scholarly journals Carbon dioxide and climate impulse response functions for the computation of greenhouse gas metrics: a multi-model analysis

2012 ◽  
Vol 12 (8) ◽  
pp. 19799-19869 ◽  
Author(s):  
F. Joos ◽  
R. Roth ◽  
J. S. Fuglestvedt ◽  
G. P. Peters ◽  
I. G. Enting ◽  
...  

Abstract. The responses of carbon dioxide (CO2) and other climate variables to an emission pulse of CO2 into the atmosphere are often used to compute the Global Warming Potential (GWP) and Global Temperature change Potential (GTP), to characterize the response time scales of Earth System models, and to build reduced-form models. In this carbon cycle-climate model intercomparison project, which spans the full model hierarchy, we quantify responses to emission pulses of different magnitudes injected under different conditions. The CO2 response shows the known rapid decline in the first few decades followed by a millennium-scale tail. For a 100 Gt C emission pulse, 24 ± 10% is still found in the atmosphere after 1000 yr; the ocean has absorbed 60 ± 18% and the land the remainder. The response in global mean surface air temperature is an increase by 0.19 ± 0.10 °C within the first twenty years; thereafter and until year 1000, temperature decreases only slightly, whereas ocean heat content and sea level continue to rise. Our best estimate for the Absolute Global Warming Potential, given by the time-integrated response in CO2 at year 100 times its radiative efficiency, is 92.7 × 10−15 yr W m−2 per kg CO2. This value very likely (5 to 95% confidence) lies within the range of (70 to 115) × 10−15 yr W m−2 per kg CO2. Estimates for time-integrated response in CO2 published in the IPCC First, Second, and Fourth Assessment and our multi-model best estimate all agree within 15%. The integrated CO2 response is lower for pre-industrial conditions, compared to present day, and lower for smaller pulses than larger pulses. In contrast, the response in temperature, sea level and ocean heat content is less sensitive to these choices. Although, choices in pulse size, background concentration, and model lead to uncertainties, the most important and subjective choice to determine AGWP of CO2 and GWP is the time horizon.

2013 ◽  
Vol 13 (5) ◽  
pp. 2793-2825 ◽  
Author(s):  
F. Joos ◽  
R. Roth ◽  
J. S. Fuglestvedt ◽  
G. P. Peters ◽  
I. G. Enting ◽  
...  

Abstract. The responses of carbon dioxide (CO2) and other climate variables to an emission pulse of CO2 into the atmosphere are often used to compute the Global Warming Potential (GWP) and Global Temperature change Potential (GTP), to characterize the response timescales of Earth System models, and to build reduced-form models. In this carbon cycle-climate model intercomparison project, which spans the full model hierarchy, we quantify responses to emission pulses of different magnitudes injected under different conditions. The CO2 response shows the known rapid decline in the first few decades followed by a millennium-scale tail. For a 100 Gt-C emission pulse added to a constant CO2 concentration of 389 ppm, 25 ± 9% is still found in the atmosphere after 1000 yr; the ocean has absorbed 59 ± 12% and the land the remainder (16 ± 14%). The response in global mean surface air temperature is an increase by 0.20 ± 0.12 °C within the first twenty years; thereafter and until year 1000, temperature decreases only slightly, whereas ocean heat content and sea level continue to rise. Our best estimate for the Absolute Global Warming Potential, given by the time-integrated response in CO2 at year 100 multiplied by its radiative efficiency, is 92.5 × 10−15 yr W m−2 per kg-CO2. This value very likely (5 to 95% confidence) lies within the range of (68 to 117) × 10−15 yr W m−2 per kg-CO2. Estimates for time-integrated response in CO2 published in the IPCC First, Second, and Fourth Assessment and our multi-model best estimate all agree within 15% during the first 100 yr. The integrated CO2 response, normalized by the pulse size, is lower for pre-industrial conditions, compared to present day, and lower for smaller pulses than larger pulses. In contrast, the response in temperature, sea level and ocean heat content is less sensitive to these choices. Although, choices in pulse size, background concentration, and model lead to uncertainties, the most important and subjective choice to determine AGWP of CO2 and GWP is the time horizon.


2020 ◽  
Author(s):  
Alexander Todd ◽  
Laure Zanna ◽  
Matthew Couldrey ◽  
Jonathan M. Gregory ◽  
Quran Wu ◽  
...  

2021 ◽  
Author(s):  
William Llovel ◽  
Nicolas Kolodziejczyk ◽  
Thierry Penduff ◽  
Jean-Marc Molines ◽  
Sally Close

<p>Ocean warming accounts for more than 90% of the net Earth energy imbalance. As oceans warm, sea level is rising due to the expansion of seawater. Therefore, estimating ocean heat content (OHC) and thermosteric sea level (TSL) appears of great importance to assess the impact of the on-going global warming.  Different research groups have estimated such climate variables for years now and even routinely (Boyer et al., 2016). These climate variables are derived from in situ temperature measurement at different depths with uneven spatial coverage. Two main sources of uncertainties are attributed to the evolving technology of temperature probes and to the uneven spatio-temporal distribution of in situ measurements (Boyer et al., 2016). A large ensemble of forced eddy-permitting ocean simulations revealed the existence of another uncertainty of regional OHC trend estimates (Sérazin et al 2017): a substantial intrinsic variability emerging from oceanic nonlinearities generates random multi decadal trends, which can mask its atmospherically-forced counterpart. This intrinsic variability can also leave a large imprint on regional sea level trends over the altimetry period (Llovel et al., 2018; Penduff et al., 2019). Less attention has been paid for estimating the imprint of such intrinsic ocean variability in OHC and TSL change associated with the uneven spatial coverage of in situ records. In this study, we investigate the imprint of ocean intrinsic variability and of the uneven distribution of in situ records on OHC and TLS change, by taking advantage of this large ensemble simulation. To do so, we extract synthetic in situ temperature profiles from the simulations in space, time and depth. We then interpolate these synthetic profiles using ISAS (Gaillard et al. 2016) to estimate both the imprint of intrinsic ocean variability and the uneven distribution of in situ data to OHC change and TSL change from 2005 to 2015.</p>


2015 ◽  
Vol 120 (8) ◽  
pp. 5749-5765 ◽  
Author(s):  
Oleg A. Saenko ◽  
Duo Yang ◽  
Jonathan M. Gregory ◽  
Paul Spence ◽  
Paul G. Myers

RSC Advances ◽  
2016 ◽  
Vol 6 (45) ◽  
pp. 39492-39499 ◽  
Author(s):  
Debjyoti Ray ◽  
Ch. Subrahmanyam

Carbon dioxide (CO2) decomposition has drawn significant interest over the years due to its global warming potential.


2018 ◽  
Vol 2018 ◽  
pp. 1-16 ◽  
Author(s):  
Kalyan Annamalai ◽  
Siva Sankar Thanapal ◽  
Devesh Ranjan

Carbon dioxide (CO2) is one of the greenhouse gases which cause global warming. The amount of fossil fuels consumed to meet the demands in the areas of power and transportation is projected to increase in the upcoming years. Depending on carbon content, each power plant fuel has its own potential to produce carbon dioxide. Similarly, the humans consume food containing carbohydrates (CH), fat, and protein which emit CO2 due to metabolism. The biology literature uses respiratory quotient (RQ), defined as the ratio of CO2 moles exhausted per mole of O2 consumed within the body, to estimate CO2 loading in the blood stream and CO2 in nasal exhaust. Here, we apply that principle in the field of combustion to relate the RQ to CO2 emitted in tons per GJ of energy released when a fuel is combusted. The RQ value of a fuel can be determined either from fuel chemical formulae (from ultimate analyses for most liquid and solid fuels of known composition) or from exhaust gas analyses. RQ ranges from 0.5 for methane (CH4) to 1 for pure carbon. Based on the results obtained, the lesser the value of “RQ” of a fuel, the lower its global warming potential. This methodology can be further extended for an “online instantaneous measurement of CO2” in automobiles based on actual fuel use irrespective of fuel composition.


2021 ◽  
Vol 2069 (1) ◽  
pp. 012232
Author(s):  
Sarah M. Engel ◽  
Manuela Walsdorf-Maul ◽  
Michael Schneider

Abstract The construction industry has a major influence on man-made carbon dioxide emissions. Being sustainable also means reducing or neutralizing our carbon dioxide pollution in the future. This research and the corresponding work are therefore guided by the following question: Is it possible and useful to conduct life cycle assessments and at the same time analyze the environmental impact of the construction sector? In the context of this work, a life cycle assessment of a building is performed using the example of a hotel building. All construction elements of the thermal envelope are examined from an environmental point of view by considering the global warming potential of each part of the construction. The aim of the study is to draw conclusions about the parameters that are decisive for the construction of a hotel building from an ecological standpoint in the production phase. Based on the results of the study, we want to drive the development of a “future” energy performance certificate forward that graphically illustrates the evaluation of buildings under both aspects - energy efficiency (final energy) and sustainability (GWP - global warming potential).


Sign in / Sign up

Export Citation Format

Share Document