气候变化领域集成服务门户(CCPortal): Wind speed and mesoscale features drive net autotrophy in the South Atlantic Ocean

CCPortal

DOI	10.1016/j.rse.2021.112435
	Wind speed and mesoscale features drive net autotrophy in the South Atlantic Ocean
	Ford D.; Tilstone G.H.; Shutler J.D.; Kitidis V.; Lobanova P.; Schwarz J.; Poulton A.J.; Serret P.; Lamont T.; Chuqui M.; Barlow R.; Lozano J.; Kampel M.; Brandini F.
发表日期	2021
ISSN	00344257
卷号	260
英文摘要	A comprehensive in situ dataset of chlorophyll a (Chl a; N = 18,001), net primary production (NPP; N = 165) and net community production (NCP; N = 95), were used to evaluate the performance of Moderate Resolution Imaging Spectroradiometer on Aqua (MODIS-A) algorithms for these parameters, in the South Atlantic Ocean, to facilitate the accurate generation of satellite NCP time series. For Chl a, five algorithms were tested using MODIS-A data, and OC3-CI performed best, which was subsequently used to compute NPP. Of three NPP algorithms tested, a Wavelength Resolved Model (WRM) was the most accurate, and was therefore used to estimate NCP with an empirical relationship between NCP with NPP and sea surface temperature (SST). A perturbation analysis was deployed to quantify the range of uncertainties introduced in satellite NCP from input parameters. The largest reductions in the uncertainty of satellite NCP came from MODIS-A derived NPP using the WRM (40%) and MODIS-A Chl a using OC3-CI (22%). The most accurate NCP algorithm, was used to generate a 16 year time series (2002 to 2018) from MODIS-A to assess climate and environmental drivers of NCP across the South Atlantic basin. Positive correlations between wind speed anomalies and NCP anomalies were observed in the central South Atlantic Gyre (SATL), and the Benguela Upwelling (BENG), indicating that autotrophic conditions may be fuelled by local wind-induced nutrient inputs to the mixed layer. Sea Level Height Anomalies (SLHA), used as an indicator of mesoscale eddies, were negatively correlated with NCP anomalies offshore of the BENG upwelling fronts into the SATL, suggesting autotrophic conditions are driven by mesoscale features. The Agulhas bank and Brazil-Malvinas confluence regions also had a strong negative correlation between SLHA and NCP anomalies, similarly indicating that NCP is forced by mesoscale eddy generation in this region. Positive correlations between SST anomalies and the Multivariate ENSO Index (MEI) in the SATL, indicated the influence of El Niño events on the South Atlantic Ocean, however the plankton community response was less clear. © 2021 The Authors
英文关键词	Environmental drivers; in situ uncertainty; MODIS-A; Ocean colour; Ocean metabolism; South Atlantic Ocean
语种	英语
scopus关键词	Climatology; Digital storage; Offshore oil well production; Satellites; Sea level; Surface waters; Time series; Wind; Atlantic Ocean; Environmental driver; In situ uncertainty; Moderate resolution imaging spectroradiometer on aqua; Moderate-resolution imaging spectroradiometers; Ocean color; Ocean metabolism; South Atlantic; South atlantic ocean; Wind speed; Radiometers; Indicator indicator
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/178826
作者单位	Plymouth Marine Laboratory, Plymouth, United Kingdom; College of Life and Environmental Sciences, University of Exeter, United Kingdom; St. Petersburg State University, St. Petersburg, Russian Federation; School of Biological and Marine Sciences, University of Plymouth, Plymouth, United Kingdom; Lyell Centre for Earth & Marine Science & Technology, Heriot-Watt University, Edinburgh, United Kingdom; Centro de Investigación Mariña, RE, Universidad de Vigo, Spain; Oceans & Coasts Research, Department of Environment, Forestry & Fisheries, Cape Town, South Africa; Bayworld Centre for Research & Education, Cape Town, South Africa; Laboratory of Marine Biogeochemistry, Department of Biological Oceanography, Oceanographic Institute, University of São Paulo, Brazil; Marine Research Institute & Department of Oceanography, University of Cape Town, South Africa; National Institute for Space Research, São José dos Campos, São Paulo, Brazil
推荐引用方式 GB/T 7714	Ford D.,Tilstone G.H.,Shutler J.D.,et al. Wind speed and mesoscale features drive net autotrophy in the South Atlantic Ocean[J],2021,260.
APA	Ford D..,Tilstone G.H..,Shutler J.D..,Kitidis V..,Lobanova P..,...&Brandini F..(2021).Wind speed and mesoscale features drive net autotrophy in the South Atlantic Ocean.Remote Sensing of Environment,260.
MLA	Ford D.,et al."Wind speed and mesoscale features drive net autotrophy in the South Atlantic Ocean".Remote Sensing of Environment 260(2021).