Your search found 4 records
1 Weiler, K.; Walter, M. T.; Walter, M. F.; Brooks, E. S.; Scott, C. A. 2000. Seasonal risk analysis for floodplains in the Delaware River Basin. Journal of Water Resources Planning and Management, 126(5):320-329.
Flood plains ; Hydrology ; Risks ; River basins ; Runoff ; Water pollution ; Flood water ; Catchment areas / USA / New York / Delaware River Basin / Catskill Mountains
(Location: IWMI-HQ Call no: PER Record No: H026639)
(0.90 MB)
2 Norman, W. R.; Walter, M. T.; Walter, M. F.; Brooks, E. S. 2000. Water distribution management in small West African canal systems. Journal of Irrigation and Drainage Engineering, 126(5):304-313.
Irrigation management ; Participatory management ; Water distribution ; Monitoring ; Irrigation canals ; Farmer managed irrigation systems ; Irrigation scheduling ; Water availability ; Water delivery / West Africa / Niger / Sahel / Moullela / Galmi
(Location: IWMI-HQ Call no: PER Record No: H026876)
3 Kendy, E.; Gérard-Marchant, P.; Walter, M. T.; Zhang, Y.; Liu, C.; Steenhuis, T. S. 2003. A soil-water-balance approach to quantify groundwater recharge from irrigated cropland in the North China Plain. Hydrological Processes, 17:2011-2031.
Models ; Soil water ; Water balance ; Aquifers ; Groundwater ; Recharge ; Soil moisture ; Infiltration water ; Evapotranspiration ; Irrigation water ; Drainage / China
(Location: IWMI-HQ Call no: P 6866 Record No: H034720)
4 Fuka, D. R.; Walter, M. T.; MacAlister, C.; Degaetano, A. T.; Steenhuis, T. S.; Easton, Z. M. 2013. Using the climate forecast system reanalysis as weather input data for watershed models. Hydrological Processes, 11p. (Online first). [doi: https://doi.org/10.1002/hyp.10073]
(Location: IWMI HQ Call no: e-copy only Record No: H046177)
(1.31 MB)
Obtaining representative meteorological data for watershed-scale hydrological modelling can be difficult and time consuming. Land-based weather stations do not always adequately represent the weather occurring over a watershed, because they can be far from the watershed of interest and can have gaps in their data series, or recent data are not available. This study presents a method for using the Climate Forecast System Reanalysis (CFSR) global meteorological dataset to obtain historical weather data and demonstrates the application to modelling five watersheds representing different hydroclimate regimes. CFSR data are available globally for each hour since 1979 at a 38-km resolution. Results show that utilizing the CFSR precipitation and temperature data to force a watershed model provides stream discharge simulations that are as good as or better than models forced using traditional weather gauging stations, especially when stations are more than 10km from the watershed. These results further demonstrate that adding CFSR data to the suite of watershed modelling tools provides new opportunities for meeting the challenges of modelling un-gauged watersheds and advancing real-time hydrological modelling.
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