#!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
#--------------------------------------------------------------------------------#
# This file is part of the PALM model system.
#
# PALM 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.
#
# PALM 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 should have received a copy of the GNU General Public License along with
# PALM. If not, see <http://www.gnu.org/licenses/>.
#
# Copyright 1997-2021  Leibniz Universitaet Hannover
#--------------------------------------------------------------------------------#
#
# Description:
# ------------
# Processing tool for creating PIDS conform virtual measurement setup file
# from UC2 data-standard conform observational data or from prescribed input
# coordinates.
#
# @Author Matthias Suehring (suehring@muk.uni-hannover.de)
#
#--------------------------------------------------------------------------------#

# Section where some global file attributes can be specified.
[global]

author = Suehring, Matthias, suehring@muk.uni-hannover.de
contact_person = Suehring, Matthias, suehring@muk.uni-hannover.de
acronym = LUHimuk
comment = 
data_content = measurement coordinates
dependencies = 
keywords = virtual measurement setup file
source = 
campaign = winter iop 1
location = B
site = Ernst Reuter Platz
institution = Leibniz Universität Hannover, Institute of Meterology and Climatology # for (UC)2 conform in/output please follow guidelines in table A3
palm_version = 6.0
references = 

# Section for observational input data. If non observational input data is available
# just omit this section.
[input]

data_path = 

# Section to specify the output path and the output filename.
[output]

output_path     = 
output_filename = vm_driver

# Section to specify further sampling locations and sampling variables. Please note,
# at the moment only timeseries can be specified. 
# If non customized sampling location is desired, just set number_positions to zero.
[custom_positions]

# Give the number of custom sampling coordinates
number_positions = 25

# Give site coordinates: E_UTM (m), N_UTM (m), z (m).
# Please give z in meters above ground.
#
#             [ E_UTM,    N_UTM,      z (agl) ]

coordinates1: [ 711329.0, 5091591.0,  32.0      ]
#USPFa
coordinates2: [ 711329.0, 5091591.0,  100.0     ]
#USPFa
coordinates3: [ 711329.0, 5091591.0,  200.0     ]
#USPFa
coordinates4: [ 711329.0, 5091591.0,  396.0     ]
#USPFa
coordinates5: [ 707375.0, 5094421.0,  32.0     ]
#USPFb
coordinates6: [ 708506.0, 5093984.0,  12.0     ]
#USPFc
coordinates7: [ 708506.0, 5093984.0,  20.0     ]
#USPFc
coordinates8: [ 709102.0, 5094136.0,  12.0     ]
#USPFd
coordinates9: [ 709102.0, 5094136.0,  20.0     ]
#USPFd
coordinates10: [ 709111.0, 5095286.0,  32.0     ]
#USPFe
coordinates11: [ 711310.0, 5094719.0,  32.0     ]
#USPFg
coordinates12: [ 713834.0, 5092832.0,  32.0     ]
#USPFh
coordinates13: [ 714370.0, 5094982.0,  32.0     ]
#USPFi
coordinates14: [ 714862.0, 5093550.0,  32.0     ]
#USPFj
coordinates15: [ 706089.0, 5088027.0,  32.0     ]
#USPFk
coordinates16: [ 707913.0, 5090980.0,  20.0     ]
#USPFl
coordinates17: [ 708596.0, 5088752.0,  32.0     ]
#USPFm
coordinates18: [ 710664.0, 5090886.0,  32.0     ]
#USPFn
coordinates19: [ 712088.0, 5090634.0,  32.0     ]
#USPFp
coordinates20: [ 713409.0, 5089638.0,  32.0     ]
#USPFq
coordinates21: [ 713424.0, 5089342.0,  12.0     ]
#USPFr
coordinates22: [ 713424.0, 5089342.0,  20.0     ]
#USPFr
coordinates23: [ 714090.0, 5090877.0,  12.0     ]
#USPFs
coordinates24: [ 714090.0, 5090877.0,  20.0     ]
#USPFs
coordinates25: [ 714885.0, 5088864.0,  32.0     ]
#USPFt

# ...

# Give the variables that shall be sampled. Note, there is a 
# number of default variables that will be always sampled, which is:
# u, v, w, theta and hus (mixing ratio).
# On top of these, you can individually prescribe further variables
# for each site. In order to prescribe further variables, please
# follow the naming convention defined in the [UC]2 data standard.

vars_to_be_measured1: [ "u", "v", "w", "theta", "s" ]
vars_to_be_measured2: [ "u", "v", "w", "theta", "s" ]
vars_to_be_measured3: [ "u", "v", "w", "theta", "s" ]
vars_to_be_measured4: [ "u", "v", "w", "theta", "s" ]
vars_to_be_measured5: [ "u", "v", "w", "theta", "s" ]
vars_to_be_measured6: [ "u", "v", "w", "theta", "s" ]
vars_to_be_measured7: [ "u", "v", "w", "theta", "s" ]
vars_to_be_measured8: [ "u", "v", "w", "theta", "s" ]
vars_to_be_measured9: [ "u", "v", "w", "theta", "s" ]
vars_to_be_measured10: [ "u", "v", "w", "theta", "s" ]
vars_to_be_measured11: [ "u", "v", "w", "theta", "s" ]
vars_to_be_measured12: [ "u", "v", "w", "theta", "s" ]
vars_to_be_measured13: [ "u", "v", "w", "theta", "s" ]
vars_to_be_measured14: [ "u", "v", "w", "theta", "s" ]
vars_to_be_measured15: [ "u", "v", "w", "theta", "s" ]
vars_to_be_measured16: [ "u", "v", "w", "theta", "s" ]
vars_to_be_measured17: [ "u", "v", "w", "theta", "s" ]
vars_to_be_measured18: [ "u", "v", "w", "theta", "s" ]
vars_to_be_measured19: [ "u", "v", "w", "theta", "s" ]
vars_to_be_measured20: [ "u", "v", "w", "theta", "s" ]
vars_to_be_measured21: [ "u", "v", "w", "theta", "s" ]
vars_to_be_measured22: [ "u", "v", "w", "theta", "s" ]
vars_to_be_measured23: [ "u", "v", "w", "theta", "s" ]
vars_to_be_measured24: [ "u", "v", "w", "theta", "s" ]
vars_to_be_measured25: [ "u", "v", "w", "theta", "s" ]

#vars_to_be_measured2: [ "rnds", "wdir" ]
#vars_to_be_measured3: [ "us" ]
#vars_to_be_measured4: [ "utheta", "vtheta", "wtheta", "wspeed" ]
# ...