20745 7 110422 2 334430 document 110422 1-s2.0-S2214581825003994-main.pdf application/pdf fcedcef4f56e08268b40705dadce0315 MD5 5119575 2025-07-09 11:48:26 https://pure.iiasa.ac.at/id/eprint/20745/1/1-s2.0-S2214581825003994-main.pdf 20745 1 1 application/pdf text en public cc_by_4

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published 110423 1 334437 document 110423 indexcodes.txt text/plain 99005048fc1edd0090d7b0f4df81306e MD5 17126 2025-07-09 11:57:18 https://pure.iiasa.ac.at/id/eprint/20745/2/indexcodes.txt 20745 2 2 text/plain other Generate index codes conversion from text to indexcodes en public

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/110422 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/110422 http://eprints.org/relation/ismediumThumbnailVersionOf https://pure.iiasa.ac.at/id/document/110422 110427 2 334441 document 110427 small.jpg image/png 2cbf1766d0cd2d32d3b6f6f1e882e06e MD5 1842 2025-07-09 11:58:54 https://pure.iiasa.ac.at/id/eprint/20745/6/small.jpg 20745 6 6 image/png other Thumbnails conversion from text to thumbnail_small en public

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/110422 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/110422 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/110422 archive 2 disk0/00/02/07/45 2025-07-09 11:53:33 2025-07-09 11:53:33 2025-07-09 11:53:33 article show Hinton R. Fridman D. 2301 0000-0003-3908-3571 Smilovic M. 2211 0000-0001-9651-8821 Willaarts B.A. 2156 0000-0001-6589-1543 Chunga B. Banda L. Macleod K. Troldborg M. Kalin R. pub BNR WAT prog_ysp Groundwater; Stakeholder; Water Security; Hydrological Model; Malawi; Remote Sensing Improving our understanding of groundwater resources is essential for effective management and sustainable development. Here, we apply a global hydrological model, the Community Water Model (CWatM, 5 arc minute resolution) with MODFLOW6 (5 km resolution), to gain understanding of Malawi’s understudied groundwater resources. The study applies semi-structured stakeholder interviews to inform simulation of water management in a data scarce context. Model simulation was validated against streamflow data for 35 rivers. Basin-wide scale model validation was undertaken by comparison with remote sensing observations of evapotranspiration, precipitation, and changes in total water storage (using GRACE Satellite data). 2025-08 published doi:10.1016/j.ejrh.2025.102574 3232 3079 2921 public Journal of Hydrology: Regional Studies 60 e102574 1 TRUE 22145818 info:eu-repo/semantics/article