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Published byGordon Miller Modified over 8 years ago
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Climate-Flow Forecast Research Motivations ISI climate predictability is relatively limited in our region (CB) water management in 7 states depends on regional climate and flow forecasts plot -- JFM Precip correlation with Nino 3.4, lag 1 season
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Linkage to Water/Energy Management Average contribution to Lake Powell Apr-Jul inflow: Green River34% Colorado River50% San Juan River13% 2 Reclamation Midterm- Probabilistic Model Stakeholder Allocations Graphic from Dr. Katrina Grantz, Bureau of Reclamation In development… CFS-based flow forecasts for Reclamation water management 2
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3 Example of Experimental Ensembles GFS and/or CFS based ensembles: CBRFC & CNRFC experimental products updated daily GFSCFS Contact: Andy Wood (Andy.Wood@noaa.gov) Flow into Lake Powell
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Partners in Water Management Reclamation Colorado Basin Streamflow Forecasting Research Development Operations CBRFC Academic Researchers Gillies & Wang, USU Troch, UA Piechota, UNLV Moradkani, PSU Rajagopalan, CSU Wolter, CU Others: Becky Smith (student, CSU); Sponsors (CWCB) and Consultant (RTI) SI/Y2 Climate and Streamflow Forecasting Workshop NOAA/NWS Colorado Basin River Forecast Center Salt Lake City, UT – March 21-22, 2011 Organized bySponsored by CBRFC Colorado Water Conservation Board Reclamation NIDIS
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Testbed Data
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Climate-Flow Forecast Needs NWS Hydrology strategy depends on REFORECASTS a decade of experience showing that we must calibrate climate/wx forecasts to our hydrology model input characteristics water management decisions affected by long persistence months to seasons: land surface storages (soil, snow) years: artificial reservoirs, groundwater ISI to multi-year sequences are critical to stakeholders historical analogs are informative – hindcasts serve this purpose too What about downscaling/calibration, skill? hydrologists have been very active efforts by climate forecast producers will be appreciated, but… skill assessments must be tailored to user scales, predictands of interest…probably cannot all be done by NCEP. many users (such as RFCs) may downscale products themselves provide raw forecast-component data as well as semi-calibrated/MM- combination. When data become available, engage with informed users from different sectors to firm up products / services
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