Your search found 9 records
1 Hamlet, A. F.; Lettenmaier, D. P. 1999. Effects of climate change on hydrology and water resources in the Columbia River Basin. Journal of the American Water Resources Association, 35(6):1597-1623.
Climate ; Simulation models ; Hydrology ; Evapotranspiration ; Precipitation ; River basins ; Water resource management ; Stream flow ; Reservoirs ; Dams ; Flood control / USA / Columbia River Basin
(Location: IWMI-HQ Call no: PER Record No: H025775)
2 Miles, E. L.; Snover, A. K.; Hamlet, A. F.; Callahan, B.; Fluharty, D. 2000. Pacific Northwest regional assessment: The impacts of climate variability and climate change on the water resources of the Columbia River Basin. Journal of the American Water Resources Association, 36(2):399-420.
River Basins ; Climate ; Assessment ; Hydrology ; Stream flow ; Water resource management ; Simulation models ; Flood control ; Drought ; Water storage ; Reservoirs ; Conflict ; Water law / USA / Columbia River Basin
(Location: IWMI-HQ Call no: PER Record No: H026476)
3 Cohen, S. J.; Miller, K. A.; Hamlet, A. F.; Avis, W. 2000. Climate change and resource management in the Columbia River Basin. Water International, 25(2):253-272.
Water resource management ; River basin development ; Climate ; Energy ; Fisheries ; Irrigated farming ; Flood control / USA / Columbia River Basin
(Location: IWMI-HQ Call no: PER Record No: H026766)
(0.56 MB)
4 Hann, W. J.; Hemstrom, M. A.; Haynes, R. W.; Clifford, J. L.; Gravenmier, R. A. 2001. Costs and effectiveness of multi-scale integrated management. Forest Ecology and Management, 153:127-145.
(Location: IWMI-HQ Call no: P 6083 Record No: H030676)
5 The Independent Scientific Advisory Board. 2003. Decision support models as tools for developing management strategies: examples from the Columbia River Basin. In Wissmar, R. C.; Bisson, P. A. (Eds.). Strategies for restoring river ecosystems: sources of variability and uncertainty in natural and managed systems. Bethesda, MD, USA: American Fisheries Society. pp.233-242.
Models ; Decision support systems ; River basins ; Case studies ; Salmon / USA / Columbia River Basin
(Location: IWMI-HQ Call no: 333.9162153 G430 WIS Record No: H040918)
6 Bates, B. C.; Kundzewicz, z. w.; Wu, S.; Palutikof, J. P. (Eds.) 2008. Climate change and water. Geneva, Switzerland: Intergovernmental Panel on Climate Change (IPCC) Secretariat. 210p. (IPCC Technical Paper VI)
Climate change ; River basins ; Lakes ; Groundwater ; Hydrology ; Environmental effects ; Precipitation ; Evapotranspiration ; Soil moisture ; Runoff ; Drought ; Water stress ; Ecosystems ; Forests ; Biodiversity ; Wetlands ; Fisheries ; Pastoralism ; Water quality ; Public health ; Water supply ; Sanitation ; Water policy ; Wastewater treatment ; Water resource management / Australia / New Zealand / Europe / Latin America / North America / Africa / Asia / Nepal / Kilimanjaro / Colorado River Basin / Columbia River basin
(Location: IWMI HQ Call no: e-copy only Record No: H041430)
http://www.ipcc.ch/pdf/technical-papers/climate-change-water-en.pdf
https://vlibrary.iwmi.org/pdf/H041430.pdf
https://vlibrary.iwmi.org/pdf/H041430.pdf
7 Sadoff, C.; Yu, W. H. 2009. Benefit sharing in water management and development: a tool for growth and equity. In Chartres, Colin (Ed.). Words into action: delegate publication for the 5th World Water Forum, Istanbul, Turkey, 16-22 March 2009. London, UK: Faircount Media Group. pp.92-96.
River basin management ; Stakeholders ; International waters ; Territorial waters ; International cooperation ; Agreements ; Treaties ; Equity / Senegal / USA / Lesotho / South Africa / Senegal River basin / Columbia River basin
(Location: IWMI HQ Call no: IWMI 333.9162 G635 SAL Record No: H042191)
(0.72 MB)
8 Svendsen, M.; Vermillion, D. 1994. Lessons from management transfer in the Columbia Basin Project, USA. In IIMI; Wuhan University of Hydraulic and Electrical Engineering. International Conference on Irrigation Management Transfer, Wuhan, China, 20-24 September 1994. Draft conference papers. Vol.3. Colombo, Sri Lanka: International Irrigation Management Institute (IIMI); Wuhan, China: Wuhan University of Hydraulic and Electrical Engineering. pp.243-256.
(Location: IWMI-HQ Call no: IWMI 631.7.3 G000 JOH Record No: H043563)
9 Bennett, A.; Nijssen, B.; Ou, G.; Clark, M.; Nearing, G. 2019. Quantifying Process Connectivity With Transfer Entropy in Hydrologic Models. Water Resources Research, 55(6):4613-4629. [doi: https://doi.org/10.1029/2018WR024555]
Hydrology ; Models ; River basins ; Runoff ; Water balance ; Information transfer ; Precipitation ; Mountains / USA / Canada / Columbia River Basin / Snake River / Willamette River / Olympic Mountains / Canadian Rockies
(Location: IWMI HQ Call no: e-copy only Record No: H049255)
(2.36 MB)
Quantifying the behavior and performance of hydrologic models is an important aspect of understanding the underlying hydrologic systems. We argue that classical error measures do not offer a complete picture for building this understanding. This study demonstrates how the information theoretic measure known as transfer entropy can be used to quantify the active transfer of information between hydrologic processes at various timescales and facilitate further understanding of the behavior of these systems. To build a better understanding of the differences in dynamics, we compare model instances of the Structure for Unifying Multiple Modeling Alternatives (SUMMA), the Variable Infiltration Capacity (VIC) model, and the Precipitation Runoff Modeling System (PRMS) across a variety of hydrologic regimes in the Columbia River Basin in the Pacific Northwest of North America. Our results show differences in the runoff of the SUMMA instance compared to the other two models in several of our study locations. In the Snake River region, SUMMA runoff was primarily snowmelt driven, while VIC and PRMS runoff was primarily influenced by precipitation and evapotranspiration. In the Olympic mountains, evapotranspiration interacted with the other water balance variables much differently in PRMS than in VIC and SUMMA. In the Willamette River, all three models had similar process networks at the daily time scale but showed differences in information transfer at the monthly timescale. Additionally, we find that all three models have similar connectivity between evapotranspiration and soil moisture. Analyzing information transfers to runoff at daily and monthly time steps shows how processes can operate on different timescales. By comparing information transfer with correlations, we show how transfer entropy provides a complementary picture of model behavior.
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