Decadal changes in the Arctic Ocean from 1998 to 2016 measured by multi-satellite data

Title
Decadal changes in the Arctic Ocean from 1998 to 2016 measured by multi-satellite data
Author(s)
김현아; 김현철; 손영백
KIOST Author(s)
Son, Young Baek(손영백)
Publication Year
2017-11-22
Abstract
As the Arctic warming becomes more proceeded, not only in the field of science but also the economy, industry and politics are paying attention to the environmental changes of the Arctic. The Arctic is controlled by ocean-atmosphere interactions on a global scale. In other words, a comprehensive and macroscopic view rather than simply analyzing one area with a single data is required to understand the changes in the environment of the Arctic. The aim of this study is to investigate the ecological changes related to physical factors such as sea surface temperature (SST) and sea ice concentration (SIC). Satellite measurements and reanalysis data were used to conduct research in a wider region and processed by MATLAB. Chlorophyll-a concentration (CHL) data obtained by ocean color sensor observing from blue-green band was used as one of the indirect methods for estimating the productivity of the ocean. The beginning of the polar orbital ocean color sensor is provided by the Sea-Wide Field-of-View Sensor (SeaWiFS) from 1998. Since 2007, when SeaWiFS was discontinued, the MODerate Resolution Imaging Spectroradiometer (MODIS) that installed in the polar-orbiting satellite Aqua, acquired up to 2016. As the physical factors of the marine environment, the Optimal Interpolation Sea Surface Temperature (OISST) and the ERA-Interim data of the European Center for Medium-Range Weather Forecasts (ECMWF) were used for SST and SIC.tions on a global scale. In other words, a comprehensive and macroscopic view rather than simply analyzing one area with a single data is required to understand the changes in the environment of the Arctic. The aim of this study is to investigate the ecological changes related to physical factors such as sea surface temperature (SST) and sea ice concentration (SIC). Satellite measurements and reanalysis data were used to conduct research in a wider region and processed by MATLAB. Chlorophyll-a concentration (CHL) data obtained by ocean color sensor observing from blue-green band was used as one of the indirect methods for estimating the productivity of the ocean. The beginning of the polar orbital ocean color sensor is provided by the Sea-Wide Field-of-View Sensor (SeaWiFS) from 1998. Since 2007, when SeaWiFS was discontinued, the MODerate Resolution Imaging Spectroradiometer (MODIS) that installed in the polar-orbiting satellite Aqua, acquired up to 2016. As the physical factors of the marine environment, the Optimal Interpolation Sea Surface Temperature (OISST) and the ERA-Interim data of the European Center for Medium-Range Weather Forecasts (ECMWF) were used for SST and SIC.
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/23563
Bibliographic Citation
Asia Data Week 2017, pp.91 - 92, 2017
Publisher
한국과학기술정보연구원
Type
Conference
Language
English
Publisher
한국과학기술정보연구원
Related Researcher
Research Interests

Ocean Color Remote Sensing,Climate Change,UAV,해양원격탐사,기후변화,무인체계

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