Comments (3)
We have tried to fix this issue ex-post and update the scenario data, but this is beyond the scope of resources currently available. We will therefore remove all regional price data in the next release to avoid misleading analysis based on this data.
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Hi Daniel,
hmm... it is however, very important to know the regional carbon prices to know what drives the transition in the various regions.
As long as the carbon prices are unifrom across regions, there is no problem. E.g. this is what we asked the teams to implement in EMF33.
But there might be other cases. I can understand, if you do the deletion for energy and food prices, but carbon prices is a bad example.
BEst
Nico
from ipcc_sr15_scenario_analysis.
I fully understand your concern about removing potentially correct data, @nicobauer. However, reaching out to all teams and projects asking for whether the data is correct is not feasible given current resources, vacation plans at the contributing research groups, and the timeline for the forthcoming release to coincide with the IPCC SRCCL.
from ipcc_sr15_scenario_analysis.
Related Issues (20)
- SSP Scenarios - Missing climate variables HOT 2
- Provide file sr15_specs.yaml in repository HOT 1
- Cross-reference the github repository in the notebooks HOT 2
- SSP data with zero carbon prices HOT 5
- Scenario data used by stylised climate models HOT 13
- "Comment" capability for the scenario database? HOT 1
- Re-executability - notes from my journey HOT 4
- Include figure on CO2 contribution in illustrative pathways of SPM3b in notebook
- Unit labels for hydrofluorocarbons are set to 'kt HFC23'
- API change HOT 4
- MESSAGE-GLOBIOM_1.0 EMF33 scenarios are from MESSAGEix-GLOBIOM_1.0 HOT 1
- release 2.0 notebooks still load release 1.1 data by default HOT 1
- Data reporting bug for EMF33 REMIND-MAgPIE
- Shell Sky scenario CO2 emissions classification
- aggregation issue with Capital Cost variables HOT 1
- possible error in POLES ADVANCE onshore/offshore wind capacities HOT 5
- POLES Fossil CCS may be in the wrong units HOT 1
- HFC units incorrect in the Diagnostic|* variables
- Regression errors thrown in notebooks on recent/updated (Dec 2021) package environment (pyam 1.0+, possibly other packages also implicated) HOT 8
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