scholarly journals Compressed Sensing of 3D Marine Environment Monitoring Data Based on Spatiotemporal Correlation

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 32634-32649
Author(s):  
Ge Liu ◽  
Guosheng Rui ◽  
Wenbiao Tian ◽  
Liyao Wu ◽  
Tiantian Cui ◽  
...  
Keyword(s):  
Compressed Sensing ◽  
Marine Environment ◽  
Monitoring Data ◽  
Environment Monitoring ◽  
Spatiotemporal Correlation ◽  
Marine Environment Monitoring

Implementation of Marine Environment Monitoring Data Quality Control System

2014 ◽  
Vol 926-930 ◽  
pp. 4254-4257 ◽  
Author(s):  
Jin Xu ◽  
Da Tao Yu ◽  
Zhong Jie Yuan ◽  
Bo Li ◽  
Zi Zhou Xu
Keyword(s):  
Quality Control ◽  
Control System ◽  
Data Quality ◽  
Marine Environment ◽  
Quality Control System ◽  
Monitoring Data ◽  
Environment Monitoring ◽  
Data Quality Control ◽  
Labor Costs ◽  
Marine Environment Monitoring

Traditional artificial perception quality control methods of marine environment monitoring data have many disadvantages, including high labor costs and mistakes of data review. Based on GIS spatial analysis technology, Marine Environment Monitoring Data Quality Control System is established according to the Bohai Sea monitoring regulation. In the practical application process, it plays the role of improving efficiency of quality control, saving the manpower and financial resources. It also provides an important guarantee for the comprehensive analysis and management of marine environment data.

scholarly journals Implementation and validation of a new operational wave forecasting system of the Mediterranean Monitoring and Forecasting Centre in the framework of the Copernicus Marine Environment Monitoring Service

2018 ◽  
Vol 18 (10) ◽  
pp. 2675-2695 ◽  
Author(s):  
Michalis Ravdas ◽  
Anna Zacharioudaki ◽  
Gerasimos Korres
Keyword(s):  
Mediterranean Sea ◽  
Marine Environment ◽  
Model Performance ◽  
Environment Monitoring ◽  
Marine Research ◽  
Forecasting System ◽  
The Mediterranean ◽  
Marine Environment Monitoring ◽  
Monitoring Service ◽  
Wave Forecasting

Abstract. Within the framework of the Copernicus Marine Environment Monitoring Service (CMEMS), an operational wave forecasting system for the Mediterranean Sea has been implemented by the Hellenic Centre for Marine Research (HCMR) and evaluated through a series of preoperational tests and subsequently for 1 full year of simulations (2014). The system is based on the WAM model and it has been developed as a nested sequence of two computational grids to ensure that occasional remote swell propagating from the North Atlantic correctly enters the Mediterranean Sea through the Strait of Gibraltar. The Mediterranean model has a grid spacing of 1∕24∘. It is driven with 6-hourly analysis and 5-day forecast 10 m ECMWF winds. It accounts for shoaling and refraction due to bathymetry and surface currents, which are provided in offline mode by CMEMS. Extensive statistics on the system performance have been calculated by comparing model results with in situ and satellite observations. Overall, the significant wave height is accurately simulated by the model while less accurate but reasonably good results are obtained for the mean wave period. In both cases, the model performs optimally at offshore wave buoy locations and well-exposed Mediterranean subregions. Within enclosed basins and near the coast, unresolved topography by the wind and wave models and fetch limitations cause the wave model performance to deteriorate. Model performance is better in winter when the wave conditions are well defined. On the whole, the new forecast system provides reliable forecasts. Future improvements include data assimilation and higher-resolution wind forcing.

scholarly journals Designing innovative services for marine environment monitoring using earth-observation tools in the frame of the pre-commercial procurement project MARINE-EO

2018 ◽  
Author(s):  
Ioanna Varkitzi ◽  
Anestis Trypitsidis ◽  
Alkis Astyakopoulos ◽  
Constantinos Rizogiannis ◽  
Beatriz Gómez Miguel ◽  
...  
Keyword(s):  
Marine Environment ◽  
Earth Observation ◽  
Environment Monitoring ◽  
Observation Tools ◽  
Marine Environment Monitoring

A Study of the Marine Environment Monitoring Technology

2020 ◽  
Vol 107 (sp1) ◽  
pp. 189
Author(s):  
Ruihan Cheng ◽  
Shasha Wang ◽  
Lin Sun ◽  
Yuan Gao
Keyword(s):  
Marine Environment ◽  
Environment Monitoring ◽  
Monitoring Technology ◽  
Marine Environment Monitoring
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