Evaluating Forecasts in Reservoir Operations: The Role of Reforecast Products in Examining Extremes
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Transcript of Evaluating Forecasts in Reservoir Operations: The Role of Reforecast Products in Examining Extremes
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Department of Civil and Environmental Engineering
Rebecca GuihanDr. Austin Polebitski, Dr. Richard Palmer
February 26, 2014
Evaluating Forecasts in Reservoir Operations: The
Role of Reforecast Products in Examining Extremes
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2Department of Civil and Environmental Engineering
NOAA SARP
When should I plant my
corn? Should I buy crop insurance?
Will our reservoir refill
completely this year?
Should we initiate
flood stage protocol or
not?I have a cool
climate model!
I have a cool hydrology model!
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3Department of Civil and Environmental Engineering
NOAA SARP
When should I plant my
corn? Should I buy crop insurance?
Will our reservoir refill
completely this year?
Should we initiate
flood stage protocol or
not?I have a cool
climate model!
I have a cool hydrology model!
NOAA SARP
![Page 4: Evaluating Forecasts in Reservoir Operations: The Role of Reforecast Products in Examining Extremes](https://reader038.fdocuments.in/reader038/viewer/2022102708/568168aa550346895ddf4a18/html5/thumbnails/4.jpg)
4Department of Civil and Environmental Engineering
NOAA SARP
NOAA SARP
Federal, State, Local
Agencies
End Users
Private/Consulting
Academia/University
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5Department of Civil and Environmental Engineering
Demonstrate the potential usefulness of climate forecasts and create an appropriate framework for their application• Co-generate knowledge concerning system
operations between researchers and water managers
• Generate ESP streamflow using reforecasts at partner locations
• Evaluate skill of GFS and CFSv2 and corresponding streamflow in the context of decision making
• Disseminate data, case studies, and recommendations to the broader water community
Project Goals
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6Department of Civil and Environmental Engineering
Project Partners - Case Studies
Salt Lake CityParley’s System:
Drinking Water, Flood Control
Snohomish County PUDJackson Hydropower System:
Multi-purpose
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7Department of Civil and Environmental Engineering
Project Partners - Case Studies
PacifiCorps Bear Lake:Irrigation Supply, Flood
Control
Dallas Water Utilities System:
Drinking Water
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8Department of Civil and Environmental Engineering
Demonstrate the potential usefulness of climate forecasts and create an appropriate framework for their application• Co-generate knowledge concerning
system operations between researchers and water managers
• Generate ESP streamflow using reforecasts at partner locations
• Evaluate skill of GFS and CFSv2 and corresponding streamflow in the context of decision making
• Disseminate data, case studies, and recommendations to the broader water community
Project Goals
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9Department of Civil and Environmental Engineering
Workshop
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Department of Civil and Environmental Engineering
Partner Hydropower Water Supply Environmental Flows
Dallas None
• Firm yield• Frequency of instituting
voluntary or mandatory restrictions
• Total revenues generated• Minimum storages in reservoirs
None
PacifiCorpBear Lake
• Energy production lost relative to baseline
• Volume of water provided to irrigation
• Annual allocation of water• Accuracy of forecast of water to
be allocated• Irrigation supply lost
None
Salt Lake City • None
• Appropriate storage level at the beginning of water supply season
• Balancing water sources and supplies
• Cannot divert into pipeline until >5 cfs at Lamb’s Diversion
SnoPUD• Mega-watts hours
produced per year,• Total avoided costs
from other purchases
• Annual energy value
• Water provided to Everett• Need to implement
curtailments
• Number of times fish flows are unmet
• Minimizing peak releases that harm fish
• Provide “flushing flows” to move fish down stream
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Department of Civil and Environmental Engineering
Partner Hourly/Daily Weekly Monthly
PacifiCorpBear Lake • None • Flood Control
Decisions
• Flood Control Decisions
• Irrigation Allocations
• Drought
Salt Lake City
• Flood Mitigation
• Flood Mitigation• Drinking Water
Deliveries• Flood Mitigation
SnoPUD • Hydropower Generation
• Channel forming flows
• Drinking Water• Hydropower
Scheduling• Flood Control• Environmental Flows
• Refill/Drafting Rates
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12Department of Civil and Environmental Engineering
Demonstrate the potential usefulness of climate forecasts and create an appropriate framework for their application• Co-generate knowledge concerning system
operations between researchers and water managers
• Generate ESP streamflow using reforecasts at partner locations
• Evaluate skill of GFS and CFSv2 and corresponding streamflow in the context of decision making
• Disseminate data, case studies, and recommendations to the broader water community
Project Goals
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13Department of Civil and Environmental Engineering
Types of Streamflow Forecasts Used
• ESP – Ensemble Streamflow Prediction• HEFS – Hydrologic Ensemble Forecast System
• CFS– Climate Forecast System• GEFS – Global Ensemble Forecast System
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14Department of Civil and Environmental Engineering
Types of Streamflow Forecasts Used
• ESP – Ensemble Streamflow Prediction• HEFS – Hydrologic Ensemble Forecast System
• CFS– Climate Forecast System• GEFS – Global Ensemble Forecast System
Expectation:Variabilitydecreases
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15Department of Civil and Environmental Engineering
Types of Streamflow Forecasts Used
• ESP – Ensemble Streamflow Prediction• HEFS – Hydrologic Ensemble Forecast System
• CFS– Climate Forecast System• GEFS – Global Ensemble Forecast System
Expectation:Variabilitydecreases
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16Department of Civil and Environmental Engineering
CFS Forecast vs. Observed Temperature (°C)
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17Department of Civil and Environmental Engineering
CFS Correlations by Lead Day
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18Department of Civil and Environmental Engineering
Snowpack as a Crude Forecasting Method: SLC
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19Department of Civil and Environmental Engineering
Additional skill when using ESP forecast
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20Department of Civil and Environmental Engineering
Additional skill when using HEFS forecast
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21Department of Civil and Environmental Engineering
HEFS DELL
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22Department of Civil and Environmental Engineering
Means of ESP and HEFS (kaf)
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23Department of Civil and Environmental Engineering
Demonstrate the potential usefulness of climate forecasts and create an appropriate framework for their application• Co-generate knowledge concerning system
operations between researchers and water managers
• Generate ESP streamflow using reforecasts at partner locations
• Evaluate skill of GFS and CFSv2 and corresponding streamflow in the context of decision making
• Disseminate data, case studies, and recommendations to the broader water community
Project Goals
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24Department of Civil and Environmental Engineering
Proof of Concept - Method
Do this for each week, for 52 weeks to determine the benefit of 60 day forecasts.
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25Department of Civil and Environmental Engineering
Proof of Concept - Results
Use DSS to evaluate revenue gains in three hydrologically different years
Compare the use of forecast information against ‘perfect knowledge’
Annual Inflow (AF)
Average Energy Price
Standard Deviation In Energy Prices
2001-2002 697,800 $25.93 $13.442002-2003 522,489 $31.07 $13.292003-2004 554,374 $39.49 $6.70
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26Department of Civil and Environmental Engineering
Proof of Concept - Results
$0
$2,000,000
$4,000,000
$6,000,000
$8,000,000
$10,000,000
$12,000,000
$14,000,000
$16,000,000
$18,000,000
$20,000,000
6/8/2001 7/28/2001 9/16/2001 11/5/2001 12/25/2001 2/13/2002 4/4/2002 5/24/2002 7/13/2002 9/1/2002
Cumulative Avoided Cost From Hydropower Production (2001-2002)
Forecast x 2 PerfS_ForeE ForeS_PerfE Perfect x 2
Actual Avoided Cost Rule of Thumb Optimal
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27Department of Civil and Environmental Engineering
Proof of Concept - Results
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28Department of Civil and Environmental Engineering
Current Operations and Forecast Use
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29Department of Civil and Environmental Engineering
Current Operations and Forecast Use
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30Department of Civil and Environmental Engineering
Incorporating Forecasts
Simulation Model – Stella or R
• Simulates system operations
• Calculates how water is routed through the system
Spada Lake
Jackson Powerhouse
Div ersion Dam
Lake Chaplain
Reach1
Power Tunnel
Pelton to R5
R5 below Powerhouse
Francis to Chaplain
Chaplain to DD
Q1
Reach 34
Reach5
Q2
Q5
Q1 Inflow~
Release to R1
To Ev erett
Q5 Inflow ~
Q4 Inflow
~
Q3
Q2 Inflow~
Q3 Inflow
~
Everett Demand~
Empty Diversion Dam
SPILL
Q4
Chaplain Spill
FINAL Francis Release
DD demand FINAL
R5 Outflow
DD to Chaplain
Backup Supply
Pelton Release FINAL
Power Tunnel FINAL
MODEL!!!
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31Department of Civil and Environmental Engineering
Incorporating ESP Forecasts: Parley’s System
• Operated by Salt Lake
City
• Releases to supply drinking water
• Releases for flood management
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32Department of Civil and Environmental Engineering
Incorporating Forecasts: Salt Lake City
For today’s example:1. ESP traces used as
inflow to the model
2. Static Rule Curve based on the median historic storage determines how releases are made
Reservoir
Storage
Inflows
Releases
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33Department of Civil and Environmental Engineering
Potential Benefits of Using Forecast
Critical Period Concern Value
Low inflow or low pool elevation
Not providing enough water
How much releases should be reduced
High inflows or high pool elevation
Spilling, flooding Chance of spilling, potential peak inflows
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34Department of Civil and Environmental Engineering
ESP DELL
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35Department of Civil and Environmental Engineering
Example of Results: High Flow Year
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36Department of Civil and Environmental Engineering
ESP Streamflow – High Inflow Year
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37Department of Civil and Environmental Engineering
ESP Streamflow – Low Inflow Year
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38Department of Civil and Environmental Engineering
January ESP – Operational Output (af)
Combined Storage
R
eleases
Water Releases
Jan 1
Jan 1
Jan 1
Dec 31
Dec 31
Dec 31
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39Department of Civil and Environmental Engineering
April ESP - Operational Output (af)
Combined Storage
R
eleases
Water Releases
Apr 1
Apr 1
Apr 1
Mar 31
Mar 31
Mar 31
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40Department of Civil and Environmental Engineering
January ESP - Operational Output (af)
Combined Storage
R
eleases
Water Releases
Jan 1
Jan 1
Jan 1
Dec 31
Dec 31
Dec 31
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41Department of Civil and Environmental Engineering
April ESP - Operational Output (af)
Combined Storage
R
eleases
Water Releases
Apr 1
Apr 1
Apr 1
Mar 31
Mar 31
Mar 31
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42Department of Civil and Environmental Engineering
Iterative Process Getting New Tech Into Ops
We’re Research
Hydrologists!
Our new models are awesome, let’s use them!
How come you are not using X at an X frequency?
Floods are our priority
We’re Operational Hydrologists!
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43Department of Civil and Environmental Engineering
Iterative Process Getting New Tech Into Ops
We’re Research
Hydrologists!
Our new models are awesome, let’s use them!
How come you are not using X at an X frequency?
We’re Operational Hydrologists!
NOAA SARP
Floods are our priority
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44Department of Civil and Environmental Engineering
Final Thoughts and Future Work ESP and HEFS/CFSv2 traces applied in
operational framework will provide benefits, • we are finishing evaluating at what scales and for what
decisions, final evaluations completed by September Generating hindcast data for evaluating system
in existing framework is iterative process• generating data, processing through system, trouble
shooting… Matching End User needs (update frequency,
forecast length, etc.) must be priority in beginning of process
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45Department of Civil and Environmental Engineering
Acknowledgements
• NOAA SARP – Nancy Beller-Simms
• Advisors: Dr. Austin Polebitski,
Dr. Richard Palmer
• CBRFC: Kevin Werner, Ashley Nielson
• Dr. Andy Wood
• Case Study Partners: Bruce Meaker, Connely Baldwin, Jeff Niermeyer,
Tracie Kirkham, Denis Qualls
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46Department of Civil and Environmental Engineering
Thank You!
Questions?
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47Department of Civil and Environmental Engineering
Project Goals
• Analyze the quality of climate forecast products,
• Work with study partners to develop ways to use products in reservoir operations.
Water ManagersResearchers
Forecasters
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48Department of Civil and Environmental Engineering
Future Work• Quantitatively compare the results
against perfect forecast information
• Is this a useful seasonal prediction tool?• Does including the GEFS forecast
improve the regular ESP forecast?• What benefits do CFS model provide?
CONCLUSION: Preliminary analysis of these data suggest that climatological skill between the ESP and CFS are similar. More work is needed as the data are still very new.
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49Department of Civil and Environmental Engineering
Example of Results: High Flow Year
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50Department of Civil and Environmental Engineering
Example of Results: High Flow Year
*9/30 expected releases would exceed 1500 cfs for an average of 19 days
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51Department of Civil and Environmental Engineering
ESP LAMB
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52Department of Civil and Environmental Engineering
HEFS LAMB
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53Department of Civil and Environmental Engineering
ESP DELL
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54Department of Civil and Environmental Engineering
Example of Results: High Flow Year
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55Department of Civil and Environmental Engineering
Example of Results: High Flow Year
Max Storage
Min Storage
Target Range
Critical Flood Threshold
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56Department of Civil and Environmental Engineering
Example of Results: Low Flow Year
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57Department of Civil and Environmental Engineering
Example of Results: High Flow Year
Max Storage
Min Storage
Target Range
Critical Flood Threshold