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

Abstract

In preparation for next generation North American Land Data Assimilation System (NLDAS), 3 three advanced land surface models (CLM4.0, Noah-MP, and CLSM-F2.5) were run from 1979 4 to 2014 within the NLDAS-based framework. Monthly total water storage anomaly (TWSA) and 5 its individual water storage components were evaluated against satellite-based and in situ 6 observations, and reference reanalysis products at basin-wide and statewide scales. In general, all 7 three models are able to reasonably capture the monthly and interannual variability and 8 magnitudes for TWSA. However, contributions of the anomalies of individual water 9 components to TWSA are very dependent on the model and basin. A major contributor to the 10 TWSA is the anomaly of total column soil moisture content (SMCA) for CLM4.0 and Noah-MP 11 or groundwater storage anomaly (GWSA) for CLSM-F2.5 although other components such as 12 the anomaly of snow water equivalent (SWEA) also play some role. For each individual water 13 storage component, the models are able to capture broad features such as monthly and 14 interannual variability. However, there are large inter-model differences and quantitative 15 uncertainties in this study. Therefore, it should be thought of as a preliminary synthesis and 16 analysis.

Authors:
 [1];  [2];  [3];  [4];  [2];  [5];  [6];  [7]
  1. I. M. Systems Group at NOAA/NCEP/Environmental Modeling Center, College Park, Maryland
  2. Hydrological Science Laboratory, NASA Goddard Space Flight Center, Greenbelt, Maryland
  3. Pacific Northwest National Laboratory, Richland, Washington
  4. Earth System Science Interdisciplinary Center, University of Maryland, College Park, College Park, Maryland
  5. Prescient Weather Ltd., State College, Pennsylvania
  6. Department of Civil and Environmental Engineering, Princeton University, Princeton, New Jersey
  7. NOAA/NCEP/Environmental Modeling Center, College Park, Maryland
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1378038
Report Number(s):
PNNL-SA-118565
Journal ID: ISSN 1525-755X; KP1702030
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Journal Article
Resource Relation:
Journal Name: Journal of Hydrometeorology; Journal Volume: 18; Journal Issue: 3
Country of Publication:
United States
Language:
English
Subject:
58 GEOSCIENCES

Citation Formats

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., 2017. 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. Wed . "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_1378038,
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 = {In preparation for next generation North American Land Data Assimilation System (NLDAS), 3 three advanced land surface models (CLM4.0, Noah-MP, and CLSM-F2.5) were run from 1979 4 to 2014 within the NLDAS-based framework. Monthly total water storage anomaly (TWSA) and 5 its individual water storage components were evaluated against satellite-based and in situ 6 observations, and reference reanalysis products at basin-wide and statewide scales. In general, all 7 three models are able to reasonably capture the monthly and interannual variability and 8 magnitudes for TWSA. However, contributions of the anomalies of individual water 9 components to TWSA are very dependent on the model and basin. A major contributor to the 10 TWSA is the anomaly of total column soil moisture content (SMCA) for CLM4.0 and Noah-MP 11 or groundwater storage anomaly (GWSA) for CLSM-F2.5 although other components such as 12 the anomaly of snow water equivalent (SWEA) also play some role. For each individual water 13 storage component, the models are able to capture broad features such as monthly and 14 interannual variability. However, there are large inter-model differences and quantitative 15 uncertainties in this study. Therefore, it should be thought of as a preliminary synthesis and 16 analysis.},
doi = {10.1175/JHM-D-16-0112.1},
journal = {Journal of Hydrometeorology},
number = 3,
volume = 18,
place = {United States},
year = {Wed Mar 01 00:00:00 EST 2017},
month = {Wed Mar 01 00:00:00 EST 2017}
}