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UID:pretalx-global-workshop-2026-P3DBXT@pretalx.earthmonitor.org
DTSTART;TZID=Europe/Amsterdam:20261009T141500
DTEND;TZID=Europe/Amsterdam:20261009T143000
DESCRIPTION:Satellite observations from the GRACE mission and its successor
  GRACE-FO have significantly advanced our ability to monitor terrestrial w
 ater storage (TWS) at regional to global scales. However\, their limited s
 patial and temporal resolution hampers the reliable separation of individu
 al hydrological fluxes\, particularly precipitation. However\, their coars
 e spatial and temporal resolution makes the individual separation of diffe
 rent hydrological fluxes from TWS a challenging problem. These limitations
  in current gravity mission concepts can be addressed by a joint collabora
 tion between NASA and ESA initiated the Mass-change And Geosciences Intern
 ational Constellation (MAGIC)\, which can provide enhanced spatio-temporal
  observations of mass change and therefore enable improved monitoring of h
 ydrological extremes and dynamics. The primary objective of this work to a
 ccess how improving the spatial and temporal resolution of future gravity 
 missions impacts precipitation estimation by developing a number of global
  synthetic experiments. The precipitation data used as forcing of ESM will
  be compared with the “true” precipitation for testing the reliability
  of the SM2RAIN approach (Brocca et al.\, 2014) using as input EWH data (i
 n the past it was implemented by using surface soil moisture data). Simula
 ted precipitation estimates derived from different gravity mission configu
 rations (GRACE-C\, NGGM\, and MAGIC) were evaluated against reference prec
 ipitation to quantify performance improvements. The global correlation ana
 lysis shows median and mean correlation coefficients of 0.67 and 0.63\, re
 spectively\, indicating satisfactory performance of the EWH based SM2RAIN 
 framework across most terrestrial regions. Stronger correlations are obser
 ved over Northern Hemisphere mid-latitudes\, including Europe\, northern A
 sia\, and North America\, reflecting robust performance in temperate clima
 tes\, while reduced performance is evident in several tropical regions suc
 h as central Africa\, parts of the Amazon Basin\, and Southeast Asia. Subs
 equently\, synthetic experiments were developed using filter and unfiltere
 d configurations of GRACE-C\, NGGM\, and MAGIC missions. The performance o
 f NGGM and MAGIC filtered configurations indicates their capability to cap
 ture precipitation dynamics effectively as compared to unfiltered ones. Th
 e results of the study clearly highlight the  added value of next generati
 on gravity missions for global hydrological monitoring and develops new sc
 alable EO based precipitation estimation systems that support emerging ope
 n and distributed EO infrastructures. The proposed framework enables impro
 ved assessment of water cycle dynamics as well as enhanced monitoring of h
 ydrological extremes such as droughts and floods.\n\nReferences\n\nBrocca\
 , L.\, Ciabatta\, L.\, Massari\, C.\, Moramarco\, T.\, Hahn\, S.\, Hasenau
 er\, S.\, Kidd\, R.\, Dorigo\, W.\, Wagner\, W.\, & Levizzani\, V. (2014).
  Soil as a natural rain gauge: Estimating global rainfall from satellite s
 oil moisture data. Journal of Geophysical Research: Atmospheres\, 119(9)\,
  5128–5141.
DTSTAMP:20260624T070957Z
LOCATION:Rooms 12+14
SUMMARY:Satellite Gravity Observations for Scalable Global Precipitation Mo
 nitoring - Muhammad Usman Liaqat
URL:https://pretalx.earthmonitor.org/global-workshop-2026/talk/P3DBXT/
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