Land surface data assimilation results from 2010 to 2018 between 45°N and 70°N – Data archive for "Improved Groundwater Table and L-band Brightness Temperature Estimates for Northern Hemisphere Peatlands Using New Model Physics and SMOS Observations in a Global Data Assimilation Framework"
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The datasets archived here include simulation results discussed in the paper, “Improved Groundwater Table and L-band Brightness Temperature Estimates for Northern Hemisphere Peatlands Using New Model Physics and SMOS Observations in a Global Data Assimilation Framework”. The output was produced by combining peatland-specific land surface modeling (Bechtold et al., 2019b) embedded in the NASA Catchment Land Surface Model (CLSM) with L-band brightness temperature observations (SMOS), applying the data assimilation framework of the SMAP Level‐4 Soil Moisture product (Reichle et al., in press). We provide netcdf files (9-km resolution EASEv2 grid, period 2010 – 2018, and between 45°N and 70°N, NE Asia excluded) of the four experiments of the manuscript: model-only (open-loop, OL) and data assimilation (DA) for each land model version, that is CLSM without and with the use of the PEATCLSM modules. We provide three types of netcdf files: daily_images_*.nc: Daily land states and fluxes ObsFcstAna_images_*.nc: Brightness temperature observations, forecasts and analysis incr_images_*.nc: Data assimilation increments The file content is described in the file PEATCLSM_SMOS_DA_v1_Documentation.pdf Please contact Michel Bechtold (michel.bechtold@kuleuven.be) for any questions. <br> Bechtold, M., De Lannoy, G. J. M., Reichle, R. H., & Koster, R. D. (2019a). PEAT-CLSM simulation output (Northern Peatlands) version 1. https://doi.org/10.17605/OSF.IO/E58YM<br> Bechtold, M., De Lannoy, G. J. M., Koster, R. D., Reichle, R. H., Mahanama, S., Bleuten, W., et al. (2019b). PEAT‐CLSM: A Specific Treatment of Peatland Hydrology in the NASA Catchment Land Surface Model. Journal of Advances in Modeling Earth Systems, 2018MS0015, 2018MS001574. https://doi.org/10.1029/2018MS001574<br> Reichle, R. H., Liu, Q., Koster, R. D., Crow, W. T., De Lannoy, G. J. M., Kimball, J. S., et al. (n.d.). Version 4 of the SMAP Level-4 Soil Moisture Algorithm and Data Product. Journal of Advances in Modeling Earth Systems, in press. https://doi.org/10.1029/2019MS001729



