ArcGIS REST Services Directory Login
JSON | SOAP

awra_historical/physical_day_crf_multivariable_archive_2005_2019_data (ImageServer)

View In:   ArcGIS JavaScript   ArcGIS Online Map Viewer   ArcGIS Earth   ArcMap

View Footprint In:   ArcGIS Online Map Viewer

Service Description: Operational modelled long-term historical landscape water balance variables from the Bureau of Meteorology’s Australian Water Outlook (awo.bom.gov.au).

This endpoint allows you to access the modelled long-term historical outputs of the Bureau’s Australian Water Resources Assessment – Landscape (AWRA-L) hydrological model, including precipitation and modelled soil moisture, evapotranspiration (potential and actual), runoff and deep drainage, from 1911 until yesterday.

The AWRA-L model is a daily 0.05° grid-based, distributed water balance model, conceptualised as a small unimpaired catchment. It simulates the flow of water through the landscape with precipitation entering the grid cell through vegetation and soil moisture stores and then out of the grid cell as evapotranspiration, runoff or deep drainage to the groundwater.
The following modelled hydrological variables are accessible via this end-point:  
  1. asce_pet: Reference crop evapotranspiration - Tall (mm)
  2. dd: Deep Drainage (mm)
  3. e0: Modelled landscape potential evapotranspiration (mm)
  4. etot: Modelled landscape actual evapotranspiration (mm)
  5. fao_pet: Reference crop evapotranspiration - Short (mm)
  6. ma_wet: Areal potential evapotranspiration (mm)
  7. msl_wet: Open water evaporation (mm)
  8. pen_pet: Synthetic pan evaporation (mm)
  9. qtot: Runoff (mm)
  10. rain_day: Precipitation (mm)
  11. s0_pct: Upper soil moisture (0-0.1m depth) (% full)
  12. sd_pct: Deep soil moisture (1-6m depth) (% full)
  13. sm_pct: Root zone soil moisture (0-1m depth) (% full)
  14. ss_pct: Lower soil moisture (0.1-1m depth) (% full)

This end-point provides the modelled outputs in modelled absolute units, per the list above.

Regarding the soil moisture variables: the water contents are estimates of the available water content for each modelled time-period. Where % full units are used, these provide the data as a percentage of the overall water holding capacity to soil saturation.

If you would like to access the modelled values in terms of relative percentiles compared to long-term climatological records, please see the end-point in this portal titled:

AWO Modelled Historical Water Balance Variables - Daily (2005-2019) - Relative Percentiles, CRF

For more information about how these modelled variables were produced, and how to interpret them, please see the About historical page on the AWO website. That page also contains links to detailed technical reports and scientific journal articles.

Name: awra_historical/physical_day_crf_multivariable_archive_2005_2019_data

Description: Operational modelled long-term historical landscape water balance variables from the Bureau of Meteorology’s Australian Water Outlook (awo.bom.gov.au).

This endpoint allows you to access the modelled long-term historical outputs of the Bureau’s Australian Water Resources Assessment – Landscape (AWRA-L) hydrological model, including precipitation and modelled soil moisture, evapotranspiration (potential and actual), runoff and deep drainage, from 1911 until yesterday.

The AWRA-L model is a daily 0.05° grid-based, distributed water balance model, conceptualised as a small unimpaired catchment. It simulates the flow of water through the landscape with precipitation entering the grid cell through vegetation and soil moisture stores and then out of the grid cell as evapotranspiration, runoff or deep drainage to the groundwater.
The following modelled hydrological variables are accessible via this end-point:  
  1. asce_pet: Reference crop evapotranspiration - Tall (mm)
  2. dd: Deep Drainage (mm)
  3. e0: Modelled landscape potential evapotranspiration (mm)
  4. etot: Modelled landscape actual evapotranspiration (mm)
  5. fao_pet: Reference crop evapotranspiration - Short (mm)
  6. ma_wet: Areal potential evapotranspiration (mm)
  7. msl_wet: Open water evaporation (mm)
  8. pen_pet: Synthetic pan evaporation (mm)
  9. qtot: Runoff (mm)
  10. rain_day: Precipitation (mm)
  11. s0_pct: Upper soil moisture (0-0.1m depth) (% full)
  12. sd_pct: Deep soil moisture (1-6m depth) (% full)
  13. sm_pct: Root zone soil moisture (0-1m depth) (% full)
  14. ss_pct: Lower soil moisture (0.1-1m depth) (% full)

This end-point provides the modelled outputs in modelled absolute units, per the list above.

Regarding the soil moisture variables: the water contents are estimates of the available water content for each modelled time-period. Where % full units are used, these provide the data as a percentage of the overall water holding capacity to soil saturation.

If you would like to access the modelled values in terms of relative percentiles compared to long-term climatological records, please see the end-point in this portal titled:

AWO Modelled Historical Water Balance Variables - Daily (2005-2019) - Relative Percentiles, CRF

For more information about how these modelled variables were produced, and how to interpret them, please see the About historical page on the AWO website. That page also contains links to detailed technical reports and scientific journal articles.

Single Fused Map Cache: false

Extent: Initial Extent: Full Extent: Time Info: Pixel Size X: 0.05000000000000002

Pixel Size Y: 0.05000000000000001

Band Count: 1

Pixel Type: F32

RasterFunction Infos: {"rasterFunctionInfos": [ { "name": "None", "description": "Make a Raster or Raster Dataset into a Function Raster Dataset.", "help": "" }, { "name": "e0_day", "description": "A raster function table that categorises evaporation in mm to 10 categories and colours based on corporate colours for measurements in mm for monthly data.", "help": "\n " }, { "name": "etot_day", "description": "A raster function table that categorises total modelled evaporation in mm to 10 categories and colours based on corporate colours for measurements in mm for daily data.", "help": "\n " }, { "name": "qtot_day", "description": "A raster function table that categorises runoff in mm to 10 categories and colours based on corporate colours for measurements in mm for daily data.", "help": "\n " }, { "name": "dd_day", "description": "A raster function table that categorises deep drainage in mm to 10 categories and colours based on corporate colours for measurements in mm for daily data.", "help": "\n " }, { "name": "precip_day", "description": "A raster function table that categorises precipitation in mm to 10 categories and colours based on corporate colours for measurements in mm for daily data.", "help": "\n " }, { "name": "smpfull", "description": "A raster function table that categorises soil moisture in percent sull to 10 categories and colours based on corporate colours for measurements in percentages.", "help": "\n " }, { "name": "precip_day", "description": "A raster function table that categorises precipitation in mm to 10 categories and colours based on corporate colours for measurements in mm for daily data.", "help": "\n " }, { "name": "None", "description": "Make a Raster or Raster Dataset into a Function Raster Dataset.", "help": "" } ]}

Mensuration Capabilities: Basic

Has Histograms: true

Has Colormap: false

Has Multi Dimensions : true

Rendering Rule:

Min Scale: 0

Max Scale: 0

Copyright Text: We request attribution as © Commonwealth of Australia (Bureau of Meteorology) 2022

Service Data Type: esriImageServiceDataTypeScientific

Min Values: -3.4288885593414307

Max Values: 294559.1875

Mean Values: 9.813833003185392

Standard Deviation Values: 705.8031584925895

Object ID Field:

Fields: None

Default Mosaic Method: Center

Allowed Mosaic Methods:

SortField:

SortValue: null

Mosaic Operator: First

Default Compression Quality: 10000

Default Resampling Method: Bilinear

Max Record Count: null

Max Image Height: 5000

Max Image Width: 5000

Max Download Image Count: null

Max Mosaic Image Count: null

Allow Raster Function: true

Allow Copy: true

Allow Analysis: true

Allow Compute TiePoints: false

Supports Statistics: false

Supports Advanced Queries: false

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   Multidimensional Info   Slices

Supported Operations:   Export Image   Identify   Measure   Compute Histograms   Compute Statistics Histograms   Get Samples   Compute Class Statistics   Query Boundary   Compute Pixel Location   Compute Angles   Validate   Project