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Water Isotope Model Intercomparison Project (WisoMIP): Present-Day Climate

  • Hayoung Bong
  • , Allegra N. LeGrande
  • , Sylvia Dee
  • , Jiang Zhu
  • , Alexandre Cauquoin
  • , Richard P. Fiorella
  • , Qinghua Ding
  • , Niels Dutrievoz
  • , Masahiro Tanoue
  • , Michelle Frazer
  • , Mampi Sarkar
  • , Cécile Agosta
  • , Kei Yoshimura
  • , Martin Werner
  • , Atsushi Okazaki
  • , Camille Risi
  • , Hans Christian Steen-Larsen
  • , Mathieu Casado
  • , Sonja Wahl
  • , Jesse Nusbaumer
  • John Worden, Stephen Good, Adriana Bailey, Matthias Schneider, Stefan Noël, Soumyajit Mandal, Kevin Bowman, Yifan Li, Gavin A. Schmidt
  • NASA Goddard Institute for Space Studies
  • Center for Climate Systems Research
  • Rice University
  • National Center for Atmospheric Research
  • University of Tokyo
  • MST-8, Los Alamos National Laboratory
  • New Mexico Consortium
  • University of California, Santa Barbara
  • UVSQ
  • JMA Meteorological Research Institute
  • Helmholtz Centre for Polar and Marine Sciences
  • Chiba University
  • University of Bergen
  • California Institute of Technology
  • Oregon State University
  • University of Michigan
  • Institute of Meteorology and Climate Research
  • University of Bremen
  • Space Research Organisation Netherlands

Research output: Contribution to journalArticlepeer-review

Abstract

We present the first results of the Water Isotope Model Intercomparison Project (WisoMIP), with Phase 1 focused on modern simulations (1979–2023) from a suite of isotope-enabled atmospheric general circulation models nudged to ERA5 reanalyzes. Water sources, mixing, and rainout history influence the isotopic composition of vapor and precipitation, making these simulations powerful tools for tracing the global water cycle. By prescribing identical winds, sea surface temperatures, and sea ice conditions, we isolate differences in water isotope behavior across models, controlling for variability in atmospheric dynamics and mean climate. Our analyses show that the ensemble mean best matches observations, as individual model errors cancel out to yield a more accurate representation of Earth's isotope distributions. We also evaluate trends and responses to major climate modes during the recent warming period, highlighting regional and temporal sensitivities in the isotope signals. These diagnostics extend beyond traditional model evaluation metrics (e.g., temperature, precipitation) to reveal uncertainties in physical processes and guide improvements in model parameterizations. The resulting modern nudged ensemble data set serves as a benchmark for isotope-enabled model development, satellite product comparison, and understanding of water cycle changes in a warming climate. Given its standardized design and broad participation, WisoMIP provides a valuable “isotope reanalysis” product for applications ranging from paleoclimate reconstruction to model tuning. Our work demonstrates the importance of coordinated isotope model evaluation in advancing the use of water isotopes as a diagnostic tool in climate science.

Original languageEnglish
Article numbere2025JD044985
JournalJournal of Geophysical Research: Atmospheres
Volume131
Issue number3
DOIs
Publication statusPublished - 16 Feb 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • hydrological cycle
  • isotope reanalysis
  • isotope-enabled models
  • model intercomparison
  • nudged simulations
  • water isotopes

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