I want to run the clear sky data, but I am having problem about the integrity check failure #10
Description
import irradpy
import multiprocessing
Important Note: If you're using windows, make sure to wrap the function.
if name == "main":
multiprocessing.freeze_support()
irradpy.downloader.run(auth={"uid":"o_olalekan", "password": "###"})
Download All Data From 2018-01-01 To 2018-01-02
irradpy.downloader.run(auth={"uid":"o_olalekan", "password": "###"},
initial_year=2020, final_year=2020,
initial_month=1, final_month=1,
initial_day=1, final_day=2,
lat_1=-90, lat_2=90,
lon_1=-180, lon_2=180,
verbose=True,
thread_num=20, connection_num=2
)
Run clear sky model from 2018-01-01 To 2018-01-02
time_delta = 10 # minute
timedef = [('2018-01-01T00:00:00', '2018-01-02T00:00:00')]
time = irradpy.model.timeseries_builder(timedef, time_delta, np.size(latitudes))
irradpy.model.ClearSkyREST2v5(latitudes, longitudes, elevations, time, dataset_dir).REST2v5()
INFO:root:Downloading data from 2023-4-22 to 2023-4-22...
INFO:root:Request Already Exist in Download Directory, Adding More Files...
INFO:root:---- Begin Analysing Directory ----
ERROR:root:* Found previous corrupted file MERRA2_400.tavg1_2d_rad_Nx.20230422.nc4.nc?ALBEDO[0:23][0:360][0:575],CLDTOT[0:23][0:360][0:575],SWGDN[0:23][0:360][0:575],SWGDNCLR[0:23][0:360][0:575],TAUTOT[0:23][0:360][0:575],time,lat[0:360],lon[0:575], Scheduled for redownload
INFO:root:---- End Analysing Directory ----
INFO:root:Preparing new file MERRA2_400.tavg1_2d_rad_Nx.20230422.nc4.nc?ALBEDO[0:23][0:360][0:575],CLDTOT[0:23][0:360][0:575],SWGDN[0:23][0:360][0:575],SWGDNCLR[0:23][0:360][0:575],TAUTOT[0:23][0:360][0:575],time,lat[0:360],lon[0:575] from M2T1NXRAD.5.12.4
INFO:root:---- Begin Download ----
CRITICAL:root:% New File from Date 2023-04-22 Integrity Check Failed
INFO:root:---- Download Finished ----
INFO:root:---- Begin Analysing Directory ----
ERROR:root:* Found previous corrupted file MERRA2_400.tavg1_2d_slv_Nx.20230422.nc4.nc?TQV[0:23][0:360][0:575],TO3[0:23][0:360][0:575],PS[0:23][0:360][0:575],time,lat[0:360],lon[0:575], Scheduled for redownload
INFO:root:---- End Analysing Directory ----
INFO:root:Preparing new file MERRA2_400.tavg1_2d_slv_Nx.20230422.nc4.nc?TQV[0:23][0:360][0:575],TO3[0:23][0:360][0:575],PS[0:23][0:360][0:575],time,lat[0:360],lon[0:575] from M2T1NXSLV.5.12.4
INFO:root:---- Begin Download ----
CRITICAL:root:% New File from Date 2023-04-22 Integrity Check Failed
INFO:root:---- Download Finished ----
INFO:root:---- Begin Analysing Directory ----
ERROR:root:* Found previous corrupted file MERRA2_400.tavg1_2d_aer_Nx.20230422.nc4.nc?TOTSCATAU[0:23][0:360][0:575],TOTEXTTAU[0:23][0:360][0:575],TOTANGSTR[0:23][0:360][0:575],time,lat[0:360],lon[0:575], Scheduled for redownload
INFO:root:---- End Analysing Directory ----
INFO:root:Preparing new file MERRA2_400.tavg1_2d_aer_Nx.20230422.nc4.nc?TOTSCATAU[0:23][0:360][0:575],TOTEXTTAU[0:23][0:360][0:575],TOTANGSTR[0:23][0:360][0:575],time,lat[0:360],lon[0:575] from M2T1NXAER.5.12.4
INFO:root:---- Begin Download ----
CRITICAL:root:% New File from Date 2023-04-22 Integrity Check Failed
INFO:root:---- Download Finished ----
INFO:root:---- Begin Analysing Directory ----
INFO:root:---- End Analysing Directory ----
INFO:root:Preparing new file MERRA2_101.const_2d_asm_Nx.00000000.nc4.nc4?PHIS[0:0][0:360][0:575],time,lat[0:360],lon[0:575] from M2C0NXASM.5.12.4
INFO:root:---- Begin Download ----
CRITICAL:root:% New File from Date 2023-04-22 Integrity Check Failed
INFO:root:---- Download Finished ----
INFO:root:---- Begin Merging In Daily Variables ----
INFO:root:* Processing Data In 2023-04-22...
INFO:root:% Merging Data For MERRA2_400.tavg1_2d_aer_Nx.20230422.nc4.nc
Error
ValueError Traceback (most recent call last)
Input In [8], in <cell line: 5>()
5 if name == "main":
6 multiprocessing.freeze_support()
----> 7 irradpy.downloader.run(auth={"uid":"o_olalekan", "password": "###"})
9 # More Examples
10
11 # Download All Data From 2018-01-01 To 2018-01-02
12 irradpy.downloader.run(auth={"uid":"o_olalekan", "password": "###"},
13 initial_year=2018, final_year=2018,
14 initial_month=1, final_month=1,
(...)
19 thread_num=20, connection_num=2
20 )
File ~-admin\Anaconda3\lib\site-packages\irradpy-1.5.0-py3.9.egg\irradpy\downloader\socket.py:122, in run(collection_names, initial_year, final_year, initial_month, final_month, initial_day, final_day, lat_1, lon_1, lat_2, lon_2, merra2_var_dicts, output_dir, auth, merge_timelapse, thread_num)
120 # Call the main function
121 socket = SocketManager()
--> 122 socket.daily_download_and_convert(
123 collection_names, merra2_var_dicts=merra2_var_dicts,
124 initial_year=initial_year, initial_month=initial_month, initial_day=initial_day,
125 final_year=final_year, final_month=final_month, final_day=final_day,
126 output_dir=output_dir,
127 auth=auth,
128 merge_timelapse=merge_timelapse,
129 lat_1=lat_1, lon_1=lon_1,
130 lat_2=lat_2, lon_2=lon_2,
131 thread_num=thread_num,
132 )
File ~-admin\Anaconda3\lib\site-packages\irradpy-1.5.0-py3.9.egg\irradpy\downloader\download.py:705, in SocketManager.daily_download_and_convert(self, collection_names, initial_year, final_year, initial_month, final_month, initial_day, final_day, lat_1, lon_1, lat_2, lon_2, merra2_var_dicts, output_dir, auth, merge_timelapse, merge, thread_num)
703 logging.info("---- Begin Merging In Daily Variables ----")
704 for date in self.iter_days(datetime.date(initial_year, initial_month, initial_day), datetime.date(final_year, final_month, final_day)):
--> 705 delete_set = self.merge_variables_perday(
706 temp_dir_download,
707 merge_collection_names,
708 final_year,
709 final_month,
710 final_day,
711 date,
712 )
713 logging.info("# Deleting Daily Redundant Files...")
714 for name in delete_set:
File ~-admin\Anaconda3\lib\site-packages\irradpy-1.5.0-py3.9.egg\irradpy\downloader\download.py:391, in SocketManager.merge_variables_perday(self, path_data, collection_names, final_year, final_month, final_day, date)
389 if var not in collections:
390 collections.append(var)
--> 391 remote_ds = xr.open_dataset(name)
392 # subset to desired variables and merge
393 try:
File ~-admin\Anaconda3\lib\site-packages\xarray\backends\api.py:479, in open_dataset(filename_or_obj, engine, chunks, cache, decode_cf, mask_and_scale, decode_times, decode_timedelta, use_cftime, concat_characters, decode_coords, drop_variables, backend_kwargs, *args, **kwargs)
476 kwargs.update(backend_kwargs)
478 if engine is None:
--> 479 engine = plugins.guess_engine(filename_or_obj)
481 backend = plugins.get_backend(engine)
483 decoders = _resolve_decoders_kwargs(
484 decode_cf,
485 open_backend_dataset_parameters=backend.open_dataset_parameters,
(...)
491 decode_coords=decode_coords,
492 )
File ~-admin\Anaconda3\lib\site-packages\xarray\backends\plugins.py:152, in guess_engine(store_spec)
144 else:
145 error_msg = (
146 "found the following matches with the input file in xarray's IO "
147 f"backends: {compatible_engines}. But their dependencies may not be installed, see:\n"
148 "http://xarray.pydata.org/en/stable/user-guide/io.html \n"
149 "http://xarray.pydata.org/en/stable/getting-started-guide/installing.html"
150 )
--> 152 raise ValueError(error_msg)
ValueError: did not find a match in any of xarray's currently installed IO backends ['netcdf4', 'h5netcdf', 'scipy', 'pydap', 'zarr']. Consider explicitly selecting one of the installed engines via the engine parameter, or installing additional IO dependencies, see:
http://xarray.pydata.org/en/stable/getting-started-guide/installing.html
http://xarray.pydata.org/en/stable/user-guide/io.html