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Title: A Climate Data Record (CDR) for the global terrestrial water budget: 1984–2010

Abstract

Closing the terrestrial water budget is necessary to provide consistent estimates of budget components for understanding water resources and changes over time. Given the lack of in situ observations of budget components at anything but local scale, merging information from multiple data sources (e.g., in situ observation, satellite remote sensing, land surface model, and reanalysis) through data assimilation techniques that optimize the estimation of fluxes is a promising approach. Conditioned on the current limited data availability, a systematic method is developed to optimally combine multiple available data sources for precipitation ( P), evapotranspiration (ET), runoff ( R), and the total water storage change (TWSC) at 0.5° spatial resolution globally and to obtain water budget closure (i.e., to enforce P-ET- R-TWSC = 0) through a constrained Kalman filter (CKF) data assimilation technique under the assumption that the deviation from the ensemble mean of all data sources for the same budget variable is used as a proxy of the uncertainty in individual water budget variables. The resulting long-term (1984–2010), monthly 0.5° resolution global terrestrial water cycle Climate Data Record (CDR) data set is developed under the auspices of the National Aeronautics and Space Administration (NASA) Earth System Data Records (ESDRs) program. Thismore » data set serves to bridge the gap between sparsely gauged regions and the regions with sufficient in situ observations in investigating the temporal and spatial variability in the terrestrial hydrology at multiple scales. The CDR created in this study is validated against in situ measurements like river discharge from the Global Runoff Data Centre (GRDC) and the United States Geological Survey (USGS), and ET from FLUXNET. The data set is shown to be reliable and can serve the scientific community in understanding historical climate variability in water cycle fluxes and stores, benchmarking the current climate, and validating models.« less

Authors:
 [1]; ORCiD logo [1];  [1];  [1];  [1];  [2]; ORCiD logo [1]; ORCiD logo [1];  [3];  [3]; ORCiD logo [4];  [5];  [6]; ORCiD logo [7];  [7]; ORCiD logo [1]
  1. Princeton Univ., NJ (United States). Department of Civil and Environmental Engineering
  2. National Meteorological Center, China Meteorological Administration, Beijing (China)
  3. George Mason Univ., Fairfax, VA (United States)
  4. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  5. Univ. of California, Los Angeles, CA (United States). Department of Geography
  6. Univ. of Maryland, College Park, MD (United States). Department of Meteorology
  7. Colorado State Univ., Fort Collins, CO (United States). Department of Atmospheric Science
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1417440
Report Number(s):
PNNL-SA-129750
Journal ID: ISSN 1607-7938
Grant/Contract Number:
AC05-76RL01830
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Hydrology and Earth System Sciences (Online)
Additional Journal Information:
Journal Name: Hydrology and Earth System Sciences (Online); Journal Volume: 22; Journal Issue: 1; Journal ID: ISSN 1607-7938
Publisher:
European Geosciences Union (EGU)
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES

Citation Formats

Zhang, Yu, Pan, Ming, Sheffield, Justin, Siemann, Amanda L., Fisher, Colby K., Liang, Miaoling, Beck, Hylke E., Wanders, Niko, MacCracken, Rosalyn F., Houser, Paul R., Zhou, Tian, Lettenmaier, Dennis P., Pinker, Rachel T., Bytheway, Janice, Kummerow, Christian D., and Wood, Eric F.. A Climate Data Record (CDR) for the global terrestrial water budget: 1984–2010. United States: N. p., 2018. Web. doi:10.5194/hess-22-241-2018.
Zhang, Yu, Pan, Ming, Sheffield, Justin, Siemann, Amanda L., Fisher, Colby K., Liang, Miaoling, Beck, Hylke E., Wanders, Niko, MacCracken, Rosalyn F., Houser, Paul R., Zhou, Tian, Lettenmaier, Dennis P., Pinker, Rachel T., Bytheway, Janice, Kummerow, Christian D., & Wood, Eric F.. A Climate Data Record (CDR) for the global terrestrial water budget: 1984–2010. United States. doi:10.5194/hess-22-241-2018.
Zhang, Yu, Pan, Ming, Sheffield, Justin, Siemann, Amanda L., Fisher, Colby K., Liang, Miaoling, Beck, Hylke E., Wanders, Niko, MacCracken, Rosalyn F., Houser, Paul R., Zhou, Tian, Lettenmaier, Dennis P., Pinker, Rachel T., Bytheway, Janice, Kummerow, Christian D., and Wood, Eric F.. Fri . "A Climate Data Record (CDR) for the global terrestrial water budget: 1984–2010". United States. doi:10.5194/hess-22-241-2018. https://www.osti.gov/servlets/purl/1417440.
@article{osti_1417440,
title = {A Climate Data Record (CDR) for the global terrestrial water budget: 1984–2010},
author = {Zhang, Yu and Pan, Ming and Sheffield, Justin and Siemann, Amanda L. and Fisher, Colby K. and Liang, Miaoling and Beck, Hylke E. and Wanders, Niko and MacCracken, Rosalyn F. and Houser, Paul R. and Zhou, Tian and Lettenmaier, Dennis P. and Pinker, Rachel T. and Bytheway, Janice and Kummerow, Christian D. and Wood, Eric F.},
abstractNote = {Closing the terrestrial water budget is necessary to provide consistent estimates of budget components for understanding water resources and changes over time. Given the lack of in situ observations of budget components at anything but local scale, merging information from multiple data sources (e.g., in situ observation, satellite remote sensing, land surface model, and reanalysis) through data assimilation techniques that optimize the estimation of fluxes is a promising approach. Conditioned on the current limited data availability, a systematic method is developed to optimally combine multiple available data sources for precipitation (P), evapotranspiration (ET), runoff (R), and the total water storage change (TWSC) at 0.5° spatial resolution globally and to obtain water budget closure (i.e., to enforce P-ET-R-TWSC = 0) through a constrained Kalman filter (CKF) data assimilation technique under the assumption that the deviation from the ensemble mean of all data sources for the same budget variable is used as a proxy of the uncertainty in individual water budget variables. The resulting long-term (1984–2010), monthly 0.5° resolution global terrestrial water cycle Climate Data Record (CDR) data set is developed under the auspices of the National Aeronautics and Space Administration (NASA) Earth System Data Records (ESDRs) program. This data set serves to bridge the gap between sparsely gauged regions and the regions with sufficient in situ observations in investigating the temporal and spatial variability in the terrestrial hydrology at multiple scales. The CDR created in this study is validated against in situ measurements like river discharge from the Global Runoff Data Centre (GRDC) and the United States Geological Survey (USGS), and ET from FLUXNET. The data set is shown to be reliable and can serve the scientific community in understanding historical climate variability in water cycle fluxes and stores, benchmarking the current climate, and validating models.},
doi = {10.5194/hess-22-241-2018},
journal = {Hydrology and Earth System Sciences (Online)},
number = 1,
volume = 22,
place = {United States},
year = {Fri Jan 12 00:00:00 EST 2018},
month = {Fri Jan 12 00:00:00 EST 2018}
}

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