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Mediterranean California’s water use future based on scenarios of land use change 1992-2062 - Raster Data

Dates

Publication Date
Start Date
1992
End Date
2017

Citation

Wilson, T.S., 2017, Mediterranean California’s water use future under multiple scenarios of developed and agricultural land use change: U.S. Geological Survey data release, https://doi.org/10.5066/F7Z60MZC.

Summary

This dataset contains raster image files in support of the conclusions published in "Water use demand in Mediterranean California under multiple scenarios of developed and agricultural land use " in the journal PLOS One. We used the USGS's LUCAS model to examine a broad suite of spatially explicit future land use scenarios and their associated county-level water use demand, including the historical (1992-2011) and projected periods (2012-2062) across 40 Monte Carlo simulations.We examined a range of potential water demand futures sampled from a 20-year record of historical (1992-2012) data to develop a suite of potential future land change scenarios from 2012-2062. These scenario simulations include a 1) business-as-usual (BAU), 2) [...]

Contacts

Point of Contact :
Tamara Wilson
Originator :
Tamara Wilson
Metadata Contact :
Tamara Wilson
Publisher :
U.S. Geological Survey
Distributor :
U.S. Geological Survey - ScienceBase

Attached Files

Click on title to download individual files attached to this item.

Extension: ALL_AG_EXPANSION_Tgap_Mean.zip
ALL_AG_EXPANSION_Tgap_Mean.tif 4.5 MB
ALL_AG_EXPANSION_Tgap_Mean.tif-ColorRamp.SLD 2.09 KB
Extension: ALL_ANTHRO_Tgap_SUM_urb_agexp.zip
ALL_ANTHRO_Tgap_SUM_urb_agexp.tif 4.5 MB
ALL_ANTHRO_Tgap_SUM_urb_agexp.tif-ColorRamp.SLD 2.09 KB
Extension: ALL_URBANIZATION_Tgap_Mean.zip
ALL_URBANIZATION_Tgap_Mean.tif 4.5 MB
ALL_URBANIZATION_Tgap_Mean.tif-ColorRamp.SLD 2.09 KB

Purpose

The data were produced by running the Land Use and Carbon Scenario Simulator (LUCAS) model across 7 different future land use scenarios from 1992 to 2062 across 40 Monte Carlo iterations. Data include average annual transition probability maps by land use conversion type (e.g. urbanization) across all 7 scenarios and iterations. Future land use related water demand projections are useful for resource managers and planners to envision potential resource futures.

Map

Spatial Services

ScienceBase WMS

ScienceBase WCS

Communities

  • USGS Data Release Products

Tags

Provenance

Data source
Input directly

Additional Information

Alternate Titles

  • California’s water use future based on scenarios of land use change

Raster Extension

files
nameALL_AG_EXPANSION_Tgap_Mean.tif
contentTypeimage/geotiff
pathOnDisk__disk__22/02/2c/22022ce49e4ac247f058d9f45635f2483720aeae
size4720701
dateUploadedMon Aug 28 12:08:13 MDT 2017
checksum
value07b135d2433de7c3b5b103c297f81aee
typeMD5
nameALL_AG_EXPANSION_Tgap_Mean.tif-ColorRamp.SLD
contentTypeapplication/sld+xml
pathOnDisk__disk__e3/4c/55/e34c55bc4b980cf952e956b4e4b66c30f3f34399
imageWidth580
imageHeight435
size2136
dateUploadedMon Aug 28 12:08:56 MDT 2017
nameALL_AG_EXPANSION_Tgap_Mean
nativeCrsEPSG:4269
rasterTypeGeoTIFF

Raster Extension

files
nameALL_ANTHRO_Tgap_SUM_urb_agexp.tif
contentTypeimage/geotiff
pathOnDisk__disk__e6/4c/10/e64c10b0f47e3a8fdd04d105f83e4e70fb6362fe
size4720699
dateUploadedMon Aug 28 12:08:12 MDT 2017
checksum
value7fe93a9a5dd54bde39252e9efaa8a9ab
typeMD5
nameALL_ANTHRO_Tgap_SUM_urb_agexp.tif-ColorRamp.SLD
contentTypeapplication/sld+xml
pathOnDisk__disk__1d/09/df/1d09df1714a7691aa44aa6013dcda9e8b817e9a4
imageWidth580
imageHeight435
size2136
dateUploadedMon Aug 28 12:08:56 MDT 2017
nameALL_ANTHRO_Tgap_SUM_urb_agexp
nativeCrsEPSG:4269
rasterTypeGeoTIFF

Raster Extension

files
nameALL_URBANIZATION_Tgap_Mean.tif
contentTypeimage/geotiff
pathOnDisk__disk__22/cd/03/22cd039d79d45fe2b5735f512330fed418184c66
size4720699
dateUploadedMon Aug 28 12:08:12 MDT 2017
checksum
valued8f0f5f70354f019329930f32c64c72b
typeMD5
nameALL_URBANIZATION_Tgap_Mean.tif-ColorRamp.SLD
contentTypeapplication/sld+xml
pathOnDisk__disk__0b/e1/b2/0be1b24e45e2685628274df61c800afc6534c616
imageWidth580
imageHeight435
size2136
dateUploadedMon Aug 28 12:08:56 MDT 2017
nameALL_URBANIZATION_Tgap_Mean
nativeCrsEPSG:4269
rasterTypeGeoTIFF

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