Knowledge Resource Center for Ecological Environment in Arid Area
| DOI | 10.1016/j.rse.2021.112380 |
| The EMIT mission information yield for mineral dust radiative forcing | |
| Connelly, David S.; Thompson, David R.; Mahowald, Natalie M.; Li, Longlei; Carmon, Nimrod; Okin, Gregory S.; Green, Robert O. | |
| 通讯作者 | Connelly, DS (corresponding author), Cornell Univ, Dept Earth & Atmospher Sci, Ithaca, NY 14850 USA. |
| 来源期刊 | REMOTE SENSING OF ENVIRONMENT
 |
| ISSN | 0034-4257 |
| EISSN | 1879-0704 |
| 出版年 | 2021 |
| 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. |
| 英文关键词 | Remote sensing Uncertainty quantification Aerosols Mineral dust |
| 类型 | Article |
| 语种 | 英语 |
| 收录类别 | SCI-E |
| WOS记录号 | WOS:000637770200003 |
| WOS类目 | Environmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology |
| WOS研究方向 | Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 来源机构 | University of California, Los Angeles |
| 资源类型 | 期刊论文 |
| 条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/351546 |
| 作者单位 | [Connelly, David S.; Mahowald, Natalie M.; Li, Longlei] Cornell Univ, Dept Earth & Atmospher Sci, Ithaca, NY 14850 USA; [Thompson, David R.; Carmon, Nimrod; Green, Robert O.] CALTECH, Jet Prop Lab, 4800 Oak Grove Dr, Pasadena, CA USA; [Okin, Gregory S.] Univ Calif Los Angeles, Los Angeles, CA USA |
| 推荐引用方式 GB/T 7714 | Connelly, David S.,Thompson, David R.,Mahowald, Natalie M.,et al. The EMIT mission information yield for mineral dust radiative forcing[J]. University of California, Los Angeles,2021,258. |
| APA | Connelly, David S..,Thompson, David R..,Mahowald, Natalie M..,Li, Longlei.,Carmon, Nimrod.,...&Green, Robert O..(2021).The EMIT mission information yield for mineral dust radiative forcing.REMOTE SENSING OF ENVIRONMENT,258. |
| MLA | Connelly, David S.,et al."The EMIT mission information yield for mineral dust radiative forcing".REMOTE SENSING OF ENVIRONMENT 258(2021). |
| 条目包含的文件 | 条目无相关文件。 | |||||
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