Relationships Among SST Variability, Physical, and Biological Parameters in the Northeastern Indian Ocean

IF 1.6 4区 地球科学 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES
Thushani Suleka Madhubhashini Elepathage, D. Tang
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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.
印度洋东北部SST变化、物理和生物参数之间的关系
摘要本研究通过研究海面温度(SST)与一系列生物和物理变量之间的关系,模拟了孟加拉湾、阿拉伯海和斯里兰卡周围专属经济区的物理和生物变化,从而预测了所研究变量随温度变化的变化。数据集是从2003年至2015年的卫星数据中提取的。使用增强回归树(BRT)对数据进行建模,并确定它们之间的(非线性)关系。在研究区域内,基于BRT模型,开放水域的硝酸盐、潜热通量、风速和叶绿素a浓度与SST呈负相关,而气温和臭氧质量混合比与SST呈正相关。风速和叶绿素a浓度的季节性峰值出现在6月至8月。SST和气温峰值出现在3-5月,硝酸盐和潜热峰值出现在9-11月,臭氧质量混合比峰值出现在12-2月。28°C以上SST的气温、硝酸盐浓度、开放水域潜热通量、表面风速、叶绿素a浓度和臭氧质量混合比的高度相关范围为299–300.5 K、 >0.2 µmol L−120–160 W m−2,4–8 m s−1,0.1–1 毫克 m−3和4.5–5.5 × 10−8。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Atmosphere-Ocean
Atmosphere-Ocean 地学-海洋学
CiteScore
2.50
自引率
16.70%
发文量
33
审稿时长
>12 weeks
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.
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