Your search found 8 records
1 Lee, E. S.; Raju, K. S.; Biere, A. W. 1991. Dynamics irrigation scheduling with stochastic rainfall. Agricultural Water Management, 19(3):253-270.
(Location: IWMI-HQ Call no: PER Record No: H07865)
2 Lee, E. S.; Raju, K. S.; Biere, A. W. 1991. Dynamic irrigation scheduling with stochastic rainfall. Agricultural Water Management, 19(3):253-270.
(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.
Irrigation management ; Performance evaluation ; Strategy planning ; Decision making ; Policy making ; Sensitivity analysis ; Case studies / India / Andhra Pradesh / Sri Ram Sagar Project
(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.
Irrigation systems ; Evaluation ; Planning ; Fertilizers ; Water allocation ; Decision making ; Decision support tools ; Models ; Case studies ; Maintenance costs ; Water quality ; Water use efficiency ; Irrigation efficiency ; Environmental effects / Spain / Huesca / Flumen Monegros
(Location: IWMI-HQ Call no: PER Record No: H028636)
5 Kumar, D. N.; Raju, K. S.; Sathish, T. 2004. River flow forecasting using recurrent neural networks. Water Resources Management, 18(2):143-161.
(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.
Cropping systems ; Linear programming ; Mathematical models ; Irrigation programs ; Planning ; Irrigation requirements ; Reservoir operation / India / Andhra Pradesh / Godavari River / Sri Ram Project
(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.
Irrigation programs ; Irrigation systems ; Case studies ; Irrigation management ; Participatory management ; Farmer participation ; Decision making / India / Andhra Pradesh / Godavari River / Sri Ram Sugar Project
(Location: IWMI-HQ Call no: PER Record No: H037820)
8 Raju, K. S.; Kumar, D. N. 2020. Review of approaches for selection and ensembling of GCMs [Global Climate Models]. Journal of Water and Climate Change, 11(3):577-599. [doi: https://doi.org/10.2166/wcc.2020.128]
Climate change ; Models ; Performance indexes ; Indicators ; Water resources ; Decision making ; Forecasting ; Techniques ; Precipitation ; Uncertainty / Middle East / South Asia / East Asia / South East Asia / Europe / Africa / USA / China / India / Australia / Canada / Iraq / Syrian Arab Republic / Iran Islamic Republic
(Location: IWMI HQ Call no: e-copy only Record No: H049973)
https://iwaponline.com/jwcc/article-pdf/11/3/577/716759/jwc0110577.pdf
https://vlibrary.iwmi.org/pdf/H049973.pdf
https://vlibrary.iwmi.org/pdf/H049973.pdf
(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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