Monsoon Progression: Expected to reach the Andaman and Nicobar Islands by mid-May and mainland India around June 1, the monsoon covers the country by mid-July. Upcoming Long Range Forecast: The LRF by the IMD, expected in mid-April, will provide more insights, and current predictions suggest...
Scientific Reports(2023) Indian summer monsoon simulations in successive generations of the NCAR Community Atmosphere Model Ravi Kumar Raju Pathak Saroj K. Mishra Theoretical and Applied Climatology(2023) Diagnosing whether the increasing horizontal resolution of regional climate model inevitably capable of ...
The interannual variability of the Asian summer monsoon has significant impacts on Asian society. Advances in climate modelling have enabled us to make useful predictions of the seasonal Asian summer monsoon up to approximately half a year ahead, but lon
Subseasonal predictions of the regional summer rainfall over several tropical Asian ocean and land domains are examined using hindcasts by the NCEP CFSv2. Higher actual and potential forecast skill are found over oceans than over land. The forecast for Arabian Sea (AS) rainfall is most skillful, ...
Wang et al., 2023). The coherence between ASM intensity and solar variability on multidecadal to centennial timescales has previously been recognized in paleoclimate records; accordingly, previous high-resolution paleoclimate studies have suggested TSI as one of the primary controls on Asian monsoon ...
India Govt policies, normal monsoon to boost agro, speciality chemical sector; these stocks to gain up to 15%,A host of factors such as strong demand from the shift in the supply chain from China, favourable go
The ISM is a crucial element of the Asian summer monsoon system [36] and a major source of water vapor for India that is responsible for over 2/3 of the annual precipitation over India [68]. Based on precipitation in Kerala, the southernmost state of the Indian subcontinent, the Indian ...
26 May 2023 VS Vikas S Shetty Ensemble Techniques for Object Detection Models DNN (Deep Neural Network) models are nonlinear and have a high variance, which can be frustrating when preparing a final model for making predictions. In order to get good results with any model, there are certain ...
to humanity as it can help communities to better prepare and plan, which can improve safety and reduce economic losses. A team of researchers from the Chinese Academy of Sciences have conducted a series of model perturbation experiments, producing datasets that can help improve these predictions. ...
to disentangle the combined effects of internal and external factors under different climate states. All of these facilitates a deeper understanding of climate variability and driving mechanisms of the climate system at different time scales, and therefore in turn will improve future predictions. ...