An Innovative Slepian Approach to Invert GRACE KBRR for Localized Hydrological Information at the Sub-Basin Scale

GRACE spherical harmonics are well-adapted for representation of hydrological signals in river drainage basins of large size such as the Amazon or Mississippi basins. However, when one needs to study smaller drainage basins, one comes up against the low spatial resolution of the solutions in spherical harmonics. To overcome this limitation, we propose a new approach based on Slepian functions which can reduce the energy loss by integrating information in the spatial, spectral and time domains. Another advantage of these regionally-defined functions is the reduction of the problem dimensions compared to the spherical harmonic parameters. This also induces a drastic reduction of the computational time. These Slepian functions are used to invert the GRACE satellite data to restore the water mass fluxes of different hydro-climatologic environments in Africa. We apply them to two African drainage basins chosen for their size of medium scale and their geometric specificities: the Congo river basin with a quasi-isotropic shape and the Nile river basin with an anisotropic and more complex shape. Time series of Slepian coefficients have been estimated from real along-track GRACE geopotential differences for about ten years, and these coefficients are in agreement with both the spherical harmonic solutions provided by the official centers CSR, GFZ, JPL and the GLDAS model used for validation. The Slepian function analysis highlights the water mass variations at sub-basin scales in both basins.

[1]  M. Hansen,et al.  Estimating daily streamflow in the Congo Basin using satellite-derived data and a semi-distributed hydrological model , 2019, Hydrological Sciences Journal.

[2]  T. McMahon,et al.  Updated world map of the Köppen-Geiger climate classification , 2007 .

[3]  Frédéric Frappart,et al.  Recovery of Rapid Water Mass Changes (RWMC) by Kalman Filtering of GRACE Observations , 2020, Remote. Sens..

[4]  A. Eicker,et al.  Daily GRACE satellite data evaluate short-term hydro-meteorological fluxes from global atmospheric reanalyses , 2020, Scientific Reports.

[5]  Byron D. Tapley,et al.  Contribution of ice sheet and mountain glacier melt to recent sea level rise , 2013 .

[6]  C. Harig,et al.  Long-Term and Inter-annual Mass Changes in the Iceland Ice Cap Determined From GRACE Gravity Using Slepian Functions , 2019, Front. Earth Sci..

[7]  Y. Ouma,et al.  Use of GRACE time-variable data and GLDAS-LSM for estimating groundwater storage variability at small basin scales: a case study of the Nzoia River Basin , 2015 .

[8]  Chung-Yen Kuo,et al.  Terrestrial Water Storage in African Hydrological Regimes Derived from GRACE Mission Data: Intercomparison of Spherical Harmonics, Mass Concentration, and Scalar Slepian Methods , 2017, Sensors.

[9]  C. K. Shum,et al.  Characterization of terrestrial water dynamics in the Congo Basin using GRACE and satellite radar altimetry , 2011 .

[10]  M. Birylo,et al.  Groundwater Storage Changes Derived from GRACE and GLDAS on Smaller River Basins—A Case Study in Poland , 2020 .

[11]  F. Simons,et al.  The changing mass of glaciers on the Tibetan Plateau, 2002–2016, using time-variable gravity from the GRACE satellite mission , 2018, Journal of Geodetic Science.

[12]  F. Simons,et al.  Mapping Greenland’s mass loss in space and time , 2012, Proceedings of the National Academy of Sciences.

[13]  D. Sonwa,et al.  Living under a Fluctuating Climate and a Drying Congo Basin , 2020, Sustainability.

[14]  Frank Flechtner,et al.  Contributions of GRACE to understanding climate change , 2019, Nature Climate Change.

[15]  N. G. Val’es,et al.  CNES/GRGS 10-day gravity field models (release 2) and their evaluation , 2010 .

[16]  Wei Li,et al.  Monitoring Groundwater Storage Changes in the Loess Plateau Using GRACE Satellite Gravity Data, Hydrological Models and Coal Mining Data , 2018, Remote. Sens..

[17]  A. Goudie,et al.  The drainage of Africa since the Cretaceous , 2005 .

[18]  S. Gratton,et al.  GRACE-derived surface water mass anomalies by energy integral approach: application to continental hydrology , 2011 .

[19]  Frederik J. Simons,et al.  Accelerated West Antarctic ice mass loss continues to outpace East Antarctic gains , 2015 .

[20]  S. Hastenrath Circulation mechanisms of climate anomalies in East Africa and the equatorial Indian Ocean , 2007 .

[21]  Frédérique Seyler,et al.  Water Level Fluctuations in the Congo Basin Derived from ENVISAT Satellite Altimetry , 2014, Remote. Sens..

[22]  C. Bernhofer,et al.  Long-term trends in rainfall and temperature using high-resolution climate datasets in East Africa , 2019, Scientific Reports.

[23]  Frederik J. Simons,et al.  Slepian functions and their use in signal estimation and spectral analysis , 2009, 0909.5368.

[24]  Jean-François Crétaux,et al.  Recent hydrological behavior of the East African great lakes region inferred from GRACE, satellite altimetry and rainfall observations , 2010 .