Xi Luo , Tian Xia , Jing Huang , Dongliang Xiong , Bradley Ridoutt
{"title":"农业部门的辐射强迫气候足迹:IPCC第五次和第六次评估报告模式的比较","authors":"Xi Luo , Tian Xia , Jing Huang , Dongliang Xiong , Bradley Ridoutt","doi":"10.1016/j.farsys.2023.100057","DOIUrl":null,"url":null,"abstract":"<div><p>To achieve the goal in the Paris Agreement of limiting mean global temperature rise to 1.5 °C, total anthropogenic radiative forcing (RF) should be reduced from current 2.7 to around 1.9 W m<sup>−2</sup>. A newly developed RF-based climate footprint (RFCF) indicator, which quantifies the additional contribution to RF associated with current and historical emissions, can support transparent alignment with climate stabilization targets by assessing the profile of RF over time. Nevertheless, RFCF applications to date have been based on parameters and equations from IPCC 5<sup>th</sup> Assessment Report (AR). Considering the latest updates in the IPCC 6<sup>th</sup> AR, we applied the RFCF approach for the first time in a case study involving the Australian agricultural sector. We compared the RF, RFCF and annual changes in RFCF of CH<sub>4</sub>, N<sub>2</sub>O and CO<sub>2</sub> using both models. All the results of RF as well as RFCF calculated using the latest model were slightly lower than those obtained using the former model. The agricultural sector's contribution to RF had plateaued in recent years and is projected to reach the point of net zero increase in 2022 (IPCC 6<sup>th</sup> AR model) or 2023 (IPCC 5<sup>th</sup> AR model). Considering the latest updates in emission lifetime, radiative efficiency and indirect effects based on the background concentration (1750–2019), the assessments based on IPCC 6<sup>th</sup> AR model provide more reliable results. However, a dynamic model is required to reflect the additional RF for the pulse emission based on the relevant climate background in the same year. The RF-based footprint approach can support national greenhouse gas emission reduction policy targets, especially for sectors with substantial biogenic methane emissions.</p></div>","PeriodicalId":100522,"journal":{"name":"Farming System","volume":"1 3","pages":"Article 100057"},"PeriodicalIF":0.0000,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S294991192300059X/pdfft?md5=3f5dfd9c17497c2a34ac6093536a8fa4&pid=1-s2.0-S294991192300059X-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Radiative forcing climate footprints in the agricultural sector: Comparison of models from the IPCC 5th and 6th Assessment Reports\",\"authors\":\"Xi Luo , Tian Xia , Jing Huang , Dongliang Xiong , Bradley Ridoutt\",\"doi\":\"10.1016/j.farsys.2023.100057\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>To achieve the goal in the Paris Agreement of limiting mean global temperature rise to 1.5 °C, total anthropogenic radiative forcing (RF) should be reduced from current 2.7 to around 1.9 W m<sup>−2</sup>. A newly developed RF-based climate footprint (RFCF) indicator, which quantifies the additional contribution to RF associated with current and historical emissions, can support transparent alignment with climate stabilization targets by assessing the profile of RF over time. Nevertheless, RFCF applications to date have been based on parameters and equations from IPCC 5<sup>th</sup> Assessment Report (AR). Considering the latest updates in the IPCC 6<sup>th</sup> AR, we applied the RFCF approach for the first time in a case study involving the Australian agricultural sector. We compared the RF, RFCF and annual changes in RFCF of CH<sub>4</sub>, N<sub>2</sub>O and CO<sub>2</sub> using both models. All the results of RF as well as RFCF calculated using the latest model were slightly lower than those obtained using the former model. The agricultural sector's contribution to RF had plateaued in recent years and is projected to reach the point of net zero increase in 2022 (IPCC 6<sup>th</sup> AR model) or 2023 (IPCC 5<sup>th</sup> AR model). Considering the latest updates in emission lifetime, radiative efficiency and indirect effects based on the background concentration (1750–2019), the assessments based on IPCC 6<sup>th</sup> AR model provide more reliable results. However, a dynamic model is required to reflect the additional RF for the pulse emission based on the relevant climate background in the same year. 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引用次数: 0
摘要
为了实现《巴黎协定》将全球平均温度上升限制在1.5°C的目标,总人为辐射强迫(RF)应从目前的2.7 W m−2减少到1.9 W m−2左右。新开发的基于射频的气候足迹(rcf)指标量化了与当前和历史排放相关的射频的额外贡献,可以通过评估射频随时间的变化情况,支持与气候稳定目标的透明一致。然而,迄今为止,rcf的应用是基于IPCC第五次评估报告(AR)的参数和方程。考虑到IPCC第六次评估报告的最新更新,我们首次在涉及澳大利亚农业部门的案例研究中应用了rcf方法。我们使用两种模型比较了CH4、N2O和CO2的RF、rcf以及rcf的年变化。使用最新模型计算的所有射频和射频cf的结果都略低于使用旧模型计算的结果。近年来,农业部门对射频的贡献已趋于稳定,预计将在2022年(IPCC第六次射频模型)或2023年(IPCC第五次射频模型)达到净零增长点。考虑到排放寿命、辐射效率和基于背景浓度(1750-2019)的间接影响的最新更新,基于IPCC第6次AR模型的评估结果更为可靠。然而,需要一个动态模型来反映基于同一年相关气候背景的脉冲发射的额外RF。基于射频的足迹方法可以支持国家温室气体减排政策目标,特别是对于具有大量生物甲烷排放的部门。
Radiative forcing climate footprints in the agricultural sector: Comparison of models from the IPCC 5th and 6th Assessment Reports
To achieve the goal in the Paris Agreement of limiting mean global temperature rise to 1.5 °C, total anthropogenic radiative forcing (RF) should be reduced from current 2.7 to around 1.9 W m−2. A newly developed RF-based climate footprint (RFCF) indicator, which quantifies the additional contribution to RF associated with current and historical emissions, can support transparent alignment with climate stabilization targets by assessing the profile of RF over time. Nevertheless, RFCF applications to date have been based on parameters and equations from IPCC 5th Assessment Report (AR). Considering the latest updates in the IPCC 6th AR, we applied the RFCF approach for the first time in a case study involving the Australian agricultural sector. We compared the RF, RFCF and annual changes in RFCF of CH4, N2O and CO2 using both models. All the results of RF as well as RFCF calculated using the latest model were slightly lower than those obtained using the former model. The agricultural sector's contribution to RF had plateaued in recent years and is projected to reach the point of net zero increase in 2022 (IPCC 6th AR model) or 2023 (IPCC 5th AR model). Considering the latest updates in emission lifetime, radiative efficiency and indirect effects based on the background concentration (1750–2019), the assessments based on IPCC 6th AR model provide more reliable results. However, a dynamic model is required to reflect the additional RF for the pulse emission based on the relevant climate background in the same year. The RF-based footprint approach can support national greenhouse gas emission reduction policy targets, especially for sectors with substantial biogenic methane emissions.