Mon Oct 13, F. Flechtner
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Schulze, K., Kusche, J., Gerdener, H., Döll, P., and Müller Schmied, H., 2024. Benefits and Pitfalls of GRACE and Streamflow Assimilation for Improving the Streamflow Simulations of the WaterGAP Global Hydrology Model. Journal of Advances in Modeling Earth Systems, 16(10):e2023MS004092, doi:10.1029/2023MS004092.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2024JAMES..1604092S,
author = {{Schulze}, K. and {Kusche}, J. and {Gerdener}, H. and {D{\"o}ll}, P. and {M{\"u}ller Schmied}, H.},
title = "{Benefits and Pitfalls of GRACE and Streamflow Assimilation for Improving the Streamflow Simulations of the WaterGAP Global Hydrology Model}",
journal = {Journal of Advances in Modeling Earth Systems},
keywords = {data assimilation, GRACE, TWSA, WGHM, WaterGAP, streamflow},
year = 2024,
month = oct,
volume = {16},
number = {10},
eid = {e2023MS004092},
pages = {e2023MS004092},
abstract = "{Distribution and change of freshwater resources is often simulated with
global hydrological models. However, owing to process
representation limitations and forcing data uncertainties, these
model simulations have shortcomings. Combining them with
observations via data assimilation, for example, with data from
the Gravity Recovery and Climate Experiment (GRACE) mission or
streamflow measured at in situ stations is considered to improve
the realism of the simulations. We assimilate gridded total
water storage anomaly (TWSA) from GRACE into the WaterGAP Global
Hydrology Model (WGHM) over the Mississippi River basin via an
Ensemble Kalman Filter. Our results agree with previous studies
where assimilating GRACE observations nudges TWSA simulations
closer to the observations, reducing the root mean square error
(RMSE) by 21\% compared to an uncalibrated model. However,
simulations of streamflow show degeneration at more than 90\% of
all gauge stations for metrics such as RMSE and correlations;
only the annual phase of simulated streamflow improves at half
the stations. Therefore, for the first time, we instead
assimilated streamflow observations into the WGHM, which
improved simulated streamflow at up to nearly 80\% of the
stations, with normalized RMSE showing improvements of up to
0.1, while TWSA was well-simulated in all metrics. Combining
both approaches, that is, jointly assimilating GRACE-derived
TWSA and streamflow observations, leads to a trade-off between a
good fit of both variables albeit skewed to the GRACE
observations. Overall, we speculate that our findings point to
limitations of process representation in WGHM hindering
consistent flux simulation from the storage history, especially
in dry regions.}",
doi = {10.1029/2023MS004092},
adsurl = {https://ui.adsabs.harvard.edu/abs/2024JAMES..1604092S},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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