Please use this identifier to cite or link to this item: http://dx.doi.org/10.18419/opus-11584
Authors: Vishwakarma, Bramha Dutt
Zhang, Jinwei
Sneeuw, Nico
Title: Downscaling GRACE total water storage change using partial least squares regression
Issue Date: 2021
metadata.ubs.publikation.typ: Zeitschriftenartikel
metadata.ubs.publikation.seiten: 13
metadata.ubs.publikation.source: Scientific data 8 (2021), No. 95
URI: http://elib.uni-stuttgart.de/handle/11682/11601
http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-ds-116014
http://dx.doi.org/10.18419/opus-11584
ISSN: 2052-4463
Abstract: The Gravity Recovery And Climate Experiment (GRACE) satellite mission recorded temporal variations in the Earth’s gravity field, which are then converted to Total Water Storage Change (TWSC) fields representing an anomaly in the water mass stored in all three physical states, on and below the surface of the Earth. GRACE provided a first global observational record of water mass redistribution at spatial scales greater than 63000 km2. This limits their usability in regional hydrological applications. In this study, we implement a statistical downscaling approach that assimilates 0.5° × 0.5° water storage fields from the WaterGAP hydrology model (WGHM), precipitation fields from 3 models, evapotranspiration and runoff from 2 models, with GRACE data to obtain TWSC at a 0.5° × 0.5° grid. The downscaled product exploits dominant common statistical modes between all the hydrological datasets to improve the spatial resolution of GRACE. We also provide open access to scripts that researchers can use to produce downscaled TWSC fields with input observations and models of their own choice.
Appears in Collections:06 Fakultät Luft- und Raumfahrttechnik und Geodäsie

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