July 30, 2025Open Access

Comparative Evaluation of Short Range Extreme Rainfall Forecast by Two High Resolution Global Models

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Authors

TGTanmoy GoswamiIndian Institute of Tropical Meteorology SKSeshagiri Rao KolusuMet Office MGMalay GanaiIndian Institute of Tropical Meteorology

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Implication

Comparative evaluation reveals how two weather models differ in predicting extreme rainfall events in India, suggesting improvements for forecasting accuracy.

Key Points

GFS T1534 and MOGREPS-G models were evaluated for their extreme rainfall forecasting accuracy in India.
Both models underestimated rainfall averages and variability, impacting effective disaster management.
GFS T1534 exhibited moderate skill in detection but struggled with high false alarms and biases in predictions.
MOGREPS-G performed better at shorter lead times but had issues with over-forecasting, especially after 24 hours.

Cite This Study

Goswami et al. (2025) studied this question.

synapsesocial.com/papers/689a0945e6551bb0af8cf021 https://doi.org/10.20944/preprints202507.2287.v1

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Implication

Comparative evaluation reveals how two weather models differ in predicting extreme rainfall events in India, suggesting improvements for forecasting accuracy.

Comparative Evaluation of Short Range Extreme Rainfall Forecast by Two High Resolution Global Models

Discussion

Member takes

Implication

Key Points

Cite This Study

Comparative Evaluation of Short Range Extreme Rainfall Forecast by Two High Resolution Global Models

Discussion

Member takes

Implication

Key Points

Cite This Study

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