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| 1 | A new merged dataset of global ocean chlorophyll a concentration with higher spatial and temporal coverage显示文摘Understanding the ocean's role in the global carbon cycle and its response to environmental change requires a high spatio-temporal resolution of observation.Merging ocean color data from multiple sources is an effective way to alleviate the limitation of individual ocean color sensors(e.g.,swath width and gaps,cloudy or rainy weather,and sun glint) and to improve the temporal and spatial coverage.Since the missions of Sea-Viewing Wide Field-of-View Sensor(Sea Wi FS) and Medium-spectral Resolution Imaging Spectrometer(MERIS) ended on December 11,2010 and May 9,2012,respectively,the number of available ocean color sensors has declined,reducing the benefits of the merged ocean color data with respect to the spatial and temporal coverage.In present work,Medium Resolution Spectral Imager(MERSI)/FY-3 of China is added in merged processing and a new dataset of global ocean chlorophyll a(Chl a) concentration(2000–2015) is generated from the remote sensing reflectance(Rrs(λ)) observations of MERIS,Moderate-resolution imaging spectra-radiometer(MODIS)-AQUA,Visible infrared Imaging Radiometer(VIIRS) and MERSI.These data resources are first merged into unified remote sensing reflectance data,and then Chl a concentration data are inversed using the combined Chl a algorithm of color index-based algorithm(CIA) and OC3.The merged data products show major improvements in spatial and temporal coverage from the addition of MERSI.The average daily coverage of merged products is approximately 24% of the global ocean and increases by approximately 9% when MERSI data are added in the merging process.Sampling frequency(temporal coverage) is greatly improved by combining MERSI data,with the median sampling frequency increasing from 15.6%(57 d/a) to 29.9%(109 d/a).The merged Chl a products herein were validated by in situ measurements and comparing them with the merged products using the same approach except for omitting MERSI and Glob Colour and MEa SUREs merged data.Correlation and relative error between the new merged Chl a products and in situ observation are stable relative to the results of the merged products without the addition of MERSI.Time series of the Chl a concentration anomalies are similar to the merged products without adding MERSI and single sensors.The new merged products agree within approximately 10% of the merged Chl a product from Glob Colour and MEa SUREs. | XIAO Yanfang ZHANG Jie CUI Tingwei SUN Ling | 2018 | Acta Oceanologica Sinica2018，37，7： | 2 |
| 2 | A Preliminary Research on Dominant Species Identification of Red Tide Organism by Airbome Hyperspectral Technique 显示文摘 | Ma Yi Zhang Jie Cui Tingwei | 2003 | SPIE Proceedings-Ocean Remote Sensing and Applications2003，4892，5： | 1 |
| 3 | Coupling remote sensing retrieval with numerical simulation for SPM study—Taking Bohai Sea in China as a case显示文摘 | Xiaoling Chen Jianzhong Lu Tingwei Cui Wensheng Jiang Liqiao Tian Liqiong Chen Wenjing Zhao | 2009 | International Journal of Applied Earth Observations and Geoinformation2009，，： | 1 |
| 4 | Remote sensing retrieval of inorganic suspended particle size in the Bohai Sea显示文摘 | Song Qing Jie Zhang Tingwei Cui | 2014 | Continental Shelf Research2014，，73： | 1 |
| 5 | Spectral Characteristics Analysis of Red Tide Water in Mesocosm Experiment显示文摘 | Zhang Jie Zhang Hongliang | 2003 | SPIE Proceedings-Ocean Remote Sensing and Applications2003，4892，6： | 1 |
| 6 | A Preliminary Research on Dominant Species Identification of Red Tide Organism by Airborne Hyperspectral Technique显示文摘 | Zhang Jie Cui Tingwei | 2003 | SPIE Proceedings-Ocean Remote Sensing and Applications2003，4892，5： | 1 |
| 7 | Satellite monitoring of massive green macroalgae bloom (GMB): imaging ability comparison of multi-source data and drifting velocity estimation显示文摘 | Cui Tingwei Zhang Jie Sun Li'e | 2012 | International Journal of Remote Sensing2012，33，17： | 1 |
| 8 | Satellite macroalgae bloom multi-source data and drifting velocity estimation显示文摘 | Cui Tingwei Zhang Jie Sun monitoring of massive green imaging ability comparison of Lie | 2012 | International Journal ofRemote Sensing2012，33，17： | 1 |
| 9 | Satellite-observed significant improvement in nearshore transparency of the Bohai Sea during pollution control显示文摘The Bohai Sea(BS)is the unique semi-closed inland sea of China,characterized by degraded water quality due to significant terrestrial pollution input.In order to improve its water quality,a dedicated action named“Uphill Battles for Integrated Bohai Sea Management”(UBIBSM,2018–2020)was implemented by the Chinese government.To evaluate the action effectiveness toward water quality improvement,variability of the satelliteobserved water transparency(Secchi disk depth,Z_(SD))was explored,with special emphasis on the nearshore waters(within 20 km from the coastline)prone to terrestrial influence.(1)Compared to the status before the action began(2011–2017),majority(87.3%)of the nearshore waters turned clear during the action implementation period(2018–2020),characterized by the elevated Z_(SD)by 11.6%±12.1%.(2)Nevertheless,the improvement was not spatially uniform,with higher Z_(SD)improvement in provinces of Hebei,Liaoning,and Shandong(13.2%±16.5%,13.2%±11.6%,10.8%±10.2%,respectively)followed by Tianjin(6.2%±4.7%).(3)Bayesian trend analysis found the abrupt Z_(SD)improvement in April 2018,which coincided with the initiation of UBIBSM,implying the water quality response to pollution control.More importantly,the independent statistics of land-based pollutant discharge also indicated that the significant reduction of terrestrial pollutant input during the UBIBSM action was the main driver of observed Z_(SD)improvement.(4)Compared with previous pollution control actions in the BS,UBIBSM was found to be the most successful one during the past 20 years,in terms of transparency improvement over nearshore waters.The presented results proved the UBIBSM-achieved remarkable water quality improvement,taking the advantage of long-term consistent and objective data record from satellite ocean color observation. | Xuyan Li Jinzhao Xiang Liudi Zhu Zhibin Yang Ting Wei Bing Mu Xiaobo Zhang Tingwei Cui | 2023 | Acta Oceanologica Sinica2023，42，12： | 0 |
| 10 | Shipborne oceanic high-spectral-resolution lidar for accurate estimation of seawater depth-resolved optical properties显示文摘Lidar techniques present a distinctive ability to resolve vertical structure of optical properties within the upper water column at both day-and night-time.However,accuracy challenges remain for existing lidar instruments due to the ill-posed nature of elastic backscatter lidar retrievals and multiple scattering.Here we demonstrate the high performance of,to the best of our knowledge,the first shipborne oceanic high-spectral-resolution lidar(HSRL)and illustrate a multiple scattering correction algorithm to rigorously address the above challenges in estimating the depth-resolved diffuse attenuation coefficient Kd and the particulate backscattering coefficient bbp at 532 nm.HSRL data were collected during day-and night-time within the coastal areas of East China Sea and South China Sea,which are connected by the Taiwan Strait.Results include vertical profiles from open ocean waters to moderate turbid waters and first lidar continuous observation of diel vertical distribution of thin layers at a fixed station.The root-mean-square relative differences between the HSRL and coincident in situ measurements are 5.6%and 9.1%for Kd and bbp,respectively,corresponding to an improvement of 2.7-13.5 and 4.9-44.1 times,respectively,with respect to elastic backscatter lidar methods.Shipborne oceanic HSRLs with high performance are expected to be of paramount importance for the construction of 3D map of ocean ecosystem. | Yudi Zhou Yang Chen Hongkai Zhao Cedric Jamet Davide Dionisi Malik Chami Paolo Di Grolamo James H.Churnside Aleksey Malinka Huade Zhao Dajun Qiu Tingwei Cui Qun Liu Yatong Chen Sornsiri Phongphattarawat Nanchao Wang Sijie Chen Peng Chen Ziwei Yao Chengfeng Le Yuting Tao Peituo Xu Xiaobin Wang Binyu Wang Feitong Chen Chuang Ye Kai Zhang Chong Liu Dong Liu | 2022 | Light(Science & Applications)2022，11，10： | 0 |
| 11 | Unprecedent green macroalgae bloom:mechanism and implication to disaster prediction and prevention显示文摘Green macroalgae bloom(GMB),with the dominant species of Ulva prolifera,has regularly occurred since 2007 along the China coast.Although disaster prevention and control achieved favorable results in 2020,the satellite-observed GMB annual maximum coverage(AMC)rebounded sharply in 2021 to an unprecedented level.The reasons for this rebound and the significant interannual variability over past 15 years are still open questions.Here,by using long-term time-series(2007-2022)optical and Synthetic Aperture Radar satellite observations(1000+scenes),meteorological data and water quality statistics,the mechanism analysis was performed by exploring effects from natural factors and human activities.Two key determinants for AMC are successfully identified from numerous potential factors which are the macroalgae distribution in a key area(the Subei Shoal)during a critical period(from April to May 20)and the nutrient availability.Furthermore,by using these two parameters,a novel model for AMC prediction(R^(2)=0.87,p<0.01)is proposed and independently validated,which can reasonably explain the significant interannual variability(2014-2021)and agree well with the latest observation in 2022(percentage difference 12%).Finally,suggestions are proposed for future disaster prevention and alleviation.This work may aid future bloom prediction and management measure optimization. | Mengmeng Cao Xuyan Li Tingwei Cui Xinliang Pan Yan Li Yanlong Chen Ning Wang Yanfang Xiao Xingai Song Yuzhu Xu Runa A Bing Mu Song Qing Rongjie Liu Wenjing Zhao Yuhai Bao Jie Zhang Lan Wei | 2023 | International Journal of Digital Earth2023，16，1： | 0 |
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