Water and energy budgets over hydrological basins on short and long timescales

Petch, S., Dong, B., Quaife, T. ORCID: https://orcid.org/0000-0001-6896-4613, King, R. P. and Haines, K. ORCID: https://orcid.org/0000-0003-2768-2374 (2023) Water and energy budgets over hydrological basins on short and long timescales. Hydrology and Earth System Sciences, 27 (9). pp. 1723-1744. ISSN 1607-7938 doi: 10.5194/hess-27-1723-2023

Abstract/Summary

Quantifying regional water and energy fluxes much more accurately from observations is essential for assessing the capability of climate and Earth system models, and their ability to simulate future change. This study uses satellite observations to produce monthly flux estimates for each component of the terrestrial water and energy budget over selected large river basins from 2002 to 2013. Prior to optimisation the water budget residuals vary between 1.5 % and 35 % of precipitation by basin, and the magnitude of the imbalance between the net radiation and the corresponding turbulent heat fluxes ranges between 1 Wm−2 and 12 Wm−2 in the long-term average. In order to further assess these imbalances, a flux-inferred surface storage (Sf i) is used for both water and energy, based on integrating the flux observations. This exposes mismatches in seasonal water storage as well as important interannual variability between GRACE and the storage suggested by the other flux observations. Quantifying regional water and energy fluxes much more accurately from observations is essential for improving climate and earth system models, and their ability to simulate future change. This study uses satellite observations to produce monthly flux estimates for each component of the terrestrial water and energy budget over selected large river basins from 2002 to 2013. Prior to optimisation the water budget residuals vary between 1.5 % and 35 % of precipitation by basin, and the imbalance between the net radiation and the corresponding turbulent heat fluxes ranges between ± 10 Wm−2 in the long term average. In order to further assess these imbalances, a flux-inferred surface storage (FIS) is used for both water and energy, based on integrating the flux observations. This exposes mismatches in seasonal water storage as well as important interannual variability.

Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/111607
Identification Number/DOI	10.5194/hess-27-1723-2023
Refereed	Yes
Divisions	Science > School of Mathematical, Physical and Computational Sciences > National Centre for Earth Observation (NCEO) Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
Publisher	European Geosciences Union
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