This site is best viewed on a desktop or laptop and is not mobile device friendly.

Press the "Apply" button in the app below for a demonstration run.
See the SME wiki for detailed instructions on how to use this application for your location and other information.

Note: Roughly 1/2 of the western United States is available for processing. See the image at the bottom of this page.

Note: This is an educational platform to show data science students how to write a research/operational web page. Please refer to our Disclaimer for more information. If you are interested in participating in this project please contact agrineer at agrineer.org.

Soil Moisture Estimator

Latitude:
Longitude:
ETo value (mm):
Latitude:
Longitude:
ETo value (mm):
Latitude:
Longitude:
ETo value (mm):
Latitude:
Longitude:
Precip value (mm):
Latitude:
Longitude:
Precip value (mm):
Latitude:
Longitude:
Precip value (mm):
Run results:

Soil upper layer total water content (mm) for location & run days:
Soil lower layer total water content (mm) for location & run days:
Location (dec. deg)
Dates (yyyymmdd)
No file selected.
No file selected.
No file selected.
No file selected.
Save location and dates
Load location and dates

The Soil Moisture Estimator couples the FAO prescribed method for calculating hourly standard reference evapotranspiration with the Sacramento Soil Moisture Accounting model. Climate data is derived from the Weather Research and Forecasting program calculated on an hourly basis at 3.3km, 10km and 30km resolutions and reported as accumulated daily values. Re-analyzed forcing files are used in a "hindcast" manner and the rendered images show these atmospheric surface loads at the 3 resolutions over the given time period. Use the mouse to hover over the images with a mouse to get pixel values. Valid input dates are from 2017-01-01 through 2019-05-30.

To execute a run reflecting your local conditions, you can create and input your own crop, soil, irrigation and rain input files. The values in your files will be used, not the default values. To use your own files see our SME wiki, Create 'csv' files for formatting instructions on each of the input files.

Available sectors for processing are shown in the green shaded areas above. For more information see the 'Sectors' section in our WRF Hindcast wiki page.


Agrineer.org thanks the following open source software providers. Their code made many of the screen graphic elements of our application much easier to accomplish: OpenSeadragon, OpenSeadragonImagingHelper, Knockout, Flot, D3.