Ekman dynamics variability along the southern coast of Java revealed by satellite data-Reference-Cited by-同舟云学术

Ekman dynamics variability along the southern coast of Java revealed by satellite data

Published:2020-08-26 Issue:21 Volume:41 Page:8475-8496
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Wirasatriya Anindya¹²^ORCID,Setiawan Joga Dharma²³,Sugianto Denny Nugroho¹²^ORCID,Rosyadi Insan Alfi¹,Haryadi Haryadi¹,Winarso Gathot⁴,Setiawan Riza Yuliratno⁵^ORCID,Susanto R. Dwi⁶⁷^ORCID

Affiliation:

1. Department of Oceanography, Faculty of Fisheries and Marine Science, Diponegoro University , Semarang, Indonesia

2. Center for Coastal Disaster Mitigation and Rehabilitation Studies, Diponegoro University , Semarang, Indonesia

3. Department of Mechanical Engineering, Faculty of Engineering, Diponegoro University , Semarang, Indonesia

4. Remote Sensing Application Center, National Institute of Aeronautics and Space of Indonesia , Jakarta, Indonesia

5. Fisheries Department, Universitas Gadjah Mada , Jogjakarta, Indonesia

6. Department of Atmospheric and Oceanic Science, University of Maryland , Maryland, USA

7. Faculty of Earth Science and Technology, Bandung Institute of Technology , Bandung, Indonesia

Funder

the Indonesian Ministry of Research, Technology and Higher Education under WCU Program managed by Institut Teknologi Bandung

the US National Aeronautics and Space Administration

non-APBN DPA LPPM 2019, Universitas Diponegoro

The Indonesian Ministry of Research, Technology and Higher Education, under World Class Professor Program

The Indonesian Ministry of Research, Technology and Higher Education under PDUPT scheme

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2020.1797215

Reference62 articles.

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2. Study of Seasonal Variation of Sea Surface Salinity in Java Sea and its Surrounding Seas using SMAP Satellite

3. Brown, O. B. , and P. J. Minnett . 2009. “MODIS Infrared Sea Surface Temperature Algorithm Theoretical Basis Document”, version 2.0 April, http://modis.gsfc.nasa.gov/data/atbd/atbd_mod25.pdf

4. Upwelling around Cabo Frio, Brazil: The importance of wind stress curl

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