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Advancing Climate Services in South Asia: The SARCI Framework for Actionable Climate Information and Regional Capacity Building

Bhuyan, Debi Prasad; Upadhyaya, Pankaj; Pathak, Raju; Namdev, Prabhakar 1; Salunke, Popat; Anand, Abhishek; Suresh, Akhil Dev; Arora, Anirudh; Baraik, Sundeep Kumar; Jain, Shipra; Parihar, Ruchi Singh; Dwivedi, Ashish; Sahany, Sandeep; Sharan, Maithili; Dash, Sushil Kumar; Fasullo, John T.; Behera, Swadhin Kumar; Tribbia, Joseph; Mishra, Saroj Kanta
1 Institut für Meteorologie und Klimaforschung Troposphärenforschung (IMKTRO), Karlsruher Institut für Technologie (KIT)

Abstract:

South Asia, home to over a quarter of the global population, faces escalating climate risks that demand scientifically credible and actionable information. However, existing global climate models exhibit persistent temperature and precipitation biases—variables central to impact assessments—reaching up to 25% and 100% of their mean values, respectively, over this region, thereby limiting their reliability for climate-informed long-term planning. To address these limitations, we introduce the South Asia Regional Climate Information (SARCI) framework—a regionally optimized framework designed to deliver credible, high-fidelity climate information for South Asia. The framework features a customized atmospheric model, based on NCAR CESM/CAM, with targeted improvements in deep convection, land–atmosphere interactions, and gravity wave dynamics—processes linked to major regional biases. These enhancements are guided by empirical understanding of regional climate behavior and refined through rigorous model tuning to achieve regional improvements without compromising global performance. The customized model substantially improves simulations of temperature and precipitation, along with a more realistic representation of regional circulation. ... mehr


Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung Troposphärenforschung (IMKTRO)
Publikationstyp Zeitschriftenaufsatz
Publikationsdatum 01.03.2026
Sprache Englisch
Identifikator ISSN: 0003-0007, 1520-0477
KITopen-ID: 1000192271
Erschienen in Bulletin of the American Meteorological Society
Verlag American Meteorological Society
Band 107
Heft 3
Seiten E564 - E584
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