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bopen / c3s-eqc-toolbox-template

CADS Toolbox template application
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Error in opening the file: unable to download and transform #126

Closed akankshabalha closed 7 months ago

akankshabalha commented 7 months ago

Notebook description

Hi,

This is 2nd user case for albedo. I am trying to download and transform CDS albedo dataset. However, it is giving me an error that it is unable to open a particular file.

The details of the two datasets that I need are as follows. The notebook attached mentions the error only for the first datasets, however, both the datasets are giving error. Could you please help me in resolving the errors and successful download of both the datasets in a single notebook. 

"format": "zip",
"variable": "albb_bh",
"satellite": "proba",
"sensor": "vgt",
"product_version": "v2",
"horizontal_resolution": "1km",
"year": ["2018", "2019"],
"month": ["01", "02", "03", "04", "05", "06", "07", "08", "09", "10", "11", "12"],
"nominal_day": "10",
"area": [-6, -68.88, -4.97, -66.88]

and 

"format": "zip",
"variable": "albb_bh",
"satellite": "noaa_11",
"sensor": "avhrr",
"product_version": "v2",
"horizontal_resolution": "4km",
"year": ["1990", "1991"],
"month": ["01", "02", "03", "04", "05", "06", "07", "08", "09", "10", "11", "12"],
"nominal_day": "10",
"area": [-6, -68.88, -4.97, -66.88]

Albedo_nb.zip

Notebook link or upload

No response

Anything else we need to know?

No response

Environment

name: wp5 channels: - conda-forge dependencies: - _libgcc_mutex=0.1=conda_forge - _openmp_mutex=4.5=2_gnu - affine=2.4.0=pyhd8ed1ab_0 - aiohttp=3.9.1=py311h459d7ec_0 - aiosignal=1.3.1=pyhd8ed1ab_0 - alsa-lib=1.2.10=hd590300_0 - annotated-types=0.6.0=pyhd8ed1ab_0 - ansiwrap=0.8.4=py_0 - antlr-python-runtime=4.11.1=pyhd8ed1ab_0 - anyio=4.2.0=pyhd8ed1ab_0 - argon2-cffi=23.1.0=pyhd8ed1ab_0 - argon2-cffi-bindings=21.2.0=py311h459d7ec_4 - arrow=1.3.0=pyhd8ed1ab_0 - asciitree=0.3.3=py_2 - asttokens=2.4.1=pyhd8ed1ab_0 - async-lru=2.0.4=pyhd8ed1ab_0 - attr=2.5.1=h166bdaf_1 - attrs=23.1.0=pyh71513ae_1 - aws-c-auth=0.7.8=h538f98c_2 - aws-c-cal=0.6.9=h5d48c4d_2 - aws-c-common=0.9.10=hd590300_0 - aws-c-compression=0.2.17=h7f92143_7 - aws-c-event-stream=0.3.2=h0bcb0bb_8 - aws-c-http=0.7.14=hd268abd_3 - aws-c-io=0.13.36=he0cd244_2 - aws-c-mqtt=0.10.0=h35285c7_0 - aws-c-s3=0.4.5=h0448019_0 - aws-c-sdkutils=0.1.13=h7f92143_0 - aws-checksums=0.1.17=h7f92143_6 - aws-crt-cpp=0.25.0=h1bbe558_2 - aws-sdk-cpp=1.11.210=h0853bfa_5 - 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xorg-kbproto=1.0.7=h7f98852_1002 - xorg-libice=1.1.1=hd590300_0 - xorg-libsm=1.2.4=h7391055_0 - xorg-libx11=1.8.7=h8ee46fc_0 - xorg-libxau=1.0.11=hd590300_0 - xorg-libxdmcp=1.1.3=h7f98852_0 - xorg-libxext=1.3.4=h0b41bf4_2 - xorg-libxfixes=5.0.3=h7f98852_1004 - xorg-libxi=1.7.10=h7f98852_0 - xorg-libxrender=0.9.11=hd590300_0 - xorg-renderproto=0.11.1=h7f98852_1002 - xorg-xextproto=7.3.0=h0b41bf4_1003 - xorg-xf86vidmodeproto=2.3.1=h7f98852_1002 - xorg-xproto=7.0.31=h7f98852_1007 - xskillscore=0.0.24=pyhd8ed1ab_0 - xyzservices=2023.10.1=pyhd8ed1ab_0 - xz=5.2.6=h166bdaf_0 - yaml=0.2.5=h7f98852_2 - yarl=1.9.3=py311h459d7ec_0 - zarr=2.16.1=pyhd8ed1ab_0 - zeromq=4.3.5=h59595ed_0 - zict=3.0.0=pyhd8ed1ab_0 - zipp=3.17.0=pyhd8ed1ab_0 - zlib=1.2.13=hd590300_5 - zstd=1.5.5=hfc55251_0 - pip: - c3s-eqc-automatic-quality-control==0.1.2.dev97+g355c9b6 - cacholote==0.5.3 - cads-toolbox==0.0.2b0 - cgul==0.0.4 - coucal==0.0.1b3 - emohawk==0.0.4b0 - kaleido==0.2.1 - pymannkendall==1.4.3 prefix: /data/common/miniforge3/envs/wp5 Note: you may need to restart the kernel to use updated packages.
malmans2 commented 7 months ago

You are downloading an empty file, very likely because of the selected area: "area": [-6, -68.88, -4.97, -66.88] The W and E bounds are identical.

akankshabalha commented 7 months ago

How is it identical? it is -68 and -66

malmans2 commented 7 months ago

Oops, my bad, I misread it. The area list looks wrong. The bounds order should be N, W, S, E. Try this: "area": [-4.97, -68.88, -6, -66.88]

akankshabalha commented 7 months ago

Thanks, I have chosen this area bound : [-5.10, -66.80, -5.30, -66.50]. I have chosen a smaller area for faster downloading as CDS albedo data takes a lot of time to download.

I am able to download NOAA_11 AVHRR dataset for year 1990-91 successfully, but not PROBA VGT for year 2018-19. It is stucked at 12% and states 'request is queued'. I tried downloading it 5-6 times since yesterday but no success. I tried to choose another year i.e., 2017-18 but it is also stucked at 4% and states 'request is running'. Is it due to the waiting time from the CDS end? Is there any possibility for you to speed up the downloading process?

malmans2 commented 7 months ago

yes, the CDS is busy. As the log says, you were waiting in the queue and/or the CDS was processing the request. If you stopped it, then you lost your priority in the queue and you need to re-start the queue again.

If you send me the exact request you need, I can cache it for you.