Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Hai-Lei Liu"'
Publikováno v:
Remote Sensing, Vol 16, Iss 19, p 3612 (2024)
Near-surface air temperature (Ta) estimation by geostationary meteorological satellites is mainly carried out under clear-sky conditions. In this study, we propose an all-weather Ta estimation method utilizing FY-4A Advanced Geostationary Radiation I
Externí odkaz:
https://doaj.org/article/f99547d130614197957b8ec7f752edf2
Publikováno v:
Remote Sensing, Vol 16, Iss 16, p 3043 (2024)
Precipitable water vapor (PWV) is one of the most dynamic components of the atmosphere, playing a critical role in precipitation formation, the hydrological cycle, and climate change. This study used SuomiNet Global Positioning System (GPS) data from
Externí odkaz:
https://doaj.org/article/89b5f065dd344b8fbe3e34664df85ae7
Publikováno v:
Remote Sensing, Vol 16, Iss 13, p 2497 (2024)
Aerosol research is important for the protection of the ecological environment, the improvement of air quality, and as a response to climate change. In this study, a random forest (RF) estimation model of aerosol optical depth (AOD) and extinction co
Externí odkaz:
https://doaj.org/article/7b0b987bf0a446f5aff806eac2425f5f
Autor:
Mao-Guo Hou, Ming Zha, Hua Liu, Hai-Lei Liu, Jiang-Xiu Qu, Ablimit Imin, Xiu-Jian Ding, Zhong-Fa Jiang
Publikováno v:
Petroleum Science (KeAi Communications Co.); Apr2024, Vol. 21 Issue 2, p836-854, 19p
Publikováno v:
Petroleum Science.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab06f69c716ea6e89b3815dfe25c6166
https://doi.org/10.1016/j.petsci.2022.11.004
https://doi.org/10.1016/j.petsci.2022.11.004
Publikováno v:
Petroleum Science. 18:1033-1046
Biodegradation usually obscures or even radically alters the original characteristics of oil biomarkers. The mixing of oil from multiple sources makes each source difficult to trace. Identifying the source of biodegraded oil from multiple sources has
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c520a21f8b783edd5c1bd1f4d75ef2cb
https://doi.org/10.1016/j.petsci.2021.07.010
https://doi.org/10.1016/j.petsci.2021.07.010
Publikováno v:
Petroleum Science (KeAi Communications Co.); Jun2023, Vol. 20 Issue 3, p1327-1346, 20p
Publikováno v:
Journal of Geriatric Cardiology : JGC
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::d1d2e7d460680cb0f8f50397d1b13f50
https://pubmed.ncbi.nlm.nih.gov/30675147
https://pubmed.ncbi.nlm.nih.gov/30675147
Publikováno v:
Applied Mechanics and Materials. :2071-2075
Airborne dust aerosol plays an important role in the climate system, as it not only impacts global atmospheric climate directly or indirectly, but also influences human life and transportation. Satellites are increasingly used to obtain information o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de74187a6804cd223d99c32f0b87c1f4
https://doi.org/10.4028/www.scientific.net/amm.644-650.2071
https://doi.org/10.4028/www.scientific.net/amm.644-650.2071
Publikováno v:
Key Engineering Materials. 500:390-396
A neural network (NN) based algorithm for retrieval of precipitable water vapor (PWV) from the Atmospheric Infrared Sounder (AIRS) observations is proposed. An exact radial basis function (RBF) network is selected, in which the at-sensor brightness t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6cbbce7e1b0ea4f02bb9b3cdc46f5d22
https://doi.org/10.4028/www.scientific.net/kem.500.390
https://doi.org/10.4028/www.scientific.net/kem.500.390