Prepare daily LAI fields (e.g., MODIS data) for mHM. More...

Functions/Subroutines
subroutine, public	prepare_gridded_daily_lai_data (idomain, nrows, ncols, mask, laiper_idomain)
	Prepare gridded daily LAI data.

subroutine, public	prepare_gridded_mean_monthly_lai_data (idomain, nrows, ncols, mask)
	prepare_gridded_mean_monthly_LAI_data

Detailed Description

Prepare daily LAI fields (e.g., MODIS data) for mHM.

Prepare daily LAI fields(e.g., MODIS data) for mHM

Authors: John Craven & Rohini Kumar

Date: Aug 2013

Copyright: Copyright 2005-2025 , the mHM Developers, Luis Samaniego, Sabine Attinger: All rights reserved. mHM is released under the LGPLv3+ license

The UFZ(CHS) mesoscale hydrologic model mHM is free software. You can redistribute it and/or modify it under the terms of the GNU General Public License as published by the free Software Foundation either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You received a copy of the GNU Lesser General Public License along with the UFZ CHS mesoscale hydrologic model mHM. It can be found in the files COPYING and COPYING.LESSER provided with this software. The complete GNU license text can also be found at http://www.gnu.org/licenses/.

Function/Subroutine Documentation

◆ prepare_gridded_daily_lai_data()

subroutine, public mo_prepare_gridded_lai::prepare_gridded_daily_lai_data	(	integer(i4), intent(in)	idomain,
		integer(i4), intent(in)	nrows,
		integer(i4), intent(in)	ncols,
		logical, dimension(:, :), intent(in)	mask,
		type(period), intent(in), optional	laiper_idomain )

Prepare gridded daily LAI data.

Prepare gridded daily LAI data at Level-0 (e.g., using MODIS datasets)

Parameters

[in]	integer(i4) :: iDomain, nrows, ncols	domain Id
[in]	integer(i4) :: iDomain, nrows, ncols	domain Id
[in]	integer(i4) :: iDomain, nrows, ncols	domain Id
[in]	logical, dimension(:, :) :: mask
[in]	type(period), optional :: LAIPer_iDomain

Authors: John Craven & Rohini Kumar

Date: Aug 2013

Definition at line 61 of file mo_prepare_gridded_lai.f90.

References mo_mpr_global_variables::dirgridded_lai, mo_mpr_global_variables::inputformat_gridded_lai, mo_mpr_global_variables::l0_gridded_lai, mo_mpr_global_variables::laiboundaries, mo_mpr_global_variables::nlai, mo_read_nc::read_nc(), and mo_mpr_global_variables::timestep_lai_input.

Referenced by mo_read_wrapper::read_data().

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◆ prepare_gridded_mean_monthly_lai_data()

subroutine, public mo_prepare_gridded_lai::prepare_gridded_mean_monthly_lai_data	(	integer(i4), intent(in)	idomain,
		integer(i4), intent(in)	nrows,
		integer(i4), intent(in)	ncols,
		logical, dimension(:, :), intent(in)	mask )

prepare_gridded_mean_monthly_LAI_data

Long term mean monthly gridded LAI data at Level-0 (e.g., using MODIS datasets) The netcdf file should contain 12 (calender months) gridded fields of climatological LAI data at the input L0 data resolution.