Studying Long-Term Variations in Black-Sea Ecosystem Based on the Assimilation of Remote Sensing Data in a Numerical Model

被引:5
|
作者
Dorofeev, V. L. [1 ]
Sukhikh, L. I. [1 ]
机构
[1] Russian Acad Sci, Marine Hydrophys Inst, Sevastopol 299011, Russia
关键词
marine ecosystem; simulation; data assimilation;
D O I
10.1134/S0097807819010032
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
The results of simulation of Black Sea ecosystem dynamics with the use of a three-dimensional interdisciplinary model are given. An important feature of the simulation is the assimilation of measurement data of satellite color scanners. The calculations were made for fifteen years starting from 1998. The result was a set of three-dimensional biogeochemical fields of the Black Sea on a regular grid with a time step of 1 day. The major biogeochemical parameters of the marine ecosystem were analyzed. The quality of the obtained fields was evaluated by comparison with the available data of in-situ measurements.
引用
收藏
页码:65 / 75
页数:11
相关论文
共 50 条
  • [41] Climate-induced long-term variations in ecosystem structure and atmosphere-ocean-ecosystem processes in the Yellow Sea and East China Sea
    Ma, Shuyang
    Liu, Yang
    Li, Jianchao
    Fu, Caihong
    Ye, Zhenjiang
    Sun, Peng
    Yu, Haiqing
    Cheng, Jiahua
    Tian, Yongjun
    PROGRESS IN OCEANOGRAPHY, 2019, 175 : 183 - 197
  • [42] Assessment of surface oil pollution risks of the southeastern Black Sea based on long-term satellite data
    Mityagina, Marina I.
    REMOTE SENSING OF THE OCEAN, SEA ICE, COASTAL WATERS, AND LARGE WATER REGIONS 2019, 2019, 11150
  • [43] Long-term Caspian Sea level variations based on the ERA-interim model and rivers discharge
    Ataei, Soheil H.
    Jabari, Amir Kh
    Khakpour, Amir Mohammad
    Neshaei, Seyed Ahmad
    Kebria, Dariush Yosefi
    INTERNATIONAL JOURNAL OF RIVER BASIN MANAGEMENT, 2019, 17 (04) : 507 - 516
  • [44] A Process-Based Model Integrating Remote Sensing Data for Evaluating Ecosystem Services
    Niu, Zhongen
    He, Honglin
    Peng, Shushi
    Ren, Xiaoli
    Zhang, Li
    Gu, Fengxue
    Zhu, Gaofeng
    Peng, Changhui
    Li, Pan
    Wang, Junbang
    Ge, Rong
    Zeng, Na
    Zhu, Xiaobo
    Lv, Yan
    Chang, Qingqing
    Xu, Qian
    Zhang, Mengyu
    Liu, Weihua
    JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS, 2021, 13 (06)
  • [45] Mixed layer in the Sea of Japan: numerical simulation and long-term data analysis
    Trusenkova, O
    Khrapchenkov, F
    Ishida, H
    ACTA OCEANOLOGICA SINICA, 2005, 24 (01) : 76 - 85
  • [46] Trends in Global Vegetative Drought From Long-Term Satellite Remote Sensing Data
    Xu, Zhanya
    Cao, Leiyu
    Zhong, Shaobo
    Liu, Geng
    Yang, Yongsheng
    Zhu, Shuang
    Luo, Xiangang
    Di, Liping
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2020, 13 : 815 - 826
  • [47] Remote Sensing Applications for the Ecosystem-based Management Process Implementation in the Romanian Black Sea Coastal Zone
    Mateescu, R. D.
    Spinu, A.
    Buga, L.
    Niculescu, D.
    Mihailov, E.
    Vlasceanu, E.
    2014 IEEE/OES BALTIC INTERNATIONAL SYMPOSIUM (BALTIC), 2014,
  • [48] Assessing Long-Term Changes in the Beach Width of Reef Islands Based on Temporally Fragmented Remote Sensing Data
    Mann, Thomas
    Westphal, Hildegard
    REMOTE SENSING, 2014, 6 (08): : 6961 - 6987
  • [49] Corn Biomass Estimation by Integrating Remote Sensing and Long-Term Observation Data Based on Machine Learning Techniques
    Geng, Liying
    Che, Tao
    Ma, Mingguo
    Tan, Junlei
    Wang, Haibo
    REMOTE SENSING, 2021, 13 (12)
  • [50] Long-Term Variability of Thermohaline Characteristics of the Azov Sea Based on the Numerical Eddy-Resolving Model
    Mizyuk, A. I.
    Korotaev, G. K.
    Grigoriev, A. V.
    Puzina, O. S.
    Lishaev, P. N.
    PHYSICAL OCEANOGRAPHY, 2019, 26 (05): : 438 - 450