RDW_Climate/SnowWaterEquivApril1_PctChange (ImageServer)

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Service Description: This raster contains modeled percent changes in April 1 snow water equivalent (SWE) calculated using a spatial analog model. The model ingests mean winter average temperature and precipitation. For more information about the model, please see Luce et al., and Lute and Luce http://onlinelibrary.wiley.com/doi/10.1002/2017WR020752/full. Absolute changes in April 1 SWE is in units of millimeters. The temperature and precipitation data are ensemble mean values across 20 global climate models from the CMIP5 experiment http://journals.ametsoc.org/doi/abs/10.1175/BAMS-D-11-00094.1, downscaled to a 4km grid. For more information on the downscaling method and to access the raw data used to create this dataset, please see Abatzoglou and Brown, http://onlinelibrary.wiley.com/doi/10.1002/joc.2312/full] and the http://maca.northwestknowledge.net, Northwest Climate Science Center. We used the MACAv2-metdata monthly precipitation and minimum and maximum temperature datasets for the period 1975-2005 (historical) and 2071-2090 (RCP8.5, future). Average temperature was calculated as the arithmetic mean of minimum and maximum temperature datasets. Average temperature was averaged over the winter months (November through March) and precipitation was summed over the winter months. More information on the project associated with this dataset is available from the U.S. Forest Service, https://www.fs.usda.gov/rm/boise/AWAE/projects/national-forest-climate-change-maps.html, Rocky Mountain Research Station, including https://www.fs.usda.gov/rm/boise/AWAE/projects/NFS-regional-climate-change-maps/categories/us-raster-layers.html, detailed metadata; these raster data are available for https://www.fs.usda.gov/rm/boise/AWAE/projects/NFS-regional-climate-change-maps/categories/us-raster-layers.html.

Name: RDW_Climate/SnowWaterEquivApril1_PctChange

Description: This raster contains modeled percent changes in April 1 snow water equivalent (SWE) calculated using a spatial analog model. The model ingests mean winter average temperature and precipitation. For more information about the model, please see Luce et al., and Lute and Luce http://onlinelibrary.wiley.com/doi/10.1002/2017WR020752/full. Absolute changes in April 1 SWE is in units of millimeters. The temperature and precipitation data are ensemble mean values across 20 global climate models from the CMIP5 experiment http://journals.ametsoc.org/doi/abs/10.1175/BAMS-D-11-00094.1, downscaled to a 4km grid. For more information on the downscaling method and to access the raw data used to create this dataset, please see Abatzoglou and Brown, http://onlinelibrary.wiley.com/doi/10.1002/joc.2312/full] and the http://maca.northwestknowledge.net, Northwest Climate Science Center. We used the MACAv2-metdata monthly precipitation and minimum and maximum temperature datasets for the period 1975-2005 (historical) and 2071-2090 (RCP8.5, future). Average temperature was calculated as the arithmetic mean of minimum and maximum temperature datasets. Average temperature was averaged over the winter months (November through March) and precipitation was summed over the winter months. More information on the project associated with this dataset is available from the U.S. Forest Service, https://www.fs.usda.gov/rm/boise/AWAE/projects/national-forest-climate-change-maps.html, Rocky Mountain Research Station, including https://www.fs.usda.gov/rm/boise/AWAE/projects/NFS-regional-climate-change-maps/categories/us-raster-layers.html, detailed metadata; these raster data are available for https://www.fs.usda.gov/rm/boise/AWAE/projects/NFS-regional-climate-change-maps/categories/us-raster-layers.html.

Single Fused Map Cache: false

Extent:

Initial Extent:

Full Extent:

Pixel Size X: 4661.476073771607

Pixel Size Y: 4661.476073771607

Band Count: 1

Pixel Type: F64

RasterFunction Infos: {"rasterFunctionInfos": [ { "name": "SWE_Pct", "description": "A raster function template.", "help": "" }, { "name": "None", "description": "A No-Op Function.", "help": "" } ]}

Mensuration Capabilities: Basic

Inspection Capabilities:

Has Histograms: true

Has Colormap: false

Has Multi Dimensions : false

Rendering Rule:

Min Scale: 0

Max Scale: 0

Copyright Text:

Service Data Type: esriImageServiceDataTypeThematic

Min Values: -100.00000000000003

Max Values: 9.608132257950867

Mean Values: -86.81394278623809

Standard Deviation Values: 22.020349747710824

Object ID Field: OBJECTID

Fields:

OBJECTID ( type: esriFieldTypeOID, alias: OBJECTID )
Shape ( type: esriFieldTypeGeometry, alias: Shape )
Name ( type: esriFieldTypeString, alias: Name, length: 200 )
MinPS ( type: esriFieldTypeDouble, alias: MinPS )
MaxPS ( type: esriFieldTypeDouble, alias: MaxPS )
LowPS ( type: esriFieldTypeDouble, alias: LowPS )
HighPS ( type: esriFieldTypeDouble, alias: HighPS )
Category ( type: esriFieldTypeInteger, alias: Category , Coded Values: [0: Unknown] , [1: Primary] , [2: Overview] , ...5 more... )
Tag ( type: esriFieldTypeString, alias: Tag, length: 100 )
GroupName ( type: esriFieldTypeString, alias: GroupName, length: 100 )
ProductName ( type: esriFieldTypeString, alias: ProductName, length: 100 )
CenterX ( type: esriFieldTypeDouble, alias: CenterX )
CenterY ( type: esriFieldTypeDouble, alias: CenterY )
ZOrder ( type: esriFieldTypeInteger, alias: ZOrder )
Shape_Length ( type: esriFieldTypeDouble, alias: Shape_Length )
Shape_Area ( type: esriFieldTypeDouble, alias: Shape_Area )

Default Mosaic Method: Northwest

Allowed Mosaic Methods: NorthWest,Center,LockRaster,ByAttribute,Nadir,Viewpoint,Seamline,None

SortField:

SortValue: null

Mosaic Operator: First

Default Compression Quality: 75

Default Resampling Method: Nearest

Max Record Count: 1000

Max Image Height: 2000

Max Image Width: 2000

Max Download Image Count: 20

Max Mosaic Image Count: 20

Allow Raster Function: true

Allow Copy: true

Allow Analysis: true

Allow Compute TiePoints: false

Supports Statistics: true

Supports Advanced Queries: true

Use StandardizedQueries: true

Raster Type Infos:

Has Raster Attribute Table: false

Edit Fields Info: null

Ownership Based AccessControl For Rasters: null

Child Resources: Info Histograms Statistics Key Properties Legend Raster Function Infos

Supported Operations: Export Image Query Identify Measure Compute Histograms Compute Statistics Histograms Get Samples Compute Class Statistics Query GPS Info Find Images Image to Map Map to Image Measure from Image Image to Map Multiray Query Boundary Compute Pixel Location Compute Angles Validate Project