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module grid_noro_m |
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|
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implicit none |
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|
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contains |
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|
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SUBROUTINE grid_noro(xdata, ydata, zdata, x, y, zphi, zmea, zstd, zsig, & |
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zgam, zthe, zpic, zval, mask) |
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|
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! From dyn3d/grid_noro.F, version 1.1.1.1 2004/05/19 12:53:06 |
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|
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! Authors: François Lott, Laurent Li, A. Harzallah and Laurent |
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! Fairhead |
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|
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! Compute the parameters of the sub-grid scale orography scheme as |
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! described in Lott and Miller (1997) and Lott (1999). |
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|
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! Target points are on a rectangular grid: |
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! jjm + 1 latitudes including North and South Poles; |
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! iim + 1 longitudes, with periodicity: longitude(iim + 1) = longitude(1) |
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! At the poles the field value is repeated iim + 1 times. |
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|
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! The parameters a, b, c, d represent the limite of the target |
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! gridpoint region. The means over this region are calculated from |
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! US Navy data, ponderated by a weight proportional to the surface |
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! occupied by the data inside the model gridpoint area. In most |
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! circumstances, this weight is the ratio between the surface of |
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! the US Navy gridpoint area and the surface of the model gridpoint |
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! area. See "grid_noto.txt". |
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|
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use dimens_m, only: iim, jjm |
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use mva9_m, only: mva9 |
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use nr_util, only: assert, pi |
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|
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REAL, intent(in):: xdata(:), ydata(:) ! coordinates of input field |
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REAL, intent(in):: zdata(:, :) ! input field |
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REAL, intent(in):: x(:), y(:) ! coordinates of output field |
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|
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! Correlations of US Navy orography gradients: |
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REAL, intent(out):: zphi(:, :) ! orography not smoothed |
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real, intent(out):: zmea(:, :) ! smoothed orography |
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real, intent(out):: zstd(:, :) ! Standard deviation |
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REAL, intent(out):: zsig(:, :) ! Slope |
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real, intent(out):: zgam(:, :) ! Anisotropy |
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real, intent(out):: zthe(:, :) ! Orientation of the small axis |
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REAL, intent(out):: zpic(:, :) ! Maximum altitude |
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real, intent(out):: zval(:, :) ! Minimum altitude |
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|
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real, intent(out):: mask(:, :) ! fraction of land |
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|
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! Variables local to the procedure: |
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|
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! In this version it is assumed that the input data come from |
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! the US Navy dataset: |
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integer, parameter:: iusn = 2160, jusn = 1080 |
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integer, parameter:: iext = 216 |
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REAL xusn(iusn + 2 * iext), yusn(jusn + 2) |
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REAL zusn(iusn + 2 * iext, jusn + 2) |
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|
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! Intermediate fields (correlations of orography gradient) |
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REAL, dimension(iim + 1, jjm + 1):: ztz, zxtzx, zytzy, zxtzy, weight |
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|
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! Correlations of US Navy orography gradients: |
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REAL, dimension(iusn + 2 * iext, jusn + 2):: zxtzxusn, zytzyusn, zxtzyusn |
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|
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real, dimension(iim + 1, jjm + 1):: mask_tmp, num_tot, num_lan, zmea0 |
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REAL a(iim + 1), b(iim + 1), c(jjm + 1), d(jjm + 1) |
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real weighx, weighy, xincr, xk, xp, xm, xw, xq, xl |
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real zbordnor, zdeltax, zbordsud, zdeltay, zbordoue, zlenx, zleny, zmeasud |
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real zllmpic, zllmmea, zllmgam, zllmthe, zllmstd, zllmsig, zllmval |
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real zpicnor, zminthe, zsigsud, zstdnor, zstdsud, zvalsud, zvalnor |
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real zweinor, zweisud, zsignor, zpicsud, zmeanor, zbordest |
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integer ii, i, jj, j |
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real, parameter:: rad = 6371229. |
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|
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!------------------------------- |
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|
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print *, "Call sequence information: grid_noro" |
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|
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call assert((/size(xdata), size(zdata, 1)/) == iusn, "grid_noro iusn") |
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call assert((/size(ydata), size(zdata, 2)/) == jusn, "grid_noro jusn") |
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|
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call assert((/size(x), size(zphi, 1), size(zmea, 1), size(zstd, 1), & |
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size(zsig, 1), size(zgam, 1), size(zthe, 1), size(zpic, 1), & |
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size(zval, 1), size(mask, 1)/) == iim + 1, "grid_noro iim") |
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|
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call assert((/size(y), size(zphi, 2), size(zmea, 2), size(zstd, 2), & |
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size(zsig, 2), size(zgam, 2), size(zthe, 2), size(zpic, 2), & |
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size(zval, 2), size(mask, 2)/) == jjm + 1, "grid_noro jjm") |
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|
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print *, "Paramètres de l'orographie à l'échelle sous-maille" |
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zdeltay = 2. * pi / real(jusn) * rad |
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|
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! Extension of the US Navy database for computations at boundaries: |
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|
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DO j = 1, jusn |
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yusn(j + 1) = ydata(j) |
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DO i = 1, iusn |
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zusn(i + iext, j + 1) = zdata(i, j) |
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xusn(i + iext) = xdata(i) |
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ENDDO |
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DO i = 1, iext |
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zusn(i, j + 1) = zdata(iusn - iext + i, j) |
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xusn(i) = xdata(iusn - iext + i) - 2. * pi |
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zusn(iusn + iext + i, j + 1) = zdata(i, j) |
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xusn(iusn + iext + i) = xdata(i) + 2. * pi |
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ENDDO |
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ENDDO |
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|
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yusn(1) = ydata(1) + (ydata(1) - ydata(2)) |
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yusn(jusn + 2) = ydata(jusn) + (ydata(jusn) - ydata(jusn - 1)) |
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DO i = 1, iusn / 2 + iext |
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zusn(i, 1) = zusn(i + iusn / 2, 2) |
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zusn(i + iusn / 2 + iext, 1) = zusn(i, 2) |
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zusn(i, jusn + 2) = zusn(i + iusn / 2, jusn + 1) |
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zusn(i + iusn / 2 + iext, jusn + 2) = zusn(i, jusn + 1) |
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ENDDO |
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|
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! Compute limits of model gridpoint area (regular grid) |
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|
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a(1) = x(1) - (x(2) - x(1)) / 2.0 |
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b(1) = (x(1) + x(2)) / 2.0 |
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DO i = 2, iim |
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a(i) = b(i - 1) |
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b(i) = (x(i) + x(i + 1)) / 2.0 |
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ENDDO |
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a(iim + 1) = b(iim) |
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b(iim + 1) = x(iim + 1) + (x(iim + 1) - x(iim)) / 2.0 |
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|
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c(1) = y(1) - (y(2) - y(1)) / 2.0 |
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d(1) = (y(1) + y(2)) / 2.0 |
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DO j = 2, jjm |
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c(j) = d(j - 1) |
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d(j) = (y(j) + y(j + 1)) / 2.0 |
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ENDDO |
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c(jjm + 1) = d(jjm) |
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d(jjm + 1) = y(jjm + 1) + (y(jjm + 1) - y(jjm)) / 2.0 |
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|
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! Initialisations : |
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weight = 0. |
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zxtzx = 0. |
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zytzy = 0. |
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zxtzy = 0. |
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ztz = 0. |
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zmea = 0. |
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zpic = - 1E10 |
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zval = 1E10 |
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|
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! Compute slopes correlations on US Navy grid |
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|
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zytzyusn = 0. |
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zxtzxusn = 0. |
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zxtzyusn = 0. |
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|
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DO j = 2, jusn + 1 |
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zdeltax = zdeltay * cos(yusn(j)) |
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DO i = 2, iusn + 2 * iext - 1 |
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zytzyusn(i, j) = (zusn(i, j + 1) - zusn(i, j - 1))**2 / zdeltay**2 |
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zxtzxusn(i, j) = (zusn(i + 1, j) - zusn(i - 1, j))**2 / zdeltax**2 |
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zxtzyusn(i, j) = (zusn(i, j + 1) - zusn(i, j - 1)) / zdeltay & |
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* (zusn(i + 1, j) - zusn(i - 1, j)) / zdeltax |
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ENDDO |
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ENDDO |
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|
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! Summation over gridpoint area |
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|
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zleny = pi / real(jusn) * rad |
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xincr = pi / 2. / real(jusn) |
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DO ii = 1, iim + 1 |
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DO jj = 1, jjm + 1 |
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num_tot(ii, jj) = 0. |
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num_lan(ii, jj) = 0. |
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DO j = 2, jusn + 1 |
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zlenx = zleny * cos(yusn(j)) |
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zdeltax = zdeltay * cos(yusn(j)) |
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zbordnor = (c(jj) - yusn(j) + xincr) * rad |
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zbordsud = (yusn(j) - d(jj) + xincr) * rad |
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weighy = MAX(0., min(zbordnor, zbordsud, zleny)) |
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IF (weighy /= 0) THEN |
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DO i = 2, iusn + 2 * iext - 1 |
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zbordest = (xusn(i) - a(ii) + xincr) * rad * cos(yusn(j)) |
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zbordoue = (b(ii) + xincr - xusn(i)) * rad * cos(yusn(j)) |
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weighx = MAX(0., min(zbordest, zbordoue, zlenx)) |
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IF (weighx /= 0) THEN |
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num_tot(ii, jj) = num_tot(ii, jj) + 1. |
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if (zusn(i, j) >= 1.) then |
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num_lan(ii, jj) = num_lan(ii, jj) + 1. |
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end if |
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weight(ii, jj) = weight(ii, jj) + weighx * weighy |
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zxtzx(ii, jj) = zxtzx(ii, jj) & |
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+ zxtzxusn(i, j) * weighx * weighy |
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zytzy(ii, jj) = zytzy(ii, jj) & |
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+ zytzyusn(i, j) * weighx * weighy |
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zxtzy(ii, jj) = zxtzy(ii, jj) & |
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+ zxtzyusn(i, j) * weighx * weighy |
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ztz(ii, jj) = ztz(ii, jj) & |
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+ zusn(i, j) * zusn(i, j) * weighx * weighy |
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! mean |
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zmea(ii, jj) = zmea(ii, jj) + zusn(i, j) * weighx * weighy |
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! peacks |
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zpic(ii, jj) = max(zpic(ii, jj), zusn(i, j)) |
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! valleys |
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zval(ii, jj) = min(zval(ii, jj), zusn(i, j)) |
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ENDIF |
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ENDDO |
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ENDIF |
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ENDDO |
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ENDDO |
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ENDDO |
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|
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if (any(weight == 0.)) then |
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print *, "zero weight in grid_noro" |
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stop 1 |
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end if |
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|
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! Compute parameters needed by the Lott & Miller (1997) and Lott |
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! (1999) subgrid-scale orographic scheme. |
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|
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zllmmea = 0. |
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zllmstd = 0. |
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zllmsig = 0. |
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zllmgam = 0. |
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zllmpic = 0. |
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zllmval = 0. |
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zllmthe = 0. |
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zminthe = 0. |
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DO ii = 1, iim + 1 |
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DO jj = 1, jjm + 1 |
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mask(ii, jj) = num_lan(ii, jj) / num_tot(ii, jj) |
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! Mean orography: |
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zmea (ii, jj) = zmea (ii, jj) / weight(ii, jj) |
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zxtzx(ii, jj) = zxtzx(ii, jj) / weight(ii, jj) |
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zytzy(ii, jj) = zytzy(ii, jj) / weight(ii, jj) |
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zxtzy(ii, jj) = zxtzy(ii, jj) / weight(ii, jj) |
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ztz(ii, jj) = ztz(ii, jj) / weight(ii, jj) |
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! Standard deviation: |
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zstd(ii, jj) = sqrt(MAX(0., ztz(ii, jj) - zmea(ii, jj)**2)) |
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ENDDO |
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ENDDO |
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|
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! Correct values of horizontal slope near the poles: |
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DO ii = 1, iim + 1 |
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zxtzx(ii, 1) = zxtzx(ii, 2) |
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zxtzx(ii, jjm + 1) = zxtzx(ii, jjm) |
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zxtzy(ii, 1) = zxtzy(ii, 2) |
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zxtzy(ii, jjm + 1) = zxtzy(ii, jjm) |
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zytzy(ii, 1) = zytzy(ii, 2) |
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zytzy(ii, jjm + 1) = zytzy(ii, jjm) |
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ENDDO |
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|
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zmea0 = zmea ! not smoothed |
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|
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! Filters to smooth out fields for input into subgrid-scale |
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! orographic scheme. |
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|
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! First filter, moving average over 9 points. |
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CALL MVA9(zmea) |
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CALL MVA9(zstd) |
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CALL MVA9(zpic) |
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CALL MVA9(zval) |
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CALL MVA9(zxtzx) |
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CALL MVA9(zxtzy) |
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CALL MVA9(zytzy) |
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|
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! Masque prenant en compte maximum de terre. On met un seuil à 10 |
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! % de terre car en dessous les paramètres de surface n'ont pas de |
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! sens. |
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mask_tmp = merge(1., 0., mask >= 0.1) |
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|
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DO ii = 1, iim |
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DO jj = 1, jjm + 1 |
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! Coefficients K, L et M: |
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xk = (zxtzx(ii, jj) + zytzy(ii, jj)) / 2. |
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xl = (zxtzx(ii, jj) - zytzy(ii, jj)) / 2. |
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xm = zxtzy(ii, jj) |
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xp = xk - sqrt(xl**2 + xm**2) |
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xq = xk + sqrt(xl**2 + xm**2) |
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xw = 1e-8 |
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if(xp.le.xw) xp = 0. |
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if(xq.le.xw) xq = xw |
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if(abs(xm).le.xw) xm = xw * sign(1., xm) |
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! modification pour masque de terre fractionnaire |
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! slope: |
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zsig(ii, jj) = sqrt(xq) * mask_tmp(ii, jj) |
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! isotropy: |
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zgam(ii, jj) = xp / xq * mask_tmp(ii, jj) |
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! angle theta: |
| 288 |
zthe(ii, jj) = 57.29577951 * atan2(xm, xl) / 2. * mask_tmp(ii, jj) |
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zphi(ii, jj) = zmea0(ii, jj) * mask_tmp(ii, jj) |
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zmea(ii, jj) = zmea(ii, jj) * mask_tmp(ii, jj) |
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zpic(ii, jj) = zpic(ii, jj) * mask_tmp(ii, jj) |
| 292 |
zval(ii, jj) = zval(ii, jj) * mask_tmp(ii, jj) |
| 293 |
zstd(ii, jj) = zstd(ii, jj) * mask_tmp(ii, jj) |
| 294 |
zllmmea = MAX(zmea(ii, jj), zllmmea) |
| 295 |
zllmstd = MAX(zstd(ii, jj), zllmstd) |
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zllmsig = MAX(zsig(ii, jj), zllmsig) |
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zllmgam = MAX(zgam(ii, jj), zllmgam) |
| 298 |
zllmthe = MAX(zthe(ii, jj), zllmthe) |
| 299 |
zminthe = min(zthe(ii, jj), zminthe) |
| 300 |
zllmpic = MAX(zpic(ii, jj), zllmpic) |
| 301 |
zllmval = MAX(zval(ii, jj), zllmval) |
| 302 |
ENDDO |
| 303 |
ENDDO |
| 304 |
|
| 305 |
print *, 'MEAN ORO: ', zllmmea |
| 306 |
print *, 'ST. DEV.: ', zllmstd |
| 307 |
print *, 'PENTE: ', zllmsig |
| 308 |
print *, 'ANISOTROP: ', zllmgam |
| 309 |
print *, 'ANGLE: ', zminthe, zllmthe |
| 310 |
print *, 'pic: ', zllmpic |
| 311 |
print *, 'val: ', zllmval |
| 312 |
|
| 313 |
! gamma and theta at 1. and 0. at poles |
| 314 |
zmea(iim + 1, :) = zmea(1, :) |
| 315 |
zphi(iim + 1, :) = zphi(1, :) |
| 316 |
zpic(iim + 1, :) = zpic(1, :) |
| 317 |
zval(iim + 1, :) = zval(1, :) |
| 318 |
zstd(iim + 1, :) = zstd(1, :) |
| 319 |
zsig(iim + 1, :) = zsig(1, :) |
| 320 |
zgam(iim + 1, :) = zgam(1, :) |
| 321 |
zthe(iim + 1, :) = zthe(1, :) |
| 322 |
|
| 323 |
zmeanor = 0. |
| 324 |
zmeasud = 0. |
| 325 |
zstdnor = 0. |
| 326 |
zstdsud = 0. |
| 327 |
zsignor = 0. |
| 328 |
zsigsud = 0. |
| 329 |
zweinor = 0. |
| 330 |
zweisud = 0. |
| 331 |
zpicnor = 0. |
| 332 |
zpicsud = 0. |
| 333 |
zvalnor = 0. |
| 334 |
zvalsud = 0. |
| 335 |
|
| 336 |
DO ii = 1, iim |
| 337 |
zweinor = zweinor + weight(ii, 1) |
| 338 |
zweisud = zweisud + weight(ii, jjm + 1) |
| 339 |
zmeanor = zmeanor + zmea(ii, 1) * weight(ii, 1) |
| 340 |
zmeasud = zmeasud + zmea(ii, jjm + 1) * weight(ii, jjm + 1) |
| 341 |
zstdnor = zstdnor + zstd(ii, 1) * weight(ii, 1) |
| 342 |
zstdsud = zstdsud + zstd(ii, jjm + 1) * weight(ii, jjm + 1) |
| 343 |
zsignor = zsignor + zsig(ii, 1) * weight(ii, 1) |
| 344 |
zsigsud = zsigsud + zsig(ii, jjm + 1) * weight(ii, jjm + 1) |
| 345 |
zpicnor = zpicnor + zpic(ii, 1) * weight(ii, 1) |
| 346 |
zpicsud = zpicsud + zpic(ii, jjm + 1) * weight(ii, jjm + 1) |
| 347 |
zvalnor = zvalnor + zval(ii, 1) * weight(ii, 1) |
| 348 |
zvalsud = zvalsud + zval(ii, jjm + 1) * weight(ii, jjm + 1) |
| 349 |
ENDDO |
| 350 |
|
| 351 |
zmea(:, 1) = zmeanor / zweinor |
| 352 |
zmea(:, jjm + 1) = zmeasud / zweisud |
| 353 |
|
| 354 |
zphi(:, 1) = zmeanor / zweinor |
| 355 |
zphi(:, jjm + 1) = zmeasud / zweisud |
| 356 |
|
| 357 |
zpic(:, 1) = zpicnor / zweinor |
| 358 |
zpic(:, jjm + 1) = zpicsud / zweisud |
| 359 |
|
| 360 |
zval(:, 1) = zvalnor / zweinor |
| 361 |
zval(:, jjm + 1) = zvalsud / zweisud |
| 362 |
|
| 363 |
zstd(:, 1) = zstdnor / zweinor |
| 364 |
zstd(:, jjm + 1) = zstdsud / zweisud |
| 365 |
|
| 366 |
zsig(:, 1) = zsignor / zweinor |
| 367 |
zsig(:, jjm + 1) = zsigsud / zweisud |
| 368 |
|
| 369 |
zgam(:, 1) = 1. |
| 370 |
zgam(:, jjm + 1) = 1. |
| 371 |
|
| 372 |
zthe(:, 1) = 0. |
| 373 |
zthe(:, jjm + 1) = 0. |
| 374 |
|
| 375 |
END SUBROUTINE grid_noro |
| 376 |
|
| 377 |
end module grid_noro_m |
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