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3,67 |
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input fields |
base data |
results |
|
Calculations for a freely
selectable country on the EDGAR database (exluding LUC and ISA) |
|
B_i_cor |
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select a
country: |
Germany |
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Calculation of national
budgets with a given weighting of the population |
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explicit weighting
popluation |
50% |
C |
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A. Distribution of the global budget from 2020 (BY = 2019): |
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global budget to
distribute here from 2020 (B_global): |
629 |
Gt |
total CO2 budget from 2020 on: |
650 |
Gt |
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2020 - 2100 |
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|
share selected country in global population 2019 |
1,07% |
national budgets |
6,72 |
Gt |
► weighting 100% |
population
in 2019 |
82,44 |
M |
P_i_BY |
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share selected country in global emissions 2019 |
1,90% |
11,94 |
Gt |
►
weighting 100% |
emissions
in 2019 |
696,50 |
M t |
E_i_BY |
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per capita emissions |
8,45 |
t |
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per capita global |
4,76 |
t |
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weighted key |
|
1,48% |
weighting population |
50% |
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|
national
CO2 budget 2020 - 2100 (B_i) |
9,33 |
Gt |
scope: |
13,4 |
years |
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9,68 |
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year emissions
neutrality in a linear emissions path with no net negative emissions: |
|
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2048 |
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B. Distribution of the global budget from 2016 (BY = 2016): |
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|
global budget to
distribute here from 2016 (B_global): |
766 |
Gt |
total CO2 budget from 2020 on: |
650 |
Gt |
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2016 - 2100 |
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|
share selected country in global population 2016 |
1,10% |
national budgets |
8,40 |
Gt |
► weighting 100% |
population
in 2016 |
81,91 |
M |
P_i_BY |
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|
share selected country in global emissions 2016 |
2,25% |
17,19 |
Gt |
►
weighting 100% |
emissions
in 2016 |
789,25 |
M t |
E_i_BY |
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per capita emissions |
9,64 |
t |
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weighted key |
|
1,67% |
weighting population |
50% |
|
|
per capita global |
4,71 |
t |
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|
national CO2 budget 2016 - 2100 (B_i) |
12,80 |
Gt |
weighting population |
50% |
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|
- emissions of the
selected country 2016 - 2019 |
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|
-3,01 |
Gt |
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|
national
CO2 budget 2020 - 2100 |
9,79 |
Gt |
scope: |
14,1 |
years |
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10,19 |
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|
year emissions
neutrality in a linear emissions path with no net negative emissions: |
|
|
2049 |
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Remaining national
budgets taking into account actual emissions after 2019 |
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Country selected: |
|
Germany |
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|
A (2020) |
B (2016) |
|
A: Distribution of the global budget from 2020 |
weighting population |
50% |
|
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|
national budget from 2020 on |
9,33 |
9,79 |
Gt |
B: Distribution of the global budget from 2016 |
|
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|
actual emissions |
2020 |
-0,642 |
Gt |
global budget from 2020
on |
650 |
Gt |
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2021 |
-0,671 |
Gt |
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2022 |
-0,658 |
Gt |
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2023 |
-0,590 |
Gt |
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2024 |
-0,580 |
Gt |
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|
national budget from 2025 on |
6,19 |
6,65 |
Gt |
|
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|
6,48 |
6,94 |
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scope in years |
10,5 |
11,3 |
budget from 2025 on divided by emissions in
2024 |
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|
year
emissions neutrality |
2048 |
2049 |
linear emissions path
with no net negative emissions; start year: |
2020 |
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2047 |
2049 |
2025 |
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Which emissions do the
national budgets cover here? |
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The national
budgets refer basically to CO2 emissions from the use of fossil fuels and
from cement production excluding international shipping and aviation (ISA). |
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Emissions from
land-use (LUC/LULUCF) are therefore not included. |
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This is also the way the
global budget to be distributed here was calculated (see sheet "base
data global budget"). |
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Extended Smooth Pathway
Model (ESPM) |
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Basic idea behind the ESPM: |
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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. |
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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. |
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Wep app |
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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: |
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https://paths.climate-calculator.info/ |
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See the ‘Data export’ sheet for the data required there. |
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Excel tools |
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In order
to be able to make more detailed settings, please refer to the Excel tool for the Extended Smooth
Pathway Model (ESPM), which can be downloaded here: |
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https://doi.org/10.5281/zenodo.4580310 |
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You can also use
our emission path Excel tool, which does not include a country emissions
database: |
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https://doi.org/10.5281/zenodo.4568839 |
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See the "Data export" sheet for easy copying of
data from this tool into the universal tool |
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Paper: six largest
emitters |
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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: |
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https://doi.org/10.5281/zenodo.4764408 |
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Calculation of the
Implicit Weighting of the Population (IWP) for a given national budget (BY = 2019) |
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global budget to
distribute here from 2020 (B_global): |
629 |
Gt |
total CO2 budget from 2020 on: |
650 |
Gt |
country: |
Germany |
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2020 - 2100 |
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share selected country in global population 2019 |
1,07% |
national budgets |
6,72 |
Gt |
► weighting 100% |
population
in 2019 |
82,44 |
M |
P_i_BY |
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share selected country in global emissions 2019 |
1,90% |
11,94 |
Gt |
►
weighting 100% |
emissions
in 2019 |
696,50 |
M t |
E_i_BY |
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per capita emissions |
8,45 |
t |
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per capita global |
4,76 |
t |
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national
CO2 budget 2020 - 2100 (B_i) |
8,02 |
Gt |
This value
can be derived from the NDC, for example. |
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8,37 |
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see below
which emissions are covered here |
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Implicit
Weighting Population (IWP) |
75% |
C |
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weighted
key |
1,28% |
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scope of the national
budget: |
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11,5 |
years |
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year emissions
neutrality in a linear emissions path with no net negative emissions: |
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2044 |
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Deriving an implicit CO2
budget from Germany's climate protection law: |
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https://doi.org/10.5281/zenodo.6535174 |
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