Add GLODAP DataWrangling module

[lgloege]

This PR adds the GLODAP gridded climatology to NumericalEarth for initializing BGC fields. GLODAP does not require any authentication and the data is distributed under CC BY 4.0 license.

@simone-silvestri

[navidcy]

I sprinkled a few comments

[navidcy]

You need to add this file in the src/DataWrangling/DataWrangling.jl, otherwise NumericalEarth is oblivious to it.

[codecov]

Codecov Report

❌ Patch coverage is 0% with 74 lines in your changes missing coverage. Please review.

Files with missing lines	Patch %	Lines
src/DataWrangling/GLODAP/GLODAP.jl	0.00%	74 Missing ⚠️

📢 Thoughts on this report? Let us know!

[simone-silvestri]

Suggested change

	abstract type GLODAPDataset end
	abstract type GLODAPDataset <:AbstractStaticDataset end

from what I understand this product does not have multiple dates right?

[simone-silvestri]

I think this is already handled in the data mangling of retrieve_data right?

[simone-silvestri]

Indeed, here

NumericalEarth.jl/src/DataWrangling/set_region_data.jl

Lines 155 to 159 in 8e6c4c6

	# `read_data(data, i, j, k, region, mangling, FT)` returns the file value at
	# the grid's (i, j, k) as `FT`, with `Missing` converted to NaN.
	@inline read_data(data, i, j, k, ::Nothing, mangling, FT) = nan_convert_missing(FT, mangle(i, j, k, data, mangling))
	@inline read_data(data, i, j, k, b::BoundingBoxOffset, mangling, FT) = nan_convert_missing(FT, mangle(i + b.di, j + b.dj, k, data, mangling))
	@inline read_data(data, _, _, k, c::ColumnInfo, mangling, FT) = blend(c.ℑ, data, c, k, mangling, FT)

I think this whole retrieve_data method can be removed

[simone-silvestri]

Looks good! I have left some comments. Can you also add one unit test for the metadata creation / handling? (We can probably avoid download tests for now)

[simone-silvestri]

Looks like everything has been addressed! @lgloege if you can resolve the conflicts then add a unit test (just test the metadata creation, not the download) we can then merge