Author:
Vargas Godoy Mijael Rodrigo,Markonis Yannis
Abstract
AbstractClimate reanalyses complement traditional surface-based measurements and offer unprecedented coverage over previously inaccessible or unmonitored regions. Even though these have improved the quantification of the global water cycle, their varying performances and uncertainties limit their applicability. Herein, we discuss how a framework encompassing precipitation, evaporation, their difference, and their sum could further constrain uncertainty by unveiling discrepancies otherwise overlooked. Ahead, we physically define precipitation plus evaporation to describe the global water cycle fluxes in four reanalysis data sets (20CR v3, ERA-20C, ERA5, and NCEP1). Among them, we observe four different responses to the temperature increase between 1950–2010, with ERA5 showing the best agreement with the water cycle acceleration hypothesis. Our results show that implementing the framework proposed can improve the evaluation of reanalyses’ performance and enhance our understanding of the water cycle changes on a global scale.
Funder
Grantová Agentura České Republiky
Publisher
Springer Science and Business Media LLC
Reference44 articles.
1. VargasGodoy, M. R., Markonis, Y., Hanel, M., Kyselý, J. & Papalexiou, S. M. The global water cycle budget: A chronological review. Surv. Geophys. 42, 1075–1107 (2021).
2. Schneider, U. et al. GPCC full data reanalysis version 6.0 at 0.5: Monthly land-surface precipitation from rain-gauges built on GTS-based and historic data. GPCC Data Rep. 10 (2011).
3. Kidd, C. & Huffman, G. Global precipitation measurement. Meteorol. Appl. 18, 334–353 (2011).
4. Pastorello, G. et al. The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data. Sci. Data 7, 225 (2020).
5. Prein, A. F. & Pendergrass, A. G. Can we constrain uncertainty in hydrologic cycle projections?. Geophys. Res. Lett. 46, 3911–3916 (2019).
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