Climate Prediction Applications Science Workshop Jim Noel Senior Hydrologist NOAA/ National Weather Service Ohio River Forecast Center March 4, 2008 Climate Prediction Applications Science Workshop National Weather Service.

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Transcript Climate Prediction Applications Science Workshop Jim Noel Senior Hydrologist NOAA/ National Weather Service Ohio River Forecast Center March 4, 2008 Climate Prediction Applications Science Workshop National Weather Service.

Climate Prediction
Applications Science Workshop
Jim Noel
Senior Hydrologist
NOAA/ National Weather Service
Ohio River Forecast Center
March 4, 2008
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Climate Prediction Applications Science Workshop
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Outline
• History of Flood Outlooks
• Why change now?
• Ensemble Streamflow Prediction (ESP)
• Climate Forecasts within ESP
• Experimental Water Resources Outlooks
• Expansion of Climate Products – Examples
• Summary
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Climate Prediction Applications Science Workshop
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History
• Based on series of text
products
• Subjective in nature
• Only produced in flood
season
• Not a continuous water
watch for high and low
flows
From Hydrologic Information
Center – April 14, 2006
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Climate Prediction Applications Science Workshop
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Why Change Now?
• Need for continuous water watch
• Need to collaborate with our partners more
• Technology advances allow us to provide
more useful information
• Innovate or dissipate
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Climate Prediction Applications Science Workshop
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Ensemble Streamflow Prediction
• River Forecast Centers
capture soil moisture using
SAC-SMA (Sacramento)
hydrologic soil moisture
accounting model and
capture snow using SNOW17 model
• Good estimations of soil
moisture and snow pack
water contents are critical to
accurate hydrology (RFCs)
and meteorology and
climate (NCEP) forecasts.
• To get good soil moisture
estimations requires good
precipitation inputs
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Ensemble Streamflow Prediction
Manual Calibration Program (MCP)
Operational Forecast System (OFS)
Ensemble Streamflow Prediction (ESP)
MCP
OFS
ESP
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Climate Prediction Applications Science Workshop
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Ensemble Streamflow Prediction
• Ensemble Streamflow
RFC NWSRFS/ESP/Probabilistic
Prediction (ESP) necessary
component used to take short
range deterministic SAC-SMA
model into short term climate
predictions of rivers
• Similar in concept to the
ensembling approach used for
atmospheric modeling
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Ensemble Streamflow Prediction
Multiple streamflow scenarios with historic
meteorological or forecast weather/climatic data
Flow
Possible scenarios
Scenario 2
Scenario 1
Scenario 3
Saved model states
reflect current
conditions
Time
Results used in statistical analysis to produce
forecasts with probabilistic values
©The COMET Program
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Ensemble Streamflow Prediction
Now
Future
Medium chance of
this level flow or
higher
Flow
Past
Low chance of this
level flow or higher
High chance of this
level flow or higher
Time
©The COMET Program
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Climate Forecasts Within ESP
Pre Adjustment Technique
Weight/Modify on Input Side
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Post Adjustment Technique
Weight On Output Side
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Climate Prediction Applications Science Workshop
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Climate Forecasts Within ESP
Historical
MAT and MAP
Adjustment
System
Weather Forecasts
Adjusted Historical
MAP and MAT
Climate Forecasts
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Climate Prediction Applications Science Workshop
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Climate Forecasts Within ESP
Long range seasonal water supply
Spring snowmelt volume forecasts
Spring snowmelt peaks
Minimum flows for navigation, irrigation,
environmental, recreation, etc
Water Resources Outlooks
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Climate Prediction Applications Science Workshop
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Climate Forecasts within ESP
• 90-day probability of
exceedance
• Blue line is an historical
simulation based on
climatology
• Black line is the
conditional simulation
with CPC inputs
• Conditional simulation
based on CPC inputs
yield lower potential for
flooding and high flows.
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Water Resources Outlooks
• Water Resources
Outlook
• Uses NWSRFS SACSMA and ESP
• Uses HPC/CPC
Outlooks
• Can generate a whole
host of products
• An experimental
product of NOAA/NWS
• Being develop for the
30 to 90 day period
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Water Resources Outlooks
• Partner
with
USGS/USACE
• Utilize USGS
streamflow percentiles
• Verify product based on
USGS 28-day mean flows
• Experimental has
ended, waiting for
operational approval
• GOAL: Slowly expand
nationwide
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Water Resources Outlooks
• Based
on basins and
point forecasts
• 159 of 266 OHRFC
points have 30, 60 and 90
day expected
streamflows
• 20 more USGS points
could be used but
incomplete data
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Water Resources Outlooks
30-day Verification
August 2006 through January 2008
• POD above normal flows = 0.78
• FAR above normal flows = 0.30
• POD below normal flows = 0.65
• FAR below normal flows = 0.09
• Percent of forecast basins in correct category = 78%
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Water Resources Outlook
Other Approaches
• Use analog years (year weighting technique
in ESP (Post-Adjustment) based on
atmospheric and oceanic response
(ENSO/NAO etc)
• Run ESP with CPC outlooks and analog
years approach
• Research on this is being done by OHRFC
and hopefully Michigan Tech
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Expansion of Climate Products - Examples
• Probability of reaching flood
stage
• Uses NWSRFS SAC-SMA
and ESP
• Generated at NCRFC for
minor, moderate and major
flooding
• An experimental product of
NOAA/NWS
• Being expanded at other
RFCs
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Expansion of Climate Products - Examples
• Link WRO for each of our
points to probability function
images
• Allow customers to drill
down into the WRO further
• Allow customers to modify
risks based on ENSO as a
starting point
• This work is being driven by
NWS Western Region
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Summary
• Technology (ESP) has advanced to allow subjective
text based flood outlooks to be replaced by a more
objective based water resources outlook
• Climate forecasts are integrated into hydrologic
forecasts mostly through adjustments to the inputs in
the Ensemble Streamflow Prediction
• Water Resources Outlooks would provide a
continuous water watch for streamflows in the 1-90
day period for expected flows
• Water Resources Outlooks would not only be for
high flows but ALL flows
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Summary
• Streamflow categories are based on USGS
percentile categories
• Verification is based on USGS data
• Designed to promote NWS/USGS/COE and help us
and other partners and customers in their missions!
•The climate products can be used in providing
necessary information on flood and drought potential
during the coming months.
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