20071024
09374700
TRUE
ProjectRaster P:\StateWide_GIS\0_WORKING\POSSIBLY_EXTRA_DATA\Wind_Maps_090407\in_spd50m P:\StateWide_GIS\0_WORKING\POSSIBLY_EXTRA_DATA\Wind_Maps_090407\WINDSPD50_IN PROJCS['NAD_1983_UTM_Zone_16N',GEOGCS['GCS_North_American_1983',DATUM['D_North_American_1983',SPHEROID['GRS_1980',6378137.0,298.257222101]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]],PROJECTION['Transverse_Mercator'],PARAMETER['False_Easting',500000.0],PARAMETER['False_Northing',0.0],PARAMETER['Central_Meridian',-87.0],PARAMETER['Scale_Factor',0.9996],PARAMETER['Latitude_Of_Origin',0.0],UNIT['Meter',1.0]];IsHighPrecision NEAREST 200 NAD_1983_To_WGS_1984_1 # "PROJCS['WGS_1984_UTM_Zone_16N',GEOGCS['GCS_WGS_1984',DATUM['D_WGS_1984',SPHEROID['WGS_1984',6378137.0,298.257223563]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]],PROJECTION['Transverse_Mercator'],PARAMETER['False_Easting',500000.0],PARAMETER['False_Northing',0.0],PARAMETER['Central_Meridian',-87.0],PARAMETER['Scale_Factor',0.9996],PARAMETER['Latitude_Of_Origin',0.0],UNIT['Meter',1.0]];-5120900 -9998100 450445547.391054;#;#;0.001;#;#;IsHighPrecision"
{19C66DD5-91E2-4AB9-95E3-E99CFA948616}
\\BL-GEOY-Quartz\Projects\StateWide_GIS\0_WORKING\POSSIBLY_EXTRA_DATA\Wind_Maps_090407\windspd50_in
file://\\BL-GEOY-Quartz\Projects\StateWide_GIS\0_WORKING\POSSIBLY_EXTRA_DATA\Wind_Maps_090407\windspd50_in
Local Area Network
Dataset moved.
P:\StateWide_GIS\0_WORKING\POSSIBLY_EXTRA_DATA\Wind_Maps_090407\windspd50_in
20070911
Dataset copied.
P:\IGS_Review\GIS_Atlas\WindSpeed_Power\windspd50_in
20070911
Dataset moved.
P:\StateWide_GIS\0_WORKING\POSSIBLY_EXTRA_DATA\Wind_Maps_090407\windspd50_in
20071024
Dataset copied.
P:\Cinderella\GISATLAS_For_October\windspd50_in
20071024
MesoMap
atmosphere
atmospheric simulation
alternative energy
wind map
wind energy
wind speed
wind resource
wind power
wind
energy
Mean Wind Speed at Height of 50 Meters above Ground, Derived from Mesoscale Atmospheric Simulation System and WindMap
Wind Speed 50m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