Abstract

Abstract. Two daily gravity field solutions based on observations from the Gravity Recovery and Climate Experiment (GRACE) satellite mission are evaluated against daily river runoff data for major flood events in the Ganges–Brahmaputra Delta (GBD) in 2004 and 2007. The trends over periods of a few days of the daily GRACE data reflect temporal variations in daily river runoff during major flood events. This is especially true for the larger flood in 2007, which featured two distinct periods of critical flood level exceedance in the Brahmaputra River. This first hydrological evaluation of daily GRACE gravity field solutions based on a Kalman filter approach confirms their potential for gravity-based large-scale flood monitoring. This particularly applies to short-lived, high-volume floods, as they occur in the GBD with a 4–5-year return period. The release of daily GRACE gravity field solutions in near-real time may enable flood monitoring for large events.

Highlights

  • Floods are dynamic events, which may only take hours to days to develop and drain

  • Two daily gravity field solutions based on observations from the Gravity Recovery and Climate Experiment (GRACE) satellite mission are evaluated against daily river runoff data for major flood events in the Ganges– Brahmaputra Delta (GBD) in 2004 and 2007

  • This study presents a hydrological evaluation of daily GRACE gravity field solutions based on a Kalman filter approach, which are scheduled for an operational run in 2017 with a time delay of just 5 days, in part enabled by quick-look Level-1 data with a time delay of 1 day (made available on request by NASA Jet Propulsion Laboratory (JPL)), by comparing the time series to observed river runoff in the Ganges–Brahmaputra Delta (GBD) under flood conditions

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Summary

Introduction

Floods are dynamic events, which may only take hours to days to develop and drain. For monitoring purposes, Earth observation products need to be available sufficiently frequently to capture the progressing stages of a flood event. Is at best 7–10 days, but most reliably 1 month, caused by a need to accumulate GRACE observations over this time period Both latency and temporal averaging currently limit the potential use of the GRACE Level-3 products (i.e., TWSAs) for flood monitoring and early-warning systems. This study presents a hydrological evaluation of daily GRACE gravity field solutions based on a Kalman filter approach, which are scheduled for an operational run in 2017 with a time delay of just 5 days, in part enabled by quick-look Level-1 data with a time delay of 1 day (made available on request by NASA Jet Propulsion Laboratory (JPL)), by comparing the time series to observed river runoff in the Ganges–Brahmaputra Delta (GBD) under flood conditions. In July and September 2007, two separate major flood peaks in the Brahmaputra caused inundation lasting weeks, affecting 42 % of the country (Islam et al, 2010)

Computation of daily GRACE Solutions
Process dynamics
The 2004 flood
The 2007 flood
Conclusions
Full Text
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