Closed znicholls closed 4 years ago
Thanks for this suggestion @znicholls - we will include this data in the next release.
@znicholls, I looked at the data you sent bilaterally in preparation for release 2.0 (following to the release of the IPCC SRCCL), and it seems to me that most it is actually already available - just in different units or naming conventions (carbon vs. carbon dioxide, Gt vs Mt, SOx vs. Sulfur, etc.). After conversion, I could not identify any significant data difference.
So simply adding this information risks confusion of non-expert users. Therefore, I would prefer to not include duplicate data entries in the data - instead, we could make the MAGICC input file in the native MAGICC convention available as a separate file in the 'Downloads' section of the Scenario Explorer.
@znicholls @chrisroadmap @rgieseke @svenwillner @gidden, any comments?
Ok great.
So simply adding this information risks confusion of non-expert users
I agree let's not do that if it's already there. Can you talk me through how to get hold of it? At the moment there's a couple of problems.
The timeseries variables Emissions|*
are the data as submitted by modelling teams. If the specific data is greyed out, no data is available for the chosen models/scenarios in the previous tab.
The timeseries variables Diagnostics|MAGICC6|Harmonized Input|Emissions|*
are the data after harmonisation and filling from background scenarios.
See this workspace for an illustration.
The timeseries variables
Diagnostics|MAGICC6|Harmonized Input|Emissions|*
are the data after harmonisation and filling from background scenarios
Ahah beauty thanks! All good from my end then
All good from my end then
Almost... Is there a reason the following scenarios have a different harmonisation to all the other scenarios (in 2010) in the workspace you shared?
MESSAGE-GLOBIOM 1.0-EMF33_1.5C_cost100 MESSAGE-GLOBIOM 1.0-EMF33_1.5C_full MESSAGE-GLOBIOM 1.0-EMF33_Baseline MESSAGE-GLOBIOM 1.0-EMF33_Med2C_cost100 MESSAGE-GLOBIOM 1.0-EMF33_Med2C_full MESSAGE-GLOBIOM 1.0-EMF33_Med2C_limbio MESSAGE-GLOBIOM 1.0-EMF33_Med2C_nobeccs MESSAGE-GLOBIOM 1.0-EMF33_Med2C_nofuel MESSAGE-GLOBIOM 1.0-EMF33_Med2C_none MESSAGE-GLOBIOM 1.0-EMF33_WB2C_cost100 MESSAGE-GLOBIOM 1.0-EMF33_WB2C_full MESSAGE-GLOBIOM 1.0-EMF33_WB2C_limbio MESSAGE-GLOBIOM 1.0-EMF33_WB2C_nofuel MESSAGE-GLOBIOM 1.0-EMF33_tax_hi_full MESSAGE-GLOBIOM 1.0-EMF33_tax_hi_none MESSAGE-GLOBIOM 1.0-EMF33_tax_lo_full MESSAGE-GLOBIOM 1.0-EMF33_tax_lo_none MESSAGEix-GLOBIOM 1.0-CD-LINKS_INDCi MESSAGEix-GLOBIOM 1.0-CD-LINKS_NPi MESSAGEix-GLOBIOM 1.0-CD-LINKS_NPi2020_1000 MESSAGEix-GLOBIOM 1.0-CD-LINKS_NPi2020_1600 MESSAGEix-GLOBIOM 1.0-CD-LINKS_NPi2020_400 MESSAGEix-GLOBIOM 1.0-CD-LINKS_NoPolicy
In the data I sent through they've been adjusted so they do have the same harmonisation as all the other scenarios. I tried to work out how this was done but the two obvious choices didn't work (it's neither a constant scaling factor nor a constant offset...)
@danielhuppmann any thoughts on this one if you have a minute?
I have also run into this issue, today in fact. Perhaps the harmonized emissions for these scenarios didn't get picked up in v2.0 - related to #1 possibly?
I have also run into this issue, today in fact. Perhaps the harmonized emissions for these scenarios didn't get picked up in v2.0 - related to #1 possibly?
Unfortunately not related to #1 or release 2.0 (which didn't change any of these data points). I'll investigate.
@danielhuppmann just a quick ping here to see if anything has come of your investigations, could be helpful learning for other work which is ongoing.
@danielhuppmann was there ever an update on this (fine if not, we can implement a custom solution on our side)?
I didn't have a chance to do another release of the IAMC 1.5°C Scenario Ensemble and, to be honest, unless any critical inconsistencies are discovered, I won't be able to spend time on it in the coming months.
Ok will close now then
Would it be possible to include the scenario data used by the stylised climate models as part of the SR1.5 climate assessment process as part of the next data release? This would be very helpful for many researchers and ensure that assumptions required to go from native model data to scenarios which can be used by stylised climate models are consistent and publicly available.