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climater-catalogs's Introduction

Hey! Nice to see you.

I'm Mike, a Spatial Data Scientist living in Fort Collins, Colorado working for Lynker and the NOAA Office of Water Prediction

GitHub mikejohnson51 GitHub mikejohnson51

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R GDAL git whitebox AWS QGIS

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climater-catalogs's Issues

Modification to LCMAP

What is the data?

LCMAP

What is the data format (OpenDap, VRT, TIF)

vrt/tif

What is the data URL:

https://edcintl.cr.usgs.gov/

Hi Mike, wondering if you could add some modifications to the LCMAP entries. Currently, there is no straight-forward way to distinguish between Hawaii and Conus versions and between the different versions looks like there is V10 and V13 currently in the catalog. Not sure whether you would want to include model, ensemble, scenario for these where:

model = [Conus, Hawaii]
ensemble = [1985, 1986, etc
scenario = [v10, v13]

but maybe using those catalog keys in this way is too much of a hack...

Adding FCPG via USGS?

Hey @mikejohnson51. not sure if this is the right place or how it all comes together but thought of climateR when I was connecting to these .vrt's at https://prod-is-usgs-sb-prod-publish.s3.amazonaws.com/5f3ab12082ce8df5b6c4076a/params.json . Have a good one!

Multi-band COGS?

How to handle in schema? @JimColl?

terra::rast('/vsicurl/https://github.com/atsyplenkov/HBVr/releases/download/parameter-maps/correct_fold_9.tiff')
#> class       : SpatRaster 
#> dimensions  : 3600, 7200, 12  (nrow, ncol, nlyr)
#> resolution  : 0.04999306, 0.04998611  (x, y)
#> extent      : -179.975, 179.975, -89.975, 89.975  (xmin, xmax, ymin, ymax)
#> coord. ref. : lon/lat WGS 84 (EPSG:4326) 
#> source      : correct_fold_9.tiff 
#> names       :          beta,            FC,            K0,            K1,            K2,            LP, ... 
#> min values  :  1.0000000000, 50.0000000000,  0.0499877930,  0.0100097656,  0.0009765625,  0.2000122070, ... 
#> max values  :  6.000000e+00,  1.000000e+03,  9.000244e-01,  5.000000e-01,  2.000122e-01,  1.000000e+00, ...

Created on 2022-08-12 by the reprex package (v2.0.1)

Serialize `errors` in R6 IPC

Current behavior is that errors are not propagated past the target that they occur in, but due to error semantics in the R6 workflow, the target itself doesn't throw the error. Instead, errors are stored within the R6 object.

However, serialization for error information is currently missing, so when a target unmarshals a dependent target, the R6 object doesn't have it -- hence why the outputted errors.json is empty despite some data providers missing from the catalog.

  • Serialize private$.error in arrow metadata
  • Serialize private$.error_steps in arrow metadata

Please add GEBCO 2023

What is the data?

The GEBCO_2023 Grid is a global terrain model for ocean and land, providing elevation data, in meters, on a 15 arc-second interval grid of 43200 rows x 86400 columns, giving 3,732,480,000 data points. The data values are pixel-centre registered i.e. they refer to elevations, in meters, at the centre of grid cells.
https://www.gebco.net/data_and_products/gridded_bathymetry_data/

What is the data format (OpenDap, VRT, TIF)

COG TIF, NetCDF, and GeoTIFF.

Seamless NetCDF and 8-tiled GeoTIFF (not COG) are stored on the GEBCO website.
A converted version (COG) and the original NetCDF are also stored in a Cloudflare R2 bucket that I have. The mirror is due to VSI not supported with the GEBCO website's URLs.

What is the data URL:

For COG:
https://pub-009cd68c73654284a8df4979a17feddc.r2.dev/GEBCO_2023/GEBCO_2023.tif

For NetCDF:
https://pub-009cd68c73654284a8df4979a17feddc.r2.dev/GEBCO_2023/GEBCO_2023.nc

Note: I can modify the elevation data source for this, since GEBCO_2019 seems to have been taken down -- mostly making this for awareness :)

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