\n", + "os.environ['METKIT_RAW_PARAM']='1'\n", + "os.environ['GRIBJUMP_THREADS']='8'\n", + "os.environ['GRIBJUMP_DEBUG']='0'\n", + "os.environ[\"FDB_HOME\"]=\"/home/fdbprod\"\n", + "\n", + "from covjsonkit.api import Covjsonkit\n", + "from polytope_mars.api import PolytopeMars\n", + "from conflator import Conflator\n", + "from polytope_mars.config import PolytopeMarsConfig \n", + "\n", + "import earthkit.data\n", + "import earthkit.plots" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Load options needed to pull operational data" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "options = {\n", + " \"axis_config\": [\n", + " {\n", + " \"axis_name\": \"date\",\n", + " \"transformations\": [{\"name\": \"merge\", \"other_axis\": \"time\", \"linkers\": [\"T\", \"00\"]}],\n", + " },\n", + " {\n", + " \"axis_name\": \"values\",\n", + " \"transformations\": [\n", + " {\n", + " \"name\": \"mapper\",\n", + " \"type\": \"octahedral\",\n", + " \"resolution\": 1280,\n", + " \"axes\": [\"latitude\", \"longitude\"],\n", + " }\n", + " ],\n", + " },\n", + " {\"axis_name\": \"latitude\", \"transformations\": [{\"name\": \"reverse\", \"is_reverse\": True}]},\n", + " {\"axis_name\": \"longitude\", \"transformations\": [{\"name\": \"cyclic\", \"range\": [0, 360]}]},\n", + " {\"axis_name\": \"step\", \"transformations\": [{\"name\": \"type_change\", \"type\": \"int\"}]},\n", + " {\"axis_name\": \"number\", \"transformations\": [{\"name\": \"type_change\", \"type\": \"int\"}]},\n", + " {\"axis_name\": \"levelist\", \"transformations\": [{\"name\": \"type_change\", \"type\": \"int\"}]},\n", + " ],\n", + " \"compressed_axes_config\": [\n", + " \"longitude\",\n", + " \"latitude\",\n", + " \"levtype\",\n", + " \"levelist\",\n", + " \"step\",\n", + " \"date\",\n", + " \"domain\",\n", + " \"expver\",\n", + " \"param\",\n", + " \"class\",\n", + " \"stream\",\n", + " \"type\",\n", + " \"number\",\n", + " ],\n", + " \"pre_path\": {\"class\": \"od\", \"expver\": \"0001\", \"levtype\": \"pl\", \"stream\": \"enfo\", \"type\": \"pf\"},\n", + " }" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'datacube': {'type': 'gribjump',\n", + " 'config': 'config.yaml',\n", + " 'uri': 'http://localhost:8001'},\n", + " 'options': {'axis_config': [{'axis_name': 'date',\n", + " 'transformations': [{'name': 'merge',\n", + " 'other_axis': 'time',\n", + " 'linkers': ['T', '00']}]},\n", + " {'axis_name': 'values',\n", + " 'transformations': [{'name': 'mapper',\n", + " 'type': 'octahedral',\n", + " 'resolution': 1280,\n", + " 'axes': ['latitude', 'longitude']}]},\n", + " {'axis_name': 'latitude',\n", + " 'transformations': [{'name': 'reverse', 'is_reverse': True}]},\n", + " {'axis_name': 'longitude',\n", + " 'transformations': [{'name': 'cyclic', 'range': [0, 360]}]},\n", + " {'axis_name': 'step',\n", + " 'transformations': [{'name': 'type_change', 'type': 'int'}]},\n", + " {'axis_name': 'number',\n", + " 'transformations': [{'name': 'type_change', 'type': 'int'}]},\n", + " {'axis_name': 'levelist',\n", + " 'transformations': [{'name': 'type_change', 'type': 'int'}]}],\n", + " 'compressed_axes_config': ['longitude',\n", + " 'latitude',\n", + " 'levtype',\n", + " 'levelist',\n", + " 'step',\n", + " 'date',\n", + " 'domain',\n", + " 'expver',\n", + " 'param',\n", + " 'class',\n", + " 'stream',\n", + " 'type',\n", + " 'number'],\n", + " 'pre_path': {'class': 'od',\n", + " 'expver': '0001',\n", + " 'levtype': 'pl',\n", + " 'stream': 'enfo',\n", + " 'type': 'pf'}},\n", + " 'coverageconfig': {'param_db': 'ecmwf'}}" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "conf = Conflator(app_name=\"polytope_mars\", model=PolytopeMarsConfig).load()\n", + "cf = conf.model_dump()\n", + "cf['options'] = options\n", + "cf" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Make polytope-mars request for three parameters at a given point" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Gribjump: Union request is retrieve,class=od,date=20240912,time=0000,domain=g,expver=0001,levelist=1/2/3/5/7/10/20/30/50/70/100/150/200/250/300/400/500/600/700/850/925/1000,levtype=pl,number=1,param=133/203,step=0,stream=enfo,type=pf\n", + "Gribjump Engine: Flattened requests and constructed union request: 0.112762 second elapsed, 0.111384 second cpu\n", + "Gribjump Engine: Called fdb.list and constructed file map: 0.645071 second elapsed, 0.600768 second cpu\n", + "Starting 8 threads\n", + "Gribjump Engine: Enqueued 24 file tasks: 0.000951 second elapsed, 0.001513 second cpu\n", + "Gribjump Progress: 1 of 24 tasks complete\n", + "Gribjump Progress: 3 of 24 tasks complete\n", + "Gribjump Progress: 5 of 24 tasks complete\n", + "Gribjump Progress: 7 of 24 tasks complete\n", + "Gribjump Progress: 9 of 24 tasks complete\n", + "Gribjump Progress: 11 of 24 tasks complete\n", + "Gribjump Progress: 13 of 24 tasks complete\n", + "Gribjump Progress: 15 of 24 tasks complete\n", + "Gribjump Progress: 17 of 24 tasks complete\n", + "Gribjump Progress: 19 of 24 tasks complete\n", + "Gribjump Progress: 21 of 24 tasks complete\n", + "Gribjump Progress: 23 of 24 tasks complete\n", + "Gribjump Engine: All tasks finished: 2 seconds elapsed, 2 seconds cpu\n", + "Gribjump Engine: Repackaged results: 0.000309 second elapsed, 0.000541 second cpu\n" + ] + } + ], + "source": [ + "# Vertical Profile test\n", + "request = {\n", + " \"class\": \"od\",\n", + " \"stream\" : \"enfo\",\n", + " \"type\" : \"pf\",\n", + " \"date\" : \"20240912\",\n", + " \"time\" : \"0000\",\n", + " \"levtype\" : \"pl\",\n", + " \"expver\" : \"0001\", \n", + " \"domain\" : \"g\",\n", + " \"param\" : \"203/133\",\n", + " \"number\" : \"1\",\n", + " \"step\" : \"0\",\n", + " \"levelist\" : \"1/to/1000\",\n", + " \"feature\" : {\n", + " \"type\" : \"verticalprofile\",\n", + " \"points\": [[38.9, -9.1]],\n", + " },\n", + "}\n", + "\n", + "result = PolytopeMars(cf).extract(request)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Show resulting covjson" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'type': 'CoverageCollection',\n", + " 'domainType': 'VerticalProfile',\n", + " 'coverages': [{'mars:metadata': {'class': 'od',\n", + " 'domain': 'g',\n", + " 'expver': '0001',\n", + " 'levtype': 'pl',\n", + " 'number': 1,\n", + " 'stream': 'enfo',\n", + " 'type': 'pf'},\n", + " 'type': 'Coverage',\n", + " 'domain': {'type': 'Domain',\n", + " 'axes': {'x': {'values': [38.910368186756]},\n", + " 'y': {'values': [350.889192886457]},\n", + " 'z': {'values': [1,\n", + " 2,\n", + " 3,\n", + " 5,\n", + " 7,\n", + " 10,\n", + " 20,\n", + " 30,\n", + " 50,\n", + " 70,\n", + " 100,\n", + " 150,\n", + " 200,\n", + " 250,\n", + " 300,\n", + " 400,\n", + " 500,\n", + " 600,\n", + " 700,\n", + " 850,\n", + " 925,\n", + " 1000]},\n", + " 't': {'values': '2024-09-12T00:00:00Z'}}},\n", + " 'ranges': {'q': {'type': 'NdArray',\n", + " 'dataType': 'float',\n", + " 'shape': [22],\n", + " 'axisNames': ['z'],\n", + " 'values': [4.175273716100492e-06,\n", + " 4.023657311336137e-06,\n", + " 3.7757927202619612e-06,\n", + " 3.603059667511843e-06,\n", + " 3.524724888848141e-06,\n", + " 3.367667886777781e-06,\n", + " 3.067761099373456e-06,\n", + " 2.9915263439761475e-06,\n", + " 2.75403363048099e-06,\n", + " 2.748569386312738e-06,\n", + " 3.320397240713646e-06,\n", + " 7.552094757556915e-06,\n", + " 4.3511390686035156e-05,\n", + " 0.00011123716831207275,\n", + " 0.0003674626350402832,\n", + " 0.0007114410400390625,\n", + " 0.0019512176513671875,\n", + " 0.004366636276245117,\n", + " 0.0024726390838623047,\n", + " 0.002265453338623047,\n", + " 0.006226539611816406,\n", + " 0.009507179260253906]},\n", + " 'o3': {'type': 'NdArray',\n", + " 'dataType': 'float',\n", + " 'shape': [22],\n", + " 'axisNames': ['z'],\n", + " 'values': [4.905276000499725e-06,\n", + " 8.261586117441766e-06,\n", + " 1.0976569683407433e-05,\n", + " 1.3205773939262144e-05,\n", + " 1.3443846000882331e-05,\n", + " 1.3591182323580142e-05,\n", + " 1.0988849680870771e-05,\n", + " 6.91430159349693e-06,\n", + " 2.9232442102511413e-06,\n", + " 1.8784372173286101e-06,\n", + " 9.298091754317284e-07,\n", + " 3.5908306017518044e-07,\n", + " 8.60018189996481e-08,\n", + " 8.128699846565723e-08,\n", + " 8.403731044381857e-08,\n", + " 8.79299477674067e-08,\n", + " 1.0275737949427821e-07,\n", + " 8.096699843918032e-08,\n", + " 8.918102167854158e-08,\n", + " 8.32304856146493e-08,\n", + " 7.903403087539118e-08,\n", + " 6.26577083551183e-08]}}}],\n", + " 'referencing': [{'coordinates': ['x', 'y', 'z'],\n", + " 'system': {'type': 'GeographicCRS',\n", + " 'id': 'http://www.opengis.net/def/crs/OGC/1.3/CRS84'}}],\n", + " 'parameters': {'q': {'type': 'Parameter',\n", + " 'description': {'en': 'This parameter is the mass of water vapour per kilogram of moist air.

The total mass of moist air is the sum of the dry air, water vapour, cloud liquid, cloud ice, rain and falling snow.'},\n", + " 'unit': {'symbol': 'kg kg**-1'},\n", + " 'observedProperty': {'id': 'q', 'label': {'en': 'Specific humidity'}}},\n", + " 'o3': {'type': 'Parameter',\n", + " 'description': {'en': \"This parameter is the mass of ozone per kilogram of air.

In the ECMWF Integrated Forecasting System (IFS), there is a simplified representation of ozone chemistry (including representation of the chemistry which has caused the ozone hole). Ozone is also transported around in the atmosphere through the motion of air. See further documentation.

Naturally occurring ozone in the stratosphere helps protect organisms at the surface of the Earth from the harmful effects of ultraviolet (UV) radiation from the Sun. Ozone near the surface, often produced because of pollution, is harmful to organisms.

Most of the IFS chemical species are archived as mass mixing ratios [kg kg-1]. This link explains how to convert to concentration in terms of mass per unit volume.\"},\n", + " 'unit': {'symbol': 'kg kg**-1'},\n", + " 'observedProperty': {'id': 'o3',\n", + " 'label': {'en': 'Ozone mass mixing ratio'}}}}}" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "result" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Convert and display as xarray" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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'/home/maaw/test_polytope/gribjump-bundle/build'\n", - "os.environ['METKIT_RAW_PARAM']='1'\n", - "os.environ['GRIBJUMP_THREADS']='8'\n", - "os.environ['GRIBJUMP_DEBUG']='0'\n", - "os.environ[\"FDB_HOME\"]=\"/home/fdbprod\"\n", "\n", "from covjsonkit.api import Covjsonkit\n", "from polytope_mars.api import PolytopeMars\n", @@ -106,22 +99,23 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Gribjump: Union request is retrieve,class=od,date=20240912,time=1200,domain=g,expver=0001,levtype=sfc,param=167/169,step=0,stream=oper,type=fc\n", - "Gribjump Engine: Flattened requests and constructed union request: 0.005033 second elapsed, 0.004967 second cpu\n", - "Gribjump Engine: Called fdb.list and constructed file map: 0.096671 second elapsed, 0.075701 second cpu\n", - "Gribjump Engine: Enqueued 2 file tasks: 3.5e-05 second elapsed, 3.9e-05 second cpu\n", + "Gribjump: Union request 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291.4280548095703, 291.6604766845703, 293.6741485595703, 300.1428985595703, 301.5413360595703, 290.2014923095703, 289.8401641845703, 291.0120391845703, 292.1116485595703, 292.2561798095703, 293.6721954345703, 300.2346954345703, 301.9300079345703, 301.5706329345703, 289.9065704345703, 289.6624298095703, 291.4749298095703, 293.0257110595703, 293.1487579345703, 293.9417266845703, 300.5491485595703, 302.5686798095703, 302.4749298095703, 289.6819610595703, 289.6389923095703, 292.1096954345703, 293.9339141845703, 294.1956329345703, 294.4807891845703, 300.0940704345703, 302.4944610595703, 302.5843048095703, 289.9026641845703, 292.9104766845703, 294.7874298095703, 295.3225860595703, 295.3421173095703, 297.0725860595703, 302.0764923095703, 302.0042266845703, 290.5120391845703, 293.7952423095703, 300.3245391845703, 300.1468048095703, 295.9573516845703, 297.0882110595703, 301.7874298095703, 301.9202423095703, 291.3303985595703, 294.6409454345703, 300.8030548095703, 300.4651641845703, 299.9807891845703, 301.1741485595703, 301.8753204345703, 301.6819610595703, 291.9573516845703, 295.2757110595703, 300.6624298095703, 300.1214141845703, 300.2483673095703, 301.5491485595703, 302.0237579345703, 301.4475860595703, 291.8636016845703, 297.7600860595703, 299.9983673095703, 297.0198516845703, 300.1155548095703, 301.4983673095703, 301.7718048095703, 301.2112579345703, 292.8831329345703, 296.5530548095703, 298.6370391845703, 296.6389923095703, 297.5589141845703, 301.3206329345703, 301.4182891845703, 301.1370391845703, 290.1507110595703, 295.1526641845703, 297.5706329345703, 298.4729766845703, 297.5803985595703, 301.4358673095703, 301.4573516845703, 301.2678985595703, 289.8050079345703, 294.1175079345703, 296.5979766845703, 297.9261016845703, 299.9026641845703, 301.6507110595703, 301.7698516845703, 301.5706329345703, 289.8460235595703, 293.9593048095703, 296.1800079345703, 297.6038360595703, 299.4046173095703, 301.4534454345703, 301.9905548095703, 301.8655548095703, 301.9065704345703]}, '169': {0: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]}}}}\n" + "Gribjump Engine: All tasks finished: 0.149254 second elapsed, 0.160928 second cpu\n", + "Gribjump Engine: Repackaged results: 2.3e-05 second elapsed, 2.2e-05 second cpu\n", + "{'2024-09-15T12:00:00Z': {0: {'169': {0: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]}, '167': {0: [291.8814392089844, 291.9185485839844, 292.5259704589844, 291.7330017089844, 290.0415954589844, 292.9634704589844, 301.9126892089844, 304.2466735839844, 291.9322204589844, 291.9009704589844, 292.7701110839844, 291.9712829589844, 289.8169860839844, 292.5220642089844, 301.9712829589844, 304.6353454589844, 291.8326110839844, 291.4048767089844, 292.2935485839844, 292.2603454589844, 290.5181579589844, 292.8326110839844, 302.6568298339844, 305.2974548339844, 304.9126892089844, 291.4927673339844, 290.2134704589844, 291.8208923339844, 292.8560485839844, 292.0513610839844, 293.4087829589844, 303.4771423339844, 306.3287048339844, 305.3267517089844, 290.9771423339844, 289.1021423339844, 291.0122985839844, 293.6060485839844, 293.1509704589844, 293.8619079589844, 302.7154235839844, 306.0845642089844, 305.1314392089844, 289.0513610839844, 291.7056579589844, 295.0923767089844, 297.6880798339844, 297.6353454589844, 299.0630798339844, 305.0474548339844, 304.4634704589844, 290.4048767089844, 293.3716735839844, 302.4380798339844, 303.2720642089844, 300.9244079589844, 301.7408142089844, 304.5201110839844, 304.6372985839844, 292.4810485839844, 294.7212829589844, 304.5572204589844, 305.5259704589844, 304.2251892089844, 304.2369079589844, 305.1099548339844, 305.1099548339844, 294.2056579589844, 299.0181579589844, 305.0982360839844, 304.7564392089844, 304.7622985839844, 305.6392517089844, 306.0474548339844, 305.3033142089844, 294.7994079589844, 304.4595642089844, 304.7935485839844, 298.1841735839844, 303.8462829589844, 305.5904235839844, 305.8931579589844, 304.9908142089844, 297.8072204589844, 304.2427673339844, 304.5142517089844, 298.8345642089844, 300.5415954589844, 304.9986267089844, 305.1744079589844, 304.6509704589844, 292.3560485839844, 302.4205017089844, 304.5142517089844, 303.1783142089844, 301.9732360839844, 305.2017517089844, 305.0474548339844, 304.7935485839844, 290.8619079589844, 300.2330017089844, 304.0845642089844, 303.9849548339844, 304.7583923339844, 305.7662048339844, 305.3345642089844, 305.2681579589844, 290.2681579589844, 298.6861267089844, 303.3326110839844, 303.9341735839844, 304.7466735839844, 305.7779235839844, 305.4654235839844, 305.4517517089844, 305.8658142089844]}}}}\n" ] } ], @@ -131,7 +125,7 @@ " \"class\": \"od\",\n", " \"stream\" : \"oper\",\n", " \"type\" : \"fc\",\n", - " \"date\" : \"20240912\",\n", + " \"date\" : \"20240915\",\n", " \"time\" : \"1200\",\n", " \"levtype\" : \"sfc\",\n", " \"expver\" : \"0001\", \n", @@ -156,7 +150,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -165,7 +159,7 @@ "{'type': 'CoverageCollection',\n", " 'domainType': 'MultiPoint',\n", " 'coverages': [{'mars:metadata': {'class': 'od',\n", - " 'Forecast date': '2024-09-12T12:00:00Z',\n", + " 'Forecast date': '2024-09-15T12:00:00Z',\n", " 'domain': 'g',\n", " 'expver': '0001',\n", " 'levtype': 'sfc',\n", @@ -175,7 +169,7 @@ " 'number': 0},\n", " 'type': 'Coverage',\n", " 'domain': {'type': 'Domain',\n", - " 'axes': {'t': {'values': ['2024-09-12T12:00:00Z']},\n", + " 'axes': {'t': {'values': ['2024-09-15T12:00:00Z']},\n", " 'composite': {'dataType': 'tuple',\n", " 'coordinates': ['x', 'y', 'z'],\n", " 'values': [[38.066782975752, 350.551816958277, 0],\n", @@ -294,127 +288,7 @@ " [38.980666954312, 351.246575342466, 0],\n", " [38.980666954312, 351.369863013699, 0],\n", " [38.980666954312, 351.493150684931, 0]]}}},\n", - " 'ranges': {'2t': {'type': 'NdArray',\n", - " 'dataType': 'float',\n", - " 'shape': [116],\n", - " 'axisNames': ['2t'],\n", - " 'values': [290.6507110595703,\n", - " 290.1682891845703,\n", - " 290.7874298095703,\n", - " 291.2249298095703,\n", - " 291.5823516845703,\n", - " 293.9261016845703,\n", - " 300.4378204345703,\n", - " 301.6409454345703,\n", - " 290.5022735595703,\n", - " 290.0335235595703,\n", - " 290.7757110595703,\n", - " 291.4280548095703,\n", - " 291.6604766845703,\n", - " 293.6741485595703,\n", - " 300.1428985595703,\n", - " 301.5413360595703,\n", - " 290.2014923095703,\n", - " 289.8401641845703,\n", - " 291.0120391845703,\n", - " 292.1116485595703,\n", - " 292.2561798095703,\n", - " 293.6721954345703,\n", - " 300.2346954345703,\n", - " 301.9300079345703,\n", - " 301.5706329345703,\n", - " 289.9065704345703,\n", - " 289.6624298095703,\n", - " 291.4749298095703,\n", - " 293.0257110595703,\n", - " 293.1487579345703,\n", - " 293.9417266845703,\n", - " 300.5491485595703,\n", - " 302.5686798095703,\n", - " 302.4749298095703,\n", - " 289.6819610595703,\n", - " 289.6389923095703,\n", - " 292.1096954345703,\n", - " 293.9339141845703,\n", - " 294.1956329345703,\n", - " 294.4807891845703,\n", - " 300.0940704345703,\n", - " 302.4944610595703,\n", - " 302.5843048095703,\n", - " 289.9026641845703,\n", - " 292.9104766845703,\n", - " 294.7874298095703,\n", - " 295.3225860595703,\n", - " 295.3421173095703,\n", - " 297.0725860595703,\n", - " 302.0764923095703,\n", - " 302.0042266845703,\n", - " 290.5120391845703,\n", - " 293.7952423095703,\n", - " 300.3245391845703,\n", - " 300.1468048095703,\n", - " 295.9573516845703,\n", - " 297.0882110595703,\n", - " 301.7874298095703,\n", - " 301.9202423095703,\n", - " 291.3303985595703,\n", - " 294.6409454345703,\n", - " 300.8030548095703,\n", - " 300.4651641845703,\n", - " 299.9807891845703,\n", - " 301.1741485595703,\n", - " 301.8753204345703,\n", - " 301.6819610595703,\n", - " 291.9573516845703,\n", - " 295.2757110595703,\n", - " 300.6624298095703,\n", - " 300.1214141845703,\n", - " 300.2483673095703,\n", - " 301.5491485595703,\n", - " 302.0237579345703,\n", - " 301.4475860595703,\n", - " 291.8636016845703,\n", - " 297.7600860595703,\n", - " 299.9983673095703,\n", - " 297.0198516845703,\n", - " 300.1155548095703,\n", - " 301.4983673095703,\n", - " 301.7718048095703,\n", - " 301.2112579345703,\n", - " 292.8831329345703,\n", - " 296.5530548095703,\n", - " 298.6370391845703,\n", - " 296.6389923095703,\n", - " 297.5589141845703,\n", - " 301.3206329345703,\n", - " 301.4182891845703,\n", - " 301.1370391845703,\n", - " 290.1507110595703,\n", - " 295.1526641845703,\n", - " 297.5706329345703,\n", - " 298.4729766845703,\n", - " 297.5803985595703,\n", - " 301.4358673095703,\n", - " 301.4573516845703,\n", - " 301.2678985595703,\n", - " 289.8050079345703,\n", - " 294.1175079345703,\n", - " 296.5979766845703,\n", - " 297.9261016845703,\n", - " 299.9026641845703,\n", - " 301.6507110595703,\n", - " 301.7698516845703,\n", - " 301.5706329345703,\n", - " 289.8460235595703,\n", - " 293.9593048095703,\n", - " 296.1800079345703,\n", - " 297.6038360595703,\n", - " 299.4046173095703,\n", - " 301.4534454345703,\n", - " 301.9905548095703,\n", - " 301.8655548095703,\n", - " 301.9065704345703]},\n", - " 'ssrd': {'type': 'NdArray',\n", + " 'ranges': {'ssrd': {'type': 'NdArray',\n", " 'dataType': 'float',\n", " 'shape': [116],\n", " 'axisNames': ['ssrd'],\n", @@ -533,22 +407,142 @@ " 0.0,\n", " 0.0,\n", " 0.0,\n", - " 0.0]}}}],\n", + " 0.0]},\n", + " '2t': {'type': 'NdArray',\n", + " 'dataType': 'float',\n", + " 'shape': [116],\n", + " 'axisNames': ['2t'],\n", + " 'values': [291.8814392089844,\n", + " 291.9185485839844,\n", + " 292.5259704589844,\n", + " 291.7330017089844,\n", + " 290.0415954589844,\n", + " 292.9634704589844,\n", + " 301.9126892089844,\n", + " 304.2466735839844,\n", + " 291.9322204589844,\n", + " 291.9009704589844,\n", + " 292.7701110839844,\n", + " 291.9712829589844,\n", + " 289.8169860839844,\n", + " 292.5220642089844,\n", + " 301.9712829589844,\n", + " 304.6353454589844,\n", + " 291.8326110839844,\n", + " 291.4048767089844,\n", + " 292.2935485839844,\n", + " 292.2603454589844,\n", + " 290.5181579589844,\n", + " 292.8326110839844,\n", + " 302.6568298339844,\n", + " 305.2974548339844,\n", + " 304.9126892089844,\n", + " 291.4927673339844,\n", + " 290.2134704589844,\n", + " 291.8208923339844,\n", + " 292.8560485839844,\n", + " 292.0513610839844,\n", + " 293.4087829589844,\n", + " 303.4771423339844,\n", + " 306.3287048339844,\n", + " 305.3267517089844,\n", + " 290.9771423339844,\n", + " 289.1021423339844,\n", + " 291.0122985839844,\n", + " 293.6060485839844,\n", + " 293.1509704589844,\n", + " 293.8619079589844,\n", + " 302.7154235839844,\n", + " 306.0845642089844,\n", + " 305.1314392089844,\n", + " 289.0513610839844,\n", + " 291.7056579589844,\n", + " 295.0923767089844,\n", + " 297.6880798339844,\n", + " 297.6353454589844,\n", + " 299.0630798339844,\n", + " 305.0474548339844,\n", + " 304.4634704589844,\n", + " 290.4048767089844,\n", + " 293.3716735839844,\n", + " 302.4380798339844,\n", + " 303.2720642089844,\n", + " 300.9244079589844,\n", + " 301.7408142089844,\n", + " 304.5201110839844,\n", + " 304.6372985839844,\n", + " 292.4810485839844,\n", + " 294.7212829589844,\n", + " 304.5572204589844,\n", + " 305.5259704589844,\n", + " 304.2251892089844,\n", + " 304.2369079589844,\n", + " 305.1099548339844,\n", + " 305.1099548339844,\n", + " 294.2056579589844,\n", + " 299.0181579589844,\n", + " 305.0982360839844,\n", + " 304.7564392089844,\n", + " 304.7622985839844,\n", + " 305.6392517089844,\n", + " 306.0474548339844,\n", + " 305.3033142089844,\n", + " 294.7994079589844,\n", + " 304.4595642089844,\n", + " 304.7935485839844,\n", + " 298.1841735839844,\n", + " 303.8462829589844,\n", + " 305.5904235839844,\n", + " 305.8931579589844,\n", + " 304.9908142089844,\n", + " 297.8072204589844,\n", + " 304.2427673339844,\n", + " 304.5142517089844,\n", + " 298.8345642089844,\n", + " 300.5415954589844,\n", + " 304.9986267089844,\n", + " 305.1744079589844,\n", + " 304.6509704589844,\n", + " 292.3560485839844,\n", + " 302.4205017089844,\n", + " 304.5142517089844,\n", + " 303.1783142089844,\n", + " 301.9732360839844,\n", + " 305.2017517089844,\n", + " 305.0474548339844,\n", + " 304.7935485839844,\n", + " 290.8619079589844,\n", + " 300.2330017089844,\n", + " 304.0845642089844,\n", + " 303.9849548339844,\n", + " 304.7583923339844,\n", + " 305.7662048339844,\n", + " 305.3345642089844,\n", + " 305.2681579589844,\n", + " 290.2681579589844,\n", + " 298.6861267089844,\n", + " 303.3326110839844,\n", + " 303.9341735839844,\n", + " 304.7466735839844,\n", + " 305.7779235839844,\n", + " 305.4654235839844,\n", + " 305.4517517089844,\n", + " 305.8658142089844]}}}],\n", " 'referencing': [{'coordinates': ['x', 'y', 'z'],\n", " 'system': {'type': 'GeographicCRS',\n", " 'id': 'http://www.opengis.net/def/crs/OGC/1.3/CRS84'}}],\n", - " 'parameters': {'2t': {'type': 'Parameter',\n", - " 'description': {'en': \"This parameter is the temperature of air at 2m above the surface of land, sea or in-land waters.

2m temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions. See further information .

This parameter has units of kelvin (K). Temperature measured in kelvin can be converted to degrees Celsius (°C) by subtracting 273.15.

Please note that the encodings listed here for s2s & uerra (which includes encodings for carra/cerra) include entries for Mean 2 metre temperature. The specific encoding for Mean 2 metre temperature can be found in 228004.\"},\n", - " 'unit': {'symbol': 'K'},\n", - " 'observedProperty': {'id': '2t', 'label': {'en': '2 metre temperature'}}},\n", - " 'ssrd': {'type': 'Parameter',\n", + " 'parameters': {'ssrd': {'type': 'Parameter',\n", " 'description': {'en': \"This parameter is the amount of solar radiation (also known as shortwave radiation) that reaches a horizontal plane at the surface of the Earth. This parameter comprises both direct and diffuse solar radiation.

Radiation from the Sun (solar, or shortwave, radiation) is partly reflected back to space by clouds and particles in the atmosphere (aerosols) and some of it is absorbed. The rest is incident on the Earth's surface (represented by this parameter). See further documentation.

To a reasonably good approximation, this parameter is the model equivalent of what would be measured by a pyranometer (an instrument used for measuring solar radiation) at the surface. However, care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box.

This parameter is accumulated over a particular time period which depends on the data extracted. The units are joules per square metre (J m-2). To convert to watts per square metre (W m-2), the accumulated values should be divided by the accumulation period expressed in seconds. The ECMWF convention for vertical fluxes is positive downwards.\"},\n", " 'unit': {'symbol': 'J m**-2'},\n", " 'observedProperty': {'id': 'ssrd',\n", - " 'label': {'en': 'Surface short-wave (solar) radiation downwards'}}}}}" + " 'label': {'en': 'Surface short-wave (solar) radiation downwards'}}},\n", + " '2t': {'type': 'Parameter',\n", + " 'description': {'en': \"This parameter is the temperature of air at 2m above the surface of land, sea or in-land waters.

2m temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions. See further information .

This parameter has units of kelvin (K). Temperature measured in kelvin can be converted to degrees Celsius (°C) by subtracting 273.15.

Please note that the encodings listed here for s2s & uerra (which includes encodings for carra/cerra) include entries for Mean 2 metre temperature. The specific encoding for Mean 2 metre temperature can be found in 228004.\"},\n", + " 'unit': {'symbol': 'K'},\n", + " 'observedProperty': {'id': '2t', 'label': {'en': '2 metre temperature'}}}}}" ] }, - "execution_count": 16, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } @@ -566,7 +560,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -938,7 +932,7 @@ "
<xarray.Dataset> Size: 6kB\n",
        "Dimensions:    (datetimes: 1, number: 1, steps: 1, points: 116)\n",
        "Coordinates:\n",
-       "  * datetimes  (datetimes) <U20 80B '2024-09-12T12:00:00Z'\n",
+       "  * datetimes  (datetimes) <U20 80B '2024-09-15T12:00:00Z'\n",
        "  * number     (number) int64 8B 0\n",
        "  * steps      (steps) int64 8B 0\n",
        "  * points     (points) int64 928B 0 1 2 3 4 5 6 ... 109 110 111 112 113 114 115\n",
@@ -946,11 +940,11 @@
        "    y          (points) float64 928B 350.6 350.7 350.8 ... 351.2 351.4 351.5\n",
        "    z          (points) float64 928B 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0\n",
        "Data variables:\n",
-       "    2t         (datetimes, number, steps, points) float64 928B 290.7 ... 301.9\n",
        "    ssrd       (datetimes, number, steps, points) float64 928B 0.0 0.0 ... 0.0\n",
+       "    2t         (datetimes, number, steps, points) float64 928B 291.9 ... 305.9\n",
        "Attributes:\n",
        "    class:          od\n",
-       "    Forecast date:  2024-09-12T12:00:00Z\n",
+       "    Forecast date:  2024-09-15T12:00:00Z\n",
        "    domain:         g\n",
        "    expver:         0001\n",
        "    levtype:        sfc\n",
@@ -958,7 +952,7 @@
        "    stream:         oper\n",
        "    type:           fc\n",
        "    number:         0\n",
-       "    date:           2024-09-12T12:00:00Z
  • class :
    od
    Forecast date :
    2024-09-15T12:00:00Z
    domain :
    g
    expver :
    0001
    levtype :
    sfc
    step :
    0
    stream :
    oper
    type :
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    number :
    0
    date :
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    • " ], "text/plain": [ " Size: 6kB\n", "Dimensions: (datetimes: 1, number: 1, steps: 1, points: 116)\n", "Coordinates:\n", - " * datetimes (datetimes)
    2m temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions. See further information .

    This parameter has units of kelvin (K). Temperature measured in kelvin can be converted to degrees Celsius (°C) by subtracting 273.15.

    Please note that the encodings listed here for s2s & uerra (which includes encodings for carra/cerra) include entries for Mean 2 metre temperature. The specific encoding for Mean 2 metre temperature can be found in 228004.\"},\n", - " 'unit': {'symbol': 'K'},\n", - " 'observedProperty': {'id': '2t', 'label': {'en': '2 metre temperature'}}},\n", " '2d': {'type': 'Parameter',\n", " 'description': {'en': \"This parameter is the temperature to which the air, at 2 metres above the surface of the Earth, would have to be cooled for saturation to occur.

    It is a measure of the humidity of the air. Combined with temperature and pressure, it can be used to calculate the relative humidity.

    2m dew point temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions. See further information.This parameter has units of kelvin (K). Temperature measured in kelvin can be converted to degrees Celsius (°C) by subtracting 273.15.\"},\n", " 'unit': {'symbol': 'K'},\n", " 'observedProperty': {'id': '2d',\n", - " 'label': {'en': '2 metre dewpoint temperature'}}}}}" + " 'label': {'en': '2 metre dewpoint temperature'}}},\n", + " '2t': {'type': 'Parameter',\n", + " 'description': {'en': \"This parameter is the temperature of air at 2m above the surface of land, sea or in-land waters.

    2m temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions. See further information .

    This parameter has units of kelvin (K). Temperature measured in kelvin can be converted to degrees Celsius (°C) by subtracting 273.15.

    Please note that the encodings listed here for s2s & uerra (which includes encodings for carra/cerra) include entries for Mean 2 metre temperature. The specific encoding for Mean 2 metre temperature can be found in 228004.\"},\n", + " 'unit': {'symbol': 'K'},\n", + " 'observedProperty': {'id': '2t', 'label': {'en': '2 metre temperature'}}}}}" ] }, "execution_count": 4, @@ -648,38 +640,38 @@ " * y (y) float64 8B 350.4\n", " * z (z) int64 8B 0\n", " * number (number) int64 8B 0\n", - " * datetime (datetime) <U20 80B '2024-09-11T00:00:00Z'\n", - " * t (t) datetime64[ns] 88B 2024-09-11 ... 2024-09-11T10:00:00\n", + " * datetime (datetime) <U20 80B '2024-09-15T00:00:00Z'\n", + " * t (t) datetime64[ns] 88B 2024-09-15 ... 2024-09-15T10:00:00\n", "Data variables:\n", - " ssrd (x, y, z, number, datetime, t) float64 88B 0.0 0.0 ... 4.014e+06\n", - " 2t (x, y, z, number, datetime, t) float64 88B 290.5 290.4 ... 290.5\n", - " 2d (x, y, z, number, datetime, t) float64 88B 288.3 288.1 ... 287.6\n", + " ssrd (x, y, z, number, datetime, t) float64 88B 0.0 0.0 ... 3.784e+06\n", + " 2d (x, y, z, number, datetime, t) float64 88B 287.1 287.2 ... 287.5\n", + " 2t (x, y, z, number, datetime, t) float64 88B 292.8 292.6 ... 291.5\n", "Attributes:\n", " class: od\n", - " Forecast date: 2024-09-11T00:00:00Z\n", + " Forecast date: 2024-09-15T00:00:00Z\n", " domain: g\n", " expver: 0001\n", " levtype: sfc\n", " stream: oper\n", " type: fc\n", - " number: 0" + " number: 0" ], "text/plain": [ " Size: 464B\n", @@ -689,15 +681,15 @@ " * y (y) float64 8B 350.4\n", " * z (z) int64 8B 0\n", " * number (number) int64 8B 0\n", - " * datetime (datetime)
    2m temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions. See further information .

    This parameter has units of kelvin (K). Temperature measured in kelvin can be converted to degrees Celsius (°C) by subtracting 273.15.

    Please note that the encodings listed here for s2s & uerra (which includes encodings for carra/cerra) include entries for Mean 2 metre temperature. The specific encoding for Mean 2 metre temperature can be found in 228004.\"},\n", + " 'unit': {'symbol': 'K'},\n", + " 'observedProperty': {'id': '2t', 'label': {'en': '2 metre temperature'}}},\n", + " 'ssrd': {'type': 'Parameter',\n", + " 'description': {'en': \"This parameter is the amount of solar radiation (also known as shortwave radiation) that reaches a horizontal plane at the surface of the Earth. This parameter comprises both direct and diffuse solar radiation.

    Radiation from the Sun (solar, or shortwave, radiation) is partly reflected back to space by clouds and particles in the atmosphere (aerosols) and some of it is absorbed. The rest is incident on the Earth's surface (represented by this parameter). See further documentation.

    To a reasonably good approximation, this parameter is the model equivalent of what would be measured by a pyranometer (an instrument used for measuring solar radiation) at the surface. However, care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box.

    This parameter is accumulated over a particular time period which depends on the data extracted. The units are joules per square metre (J m-2). To convert to watts per square metre (W m-2), the accumulated values should be divided by the accumulation period expressed in seconds. The ECMWF convention for vertical fluxes is positive downwards.\"},\n", + " 'unit': {'symbol': 'J m**-2'},\n", + " 'observedProperty': {'id': 'ssrd',\n", + " 'label': {'en': 'Surface short-wave (solar) radiation downwards'}}}}}" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "Plot meteogram" + "result" ] }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 10, "metadata": {}, "outputs": [ { "data": { - "application/vnd.plotly.v1+json": { - "config": { - "plotlyServerURL": "https://plot.ly" - }, - "data": [ - { - "fillcolor": "#b3c6ff", - "hoverinfo": "skip", - "line": { - "color": "#0040ff", - "width": 1.5 - }, - "lowerfence": [ - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 67072, - 611328, - 1740288, - 3628544, - 6020608, - 8787968, - 11690496, - 14509056, - 17018368, - 19025920, - 20392960, - 21064704, - 21178880, - 21178880, - 21178880, - 21178880, - 21178880, - 21178880, - 21178880, - 21178368, - 21178368, - 21178368, - 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