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Daily GRACE Satellite Data Evaluate Short-term Hydro-meteorological Fluxes from Global Atmospheric Reanalyses

Overview
Journal Sci Rep
Specialty Science
Date 2020 Mar 13
PMID 32161304
Citations 3
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Abstract

Changes in terrestrial water storage as observed by the satellite gravity mission GRACE (Gravity Recovery and Climate Experiment) represent a new and completely independent way to constrain the net flux imbalance in atmospheric reanalyses. In this study daily GRACE gravity field changes are used for the first time to investigate high-frequency hydro-meteorological fluxes over the continents. Band-pass filtered water fluxes are derived from GRACE water storage time series by first applying a numerical differentiation filter and subsequent high-pass filtering to isolate fluxes at periods between 5 and 30 days corresponding to typical time-scales of weather system persistence at moderate latitudes. By comparison with the latest atmospheric reanalysis ERA5 of the European Centre for Medium-Range Weather Forecasts (ECWMF) we show that daily GRACE gravity field models contain realistic high-frequency water flux information. Furthermore, GRACE-derived water fluxes can clearly identify improvements realized within ERA5 over its direct predecessor ERA-Interim particularly in equatorial and temperate climate zones. The documented improvements are in good agreement with rain gauge validation, but GRACE also identifies three distinct regions (Sahel Zone, Okavango Catchment, Kimberley Plateau) with a slight degradation of net-fluxes in ERA5 with respect to ERA-Interim, thereby highlighting the potentially added value of non-standard daily GRACE gravity series for hydro-meteorological monitoring purposes.

Citing Articles

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Vargas Godoy M, Markonis Y Sci Rep. 2023; 13(1):4795.

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Reconstruction of GRACE Mass Change Time Series Using a Bayesian Framework.

Rateb A, Sun A, Scanlon B, Save H, Hasan E Earth Space Sci. 2022; 9(7):e2021EA002162.

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References
1.
Gelaro R, McCarty W, Suarez M, Todling R, Molod A, Takacs L . The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2). J Clim. 2020; Volume 30(Iss 13):5419-5454. PMC: 6999672. DOI: 10.1175/JCLI-D-16-0758.1. View

2.
Shepherd A, Ivins E, A G, Barletta V, Bentley M, Bettadpur S . A reconciled estimate of ice-sheet mass balance. Science. 2012; 338(6111):1183-9. DOI: 10.1126/science.1228102. View

3.
Gardner A, Moholdt G, Cogley J, Wouters B, Arendt A, Wahr J . A reconciled estimate of glacier contributions to sea level rise: 2003 to 2009. Science. 2013; 340(6134):852-7. DOI: 10.1126/science.1234532. View

4.
Rodell M, Famiglietti J, Wiese D, Reager J, Beaudoing H, Landerer F . Emerging trends in global freshwater availability. Nature. 2018; 557(7707):651-659. PMC: 6077847. DOI: 10.1038/s41586-018-0123-1. View

5.
Reager J, Gardner A, Famiglietti J, Wiese D, Eicker A, Lo M . A decade of sea level rise slowed by climate-driven hydrology. Science. 2016; 351(6274):699-703. DOI: 10.1126/science.aad8386. View