Temperature-at-Reference-Height: Surface Air Temperature at Reference Height (TREFHT)

In wrathematics/pbdDEMO: Programming with Big Data -- Demonstrations and Examples Using 'pbdR' Packages

Description

This is a practical example in NetCDF4 format and for data reading, writing, and transforming. This dataset is a partial output of the Surface Air Temperature at Reference Height (TREFHT) which is monthly averaged of Jan. 2004 from a CAM5 simulation. This dataset only contains a tiny part of ultra-large simulations conducted by Mr Prabhat and Michael Wehner of Lawrence Berkeley National Laboratory.

Format

An R data file contains two lists: def for structure definition of “TREFHT” in ncvar4 class (see pbdNCDF4 package for details), and data for output values of simulation in a matrix where rows are for 1152 longitudes and columns are for 768 latitudes.

Details

Version 5.0 of the Community Atmosphere Model (CAM) is the latest in a series of global atmosphere models developed primarily at the National Center for Atmospheric Research (NCAR).

TREFHT contains two lists: def and data.

def is a list contains usual definitions of NetCDF4. In this case, they define the variable “TREFHT” including 2D dimensions 1152 longitudes and 768 latitudes, 1 time step, the unit in Kelvin, ... etc.

data contains values in matrix with dimension 1152*768. Note that this matrix stores data in C format (column major), so it needs a transpose to obtains the R/Fortran format (row major). Also, the longitude order is not the same as the maps package. Please see the example below for the adjustment or by calling demo('trefht','pbdDEMO') inside an R session.

Author(s)

Mr Prabhat and Michael Wehner.

References

More datasets are available on ESGF (http://www.earthsystemgrid.org/) through the C20C project (on the NERSC portal).

CAM5: http://www.cesm.ucar.edu/models/cesm1.0/cam/

Programming with Big Data in R Website: http://r-pbd.org/

See Also

ncvar_put_2D and ncvar_get_2D.

Examples

 ## Not run:  library(maps)
library(RColorBrewer)
library(pbdDEMO, quiet = TRUE)

lon <- TREFHT$def$dim[[1]]$vals               # longitude
lat <- TREFHT$def$dim[[2]]$vals               # latitude
da <- TREFHT$data                             # surface temperature

# Define Axes.
x <- c(lon[lon > 180] -360, lon[lon <= 195])  # adjustment for maps
y <- lat
z <- rbind(da[lon > 180,], da[lon <= 195,])   # adjustment for maps
xlim <- range(x)
ylim <- range(y)
zlim <- range(z)
col.z <- c(colorRampPalette(c("#0000FF", "#2BFCD3"))(100),
           colorRampPalette(c("#2BFCD3", "#5300AB"))(100),
           colorRampPalette(c("#5300AB", "#7CFA82"))(100),
           colorRampPalette(c("#7CFA82", "#A90055"))(100),
           colorRampPalette(c("#A90055", "#D6FC28"))(100),
           colorRampPalette(c("#D6FC28", "#FE0001"))(100))

# Plot
layout(matrix(c(1, 2), ncol = 1), heights = c(2, 1))
par(mar = c(4, 4, 4, 0))
plot(NULL, NULL, xlim = xlim, ylim = ylim, type = "n", axes = FALSE,
     xlab = "Longitude", ylab = "Latitude", main = "TREFHT (Jan. 2004)")
image(x, y, z, zlim = zlim, xlim = xlim, ylim = ylim,
      col = col.z, add = TRUE)

# Add Map.
map(add = TRUE)
abline(h = c(-23.5, 0, 23.5), v = 0, lty = 2)
xtickets <- seq(-180, 180, by = 30)
ytickets <- seq(-90, 90, by = 30)
box()
axis(1, at = xtickets, labels = xtickets)
axis(2, at = ytickets, labels = ytickets)

# Add Legend.
z.temp <- matrix(seq(zlim[1], zlim[2], length = 500), ncol = 1)
ztickets <- seq(230, 300, by = 10)
par(mar = c(4, 4, 0, 1))
plot(NULL, NULL, xlim = zlim, ylim = c(0, 1), type = "n", axes = FALSE,
     xlab = "TREFHT (Kelvin)", ylab = "")
image(z.temp, 0, z.temp, zlim = zlim, xlim = zlim, ylim = c(0, 1),
      col = col.z, add = TRUE)
axis(1, at = ztickets, labels = ztickets)

## End(Not run)

wrathematics/pbdDEMO documentation built on May 4, 2019, 10:53 a.m.