Difference between revisions of "WRF Hindcast"
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=== Create Sector directories === | === Create Sector directories === | ||
== Platforms == | == Platforms == | ||
− | Agrineer's WRF platform is Linux Mint as the operating system on 8-core 64-bit AMD computers, compiled under GNU gfortran with | + | Agrineer's WRF platform is Linux Mint as the operating system on 8-core 64-bit AMD computers, compiled under GNU gfortran with MPICH2 parallel implementation. The Python language is used to integrate all of the working parts, from retrieving input files to uploading results to the server. The dynamic solver model used in WRF is the ARW (Advanced Research WRF) core. |
=== Scripts === | === Scripts === | ||
== User Support == | == User Support == |
Revision as of 20:43, 4 March 2017
Agrineer's WRF Hindcast Project generates the input data used by the Grow Degree Calculator and the Soil Moisture Estimator applications. WRF stands for Weather, Research, and Forecasting and is a program made available by UCAR/NCAR and other research participants.
WRF is normally used to forecast weather, but for our purposes we use it to simulate weather in the past.
Contents
Sectors
The area modeled by the WRF program is called a "domain", but since this implementation uses three nested domains (at 30km, 10km, and 3.3km resolution), the area of interest, the third domain, is called a "sector". Each sector is made up of 171x171 "pixels", 3.3km x 3.3km in size. Client applications can access the pixel's data by indicating latitude and longitude coordinates.
The image to the right depicts the sectors defined, and currently active (operational) sectors are shown in green. This set of sectors are designated WCONUS (Western Continental United States) with an appellation of grid location. Sector rows are given letters and columns are given numbers, with the origin on the bottom right. For example, the bottom right sector is WCONUS_A0 and the top left sector is WCONUS_E4. Grid coordinates are based on data delivery needs and computation capacity. The most eastern sector users will want data earlier than the western ones, by about two hours, and so computation starts with "0" column. Likewise, the most southern sectors will have an earlier planting season than northern ones, and so the most southern row is "A".
Implementation
The WRF climate simulation program requires a sophisticated input stream, consisting of daily data and configuration files, and is usually executed on a parallel computing platform. See Platforms below for Agrineer's implementation. Each sector's output data is calculated off-line and delivered to the web server on a daily basis. Users can expect a maximum of one day delay, with eastern sectors getting results in the morning and western sectors getting results later in the day. A description of input and output files is given below.
Input Files
GFS
Agrineer's implementation of the WRF program uses the Global Forecast System (GFS) forcing files as input. These are files generated by NOAA's National Centers for Environmental Information (NCEI),which are used to force data interpolations to defined values at certain times, projected into the future at six hour intervals. Once a projected time is reached, the forcing file is regenerated using real data instead of projected data and a new set of projected files are generated, and the process repeats itself. This project uses the re-analyzed files at six-hour intervals for historical evaluation. The resolution of the data is 2.5 x 2.5 degrees, and the gridded data is interpolated down to a 0.25 X 0.25 degree resolution to provide finer detail. The data is retrieved from here where the folders are date and interval dependent. To retrieve re-analyzed data for 2017/03/03 interval 00, for example, go to gfs.2017030300, then find gfs.t00z.pgrb2.0p25.f000.
WPS and WRF namelist
WRF Output
Domain sizes 171x171 variables
FAQ
How to Replicate
Download and Install WRF
Create Sector directories
Platforms
Agrineer's WRF platform is Linux Mint as the operating system on 8-core 64-bit AMD computers, compiled under GNU gfortran with MPICH2 parallel implementation. The Python language is used to integrate all of the working parts, from retrieving input files to uploading results to the server. The dynamic solver model used in WRF is the ARW (Advanced Research WRF) core.