Unprecedented Climate Change in India and a Three-Pronged Method for Reliable Weather and Climate Prediction

Vadlamudi Brahmananda Rao, Karumuri Ashok, Dandu Govardhan

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

India, one of the most disaster-prone countries in the world, has suffered severe economic losses as well as life losses as per the World Focus report.1 More than 80% of its land and more than 50 million of its people are affected by weather disasters. Disaster mitigation necessitates reliable future predictions, which need focused climate change research. From the climate change perspective, the summer monsoon, the main lifeline of India, is predicted to change very adversely. The duration of the rainy season is going to shrink, and pre-monsoon drying can also occur. These future changes can impact the increase of vector-borne diseases, such as malaria, dengue, and others. In another recent study, 29 world experts from various institutions found that the largest exposure to disasters, such as tropical cyclones (TCs), river floods, droughts, and heat waves, is over India. For improved and skillful prediction, we suggest a three-stage cumulative method, namely, K is for observational analysis, U is for knowledge and understanding, and M is for modeling and prediction. In this brief note, we report our perspective of imminent weather disasters to India, namely, monsoons and TCs, and how the weather and climate forecasting can be improved, leading to better climate change adaptation.
Original languageEnglish (US)
JournalFrontiers in Climate
Volume3
DOIs
StatePublished - Nov 15 2021
Externally publishedYes

Bibliographical note

Generated from Scopus record by KAUST IRTS on 2023-09-21

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