Articles | Volume 14, issue 1
https://doi.org/10.5194/esd-14-147-2023
https://doi.org/10.5194/esd-14-147-2023
Research article
 | 
08 Feb 2023
Research article |  | 08 Feb 2023

Seasonal forecasting skill for the High Mountain Asia region in the Goddard Earth Observing System

Elias C. Massoud, Lauren Andrews, Rolf Reichle, Andrea Molod, Jongmin Park, Sophie Ruehr, and Manuela Girotto

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Latest update: 01 Jan 2025
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Short summary
In this study, we benchmark the forecast skill of the NASA’s Goddard Earth Observing System subseasonal-to-seasonal (GEOS-S2S version 2) hydrometeorological forecasts in the High Mountain Asia (HMA) region. Hydrometeorological forecast skill is dependent on the forecast lead time, the memory of the variable within the physical system, and the validation dataset used. Overall, these results benchmark the GEOS-S2S system’s ability to forecast HMA hydrometeorology on the seasonal timescale.
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