{"title":"Relationships Among SST Variability, Physical, and Biological Parameters in the Northeastern Indian Ocean","authors":"Thushani Suleka Madhubhashini Elepathage, D. Tang","doi":"10.1080/07055900.2020.1767028","DOIUrl":null,"url":null,"abstract":"ABSTRACT This study modelled physical and biological changes in the Bay of Bengal, the Arabian Sea, and the exclusive economic zone around Sri Lanka by examining the relationships between sea surface temperature (SST) and a range of biological and physical variables allowing prediction of the changes in the variables studied with changing temperature. Datasets were extracted from satellite data from 2003 to 2015. Boosted regression trees (BRT) were used to model the data and identify their (non-linear) relationships. Within the study region and based on the BRT model, nitrate, latent heat flux, wind speed, and chlorophyll a (chl a) concentration in open water were found to have negative relationships with SST, while air temperature and ozone mass mixing ratio had positive relationships. Seasonal peak values of wind speed and chl a concentrations occurred from June to August. Peak SST and air temperature values occurred from March to May, peak nitrate and latent heat values from September to November, and peak ozone mass mixing ratios from December to February. The highly correlated ranges of air temperature, nitrate concentration, open water latent energy flux, surface wind speed, chl a concentration, and ozone mass mixing ratio for SST above 28°C were 299–300.5 K, >0.2 µmol L−1, 120–160 W m−2, 4–8 m s−1, 0.1–1 mg m−3, and 4.5–5.5 × 10−8, respectively.","PeriodicalId":55434,"journal":{"name":"Atmosphere-Ocean","volume":"58 1","pages":"192 - 205"},"PeriodicalIF":1.6000,"publicationDate":"2020-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/07055900.2020.1767028","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Atmosphere-Ocean","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1080/07055900.2020.1767028","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"METEOROLOGY & ATMOSPHERIC SCIENCES","Score":null,"Total":0}
引用次数: 1
Abstract
ABSTRACT This study modelled physical and biological changes in the Bay of Bengal, the Arabian Sea, and the exclusive economic zone around Sri Lanka by examining the relationships between sea surface temperature (SST) and a range of biological and physical variables allowing prediction of the changes in the variables studied with changing temperature. Datasets were extracted from satellite data from 2003 to 2015. Boosted regression trees (BRT) were used to model the data and identify their (non-linear) relationships. Within the study region and based on the BRT model, nitrate, latent heat flux, wind speed, and chlorophyll a (chl a) concentration in open water were found to have negative relationships with SST, while air temperature and ozone mass mixing ratio had positive relationships. Seasonal peak values of wind speed and chl a concentrations occurred from June to August. Peak SST and air temperature values occurred from March to May, peak nitrate and latent heat values from September to November, and peak ozone mass mixing ratios from December to February. The highly correlated ranges of air temperature, nitrate concentration, open water latent energy flux, surface wind speed, chl a concentration, and ozone mass mixing ratio for SST above 28°C were 299–300.5 K, >0.2 µmol L−1, 120–160 W m−2, 4–8 m s−1, 0.1–1 mg m−3, and 4.5–5.5 × 10−8, respectively.
期刊介绍:
Atmosphere-Ocean is the principal scientific journal of the Canadian Meteorological and Oceanographic Society (CMOS). It contains results of original research, survey articles, notes and comments on published papers in all fields of the atmospheric, oceanographic and hydrological sciences. Arctic, coastal and mid- to high-latitude regions are areas of particular interest. Applied or fundamental research contributions in English or French on the following topics are welcomed:
climate and climatology;
observation technology, remote sensing;
forecasting, modelling, numerical methods;
physics, dynamics, chemistry, biogeochemistry;
boundary layers, pollution, aerosols;
circulation, cloud physics, hydrology, air-sea interactions;
waves, ice, energy exchange and related environmental topics.