Direct Download (Raster Data Gateway)

Objective: Evaluate the impact of atmospheric nitrogen deposition on various ecosystem components including lichens, tree species (both growth and mortality), mycorrhizal communities, herbaceous plant species (changes in species richness), and leaching.

Data: Deposition data is the 3-year average output from the Total Deposition (TDep) modeling system (https://nadp.slh.wisc.edu/committees/tdep/). TDep uses measurement-model fusion to bias correct modelled estimates (Tdep Program, https://nadp.slh.wisc.edu/committees/tdep/). TDep uses observations of air concentrations from the Clean Air Status and Trends Network (CASTNET) for measurements of dry deposition and observations of precipitation and precipitation chemistry from various National Atmospheric Deposition Program (NADP) networks. These observations are interpolated and used to create seasonal bias surfaces for results generated from CMAQ. Bias-adjusted CMAQ results are then merged with observations to create a set of deposition estimates that better align with measurements than model results alone. The full description of this methodology is available in: Schwede et al., 2014. There is a two year lag between the source data and the TCA Assessment year, so source data 3-year ranges with assessment year in parentheses are: 2016-2018 (2020 assessment), 2017-2019 (2021 assessment), 2018-2020 (2022 assessment), 2019-2021 (2023 assessment), 2020-2022* (2024 assessment). *The data used in the 2024 assessment had a small gap in western North and South Dakota, which was filled with data from the 2019-2021 product due to the small amount of interannual variability in the region.

Data Format: Raster data are continuous

Units: kg/ha/yr

Spatial Resolution: 400m (resampled from 4km)

Source data: Total Deposition Science Committee (TDep)

Additional Resources:

Details on Method Changes and Source Data Versions

Overview of the Terrestrial Condition Assessment: TCA Hubsite or Landfire Office Hour Presentation

Explore the results of the most recent assessment: TCA Interactive Data Viewer

Learn more about the TCA KPI: TCA Dashboard

Name: Ecosystems/USFS_EDW_TCA_NitrogenDeposition

Description:

Single Fused Map Cache: false

Extent:

XMin: -1.51284248234E7
YMin: 2257466.104199998
XMax: -6171224.8234
YMax: 6977066.104199998
Spatial Reference: 102100  (3857)  LatestVCSWkid(0)

Initial Extent:

XMin: -1.51284248234E7
YMin: 2257466.104199998
XMax: -6171224.8234
YMax: 6977066.104199998
Spatial Reference: 102100  (3857)  LatestVCSWkid(0)

Full Extent:

XMin: -1.51284248234E7
YMin: 2257466.104199998
XMax: -6171224.8234
YMax: 6977066.104199998
Spatial Reference: 102100  (3857)  LatestVCSWkid(0)

Time Info:

Start Time Field: StdTime
End Time Field: StdTime
Time Extent:
[2020/01/01 00:00:00 UTC, 2024/01/01 00:00:00 UTC]

Time Reference: N/A

Pixel Size X: 400.0

Pixel Size Y: 400.0

Band Count: 1

Pixel Type: F32

RasterFunction Infos: {"rasterFunctionInfos": [ { "help": "", "name": "None", "description": "Make a Raster or Raster Dataset into a Function Raster Dataset." }, { "help": "", "name": "Nitrogen Deposition", "description": "A raster function template." } ]}

Mensuration Capabilities: Basic

Inspection Capabilities:

Has Histograms: true

Has Colormap: false

Has Multi Dimensions : true

Rendering Rule:

Min Scale: 0

Max Scale: 0

Copyright Text: (TDep) modeling system (https://nadp.slh.wisc.edu/committees/tdep/); (Tdep Program, https://nadp.slh.wisc.edu/committees/tdep/); Schwede, D.B. and G.G. Lear, 2014. A novel hybrid approach for estimating total deposition in the United States. Atmospheric Environment, 92, 207-220.

Service Data Type: esriImageServiceDataTypeScientific

Min Values: 0

Max Values: 50

Mean Values: 6.4770000000000003

Standard Deviation Values: 5.4509999999999996

Object ID Field: objectid

Fields:

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Default Mosaic Method: ByAttribute

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

SortField: StdTime

SortValue: 0

Mosaic Operator: First

Default Compression Quality: 75

Default Resampling Method: Bilinear

Max Record Count: 1000

Max Image Height: 100000

Max Image Width: 100000

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: N/A

Ownership Based AccessControl For Rasters: N/A

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

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