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The PRISM Approach to Mapping Climate in Complex Regions. Christopher Daly Director Spatial Climate Analysis Service Oregon State University Corvallis, Oregon. Spatial Climate Analysis Service Mission. Service
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The PRISM Approach to Mapping Climate in Complex Regions Christopher Daly Director Spatial Climate Analysis Service Oregon State University Corvallis, Oregon
Spatial Climate Analysis Service Mission • Service • Provide innovative, state-of-the science spatial climate products and services to clients worldwide • Research • Maintain scientific research and development programs that provide the basis for products and services • Education • Advance “geospatial climatology” as an emerging discipline
SCAS and PRISM are Unique • SCAS is the only center in the world dedicated solely to the mapping of climate • PRISM climate mapping technology has been continuously developed, and repeatedly peer-reviewed, since 1991 • PRISM climate maps are the “gold standard” by which others are evaluated • SCAS has become a leader in climate mapping products and technology worldwide
Rationale • Observations are rarely sufficient to directly represent the spatial patterns of climate • 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 • Therefore… • The best method may be a statistical approach that is automated, but developed, guided and evaluated with expert knowledge
Knowledge-Based SystemKBS • 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
PRISM • 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 in the regression function by their climatological similarity to the target grid cell Parameter-elevation Regressions on Independent Slopes Model
Oregon Annual Precipitation Interface
PRISM Knowledge Base • Elevation Influence on Climate
1961-90 Mean January Precipitation, Sierra Nevada, CA, USA Oregon Annual Precipitation
1961-90 Mean August Max Temperature, Sierra Nevada, CA, USA Oregon Annual Precipitation
1961-90 Mean September Max Temperature, Qin Ling Mountains, China Oregon Annual Precipitation
PRISM Moving-Window Regression Function 1961-90 Mean April Precipitation, Qin Ling Mountains, China Weighted linear regression
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
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)
PRISM • Terrain-Induced Climate Transitions (topographic facets, moisture index) Knowledge Base • Elevation Influence on Climate
Rain Shadow: 1961-90 Mean Annual Precipitation Oregon Cascades Portland Mt. Hood Eugene Dominant PRISM KBS Components Elevation Terrain orientation Terrain steepness Moisture Regime Mt. Jefferson 2500 mm/yr 2200 mm/yr Sisters Three Sisters 350 mm/yr Redmond N Bend
Olympic Peninsula, Washington, USA Flow Direction
Topographic Facets = 4 km = 60 km
Mean Annual Precipitation, 1961-90 Oregon Annual Precipitation Max ~ 7900 mm Full Model 3452 mm 3442 mm 4042 mm Max ~ 6800 mm
Mean Annual Precipitation, 1961-90 Max ~ 4800 mm 3452 mm 3442 mm 4042 mm Facet Weighting Disabled
Mean Annual Precipitation, 1961-90 Oregon Annual Precipitation Max ~ 3300 mm 3452 mm 3442 mm 4042 mm Elevation = 0
Mean Annual Precipitation, 1961-90 Oregon Annual Precipitation Max ~ 7900 mm Full Model 3452 mm 3442 mm 4042 mm Max ~ 6800 mm
PRISM • Terrain-Induced Climate Transitions (topographic facets, moisture index) Knowledge Base • Elevation Influence on Climate • Coastal Effects
Coastal Effects: 1971-00 July Maximum Temperature Central California Coast – 1 km Sacramento Stockton Dominant PRISM KBS Components Elevation Coastal Proximity Inversion Layer 34° SanFrancisco Oakland Fremont SanJose Preferred Trajectories Santa Cruz 27° 20° Pacific Ocean Hollister Monterey Salinas N
1961-90 Mean July Maximum Temperature, Central California, USA Coastal Proximity Weighting OFF Coastal Proximity Weighting ON
PRISM • Terrain-Induced Climate Transitions (topographic facets, moisture index) Knowledge Base • Elevation Influence on Climate • Coastal Effects • Two-Layer Atmosphere and Topographic Index
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
Central Colorado Terrain and Topographic Index Gunnison Gunnison Terrain Topographic Index
January Minimum Temperature Central Colorado Gunnison Gunnison Valley Bottom Elev = 2316 m Below Inversion Lapse = 5.3°C/km T = -16.2°C
January Minimum Temperature Central Colorado Gunnison Mid-Slope Elev = 2921 m Above Inversion Lapse = 6.9°C/km T = -12.7°C
January Minimum Temperature Central Colorado Gunnison Ridge Top Elev = 3779 m Above Inversion Lapse = 6.0°C/km T = -17.9°C
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° -18°C Lake City