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      A Global Gridded Dataset of GRACE Drought Severity Index for 2002–14: Comparison with PDSI and SPEI and a Case Study of the Australia Millennium Drought

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          Abstract

          A new monthly global drought severity index (DSI) dataset developed from satellite-observed time-variable terrestrial water storage changes from the Gravity Recovery and Climate Experiment (GRACE) is presented. The GRACE-DSI record spans from 2002 to 2014 and will be extended with the ongoing GRACE and scheduled GRACE Follow-On missions. The GRACE-DSI captures major global drought events during the past decade and shows overall favorable spatiotemporal agreement with other commonly used drought metrics, including the Palmer drought severity index (PDSI) and the standardized precipitation evapotranspiration index (SPEI). The assets of the GRACE-DSI are 1) that it is based solely on satellite gravimetric observations and thus provides globally consistent drought monitoring, particularly where sparse ground observations (especially precipitation) constrain the use of traditional model-based monitoring methods; 2) that it has a large footprint (~350 km), so it is suitable for assessing regional- and global-scale drought; and 3) that it is sensitive to the overall terrestrial water storage component of the hydrologic cycle and therefore complements existing drought monitoring datasets by providing information about groundwater storage changes, which affect soil moisture recharge and drought recovery. In Australia, it is demonstrated that combining GRACE-DSI with other satellite environmental datasets improves the characterization of the 2000s “Millennium Drought” at shallow surface and subsurface soil layers. Contrasting vegetation greenness response to surface and underground water supply changes between western and eastern Australia is found, which might indicate that these regions have different relative plant rooting depths.

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          Most cited references58

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          Time variability of the Earth's gravity field: Hydrological and oceanic effects and their possible detection using GRACE

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            Accuracy of scaled GRACE terrestrial water storage estimates

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              Post-processing removal of correlated errors in GRACE data

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                Author and article information

                Contributors
                Journal
                Journal of Hydrometeorology
                American Meteorological Society
                1525-755X
                1525-7541
                August 01 2017
                August 01 2017
                July 18 2017
                : 18
                : 8
                : 2117-2129
                Affiliations
                [1 ]Department of Earth System Science, University of California, Irvine, Irvine, California
                [2 ]Department of Earth System Science, University of California, Irvine, Irvine, and Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California
                [3 ]Numerical Terradynamic Simulation Group, College of Forestry and Conservation, University of Montana, Missoula, Montana
                Article
                10.1175/JHM-D-16-0182.1
                589b689a-a854-4f96-98ec-6ab32d316ff0
                © 2017

                http://www.ametsoc.org/PUBSReuseLicenses

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