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The Distribution and Variability of Simulated chlorophyll concentration over the Tropical Indian Ocean from Five CMIP5 Models

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Journal of Ocean University of China 2013年第2期12卷 253-259页

作者： LIU Lin FENG Lin YU Weidong WANG Huiwu LIU Yanliang SUN Shuangwen Center for Ocean and Climate Research First Institute of OceanographyState Oceanic Administration

Performances of 5 models from the Coupled Model Intercomparison Project Phase 5 (CMIP5) in simulating the chloro-phyll concentration over the tropical Indian Ocean are evaluated. Results show that these models are able to capture the dominant spatial distribution of observed chlorophyll concentration and reproduce the maximum chlorophyll concentration over the western part of the Arabian Sea, around the tip of the Indian subcontinent, and in the southeast tropical Indian Ocean. The seasonal evolution of chlorophyll concentration over these regions is also reproduced with significant amplitude diversity among models. All of 5 mod-els is able to simulate the interannual variability of chlorophyll concentration. The maximum interannual variation occurs at the same regions where the maximum climatological chlorophyll concentration is located. Further analysis also reveals that the Indian Ocean Dipole events have great impact on chlorophyll concentration in the tropical Indian Ocean. In the general successful simulation of chlorophyll concentration, most of the CMIP5 models present higher than normal chlorophyll concentration in the eastern equatorial Indian Ocean.

关键词： Indian Ocean chlorophyll concentration climatology seasonal variability interannual variability

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New Vegetation Index Monitoring Rice chlorophyll concentration Using Leaf Transmittance Spectra

New Vegetation Index Monitoring Rice Chlorophyll Concentrati...

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作者： Jinheng Zhang Chao Han Dapeng Li Institute of Eco-Environment and Agriculture Information and College of Environment and Safety EngineeringQingdao University of Science and Technology

Two field experiments were conducted to study the response of chlorophyll index based on three edge positions of leaf transmittance spectra to chlorophyll concentration in *** most upper,the second and the thired expanded leaves were sampled for chlorophyll concentration measurements and hyperspectral transmissivity of leaves on the main stem for three rice varieties were measured at different growth stages to select the transmittance spectra wavelength position and develop better algorithms to estimate chlorophyll *** indices called blue/yellow/red/edge transmittance spectra chlorophyll index(BETCI/YETCI/BETCI) were calculated from selected wavelength *** chlorophyll concentration had significant correlations(P chlorophyll b *** with BETCI and RETCI,stepwise regression analysis showed that YETCIand YETCI were better predictive indicator of chlorophyll total concentration and chlorophyll a *** wasn’t good predictive indicator of chlorophyll b *** this preliminary analysis it was observed that the transmittance spectra chlorophyll index YETCI and YETCI were the best predictors to estimated chlorophyll a and chlorophyll total concentrations respectively.

关键词： Rice chlorophyll concentration Leaf Spectral Transmissivity Vegetation Index

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Comparison of inversion of chlorophyll concentration in the Bohai Bay based on GOCI Data

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Marine Science Bulletin 2017年第2期19卷 62-74页

作者： ZHANG Xue ZHENG Xiao-shen Tianjin University of Science & Technology Tianjin 300457China Tianjin Key Laboratory of Marine Resources and Chemistry Tianjin 300457China Tianjin Marine Environmental Protection and Restoration Technology Engineening Center Tianjin 300457China

Bohai bay has poor water circulation capacity and low self-purification capacity,and a large number of land-sourced pollutants are accepted every *** estimation of chlorophyll concentration based on remote sensing plays an important role in the study of marine red tide and the monitoring of water quality in the Bohai *** it is necessary to select the best algorithm by comparing the performance of each *** the best algorithm is helpful to improve the precision of chlorophyll *** on the in-situ measurement data of the Bohai Bay and the GOCI remote sensing reflectance data,the retrieval models of chlorophyll concentration were established in this paper by using the methods of fluorescence line height(FLH),OC3,blue-green band ratio and NIR-red band *** above algorithms were evaluated by comparing the simulation results and the verification *** results showed that there are obvious differences in the accuracy of different retrieval *** fitting and retrieval effect of FLH is the best and NIR-red band ratio is the worst,and the OC3is similar to the blue-green band ratio method.

关键词： chlorophyll concentration GOCI fluorescence line height method Bohai Bay

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On Radar Signatures of Upwelling

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Journal of Geodesy and Geoinformation Science 2021年第1期4卷 17-23页

作者： Werner ALPERS Kan ZENG Institute of Oceanography University of HamburgHamburg 20146Germany Ocean Remote Sensing Institute Ocean University of ChinaQingdao 266003China

In studies of upwelling,usually data from infrared and optical sensors is used which provides information on the sea surface temperature(SST)and the chlorophyll-a(Chl-a)*** this paper,we show that also synthetic aperture radars(SAR)images can give valuable contribution to such *** regions become detectable by SAR because they are associated with a reduction of the radar backscatter due to(1)the change of the stability of the air-sea interface or/and(2)the presence of biogenic ***,the boundary of upwelling regions consists of a line of increased radar backscatter due to the presence of convergent surface flow.

关键词： upwelling synthetic aperture radar cyclonic eddies Agulhas Return Current biogenic surface films chlorophyll concentration air-sea interface sea surface temperature

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