What question did this study set out to answer?

The study aims to evaluate the improvements in land surface models through the comparison with GRACE-based terrestrial water storage data.

Assessing a land surface model's improvements with GRACE estimates

View Full Paper

Ask AI

Bookmark

Authors

Randomized trial evaluates hydrological schemes in land surface models using GRACE data, suggesting enhancements in modeling accuracy.

The study aims to evaluate the improvements in land surface models through the comparison with GRACE-based terrestrial water storage data.
Compared standard and modified versions of the NCAR Community Land Model (CLM) against GRACE estimates of terrestrial water storage changes.
Analyzed soil moisture and snow water variations over large-scale river basins.
Evaluated improvements in modeling evapotranspiration and runoff, particularly in the Amazon River basin.
The modified CLM improved the simulation of terrestrial water storage changes across global river basins.
In high latitudes, the modified CLM showed stronger terrestrial water storage variation compared to GRACE data.
Evapotranspiration modeling was enhanced through improved representations of terrestrial water storage variation and runoff.

Niu et al. (2006) studied this question.

View Full Paper

Ask AI

Bookmark