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"

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 ([e-mail]) for any questions. <br> Bechtold, M., De Lannoy, G. J. M., Reichle, R. H., &amp; 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本存档数据集包含论文《基于新模型物理机制与全球数据同化框架内的SMOS观测估算北半球泥炭地地下水位与L波段亮温（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）》中讨论的模拟结果。该输出结果通过将嵌入于美国国家航空航天局（National Aeronautics and Space Administration, NASA）流域陆地表面模型（Catchment Land Surface Model, CLSM）的泥炭地专属陆地表面模型（Bechtold等，2019b）与L波段亮温观测数据（土壤湿度与海洋盐度卫星，SMOS）相结合，并应用SMAP（土壤湿度主动被动卫星，Soil Moisture Active Passive）四级土壤湿度产品（Reichle等，即将出版）的数据同化框架生成。 我们提供该论文四项实验的通用网络数据格式（Network Common Data Form, NetCDF）文件，其空间分辨率为9公里的EASEv2网格，时间覆盖2010年至2018年，范围为北纬45°至70°，不含东北亚区域。四项实验分别为：两种陆地模型版本下的仅模型运行（开环，OL）与数据同化（DA），即未搭载PEATCLSM（泥炭地专属陆地表面模型）模块的CLSM，以及搭载PEATCLSM模块的CLSM。 本次提供三类NetCDF文件： 1. daily_images_*.nc：每日陆地状态与通量数据 2. ObsFcstAna_images_*.nc：亮温观测、预报与分析数据 3. incr_images_*.nc：数据同化增量数据 文件详细内容请参阅PEATCLSM_SMOS_DA_v1_Documentation.pdf文档。如有任何疑问，请联系Michel Bechtold（[e-mail]）。 参考文献： 1. 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 译为：贝希托尔德M.、德·拉努瓦G. J. M.、赖克尔R. H.与科斯特R. D.（2019a）。泥炭地专属陆地表面模型（PEAT-CLSM）模拟输出（北半球泥炭地）版本1。https://doi.org/10.17605/OSF.IO/E58YM 2. 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 译为：贝希托尔德M.、德·拉努瓦G. J. M.、科斯特R. D.、赖克尔R. H.、马哈纳马S.、布勒滕W.等（2019b）。PEAT-CLSM：美国国家航空航天局流域陆地表面模型中泥炭地水文的专属处理方案。《地球系统建模进展杂志》，2018MS0015，2018MS001574。https://doi.org/10.1029/2018MS001574 3. 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 译为：赖克尔R. H.、刘Q.、科斯特R. D.、克劳W. T.、德·拉努瓦G. J. M.、金博尔J. S.等（未注明出版日期）。SMAP四级土壤湿度算法与数据产品第4版。《地球系统建模进展杂志》，即将出版。https://doi.org/10.1029/2019MS001729