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RDW_Climate/SnowWaterEquivApril1_AbsChange (ImageServer)

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Service Description:

This raster contains modeled absolute 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., [2014] and Lute and Luce [2017]. 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 [Taylor et al., 2012], 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, [2012] and the 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 Rocky Mountain Research Station, including detailed metadata; these raster data are available for download here.



Name: RDW_Climate/SnowWaterEquivApril1_AbsChange

Description:

This raster contains modeled absolute 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., [2014] and Lute and Luce [2017]. 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 [Taylor et al., 2012], 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, [2012] and the 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 Rocky Mountain Research Station, including detailed metadata; these raster data are available for download here.



Single Fused Map Cache: true

Tile Info: Extent: Initial Extent: Full Extent: Pixel Size X: 4661.476073771607

Pixel Size Y: 4661.476073771607

Band Count: 1

Pixel Type: F64

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

Mensuration Capabilities: None

Has Histograms: true

Has Colormap: false

Has Multi Dimensions : false

Rendering Rule:

Min Scale: 5.91657527591555E8

Max Scale: 288895.277144

Copyright Text: U.S. Forest Service; Rocky Mountain Research Station (RMRS); Air, Water, and Aquatic Environments Program (AWAE). Lute, A., and Luce, C. H. (2017, April 5). National Forest Climate Change Maps: Your Guide to the Future. Retrieved July 1, 2017, from https://www.fs.fed.us/rm/boise/AWAE/projects/national-forest-climate-change-maps.

Service Data Type: esriImageServiceDataTypeThematic

Min Values: -2165.605004735789

Max Values: 93.34875199324716

Mean Values: -63.395061712921276

Standard Deviation Values: 102.08677507103646

Object ID Field: OBJECTID

Fields: 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 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   Key Properties   Legend   MultiDimensionalInfo   rasterFunctionInfos

Supported Operations:   Export Image   Query   Identify   Compute Histograms   Compute Statistics Histograms   Get Samples   Compute Class Statistics   EstimateExportTilesSize   ExportTiles