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hkershaw-brown authored Oct 5, 2023
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4 changes: 4 additions & 0 deletions .readthedocs.yaml
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sphinx:
configuration: conf.py

python:
install:
- requirements: guide/requirements.txt
14 changes: 14 additions & 0 deletions CHANGELOG.rst
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The changes are now listed with the most recent at the top.

**October 5 2023 :: WRF-DART tutorial diagnostic section. Tag v10.8.5**

- Improvements:

- Added a more complete diagnostics section to the WRF-DART Tutorial.
- Developer test for Mersenne twister random number generator.

- Bug-fix:

- 1D location subsetting fixed for obs_sequence_tool.

*contributed by Henry Santer*


**September 18 2023 :: Fluxnet observation converter and obs_def_rttov13_mod.f90 bug-fixes. Tag v10.8.4**

Fluxnet obs converter:
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2 changes: 1 addition & 1 deletion conf.py
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author = 'Data Assimilation Research Section'

# The full version, including alpha/beta/rc tags
release = '10.8.4'
release = '10.8.5'
root_doc = 'index'

# -- General configuration ---------------------------------------------------
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2 changes: 2 additions & 0 deletions guide/requirements.txt
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Sphinx==6.2.1
sphinx-rtd-theme==1.2.2
20 changes: 10 additions & 10 deletions models/clm/readme.rst
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Expand Up @@ -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. [5]_ Depending on the forecast length between assimilations, and
stops. Depending on the forecast length between assimilations, and
sometimes just to restore the variance lost during an assimilation,
inflation should be used.

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The
`CTSM Documentation <https://escomp.github.io/ctsm-docs/versions/master/html/index.html>`__
is THE reference for CLM.
is THE reference for CLM. Below are a list of CLM-DART scientific publications:

.. [1] Zhang, Y.-F., T. J. Hoar, Z.-L. Yang, J. L. Anderson, A. M. Toure and M. Rodell, 2014:
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>`__

.. [2] Lin, P., J. Wei, Z. -L. Yang, Y. Zhang, K. Zhang, 2016:
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>`__

.. [3] Zhao, L., Z. -L. Yang and T. J. Hoar, 2016:
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>`__

.. [4] Kwon, Y., Z. -L. Yang, T. J. Hoar and A. M. Toure, 2017:
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>`__

.. [5] Fox, A. M., Hoar, T. J., Anderson, J. L., Arellano, A. F., Smith, W. K., Litvak, M. E., et al., 2018:
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>`__

.. [6] Ling, X. L., Fu, C. B., Yang, Z. L., & Guo, W. D., 2019:
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>`__

.. [7] Bian, Q., Xu, Z., Zhao, L., Zhang, Y. F., Zheng, H., Shi, C., … & Yang, Z. L., 2019:
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>`__

.. [8] Raczka, B., Hoar T.J., Duarte H.F., Fox A.M., Anderson J.L., Bowling D.R., & Lin J.C., 2021
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>`__

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