Your search found 8 records
(Location: IWMI-HQ Call no: PER Record No: H07865)
(Location: IWMI-HQ Call no: PER Record No: H010033)
3 Pillai, C. R. S.; Raju, K. S.. 1996. Ranking irrigation management alternatives by multicriterion analysis. International Journal of Water Resources Development, 12(3):329-345.
(Location: IWMI-HQ Call no: PER Record No: H019182)
4 Raju, K. S.; Duckstein, L.; Arondel, C. 2000. Multicriterion analysis for sustainable water resources planning: A case study in Spain. Water Resources Management, 14(6):435-456.
(Location: IWMI-HQ Call no: PER Record No: H028636)
(Location: IWMI-HQ Call no: P 6940 Record No: H035130)
6 Raju, K. S.; Kumar, D. N. 2004. Irrigation planning using genetic algorithms. Water Resources Management, 18(2):163-176.
(Location: IWMI-HQ Call no: P 6941 Record No: H035132)
7 Raju, K. S.; Kumar, D. N. 2005. Fuzzy multicriterion decision making in irrigation planning. Irrigation and Drainage, 54(4):455-465.
(Location: IWMI-HQ Call no: PER Record No: H037820)
(Location: IWMI HQ Call no: e-copy only Record No: H049973)
(0.47 MB) (476 KB)
Global climate models (GCMs) are developed to simulate past climate and produce projections of climate in future. Their roles in ascertaining regional issues and possible solutions in water resources planning/management are appreciated across the world. However, there is substantial uncertainty in the future projections of GCM(s) for practical and regional implementation which has attracted criticism by the water resources planners. The present paper aims at reviewing the selection of GCMs and focusing on performance indicators, ranking of GCMs and ensembling of GCMs and covering different geographical regions. In addition, this paper also proposes future research directions.
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