Factors limiting contrail detection in satellite imagery

IF 3.2 3区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES Atmospheric Measurement Techniques Pub Date : 2024-08-06 DOI:10.5194/egusphere-2024-2198
Oliver G. A. Driver, Marc E. J. Stettler, Edward Gryspeerdt
{"title":"Factors limiting contrail detection in satellite imagery","authors":"Oliver G. A. Driver, Marc E. J. Stettler, Edward Gryspeerdt","doi":"10.5194/egusphere-2024-2198","DOIUrl":null,"url":null,"abstract":"<strong>Abstract.</strong> Contrails (clouds produced by aircraft exhaust) have a significant warming contribution to the overall climate impact of aviation. This makes reducing them a key target for future climate strategies in the sector. Identifying pathways for contrail reduction requires accurate models of contrail formation and lifecycle, which in turn need suitable observations to constrain them. Infrared imagers on geostationary satellites provide widespread, time-resolved observations of the evolution of contrail properties. However, contrails are often narrow and optically thin, which makes them challenging for satellites to identify. Quantifying the impact of contrail properties on observability is essential to determine the extent to which satellite observations can be used to constrain contrail models and to assess the climate impact of aviation. In this work, contrail observability is tested by applying a simple contrail detection algorithm to synthetic images of contrails in an otherwise-clear sky against a homogeneous ocean background. Only (46 ± 2) % of a modelled population of global contrail segments are found to be observable using current 2 km resolution instruments, even in this maximally-observable case. A significantly higher portion of contrail forcing is detectable using the same imager—(82 ± 2) % of instantaneous longwave forcing—because observable contrails have a larger climate impact. This detection efficiency could be partly improved by using a higher-resolution infrared imager, which would also allow contrails to be detected earlier in their lifecycle. However, even this instrument would still miss the large fraction of contrails that are too optically thin to be detected. These results support the use of contrail detection and lifetime observations from existing satellite imagers to draw conclusions about the relative radiative importance of different contrails under near-ideal conditions. However, there is a highlighted need to assess the observability of specific contrails depending on the observation requirements of a given application. These observability factors are shown to change in response to climate action, demonstrating a need to consider the properties of the observing system when assessing the impacts of proposed mitigation strategies.","PeriodicalId":8619,"journal":{"name":"Atmospheric Measurement Techniques","volume":"94 1","pages":""},"PeriodicalIF":3.2000,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Atmospheric Measurement Techniques","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.5194/egusphere-2024-2198","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"METEOROLOGY & ATMOSPHERIC SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

Abstract. Contrails (clouds produced by aircraft exhaust) have a significant warming contribution to the overall climate impact of aviation. This makes reducing them a key target for future climate strategies in the sector. Identifying pathways for contrail reduction requires accurate models of contrail formation and lifecycle, which in turn need suitable observations to constrain them. Infrared imagers on geostationary satellites provide widespread, time-resolved observations of the evolution of contrail properties. However, contrails are often narrow and optically thin, which makes them challenging for satellites to identify. Quantifying the impact of contrail properties on observability is essential to determine the extent to which satellite observations can be used to constrain contrail models and to assess the climate impact of aviation. In this work, contrail observability is tested by applying a simple contrail detection algorithm to synthetic images of contrails in an otherwise-clear sky against a homogeneous ocean background. Only (46 ± 2) % of a modelled population of global contrail segments are found to be observable using current 2 km resolution instruments, even in this maximally-observable case. A significantly higher portion of contrail forcing is detectable using the same imager—(82 ± 2) % of instantaneous longwave forcing—because observable contrails have a larger climate impact. This detection efficiency could be partly improved by using a higher-resolution infrared imager, which would also allow contrails to be detected earlier in their lifecycle. However, even this instrument would still miss the large fraction of contrails that are too optically thin to be detected. These results support the use of contrail detection and lifetime observations from existing satellite imagers to draw conclusions about the relative radiative importance of different contrails under near-ideal conditions. However, there is a highlighted need to assess the observability of specific contrails depending on the observation requirements of a given application. These observability factors are shown to change in response to climate action, demonstrating a need to consider the properties of the observing system when assessing the impacts of proposed mitigation strategies.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
限制从卫星图像中探测烟云的因素
摘要烟尘(飞机排气产生的云)对航空业的整体气候影响具有显著的增温作用。因此,减少烟云成为航空业未来气候战略的关键目标。要确定减少烟云的途径,就必须建立准确的烟云形成和生命周期模型,而这反过来又需要合适的观测数据来加以约束。地球静止卫星上的红外成像仪可对烟云特性的演变进行广泛的时间分辨观测。然而,烟云通常很窄,光学上很薄,这使得卫星难以识别。要确定卫星观测数据在多大程度上可用于约束烟云模型和评估航空对气候的影响,就必须量化烟云特性对可观测性的影响。在这项工作中,通过对以同质海洋为背景的晴朗天空中的烟云合成图像应用简单的烟云探测算法,测试了烟云的可观测性。结果发现,即使在这种最大可观测的情况下,使用目前的 2 千米分辨率仪器也只能观测到模拟的全球烟云片段中的(46 ± 2)%。使用相同的成像仪,可探测到的大气扰动要高得多--占瞬时长波扰动的(82 ± 2)%,因为可观测到的大气扰动对气候的影响更大。使用更高分辨率的红外成像仪可以在一定程度上提高探测效率,这样也能在更早的生命周期内探测到裙迹。不过,即使使用这种仪器,仍会漏掉一大部分因光学厚度太薄而无法探测到的烟云。这些结果支持利用现有卫星成像仪对烟云的探测和生命周期的观测,得出在接近理想条件下不同烟云相对辐射重要性的结论。然而,根据特定应用的观测要求,评估特定逆流云的可观测性的需求非常突出。这些可观测性因素会随着气候行动而发生变化,这表明在评估拟议减缓战略的影响时需要考虑观测系统的特性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Atmospheric Measurement Techniques
Atmospheric Measurement Techniques METEOROLOGY & ATMOSPHERIC SCIENCES-
CiteScore
7.10
自引率
18.40%
发文量
331
审稿时长
3 months
期刊介绍: Atmospheric Measurement Techniques (AMT) is an international scientific journal dedicated to the publication and discussion of advances in remote sensing, in-situ and laboratory measurement techniques for the constituents and properties of the Earth’s atmosphere. The main subject areas comprise the development, intercomparison and validation of measurement instruments and techniques of data processing and information retrieval for gases, aerosols, and clouds. The manuscript types considered for peer-reviewed publication are research articles, review articles, and commentaries.
期刊最新文献
Analyzing the chemical composition, morphology and size of ice-nucleating particles by coupling a scanning electron microscope to an offline diffusion chamber Wet-Radome Attenuation in ARM Cloud Radars and Its Utilization in Radar Calibration Using Disdrometer Measurements Chilean Observation Network De MeteOr Radars (CONDOR): Multi-Static System Configuration & Wind Comparison with Co-located Lidar Benchmarking KDP in Rainfall: A Quantitative Assessment of Estimation Algorithms Using C-Band Weather Radar Observations Advances in OH reactivity instruments for airborne field measurements
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1