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Amarnath, Giriraj; Alahacoon, Niranga; Attoh, Emmanuel; Jampani, Mahesh; Panjwani, Shweta; Ghosh, Surajit; Amarasinghe, Upali; Musobani, L.; Melele, V. C.; Ng’andu, T.; Ndiaye, O.; Konte, O.; Sal, N. A.; Gnanatheepan, W. 2023. La plateforme d’Alerte, Action et Finance Précoces (AWARE): promouvoir l’alerte précoce et une réponse efficace aux risques climatiques. In French. [The early warning, early action, early finance (AWARE) platform: promoting early warning of and effective response to climate hazards] Colombo, Sri Lanka: International Water Management Institute (IWMI). CGIAR Initiative on Climate Resilience. 8p. (Also in English)
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Ghosh, Surajit; Mallick, A.; Dawn, A.; De Sarkar, K.; Chowdhury, A.; Kour, S.; Ghosh, A.; Holmatov, Bunyod. 2023. Digital data and tools for managing agriculture: focusing on earth observation data and climate change. Proceedings of the Training Workshop on Digital Data and Tools for Managing Agriculture: Focusing on Earth Observation Data and Climate Change, Bhubaneswar, India, 21-23 December 2023. Colombo, Sri Lanka: International Water Management Institute (IWMI). CGIAR Initiative on Low-Emission Food Systems; CGIAR Initiative on Resilient Cities. 51p.
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  Hasan, Q. M.; Salar, S. G.; Raman, D.; Campbell, S.; Palani, I. Q. 2023. When the law is unclear: challenges and opportunities for data and information exchange in the Tigris-Euphrates and Indus River Basins. Water Policy, 25(8):780-796. [doi]
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Mukuyu, Patience; Lautze, Jonathan; Rieu-Clarke, A.; Saruchera, D.; McCartney, Matthew. 2023. Do needs motivate the exchange of data in transboundary waters? Insights from Africa’s shared basins. Water International, 48(8):915-941. (Special issue: Exploring the Use of Data And Models in Transboundary Water Governance) [doi]
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Koo, J.; Kramer, B.; Langan, Simon; Ghosh, A.; Monsalue, A. G.; Lunt, T. 2022. Digital innovations: using data and technology for sustainable food systems. In International Food Policy Research Institute (IFPRI). 2022 Global food policy report: climate change and food systems. Washington, DC, USA: International Food Policy Research Institute (IFPRI). pp.106-113. (Global Food Policy Report) [doi]
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  United Nations. Inter-agency Task Force on Financing for Development. 2019. Financing for sustainable development report 2019. Report of the Inter-agency Task Force on Financing for Development. New York, NY, USA: United Nations. 208p.
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  Alexandridis, T. K.; Panagopoulos, A.; Galanis, G.; Alexiou, I.; Cherif, I.; Chemin, Yann; Stavrinos, E.; Bilas, G.; Zalidis, G. C. 2014. Combining remotely sensed surface energy fluxes and GIS analysis of groundwater parameters for irrigation system assessment. Irrigation Science, 32(2):127-140. [doi]
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Karimi, Poolad. 2014. Water accounting plus for water resources reporting and river planning. [PhD thesis funded by IWMI through the CGIAR Research Programme on Water Land and Ecosystems] Delft, Netherlands: Delf University of Technology. 158p. [doi]
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Karimi, Poolad. 2014. Water accounting plus for water resources reporting and river planning. [PhD thesis funded by IWMI through the CGIAR Research Programme on Water Land and Ecosystems] Delft, Netherlands: Delf University of Technology. 158p.
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Amarnath, Giriraj; Alahacoon, Niranga; Sharma, Bharat; Smakhtin, Vladimir. 2013. Manual of the Training on Development of Flood Forecasting System for Gash Basin using Hydrological Model System, held at the Hydraulic Research Station (HRS), Kassala, Sudan, 27-29 August 2013. Colombo, Sri Lanka: International Water Management Institute (IWMI). 83p.
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  Bloschl, G.; Sivapalan, M.; Wagener, T.; Viglione, A.; Savenije, H. (Eds.) 2013. Runoff prediction in ungauged basins: synthesis across processes, places and scales. New York, NY, USA: Cambridge University Press. 462p.
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  Karimi, Poolad; Bastiaanssen, W. G. M.; Molden, D.; Cheema, M. J. M. 2013. Basin-wide water accounting based on remote sensing data: an application for the Indus Basin. Hydrology and Earth System Sciences, 17(7):2473-2486. [doi]
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  Kiptala, J. K.; Mohamed, Y.; Mul, Marloes L.; Van der Zaag, P. 2013. Mapping evapotranspiration trends using MODIS and SEBAL model in a data scarce and heterogeneous landscape in eastern Africa. Water Resources Research, 49(12):8495-8510. [doi]
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  Rientjes, T. H. M.; Muthuwatta, Lal P.; Bos, M. G.; Booij, M. J.; Bhatti, H. A. 2013. Multi-variable calibration of a semi-distributed hydrological model using streamflow data and satellite-based evapotranspiration. Journal of Hydrology, 505:276-290. [doi]
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Bartlett, R.; Baker, J.; Lacombe, Guillaume; Douangsavanh, Somphasith; Jeuland, M. 2012. Analyzing economic tradeoffs of water use in the Nam Ngum River Basin, Lao PDR. Durham, NC, USA: Duke University. Nicholas Institute for Environmental Policy Solutions. 37p. (Duke Environmental Economics Working Paper Series)
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  Beven, K. J. 2012. Rainfall-runoff modelling: the primer. 2nd ed. Chichester, UK: John Wiley. 475p.
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Siddiqui, Salman; Bharati, Luna; Pant, Menuka; Gurung, Pabitra; Rakhal, Biplov. 2012. Nepal: building climate resilience of watersheds in mountain eco-regions - climate change and vulnerability mapping in watersheds in middle and high mountains of Nepal. ADB Technical Assistance Consultant's Report for Department of Soil Conservation and Watershed Management (DSCWM), Government of Nepal. Kathmandu, Nepal: Asian Development Bank (ADB). 96p.
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  Karimi, Poolad; Molden, David; Bastiaanssen, W. 2011. Mapping crop water productivity in the Nile Basin through combined use of remote sensing and census data. In ICID. 21st Congress on Irrigation and Drainage: Water Productivity towards Food Security, Tehran, Iran, 15-23 October 2011. New Delhi, India: ICID. pp.137-148. (ICID Transaction No. 30-A)
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  Mukhopadhyay, B.; Singh, V. P. 2011. Hydrological modelling at mesoscopic scales using global data sets to derive stream water availability models of river basins. In Shukla, M. K. (Ed.) Soil hydrology, land use and agriculture: measurement and modelling. Wallingford, UK: CABI. pp.24-74.
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  Nguyen, T. T. H.; De Bie, C. A. J. M.; Ali, A.; Smaling, E. M. A.; Hoanh, Chu Thai. 2011. Mapping the irrigated rice cropping patterns of the Mekong delta, Vietnam, through hyper-temporal SPOT NDVI image analysis. International Journal of Remote Sensing, 33(2):415-434. [doi]
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