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
来源：
WATER RESOURCES | 2019年 / 46卷 / 01期
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
  • [21] Long-term variations of wind and wave conditions in the coastal regions of the Black Sea
    Adem Akpınar
    Bilal Bingölbali
    Natural Hazards, 2016, 84 : 69 - 92
  • [22] Long-term variations of surface chlorophyll a and primary production in the open Black Sea
    Yunev, OA
    Vedernikov, VI
    Basturk, O
    Yilmaz, A
    Kideys, AE
    Moncheva, S
    Konovalov, SK
    MARINE ECOLOGY PROGRESS SERIES, 2002, 230 : 11 - 28
  • [23] Multi-assimilation methods based on AquaCrop model and remote sensing data
    Xing H.
    Li Z.
    Xu X.
    Feng H.
    Yang G.
    Chen Z.
    Xu, Xingang (xxgpaper@126.com), 1600, Chinese Society of Agricultural Engineering (33): : 183 - 192
  • [24] Long-term variations of wind and wave conditions in the coastal regions of the Black Sea
    Akpinar, Adem
    Bingolbali, Bilal
    NATURAL HAZARDS, 2016, 84 (01) : 69 - 92
  • [25] Characteristics of vegetation response to drought in the CONUS based on long-term remote sensing and meteorological data
    Zhong, Shaobo
    Sun, Ziheng
    Di, Liping
    ECOLOGICAL INDICATORS, 2021, 127 (127)
  • [26] Long-Term Macro-Scale Assessment of Wave Power of Black Sea by an Optimized Numerical Model
    Abdollahzadehmoradi, Yasin
    Ozger, Mehmet
    Altunkaynak, Abduesselam
    IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF CIVIL ENGINEERING, 2018, 42 (04) : 391 - 414
  • [27] Long-Term Macro-Scale Assessment of Wave Power of Black Sea by an Optimized Numerical Model
    Yasin Abdollahzadehmoradi
    Mehmet Özger
    Abdüsselam Altunkaynak
    Iranian Journal of Science and Technology, Transactions of Civil Engineering, 2018, 42 : 391 - 414
  • [28] Long-term biogeochemical variations in the southern South China Sea and adjacent seas: A model data analysis
    Marshal, Winfred
    Roseli, Nur Hidayah
    Amin, Roswati Md
    Akhir, Mohd Fadzil Bin Mohd
    JOURNAL OF SEA RESEARCH, 2025, 204
  • [29] Aerosol optics model for black carbon applicable to remote sensing, chemical data assimilation, and climate modelling
    Kahnert, Michael
    Kanngiesser, Franz
    OPTICS EXPRESS, 2021, 29 (07) : 10639 - 10658
  • [30] Role of aerial photos in compiling a long-term remote sensing data set
    Rango, Albert
    Laliberte, Andrea
    Winters, Craig
    Journal of Applied Remote Sensing, 2008, 2 (01)
12345