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Opportunities for Remote Sensing in Hydrologic Prediction and Water Management in the Pacific Northw

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Remotely sensed estimates of 24 hour ET for the Bear River Basin ... Probability of slope failure before and after Fourth of July Fire. Icicle Creek Vegetation ... – PowerPoint PPT presentation

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Title: Opportunities for Remote Sensing in Hydrologic Prediction and Water Management in the Pacific Northw


1
Opportunities for Remote Sensing in Hydrologic
Prediction and Water Management in the Pacific
Northwest
  • Dennis P. Lettenmaier
  • Department of Civil and Environmental Engineering
  • University of Washington
  • Pacific Northwest Regional Remote Sensing
    Collaboratory Workshop
  • Seattle
  • January 21, 2003

2
Regional (continental watershed) scale
hydrological modeling and prediction
3
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4
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5
Study Area Selection
Study areas Columbia River Basin Missouri River
Basin
Basins characterized by Importance of
Snow Highly regulated river flows
6
Observation Point Locations
7
March 30, 2000
April 7, 2000
8
April 24, 2000
May 1, 2000
9
Pixel-by-Pixel Comparisons
Classification grid
Error of Omission
Error of Commission
10
Overview of ColSim Reservoir Model
Reservoir Operating Policies
Reservoir Storage Regulated Streamflow Flood
Control Energy Production Irrigation
Consumption Streamflow Augmentation
Physical System of Dams and Reservoirs
Streamflow Time Series
11
Dam Operations in ColSim
Storage Dams
Virgin
Regulated
Run-of-River Dams
Flow InFlow out Energy
H
12
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13
IDWR Internet Map Server Showing Cumulative ET
for 2000 in the Eastern Snake River Plain Based
on SEBAL remote sensing product http//maps.idwr.
state.id.us/espa_et/viewer.htm
14
Remotely sensed estimates of 24 hour ET for the
Bear River Basin in Idaho, Utah,Wyoming from
SEBAL http//www.idwr.state.id.us/gisdata/ET/p
reliminary_results.htm
15
Long-Range Streamflow Forecasting
16
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17
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18
Local (catchment) scale hydrological modeling and
prediction
19
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20
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21
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22
DHSVM Snow Accumulation and Melt Model
23
Land surface characterization required by DHSVM
  • Terrain - 150 m. aggregated from 10 m.
    resolution DEM
  • Land Cover - 19 classes aggregated from over 200
    GAP classes
  • Soils - 3 layers aggregated from 13 layers (31
    different classes) variable soil depth from 1-3
    meters
  • Stream Network - based on 0.25 km2 source area

24
Overview of high resolution mesoscale atmospheric
prediction models
Initialization and boundary conditions from
global simulations
Vertical grid spacing (37 layers)
Detail of 4 km high resolution nest over
Washington State
Horizontal grid spacing
Boundary conditions
Horizontal grid spacing
25
DHSVM Calibration (Snoqualmie at Carnation)
Flood of record
  • Principal calibration locations were the
    Skykomish at Gold Bar and the Snoqualmie at
    Carnation

26
Validation Results Rex River inflow to Chester
Morse Lake
6 year total inflow
Cubic Feet
Nov 1995 to Feb 1996 3 hour Predicted Daily
Observed
CFS
60 day total volume Predicted Observed
Cubic Feet
13.4 mi2
27
2000/2001 Real-time Streamflow Forecast
System 26 basins 48,896 km2 2,173,155
pixels _at_ 150 m resolution
http//hydromet.atmos.washington.edu
28
Forest Harvest and Road ConstructionHard and
Ware Creeks, WA
29
SWE difference for February 1996ROS event
harvest - no harvest
More snow at beginning of event
Less snow at end of event
30
Simulated response to forest harvestSub-basins
of the Deschutes River, WA
31
Effect of forest roads on water table
Drier with roads Wetter with roads
32
Simulated streamflow w/ and w/o forest roads
Hard Creek
Ware Creek
Ware Creek
Hard Creek
33
Sediment Modeling with the DHSVM Watershed
Sediment Module
Watershed Sediment Module
34
Portraying Watershed Change Sediment Model
Effect of wildfire on simulated root cohesion
Wildfire in the Icicle Creek basin
35
Probability of slope failure before and after
Fourth of July Fire
Pre-fire
Approximate extent of August 2001 fire
Post-fire
Icicle Creek Vegetation
36
Portraying Watershed Change Stream Temperature
Model
37
Simulated 10 year maximumstream temperatures
  • Wenatchee River 5th field watersheds
  • Current conditions

Temperatures in degrees Celsius
38
Recreating spatial harvest history
Historical data (top)
GAP analysis (bottom) based on Landsat TM
39
Lakes and wetlands -- Arctic coastal plain
Source San Diego State University Global Change
Research Group
40
Putuligayuk River
Landcover from Landsat MSS images (Muller et al.
1999).
41
RadarSATSAR ground truth data
42
Saturated extent from RADARSAT - Putuligayuk
River, Alaska
a.
b.
c.
d.
e.
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