git practice - making models/clm/readme.rst the same as main

models/clm/readme.rst

@@ -495,7 +495,7 @@ Inflation has been shown to be quite useful in our experience of
 DA with CLM and DART. The model is strongly influenced by the
 atmospheric forcing and will cause the CLM ensemble to
 relax to a state consistent with the forcing when the assimilation
-stops. Depending on the forecast length between assimilations, and 
+stops. [5]_ Depending on the forecast length between assimilations, and 
 sometimes just to restore the variance lost during an assimilation, 
 inflation should be used.
 
@@ -744,50 +744,49 @@ References
 
 The 
 `CTSM Documentation <https://escomp.github.io/ctsm-docs/versions/master/html/index.html>`__
-is THE reference for CLM. Below are a list of CLM-DART scientific publications:
+is THE reference for CLM.
 
-
-..     Zhang, Y.-F., T. J. Hoar, Z.-L. Yang, J. L. Anderson, A. M. Toure and M. Rodell, 2014:
+.. [1] Zhang, Y.-F., T. J. Hoar, Z.-L. Yang, J. L. Anderson, A. M. Toure and M. Rodell, 2014:
        Assimilation of MODIS snow cover through the Data Assimilation Research Testbed 
        and the Community Land Model version 4.
        *Journal of Geophysical Research: Atmospheres*, **142** 1489-1508, 
        `doi:10.1002/2013JD021329 <https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2013JD021329>`__
 
-..     Lin, P., J. Wei, Z. -L. Yang, Y. Zhang, K. Zhang, 2016:
+.. [2] Lin, P., J. Wei, Z. -L. Yang, Y. Zhang, K. Zhang, 2016:
        Snow data assimilation‐constrained land initialization improves seasonal 
        temperature prediction.
        *Geophysical Research Letters* **43** (21), 11,423-11,432
        `doi:10.1002/2016GL070966 <https://doi.org/10.1002/2016GL070966>`__
 
-..     Zhao, L., Z. -L. Yang and T. J. Hoar, 2016:
+.. [3] Zhao, L., Z. -L. Yang and T. J. Hoar, 2016:
        Global soil moisture estimation by assimilating AMSR-E brightness temperatures 
        in a coupled CLM4-RTM-DART system.
        *Journal of Hydrometeorology*, **17**, 2431-2454, 
        `doi:10.1175/JHM-D-15-0218.1 <https://doi.org/10.1175/JHM-D-15-0218.1>`__
 
-..     Kwon, Y., Z. -L. Yang, T. J. Hoar and A. M. Toure, 2017:
+.. [4] Kwon, Y., Z. -L. Yang, T. J. Hoar and A. M. Toure, 2017:
        Improving the radiance assimilation performance in estimating snow water storage across 
        snow and land-cover types in North America.
        *Journal of Hydrometeorology*, **18**, 651-668, 
        `doi:10.1175/JHM-D-16-0102.1 <https://doi.org/10.1175/JHM-D-16-0102.1>`__
 
-..     Fox, A. M., Hoar, T. J., Anderson, J. L., Arellano, A. F., Smith, W. K., Litvak, M. E., et al., 2018:
+.. [5]  Fox, A. M., Hoar, T. J., Anderson, J. L., Arellano, A. F., Smith, W. K., Litvak, M. E., et al., 2018:
        Evaluation of a data assimilation system for land surface models using CLM4.5.
        *Journal of Advances in Modeling Earth Systems*, **10**, 2471–2494, 
        `doi.org/10.1029/2018MS001362 <https://doi.org/10.1029/2018MS001362>`__
 
-..     Ling, X. L., Fu, C. B., Yang, Z. L., & Guo, W. D., 2019:
+.. [6] Ling, X. L., Fu, C. B., Yang, Z. L., & Guo, W. D., 2019:
        Comparison of different sequential assimilation algorithms for satellite-derived leaf area 
        index using the Data Assimilation Research Testbed (version Lanai).
        *Geoscientific Model Development*, 12(7), 3119-3133. 
        `doi.org/10.5194/gmd-12-3119-2019 <https://doi.org/10.5194/gmd-12-3119-2019>`__
 
-..     Bian, Q., Xu, Z., Zhao, L., Zhang, Y. F., Zheng, H., Shi, C., … & Yang, Z. L., 2019:
+.. [7] Bian, Q., Xu, Z., Zhao, L., Zhang, Y. F., Zheng, H., Shi, C., … & Yang, Z. L., 2019:
        Evaluation and intercomparison of multiple snow water equivalent products over the Tibetan Plateau.
        *Journal of Hydrometeorology*, 20(10), 2043-2055. 
        `doi.org/10.1175/JHM-D-19-0011.1 <https://doi.org/10.1175/JHM-D-19-0011.1>`__
 
-..     Raczka, B., Hoar T.J., Duarte H.F., Fox A.M., Anderson J.L., Bowling D.R., & Lin J.C., 2021
+.. [8] Raczka, B., Hoar T.J., Duarte H.F., Fox A.M., Anderson J.L., Bowling D.R., & Lin J.C., 2021
        Improving CLM5.0 Biomass and Carbon Exchange across the Western US Using a Data Assimilation System.
        *Journal of Advances in Modeling Earth Systems*, `doi.org/10.1029/2020MS002421 <https://doi.org/10.1029/2020MS002421>`__