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The PRISM Approach to Mapping Climate in Complex Regions

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Title: The PRISM Approach to Mapping Climate in Complex Regions


1
The PRISM Approach to Mapping Climatein Complex
Regions
  • Christopher Daly, Ph.D., Director
  • Spatial Climate Analysis Service
  • Dept. of Geosciences, College of Science
  • College of Oceanographic and Atmospheric Sciences
  • Oregon State University
  • Corvallis, Oregon, USA

2
  • Outline
  • Rational behind PRISM approach
  • How PRISM works
  • Some useful PRISM data sets

3
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4
Oregon Annual Precipitation
5
Oregon Annual Precipitation
6
Oregon Annual Precipitation
7

Oregon Annual Precipitation
8
Oregon Annual Precipitation
9
Rationale
  • Observations are rarely sufficient to completely
    represent the spatial patterns of climate,
    requiring intelligent interpolation
  • Human-expert mapping methods often produce the
    best products, but are slow, inconsistent, and
    non-repeatable
  • Purely statistical mapping methods are fast and
    repeatable, but rarely provide the best accuracy,
    detail, and realism


10
Rationale
  • Therefore
  • The best method may be a statistical approach
    that is fast and automated, but developed, guided
    and evaluated with expert knowledge


11
Knowledge-Based System KBS
  • Knowledge acquisition capability Elicit expert
    information
  • Knowledge base Store of knowledge
  • Inference Engine Infer solutions from stored
    knowledge
  • User interface Interaction and explanation
  • Independent verification Knowledge refinement


12
PRISM
Parameter-elevation Regressions on Independent
Slopes Model
  • Generates gridded estimates of climatic
    parameters
  • Moving-window regression of climate vs. elevation
    for each grid cell
  • Uses nearby station observations
  • Spatial climate knowledge base weights stations
    by their physiographic similarity to the target
    grid cell

13
Oregon Annual Precipitation
Interface
14
PRISM
Knowledge Base
  • Elevation Influence on Climate

15
1961-90 Mean January Precipitation, Sierra
Nevada, CA, USA
Oregon Annual Precipitation
16
1961-90 Mean August Max Temperature, Sierra
Nevada, CA, USA
Oregon Annual Precipitation
17
1963-1993 Mean November Precipitation, Puerto Rico
18
1963-95 Mean June Maximum Temperature, Puerto Rico
19
1971-90 Mean February Precipitation, European Alps
20
1961-90 Mean September Max Temperature, Qin Ling
Mountains, China
Oregon Annual Precipitation
21
PRISM Moving-Window Regression Function
Oregon Annual Precipitation
1961-90 Mean April Precipitation, Qin Ling
Mountains, China
Weighted linear regression
22
Governing Equation
  • Moving-window regression of climate vs
    elevation
  • y ?1x ?0
  • Y predicted climate element
  • x DEM elevation at the target cell
  • ?0 y-intercept
  • ?1 slope
  • x,y pairs - elevation and climate observations
    from nearby climate stations

23
Station Weighting
  • Combined weight of a station is
  • W f Wd , Wz , Wc , Wf , Wp , Wl , Wt , We
  • Distance
  • Elevation
  • Clustering
  • Topographic Facet (orientation)
  • Coastal Proximity
  • Vertical Layer (inversion)
  • Topographic Index (cold air pooling)
  • Effective Terrain Height (orographic profile)

24
PRISM
Knowledge Base
  • Terrain-Induced Climate Transitions (topographic
    facets, moisture index)

25
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26
Rain Shadow Mean Annual Precipitation Oregon
Cascades
Portland
Mt. Hood
Eugene
Mt. Jefferson
2500 mm/yr
2200 mm/yr
Sisters
Three Sisters
350 mm/yr
Redmond
N
Bend
27
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28
1961-90 Mean Annual Precipitation, Cascade Mtns,
OR, USA
29
1961-90 Mean Annual Precipitation, Cascade Mtns,
OR, USA
30
Olympic Peninsula, Washington, USA
Flow Direction
31
Topographic Facets
? 4 km

? 60 km

32
Mean Annual Precipitation, 1961-90
Oregon Annual Precipitation
Max 7900 mm
Full Model
3452 mm 3442 mm 4042 mm Streamflow
Max 6800 mm
33
Mean Annual Precipitation, 1961-90
Max 4800 mm
3452 mm 3442 mm 4042 mm Streamflow
Facet Weighting Disabled
34
Mean Annual Precipitation, 1961-90
Oregon Annual Precipitation
Max 3300 mm
3452 mm 3442 mm 4042 mm Streamflow
Elevation 0
35
Mean Annual Precipitation, 1961-90
Oregon Annual Precipitation
Max 7900 mm
Full Model
3452 mm 3442 mm 4042 mm Streamflow
Max 6800 mm
36
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37
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38
PRISM
Knowledge Base
  • Coastal Effects

39
Coastal Effects 1971-00 July Maximum
Temperature Central California Coast
Sacramento
Stockton
34
San Francisco
Oakland
Fremont
San Jose
Preferred Trajectories
Santa Cruz
27
20
Pacific Ocean
Hollister
Monterey
Salinas
N
40
1961-90 Mean July Maximum Temperature, Central
California, USA
Coastal Proximity Weighting OFF
Coastal Proximity Weighting ON
41
PRISM
Knowledge Base
  • Two-Layer Atmosphere and Topographic Index

42
1971-2000 January Temperature, HJ Andrews Forest,
Oregon, USA
TMAX-Elevation Plot for January
Layer 1 Layer 2
TMIN-Elevation Plot for January
Layer 1 Layer 2
43
Mean Annual Precipitation, Hawaii
44
United States Potential Winter Inversion
45
Western US Topographic Index
46
Central Colorado Terrain and Topographic Index
Gunnison
Gunnison
Terrain
Topographic Index
47
January Minimum Temperature Central Colorado
Gunnison
Gunnison
Valley Bottom Elev 2316 m Below Inversion Lapse
5.3C/km T -16.2C
48
January Minimum Temperature Central Colorado
Gunnison
Mid-Slope Elev 2921 m Above Inversion Lapse
6.9C/km T -12.7C
49
January Minimum Temperature Central Colorado
Gunnison
Ridge Top Elev 3779 m Above Inversion Lapse
6.0C/km T -17.9C
50
Inversions 1971-00 January Minimum Temperature
Central Colorado
N
Dominant PRISM KBS Components Elevation
Topographic Index Inversion Layer
Taylor Park Res.
Crested Butte
-18
Gunnison
-13
-18C
Lake City
51
PRISM 1971-2000 Mean January Minimum Temperature,
800-m
Banana Belt
Cold air drainage
Snake Plain
52
Inversions 1971-00 July Minimum Temperature
Northwestern California
Pacific Ocean
N
Willits
9
Dominant PRISM KBS Components Elevation
Inversion Layer Topographic Index Coastal
Proximity
Ukiah
Lake Pilsbury.
10
17
16
Cloverdale
Lakeport
12
Clear Lake
17
53
PRISM
Knowledge Base
  • Orographic Effectiveness of Terrain

54
United States Effective Terrain
United States Orographically Effective Terrain
55
Oregon Annual Precipitation
56
PRISM
Knowledge Base
  • Explanatory power of climatic patterns, or
    climatologically-aided interpolation (CAI)

57
Oregon Annual Precipitation
Leveraging Information Content of High-Quality
Climatologies to Create New Maps with Fewer Data
and Less Effort
Climatology used in place of DEM as PRISM
predictor grid
58
PRISM Regression of Climate vs Climate or
Weather vs Climate
20 July 2000 Tmax vs 1971-2000 Mean July Tmax
59
Official USDA 1961-90 Precipitation and
Temperature Maps for the US (NRCS)
1971-2000 hi-res update
4 km
Seamless coverage
0.8 km
Each state peer-reviewed
Used in thousands of applications
60
1961-90 US Climate Atlas (NOAA NCDC)
Over 1,000 SCAS Maps
Built upon NRCS mapping project
PRISM Mean Annual Precipitation Hawaiian
Islands, 1961-90
61
1895-Present Near Real-Time Monthly Climate Time
Series Updates (USFS, NOAA OGP, NASA)
Built upon NRCS, Atlas, and NOAA time series
projects
New maps created 7-14 days after end of month
  • Wildfire Risk Assessment
  • and Prediction
  • Drought
  • Water supply
  • Climate variability

62
Upcoming Products
  • Updated 1971-2000 mean monthly P, Tmax, Tmin maps
    for the US at 800-m resolution (USDA-NRCS, NPS,
    USFS)
  • Spatial-Probabilistic QC system for SNOTEL
    observations (USDA-NRCS)
  • Targeted climatologies for NWS River Forecast
    Centers (NWS Western Region)
  • Extreme precipitation frequency maps for regions
    in US (NWS HDSC)


63
Future Directions
  • Engage in collaborative projects to develop the
    use of PRISM and PRISM climatologies for
    downscaling weather analyses and predictions
  • Continue to develop technology to move to smaller
    time steps and higher resolution
  • Explore using remotely-sensed data to improve
    PRISM accuracy in under-sampled areas (and
    vice-versa)
  • Continue to develop PRISMs Spatial Climate
    Knowledge Base


64
PRISM Info and Data Set Access

www.ocs.oregonstate.edu/prism/www.climatesource.
com
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