1 what’s a risa and why do fish care? august 28, 2006 boulder, co robert s. webb physical science...
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What’s a RISA and why do fish care?
August 28, 2006Boulder, CO
Robert S. WebbPhysical Science DivisionEarth System Research LaboratoryNOAA OAR
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RISA = Regional Integrated Sciences and Assessments
RISA = Regional Integrated Sciences and Assessments
Funded by NOAA Climate Program Office (formerly Office of Global Programs )
Created mid 1990s to connect regional decision making with newly available climate information
Enable NOAA to learn about how to create a National Climate Service
Operate at all time scales: past, present, future
Generally ‘climate’, not ‘weather’, centric
At universities with strong climate programs
Interact with NOAA Climate Offices and Laboratories
Interdisciplinary Teams
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RISA Mission, Tools, TechniquesRISA Mission, Tools, Techniques
Typical Mission: Increase regional resilience to climate variability and change
Tools and Techniques• Sustained stakeholder interaction• Usable applied research• Outreach and Education
– Synthesis Studies– Clearinghouse for Contacts, Information
• Decision Support Tools– Forecasts– Reconstructions and Projections of Climate– Ecosystem Management – Regional Climate Summaries
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8 NOAA Regional Integrated Sciences and Assessments (“RISA”) Programs8 NOAA Regional Integrated Sciences and Assessments (“RISA”) Programs
http://www.climate.noaa.gov/cpo_pa/risa/
4 Programs in the West
6 of the 8 RISAs deal with climate and coastal issues
‘Building Bridges Between Climate Science and Society’
Regional Focused, All Time Scales
Not normal science! – ‘co-production of knowledge’
RISAs want and need stakeholder involvement
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CIG: Climate Change, Salmon Recovery
CAP: Snowpack, runoff, CALFED Bay-Delta
WWA: Natural Peal Flow Hydrograph, Colorado EIS
ACCAP: Sea Ice and Marine Ecosystems
SECC: Water quality, Everglades Agricultural Area
CISA: Coastal Climate Extension, sustainability
Pacific: Climate impacts on fisheries coastal resource management, coral reefs, agriculture and tourism
FISHY RISA ProjectsFISHY RISA Projects
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CIG case study: evolution of climate information for salmon managementCIG case study: evolution of climate information for salmon management
A fishery oceanography study identifies a climate impactclimate impact• Climate variability explains a large fraction of the space-
time variations in 20th Century Pacific salmon catches (and presumably abundance)
CIG (Hare, Mantua, Francis) promote the use of climate information for salmon management by describing the research results at meetings and workshops … yet no managers want to use our results!
• The response from fishery management staff: “Your work is interesting, but it doesn’t suit our needs”
CIG partners with a NOAA fisheries scientist involved in salmon management to develop a forecast tool they can use
• In the process, we learn how to match the space-time scales of climate information with those of salmon management
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A North-South see-saw in salmon production
A North-South see-saw in salmon production
Warm PDO Cool PDO Warm PDO ???Cool PDO
Sp
rin
g ch
inoo
k r
etu
rns
to t
he
Col
um
bia
Riv
er m
outh
(1
000s
)
Alask
a pin
k an
d sock
eye catch
(million
s)
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Scale of research vs. scale of decisions
Scale of research vs. scale of decisions
PDO impacts on salmon across the North Pacific: large regional scales, multi-year fluctuations
Annual stock specific management decisions
Research identifies the links between climate and North-South pattern of
salmon production
Annual management
decisions made on a stock by stock (river by river)
basis
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Forecasting Oregon Coho Salmon Returns using climate observations and SST forecasts
Forecasting Oregon Coho Salmon Returns using climate observations and SST forecasts
Coastal Ocean Conditions
Sea surface temperatures
Sea level
Nearshore winds
Oregon coho
salmon survival
SpringFall Winter Summer
Jack returns
Harvest & allocation
decisions (February) FisheryRun-size forecast
-using obs’d conditionsRun-size forecast (using SST forecast)
Plankton surveys
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Impacts of Climate Change on Salmon Recovery in the Snohomish River
Impacts of Climate Change on Salmon Recovery in the Snohomish River
However, Climate Change will make salmon restoration more difficult:
• Decreasing Summer Low Flows
• Increasing Winter Peak Flows
• Increasing water temperatures in critical periods
Decreasing Spawning Flows
Increasing Winter Flows
Habitat restoration can mitigate the negative impacts of Climate Change on salmon habitat
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WWA Case study: Critical water problem in the Colorado River
WWA Case study: Critical water problem in the Colorado River
Ecosystems • Federal reserved rights for the
Black Canyon of the Gunnison• Upper Colorado Recovery Implementation
Program for Endangered Fish• Other instream flow requirements
Salinity/Water quality• Salinity Control Act implementation
and mitigation of water quality problems from agricultural return flows
Equity• Indian Water Rights, reserved when
reservations were established • Livelihoods and cultures of ranching and farming on the west slope
Competition among uses• Transmountain water diversions• Agriculture vs. urban uses• Recreation and amenity instream uses vs consumptive uses,
including rafting industry, hiking and hunting tourism
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Pitl
ick
and
Van
Ste
eter
(19
97)
A climate-sensitive issue is how to provide spring peak flows and late summer minimum in stream flows to support the recovery of of endangered fish.
This changing policy environment is forcing a “release” of past constraints on reservoir management, and a “reorganization” phase that is in progress
Opportunity: Reservoir managers are seeking new tools to help in a more complicated job, and thus open to using climate information; as well as other types of information and tools
Problem and User: Reservoir Management
Colorado Pike Minnow
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25
10
15
20
5May June July
threshold for habitatbuilding flows ~12.7 CFS
Flo
w (
cub
ic f
eet
/ sec
on
d)
April AugustNatural Average(pre 1950)
Empounded Average(post 1950)
Single Subthreshold Peak
Double Subthreshold Peaks
Practically No Peak
Habitat Threshold
Spring Peak Flow Scenariosx1
000
x1000
1414
latesummer
Feb. 1early flowforecasts
April 1start of
filltarget
late May tomid June
PeakAugmentation
Period
earlyJuly
fill date
reservoir capacity
Res
ervo
ir H
ydro
grap
h(v
olum
e in
acr
e/fe
et)
spill and flood
miss fillingto capacity
bypassflow
Their Challenge Our Problem Orientation
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The NOAA long lead precipitation and temperature forecasts can be incorporated into a Fall forecast of winter snowpack accumulation and with implications for subsequent April-June runoff
An improved understanding of ENSO influences on seasonal evolution of snowpack that can lead to more accurately planned “start of fill” target
By late Spring, the NOAA long lead precipitation and temperature forecasts can be incorporated into summer season forecast irrigation demands
Throughout the Spring -- one to two week precipitation and temperature forecasts can be used to provide improved estimates of of volume and timing of spring peak flows needed to augment peak flows for habitat restoration as well as to enhance flood mitigation operations
Throughout the Summer -- one to two week precipitation and temperature forecasts to improve both hydropower generation, irrigation scheduling, and low flow mitigation
Entry Points for Climate InformationEntry Points for Climate Information
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Decision Calendar Framework Decision Calendar Framework
Hydropower Decision Calendars
Oct
Planning
data
decisions
tion planning
gmentationreleases
Municipal & Industrial Decision Calendars
Oct
Planning
data
decisions
tion planning
gmentationreleases
Aquatic Ecosystems Decision Calendars
Oct
Planning
data
decisions
tion planning
gmentationreleases
Outdoor Recreation Decision Calendars
Oct
Planning
data
decisions
tion planning
gmentationreleases
Agriculture Production Decision Calendars
Oct
Planning
data
decisions
tion planning
gmentationreleases
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Challenges in Incorporating Climate Science Research in
Decision making
Challenges in Incorporating Climate Science Research in
Decision making
Factor Water Manager’s Perspective Researcher’s Perspective
Identifying critical issue
Time frame
Spatial resolution
Goals
Basis for Decisions
Expectation
Product Characteristics
Frame
Nature of Use Applied(aka Terry Fulp)
Conceptual(aka Marty Hoerling)