Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Bhuyan, Debi Prasad; Upadhyaya, Pankaj; Pathak, Raju; Namdev, Prabhakar; 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 Title A name given to the resource Advancing Climate Services in South Asia: The SARCI Framework for Actionable Climate Information and Regional Capacity Building Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Bulletin of the American Meteorological Society;Volume;107;Issue;3;pp.E564-E584 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1175/BAMS-D-25-0172.1" target="_blank" rel="noreferrer noopener">https://doi.org/10.1175/BAMS-D-25-0172.1</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105033777831?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105033777831?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Bhuyan D.P., IIT Delhi, New Delhi, India; Upadhyaya P., IIT Delhi, New Delhi, India; Pathak R., IIT Delhi, New Delhi, India, Nanyang Technological University, Singapore, Singapore; Namdev P., IIT Delhi, New Delhi, India, Karlsruhe Institute of Technology, Karlsruhe, Germany; Salunke P., IIT Delhi, New Delhi, India, Massachusetts Institute of Technology, Cambridge, MA, United States; Anand A., IIT Delhi, New Delhi, India, India Meteorological Department, Kolkata, India; Suresh A.D., IIT Delhi, New Delhi, India; Arora A., IIT Delhi, New Delhi, India, Indian Institute of Science Education and Research Bhopal, Bhopal, India; Baraik S.K., IIT Delhi, New Delhi, India; Jain S., IIT Delhi, New Delhi, India, University College London, London, United Kingdom; Parihar R.S., IIT Delhi, New Delhi, India, Christ University, Bengaluru, India, Institute for Basic Science Center for Climate Physics, Daejeon, South Korea; Dwivedi A., IIT Delhi, New Delhi, India; Sahany S., IIT Delhi, New Delhi, India, Centre for Climate Research Singapore, Singapore, Singapore; Sharan M., IIT Delhi, New Delhi, India; Dash S.K., IIT Delhi, New Delhi, India; Fasullo J.T., National Center for Atmospheric Research, Boulder, CO, United States; Behera S.K., Japan Agency for Marine-Earth Science and Technology, Yokosuka, Japan; Tribbia J., National Center for Atmospheric Research, Boulder, CO, United States; Mishra S.K., IIT Delhi, New Delhi, India Description An account of the resource 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 biasesvariables central to impact assessmentsreaching 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) frameworka 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, landatmosphere interactions, and gravity wave dynamicsprocesses 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. The framework further incorporates a synthesized lower-boundary forcing component derived from skill-based CMIP models, adjusted to reduce biases in its low-frequency variability. A statistical downscaling module then refines the projections to a quarter-degree resolution, providing fine-scale, policy-relevant regional climate information. The SARCI framework demonstrates how regional optimization, coproduction, and institutional capacity building can deliver credible, policy-relevant climate information for South Asia, with broader relevance for other regions of the Global South facing similar challenges. 2026 American Meteorological Society. Subject The topic of the resource Climate change; Climate models; Climate services; Model evaluation/ performance; Parameterization Publisher An entity responsible for making the resource available American Meteorological Society Relation A related resource ISSN: 30007; CODEN: BAMIA Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online