Investigating sources of variability in closing the terrestrial water balance with remote sensing

Michailovsky, Claire I.; Coerver, Bert; Mul, Marloes; Jewitt, Graham

doi:https://doi.org/10.5194/hess-27-4335-2023

Articles | Volume 27, issue 23

https://doi.org/10.5194/hess-27-4335-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-27-4335-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 27, issue 23

Research article

|

11 Dec 2023

Research article |

| 11 Dec 2023

Investigating sources of variability in closing the terrestrial water balance with remote sensing

Claire I. Michailovsky, Bert Coerver, Marloes Mul, and Graham Jewitt

Model code and software

Python Code: Investigating sources of variability in closing the terrestrial water balance with remote sensing B. Coerver and C. I. Michailovsky https://doi.org/10.5281/zenodo.8318720

Short summary

Many remote sensing products for precipitation, evapotranspiration, and water storage variations exist. However, when these are used with in situ runoff data in water balance closure studies, no single combination of products consistently outperforms others. We analyzed the water balance closure using different products in catchments worldwide and related the results to catchment characteristics. Our results can help identify the dataset combinations best suited for use in different catchments.