curl | R Documentation |
Calculate the z component of the curl of an x-y vector field.
curl(u, v, x, y, geographical = FALSE, method = 1)
u |
matrix containing the 'x' component of a vector field |
v |
matrix containing the 'y' component of a vector field |
x |
the x values for the matrices, a vector of length equal to the
number of rows in |
y |
the y values for the matrices, a vector of length equal to the
number of cols in |
geographical |
logical value indicating whether |
method |
A number indicating the method to be used to calculate the first-difference approximations to the derivatives. See “Details”. |
The computed component of the curl is defined by \partial
v/\partial x - \partial u/\partial y
and the
estimate is made using first-difference approximations to the derivatives.
Two methods are provided, selected by the value of method
.
For method=1
, a centred-difference, 5-point stencil is used in
the interior of the domain. For example, \partial v/\partial x
is given by the ratio of v_{i+1,j}-v_{i-1,j}
to the
x extent of the grid cell at index j
. (The cell extents depend on
the value of geographical
.) Then, the edges are filled in with
nearest-neighbour values. Finally, the corners are filled in with the
adjacent value along a diagonal. If geographical=TRUE
, then x
and y
are taken to be longitude and latitude in degrees, and the
earth shape is approximated as a sphere with radius 6371km. The resultant
x
and y
are identical to the provided values, and the
resultant curl
is a matrix with dimension identical to that of
u
.
For method=2
, each interior cell in the grid is considered
individually, with derivatives calculated at the cell center. For example,
\partial v/\partial x
is given by the ratio of
0.5*(v_{i+1,j}+v_{i+1,j+1}) -
0.5*(v_{i,j}+v_{i,j+1})
to the average of the x extent of the grid cell at indices j
and
j+1
. (The cell extents depend on the value of
geographical
.) The returned x
and y
values are the
mid-points of the supplied values. Thus, the returned x
and y
are shorter than the supplied values by 1 item, and the returned curl
matrix dimensions are similarly reduced compared with the dimensions of
u
and v
.
A list containing vectors x
and y
, along with matrix
curl
. See “Details” for the lengths and dimensions, for
various values of method
.
Dan Kelley and Chantelle Layton
Other things relating to vector calculus:
grad()
library(oce)
# 1. Shear flow with uniform curl.
x <- 1:4
y <- 1:10
u <- outer(x, y, function(x, y) y / 2)
v <- outer(x, y, function(x, y) -x / 2)
C <- curl(u, v, x, y, FALSE)
# 2. Rankine vortex: constant curl inside circle, zero outside
rankine <- function(x, y) {
r <- sqrt(x^2 + y^2)
theta <- atan2(y, x)
speed <- ifelse(r < 1, 0.5 * r, 0.5 / r)
list(u = -speed * sin(theta), v = speed * cos(theta))
}
x <- seq(-2, 2, length.out = 100)
y <- seq(-2, 2, length.out = 50)
u <- outer(x, y, function(x, y) rankine(x, y)$u)
v <- outer(x, y, function(x, y) rankine(x, y)$v)
C <- curl(u, v, x, y, FALSE)
# plot results
par(mfrow = c(2, 2))
imagep(x, y, u, zlab = "u", asp = 1)
imagep(x, y, v, zlab = "v", asp = 1)
imagep(x, y, C$curl, zlab = "curl", asp = 1)
hist(C$curl, breaks = 100)
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