Mon Oct 13, F. Flechtner
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Hacker, Charlotte and Kusche, Jürgen, 2024. How realistic are multi-decadal reconstructions of GRACE-like total water storage anomalies?. Journal of Hydrology, 645:132180, doi:10.1016/j.jhydrol.2024.13218010.22541/essoar.168565379.97983345/v1.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2024JHyd..64532180H,
author = {{Hacker}, Charlotte and {Kusche}, J{\"u}rgen},
title = "{How realistic are multi-decadal reconstructions of GRACE-like total water storage anomalies?}",
journal = {Journal of Hydrology},
keywords = {Comparative analysis, Multi-decadal total water storage anomalies (TWSA) reconstructions, GRACE, SLR},
year = 2024,
month = dec,
volume = {645},
eid = {132180},
pages = {132180},
abstract = "{Reconstructions allow us to extend the Gravity Recovery And Climate
Experiment (GRACE) data record into the past and bridge the one-
year gap between GRACE and its successor, GRACE-FO (Follow on).
Reconstructed total water storage anomalies (TWSA) are obtained
by identifying relations between GRACE-derived TWSA and climate
variables via statistical and machine learning techniques.
However, a comparative analysis of the characteristics and
realism of reconstructions is missing. In this contribution, we
close this gap by comparing three global reconstructions by
Humphrey and Gudmundsson (2019), Li et al. (2021) and
Chandanpurkar et al. (2022) mutually and against output from the
Water Global Analysis and Prognosis (WaterGAP) hydrological
model from 1979 onwards, against large-scale mass-change derived
from geodetic satellite laser ranging (SLR) from 1992 onwards,
and finally against differing GRACE and GRACE-FO solutions from
2002 onwards. The reconstructions vary regarding design and
trained GRACE solution. Reconstructions recover the TWSA signal
for humid climate regions but disagree for arid climate regions,
which is evident on the inter-annual timescales. At seasonal and
sub-seasonal timescales, the reconstructions agree surprisingly
well in many regions. Our comparison against independent SLR
data reveals that reconstructions (only) partially succeed in
representing anomalous TWSA for areas that are influenced by
significant climate modes such as El Ni{\~n}o-Southern
Oscillation (ENSO).}",
doi = {10.1016/j.jhydrol.2024.13218010.22541/essoar.168565379.97983345/v1},
adsurl = {https://ui.adsabs.harvard.edu/abs/2024JHyd..64532180H},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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Mon Oct 13, F. Flechtner