View In:
ArcGIS JavaScript
ArcGIS Online Map Viewer
ArcGIS Earth
ArcMap
ArcGIS Pro
View Footprint In:
ArcGIS Online Map Viewer
Service Description: Annual average values for precipitation for the last 30 years (1992-2022) from the PRISM datasets at 800m resolution. The 800m PRISM data contains the same measured rainfall gage data as the 4km PRISM; it merely interpolates the 4km data to an 800m resolution. Evapotranspiration (ET) is a significant component in the climate and was considered when creating CETWI. Subtracting the ET from the precipitation quantifies the available precipitation within the region. Measurement of ET has been problematic outside of the Great Plains and across the continent. Sanford and Selnick published a paper on their technique and the algorithm they developed. (Sanford, Ward E. and David L. Selnick, 2012. Estimation of Evapotranspiration Across the Conterminous Uni-ted States Using a Regression with Climate and Land-Cover Data. Journal of the American Water Resources Association (JAWRA) 49(1): 217-230. DOI: 10.1111â„jawr.12010. Estimation of Evapotranspiration Across the Conterminous United States Using a Regression With Climate and Landâ€Cover Data1 (wiley.com)). The PRISM 800m 30 year average precipitation is weighted into a effective precipitation metric by multiplying the ET metric developed to generate the final climate input to the CETWI model.
Purpose: The purpose of the climate dataset is to capture the spatial variability of precipitation within the CETWI study area to better inform the hydrology model that influences topographic wetness potential. This dataset is a function of a 30 year average precipitation derived from the PRISM dataset modified by an Evapotranspiration model developed by (Sanford, Ward E. and David L. Selnick, 2012).
Creation Date: 20240719
Publication Date: 20240719
Revision Date:
Refresh Cycle: Updated periodically as new imagery becomes available
Version: 1.0.0
Change Log: Service deployed.
Report Service Errors
Map Name: cetwi_climate_2022_10m_metadata
Legend
All Layers and Tables
Dynamic Legend
Dynamic All Layers
Layers:
Description: Annual average values for precipitation for the last 30 years (1992-2022) from the PRISM datasets at 800m resolution. The 800m PRISM data contains the same measured rainfall gage data as the 4km PRISM; it merely interpolates the 4km data to an 800m resolution. Evapotranspiration (ET) is a significant component in the climate and was considered when creating CETWI. Subtracting the ET from the precipitation quantifies the available precipitation within the region. Measurement of ET has been problematic outside of the Great Plains and across the continent. Sanford and Selnick published a paper on their technique and the algorithm they developed. (Sanford, Ward E. and David L. Selnick, 2012. Estimation of Evapotranspiration Across the Conterminous Uni-ted States Using a Regression with Climate and Land-Cover Data. Journal of the American Water Resources Association (JAWRA) 49(1): 217-230. DOI: 10.1111â„jawr.12010. Estimation of Evapotranspiration Across the Conterminous United States Using a Regression With Climate and Landâ€Cover Data1 (wiley.com)). The PRISM 800m 30 year average precipitation is weighted into a effective precipitation metric by multiplying the ET metric developed to generate the final climate input to the CETWI model.
Purpose: The purpose of the climate dataset is to capture the spatial variability of precipitation within the CETWI study area to better inform the hydrology model that influences topographic wetness potential. This dataset is a function of a 30 year average precipitation derived from the PRISM dataset modified by an Evapotranspiration model developed by (Sanford, Ward E. and David L. Selnick, 2012).
Creation Date: 20240719
Publication Date: 20240719
Revision Date:
Refresh Cycle: Updated periodically as new imagery becomes available
Version: 1.0.0
Change Log: Service deployed.
Report Service Errors
Copyright Text: CETWI Imagery Service provided by USDA-FPAC
Spatial Reference:
102100
(3857)
Single Fused Map Cache: false
Initial Extent:
XMin: -1.4424526995190373E7
YMin: 2799966.4928149986
XMax: -9738134.56660963
YMax: 6558894.870084997
Spatial Reference: 102100
(3857)
Full Extent:
XMin: -1.41369485894E7
YMin: 2970826.8735999987
XMax: -1.00257129724E7
YMax: 6388034.489299998
Spatial Reference: 102100
(3857)
Units: esriMeters
Supported Image Format Types: PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP
Document Info:
Title: cetwi_climate_2022_10m_metadata
Author:
Comments: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN STYLE="font-size:12pt">Annual average values for precipitation for the last 30 years (1992-2022) from the PRISM datasets at 800m resolution. The 800m PRISM data contains the same measured rainfall gage data as the 4km PRISM; it merely interpolates the 4km data to an 800m resolution. Evapotranspiration (ET) is a significant component in the climate and was considered when creating CETWI. Subtracting the ET from the precipitation quantifies the available precipitation within the region. Measurement of ET has been problematic outside of the Great Plains and across the continent. Sanford and Selnick published a paper on their technique and the algorithm they developed. (Sanford, Ward E. and David L. Selnick, 2012. Estimation of Evapotranspiration Across the Conterminous Uni-ted States Using a Regression with Climate and Land-Cover Data. Journal of the American Water Resources Association (JAWRA) 49(1): 217-230. DOI: 10.1111⁄jawr.12010. </SPAN><A href="https://onlinelibrary.wiley.com:443/doi/epdf/10.1111/jawr.12010" STYLE="text-decoration:underline;"><SPAN STYLE="font-size:12pt">Estimation of Evapotranspiration Across the Conterminous United States Using a Regression With Climate and Land‐Cover Data1 (wiley.com))</SPAN></A><SPAN STYLE="font-size:12pt">. The PRISM 800m 30 year average precipitation is weighted into a effective precipitation metric by multiplying the ET metric developed to generate the final climate input to the CETWI model.</SPAN></P><P STYLE="margin:0 0 0 0;"><SPAN STYLE="font-weight:bold;font-size:12pt">Purpose: </SPAN><SPAN STYLE="font-size:12pt">The purpose of the climate dataset is to capture the spatial variability of precipitation within the CETWI study area to better inform the hydrology model that influences topographic wetness potential. This dataset is a function of a 30 year average precipitation derived from the PRISM dataset modified by an Evapotranspiration model developed by (Sanford, Ward E. and David L. Selnick, 2012).</SPAN></P><P STYLE="font-size:12pt"><SPAN STYLE="font-weight:bold;">Creation Date:</SPAN><SPAN> 20240719</SPAN></P><P STYLE="font-size:12pt"><SPAN STYLE="font-weight:bold;">Publication Date: </SPAN><SPAN>20240719</SPAN></P><P STYLE="font-size:12pt"><SPAN STYLE="font-weight:bold;">Revision Date: </SPAN></P><P STYLE="font-size:12pt"><SPAN STYLE="font-weight:bold;">Refresh Cycle: </SPAN><SPAN>Updated periodically as new imagery becomes available</SPAN></P><P STYLE="font-size:12pt"><SPAN STYLE="font-weight:bold;">Version: </SPAN><SPAN>1.0.0</SPAN></P><P><SPAN STYLE="font-weight:bold;">Change Log:</SPAN><SPAN> Service deployed.</SPAN></P><P STYLE="font-size:12pt"><A href="mailto:usdafpacbc@servicenowservices.com:25?subject=GEOSERV" STYLE="text-decoration:underline;"><SPAN STYLE="font-weight:bold;">Report Service Errors</SPAN></A></P><P><SPAN /></P></DIV></DIV></DIV>
Subject: The purpose of the climate dataset is to capture the spatial variability of precipitation within the CETWI study area to better inform the hydrology model that influences topographic wetness potential. This dataset is a function of a 30 year average precipitation derived from the PRISM dataset modified by an Evapotranspiration model developed by (Sanford, Ward E. and David L. Selnick, 2012).
Category:
Keywords: USDA-FPAC,CETWI,Imagery,v1
AntialiasingMode: Fast
TextAntialiasingMode: Force
Supports Dynamic Layers: true
Resampling: false
MaxRecordCount: 2000
MaxImageHeight: 4096
MaxImageWidth: 4096
Supported Query Formats: JSON, geoJSON, PBF
Supports Query Data Elements: true
Min Scale: 0
Max Scale: 0
Supports Datum Transformation: true
Child Resources:
Info
Dynamic Layer
Supported Operations:
Export Map
Identify
QueryDomains
QueryLegends
Find
Return Updates