Near real-time GRACE gravity field solutions for hydrological monitoring applications

Andreas Kvas, Ben Gouweleeuw, Torsten Mayer-Gürr, Andreas Güntner

Research output: Contribution to conference(Old data) Lecture or PresentationResearch

Abstract

Within the EGSIEM (European Gravity Service for Improved Emergency Management) project, a demonstrator
for a near real-time (NRT) gravity field service which provides daily GRACE gravity field solutions will be
established. Compared to the official GRACE gravity products, these NRT solutions will increase the temporal
resolution from one month to one day and reduce the latency from currently two months to five days. This fast
availability allows the monitoring of total water storage variations and of hydrological extreme events as they
occur, in contrast to a ‘confirmation after occurrence’ as is the situation today. The service will be jointly run by
GFZ (German Research Centre for Geosciences) and Graz University of Technology, with each analysis center
providing an independent solution. A Kalman filter framework, in which GRACE data is combined with prior
information, serves as basis for the gravity field recovery in order to increase the redundancy of the gravity
field estimates. The on-line nature of the NRT service necessitates a tailored smoothing algorithm as opposed to
post-processing applications, where forward-backward smoothing can be applied.
This contribution gives an overview on the near real-time processing chain and highlights differences between
the computed NRT solutions and the standard GRACE products. We discuss the special characteristics of the
Kalman filtered gravity field models as well as derived products and give an estimate of the expected error
levels. Additionally, we show the added value of the NRT solutions through comparison of the first results of the
pre-operational phase with in-situ data and monthly GRACE gravity field models.
Original languageEnglish
Publication statusPublished - 18 Apr 2016
EventEGU General Assembly 2016 - Wien, Austria
Duration: 17 Apr 201622 Apr 2016
http://meetingorganizer.copernicus.org/EGU2016/EGU2016-13356-1.pdf

Conference

ConferenceEGU General Assembly 2016
CountryAustria
CityWien
Period17/04/1622/04/16
Internet address

Fingerprint

GRACE
gravity field
monitoring
smoothing
gravity
project management
extreme event
Kalman filter
water storage
services
product

Keywords

  • GRACE
  • near real-time
  • time variable gravity field

Fields of Expertise

  • Sustainable Systems

Cite this

Kvas, A., Gouweleeuw, B., Mayer-Gürr, T., & Güntner, A. (2016). Near real-time GRACE gravity field solutions for hydrological monitoring applications. EGU General Assembly 2016, Wien, Austria.

Near real-time GRACE gravity field solutions for hydrological monitoring applications. / Kvas, Andreas; Gouweleeuw, Ben; Mayer-Gürr, Torsten; Güntner, Andreas.

2016. EGU General Assembly 2016, Wien, Austria.

Research output: Contribution to conference(Old data) Lecture or PresentationResearch

Kvas, A, Gouweleeuw, B, Mayer-Gürr, T & Güntner, A 2016, 'Near real-time GRACE gravity field solutions for hydrological monitoring applications' EGU General Assembly 2016, Wien, Austria, 17/04/16 - 22/04/16, .
Kvas A, Gouweleeuw B, Mayer-Gürr T, Güntner A. Near real-time GRACE gravity field solutions for hydrological monitoring applications. 2016. EGU General Assembly 2016, Wien, Austria.
Kvas, Andreas ; Gouweleeuw, Ben ; Mayer-Gürr, Torsten ; Güntner, Andreas. / Near real-time GRACE gravity field solutions for hydrological monitoring applications. EGU General Assembly 2016, Wien, Austria.
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AB - Within the EGSIEM (European Gravity Service for Improved Emergency Management) project, a demonstratorfor a near real-time (NRT) gravity field service which provides daily GRACE gravity field solutions will beestablished. Compared to the official GRACE gravity products, these NRT solutions will increase the temporalresolution from one month to one day and reduce the latency from currently two months to five days. This fastavailability allows the monitoring of total water storage variations and of hydrological extreme events as theyoccur, in contrast to a ‘confirmation after occurrence’ as is the situation today. The service will be jointly run byGFZ (German Research Centre for Geosciences) and Graz University of Technology, with each analysis centerproviding an independent solution. A Kalman filter framework, in which GRACE data is combined with priorinformation, serves as basis for the gravity field recovery in order to increase the redundancy of the gravityfield estimates. The on-line nature of the NRT service necessitates a tailored smoothing algorithm as opposed topost-processing applications, where forward-backward smoothing can be applied.This contribution gives an overview on the near real-time processing chain and highlights differences betweenthe computed NRT solutions and the standard GRACE products. We discuss the special characteristics of theKalman filtered gravity field models as well as derived products and give an estimate of the expected errorlevels. Additionally, we show the added value of the NRT solutions through comparison of the first results of thepre-operational phase with in-situ data and monthly GRACE gravity field models.

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