CCPortal
DOI10.1016/j.rse.2020.112053
Aerosols in OCO-2/GOSAT retrievals of XCO2: An information content and error analysis
Sanghavi S.; Nelson R.; Frankenberg C.; Gunson M.
发表日期2020
ISSN00344257
卷号251
英文摘要We have analyzed the effect of aerosols on the retrieval of the dry air mixing ratio of carbon dioxide (XCO2) in the Earth's atmosphere from instruments like OCO-2 and GOSAT. High-fidelity simulations of multi-angle spectropolarimetric observations in the O2 A-band and the weak and strong CO2 bands are used to evaluate the information contained in different measurement subsets/synergies for the retrieval of aerosol, surface, and molecular parameters. We contrast the biases and uncertainties in the retrieved XCO2 resulting from the assumption of free or fixed aerosol microphysical parameters in the retrieval algorithm. It is very difficult to achieve the required retrieval accuracy of 0.2% for XCO2 using intensity-only Nadir mode measurements. The uncertainty in the retrieved XCO2 can be minimized by introducing multiangle and polarimetric measurement synergies. While the retrieval bias on XCO2 is practically eliminated by the addition of measurement synergies for free aerosol microphysical parameters, fixed aerosol retrievals can lead to an increase in XCO2 bias. In both cases, our full multi-angle polarimetric dataset produces a maximum uncertainty of ~1.6% in the retrieved XCO2 at low aerosol optical thicknesses and over dark surfaces. The XCO2 retrieval uncertainty improves to better than 0.2% at greater aerosol optical thickness and brighter surfaces. The problematic low aerosol optical thickness and low surface brightness regime produces an XCO2 bias of 1 − 8 % for fixed aerosol microphysics, while the free parameters produce a maximum bias well under 10−3% for all retrieval scenes considered. © 2020
英文关键词Aerosol; Climatology; Multi-angle viewing; O2 A-band; OCO-2; Polarimetry; Weak and strong CO2 bands; XCO2
语种英语
scopus关键词Aerosols; Carbon dioxide; Earth atmosphere; Luminance; Parameter estimation; Polarimeters; Aerosol optical thickness; High-fidelity simulations; Information contents; Microphysical parameters; Molecular parameters; Polarimetric measurements; Retrieval algorithms; Retrieval uncertainty; Uncertainty analysis; aerosol; carbon dioxide; error analysis; GOSAT; instrumentation; measurement method; nadir; OCO; simulation
来源期刊Remote Sensing of Environment
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/179134
作者单位Jet Propulsion Laboratory, Pasadena, CA, United States; California Institute of Technology, Pasadena, CA, United States
推荐引用方式
GB/T 7714
Sanghavi S.,Nelson R.,Frankenberg C.,et al. Aerosols in OCO-2/GOSAT retrievals of XCO2: An information content and error analysis[J],2020,251.
APA Sanghavi S.,Nelson R.,Frankenberg C.,&Gunson M..(2020).Aerosols in OCO-2/GOSAT retrievals of XCO2: An information content and error analysis.Remote Sensing of Environment,251.
MLA Sanghavi S.,et al."Aerosols in OCO-2/GOSAT retrievals of XCO2: An information content and error analysis".Remote Sensing of Environment 251(2020).
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Sanghavi S.]的文章
[Nelson R.]的文章
[Frankenberg C.]的文章
百度学术
百度学术中相似的文章
[Sanghavi S.]的文章
[Nelson R.]的文章
[Frankenberg C.]的文章
必应学术
必应学术中相似的文章
[Sanghavi S.]的文章
[Nelson R.]的文章
[Frankenberg C.]的文章
相关权益政策
暂无数据
收藏/分享

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。