The impending cutoff of crucial microwave satellite imagery underscores how dependent forecasting systems can become on specialized data sources. India’s own meteorological efforts rely heavily on multispectral satellite technology for accurate weather predictions over vast geographies characterized by unpredictable monsoons and cyclonic events. This development indirectly highlights a vulnerability: when any critical dataset is disrupted or restricted due to external factors like security concerns or budgetary limitations.For India-a nation frequently affected by tropical cyclones-prioritizing redundant systems capable of capturing similar high-resolution imaging might mitigate risks associated with reliance on limited resources. Moreover, learning from global experiences such as this emphasizes the need to safeguard accessibility and open collaboration between nations’ meteorological agencies amidst growing climatic uncertainties worldwide.
If similar constraints were faced domestically due to geopolitical restrictions or technical outages on shared datasets within regional agreements like SAARC’s Disaster Management Center cooperation framework-it could seriously hamper disaster preparedness across South Asia.Read More