Following Artificial intelligence (AI) algorithms and models will be used to improve the forecast accuracy:

• Random forest model to Predict Extreme Rainfall Events
• Neural Network based models (e.g., Convolutional Neural Network-CNN, super-resolution CNN-srCNN, generative adversarial network-GAN, etc.) to downscale the model output to higher resolutions
• The above-mentioned Neural Network algorithms will also be used for improving various parameterizations, such as cumulus, radiation, land-surface, etc., in Numerical Weather Prediction Models
• AI/ML methods will be also used to efficiently manage the vast amount of varied meteorological data and enhance the data assimilation capabilities

Apart from the above-mentioned hybrid AI/ML techniques, following fully AI-based forecast models such as Fourcastnet, Graphcast and Pangu weather are also being trained to improve forecast accuracy over the Indian region.

The data from Mission Mausam will also be made available to the research community.

The India Meteorological Department (IMD) provides agrometeorological advisories twice a week in collaboration with the Indian Council for Agricultural Research (ICAR), and it will be continued.

This information was given by Union Minister of State (Independent Charge) for Science & Technology and Earth Sciences, Dr. Jitendra Singh in a written reply in the Rajya Sabha today.

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NKR/KS

(Release ID: 2083680)