Applications of climate forecast information in water resources management: opportunities and...
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Transcript of Applications of climate forecast information in water resources management: opportunities and...
Applications of climate forecast information in water resources
management: opportunities and challenges in the Yakima R. basin,
WashingtonAndy Wood
Julie VanoShrad Shukla
Anne Steinemann
Civil and Environmental EngineeringUniversity of Washington
NOAA Climate Prediction Application Science Workshop
Chapel Hill, NC, March 2008
CPASW Challenge! Climatologically benign future meeting location?
Using NOAA Climate Forecasts with Hydrological Assessments to Reduce Drought Vulnerabilities and Improve Water Management
http://www.hydro.washington.edu/forecast/sarp/
Project Goals:1) Explore model-based
hydrologic drought indicators as triggers for management: soil moisture, SWE, streamflow(Wood)
2) Interact with water users and managers to integrate climate and hydrologic forecasts in decision-making(Steinemann) http://www.hydro.washington.edu/forecast/sarp/
Motivation• Drought among most costly natural disasters• Drought in Washington agriculture losses more
than $400 million in 2001 and $300 million in 2005
• Climate and hydrologic forecast information helps avoid drought impacts
Photo courtesy of http://www.usbr.gov/dataweb/html/yakima.html
Research Activities (2nd goal)• Explore current uses of
NOAA climate information in water resources management
• Understand user perspectives & decisions and identify service gaps
decisionrequired informationclimate / hydrology
existing forecastinformation success / gap
water allocations forsummer irrigation
on March 1, April-July runoff NRCS/RFC runoff volume forecast
ENSO climatology
+ accurate most years+ easy to understand+ location specific- no monthly disaggregation
set spawning flowlevels; must keepconstant
by Nov 1, Nov-Dec inflow, precipor even just Nov 1-15 precip
CPC medium rangeprecipitation forecast;
CPC seasonalprecipitation forecast
+ shows direction of forecast clearly
- no idea whether they’re any good- probability maps hard to
translate to precip amts.
Linkages between Climate / Hydrologic Information and DecisionsExamples
Overview
• Yakima River Basin hydrology and water use
• Climate-related Decisionmaking
Photo courtesy of http://www.usbr.gov/dataweb/html/yakima.html
Yakima River Basin Hydrology• Elevation 8184 ft to 340 ft
• Temp and precip 22-76F, 80-140 in at 2300 ft90F, 0-10 in at 350 ft 60 - 80% precip in October-March
• Water supply during growing season in lower basin primarily from snowmelt, depends on reservoirs for storage
• Six USBR reservoirs with storage capacity of ~1 million acre-ft, ~25% unregulated runoff
• Managed system vulnerable to drought with increasing water use
and changing snowpack
Climate Prediction CenterThree-Month Outlooks
Climate Division
74
http://www.cpc.ncep.noaa.gov/
- Agriculture-Yakima County 5th in nation Ag production-Higher value crops, less stress tolerant
- Fisheries, spring and fall Chinook salmon, summer Steelhead, Coho salmon
- Hydroelectric, nine power plants
- Public water supply, population growth
Water Use in Yakima Basin
Photos courtesy of http://www.visityakima.com and http://www.wineyakimavalley.org
Interactions with decisionmakers• Attend monthly USBR River Operations
meetings
• Understand how decisions made– people most involved– relevant meetings, reports, other resources
• Understand current water management– Total Water Supply Available
(50%, 100%, 150% of average)– uses of and impressions of forecasts– stigma of past events (eg, 2001, 1977)– major concerns for future
Interactions with decisionmakers
• Primary venue for face-to-face interaction -- the monthly river operations meeting at the USBR Field Office in Yakima, WA.
• Participants include:• forecasters• water managers• irrigation district
managers• fisheries biologists• NRCS
• Typical agenda at right
Water management decisions have diverse climate information needs
• Decision calendar helpful for organizing information (cf work by Andrea Ray, Bonnie Colby) – these vary by decisionmaker
- e.g., Manager vs. Irrigator
• Utility of forecasts (P, T, Q) varies greatly throughout the year
• The following slides give several examples
Spawning Flows vs Reservoir Refill(early November)
Decision (by water manager): fix reservoir outflows to a constant during Nov-Dec so that fish can spawn without redds being flooded or dewatered;but keep as much water in storage so as to maximize future refill chances, up to the point of reducing flood control.
Information needed:- system: current storage volume- hydrologic: system/channel inflows during Nov & Dec; Apr-July- climate: if hydrologic not available, precip during same periods
decisionmade climate info considered
Spawning Flows vs Reservoir Refill(early November)
Information available:- system: current storage volume- hydrologic: Apr-Jul ESP forecasts from RFC (new, not
connected yet); internal regressions- climate: CPC MR forecasts; CPC seasonal outlooks
Gaps:- hydrologic: trusted, timely MR and Apr-Jul forecasts at relevant sites- climate: gap may be smaller than expected
decisionmade climate info considered
Spawning Flows vs Reservoir Refill(early November)
Climate Information Use
Use depends on current situation – in general, if a decision outcome uncertainty range includes adverse consequences, more information is sought.
For example, system storage is a critical factor.
- Storage good – no worries. - Storage low – both MR and seasonal forecasts become “of interest”.
MR forecasts are trusted more, and used as qualitative “tie-breaker”Seasonal forecasts are perused, not really trusted. Seen as “directionally deterministic”.
directional determinism
Decisions may depend on short, medium range and seasonal forecast information at once
The sources of information at different leads are distinct…
but decisionmakers intuitively weight and merge information
An argument for the so-called “seamless suite”!
one event
Yakima system storage
Basin outflow
increasing carryover while preparing to support flows for fish in fall
week-to-week operations in summere.g.
climate/hydrology decision areas
agricultural decisions in winter for irrigation season
Managers: taking an early look at water year, but can’t make public statements until March.
Farmers / irrigators / banks: what to plant, $ from banks, water trading decisions.
climate/hydrology decision areas
Gaps?Climate:CPC/WFOs do have forecast products in the realms that this
USBR needs, and USBR accesses them.
No use of “skill” information intuitive weighting by USBR
Hydrology:RFCs/NRCS have a few flow products that meet USBR needs, but
some connections have not been made.
No use of “skill” information intuitive weighting use of multiple sources to assess
confidence
Accuracy, usefulness, and limitations of forecast information
• Directional Skill: What percentage of time is the forecast in the "right" direction? Above Normal (AN) or Below Normal (BN)
• CPC Seasonal Forecast Climate Division 74, lead time 0.5 month, 1995-2006
• Temp more skillful than precip according to this measure
ObservedAN BN
Fo
rec
as
tB
N
A
N
69% 19%
10% 2%
Temperature
ObservedAN BN
Fo
rec
as
tB
N
A
N
Precipitation
28% 30%
22% 20%
48%71%
use of analogues…an opportunity?analogue “forecast” use is widespread in applications
world.i.e., this year is like …
pros:
no “median” linelots of variabilitycan relate directly to
past experience
cons:
can under-represent variability
hard to combine with ICs
Preliminary Conclusions• NOAA medium range and seasonal climate forecasts
are needed in typical western water management• Users consider NOAA forecasts in decisionmaking
despite a lack of information on their skill• Seasonal forecasts a much greater target of skepticism
than medium range forecasts• “Re-findings”: deterministic interpretations; resolution
(temporal / spatial) too coarse for quantitative use.• opportunities in communication: e.g., analogues,
hidden products
Future Directions• continue to interact and explore matches between
forecast information and management decisions• extend analyses to hydrologic forecasts, hopefully with
participation from NW RFC.
Acknowledgements
COLLABORATORS
- Chris Lynch, US Bureau of Reclamation
- Doug McChesney, WA Dept of Ecology
FUNDING
- NOAA Sector Applications Research Program (SARP)
- University of Washington Presidential Fellowship (Vano)
Questions?
Andy [email protected] [email protected]
Julie [email protected]
Shrad [email protected]
Anne [email protected]