© crown copyright met office re using gis for re climate impacts analysis 2nd acre workshop (1 st...
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© Crown copyright Met Office
Using GIS for ReRe Climate Impacts Analysis 2nd ACRE Workshop (1st to 3rd April 2009)Neil Kaye
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Introduction
• Not Just Pretty Maps (but that’s part of it)
• GIS data structures and storage
• Using GIS to solve problems
• A technique for visualising ensemble forecasts
• A funky map to finish
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Not just Pretty Maps!
HOME
MET OFFICE
The West CountryMet Office HQ
London
Up North
Scotland
50o
60o
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What is GIS?
• A GIS is a computer system capable of capturing, storing, analyzing, and displaying geographically referenced information; that is, data identified according to location.
• A GIS allows multiple layers to be combined in one dataset
Social FactorsSocial Factors
BiodiversityBiodiversity
EngineeringEngineering
Land UseLand Use
Environmental Environmental ConsiderationsConsiderations
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Data Structures
Raster vs Vector
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Data Storage
Spatial databases
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Problem:
Identify a location for 4 new climate stations that occur in an in area of low climate station density and high population density.
Solution:
Create a map to identify the appropriate areas.
High population density, high station density
Low population density, low station density
Low population density, high station density
High population density, low station density
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Selecting station based on climatology
Max Temp +/- 0.5oC
Min Temp +/- 0.5oC
Precipitation +/- 10%
Elevation +/- 100m
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Vineyard Suitability GIS Example
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It matters what it looks like!!!
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Koppen Classification
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Change in classification by 2050 (HADCM3)
Equatorial to aridWarm temperate to equatorial Warm temperate to arid
Hotter Summers
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Tundra to snow fully humid with a cool summer
Change from cool to warm summer
Change from warm to hot summer
Change from warm temperate to arid
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Change from warm temperate to arid
Change from steppe to desert
Change from equatorial summer dry to arid steppe
Change from warm temperate fully humid to equatorial summer dry
Hotter summers
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Visualizing ensemble model data Neil Kaye
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Standard HADCM3 Model Run
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QUMP Atmospheric Ensemble – Global Mean Temperature Anomaly
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Runoff 2100 – 2000 Atmospheric QUMP (HADCM3)
Little Agreement between Ensemble Members
Transition between strong agreement on decreased runoff and strong agreement of increased runoff
Little Agreement between Ensemble Members
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QUMP Atmospheric Ensemble – Global Mean Temperature Anomaly
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Low Mean R2 Value
Low Mean R2 Value
High Mean R2 Value
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Cartogram showing global CO2 emissions
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It matters what it looks like
• It is about presentation