Articles | Volume 22, issue 1
https://doi.org/10.5194/hess-22-241-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-22-241-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
A Climate Data Record (CDR) for the global terrestrial water budget: 1984–2010
Yu Zhang
Department of Civil and Environmental Engineering, Princeton University,
Princeton, NJ 08544, USA
Department of Civil and Environmental Engineering, Princeton University,
Princeton, NJ 08544, USA
Justin Sheffield
Department of Civil and Environmental Engineering, Princeton University,
Princeton, NJ 08544, USA
Amanda L. Siemann
Department of Civil and Environmental Engineering, Princeton University,
Princeton, NJ 08544, USA
Colby K. Fisher
Department of Civil and Environmental Engineering, Princeton University,
Princeton, NJ 08544, USA
Miaoling Liang
National Meteorological Center, China Meteorological Administration,
Beijing, 100081, China
Hylke E. Beck
Department of Civil and Environmental Engineering, Princeton University,
Princeton, NJ 08544, USA
Niko Wanders
Department of Civil and Environmental Engineering, Princeton University,
Princeton, NJ 08544, USA
Rosalyn F. MacCracken
George Mason University, Fairfax, VA 22030, USA
Paul R. Houser
George Mason University, Fairfax, VA 22030, USA
Tian Zhou
Pacific Northwest National Laboratory, Richland, WA 99352, USA
Dennis P. Lettenmaier
Department of Geography, University of California, Los Angeles, CA 90095,
USA
Rachel T. Pinker
Department of Meteorology, University of Maryland, College Park, MD 20742,
USA
Janice Bytheway
Department of Atmospheric Science, Colorado State University, Fort Collins,
CO 80523, USA
Christian D. Kummerow
Department of Atmospheric Science, Colorado State University, Fort Collins,
CO 80523, USA
Eric F. Wood
Department of Civil and Environmental Engineering, Princeton University,
Princeton, NJ 08544, USA
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- Satellite Remote Sensing for Water Resources Management: Potential for Supporting Sustainable Development in Data‐Poor Regions J. Sheffield et al. 10.1029/2017WR022437
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Short summary
A global data record for all four terrestrial water budget variables (precipitation, evapotranspiration, runoff, and total water storage change) at 0.5° resolution and monthly scale for the period of 1984–2010 is developed by optimally merging a series of remote sensing products, in situ measurements, land surface model outputs, and atmospheric reanalysis estimates and enforcing the mass balance of water. Initial validations show the data record is reliable for climate related analysis.
A global data record for all four terrestrial water budget variables (precipitation,...