Reconciling tracked atmospheric water flows to close the global freshwater cycle

Abstract Atmospheric moisture flows play a vital role in the hydrological cycle, connecting evaporation sources to precipitation sinks. While high-resolution tracking models provide valuable insights, discrepancies arise comparing tracked flows to atmospheric reanalysis data. Here we reconcile tracked atmospheric flows with reanalysis data by means of the Iterative Proportional Fitting applied to the UTrack dataset (averaged over 2008–2017) aggregated within countries and ocean boundaries. It corrects country-scale discrepancies of up to 275% in precipitation and 225% in evaporation, adjusting bilateral flows by ~ 0.07 %, on average. The resulting dataset ensures that the total tracked moisture matches total precipitation at the sink and evaporation at the source annually. Remarkably, this procedure can be applied to any tracking model output and scale of analysis. The reconciled dataset enhances transboundary atmospheric water flows analysis, revealing that 45% of total terrestrial precipitation (~1.5 ⋅ 10 5 km 3 yr −1 ) originates from land evaporation (9.8 ⋅ 10 4 km 3 yr −1 ).

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Publication Details

Journal
Communications Earth & Environment
Published
2025-05-05
DOI
https://doi.org/10.1038/s43247-025-02289-y
Citations
2
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
2.21
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article

Reconciling tracked atmospheric water flows to close the global freshwater cycle

Lauren Seaby Andersen, Marta Tuninetti, Luca Monaco, Luca Ridolfi et al.
2 citations
Communications Earth & Environment
Climate variability and models
2.21
article

Reconciling tracked atmospheric water flows to close the global freshwater cycle

Lauren Seaby Andersen, Marta Tuninetti, Luca Monaco, Luca Ridolfi, Simon Felix Fahrländer, Elena De Petrillo, Francesco Laio
article en
2 citations

Abstract

Abstract Atmospheric moisture flows play a vital role in the hydrological cycle, connecting evaporation sources to precipitation sinks. While high-resolution tracking models provide valuable insights, discrepancies arise comparing tracked flows to atmospheric reanalysis data. Here we reconcile tracked atmospheric flows with reanalysis data by means of the Iterative Proportional Fitting applied to the UTrack dataset (averaged over 2008–2017) aggregated within countries and ocean boundaries. It corrects country-scale discrepancies of up to 275% in precipitation and 225% in evaporation, adjusting bilateral flows by ~ 0.07 %, on average. The resulting dataset ensures that the total tracked moisture matches total precipitation at the sink and evaporation at the source annually. Remarkably, this procedure can be applied to any tracking model output and scale of analysis. The reconciled dataset enhances transboundary atmospheric water flows analysis, revealing that 45% of total terrestrial precipitation (~1.5 ⋅ 10 5 km 3 yr −1 ) originates from land evaporation (9.8 ⋅ 10 4 km 3 yr −1 ).

Communications Earth & EnvironmentVol. 6(1)
University of Potsdam (DE), Politecnico di Torino (IT), Leibniz Association (DE), Potsdam Institute for Climate Impact Research (DE)
Openalex Percentile: Top 14%
Climate variability and models
2.21
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Reconciling tracked atmospheric water flows to close the global freshwater cycle — Lauren Seaby Andersen, Marta Tuninetti, et al. · Communications Earth & Environment (2025) | TGRS Research Map | TGRS