Monitoring the Amazon River plume from satellite observations
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作者:
Shi, Wei
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Ctr Satellite Applicat & Res, NOAA Natl Environm Satellite Data Informat Serv, College Pk, MD 20740 USA
Colorado State Univ, CIRA, Ft Collins, CO USACtr Satellite Applicat & Res, NOAA Natl Environm Satellite Data Informat Serv, College Pk, MD 20740 USA
Shi, Wei
[1
,2
]
Wang, Menghua
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Ctr Satellite Applicat & Res, NOAA Natl Environm Satellite Data Informat Serv, College Pk, MD 20740 USACtr Satellite Applicat & Res, NOAA Natl Environm Satellite Data Informat Serv, College Pk, MD 20740 USA
Wang, Menghua
[1
]
机构:
[1] Ctr Satellite Applicat & Res, NOAA Natl Environm Satellite Data Informat Serv, College Pk, MD 20740 USA
Most of our knowledge about the Amazon River plume is limited from the field experiments or modeling due to various challenges for satellite remote sensing, i.e., constant cloud coverage, atmospheric correction, and difficulties to differentiate the Amazon River plume from normal Atlantic Ocean water. In this study, observations of ocean properties from the Visible Infrared Imaging Radiometer Suite (VIIRS) and sea surface salinity (SSS) from the Soil Moisture Active Passive (SMAP) missions in 2021 are used as an example to demonstrate the capability to monitor the Amazon River plume on daily basis and characterize the change of the ocean environment driven by the offshoots and migration of the plume in the western tropical Atlantic Ocean. The start, development, evolvement, dispersion, and dissipation of the Amazon River plume in 2021 in the western tropical Atlantic Ocean were effectively monitored. The extensive influence of the Amazon River runoff mostly occurred between June and November. The water diffuse attenuation coefficient at 490 nm (K-d(490)) and SSS were significantly impacted by the Amazon River plume in the vast region of the western tropical Atlantic Ocean. The routes of the Amazon River plume that flowed into the Atlantic Ocean were highly variable. High turbidity, low salinity plume water with K-d(490) reaching similar to 1.0 m(-1) and SSS similar to 25 practical salinity unit (psu) was found in a region over 500 km from the Amazon River Estuary. The comparison of the Amazon River plume in 2020 and 2022 further shows the complication of the driving forcing and inter-annual variability of the Amazon River plume. The combination of gap-free satellite ocean color and SSS observations provided a new tool to monitor the short-term variability of the Amazon River plume and assess its seasonal and interannual impact on the ocean environment in the western tropical Atlantic Ocean.
机构:
Univ Hawaii, Sch Ocean & Earth Sci & Technol, Int Pacific Res Ctr, Honolulu, HI 96822 USAUniv Hawaii, Sch Ocean & Earth Sci & Technol, Int Pacific Res Ctr, Honolulu, HI 96822 USA
机构:
Natl Inst Space Res INPE, Remote Sensing Div, BR-12227010 Sao Jose Dos Campos, SP, BrazilNatl Inst Space Res INPE, Remote Sensing Div, BR-12227010 Sao Jose Dos Campos, SP, Brazil
Fontes Molleri, Gustavo Souto
Kampel, Milton
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Natl Inst Space Res INPE, Remote Sensing Div, BR-12227010 Sao Jose Dos Campos, SP, BrazilNatl Inst Space Res INPE, Remote Sensing Div, BR-12227010 Sao Jose Dos Campos, SP, Brazil
Kampel, Milton
Ledo de Moraes Novo, Evlyn Marcia
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Natl Inst Space Res INPE, Remote Sensing Div, BR-12227010 Sao Jose Dos Campos, SP, BrazilNatl Inst Space Res INPE, Remote Sensing Div, BR-12227010 Sao Jose Dos Campos, SP, Brazil
机构:
Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Zone Environm Processes & Ecol Re, Shandong, Peoples R ChinaChinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Zone Environm Processes & Ecol Re, Shandong, Peoples R China
Guo, Kai
Zou, Tao
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Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Zone Environm Processes & Ecol Re, Shandong, Peoples R ChinaChinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Zone Environm Processes & Ecol Re, Shandong, Peoples R China
Zou, Tao
Jiang, Dejuan
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Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Zone Environm Processes & Ecol Re, Shandong, Peoples R ChinaChinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Zone Environm Processes & Ecol Re, Shandong, Peoples R China
Jiang, Dejuan
Tang, Cheng
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Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Zone Environm Processes & Ecol Re, Shandong, Peoples R ChinaChinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Zone Environm Processes & Ecol Re, Shandong, Peoples R China
Tang, Cheng
Zhang, Hua
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Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Zone Environm Processes & Ecol Re, Shandong, Peoples R ChinaChinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Zone Environm Processes & Ecol Re, Shandong, Peoples R China
机构:
Ocean Univ China, Key Lab Submarine Geosci & Prospecting Tech, Qingdao 266000, Peoples R ChinaLaoshan Lab, Ocean Sci & Interdisciplinary Frontiers, Qingdao 266061, Peoples R China
Bi, Naishuang
Sun, Kunpeng
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机构:
State Ocean Adm, North China Sea Marine Forecasting Ctr, Qingdao 266000, Peoples R ChinaLaoshan Lab, Ocean Sci & Interdisciplinary Frontiers, Qingdao 266061, Peoples R China
Sun, Kunpeng
Wang, Houjie
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机构:
Ocean Univ China, Key Lab Submarine Geosci & Prospecting Tech, Qingdao 266000, Peoples R ChinaLaoshan Lab, Ocean Sci & Interdisciplinary Frontiers, Qingdao 266061, Peoples R China
Wang, Houjie
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,
2025,
63