The WRF Container Project implements WRF version 4.1.
A comparison of ETo values using ground weather station data and calculated data. The numerically predicted ETo values have been compared to ETo values calculated using data from ZiaMet, a pu weather service provided by New Mexico State University. The study run dates are from 2017-05-25 through 2018-07-31. The R^2 values ranged from 0.83 to 0.94, with an average of 0.88 over the nine sites. Accumulated ETo error percentages range from 0.3 to 13.6 with an average of 7.4 percent. More detail can be found here.
Please note that this is a preliminary study based on a limited geographical area. A more thorough study will include other regional stations and dates from 2017-01-01 through 2018-07-31. A second study is planned for run dates 2018-08-01 through 2019-05-31 (or later) which will include modifications to the WRF physics options in order to address a small bias for over-estimating ETo. These dates will need to be regenerated for the new options to take effect.
The GDC model output has been compared to ground sensed Grow Degree units from ZiaMet, a public weather service provided by New Mexico State University. Nine weather stations were studied with an average sample size of 692 days. The R^2 values ranged from 0.96 to 0.98, with an average of 0.97 over the nine sites. Error percentages range from 0.2 to 13.6, with an average of 6.0 percent. Details can be found here.
A
Docker
package which generates the
Weather, Forecast, and Research
(WRF) data used in the
GDC
and
SME
tools has been released by Agrineer.org and can be found
here.
This container has been designed for compute servers
but it can also be run on current multi-core desktop computers.
This web site is based on data generated by the WRF model; a Grow Degree Calculator (GDC) and a Soil Moisture Estimator (SME).
Follow the links on the left navigation bar or on images below to use the applications and to get more information.
. The full software is freely available at GitLab: gitlab.com/agrineer.