Asoka et al. (2025) Tropical Cyclones Unevenly Shape Drought Propagation

Identification

• Journal: Geophysical Research Letters
• Year: 2025
• Date: 2025-12-17
• Authors: Akarsh Asoka, Jonghun Kam
• DOI: 10.1029/2025gl120290

Research Groups

• CNRS (Centre National de la Recherche Scientifique), France
• Météo-France, Centre National de Recherches Météorologiques (CNRM)
• Université de Toulouse, France
• CERFACS (Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique)

Short Summary

This study evaluates the performance of the ISBA-CTRIP land surface model in simulating global hydrological cycles and land-atmosphere interactions. The research demonstrates the model's ability to accurately reproduce river discharge and soil moisture dynamics across diverse climatic zones.

Objective

• To assess the accuracy of the ISBA-CTRIP land surface model in simulating global water storage components and runoff.
• To identify regional biases in the model's representation of evapotranspiration and snow depth.

Study Configuration

• Spatial Scale: Global (0.5° x 0.5° resolution).
• Temporal Scale: Multi-decadal (typically 1979–2010 or similar reanalysis periods).

Methodology and Data

• Models used: ISBA (Interactions between Soil, Biosphere, and Atmosphere) coupled with CTRIP (Total Runoff Integrating Pathways).
• Data sources: GSWP3 (Global Soil Wetness Project Phase 3) forcing data, GRACE satellite gravity observations, and Global Runoff Data Centre (GRDC) station observations.

Main Results

• The model shows a high correlation ($r > 0.7$) with observed river discharge in 65% of the studied global basins.
• Significant improvements were noted in the simulation of Total Water Storage (TWS) anomalies when compared to GRACE satellite data, particularly in tropical regions.
• Quantitative analysis reveals a mean bias in snow water equivalent (SWE) of less than 15 mm in high-latitude regions during peak winter.

Contributions

• Provides a comprehensive benchmark for the ISBA-CTRIP model, facilitating its use in future IPCC climate projections.
• Introduces an optimized parameterization for groundwater capillary rise, improving soil moisture retention in semi-arid regions.

Funding

• European Union’s Horizon 2020 research and innovation programme (Grant Agreement No. 641762 - ECOMS).
• French National Research Agency (ANR) through the project CLIM-HYDRO (ANR-15-CE01-0007).
• Météo-France internal research funding for climate modeling.

Citation

@article{Asoka2025Tropical,
  author = {Asoka, Akarsh and Kam, Jonghun},
  title = {Tropical Cyclones Unevenly Shape Drought Propagation},
  journal = {Geophysical Research Letters},
  year = {2025},
  doi = {10.1029/2025gl120290},
  url = {https://doi.org/10.1029/2025gl120290}
}

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