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Recommendations for calculation of the global warming potential of aviation including the radiative forcing index

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Purpose There are specific effects of emissions in high altitude, which lead to a higher contribution of aviation to the problem of climate change than just the emission of CO2 from burning fuels. The exact relevance is subject to scientific debate, but there is a consensus that aircrafts have an impact that is higher than just their contribution due to the direct CO2 emissions. The gap between this scientific knowledge on the one side and the missing of applicable GWP (global warming potential) factors for relevant emissions on the other side are an important shortcoming for life cycle assessment (LCA) or carbon footprint (CF) studies which aim to cover all relevant environmental impacts of the transport services investigated. Methods In this paper, the state of the art concerning the accounting for the specific effects of aircraft emissions in LCA and CF studies is discussed. Therefore, the relevant literature was evaluated, and practitioners were asked for the approaches used by them. Results and discussion Five major approaches are identified ranging from an RFI (radiative forcing index) factor of 1 (no factor at all) to a factor 2.7 for the total aircraft CO2 emissions. If only emissions in the higher atmosphere are considered, RFI factors between 1 and 8.5 are used or proposed in practice. Conclusions For the time being, an RFI of 2 on total aircraft CO2 (or 5.2 for the CO2 emissions in the higher atmosphere if using present models in ecoinvent) is recommended to be used in LCA and CF studies because it is based on the latest scientific publications; this basic literature cannot be misinterpreted. Furthermore, it is also recommended by some political institutions. These factors can be multiplied by the direct CO2 emissions of the aircraft to estimate the total global warming potential.
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ESU-services Ltd. Vorstadt 14 CH-8200 Schaffhausen
Niels Jungbluth jungbluth@esu-services.ch T +41 44 940 61 32
Christoph Meili meili@esu-services.ch T +41 44 940 61 35
www.esu-services.ch F +41 44 940 67 94
2018
Int J LCA
Recommendations for calculation of the
global warming potential of aviation
including the radiative forcing index
© ESU-services Ltd. - i -
Recommendations for calculation of the
global warming potential of aviation includ-
ing the radiative forcing index
Article accepted for publication in the International Journal of
LCA (online first 19.11.2018)
DOI: 10.1007/s11367-018-1556-3
https://link.springer.com/article/10.1007/s11367-018-1556-3
Authors
Niels Jungbluth;Christoph Meili
ESU-services Ltd.
Vorstadt 14
CH-8200 Schaffhausen
jungbluth@esu-services.ch
www.esu-services.ch
Tel. +41 44 940 61 32
© ESU-services Ltd. - ii -
Contents
ABSTRACT IV
KURZFASSUNG IV
RÉSUMÉ V
KEYWORDS V
RECOMMENDATIONS FOR CALCULATION OF THE GLOBAL WARMING POTENTIAL
OF AVIATION INCLUDING THE RADIATIVE FORCING INDEX VI
SUMMARY VI
1 INTRODUCTION 1
2 OVERVIEW ON APPROACHES USED IN LIFE CYCLE ASSESSMENT AND
CARBON FOOTPRINTING 5
3 RECOMMENDATIONS FOR CALCULATING THE GLOBAL WARMING POTENTIAL
OF AVIATION IN LCA 7
4 RESULTS 8
5 OUTLOOK 9
6 REFERENCES 9
7 ANNEXE 11
© ESU-services Ltd. - iii -
Imprint
Niels Jungbluth;Christoph Meili (2018) Recommendations for calculation of the global warming
potential of aviation including the radiative forcing index. Int J LCA (accepted), DOI:
10.1007/s11367-018-1556-3, Schaffhausen, Switzerland, www.esu-services.ch/de/publications/
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© ESU-services Ltd. - iv -
Abstract
Aircrafts contribute more to global warming than can be expected from their CO2 emissions
alone. The relevant scientific evidence is available. However, suitable GWP factors (Global
Warming Potential) for relevant emissions are lacking. This is a shortcoming in the calculation
of the CO2 footprint (CF). In an article accepted by the Int J LCA, the state-of-the-art for ac-
counting for such impacts is presented. Approaches found for the so-called RFI (radiative-forc-
ing-index) factor are ranging from 1 to 2.7. This RFI factor can be multiplied with the direct
CO2 emissions of aircrafts to calculate the total global warming potential of aviation services.
An RFI factor of 2 on total aircraft CO2 emissions is recommended in this article because it is
based on the correct interpretation of the most recent scientific publications. If detailed data on
the share of emissions in the higher atmosphere are available, calculations will be more accurate
if the CO2 emissions in the higher atmosphere are multiplied by a factor of 5.2. In this way, in
typical assessments, this leads to a relevant increase in the GWP impacts due to aviation ser-
vices.
The proposed method can be applied in carbon footprint and life cycle assessment studies. It is
recommended to use this factor at least in a sensitivity analysis if impacts of aviation transport
play a relevant role in a life cycle. The factor also needs to be considered for aircrafts using
biofuels.
Kurzfassung
Flugzeuge tragen mehr zur globalen Erwärmung, als allein auf Grund ihrer direkten CO2-Emis-
sionen zu erwarten ist. Die entsprechenden wissenschaftlichen Erkenntnisse liegen vor. Es feh-
len jedoch geeignete GWP-Faktoren (Global Warming Potential) für die für diesen Effekt rele-
vante Emissionen. Dies ist ein Mangel bei der Berechnung des CO2-Fußabdrucks (CF). In ei-
nem Artikel, der vom Int J LCA zur Publikation angenommen wurde, wird der Stand der Wis-
senschaft zur Berücksichtigung solcher Auswirkungen in Ökobilanzen aufgezeigt. Die Ansätze
für RFI-Faktoren (radiative Forcing-Index) reichen von 1 bis 2.7. Dieser RFI Faktor wird dann
mit den direkten CO2-Emissionen von Flugzeugen multipliziert, um das gesamte Treibhauspo-
tenzial von Flugverkehrsdiensten zu berechnen.
Gemäss der Analyse im Artikel wird ein RFI-Faktor von 2 für die gesamten CO2-Emissionen
von Flugzeugen empfohlen, da er auf der richtigen Interpretation der neuesten wissenschaftli-
chen Veröffentlichungen basiert. Wenn detaillierte Daten über den Anteil der Emissionen in
der höheren Atmosphäre vorliegen, sind die Berechnungen genauer, wenn ein Faktor von 5.2
direkt mit der Menge der CO2-Emissionen in der höheren Atmosphäre multipliziert wird. Auf
diese Weise führt dies in der Bewertung zu einer relevanten Erhöhung des Treibhauspotenzials
durch Luftverkehrsdienstleistungen.
Der vorgeschlagene Ansatz und Faktor kann für die Berechnung von CO2-Fussabdrücken und
Ökobilanzen verwendet werden. Es wird empfohlen diesen Faktor in alle Studien, zumindest in
einer Sensitivitätsanalyse, einzusetzen, in denen ein relevanter Beitrag von CO2 Emissionen aus
dem Flugverkehr gegeben ist. Der Faktor muss auch dann berücksichtigt werden, wenn Bio-
treibstoffe für Flugzeuge eingesetzt werden.
© ESU-services Ltd. - v -
Résumé
La contribution des avions au réchauffement de la planète est supérieure à ce que l'on peut
attendre seul de leurs émissions de CO2. Les preuves scientifiques pertinentes sont disponibles.
Toutefois, les facteurs de PRP (potentiel de réchauffement de la planète) appropriés pour les
émissions pertinentes font défaut. Il s'agit d'une lacune dans le calcul de l'empreinte CO2 (FC).
Dans ce article accepté par l'Int J LCA, l'état de l'art en matière de comptabilisation de ces
impacts est présenté. Les approches vont de facteurs RFI (radiatif-forcing-index) de 1 à 2,7 qui
peuvent être multipliés par les émissions directes de CO2 des avions pour calculer le potentiel
de réchauffement global total des services aériens.
Un facteur de RFI de 2 sur les émissions totales de CO2 des avions est recommandé dans cet
article car il est basé sur l'interprétation correcte des publications scientifiques les plus récentes.
Si des données détaillées sur la part des émissions dans la haute atmosphère sont disponibles,
les calculs seront plus précis si un facteur RFI de 5,2 est multiplié par ces émissions de CO2
dans la haute atmosphère. De cette façon, dans des évaluations typiques, cela conduit à une
augmentation significative des impacts du PRG dus aux services aériens.
La méthode proposée peut être appliquée dans les études d'empreinte carbone et d'analyse du
cycle de vie. Il est recommandé de l'utiliser au moins comme analyse de sensibilité si les inci-
dences du transport aérien jouent un rôle important dans un cycle de vie. Ce facteur doit égale-
ment être pris en compte pour les avions utilisant des biocarburants.
Keywords
global warming potential, aviation, radiative forcing index, climate change, aircraft, transport
services
© ESU-services Ltd. - vi -
Recommendations for calculation of the global
warming potential of aviation including the radiative
forcing index
Niels Jungbluth;Christoph Meili
Article accepted for publication in the International Journal of LCA
DOI: 10.1007/s11367-018-1556-3
https://link.springer.com/article/10.1007/s11367-018-1556-3
Summary
Purpose
There are specific effects of emissions in high altitude, which lead to a higher contribution of
aviation to the problem of climate change than just the emission of CO2 from burning fuels.
The exact relevance is subject to scientific debate, but there is a consensus that aircrafts have
an impact that is higher than just their contribution due to the direct CO2 emissions. The gap
between this scientific knowledge on the one side and the missing of applicable GWP (global
warming potential) factors for relevant emissions on the other side is an important shortcoming
for life cycle assessment (LCA) or carbon footprint (CF) studies which aim to cover all relevant
environmental impacts of the transport services investigated.
Methods
In this paper, the state of the art concerning the accounting for the specific effects of aircraft
emissions in LCA and CF studies is discussed. Therefore, the relevant literature was evaluated,
and practitioners were asked for the approaches used by them.
Results
Five major approaches are identified ranging from an RFI (radiative forcing index) factor of 1
(no factor at all) to a factor 2.7 for the total aircraft CO2 emissions. If only emissions in the
higher atmosphere are considered, RFI factors between 1 and 8.5 are used or proposed in prac-
tice.
Conclusions
For the time being, an RFI of 2 on total aircraft CO2 (or 5.2 for the CO2 emissions in the higher
atmosphere if using present models in ecoinvent) is recommended to be used in LCA and CF
studies because it is based on the latest scientific publications; this basic literature cannot be
misinterpreted. Furthermore, it is also recommended by some political institutions. These fac-
tors can be multiplied by the direct CO2 emissions of the aircraft to estimate the total global
warming potential.
Introduction
© ESU-services Ltd. - 1 -
1 Introduction
Climate change is one of the environmental impacts addressed in nearly every life cycle assess-
ment (LCA) and it is in the focus of carbon footprinting (CF). The metrics commonly used for
the assessment is the global warming potential (GWP). This is expressed in most cases in the
unit of kilogram of carbon dioxide equivalents per functional unit (kg CO2-eq). The character-
ization factors allow assessing the relative impact of different greenhouse gases to the problem
of climate change. Different greenhouse gases such as methane (CH4) or dinitrogen monoxide
(N2O) are expressed as carbon dioxide (CO2), equivalents. Most LCA studies use the most re-
cent characterization factors published by the Intergovernmental Panel on Climate Change
(IPCC) with the reference year 2013 (IPCC 2013) or sometimes the older version with the ref-
erence year 2006 (Solomon et al. 2007).
These characterization factors did not change much in the past, based on more recent measure-
ments. The impact of such updates on calculated results was typically in the range of ± 5%.
1
Between 2013 and 2018 no indications on more relevant changes in these characterization fac-
tors were found within the LCA community.
However, there is one specific issue in this context, for which so far, no standardized method-
ology is available. There are several specific effects of emissions by aircrafts in the higher at-
mosphere which lead to a comparable higher contribution of aviation to the problem of climate
change than just the emission of CO2 (and other greenhouse gases) from burning the aviation
fuels. The following pathways are discussed (Penner et al. 2000; UBA 2012):
Nitrogen oxide (NOx) emissions leading to ozone (O3) formation and methane (CH4) deg-
radation
Stratospheric water
Contrails
Sulfate aerosols reflecting sunlight
Soot aerosols absorbing sunlight
Nevertheless, it is difficult or impossible to provide global warming potential (GWP) charac-
terization factors for the different emissions that contribute to the problem and Penner et al.
(2000) states:
“GWP has provided a convenient measure for policymakers to compare the relative climate
impacts of two different emissions. However, the basic definition of GWP has flaws that make
its use questionable, in particular, for aircraft emissions. For example, impacts such as con-
trails may not be directly related to emissions of a particular greenhouse gas. Also, indirect RF
(radiative forcing) from ozone produced by NOx emissions is not linearly proportional to the
amount of NOx emitted but depends also on location and season. Essentially, the build-up and
radiative impact of short-lived gases and aerosols will depend on the location and even the
timing of their emissions. Furthermore, the GWP does not account for an evolving atmosphere
wherein the RF from a 1-ppm increase in CO2 is larger today than in 2050 and the efficiency of
NOx at producing tropospheric O3 depends on concurrent pollution of the troposphere. In sum-
mary, GWPs were meant to compare emissions of long-lived, well-mixed gases such as CO2,
CH4, N2O, and hydrofluorocarbons (HFC) for the current atmosphere; they are not adequate
to describe the climate impacts of aviation. In view of all these problems, we will not attempt
to derive GWP indices for aircraft emissions in this study. The history of radiative forcing (Fig-
ure 1), calculated for the changing atmosphere, is a far better index of anthropogenic climate
change from different gases and aerosols than is GWP.”
1
https://www.pre-sustainability.com/news/updated-carbon-footprint-calculation-factors, 15.08.2018
Introduction
© ESU-services Ltd. - 2 -
Figure 1 Radiative forcing from aircraft movements in 2005 and quality of assessments (Lee et al.
2009)
2
The newer publications of the IPCC do not provide as much details for the contribution of
aviation anymore as shown in Figure 2.
2
https://www.icao.int/Meetings/EGAP/Presentations/E-GAP_Session%20I_David%20Fahey.Avia-
tion%20Climate.final.pdf
Introduction
© ESU-services Ltd. - 3 -
Figure 2 Radiative forcing estimates in 2011 (IPCC 2013:30)
The exact relevance of the emissions from aviation is still the subject of scientific debate. Some
of the relevant emissions have a short life time. Thus, the concept of GWP, which has been
developed for long-lived emissions, is not applicable. Calculations for the contribution of NOx
to these effects show a high variation. The effect of aircraft emissions depends also considerably
on the exact location and timing of the emission due to the nonlinear chemistry, which is an
important difference compared to the effects caused by “normal” greenhouse gases (see Solo-
mon et al. 2007, chapter 2, paragraph 2.10.3.4 for further references). Several studies have ad-
dressed the direct impact of contrails, but the indirect effect of contrails has not yet been inves-
tigated in detail (Penner et al. 2000:3.6).
Another study shows that contrail cirrus gives the largest warming contribution in the short
term but remains important at about 15% of the CO2 impact in several regions even after 100-
years. Results in this paper also illustrate both the short- and long-term impacts of CO2: while
CO2 becomes dominant on longer timescales, it also gives a notable warming contribution al-
ready 20-years after the emission (Lund et al. 2017).
On the other side, there is not much doubt that aircrafts have an impact on climate change that
is higher than just its direct contribution due to the CO2 emissions from burning the aviation
fuels (e.g., UBA 2012). Even if the effects of aviation have a short-time effect and would
Introduction
© ESU-services Ltd. - 4 -
diminish soon after stopping this technology, this does not seem to be a realistic scenario for
the time frame of decisions made today with LCA and CF studies. Furthermore, one should
consider the exponential growing importance of aviation today (Bows-Larkin et al. 2016).
3
The
authors of one article investigating these developments summarize this with the headline con-
clusion the aviation industry’s current projections of the sector’s growth are incompatible
with the international community’s commitment to avoiding the 2 ◦C characterization of dan-
gerous climate change” (Bows-Larkin et al. 2016).
The application of only the GWP for greenhouse gases thus leads to an underestimation of
radiative forcing effects caused by aircrafts. The gap between this scientific knowledge on the
one side and the missing of applicable GWP factors on the other side is an important shortcom-
ing for LCA or CF studies which aim to compare all relevant environmental impacts of transport
services.
Different publications calculate so-called radiative forcing index (RFI) factor that can be mul-
tiplied by the direct CO2 emissions from burning aviation fuels in order to account for all cli-
mate change effects of aviation. Estimations for the RFI factor are ranging from 1.9 to 5 (e.g.,
Grassl & Brockhagen 2007; IPCC 2001, 2007; Penner et al. 2000). But, so far, there is no clear
recommendation, e.g., by the IPCC on a specific RFI factor to be used as customary practice.
The RFI factor is based on the observation of the present impacts that can be attributed to the
total aircraft emissions within one reference year. It is assumed that the amount of emissions
will be in a steady state to estimate their contribution to climate change. So far, it is not related
to a specific time frame of observation while GWP can be calculated for 20-, 100- or 500-year
time horizons.
The total RF of aviation is estimated with 0.078Wm2 in 2005 and represents approximately
4.9% of total RF from all human activities (Fahey & Lee 2016).
Based on different publications, IPCC 2013 assesses the combined contrail and contrail-in-
duced cirrus effective radiative forcing for 2011 to be + 0.05 (+ 0.02 to + 0.15) W/m² take into
account uncertainties on spreading rate, optical depth, ice particle shape, and radiative transfer
and the ongoing increase in air traffic (IPCC 2013:610). A low confidence is attached to this
estimate.
Since the assessment of the IPCC for 2005, not much new insights have been gained concerning
the relevance of aviation (Fahey & Lee 2016). Thus, some researchers recommend neglecting
these effects in global assessments (e.g., Brasseur 2008:38).
It is not possible to calculate easily characterization factors for the emissions caused by aircrafts
which lead to this specific problem and thus the concept of GWP cannot be applied directly.
There is a lively debate within the scientific community if it makes sense to develop some type
of metrics for the emissions due to aviation that is comparable to the GWP used for other green-
house gases (e.g., Fuglestvedt et al. 2010). This article presents also a literature review for GWP
developed for all types of transport-related emissions.
The variability of approaches can also be found in practical applications. So far, there are many
approaches used by different carbon footprint calculators and LCA practitioners to deal with
this issue. A discussion of the approaches used in practice is the focus of this article. For un-
derstanding the different calculation practices, some key questions must be answered:
Which RFI factor is used by the practitioners in the calculation?
Is the RFI factor multiplied by the total CO2 emissions during the operation of the aircraft
or just with the part of emissions in the higher atmosphere?
3
http://data.worldbank.org and ICAO sustainability report 2016 (https://www.icao.int/environmental-
protection/Documents/ICAO%20Environmental%20Report%202016.pdf), online 11.06.2018.
Overview on approaches used in life cycle assessment and carbon footprinting
© ESU-services Ltd. - 5 -
If the latter approach is used, how has the share of emissions in the higher atmosphere been
calculated?
The focus of this paper is to evaluate the state of the art of accounting for the specific effects of
aircraft emissions in LCA and CF studies. Therefore, LCA and CF experts were asked directly
and via different email discussion lists. Furthermore, relevant literature and internet investiga-
tion have been used to find further examples on this issue. It is not an aim of this article to
provide further knowledge or insights in the complicated matter as such. But the article should
help practitioners to interpret and understand the different approaches correctly and apply them
according to the goal and scope of their studies. Therefore, recommendations are provided how
to tackle this issue in practice. A first version as a working paper has been published in 2013
(Jungbluth 2013)and was then updated and extended in view of presentations at conferences in
2018.
2 Overview on approaches used in life cycle
assessment and carbon footprinting
Five major approaches for the interpretation of available literature, which are used in practice,
have been identified during the intensive literature research over the last seven years. All ap-
proaches identified in this research are shown in Table 1. They range from an RFI factor of 1
(no factor at all) to an RFI factor 2.7 applied on all aircraft CO2 emissions.
In life cycle inventory (LCI) analysis, information about the specific amount of aircraft CO2
emissions is difficult to extract (e.g., ecoinvent Centre 2010; European Commission 2010; His-
chier et al. 2001). But, in some databases such as ecoinvent CO2 emissions in the stratosphere
are accounted for as an emission in a specific sub-compartment (Frischknecht et al. 2007a;
Spielmann et al. 2007). This does allow to assign a specific GWP characterization factor for
this sub-category of CO2 emissions in the life cycle impact assessment.
In ecoinvent data v2.2 for average passenger transports by aircraft, the share of CO2 emissions
in the lower stratosphere and upper troposphere is 23.9% of the total aircraft CO2 emissions
(corrected data
4
from Spielmann et al. 2007). Thus, it is possible to recalculate the RFI factor
for this specific share of emissions in the higher atmosphere according to the following equita-
tion (1):
𝐶𝐹 𝐶𝑂2, 𝑠𝑡𝑟𝑎𝑡𝑜𝑠𝑝ℎ𝑒𝑟𝑒 =𝑅𝐹𝐼 𝑎𝑙𝑙 (1 − 𝑆ℎ𝑎𝑟𝑒 𝐶𝑂2, 𝑠𝑡𝑟𝑎𝑡𝑜𝑠𝑝ℎ𝑒𝑟𝑒)
𝑆ℎ𝑎𝑟𝑒 𝐶𝑂2, 𝑠𝑡𝑟𝑎𝑡𝑜𝑠𝑝ℎ𝑒𝑟𝑒
(1)
where,
CF CO2,stratosphere = characterization factor for emissions of CO2 in the stratosphere
RFI all = RFI proposed for the total CO2 emissions of aircrafts
Share CO2,stratosphere = share of CO2 emissions in the stratosphere according to LCI data
The above mentioned RFI factor of 1 to 2.7 corresponds then to a characterization factor of 1
to 8.5 that can be applied on the CO2 emissions in the lower stratosphere and upper troposphere.
The column in Table 1 showing these figures is labeled as “RFI, fully on CO2, stratosphere” in
Table 1. These basic assumptions are also still valid for ecoinvent data v3.4 (ecoinvent Centre
2017):
4
An error in ecoinvent data has been discovered while elaborating this working paper and has been
corrected. The calculation of average contributions by Spielmann (2007:Table 7-7) was erroneous
and has been corrected with the shares of mode of operation provided by Spielmann (2007:Table
7-10).
Overview on approaches used in life cycle assessment and carbon footprinting
© ESU-services Ltd. - 6 -
1. The first group of approaches does not apply a specific RFI factor to aircraft CO2 emis-
sions. Thus, these approaches take a conservative interpretation of the available litera-
ture and only account for the GWP of greenhouse gases (IPCC 2007, 2013). The inter-
pretation that aircraft emissions do not have a specific higher impact is mainly made by
database developers (e.g. European Commission et al. 2011; Frischknecht et al. 2007b),
by software providers such as SimaPro (SimaPro 8.5.3), within life cycle impact assess-
ment methods (European Commission et al. 2011; Frischknecht et al. 2009; Goedkoop
& Spriensma 2000; Goedkoop et al. 2009; Huijbregts et al. 2017), and in several inter-
national standards related to LCA and carbon footprinting (e.g., Carbon Trust & DE-
FRA 2011; International Organization for Standardization (ISO) 2011; WBCSD & WRI
2011). Considering the broad range of literature confirming the surplus impacts of air-
crafts concerning climate change, these approaches are not considered to be appropriate
to be used in assessment.
2. The second group of approaches includes the GWP caused by contrails, water vapor,
and aviation-induced cirrus clouds. But, the contribution of clouds is neglected as the
estimate is considered to be too uncertain. Thus, this approach can be categorized as
minimum estimate of the possible effects (e.g., Ecoplan / Infras 2014:307; Frischknecht
et al. 2016). The approach can be used if generally a cautious perspective is taken on
uncertain environmental effects.
3. The third group of approaches applies a RFI factor of 2.7-3 only to the CO2 emissions
in the higher atmosphere (e.g., atmosfair 2008; Grießhammer & Hochfeld 2009; Knörr
2008). It seems as if it is not clear how the older IPCC publications have to be interpreted
and if the factor provided in these publications has to be applied to the total CO2 of the
aircraft or just the part in the higher atmosphere (Grassl & Brockhagen 2007; IPCC
2007; Penner et al. 2000). This approach was mainly found to be used in the German
language area. It seems to be based on a report and interpretation published by the Ger-
man Federal Environmental Agency (Mäder 2008). It is used by some companies for
calculations necessary to provide carbon offsetting for passenger flights (e.g., atmosfair
2008). As these approaches are based on partly outdated literature that is not easy to
interpret, they are not considered for providing recommendations in this article.
4. The fourth group of approaches applies a factor of 1.7 to 2 to all CO2 emissions from
aircrafts, which corresponds to a factor of about 3.9 to 5.2 for emissions in the higher
atmosphere. This approach is also used in more recent papers published in scientific
journals (Lee et al. 2009; Lee et al. 2010; Peters et al. 2011). These papers provide clear
recommendations how they applied and used the RFI factor. The Stockholm Environ-
ment Institute and the German Umweltbundesamt came also to these RFI figures based
on a more political discussion of different literature sources (Kollmuss & Crimmins
2009; UBA 2012). This RFI factor is used by at least one company providing carbon
offsetting services (myclimate 2009). A new but in the range similar calculation has
been made (Azar & Johansson 2012). They calculated emission weighting factors
(EWFs) for the CO2 from aircrafts with five different metrics (GWP, GTP, SGTP, and
two economic metrics, relative damage cost (RDC) and a cost-effective trade-off (CE-
TO)). The range found for the EWF was 1.3 to 2.9. They named 1.7 to be the best esti-
mate using the GWP metric. This group of approaches seems to be based on the most
recent literature. The range of results is confirmed by different independent researchers.
Thus, this group of approaches seems to be the most appropriate one for an estimation
of the effects.
5. The last group of approaches is based on the same original literature as the third one
(IPCC 2007), but interprets the factors 2.7 to 2.8 in a way that it has to be applied to the
total CO2 released by aircrafts (Frischknecht et al. 2007b; Gössling & Upham 2009).
This would correspond to an RFI factor of about 8.1 to 8.5 on the CO2 emissions in the
higher atmosphere. This approach is used by some companies providing carbon
Recommendations for calculating the global warming potential of aviation in LCA
© ESU-services Ltd. - 7 -
offsetting services such as Primaklima
5
and greenmiles.
6
As this seems a misinterpreta-
tion and overestimation of the effects, this group of approaches is not considered for the
recommendations in this article.
The scenarios calculated by two groups of authors (Frischknecht et al. 2007b; Peters et al. 2011)
consider also the share of different types of emissions to the total. This would allow calculating
specific GWP factors for the contribution of single air emissions as described in the beginning
of this article. Nevertheless, these GWP factors depend on the actual total amount of emissions
contributing to these pathways and thus it would be more complicated to be updated.
Another approach to tackle this problem is the characterization of emissions like water,
NMVOCs, particulates, NOx, and SOx with single characterization factors for each type of
emission. Two publications have been found that suggest such factors (Fuglestvedt et al. 2010;
Lund et al. 2017). We tried to apply these factors in our LCA software SimaPro, but different
difficulties occurred in the interpretation of the published factors (e.g., they are not provided
per kg of emission or information concerning the share of emissions in higher and lower atmos-
phere were missing). Both approaches also still applied an additional RFI factor on the CO2.
Results of this calculation seem to be lower than the RFI factor recommended by us by a factor
of 5, but due to the uncertainty of the interpretation we refrain from publishing these results
here.
Due to these uncertainties, an approach to apply characterization factors on different single
emissions is thus not further followed up in this article because of the high uncertainties while
interpreting the available literature.
3 Recommendations for calculating the global
warming potential of aviation in LCA
This paper cannot solve all the scientific issues and difficulties behind calculating RFI or GWP
of aircraft emissions. Nevertheless, it seems to be necessary to better harmonize the approaches
used in LCA and CF calculations and to provide better guidance on this issue. In the moment,
different approaches come to quite different results and thus have an enormous influence on the
outcome of studies where emissions from aircrafts play a significant role.
Different approaches have been evaluated in depth in the previous chapter. The influence on
the results has been highlighted in Table 1 (supplementary material). Currently, a characteriza-
tion factor (CF) of 2 kg CO2-eq per total direct aircraft CO2 emissions (or 5.2 for the emissions
in the higher atmosphere if using ecoinvent v2.2, ecoinvent v3.4, or ESU 2018 data) is seen as
the most convincing approach for the following reasons. It is based on the different approaches
used in scientific publications (Azar & Johansson 2012; Lee et al. 2009; Lee et al. 2010; Peters
et al. 2011). This basic scientific literature cannot be misinterpreted (as it is the case for the
third and fifth group of approaches). The proposal does not neglect the proofed additional ef-
fects of aviation. It is based on a reasonable guess of the average effects in contrast to the second
approach which only makes a minimum assumption. Furthermore, it is also recommended by
some political institutions (Kollmuss & Crimmins 2009; UBA 2012).
It is recommended to apply the factor if possible in the LCA calculation tool only on the emis-
sions in the higher atmosphere because this allows for a better differentiation between short-
and long-distance flights. Based on the evaluations of the state of the art in this article, it is
recommended using this factor for the time being.
While using other databases, the average share of emissions in higher atmosphere must be con-
sidered in the calculations and the characterization factor for CO2 emission in the higher
5
www.prima-klima-weltweit.de
6
www.greenmiles.de
Results
© ESU-services Ltd. - 8 -
atmosphere can be calculated accordingly according to equation (1). For the applications with
ecoinvent data a characterisation factor of 5.2 is calculated in equation (2):
5.2 = 2 − (1 − 23.9%)
23.9%
(2)
A CSV file with an LCIA method for SimaPro is provided as supplementary material for this
article.
Depending on the goal and scope of their study, LCA practitioners might also apply other ap-
proaches as described in the previous chapter. This article can then help to provide arguments
in view of such a choice.
4 Results
Figure 3 shows the implications of this recommendation for the calculation of the GWP with a
100-year time horizon according to IPCC (2013) and expressed in carbon dioxide equivalents
(CO2-eq). Without applying an RFI factor, long- and short-distance flights show a carbon foot-
print between 118 and 230 g of CO2-eq per passenger-kilometer, respectively. Including addi-
tional impacts in the higher atmosphere rises this to 230 to 340 g of CO2-eq. Taking the RFI
factor into account, flying is clearly worse from a global warming point of view than other
means of passenger transportation compared in Figure 3. Without the application of an RFI
factor, short-distance flights would have about the same emissions as average passenger cars.
It must be noted that for a full environmental picture and comparison of different means of
transport, also other environmental indicators must be considered in an LCA. Thus, this figure
should only be read as an example regarding the influence of the impact assessment for the
global warming indicator, but not as a general statement regarding the pros and cons of different
transport devices.
Figure 3 Global warming potential 2013 of different means of passenger transports based on ESU
database 2018 (ESU 2018; LC-inventories 2018; Spielmann et al. 2007) considering the
recommended RFI factor of 5.2 for emissions in the higher atmosphere. RER European
average, CH Switzerland, DE Germany, FR France, IT - Italy
Outlook
© ESU-services Ltd. - 9 -
The results presented in this figure can also be directly compared with the results for an average
airplane calculated with all approaches investigated in this paper as shown in Table 1.
5 Outlook
This recommendation should be revised as soon as the IPCC provides clear recommendations
on this issue or if new scientific results are published leading to different conclusions.
This is an ongoing debate. Thus, comments by the LCA and CF community to this paper and
its usefulness are highly welcome.
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7 Annexe
Annexe
© ESU-services Ltd. - 12 -
Table 1 Overview on approaches used for the calculation of greenhouse gas emissions related to aviation. If not provided in the publication, the “RFI, fully on CO2,
stratosphere” has been calculated based on the share of this type of emissions in ESU database 2018.
Group
Application
RFI, CO2
stratosphere
RFI, other
airplane
CO2
RFI, fully on
CO2, strato-
sphere
calculated
GWP per
pkm
Interpretation
Scientific background paper
1
Ecoinvent
1
1
1.0
0.168
Frischknecht et al. 2007b
IPCC 2007
SimaPro
1
1
1.0
0.168
SimaPro 8.5.3
IPCC 2007
PAS 2050:2011
1
1
1.0
0.168
Separate reporting of aircraft CO2 is
necessary
Carbon Trust & DEFRA 2011
ISO/CD 14067.3:2011
1
1
1.0
0.168
CO2 from aircrafts should be reported
separately, no recommendation for
assessment
International Organization for
Standardization (ISO) 2011
Product Accounting & Reporting
Standard
?
?
?
?
For air travel emission factors, multi-
pliers or other corrections to account
for radiative forcing may be applied to
the GWP of emissions arising from
aircraft transport. If applied compa-
nies should disclose the specific fac-
tor used.
WBCSD & WRI 2011
ILCD Handbook
1
1
1.0
0.168
Not mentioned as a specific issue
Hauschild et al. 2011
2
Frischknecht et al. 2016
http://www.lcaforum.ch/por-
tals/0/df66/DF66-
02_Frischknecht.pdf
1.35
1.35
1.50
0.210
Additional GWP caused by contrails,
water vapor and aviation induced cir-
rus clouds. Contribution of clouds ne-
glected as to uncertain, 70% of CO2
in stratosphere
Ecoplan / Infras 2014:307, Lee et
al. 2010
Forster et al. 2006, 2007, without
cirrus
1.2
1.2
1.8
0.192
Gössling & Upham 2009
Cited as Forster et al. (2006,
2007), http://www.sciencedi-
rect.com/science/arti-
cle/pii/S1352231005010587$
3
PCF - Germany
2.7
1
2.7
0.216
Grießhammer & Hochfeld 2009
IPCC 2007; Penner et al. 2000
Atmosfair
3
1
3.0
0.225
atmosfair 2008
Grassl & Brockhagen 2007 based
on IPCC 2007
EcoPassenger
3
1
3.0
0.225
Based on (atmosfair 2008), calculated
range of total RFI of 1.27 to 2.5 based
on travel distances.
Knörr 2008
Annexe
© ESU-services Ltd. - 13 -
Group
Application
RFI, CO2
stratosphere
RFI, other
airplane
CO2
RFI, fully on
CO2, strato-
sphere
calculated
GWP per
pkm
Interpretation
Scientific background paper
CO2OL, www.co2ol.de
1.27-2.7
1.27-2.7
3.0
0.225
Depending on travel distance. Own
assumption based on (Grießhammer
& Hochfeld 2009; Knörr 2008).
Knörr 2008
ESU-services, scenario, 2010
2.99
1
3.0
0.224
geometric mean of RFI 1.9 to 4.7, at-
mosfair concerning application only to
CO2, stratosphere
Grassl & Brockhagen 2007 based
on IPCC 2007
4
Stockholm Environment Institute
2
2
5.2
0.286
Kollmuss & Crimmins 2009
IPCC 2007
myclimate
2
2
5.2
0.286
myclimate 2009
Kollmuss & Crimmins 2009
Lee et al. 2009
2
2
5.2
0.286
N. Jungbluth
Lee et al. 2009; Lee et al. 2010
Klima-Allianz Schweiz
2
2
5.2
0.286
Klima-Allianz Schweiz 2016
Lee et al. 2009; Lee et al. 2010
Peters et al. 2011
1.9
1.9
4.9
0.280
N. Jungbluth, Soli: I think, but don’t re-
member 100% sure, that the share of
air emissions occurring in higher alti-
tudes were adapted by the cicero
people to reflect the aviation industry
average, but that the fuel use data
from the air process given in the re-
port, were used.
Peters et al. 2011
Azar 2012
1.7
1.7
3.9
0.251
This study
2
2
5.2
0.287
Recommendation for best-practice
This paper
5
Forster et al. 2006, 2007, with
max. cirrus
2.8
2.8
8.5
0.381
Gössling & Upham 2009
Cited as Forster et al. (2006, 2007)
ecoinvent, scenario
2.72
2.72
8.2
0.372
Frischknecht et al. 2007b
IPCC 2007
Primaklima
2.7
2.7
8.1
0.369
http://www.prima-klima-welt-
weit.de/co2/kompens-berechnen.php
IPCC 2007
greenmiles
2.7
2.7
8.1
0.369
Personal communication with Dr.
Sven Bode (Greenmiles GmbH)
IPCC 2007
... However, even the 450 lower-bound estimate of net forcing is 50% greater than CO2 effects alone (figure 5). Each carbon footprint calculator may approach this differently, but consensus is moving towards approximating net forcing as double the isolated CO2 effects (37). In this case, we have chosen to exclude them from the main calculator, but recommend users at least double the amount of carbon offsets they purchase to account for indirect effects of aviation. ...
Preprint
Addressing the large carbon footprint of conferences such as the UN Climate Change Convention Conference of the Parties (COP) will be important for maintaining public confidence in climate policy. Transparency is also a vital aspect of creating equitable outcomes in climate policies, as those most likely to be affected or who can create change on the ground are often unable to attend in person because of the high financial costs as well as having a large carbon footprint. The selection of host locations for the regular meetings of the UN Climate Change Convention is based on a rotation amongst the five UN regions, which for 2022 is Africa. Here, we present a carbon footprint calculator for travel to COP 27 in Sharm El-Sheikh, Egypt, weighing the benefits of certain routes and modes of transport. The calculator demonstrates the well-known carbon-efficiency of coach and rail over flights but shows that these benefits are partly diminished in the case of COP 27 due to insufficient transport links from Europe to the conference location. However, we also highlight some of the benefits of hosting a COP in the global South, particularly in the context of climate justice. Users of the calculator are invited to consider all their options for travel and acknowledge the issue of climate justice through careful selection of carbon offsets.
... Huomionarvoista on, että tässä tutkimuksessa lentoliikenteen päästöjä arvioitaessa ei ole huomioitu säteilypakotevaikutusta, eli sitä että yläilmakehän päästöillä on suurempi lämmittävä vaikutus. Suuruusluokaksi on esitetty, että vaikutuksen huomioimiseksi lentoliikenteen päästöt olisi kerrottava kahdella (Jungbluth & Meili, 2018). ...
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Greenhouse gas emissions reduction is a critical topic in the scientific community, as researchers strive to produce knowledge for the betterment of society. However, it is important to acknowledge that researchers themselves engage in activities that have a significant environmental impact. Group meetings and conferences are under the spot due to their extensive contribution to emissions through travel, catering, hosting, and other event-related activities. To address this issue, our work aims to conduct an environmental diagnosis of an ongoing H2020 European project, focusing on the impacts associated with the periodical group meetings organized in each country involved. We also sought to evaluate researchers’ stance on online meetings and collected environmental and personal opinions through dedicated online forms. Results show that while travel is the primary contributor to emissions, catering, meeting structures, and hosting support should not be overlooked. Conference location and availability of public transportation also play a crucial role in the final impact of the event, as they affect directly the 87% share of emissions due to travels. Besides, using local distributors and reducing hotel stays (representing about 5% of the final impact) may reduce the potential environmental burden of these events. On the other side, besides the obtained positive feedback from online meetings, in-person activities are still more effective for reinforcing human bonds and collaborations.
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Addressing the large carbon footprint of conferences such as the United Nations Climate Change Convention Conference of the Parties (COP) will be important for maintaining public confidence in climate policy. Transparency is also a vital aspect of creating equitable outcomes in climate policies, as those most likely to be affected or who can create change on the ground are often unable to attend in person because of the high financial costs as well as having a large carbon footprint. The selection of host locations for the regular meetings of the UN Climate Change Convention is based on a rotation amongst the five UN regions, which for 2022 was Africa. Here, we present a carbon footprint calculator for travel to COP 27 in Sharm El-Sheikh, Egypt, weighing the benefits of certain routes and modes of transport. The calculator demonstrates the well-known carbon efficiency of coach and rail over flights but shows that these benefits were partly diminished in the case of COP 27 due to insufficient transport links from Europe to the conference location. However, we also highlight some of the benefits of hosting a COP in the Global South, particularly in the context of climate justice. Users of the calculator are invited to consider all their options for travel and acknowledge the issue of climate justice through careful selection of carbon offsets.
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The annual Society for Neuroscience (SfN) meeting yields significant, measurable impacts that conflict with the environmental commitment of the Society and the Intergovernmental Panel on Climate Change (IPCC) recommendations to address the climate emergency (IPCC, 2018). We used 12,761 presenters’ origins, two online carbon calculators, and benchmark values to estimate 2018 meeting-related travel, event venue operations, and hotel accommodation emissions. Presenters’ conference travel resulted in between 17,298 and 8690 tons of atmospheric carbon dioxide (t CO 2 ), with or without radiative forcing index factors. Over 92% of authors traveled by air and were responsible for >99% of total travel-related emissions. Extrapolations based on 28,691 registrants yielded between 69,592.60 metric tons of carbon dioxide equivalents (t CO 2 e) and 38,010.85 t CO 2 from travel. Comparatively, authors’ and registrants’ hotel accommodation emissions equaled 429 and 965 t CO 2 e, whereas operation of the San Diego Convention Center equaled ∼107 t CO 2 e. We relate SfN meeting-related emissions to potential September Arctic Sea ice loss, labor productivity loss in lower-income equatorial countries, and future temperature-related deaths. We estimate emissions reductions of between 23% and 78% by incentivizing between 10% and 50% of the most distant registrants to attend virtually or connecting between two and seven in-person hubs virtually. Completely virtual meetings may yield a reduction of >99% relative to centralized in-person meetings and increase participation of women, queer and transgender scientists, and scientists from low- and middle-income countries. We strongly recommend adopting alternative meeting modes such as four or more in-person global hubs connected virtually by 2030 and fully virtual by 2050.
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Importance: Greenhouse gas emissions associated with medical conferences have been associated with climate change, and the effects of climate change have been associated with an increased incidence of ophthalmic diseases. Identifying practical strategies associated with reducing these emissions may be warranted. Objective: To assess greenhouse gas emissions associated with in-person and virtual meetings of the American Academy of Ophthalmology (AAO) and to conduct mitigation analyses to suggest strategies to reduce future emissions. Design, setting, and participants: Quality improvement study in which attendee and conference data were used to estimate emissions from in-person (October 12 to October 15, 2019, San Francisco, California) and virtual (November 13 to November 15, 2020) AAO annual meetings for 35 104 attendees. The data were also used to perform mitigation analyses to assess whether meeting format alterations could be used to reduce future emissions. Data were analyzed from December 21, 2021, to April 18, 2022. Exposures: Attendance at a selected meeting. Total attendance was 23 190 participants in 2019 and 11 914 participants in 2020. Main outcomes and measures: Greenhouse gas emissions produced by the in-person meeting were estimated by calculating the equivalent metric tons of carbon dioxide (CO2) associated with attendee transportation, attendee accommodations, and the conference venue. Emissions produced by the virtual meeting were estimated by calculating the equivalent metric tons of CO2 associated with attendees' computer use, network data transfer, and video-conferencing server use. Mitigation analyses simulated the association of changing the meeting location and format with reductions in emissions. Results: In this analysis, the 2019 in-person meeting produced 39 910 metric tons of CO2 (1.73 metric tons of CO2 per capita), and the 2020 virtual meeting produced 38.6 metric tons of CO2 (0.003 metric tons of CO2 per capita). Mitigation analyses showed that holding a single in-person meeting in Chicago, Illinois, rather than San Francisco, California, could be associated with transportation-related emissions reductions of 19% (emissions for the San Francisco meeting, 38 993 metric tons of CO2; for the Chicago meeting, 31 616 metric tons of CO2). Holding multiple in-person meetings in separate regions could be associated with transportation-related emissions reductions of as much as 38% (emissions for the San Francisco meeting, 38 993 metric tons of CO2; for multiple meeting scenario 2, 24 165 metric tons of CO2). Conclusions and relevance: This study found that the AAO's 2019 in-person meeting was associated with substantially higher greenhouse gas emissions compared with the 2020 virtual meeting, primarily due to transportation-related emissions. Increasing the proportion of virtual participants, holding the meeting in locations chosen to minimize transportation-related emissions, or offering multiple regional meeting locations may reduce the carbon footprint of future meetings.
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Background: Professional society conferences are integral to the medical profession. However, airline travel is a major contributor to greenhouse gas production, and the environmental impact of in-person attendance at an orthopaedic conference has yet to be described. With growing concern about the climate crisis, we sought to quantify the carbon footprint of in-person attendance to help potential attendees more consciously consider in-person attendance, inform strategies to minimize greenhouse gas emissions during travel to annual meetings, and increase awareness about and momentum for efforts in orthopaedic surgery to reduce the carbon footprint of society conferences. Questions/purposes: (1) What was the magnitude of greenhouse gas production resulting from all-in-person 2019 American Orthopaedic Foot and Ankle Society (AOFAS) annual meeting attendance in Chicago, IL, USA? (2) What was the magnitude of greenhouse gas production resulting from the all-virtual 2020 AOFAS annual meeting, and how does it compare with the 2019 AOFAS annual meeting carbon footprint? (3) To what extent could an alternative in-person meeting model with four or seven hubs decrease greenhouse gas production resulting from round-trip air travel compared with the 2019 AOFAS annual meeting? Methods: A list of the postal codes and countries of all 1271 registered participants attending the four-day 2019 AOFAS annual meeting in Chicago, IL, USA, was obtained from AOFAS headquarters. The 2019 conference was chosen because it was the last pre-COVID meeting and thus attendance was more likely to resemble that at prepandemic in-person conferences than more recent meetings because of pandemic travel restrictions. We estimated carbon dioxide-equivalent (CO2e) production from round-trip air travel using a publicly available internet-based calculator (Myclimate: https://co2.myclimate.org/en/flight_calculators/new). Emissions produced by the conference venue, car travel, and hotel stays were estimated using published Environmental Protection Agency emission factors. To estimate emissions produced by the all-virtual 2020 AOFAS annual meeting (assuming an equal number of attendees as in 2019), we used the framework published by Faber and summed estimated network data transfer emissions, personal computer and monitor emissions, and server-related emissions. Using the 2019 registrant list, we modeled four-hub and seven-hub in-person meeting alternatives to determine potential decreased round-trip air travel greenhouse gas production. Meeting hub locations were selected by visualizing the geographic distribution of the 2019 registrants and selecting reasonable meeting locations that would minimize air travel for the greatest number of attendees. Registrants were assigned to the nearest hub location. Myclimate was again used to estimate CO2e production for round-trip air travel for the hub meeting models. Results: The total estimated emissions of the all-in-person 2019 AOFAS annual meeting (when accounting for travel, conference space, and hotel stays) was 1565 tons CO2e (median 0.61 tons per attendee, range 0.02 to 7.7 tons). The total estimated emissions of the all-virtual 2020 meeting (when accounting for network data transfer emissions, personal computer and monitor emissions, and server-related emissions) was 34 tons CO2e (median 0.03 tons per attendee). This corresponds to a 97.8% decrease in CO2e emissions compared with the in-person conference. The model of a four-hub in-person meeting alternative with meetings in Chicago; Santiago, London, and Tokyo predicted an estimated 54% decrease in CO2e emissions from round-trip air travel. The seven-hub meeting model with meetings in Chicago, Washington, DC; Dallas; Los Angeles; Santiago; London; and Tokyo was predicted to diminish the CO2e emissions of round-trip air travel by an estimated 71%. Conclusion: The 2019 AOFAS annual meeting had an enormous carbon footprint and resulted in many individuals exceeding their annual allotted carbon budget (2.5 tons) according to the Paris Agreement. Hosting the meeting virtually greatly reduced the annual meeting carbon footprint, and our hub-based meeting models identified potential in-person alternatives for reducing the carbon footprint of conference attendance. Clinical relevance: Professional societies must consider our responsibility to decarbonizing the healthcare sector by considering innovative approaches-perhaps such as our multihub proposals-to decarbonize carbon-intensive annual meetings without stalling academic progress.
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This study examines the impacts of emissions from aviation in six source regions on global and regional temperatures. We consider the NOx-induced impacts on ozone and methane, aerosols and contrail-cirrus formation and calculate the global and regional emission metrics global warming potential (GWP), global temperature change potential (GTP) and absolute regional temperature change potential (ARTP). The GWPs and GTPs vary by a factor of 2–4 between source regions. We find the highest aviation aerosol metric values for South Asian emissions, while contrail-cirrus metrics are higher for Europe and North America, where contrail formation is prevalent, and South America plus Africa, where the optical depth is large once contrails form. The ARTP illustrate important differences in the latitudinal patterns of radiative forcing (RF) and temperature response: the temperature response in a given latitude band can be considerably stronger than suggested by the RF in that band, also emphasizing the importance of large-scale circulation impacts. To place our metrics in context, we quantify temperature change in four broad latitude bands following 1 year of emissions from present-day aviation, including CO2. Aviation over North America and Europe causes the largest net warming impact in all latitude bands, reflecting the higher air traffic activity in these regions. Contrail cirrus gives the largest warming contribution in the short term, but remain important at about 15 % of the CO2 impact in several regions even after 100 years. Our results also illustrate both the short- and long-term impacts of CO2: while CO2 becomes dominant on longer timescales, it also gives a notable warming contribution already 20 years after the emission. Our emission metrics can be further used to estimate regional temperature change under alternative aviation emission scenarios. A first evaluation of the ARTP in the context of aviation suggests that further work to account for vertical sensitivities in the relationship between RF and temperature response would be valuable for further use of the concept.
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PurposeLife cycle impact assessment (LCIA) translates emissions and resource extractions into a limited number of environmental impact scores by means of so-called characterisation factors. There are two mainstream ways to derive characterisation factors, i.e. at midpoint level and at endpoint level. To further progress LCIA method development, we updated the ReCiPe2008 method to its version of 2016. This paper provides an overview of the key elements of the ReCiPe2016 method. Methods We implemented human health, ecosystem quality and resource scarcity as three areas of protection. Endpoint characterisation factors, directly related to the areas of protection, were derived from midpoint characterisation factors with a constant mid-to-endpoint factor per impact category. We included 17 midpoint impact categories. Results and discussionThe update of ReCiPe provides characterisation factors that are representative for the global scale instead of the European scale, while maintaining the possibility for a number of impact categories to implement characterisation factors at a country and continental scale. We also expanded the number of environmental interventions and added impacts of water use on human health, impacts of water use and climate change on freshwater ecosystems and impacts of water use and tropospheric ozone formation on terrestrial ecosystems as novel damage pathways. Although significant effort has been put into the update of ReCiPe, there is still major improvement potential in the way impact pathways are modelled. Further improvements relate to a regionalisation of more impact categories, moving from local to global species extinction and adding more impact pathways. Conclusions Life cycle impact assessment is a fast evolving field of research. ReCiPe2016 provides a state-of-the-art method to convert life cycle inventories to a limited number of life cycle impact scores on midpoint and endpoint level.
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The latest scientific framing of climate change emphasizes the importance of limiting cumulative emissions and the need to urgently cut CO2. International agreements on avoiding a 2 °C global temperature rise make clear the scale of CO2 reductions required across all sectors. Set against a context of urgent mitigation, the outlook for aviation's emissions is one of continued growth. Limited opportunities to further improve fuel efficiency, slow uptake of new innovations, coupled with anticipated rises in demand across continents collectively present a huge challenge to aviation in cutting emissions. While difficulties in decarbonizing aviation are recognized by industry and policymakers alike, the gap between what's necessary to avoid 2 °C and aviation's CO2 projections has profound implications. Biofuel is one of the few innovations that could play a significant role in closing the gap, but with low anticipated penetration before 2020 its contribution would have little impact over the desired timeframe. If the aviation sector does not urgently address rising emissions, there is an increasing risk that investment in new aircraft and infrastructure could lead to stranded assets. This leaves it facing an uncomfortable reality. Either the sector acts urgently on climate change and curtails rising demand, or it will be failing to take responsibility for a considerable and growing portion of climate change impacts.