3.67
input fields base data results Calculations for a freely selectable country on the EDGAR database (exluding LUC and ISA) 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 to distribute here from 2020 (B_global): 629  Gt  total CO2 budget from 2020 on:  650  Gt
2020 - 2100
share selected country in global population 2019 1.07% national budgets 6.72  Gt ► weighting 100% population in 2019 82.44  Mill. P_i_BY
share selected country in global emissions 2019 1.90% 11.93  Gt ► weighting 100% emissions in 2019 697.01  Mill. t E_i_BY
per capita emissions 8.45  t
per capita global 4.77  t
weighted key   1.48% weighting population 50%
national CO2 budget 2020 - 2100 (B_i) 9.33  Gt scope:  13.4  years 9.68
year emissions neutrality in a linear emissions path with no net negative emissions:     2048
B. Distribution of the global budget from 2016 (BY = 2016):  
global budget to distribute here from 2016 (B_global): 766  Gt  total CO2 budget from 2020 on:  650  Gt
2016 - 2100
share selected country in global population 2016 1.10% national budgets 8.41  Gt ► weighting 100% population in 2016 81.91  Mill. P_i_BY
share selected country in global emissions 2016 2.24% 17.20  Gt ► weighting 100% emissions in 2016 789.71  Mill. t E_i_BY
per capita emissions 9.64  t
weighted key   1.67% weighting population 50% per capita global 4.71  t
national CO2 budget 2016 - 2100 (B_i) 12.81  Gt weighting population 50%
- emissions of the selected country 2016 - 2019     -3.01  Gt
national CO2 budget 2020 - 2100 9.80  Gt scope:  14.1  years 10.19
year emissions neutrality in a linear emissions path with no net negative emissions:     2049
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 9.33 9.80  Gt  B: Distribution of the global budget from 2016
actual emissions 2020 -0.643  Gt global budget 650 Gt
2021 -0.678  Gt
2022 -0.660  Gt
2023 -0.583  Gt
national budget from 2024 on 6.76 7.24  Gt 7.10 7.57
scope in years 11.6 12.4  budget from 2024 on divided by emissions in 2023
year emissions neutrality 2048 2049  linear emissions path with no net negative emissions; start year: 2020
2045 2046 2024
Which emissions do the national budgets cover here?                    
The national budgets refer basically to CO2 emissions from the use of fossil fuels and from cement production excluding international shipping and aviation (ISA).
Emissions from land-use change (LUC) are therefore not included.
Other CO2 sinks (e.g. technical recapture of CO2 from the atmosphere and geological storage) can be taken into account. But it must be taken in consideration that negative CO2 emissions are also needed to compensate for other greenhouse gases that cannot be avoided. These negative emissions cannot be counted here.
This is also the way the global budget to be distributed here was calculated (see sheet "base data global budget").
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
Here are the necessary data for the selected country: Germany
national budget from 2020 on A (2020) 9.33  Gt  Distribution of the global budget from 2020 weighting population 50%
B (2016) 9.80  Gt  Distribution of the global budget from 2016
emissions in 2018   0.747  Gt  Basis calculation start change rate 2020 global budget 650 Gt
emissions in the base year 2019   0.697  Gt
  year  
reference year emissions 2015 0.785  Gt
2010 0.815  Gt
1990 1.013  Gt
Excel tools                        
In order to be able to make more detailed settings, such as taking into account the actual emissions after 2019, please refer to the Excel tool for the Extended Smooth Pathway Model (ESPM), which can be downloaded here:
https://doi.org/10.5281/zenodo.4580310
You can also use our emission path Excel tool, which does not include a country emissions database:
https://doi.org/10.5281/zenodo.4568839
see the "Data export" sheet for easy copying of data from this tool into the universal tool
Paper: six largest emitters                      
The paper "Calculation of Paris-compatible Emission Targets for the Six Largest Emitters 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.4764408
Calculation of the Implicit Weighting of the Population (IWP) for a given national budget (BY = 2019)          
global budget to distribute here from 2020 (B_global): 629  Gt  total CO2 budget from 2020 on:  650  Gt
2020 - 2100
share selected country in global population 2019 1.07% national budgets 6.72  Gt ► weighting 100% population in 2019 82.44  Mill. P_i_BY
share selected country in global emissions 2019 1.90% 11.93  Gt ► weighting 100% emissions in 2019 697.01  Mill. t E_i_BY
per capita emissions 8.45  t
per capita global 4.77  t
national CO2 budget 2020 - 2100 (B_i) 8.02  Gt This value can be derived from the NDC, for example. 8.37
see below which emissions are covered here
Implicit Weighting Population (IWP) 75% C
weighted key 1.28%
scope of the national budget:         11.5  years
year emissions neutrality in a linear emissions path with no net negative emissions:   2044
Excel tool Germany: Deriving a CO2 budget from the targets of the German federal government            
https://doi.org/10.5281/zenodo.6535174