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Title: Comparison and Assessment of Three Advanced Land Surface Models in Simulating Terrestrial Water Storage Components over the United States

To prepare for the next-generation North American Land Data Assimilation System (NLDAS), three advanced land surface models [LSMs; i.e., Community Land Model, version 4.0 (CLM4.0); Noah LSM with multiphysics options (Noah-MP); and Catchment LSM-Fortuna 2.5 (CLSM-F2.5)] were run for the 1979-2014 period within the NLDAS-based framework. Unlike the LSMs currently executing in the operational NLDAS, these three advanced LSMs each include a groundwater component. In this study, the model simulations of monthly terrestrial water storage anomaly (TWSA) and its individual water storage components are evaluated against satellite-based and in situ observations, as well as against reference reanalysis products, at basinwide and statewide scales. The quality of these TWSA simulations will contribute to determining the suitability of these models for the next phase of the NLDAS. Overall, it is found that all three models are able to reasonably capture the monthly and interannual variability and magnitudes of TWSA. However, the relative contributions of the individual water storage components to TWSA are very dependent on the model and basin. A major contributor to the TWSA is the anomaly of total column soil moisture content for CLM4.0 and Noah-MP, while the groundwater storage anomaly is the major contributor for CLSM-F2.5. Other water storagemore » components such as the anomaly of snow water equivalent also play a role in all three models. For each individual water storage component, the models are able to capture broad features such as monthly and interannual variability. However, there are large intermodel differences and quantitative uncertainties, which are motivating follow-on investigations in the NLDAS Science Testbed developed by the NASA and NCEP NLDAS teams.« less
Authors:
 [1] ;  [2] ;  [3] ;  [4] ;  [2] ;  [5] ;  [6] ;  [1]
  1. National Oceanic and Atmospheric Administration (NOAA), College Park, MD (United States). NOAA/NCEP/Environmental Modeling Center
  2. NASA Goddard Space Flight Center (GSFC), Greenbelt, MD (United States). Hydrological Science Lab.
  3. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  4. Univ. of Maryland, College Park, MD (United States). Earth System Science Interdisciplinary Center
  5. Prescient Weather Ltd., State College, PA (United States)
  6. Princeton Univ., NJ (United States). Dept. of Civil and Environmental Engineering
Publication Date:
Grant/Contract Number:
AC02-05CH11231; AC05-76RLO1830
Type:
Published Article
Journal Name:
Journal of Hydrometeorology
Additional Journal Information:
Journal Volume: 18; Journal Issue: 3; Journal ID: ISSN 1525-755X
Publisher:
American Meteorological Society
Research Org:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org:
USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22)
Country of Publication:
United States
Language:
English
Subject:
58 GEOSCIENCES
OSTI Identifier:
1343787
Alternate Identifier(s):
OSTI ID: 1474999

Xia, Youlong, Mocko, David, Huang, Maoyi, Li, Bailing, Rodell, Matthew, Mitchell, Kenneth E., Cai, Xitian, and Ek, Michael B.. Comparison and Assessment of Three Advanced Land Surface Models in Simulating Terrestrial Water Storage Components over the United States. United States: N. p., Web. doi:10.1175/JHM-D-16-0112.1.
Xia, Youlong, Mocko, David, Huang, Maoyi, Li, Bailing, Rodell, Matthew, Mitchell, Kenneth E., Cai, Xitian, & Ek, Michael B.. Comparison and Assessment of Three Advanced Land Surface Models in Simulating Terrestrial Water Storage Components over the United States. United States. doi:10.1175/JHM-D-16-0112.1.
Xia, Youlong, Mocko, David, Huang, Maoyi, Li, Bailing, Rodell, Matthew, Mitchell, Kenneth E., Cai, Xitian, and Ek, Michael B.. 2017. "Comparison and Assessment of Three Advanced Land Surface Models in Simulating Terrestrial Water Storage Components over the United States". United States. doi:10.1175/JHM-D-16-0112.1.
@article{osti_1343787,
title = {Comparison and Assessment of Three Advanced Land Surface Models in Simulating Terrestrial Water Storage Components over the United States},
author = {Xia, Youlong and Mocko, David and Huang, Maoyi and Li, Bailing and Rodell, Matthew and Mitchell, Kenneth E. and Cai, Xitian and Ek, Michael B.},
abstractNote = {To prepare for the next-generation North American Land Data Assimilation System (NLDAS), three advanced land surface models [LSMs; i.e., Community Land Model, version 4.0 (CLM4.0); Noah LSM with multiphysics options (Noah-MP); and Catchment LSM-Fortuna 2.5 (CLSM-F2.5)] were run for the 1979-2014 period within the NLDAS-based framework. Unlike the LSMs currently executing in the operational NLDAS, these three advanced LSMs each include a groundwater component. In this study, the model simulations of monthly terrestrial water storage anomaly (TWSA) and its individual water storage components are evaluated against satellite-based and in situ observations, as well as against reference reanalysis products, at basinwide and statewide scales. The quality of these TWSA simulations will contribute to determining the suitability of these models for the next phase of the NLDAS. Overall, it is found that all three models are able to reasonably capture the monthly and interannual variability and magnitudes of TWSA. However, the relative contributions of the individual water storage components to TWSA are very dependent on the model and basin. A major contributor to the TWSA is the anomaly of total column soil moisture content for CLM4.0 and Noah-MP, while the groundwater storage anomaly is the major contributor for CLSM-F2.5. Other water storage components such as the anomaly of snow water equivalent also play a role in all three models. For each individual water storage component, the models are able to capture broad features such as monthly and interannual variability. However, there are large intermodel differences and quantitative uncertainties, which are motivating follow-on investigations in the NLDAS Science Testbed developed by the NASA and NCEP NLDAS teams.},
doi = {10.1175/JHM-D-16-0112.1},
journal = {Journal of Hydrometeorology},
number = 3,
volume = 18,
place = {United States},
year = {2017},
month = {2}
}