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remap.validation_data_native.ERA5.py
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remap.validation_data_native.ERA5.py
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#!/usr/bin/env python
import os, glob, subprocess as sp, datetime, pandas as pd
#---------------------------------------------------------------------------------------------------
class clr:END,RED,GREEN,MAGENTA,CYAN = '\033[0m','\033[31m','\033[32m','\033[35m','\033[36m'
def run_cmd(cmd): print('\n'+clr.GREEN+cmd+clr.END) ; os.system(cmd); return
#---------------------------------------------------------------------------------------------------
usage = f'''
This script is intended to facilitate regridding ERA5 data for hindcast
validation to the native pg2 output grid of E3SM atmosphere data
Example of multiple data files spanning a range of dates/times every 3-hours:
{clr.GREEN}python remap.validation_data_native.ERA5.py --start-date=<yyyymmdd> --final-date=<yyyymmdd> --start-hour=<hh> --final-hour=<hh> --data-freq=3h --scratch-root=<path> --input-root=<path> --output-root=<path>{clr.END}
'''
from optparse import OptionParser
parser = OptionParser(usage=usage)
parser.add_option('--output-grid-ne',dest='output_grid_ne',default=30, help='number of elements (ne) for output grid')
parser.add_option('--start-date', dest='start_date', default=None, help='date of first file [yyyymmdd]')
parser.add_option('--final-date', dest='final_date', default=None, help='date of last file [yyyymmdd] (optional)')
parser.add_option('--start-hour', dest='start_hour', default='00', help='UTC hour of first file (default=00Z)')
parser.add_option('--final-hour', dest='final_hour', default='00', help='UTC hour of last file (default=00Z)')
parser.add_option('--data-freq', dest='data_freq', default='24h', help='frequency of data files (default=24h)')
parser.add_option('--input-root', dest='input_root', default=None, help='Input path for data files')
parser.add_option('--output-root', dest='output_root', default=None, help='Output path for data files')
parser.add_option('--scratch-root', dest='scratch_root', default=None, help='Root path for grid and map files')
parser.add_option('--skip-map', dest='skip_map', action='store_true', default=False, help='Switch to disable grid and map creation')
(opts, args) = parser.parse_args()
#---------------------------------------------------------------------------------------------------
# check that input arguments are valid
if opts.start_date is None: raise ValueError(f'{clr.RED}initialization date was not specified{clr.END}')
if opts.final_date is None: opts.final_date = opts.start_date
if opts.input_root is None: raise ValueError(f'{clr.RED}input root was not specified{clr.END}')
if opts.output_root is None: raise ValueError(f'{clr.RED}output root was not specified{clr.END}')
if opts.scratch_root is None: raise ValueError(f'{clr.RED}scratch root was not specified{clr.END}')
if not os.path.exists(opts.input_root) : raise ValueError(f'{clr.RED}input root does not exist{clr.END}: {opts.input_root}')
if not os.path.exists(opts.output_root): raise ValueError(f'{clr.RED}output root does not exist{clr.END}: {opts.output_root}')
#---------------------------------------------------------------------------------------------------
# build list of dates and times from input arguments
beg_date = datetime.datetime.strptime(f'{opts.start_date} {opts.start_hour}', '%Y%m%d %H')
end_date = datetime.datetime.strptime(f'{opts.final_date} {opts.final_hour}', '%Y%m%d %H')
datetime_list = pd.date_range(beg_date, end_date, freq=opts.data_freq)
# --------------------------------------------------------------------------------------------------
var_list = ['Z','T','Q','U','V','TS','PS']
nlat_src,nlon_src = 721,1440
src_grid_name = f'{nlat_src}x{nlon_src}_n2s'
dst_grid_name = f'ne{opts.output_grid_ne}pg2'
grid_file_root = f'{opts.scratch_root}/files_grid'
map_file_root = f'{opts.scratch_root}/files_map'
src_grid_file = f'{grid_file_root}/scrip_{src_grid_name}.nc'
dst_grid_file = f'{grid_file_root}/scrip_{dst_grid_name}.nc'
map_file = f'{map_file_root}/map_{src_grid_name}_to_{dst_grid_name}.nc'
create_map = True
unpack_raw = True
clean_files = True
regrid_data = True
if opts.skip_map: create_map = False
# ------------------------------------------------------------------------------
# print some informative stuff
map_clr = clr.GREEN if create_map else clr.RED
upk_clr = clr.GREEN if unpack_raw else clr.RED
cln_clr = clr.GREEN if clean_files else clr.RED
rgr_clr = clr.GREEN if regrid_data else clr.RED
print(f'''
start_date : {opts.start_date}
final_date : {opts.final_date}
start_hour : {opts.start_hour}
final_hour : {opts.final_hour}
data_freq : {opts.data_freq}
src_grid_file: {clr.CYAN}{src_grid_file}{clr.END}
dst_grid_file: {clr.CYAN}{dst_grid_file}{clr.END}
map_file : {clr.CYAN}{map_file}{clr.END}
create_map : {map_clr}{create_map}{clr.END}
unpack_raw : {upk_clr}{unpack_raw}{clr.END}
clean_files : {cln_clr}{clean_files}{clr.END}
regrid_data : {rgr_clr}{regrid_data}{clr.END}
''')
# ------------------------------------------------------------------------------
if create_map:
if not os.path.exists(grid_file_root): os.mkdir(grid_file_root)
if not os.path.exists(map_file_root): os.mkdir(map_file_root)
# remove old grid and mapping files
if clean_files :
if os.path.exists(src_grid_file) : run_cmd(f'rm {src_grid_file}')
if os.path.exists(dst_grid_file) : run_cmd(f'rm {dst_grid_file}')
if os.path.exists(map_file) : run_cmd(f'rm {map_file}')
# Generate source grid file:
cmd = f'ncremap -G '
cmd += f'ttl=\'Equi-Angular grid {nlat_src}x{nlon_src}\''
cmd += f'#latlon={nlat_src},{nlon_src}'
cmd += f'#lat_typ=uni'
cmd += f'#lat_drc=n2s'
cmd += f'#lon_typ=grn_ctr '
cmd += f'-g {src_grid_file} '
run_cmd(cmd)
# Generate target grid file:
ne = opts.output_grid_ne
run_cmd(f'GenerateCSMesh --alt --res {ne} --file {grid_file_root}/exodus_ne{ne}.g')
run_cmd(f'GenerateVolumetricMesh --in {grid_file_root}/exodus_ne{ne}.g --out {grid_file_root}/exodus_ne{ne}pg2.g --np 2 --uniform')
run_cmd(f'ConvertMeshToSCRIP --in {grid_file_root}/exodus_ne{ne}pg2.g --out {grid_file_root}/scrip_ne{ne}pg2.nc')
# Generate mapping file:
cmd = f'ncremap -6 --alg_typ=traave '
cmd += f' --src_grd={src_grid_file}'
cmd += f' --dst_grd={dst_grid_file}'
cmd += f' -m {map_file} '
run_cmd(cmd)
# --------------------------------------------------------------------------------------------------
# remap the data
for var in var_list:
for t in datetime_list:
# ------------------------------------------------------------------------
src_file_name = f'{opts.input_root}/ERA5_validation.{var}.{t.strftime("%Y-%m-%d")}.nc'
dst_file_name = src_file_name.replace('.nc',f'.remap_{dst_grid_name}.nc')
# ------------------------------------------------------------------------
if unpack_raw:
run_cmd(f'ncpdq --ovr -U {src_file_name} {src_file_name}')
# ------------------------------------------------------------------------
# remap the data
if regrid_data:
run_cmd(f'ncremap -m {map_file} -i {src_file_name} -o {dst_file_name}')
# --------------------------------------------------------------------------------------------------