3,67
input fields base data results Calculations for the EU on the EEA database
(including LUC and ISA)[1]		 B_i_cor
select a country: Germany
Calculation of national budgets with a given weighting of the population                
explicit weighting popluation 50% C
A. Distribution of the global budget from 2020 (BY = 2019):  
global budget from 2020 on (B_global): 550  Gt  
2020 - 2100
share selected country in global population 2019 1,08% national budgets 5,93  Gt ► weighting 100% population in 2019 83  Mill. P_i_BY
share selected country in global emissions 2019 1,74% 9,59  Gt ► weighting 100% emissions in 2019 726  Mill. t E_i_BY
per capita emissions 8,74  t
per capita global 5,40  t
weighted key   1,41% weighting population 50%
national CO2 budget 2020 - 2100 (B_i) 7,761  Gt scope:  10,7  years 8,12
year emissions neutrality in a linear emissions path with no net negative emissions:     2042
B. Distribution of the global budget from 2016 (BY = 2016):  
global budget to distribute here from 2016 on (B_global): 713  Gt  total CO2 budget from 2020 on:  550  Gt
2016 - 2100
share selected country in global population 2016 1,10% national budgets 7,87  Gt ► weighting 100% population in 2016 82  Mill. P_i_BY
share selected country in global emissions 2016 2,03% 14,51  Gt ► weighting 100% emissions in 2016 815  Mill. t E_i_BY
per capita emissions 9,90  t
weighted key   1,57% weighting population 50% per capita global 5,40  t
national CO2 budget 2016 - 2100 (B_i) 11,19  Gt weighting population 50%
- emissions of the selected country 2016 - 2019     -3,12  Gt
national CO2 budget 2020 - 2100 8,073  Gt scope:  11,1  years 8,48
year emissions neutrality in a linear emissions path with no net negative emissions:     2043
Remaining national budgets taking into account actual emissions after 2019                
Country selected: Germany
  A (2020) B (2016)    A: Distribution of the global budget from 2020 weighting population 50%
national budget from 2020 on 7,761 8,073  Gt  B: Distribution of the global budget from 2016
- actual emissions 2020 -0,661  Gt  
- actual emissions 2021 -0,697  Gt
- actual emissions 2022 (UBA) -0,690  Gt
national budget from 2023 on 5,713 6,025  Gt 6,06 6,37
year emissions neutrality 2042 2043  in a linear emissions path with no net negative emissions; start year 2020
year emissions neutrality 2041 2041  in a linear emissions path with no net negative emissions; start year 2023
national budget from 2022 on 6,403 6,715  Gt
Which emissions do the national budgets cover here?                    
The national budgets refer to all anthropogenic CO2 emissions (use of fossil fuels incl. ISA, cement production, land-use change and other CO2 sinks (e.g. technical recapture of CO2 from the atmosphere and geological storage)).
It must be taken into account that negative CO2 emissions are also needed to compensate for other greenhouse gases that cannot be avoided. These negative emissions cannot be counted here.
Extended Smooth Pathway Model (ESPM)                      
Basic idea behind the ESPM:
1. National budgets: A predefined global CO2 budget is distributed to countries. The ESPM offers the weighted distribution key also used here for this purpose.
2. National paths: The ESPM offers the Regensburg Model Scenario Types RM 1 - 6 to derive plausible national paths that adhere to a national budget.
Wep app                        
The national budgets calculated here can be used in the following web application to calculate different national emission paths that all adhere to the given budget:
http://paths.climate-calculator.info
necessary data see below
Excel tool                        
To be able to make more detailed settings and have more options, such as taking into account actual emissions after 2019, please refer to the Excel tool, which can be downloaded here (necessary data see below or use the sheet "Data export"):
https://doi.org/10.5281/zenodo.4568839
see the "Data export" sheet for easy copying of data from this tool into the universal tool
Data for the web app or the Excel tool to calculate Paris-compatible emission paths (see also "Data export" sheet)          
Here are the necessary data for the selected country: Germany
national budget from 2020 on A (2020) 7,761  Gt  Distribution of the global budget from 2020 weighting population 50%
B (2016) 8,073  Gt  Distribution of the global budget from 2016
emissions in the year       source
Data for the Excel tool 1990   1,102  Gt EEA reference year         Data for the web app
2018   0,774  Gt EEA basis for the calculation of the 2020 starting rate of change
2019   0,726  Gt EEA base year -6,17% RR_19
2020   0,661  Gt EEA
2021   0,697  Gt EEA
2022   0,690  Gt UBA
Paper: EU and Germany                      
The paper "Calculation of Paris-compatible Emission Targets for the EU and Germany with the Extended Smooth Pathway Model (ESPM)" shows exemplary emission targets under different global frameworks and can be downloaded here:
https://doi.org/10.5281/zenodo.5678717
Calculation of the Implicit Weighting of the Population (IWP) for a given national budget (BY = 2019)          
global budget from 2020 on (B_global): 550  Gt  
2020 - 2100
share selected country in global population 2019 1,08% national budgets 5,93  Gt ► weighting 100% population in 2019 83  Mill. P_i_BY
share selected country in global emissions 2019 1,74% 9,59  Gt ► weighting 100% emissions in 2019 726  Mill. t E_i_BY
per capita emissions 8,74  t
per capita global 5,40  t
national CO2 budget 2020 - 2100 (B_i) 7,90  Gt This value can be determined, for example, on the basis of the EU's NDC or national climate legislation. 8,26
see below which emissions are covered here
Implicit Weighting Population (IWP) 46% C
weighted key 1,44%
scope of the national budget:         10,9  years
year emissions neutrality in a linear emissions path with no net negative emissions:   2043
Excel tool Germany: Deriving a CO2 budget from the targets of the German federal government            
https://doi.org/10.5281/zenodo.6535174
[1]
AW:
The EEA shows LULUCF emissions.

For simplicity, it is assumed here that LUC = LULUCF.