| RCMexample {fields} | R Documentation |
Transformed surface precipitation fields simulated by the WRFP regional climate model (RCM) over North Amreica forced by observation data. The fields are 3 hour precipitation for 8 time periods in January 1, 1979. The grid is unequally spaced in longitude and latitude but near equally in a more appropriate projection centered on the model domain. Precipitation is in a log 10 scale where values smaller than 4.39e-5 ( the .87 quantile) have been been set to this value.
data(RCMexample)
The format is a list of three arrays:
Units are degrees with longitude being 0-360 westward from the prime meridian. (See the shift argument in world for overlaying world map.) Precipitation is log 10 of cm / 3 hour period.
This is primarily an example of a regular grid that is not equally spaced and is due to transforming an equally spaced grid from one map projection into longitude latitude coordinates. This model is one small part of an extension series of numerical experiments the North American Regional Climate Change and Assessment Program (NARCCAP). NARCCAP has used 4 global climate models and observational data to supply the atmospheric boundery conditions for 6 different regional climate models. In the current data the forcing is the observations derived from the NCEP reanalysis data and is for Janurary 1, 1979. The full simulation runs for 20 years from this starting date. See www.image.ucar.edu/Data for more information about these data.
To facilatate an animation of these fields the raw precipitation values have been transformed to the log scale with all values below 4.39E-5 cm/3 hours set to this lower bound.
data(RCMexample) # second time period image.plot( RCMexample$x, RCMexample$y, RCMexample$z[,,2]) world( add=TRUE, shift=TRUE, lwd=2)