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Update institution_id PNNL-JGCRI

On 5/4/17, 12:28 PM, "Feng, Leyang" wrote:

    Hi Paul,
    
    Thanks for your comments! They are very useful!
    
    We updated the metadata attributes for CEDS grids and another demo file has been uploaded to the ftp site /incoming/CEDS_Demo_Review for next round review.
    
    A few feedbacks on your comments: 
    
    For the chunksizes in time dimension, I indeed only wrote in a vector of 180 elements (2000-2014) as time dimension and it seemed I don't have any control over chunksize using R ncdf4 package to generate the nc file. 
    
    For the institution, since we are located in College park, you may want to update your json file to PNNL-JGCRI: Pacific Northwest National Laboratory - Joint Global Change Research Institute, College Park, MD 20740, USA. 
    
    For the timestamp in history, I followed the example given in CMIP6_Forcing_Datasets_Summary Google Doc file. 
    
    And for the external_variables 'gridcell_area', we are distributing the gridcell_area nc file through CEDS website. We can also make the grid CF complaint and distribute through ESGF. 
    
    Thanks,
    Leyang

Obtaining an institution ID

Hello -

As part of the Radiative Forcing MIP (RFMIP) I would like to post input data on input4MIPs. For this I will need to specify, among other things, an "institution" and an "institution_id". My institution is the University of Colorado; if one needed more specificity it could be CIRES or the Cooperative Institute for Research in Environmental Sciences with the University.

How do obtain a formal institution name and institution_id?

Register LS3MIP data contribution from IIS-UTokyo

@gkrinner here is a start for getting the details for the LS3MIP data registered so we can get the data written to specification and published in input4MIPs. Can you please entrain Hyungjun, I am uncertain if he has a github handle?

First up we need to register IIS-UTokyo as an institution_id.
"IIS-UTokyo": "Institute of Industrial Science, The University of Tokyo, Hongo, Bunkyo-ku 113-8656, Japan"

Will there be a second institution contributing? (for existing institutions contributing to the project see input4MIPs_institution_id.json).

Next we need to define the source_id for the dataset, I suggest IIS-UTokyo-LS3MIP-1-0. This follows the format of other datasets that have registered and contributed, see input4MIPs_source_id.json

@hyungjun

Register source_id PCMDI-AMIP-1-1-5

In preparation for the 1.1.5 - 187001-201806 update, the revised source_id needs to be registered. Some tweaks to https://github.com/PCMDI/amipbcs will also likely be required to conform with the new input4MIPs_required_global_attributes.json

        "PCMDI-AMIP-1-1-5":{
            "comment":"Based on Hurrell SST/sea ice consistency criteria applied to merged HadISST (1870-01 1981-10) & NCEP-0I2 (1981-11 to 2018-06)",
            "contact":"PCMDI ([email protected])",
            "dataset_category":"SSTsAndSeaIce",
            "further_info_url":"https://pcmdi.llnl.gov/mips/amip",
            "grid":"1x1 degree longitude x latitude",
            "grid_label":"gn",
            "institution":"Program for Climate Model Diagnosis and Intercomparison, Lawrence Livermore National Laboratory, Livermore, CA 94550, USA",
            "institution_id":"PCMDI",
            "nominal_resolution":"1x1 degree",
            "product":"observations",
            "references":"Taylor, K.E., D. Williamson and F. Zwiers, 2000: The sea surface temperature and sea ice concentration boundary conditions for AMIP II simulations. PCMDI Report 60, Program for Climate Model Diagnosis and Intercomparison, Lawrence Livermore National Laboratory, 25 pp. Available online: https://pcmdi.llnl.gov/report/pdf/60.pdf",
            "region":[
                "global_ocean"
            ],
            "release_year":"2018",
            "source":"PCMDI-AMIP 1.1.5: Merged SST based on UK MetOffice HadISST and NCEP OI2",
            "source_description":"Sea surface temperature and sea-ice datasets produced by PCMDI (LLNL) for the AMIP (DECK) experiment of CMIP6",
            "source_id":"PCMDI-AMIP-1-1-5",
            "source_type":"satellite_blended",
            "source_variables":[
                "areacello",
                "sftof",
                "siconc",
                "siconcbcs",
                "tos",
                "tosbcs"
            ],
            "source_version":"1.1.5",
            "target_mip":"CMIP",
            "title":"PCMDI-AMIP 1.1.5 dataset prepared for input4MIPs"
        }

Following example in #47

Register source_id PCMDI-AMIP-1-1-6

In preparation for the 1.1.6 - 187001-201812 update, the revised source_id needs to be registered. Some tweaks to https://github.com/PCMDI/amipbcs will also likely be required to conform with the new input4MIPs_required_global_attributes.json

        "PCMDI-AMIP-1-1-6":{
            "comment":"Based on Hurrell SST/sea ice consistency criteria applied to merged HadISST (1870-01 1981-10) & NCEP-0I2 (1981-11 to 2018-12)",
            "contact":"PCMDI ([email protected])",
            "dataset_category":"SSTsAndSeaIce",
            "further_info_url":"https://pcmdi.llnl.gov/mips/amip",
            "grid":"1x1 degree longitude x latitude",
            "grid_label":"gn",
            "institution":"Program for Climate Model Diagnosis and Intercomparison, Lawrence Livermore National Laboratory, Livermore, CA 94550, USA",
            "institution_id":"PCMDI",
            "nominal_resolution":"1x1 degree",
            "product":"observations",
            "references":"Taylor, K.E., D. Williamson and F. Zwiers, 2000: The sea surface temperature and sea ice concentration boundary conditions for AMIP II simulations. PCMDI Report 60, Program for Climate Model Diagnosis and Intercomparison, Lawrence Livermore National Laboratory, 25 pp. Available online: https://pcmdi.llnl.gov/report/pdf/60.pdf",
            "region":[
                "global_ocean"
            ],
            "release_year":"2019",
            "source":"PCMDI-AMIP 1.1.6: Merged SST based on UK MetOffice HadISST and NCEP OI2",
            "source_description":"Sea surface temperature and sea-ice datasets produced by PCMDI (LLNL) for the AMIP (DECK) experiment of CMIP6",
            "source_id":"PCMDI-AMIP-1-1-6",
            "source_type":"satellite_blended",
            "source_variables":[
                "areacello",
                "sftof",
                "siconc",
                "siconcbcs",
                "tos",
                "tosbcs"
            ],
            "source_version":"1.1.6",
            "target_mip":"CMIP",
            "title":"PCMDI-AMIP 1.1.6 dataset prepared for input4MIPs"
        }

Following example in #87

Register multiple ISMIP6 source_id entries

Thanks so much Paul.
Here are all the source_ids:
ACCESS1-3-rcp85-1-0
CCSM4-rcp26-1-0
CCSM4-rcp85-1-0
CESM2-ssp585-1-0
CNRM-CM6-1-ssp126-1-0
CNRM-CM6-1-ssp585-1-0
CNRM-ESM2-1-ssp585-1-0
CSIRO-MK3-6-0-rcp85-1-0
HadGEM2-ES-rcp85-1-0
IPSL-CM5A-MR-rcp26-1-0
IPSL-CM5A-MR-rcp85-1-0
MIROC-ESM-CHEM-rcp26-1-0
MIROC-ESM-CHEM-rcp85-1-0
MIROC5-rcp26-1-0
MIROC5-rcp85-1-0
NorESM1-M-rcp26-1-0
NorESM1-M-rcp85-1-0
UKESM1-0-LL-ssp585-1-0

You are right that only the source_id, comment, source and title are different for each dataset. For the models derived from CMIP6 there will be changes to reflect that as you can see below.

Please see these below the specifics for each source_id:

CMIP5 derived models

ACCESS1-3-rcp85-1-0

"source_id":" ACCESS1-3-rcp85-1-0”,

"comment":"This dataset was prepared using CMIP5 model ACCESS1-3 as input. A combination of historical and rcp85 datasets were used to create this forcing dataset for ISMIP6.",

"source":" ACCESS1-3-rcp85-1-0 derived dataset computed from CMIP5 ACCESS1-3-rcp85 and historical simulations",

"title":" Dataset derived from ACCESS1-3-rcp85-1-0 prepared for ISMIP6 (CMIP6)."

CCSM4-rcp26-1-0

"source_id":" CCSM4-rcp26-1-0”,

"comment":"This dataset was prepared using CMIP5 model CCSM4 as input. A combination of historical and rcp26 datasets were used to create this forcing dataset for ISMIP6.",

"source":" CCSM4-rcp26-1-0
derived dataset computed from CMIP5 CCSM4 rcp26 and historical simulations",
"title":"Dataset derived from CCSM4-rcp26-1-0 prepared for ISMIP6 (CMIP6)"

CCSM4-rcp85-1-0

"source_id":" CCSM4-rcp85-1-0”,

"comment":"This dataset was prepared using CMIP5 model CCSM4 as input. A combination of historical and rcp85 datasets were used to create this forcing dataset for ISMIP6.",

"source":" CCSM4-rcp85-1-0
derived dataset computed from CMIP5 CCSM4 rcp85 and historical simulations",
"title":"Dataset derived from CCSM4-rcp85-1-0 prepared for ISMIP6 (CMIP6)"

CSIRO-MK3-6-0-rcp85-1-0

"source_id":" CSIRO-MK3-6-0-rcp85-1-0”,

"comment":"This dataset was prepared using CMIP5 model CSIRO-MK3-6-0 as input. A combination of historical and rcp85 datasets were used to create this forcing dataset for ISMIP6.",

"source":" CSIRO-MK3-6-0-rcp85-1-0
derived dataset computed from CMIP5 CSIRO-MK3-6-0 rcp85 and historical simulations",
"title":"Dataset derived from CSIRO-MK3-6-0-rcp85-1-0
prepared for ISMIP6 (CMIP6)"

HadGEM2-ES-rcp85-1-0

"source_id":" HadGEM2-ES-rcp85-1-0”,

"comment":"This dataset was prepared using CMIP5 model HadGEM2-ES as input. A combination of historical and rcp85 datasets were used to create this forcing dataset for ISMIP6.",

"source":" HadGEM2-ES-rcp85-1-0
derived dataset computed from CMIP5 HadGEM2-ES rcp85
and historical simulations",
"title":"Dataset derived from HadGEM2-ES-rcp85-1-0
prepared for ISMIP6 (CMIP6)"

IPSL-CM5A-MR-rcp26-1-0

"source_id":" IPSL-CM5A-MR-rcp26-1-0”,

"comment":"This dataset was prepared using CMIP5 model IPSL-CM5A-MR as input. A combination of historical and rcp26 datasets were used to create this forcing dataset for ISMIP6.",

"source":" IPSL-CM5A-MR-rcp26-1-0

derived dataset computed from CMIP5 IPSL-CM5A-MR rcp26
and historical simulations",
"title":"Dataset derived from IPSL-CM5A-MR-rcp26-1-0
prepared for ISMIP6 (CMIP6)"

IPSL-CM5A-MR-rcp85-1-0

"source_id":" IPSL-CM5A-MR-rcp85-1-0”,

"comment":"This dataset was prepared using CMIP5 model IPSL-CM5A-MR as input. A combination of historical and rcp85 datasets were used to create this forcing dataset for ISMIP6.",

"source":" IPSL-CM5A-MR-rcp85-1-0

derived dataset computed from CMIP5 IPSL-CM5A-MR rcp85
and historical simulations",
"title":"Dataset derived from IPSL-CM5A-MR-rcp85-1-0
prepared for ISMIP6 (CMIP6)"

MIROC-ESM-CHEM-rcp26-1-0

"source_id":" MIROC-ESM-CHEM-rcp26-1-0”,

"comment":"This dataset was prepared using CMIP5 model MIROC-ESM-CHEM as input. A combination of historical and rcp26 datasets were used to create this forcing dataset for ISMIP6.",

"source":" MIROC-ESM-CHEM-rcp26-1-0

derived dataset computed from CMIP5 MIROC-ESM-CHEM rcp26
and historical simulations",
"title":"Dataset derived from MIROC-ESM-CHEM-rcp26-1-0
prepared for ISMIP6 (CMIP6)"

MIROC-ESM-CHEM-rcp85-1-0

"source_id":" MIROC-ESM-CHEM-rcp85-1-0”,

"comment":"This dataset was prepared using CMIP5 model MIROC-ESM-CHEM as input. A combination of historical and rcp85 datasets were used to create this forcing dataset for ISMIP6.",

"source":" MIROC-ESM-CHEM-rcp85-1-0

derived dataset computed from CMIP5 MIROC-ESM-CHEM rcp85
and historical simulations",
"title":"Dataset derived from MIROC-ESM-CHEM-rcp85-1-0
prepared for ISMIP6 (CMIP6)"

MIROC5-rcp26-1-0

"source_id":" MIROC5-rcp26-1-0”,

"comment":"This dataset was prepared using CMIP5 model MIROC5 as input. A combination of historical and rcp26 datasets were used to create this forcing dataset for ISMIP6.",

"source":" MIROC5-rcp26-1-0
derived dataset computed from CMIP5 MIROC5 rcp26
and historical simulations",
"title":"Dataset derived from MIROC5-rcp26-1-0
prepared for ISMIP6 (CMIP6)"

MIROC5-rcp85-1-0

"source_id":" MIROC5-rcp85-1-0”,

"comment":"This dataset was prepared using CMIP5 model MIROC5 as input. A combination of historical and rcp85 datasets were used to create this forcing dataset for ISMIP6.",

"source":" MIROC5-rcp85-1-0
derived dataset computed from CMIP5 MIROC5 rcp85
and historical simulations",
"title":"Dataset derived from MIROC5-rcp85-1-0
prepared for ISMIP6 (CMIP6)"

NorESM1-M-rcp26-1-0

"source_id":" NorESM1-M-rcp26-1-0”,

"comment":"This dataset was prepared using CMIP5 model NorESM1-M as input. A combination of historical and rcp26 datasets were used to create this forcing dataset for ISMIP6.",

"source":" NorESM1-M-rcp26-1-0
derived dataset computed from CMIP5 NorESM1-M rcp26
and historical simulations",
"title":"Dataset derived from NorESM1-M-rcp26-1-0

prepared for ISMIP6 (CMIP6)"

NorESM1-M-rcp85-1-0

"source_id":" NorESM1-M-rcp85-1-0”,

"comment":"This dataset was prepared using CMIP5 model NorESM1-M as input. A combination of historical and rcp85 datasets were used to create this forcing dataset for ISMIP6.",

"source":" NorESM1-M-rcp85-1-0
derived dataset computed from CMIP5 NorESM1-M rcp85
and historical simulations",
"title":"Dataset derived from NorESM1-M-rcp85-1-0 prepared for ISMIP6 (CMIP6)"

CMIP6 derived models

The source _id for these datasets below were derived from CMIP6 models so in the “comment” and “source” this needs to be changed from CMIP5 to CMIP6.

CESM2-ssp585-1-0

"source_id":" CESM2-ssp585-1-0”,

"comment":"This dataset was prepared using CMIP6 model CESM2 as input. A combination of historical and ssp585 datasets were used to create this forcing dataset for ISMIP6.",

"source":" CESM2-ssp585-1-0 derived dataset computed from CMIP5 CESM2 ssp585
and historical simulations",
"title":"Dataset derived from CESM2-ssp585-1-0 prepared for ISMIP6 (CMIP6)"

CNRM-CM6-1-ssp126-1-0

"source_id":" CNRM-CM6-1-ssp126-1-0”,

"comment":"This dataset was prepared using CMIP6 model CNRM-CM6-1 as input. A combination of historical and ssp126 datasets were used to create this forcing dataset for ISMIP6.",

"source":" CNRM-CM6-1-ssp126-1-0 derived dataset computed from CMIP5 CNRM-CM6-1 ssp126 and historical simulations",

"title":"Dataset derived from CNRM-CM6-1-ssp126-1-0 prepared for ISMIP6 (CMIP6)"

CNRM-CM6-1-ssp585-1-0

"source_id":" CNRM-CM6-1-ssp585-1-0”,

"comment":"This dataset was prepared using CMIP6 model CNRM-CM6-1 as input. A combination of historical and ssp585 datasets were used to create this forcing dataset for ISMIP6.",

"source":" CNRM-CM6-1-ssp585-1-0 derived dataset computed from CMIP5 CNRM-CM6-1 ssp585 and historical simulations",

"title":"Dataset derived from CNRM-CM6-1-ssp585-1-0 prepared for ISMIP6 (CMIP6)"

CNRM-ESM2-1-ssp585-1-0

"source_id":" CNRM-ESM2-1-ssp585-1-0”,

"comment":"This dataset was prepared using CMIP6 model CNRM-ESM2-1 as input. A combination of historical and ssp585 datasets were used to create this forcing dataset for ISMIP6.",

"source":" CNRM-ESM2-1-ssp585-1-0 derived dataset computed from CMIP5 CNRM-ESM2-1 ssp585 and historical simulations",

"title":"Dataset derived from CNRM-ESM2-1-ssp585-1-0 prepared for ISMIP6 (CMIP6)"

UKESM1-0-LL-ssp585-1-0

"source_id":" UKESM1-0-LL-ssp585-1-0”,

"comment":"This dataset was prepared using CMIP6 model UKESM1-0-LL as input. A combination of historical and ssp585 datasets were used to create this forcing dataset for ISMIP6.",

"source":" UKESM1-0-LL-ssp585-1-0 derived dataset computed from CMIP5 UKESM1-0-LL ssp585 and historical simulations",

"title":"Dataset derived from UKESM1-0-LL-ssp585-1-0 prepared for ISMIP6 (CMIP6)"

Thanks so much.
Please let me know if you need anything else.

Originally posted by @geresie in #101 (comment)

Register institution_id MPI-B

From: Sönke Zaehle
Date: Saturday, December 22, 2018 at 11:33 AM
To: "Durack, Paul J."
Cc: "Taylor, Karl E.", Chris D Jones, "Veronika Eyring"
Subject: Re: question regarding C4MIP additional forcing fields for input4mips

Dear Paul, 

many thanks for these instructions. I’ve followed the example header and meta data information instruction that you have given, which should be easy in this case, as the data are based on the CCMI N deposition data available through input4mips. 

You can find a draft version here  and I would be happy to receive feedback on how to improve the files. 

I am unfamiliar with the CMORisation process and would therefore prefer to avoid doing this if it is not absolutely needed. 

My institution is 
“MPI-B: Max Planck Institute for Biogeochemistry, 07745 Jena, Germany”

Best wishes,
Sönke

Sync guidance doc with repo

The dataset_category and other CVs indicated in http://goo.gl/r8up31 are not included in the repo - these should be added as controlled vocabs

source_id is the only other CV that is not sourced from upstream

Register source_id PCMDI-AMIP-1-1-8

In preparation for the 1.1.8 - 187001-202112 update, the revised source_id needs to be registered. Some tweaks to https://github.com/PCMDI/amipbcs will also likely be required to conform with the new input4MIPs_required_global_attributes.json

        "PCMDI-AMIP-1-1-8":{
            "calendar":"gregorian",
            "comment":"Based on Hurrell SST/sea ice consistency criteria applied to merged HadISST (1870-01 1981-10) & NCEP-0I2 (1981-11 to 2021-12)",
            "contact":"PCMDI ([email protected])",
            "dataset_category":"SSTsAndSeaIce",
            "further_info_url":"https://pcmdi.llnl.gov/mips/amip",
            "grid":"1x1 degree longitude x latitude",
            "grid_label":"gn",
            "institution":"Program for Climate Model Diagnosis and Intercomparison, Lawrence Livermore National Laboratory, Livermore, CA 94550, USA",
            "institution_id":"PCMDI",
            "nominal_resolution":"1x1 degree",
            "product":"observations",
            "references":"Taylor, K.E., D. Williamson and F. Zwiers, 2000: The sea surface temperature and sea ice concentration boundary conditions for AMIP II simulations. PCMDI Report 60, Program for Climate Model Diagnosis and Intercomparison, Lawrence Livermore National Laboratory, 25 pp. Available online: https://pcmdi.llnl.gov/report/pdf/60.pdf",
            "region":[
                "global_ocean"
            ],
            "release_year":"2022",
            "source":"PCMDI-AMIP 1.1.8: Merged SST based on UK MetOffice HadISST and NCEP OI2",
            "source_description":"Sea surface temperature and sea-ice datasets produced by PCMDI (LLNL) for the AMIP (DECK) experiment of CMIP6",
            "source_id":"PCMDI-AMIP-1-1-8",
            "source_type":"satellite_blended",
            "source_variables":[
                "areacello",
                "sftof",
                "siconc",
                "siconcbcs",
                "tos",
                "tosbcs"
            ],
            "source_version":"1.1.8",
            "target_mip":"CMIP",
            "title":"PCMDI-AMIP 1.1.8 dataset prepared for input4MIPs"
        }

Following example in #87

Register institution_id for NASA-GSFC

label = NASA-GSFC-ACCESS1-3-rcp85-1-0
source_id = NASA-GSFC-ACCESS1-3-rcp85-1-0
institution_id = NASA-GSFC
release_year = 2020
activity_participation = ISMIP6

Problem with SImon siconc variable

The current siconc sourced from the SImon table yields output of:

netcdf siconc_input4MIPs_SSTsAndSeaIce_CMIP_PCMDI-AMIP-1-1-3_gn_187001-201706 {
dimensions:
	time = UNLIMITED ; // (1770 currently)
	lat = 180 ;
	lon = 360 ;
	bnds = 2 ;
	strlen = 7 ;
variables:
	double time(time) ;
		time:bounds = "time_bnds" ;
		time:units = "days since 1870-01-01" ;
		time:calendar = "gregorian" ;
		time:axis = "T" ;
		time:long_name = "time" ;
		time:standard_name = "time" ;
	double time_bnds(time, bnds) ;
	double lat(lat) ;
		lat:bounds = "lat_bnds" ;
		lat:units = "degrees_north" ;
		lat:axis = "Y" ;
		lat:long_name = "latitude" ;
		lat:standard_name = "latitude" ;
	double lat_bnds(lat, bnds) ;
	double lon(lon) ;
		lon:bounds = "lon_bnds" ;
		lon:units = "degrees_east" ;
		lon:axis = "X" ;
		lon:long_name = "longitude" ;
		lon:standard_name = "longitude" ;
	double lon_bnds(lon, bnds) ;
	char type(strlen) ;
		type:long_name = "Sea Ice area type" ;
		type:standard_name = "area_type" ;
	float siconc(time, lat, lon) ;
		siconc:standard_name = "sea_ice_area_fraction" ;
		siconc:long_name = "Sea Ice Area Fraction" ;
		siconc:comment = "Area fraction of grid cell covered by sea ice" ;
		siconc:units = "%" ;
		siconc:cell_methods = "area: time: mean" ;
		siconc:cell_measures = "area: areacello" ;
		siconc:history = "2017-10-23T23:17:40Z altered by CMOR: Treated scalar dimension: \'type\'." ;
		siconc:coordinates = "type" ;
		siconc:missing_value = 1.e+20f ;
		siconc:_FillValue = 1.e+20f ;

Which is likely due to the erroneous dimensions:

"dimensions": "longitude latitude time typesi",

@taylor13 this will likely need fixing upstream in PCMDI/cmip6-cmor-tables

For ref, here is the dataRequest entry http://clipc-services.ceda.ac.uk/dreq/u/27c9a9d6-290e-11e7-8230-ac72891c3257.html

Generate new tables and variables for ISMIP6

@geresie that is the mrros variable see here from the Lmon table, whereas total runoff mrro is defined here for the Lmon table.

I will open a new issue to generate an Lyr table and make sure that mrros is included.

Which tables are you pulling the other variables from? I have guessed below, please correct anything wrong

"acabf" IyrGre/IyrAnt see here for the IyrGre table
"evspsbl" Amon see here
"mrros" Lmon see here
"pr", Amon as for evspsbl
"sftflf" is this fixed or time invariant, in which case it would be the fx table
"so" Omon see here
"ts" Amon see here

Obviously if you are generating annual mean data, all these tables become annual/yearly: Ayr, Lyr, Oyr etc etc

Originally posted by @durack1 in #106 (comment)

Register source_id PCMDI-AMIP-1-2-0

In preparation for the 1.2.0 - 187001-201906 update, the revised source_id needs to be registered. Some tweaks to https://github.com/PCMDI/amipbcs will also likely be required to conform with the new input4MIPs_required_global_attributes.json

        "PCMDI-AMIP-1-2-0":{
            "comment":"Based on Hurrell SST/sea ice consistency criteria applied to merged HadISST (1870-01 1981-10) & NCEP-0I2 (1981-11 to 2019-06)",
            "contact":"PCMDI ([email protected])",
            "dataset_category":"SSTsAndSeaIce",
            "further_info_url":"https://pcmdi.llnl.gov/mips/amip",
            "grid":"1x1 degree longitude x latitude",
            "grid_label":"gn",
            "institution":"Program for Climate Model Diagnosis and Intercomparison, Lawrence Livermore National Laboratory, Livermore, CA 94550, USA",
            "institution_id":"PCMDI",
            "nominal_resolution":"1x1 degree",
            "product":"observations",
            "references":"Taylor, K.E., D. Williamson and F. Zwiers, 2000: The sea surface temperature and sea ice concentration boundary conditions for AMIP II simulations. PCMDI Report 60, Program for Climate Model Diagnosis and Intercomparison, Lawrence Livermore National Laboratory, 25 pp. Available online: https://pcmdi.llnl.gov/report/pdf/60.pdf",
            "region":[
                "global_ocean"
            ],
            "release_year":"2018",
            "source":"PCMDI-AMIP 1.2.0: Merged SST based on UK MetOffice HadISST and NCEP OI2",
            "source_description":"Sea surface temperature and sea-ice datasets produced by PCMDI (LLNL) for the AMIP (DECK) experiment of CMIP6",
            "source_id":"PCMDI-AMIP-1-2-0",
            "source_type":"satellite_blended",
            "source_variables":[
                "areacello",
                "sftof",
                "siconc",
                "siconcbcs",
                "tos",
                "tosbcs"
            ],
            "source_version":"1.2.0",
            "target_mip":"CMIP",
            "title":"PCMDI-AMIP 1.2.0 dataset prepared for input4MIPs"
        }

Following example in #57 and #94

Register source_id UKESM1-CM6-ssp585-1-0

As per the request of @geresie from #108 (comment), add UKESM1-CM6-ssp585-1-0 to source_id

Can you please add this model below to the 'input4MIPs_CV.json'?

"UKESM1-CM6-ssp585-1-0":{
"comment":"Prepared using CMIP6 model UKESM1-CM6 as input. A combination of historical and ssp585 datasets were used to create this ISMIP6 forcing dataset",
"contact":"ISMIP6 Steering Team ([email protected])",
"dataset_category":"surfaceFluxes",
"further_info_url":"http://www.climate-cryosphere.org/wiki/index.php?title=ISMIP6_wiki_page",
"institution":"NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA",
"institution_id":"NASA-GSFC",
"nominal_resolution":"10 km",
"product":"derived",
"references":"Experimental protocol for sealevel projections from ISMIP6 standalone ice sheet models, Nowicki, S. et al, 2020, https://doi.org/10.5194/tc-2019-322",
"release_year":"2020",
"source":"UKESM1-CM6-ssp585-1-0 derived dataset computed from CMIP6 UKESM1-CM6 historical and ssp585 simulations for ISMIP6",
"source_description":"Ice sheet relevant datasets produced by the ISMIP6 Team for the standalone ice sheet experiment of ISMIP6",
"source_id":"UKESM1-CM6-ssp585-1-0",
"source_type":"AOGCM",
"source_variables":[
"acabf",
"evspsbl",
"mrros",
"pr",
"sftflf",
"so",
"ts"
],
"source_version":"1.0",
"target_mip":"ISMIP6",
"title":"ISMIP6 (CMIP6) - UKESM1-CM6-ssp585-1-0 derived data prepared for input4MIPs"
}

Register source_id MRI-JRA55-do-1-5-0

In preparation for the MRI-JRA55-do-1-5-0 - 195801-202007 update, with surface atmospheric variables around erroneously rotating tropical cyclones that originate from the raw JRA-55 being replaced by those of 20CRv3, a new source_id needs to be registered.

Create new A3hr table for JRA55-do OMIP dataset

The following variable mappings will be required, all residing in the atmos realm:

q_10 = huss (with height coordinate values specified as 10m) - 3hr
rain = pr - 3hr
rlds = rlds - 3hr
rsds = rsds - 3hr
slp = psl - 3hr also surface air pressure - 3hr
snow = prsn (or sbl?) - 3hr
t_10 = tas (with height coordinate values specified as 10m) - 3hr
u_10 = uas - E3hr
v_10 = vas - E3hr

In addition, an L3hr table may also be required for:
runoff_all = ? - L3hr

Register source_id PCMDI-AMIP-1-1-9

In preparation for the 1.1.9 - 187001-202212 update, the revised source_id needs to be registered. Some tweaks to https://github.com/PCMDI/amipbcs will also likely be required to conform with the new input4MIPs_required_global_attributes.json

        "PCMDI-AMIP-1-1-9":{
            "calendar":"gregorian",
            "comment":"Based on Hurrell SST/sea ice consistency criteria applied to merged HadISST (1870-01 1981-10) & NCEP-0I2 (1981-11 to 2022-12)",
            "contact":"PCMDI ([email protected])",
            "dataset_category":"SSTsAndSeaIce",
            "further_info_url":"https://pcmdi.llnl.gov/mips/amip",
            "grid":"1x1 degree longitude x latitude",
            "grid_label":"gn",
            "institution":"Program for Climate Model Diagnosis and Intercomparison, Lawrence Livermore National Laboratory, Livermore, CA 94550, USA",
            "institution_id":"PCMDI",
            "nominal_resolution":"1x1 degree",
            "mip_era":"CMIP6Plus",
            "product":"observations",
            "references":"Taylor, K.E., D. Williamson and F. Zwiers, 2000: The sea surface temperature and sea ice concentration boundary conditions for AMIP II simulations. PCMDI Report 60, Program for Climate Model Diagnosis and Intercomparison, Lawrence Livermore National Laboratory, 25 pp. Available online: https://pcmdi.llnl.gov/report/pdf/60.pdf",
            "region":[
                "global_ocean"
            ],
            "release_year":"2023",
            "source":"PCMDI-AMIP 1.1.8: Merged SST based on UK MetOffice HadISST and NCEP OI2",
            "source_description":"Sea surface temperature and sea-ice datasets produced by PCMDI (LLNL) for the AMIP (DECK) experiment of CMIP6Plus",
            "source_id":"PCMDI-AMIP-1-1-9",
            "source_type":"satellite_blended",
            "source_variables":[
                "areacello",
                "sftof",
                "siconc",
                "siconcbcs",
                "tos",
                "tosbcs"
            ],
            "source_version":"1.1.9",
            "target_mip":"CMIP",
            "title":"PCMDI-AMIP 1.1.9 dataset prepared for input4MIPs"
        }

Following example in #123

Variable facet

@durack1, I was asked by a user why the variable names are partly with a '-' and partly with a '_'. I would like to add that the variables are partly short names and partly CF-like long names. As a consequence the variable facet in the CoG portal is a bit confusing for users.

It would be good to tidy the variable facet a bit up:

  • use only '_' and no '-'
  • use abbreviations for chemical species (at the moment partly long names are in use).

What do you and Sasha think?

Dataset licenses need attention

On 11/25/19, 11:44 PM, "Martina Stockhause" wrote:
...
    Meanwhile, I have spot-checked the licenses in the NetCDF headers and 
    have found some issues:
    
    * Some centers did not change the license template:
    ** some have a license with the star place holder or with brackets, e.g.
    Creative Commons Attribution-[*]ShareAlike 4.0 or
    Creative Commons Attribution-[NonCommercial-]ShareAlike 4.0
    ** ECMWF has used their own British Crown license (The license for 
    ECMWF's CMIP6 data is CC BY-NC-SA 4.0)    
    ** some acknowledge PCMDI as creator of the data e.g. CAS or INM for CMIP6
    
    * input4MIPs has additionally the issues:
    
    ** two centers have not specified a license:  IACETH, NCAS
    
    As the license is part of the data header, we cannot do much about it 
    for CMIP6. For CMIP7 it would be better to collect license information 
    together with the registration and enable CMOR to write the registered 
    license properly into the data header.
    
    Cheers,
    Martina

@MartinaSt

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