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Dear all,
the version 1.00.19 of the data request has just been published. Now I think that the variables are correct for several experiments (hist-pi*, histSST*, hist-1950HC, ssp370-lowNTCF), than…
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**Submitting author:** @dhhagan (David Henry Hagan)
**Repository:** https://github.com/dhhagan/py-opc
**Version:** 1.4.1
**Editor:** @Kevin-Mattheus-Moerman
**Reviewers:** @tshu
**Author instruction…
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@durack1 @gleckler1 What is the meaning of the 'satellite_blended' source type? Is it satellite blended with in-situ, or a blend retrievals from multiple satellites, either, or something else?
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Augment `source_type` to be self-describing, following Note 14 in http://goo.gl/v1drZl e.g.
```
{
"source_type":{
"AER":"aerosols: appears with AOGCM or AGCM in models that calculate trop…
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```
activity_participation = [CMIP, ScenarioMIP]
institution_id = SNU
label = SAM0-UNICON
label_extended = SAM0-UNICON (SNU Atmosphere Model version 0 with Unified Convection Scheme)
aerosol = MA…
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aerosol = MASINGAR mk2r4
atmosphere = MRI-AGCM3.5 (320 x 160 TL159; 80 levels; top level 0.01hPa)
atmospheric_chemistry = MRI-CCM2.1
institution_id = MRI
label = MRI-ESM2.0
…
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Here's one link: https://rotordynamics.wordpress.com/category/rosenbrock-methods/
I'm working on them.
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As the title says :-)
This would be very useful to downsample long time series read from multiple consecutive netcdf files.
Note that I was able to apply the rolling window by converting my vari…
vnoel updated
7 years ago
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```
"GFDL-ESM4":{
"activity_participation":[
"" ### See activity list at https://github.com/WCRP-CMIP/CMIP6_CVs/blob/master/CMIP6_activity_id.json ###
],
"aerosol" : "### ?? ##…
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```
"BESM-2-6":{
"activity_participation":[
"CMIP"
],
"aerosol":"None",
"atmosphere":"BAM (v1.0; T062L28, 192 x 96 longitude/latitude; 28 levels; top level 3 hPa)",
…