jordansread / hyperscales-data-release

data release repo for NE CASC funded hyperscales project
GNU General Public License v3.0
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Metadata: 04_inputs #18

Closed lindsayplatt closed 3 years ago

lindsayplatt commented 3 years ago

For this step,

lindsayplatt commented 3 years ago

Cites GLM 3.0. Should that be changed to 2.0?

lindsayplatt commented 3 years ago

@jread-usgs please comment on the following:

Build environment seems a bit bare compared to the mntoha inputs file

There appear to be some duplicate group zips on SB. The same are duplicated for the zips named inputs_

ice_flags_01_N47.00-49.00_W95.00-100.00.zip
ice_flags_01_N47.00-49.00_W95.00-104.25.zip 

ice_flags_02_N48.00-49.00_W91.50-95.00.zip                                                   
ice_flags_02_N48.00-49.50_W91.50-95.00.zip

ice_flags_12_N44.00-47.00_W96.00-100.00.zip                                                   
ice_flags_12_N44.00-47.00_W96.00-104.00.zip

ice_flags_21_N40.25-44.00_W91.00-100.00.zip                                                   
ice_flags_21_N40.50-44.00_W91.00-100.00.zip   

ice_flags_22_N38.00-45.50_W89.50-91.00.zip                                                   
ice_flags_22_N40.50-45.50_W89.50-91.00.zip

ice_flags_30_N37.00-41.50_W84.50-89.50.zip                                                   
ice_flags_30_N40.50-41.50_W84.50-89.50.zip
jordansread commented 3 years ago

Build should be

  For PB and PB0 predictions we used USGS Advanced Research Computing, USGS Yeti Supercomputer (https://doi.org/10.5066/F7D798MJ); 
  process-based predictions were generated with the following open source tools available in the R programming language (R version 3.6.3 (2020-02-29)).
  The computing platform for generating data and metadata was x86_64-redhat-linux-gnu. 
  R packages loaded into this environment: dplyr, version: 1.0.0; glmtools, version: 0.15.0; 
  rLakeAnalyzer, version: 1.11.4.1; GLMr, version: 3.1.14; mapdata, version: 2.3.0; maps, version: 3.3.0.
  The computing platform for generating data and metadata was x86_64-apple-darwin15.6.0 using R programming language (R version 3.6.3 (2020-02-29)).
  R packages loaded into this environment: ggplot2, version: 3.3.2; lwgeom, version: 0.2-5; dataRetrieval, version: 2.7.6; reticulate, version: 1.16; 
  sf, version: 0.9-6; dssecrets, version: 0.1.4; purrr, version: 0.3.4; RcppCNPy, version: 0.2.10; 
  sbtools, version: 1.1.12; RJSONIO, version: 1.3-1.4; glmtools, version: 0.15.0; 
  rLakeAnalyzer, version: 1.11.4.1; GLMr, version: 3.1.16; stringr, version: 1.4.0; rgdal, version: 1.5-16; 
  sp, version: 1.4-2; httr, version: 1.4.2; feather, version: 0.3.5; readr, version: 1.3.1; meddle, version: 0.0.11; 
  mapdata, version: 2.3.0; maps, version: 3.3.0; tidyr, version: 1.1.2; dplyr, version: 1.0.2; whisker, version: 0.4; 
  yaml, version: 2.2.1; scipiper, version: 0.0.22.

I will manually delete those bad zips. They are slightly different and the reason is the grid rectangles changed (I shifted them slightly) and didn't delete the old files on SB after doing that.

jordansread commented 3 years ago

I deleted the outdated zip files and one outdated .xml file