Articles | Volume 24, issue 4
https://doi.org/10.5194/hess-24-1763-2020
https://doi.org/10.5194/hess-24-1763-2020
Research article
 | 
09 Apr 2020
Research article |  | 09 Apr 2020

Using Gravity Recovery and Climate Experiment data to derive corrections to precipitation data sets and improve modelled snow mass at high latitudes

Emma L. Robinson and Douglas B. Clark

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Latest update: 14 Dec 2024
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Short summary
This study used a water balance approach based on GRACE total water storage to infer the amount of cold-season precipitation in four Arctic river basins. This was used to evaluate four gridded meteorological data sets, which were used as inputs to a land surface model. We found that the cold-season precipitation in these data sets needed to be increased by up to 55 %. Using these higher precipitation inputs improved the model representation of Arctic hydrology, particularly lying snow.