气候变化领域集成服务门户(CCPortal): The EMIT mission information yield for mineral dust radiative forcing

CCPortal

DOI	10.1016/j.rse.2021.112380
	The EMIT mission information yield for mineral dust radiative forcing
	Connelly D.S.; Thompson D.R.; Mahowald N.M.; Li L.; Carmon N.; Okin G.S.; Green R.O.
发表日期	2021
ISSN	00344257
卷号	258
英文摘要	The net direct radiative effect of mineral dust is a large uncertainty in global radiative forcing. To address this challenge, NASA's Earth Mineral dust source InvesTigation (EMIT) will map the surface mineralogy of Earth's desert dust source regions, constraining the composition of mineral dust aerosol for use in Earth system models (ESMs). This mission foreshadows multiple future global spectroscopic investigations for which coupling with ESMs will play a critical role. Planning such experiments requires a methodology for assessing the impact of uncertain remote observations on ESM accuracy. We design and implement an end-to-end simulation of the EMIT mission, leveraging Bayesian statistical methods and Monte Carlo sampling to analyze uncertainties in the retrieval and processing of EMIT data products. Special focus is placed on those uncertainties caused by atmospheric water vapor and aerosol loading conditions likely to be encountered by EMIT. We apply these results to a single-column configuration of the Community Earth System Model (CESM), revealing the potential impact of EMIT observations on radiative forcing estimates. We show that EMIT data stand to significantly reduce uncertainty in estimates of the dust direct radiative forcing attributable to uncertainties in surface mineralogies that are input to ESMs, and that the information gain for radiative forcing comes predominantly from better constraining iron oxides, which dominate the shortwave radiative effects of aerosol dust. © 2021 Elsevier Inc.
英文关键词	Aerosols; Mineral dust; Remote sensing; Uncertainty quantification
语种	英语
scopus关键词	Atmospheric radiation; Data handling; Dust; Iron oxides; Minerals; Monte Carlo methods; NASA; Product design; Remote sensing; Sampling; Uncertainty analysis; Desert dust; Dust sources; Earth system model; Mineral dust; Radiative effects; Radiative forcings; Remote-sensing; Surface mineralogy; Uncertainty; Uncertainty quantifications; Aerosols; Bayesian analysis; crop yield; design; estimation method; experimental study; mineral dust; radiative forcing; sampling; shortwave radiation; uncertainty analysis; water vapor
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/178871
作者单位	Department of Earth and Atmospheric Sciences, Cornell University, Ithaca, NY, United States; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States; University of California Los Angeles, Los Angeles, CA, United States
推荐引用方式 GB/T 7714	Connelly D.S.,Thompson D.R.,Mahowald N.M.,et al. The EMIT mission information yield for mineral dust radiative forcing[J],2021,258.
APA	Connelly D.S..,Thompson D.R..,Mahowald N.M..,Li L..,Carmon N..,...&Green R.O..(2021).The EMIT mission information yield for mineral dust radiative forcing.Remote Sensing of Environment,258.
MLA	Connelly D.S.,et al."The EMIT mission information yield for mineral dust radiative forcing".Remote Sensing of Environment 258(2021).