气候变化领域集成服务门户(CCPortal): Systematic detection of local CH4 anomalies by combining satellite measurements with high-resolution forecasts

CCPortal

DOI	10.5194/acp-21-5117-2021
	Systematic detection of local CH4 anomalies by combining satellite measurements with high-resolution forecasts
	Barre J.; Aben I.; Agustí-Panareda A.; Balsamo G.; Bousserez N.; Dueben P.; Engelen R.; Inness A.; Lorente A.; McNorton J.; Radnoti G.; Ribas R.
发表日期	2021
ISSN	1680-7316
起始页码	5117
结束页码	5136
卷号	21 期号:6
英文摘要	In this study, we present a novel monitoring methodology that combines satellite retrievals and forecasts to detect local CH4concentration anomalies worldwide. These anomalies are caused by rapidly changing anthropogenic emissions that significantly contribute to the CH4atmospheric budget and by biases in the satellite retrieval data. The method uses high-resolution (7 km×7 km) retrievals of total column CH4from the TROPOspheric Monitoring Instrument (TROPOMI) on board the Sentinel 5 Precursor satellite. Observations are combined with high-resolution CH4forecasts (∼9 km) produced by the Copernicus Atmosphere Monitoring Service (CAMS) to provide departures (observations minus forecasts) at close to the satellite's native resolution at appropriate time. Investigating these departures is an effective way to link satellite measurements and emission inventory data in a quantitative manner. We perform filtering on the departures to remove the synoptic-scale and meso-alpha-scale biases in both forecasts and satellite observations. We then apply a simple classification scheme to the filtered departures to detect anomalies and plumes that are missing (e.g. pipeline or facility leaks), underreported or overreported (e.g. depleted drilling fields) in the CAMS emissions. The classification method also shows some limitations to detect emission anomalies only due to local satellite retrieval biases linked to albedo and scattering issues. © 2021 American Institute of Physics Inc.. All rights reserved.
语种	英语
scopus关键词	ammonia; anthropogenic source; concentration (composition); detection method; forecasting method; image resolution; measurement method; satellite data
来源期刊	ATMOSPHERIC CHEMISTRY AND PHYSICS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/247005
作者单位	ECMWF, European Centre for Medium-Range Weather Forecasts, Shinfield Park, Reading, United Kingdom; SRON, Netherlands Institute for Space Research, Utrecht, Netherlands
推荐引用方式 GB/T 7714	Barre J.,Aben I.,Agustí-Panareda A.,et al. Systematic detection of local CH4 anomalies by combining satellite measurements with high-resolution forecasts[J],2021,21(6).
APA	Barre J..,Aben I..,Agustí-Panareda A..,Balsamo G..,Bousserez N..,...&Ribas R..(2021).Systematic detection of local CH4 anomalies by combining satellite measurements with high-resolution forecasts.ATMOSPHERIC CHEMISTRY AND PHYSICS,21(6).
MLA	Barre J.,et al."Systematic detection of local CH4 anomalies by combining satellite measurements with high-resolution forecasts".ATMOSPHERIC CHEMISTRY AND PHYSICS 21.6(2021).