Add fapar-lai dataset

[BSchilperoort]

test recipe:

# config (folder, login info etc goes to a ~/.config/zampy file)
name: "lai-recipe"

download:
  time: ["2019-01-01", "2019-01-31"]
  bbox: [54, 6, 53, 5] # NESW

  datasets:
    era5:
      variables:
        - surface_pressure
    fapar_lai:
      variables:
        - leaf_area_index

convert:
  convention: ALMA
  frequency: 1H  # outputs at 1 hour frequency. Pandas-like freq-keyword.
  resolution: 0.05  # output resolution in degrees.

TODO:

• fix merge conflicts once Implement land cover dataset #32 is merged
• Mark slow/memory intensive test for skipping

[sonarcloud]

Kudos, SonarCloud Quality Gate passed!   

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0.0% Duplication

[geek-yang]

Good job! It works well.

There is one small concern. In the test, we save a sample file in the download folder and an unzipped copy of the file. Since the file is slightly large (~15MB), it would be nice to unzip the zip file on the fly when running the test for load function. We can optimize it later in another PR.

[geek-yang]

A copy of unzipped data is kept for this test. We can reuse the zip file in the download folder and unzip it on the fly. This way we can avoid these three nc files which adds up to 15MB in total.

[geek-yang]

An issue is created for it #44.

[BSchilperoort]

Thanks for the review Yang! 😄