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Service Description: This raster contains modeled future April 1 snow water equivalent values 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 2071-2090 (RCP8.5). 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 here.
Name: RDW_Climate/SnowWaterEquivApril1_2080
Description: This raster contains modeled future April 1 snow water equivalent values 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 2071-2090 (RCP8.5). 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 here.
Single Fused Map Cache: false
Extent:
XMin: -1.50184871125E7
YMin: 2401774.544926799
XMax: -6334157.187063497
YMax: 6867468.623599999
Spatial Reference: 102100
(3857)
Initial Extent:
XMin: -1.50184871125E7
YMin: 2401774.544926799
XMax: -6334157.187063497
YMax: 6867468.623599999
Spatial Reference: 102100
(3857)
Full Extent:
XMin: -1.50184871125E7
YMin: 2401774.544926799
XMax: -6334157.187063497
YMax: 6867468.623599999
Spatial Reference: 102100
(3857)
Pixel Size X: 4661.476073771607
Pixel Size Y: 4661.476073771607
Band Count: 1
Pixel Type: F64
RasterFunction Infos: {"rasterFunctionInfos": [
{
"name": "SWE",
"description": "A raster function template.",
"help": ""
},
{
"name": "None",
"description": "A No-Op Function.",
"help": ""
}
]}
Mensuration Capabilities: None
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: 0
Max Values: 1159.9961500056652
Mean Values: 24.800141320620583
Standard Deviation Values: 84.30555493370532
Object ID Field: OBJECTID
Fields:
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OBJECTID
(
type: esriFieldTypeOID, alias: OBJECTID
)
-
Shape
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type: esriFieldTypeGeometry, alias: Shape
)
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Name
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type: esriFieldTypeString, alias: Name, length: 200
)
-
MinPS
(
type: esriFieldTypeDouble, alias: MinPS
)
-
MaxPS
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type: esriFieldTypeDouble, alias: MaxPS
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LowPS
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type: esriFieldTypeDouble, alias: LowPS
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HighPS
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type: esriFieldTypeDouble, alias: HighPS
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Category
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type: esriFieldTypeInteger, alias: Category
, Coded Values:
[0: Unknown]
, [1: Primary]
, [2: Overview]
, ...5 more...
)
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Tag
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type: esriFieldTypeString, alias: Tag, length: 100
)
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GroupName
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type: esriFieldTypeString, alias: GroupName, length: 100
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ProductName
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type: esriFieldTypeString, alias: ProductName, length: 100
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CenterX
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type: esriFieldTypeDouble, alias: CenterX
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CenterY
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type: esriFieldTypeDouble, alias: CenterY
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ZOrder
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type: esriFieldTypeInteger, alias: ZOrder
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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:
Name: Raster Dataset
Description: Supports all ArcGIS Raster Datasets
Help:
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
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