Monitor climate change over Europe with land reanalysis data

[Cri-dei]

Data Type

Reanalyses

Assessment Category

Climate Monitoring

Dataset Name

reanalysis-era5-land-monthly-means

Question Number

1

Workflow ID

eqctier3-6d89598e-e30d-4ef0-8475-73fc0569db17

Zipped Notebook

ERA-5Land_Temperature_rev3_July.zip

Environment

name: wp5
channels:
  - conda-forge
dependencies:
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  - scipy=1.14.0=py311h517d4fd_0
  - seaborn=0.13.2=hd8ed1ab_2
  - seaborn-base=0.13.2=pyhd8ed1ab_2
  - send2trash=1.8.3=pyh0d859eb_0
  - setuptools=70.1.1=pyhd8ed1ab_0
  - shapely=2.0.4=py311h0bed3d6_1
  - shellingham=1.5.4=pyhd8ed1ab_0
  - simpervisor=1.0.0=pyhd8ed1ab_0
  - sip=6.7.12=py311hb755f60_0
  - six=1.16.0=pyh6c4a22f_0
  - snappy=1.2.0=hdb0a2a9_1
  - sniffio=1.3.1=pyhd8ed1ab_0
  - snuggs=1.4.7=py_0
  - sortedcontainers=2.4.0=pyhd8ed1ab_0
  - soupsieve=2.5=pyhd8ed1ab_1
  - sparse=0.15.4=pyhd8ed1ab_0
  - spdlog=1.13.0=hd2e6256_0
  - sqlalchemy=2.0.31=py311h331c9d8_0
  - sqlite=3.46.0=h6d4b2fc_0
  - stack_data=0.6.2=pyhd8ed1ab_0
  - statsmodels=0.14.2=py311h18e1886_0
  - structlog=24.2.0=pyhd8ed1ab_0
  - tblib=3.0.0=pyhd8ed1ab_0
  - tenacity=8.4.2=pyhd8ed1ab_0
  - terminado=0.18.1=pyh0d859eb_0
  - threadpoolctl=3.5.0=pyhc1e730c_0
  - tiledb=2.24.1=h2aae180_1
  - tinycss2=1.3.0=pyhd8ed1ab_0
  - tk=8.6.13=noxft_h4845f30_101
  - toml=0.10.2=pyhd8ed1ab_0
  - tomli=2.0.1=pyhd8ed1ab_0
  - toolz=0.12.1=pyhd8ed1ab_0
  - tornado=6.4.1=py311h331c9d8_0
  - tqdm=4.66.4=pyhd8ed1ab_0
  - traitlets=5.14.3=pyhd8ed1ab_0
  - typer=0.12.3=pyhd8ed1ab_0
  - typer-slim=0.12.3=pyhd8ed1ab_0
  - typer-slim-standard=0.12.3=hd8ed1ab_0
  - types-python-dateutil=2.9.0.20240316=pyhd8ed1ab_0
  - typing-extensions=4.12.2=hd8ed1ab_0
  - typing_extensions=4.12.2=pyha770c72_0
  - typing_utils=0.1.0=pyhd8ed1ab_0
  - tzcode=2024a=h3f72095_0
  - tzdata=2024a=h0c530f3_0
  - udunits2=2.2.28=h40f5838_3
  - uri-template=1.3.0=pyhd8ed1ab_0
  - uriparser=0.9.8=hac33072_0
  - urllib3=2.2.2=pyhd8ed1ab_1
  - wcwidth=0.2.13=pyhd8ed1ab_0
  - webcolors=24.6.0=pyhd8ed1ab_0
  - webencodings=0.5.1=pyhd8ed1ab_2
  - websocket-client=1.8.0=pyhd8ed1ab_0
  - wheel=0.43.0=pyhd8ed1ab_1
  - xarray=2024.6.0=pyhd8ed1ab_1
  - xarraymannkendall=1.4.5=pyhd8ed1ab_0
  - xcb-util=0.4.1=hb711507_2
  - xcb-util-image=0.4.0=hb711507_2
  - xcb-util-keysyms=0.4.1=hb711507_0
  - xcb-util-renderutil=0.3.10=hb711507_0
  - xcb-util-wm=0.4.2=hb711507_0
  - xerces-c=3.2.5=hac6953d_0
  - xesmf=0.8.6=pyhd8ed1ab_0
  - xhistogram=0.3.2=pyhd8ed1ab_0
  - xkeyboard-config=2.42=h4ab18f5_0
  - xorg-fixesproto=5.0=h7f98852_1002
  - xorg-inputproto=2.3.2=h7f98852_1002
  - xorg-kbproto=1.0.7=h7f98852_1002
  - xorg-libice=1.1.1=hd590300_0
  - xorg-libsm=1.2.4=h7391055_0
  - xorg-libx11=1.8.9=hb711507_1
  - 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=0.0.26=pyhd8ed1ab_0
  - xyzservices=2024.6.0=pyhd8ed1ab_0
  - xz=5.2.6=h166bdaf_0
  - yaml=0.2.5=h7f98852_2
  - yarl=1.9.4=py311h459d7ec_0
  - zarr=2.18.2=pyhd8ed1ab_0
  - zeromq=4.3.5=h75354e8_4
  - zict=3.0.0=pyhd8ed1ab_0
  - zipp=3.19.2=pyhd8ed1ab_0
  - zlib=1.3.1=h4ab18f5_1
  - zstandard=0.22.0=py311hb6f056b_1
  - zstd=1.5.6=ha6fb4c9_0
  - pip:
      - c3s-eqc-automatic-quality-control==0.1.2.dev112+g680c19a
      - cacholote==1.1.0
      - 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.

Anything else we need to know?

Here attached the CSV file with in-situ observations used in this analysis, derived from: https://climateknowledgeportal.worldbank.org/country/spain/climate-data-historical
observed-annual-average-mean-surface-air-temperature-of-spain-for-1901-2022.csv

[malmans2]

Good morning @Cri-dei,

The Dataset Name is wrong. I assume you mean reanalysis-era5-land-monthly-means?
As its obvious, I'm going to assume it is that one and I will issue the permalink accordingly. But please edit your comment above ASAP with the right Dataset Name.

[malmans2]

Here is the permalink: https://github.com/ecmwf-projects/c3s2-eqc-quality-assessment/blob/6c27628203062a1b80953aa95e21f9c9da46abbd/Reanalyses/reanalysis_reanalysis-era5-land-monthly-means_climate-monitoring_q01.ipynb

Please make sure that the notebook name is correct.

If you need to make modifications (e.g., to address the reviewer's comment), please share here the new version of the notebook and I will provide a new permalink.

Let me know when the notebook is accepted, I will merge the PR into main.

[Cri-dei]

Okay, I fixed the dataset name. Thanks!

[Cri-dei]

NT_Era5Land.zip

Hi Mattia, I updated the notebook with the last layout!
Thanks in advance for the permalink.

[malmans2]

I fixed an issue with reference 3. You must use a valid URL. I.e., https://doi.org/10.3389/feart.2022.907730 instead of 10.3389/feart.2022.907730

Permalink: https://github.com/ecmwf-projects/c3s2-eqc-quality-assessment/blob/02fc589d1194921aa9853baea4549905eecc8599/Reanalyses/reanalysis_reanalysis-era5-land-monthly-means_climate-monitoring_q01.ipynb

Please ensure that the notebook name is correct. If you need to make any modifications (e.g., addressing the reviewer's comments), please share the new version of the notebook here, and I will provide a new permalink. Let me know once the notebook is accepted, and I will merge the PR into the main branch.

PREVIEW

[Cri-dei]

NT_Era5Land(1).zip

Hi Mattia,
Here the updated notebook.
Thanks

[malmans2]

Hi,

I had to fix the doi (see comment above). Please always start from the latest permalink I issue.

Permalink: https://github.com/ecmwf-projects/c3s2-eqc-quality-assessment/blob/b2263b869afb28a3b78d8682b0c3c0f7e7c4ddaa/Reanalyses/reanalysis_reanalysis-era5-land-monthly-means_climate-monitoring_q01.ipynb

PREVIEW