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-rw-r--r--aggregator/__init__.py0
-rwxr-xr-xaggregator/dwd_icon.py149
-rwxr-xr-xaggregator/wyoming_sounding.py108
3 files changed, 0 insertions, 257 deletions
diff --git a/aggregator/__init__.py b/aggregator/__init__.py
deleted file mode 100644
index e69de29..0000000
--- a/aggregator/__init__.py
+++ /dev/null
diff --git a/aggregator/dwd_icon.py b/aggregator/dwd_icon.py
deleted file mode 100755
index 6df905c..0000000
--- a/aggregator/dwd_icon.py
+++ /dev/null
@@ -1,149 +0,0 @@
-#!/usr/bin/env python3
-
-import requests
-import datetime
-import pytz
-import requests
-import os
-
-from multiprocessing import cpu_count
-from multiprocessing.pool import ThreadPool
-
-import subprocess
-
-import xarray as xr
-
-import misc
-
-BASE='https://opendata.dwd.de/weather/nwp'
-
-def get_current_run():
- # we allow up to 3h of slack for DWD to upload the latest run
- tz = pytz.timezone('UTC')
- now = datetime.datetime.now(datetime.timezone.utc)
- corrected = now - datetime.timedelta(hours=3)
-
- run = int(corrected.hour / 6) * 6
-
- return (f'{run:02d}', corrected.strftime('%Y%m%d'))
-
-def download_url(args):
- url, dest = args
- r = requests.get(url)
- try:
- with open(dest, 'wb') as f:
- f.write(r.content)
- print(f'Downloaded {dest}')
- except Exception as e:
- print(f'Failed to download {dest}:\n', e)
-
-def unpack_bz2(dest):
- res = subprocess.run(['bzip2', '-df', dest])
- if res.returncode != 0:
- print(f'There was an error unpacking {dest}:', res.stderr)
-
-def download_dwd_gribs(
- date, run, target, output, model, steps, model_long,
- pressure_level_parameters, parameter_caps_in_filename,
- single_level_parameters, pressure_levels
-):
- misc.create_output_dir(output)
-
- to_download = []
-
- for step in steps:
- step_str = f'{step:03d}'
-
- for parameter in pressure_level_parameters:
- parameter2 = parameter.upper() if parameter_caps_in_filename else parameter
-
- for level in pressure_levels:
- filename = f'{model_long}_regular-lat-lon_pressure-level_{date}{run}_{step_str}_{level}_{parameter2}.grib2.bz2'
- URL = f'{BASE}/{model}/grib/{run}/{parameter}/{filename}'
-
- to_download.append((URL, os.path.join(output, filename)))
-
- for parameter in single_level_parameters:
- parameter2 = parameter.upper() if parameter_caps_in_filename else parameter
- filename = f'{model_long}_regular-lat-lon_single-level_{date}{run}_{step_str}_{parameter2}.grib2.bz2'
- URL = f'{BASE}/{model}/grib/{run}/{parameter}/{filename}'
-
- to_download.append((URL, os.path.join(output, filename)))
-
-
- for _ in ThreadPool(cpu_count()).imap_unordered(download_url, to_download):
- pass
-
- print('Done Downloading. Uncompressing...')
-
- for _ in ThreadPool(cpu_count()).imap_unordered(unpack_bz2, [dest for _, dest in to_download]):
- pass
-
- downloaded_gribs = [dest.removesuffix('.bz2') for _, dest in to_download]
-
- res = subprocess.run(['grib_copy'] + downloaded_gribs + [target])
- if res.returncode != 0:
- print('grib_copy failed with: ', res.stderr)
-
- res = subprocess.run(['rm', '-f'] + downloaded_gribs)
- if res.returncode != 0:
- print('rm failed with: ', res.stderr)
-
-def clean_output_dir(directory, target):
- to_delete = [f for f in os.listdir(directory) if os.path.isfile(os.path.join(directory, f))]
- if target in to_delete:
- del to_delete[to_delete.index(target)]
-
- for f in to_delete:
- os.unlink(os.path.join(directory, f))
-
-def load_data(name, output, description = None, clean = False, force_filename = None, **kwargs):
- target = force_filename
-
- if target is None:
- run, date = get_current_run()
- filename = f'{name}_{date}_{run}.grib2'
- target = os.path.join(output, filename)
-
- if not os.path.exists(target):
- download_dwd_gribs(date, run, target, output, **kwargs)
- else:
- print(f'{target} already exists. Using the cached version.')
-
- if clean:
- clean_output_dir(output, filename)
-
- # we drop heightAboveGround to allow 2m and 10m values to be merged down to one dataset
- ds = xr.load_dataset(target, engine='cfgrib', drop_variables='heightAboveGround')
-
- if description is not None:
- ds.attrs['_description'] = description
- return ds
-
-
-debug_config = {
- 'output':'dwd_icon-eu',
- 'model':'icon-eu',
- 'model_long':'icon-eu_europe',
- 'clean': True,
- 'parameter_caps_in_filename':True,
- 'pressure_level_parameters': [
- 't',
- 'relhum',
- 'u',
- 'v',
- 'fi',
- 'clc'
- ],
- 'single_level_parameters': [
- 'pmsl',
- 't_2m',
- 'relhum_2m'
- ],
- 'pressure_levels':[ 1000, 950, 925, 900, 875, 850, 825, 800, 775, 700, 600, 500, 400, 300, 250, 200, 150, 100 ],
- 'steps':[0, 3, 6, 9, 12, 15, 18, 21, 24, 27, 30, 33, 36, 39, 42, 45, 48]
-}
-
-if __name__ == '__main__':
- load_data('test_icon_eu', **debug_config)
-
diff --git a/aggregator/wyoming_sounding.py b/aggregator/wyoming_sounding.py
deleted file mode 100755
index 111e219..0000000
--- a/aggregator/wyoming_sounding.py
+++ /dev/null
@@ -1,108 +0,0 @@
-#!/usr/bin/env python3
-import os
-import datetime
-import requests
-
-import csv
-
-import xarray as xr
-
-import numpy as np
-
-from metpy.units import units
-import metpy.calc as mpcalc
-
-import misc
-
-def get_current_run():
- date=(datetime.date.today() - datetime.timedelta(days = 1)).strftime('%Y-%m-%d')
- # TODO we also want noon
- hour='23:00:00'
- return (hour, date)
-
-def download_wyoming_csv(station, date, hour, target):
- url=f'http://weather.uwyo.edu/cgi-bin/bufrraob.py?datetime={date}%20{hour}&id={station}&type=TEXT:CSV'
- result = requests.get(url)
-
- if result.status_code >= 400:
- raise Exception('Failed to Download sounding csv!')
-
- with open(target, 'w') as f:
- f.write(result.text)
-
-def load_wyoming_csv(filepath, hour, date):
- p = []
- T = []
- Td = []
- wind_speed = []
- wind_dir = []
- r = []
-
- with open(filepath,'r', newline='') as f:
- reader = csv.reader(f)
- next(reader) # Skip header
- for row in reader:
- if sum(map(lambda s : len(s.strip()) == 0, row)):
- # skip any line with empty values
- continue
-
- if float(row[3]) in p: # Skip double p entries
- continue
-
- p.append(float(row[3]))
- T.append(float(row[5]))
- Td.append(float(row[6]))
- r.append(float(row[8]))
- wind_speed.append(float(row[12]))
- wind_dir.append(float(row[11]))
-
- T = T * units.degC
- Td = Td * units.degC
- wind_speed = wind_speed * units.knots
- wind_dir = wind_dir * units.degrees
- u, v = mpcalc.wind_components(wind_speed, wind_dir)
-
- time = np.datetime64(f'{date}T{hour}')
-
- # recreate the structure a DWD GRIB produces
- return xr.Dataset(
- {
- "t": (["step", "isobaricInhPa"], [T.to(units.kelvin).magnitude]),
- "td": (["step", "isobaricInhPa"], [Td.to(units.kelvin).magnitude]),
- "r": (["step", "isobaricInhPa"], [r]),
- "u": (["step", "isobaricInhPa"], [u.to('m/s').magnitude]),
- "v": (["step", "isobaricInhPa"], [v.to('m/s').magnitude]),
- },
- coords={
- "isobaricInhPa": p,
- "step": [np.timedelta64(0, 'ns')],
- "valid_time": (['step'], [time]),
- "time": time,
- },
- attrs={
- "source": "uwyo.edu",
- }
- )
-
-def load_data(name, output, station):
- hour, date = get_current_run()
- misc.create_output_dir(output)
-
- target = os.path.join(output, f'{name}_{date}_{hour}.csv')
-
- if not os.path.exists(target):
- download_wyoming_csv(station, date, hour, target)
- else:
- print(f'{target} alreasy exists. Using the cached version.')
-
- return load_wyoming_csv(target, hour, date)
-
-config_debug = {
- 'output': 'wyoming_test',
- 'station': '10548'
-}
-
-if __name__ == '__main__':
- ds = load_data('test_wyoming_sounding', **config_debug)
- print(ds)
- print(ds.coords['step'])