scholarly journals Ice charting based on multispectral satellite data in the Baltic Sea

1994 ◽  
Vol 19 ◽  
pp. 121-125
Author(s):  
V.A. Golovko ◽  
M. Leppäranta ◽  
S. Kalliosaari ◽  
YU.S. Sedunov ◽  
A.M. Volkov
Keyword(s):  
Cluster Analysis ◽  
Image Segmentation ◽  
Satellite Imagery ◽  
Satellite Data ◽  
The Baltic Sea ◽  
Satellite Systems ◽  
Optical Scanner ◽  
Operational Space ◽  
The Baltic ◽  
Operational Data

Results are presented from an experiment concerning operational space-borne ice charting based on the Russian Ocean and Resource satellite systems. The surface truth consisted of routine operational data, helicopter-borne reconnaissance, and some ground measurements. Examples of the satellite imagery are given and identification of ice types is described. Cluster-analysis has been used for automatic image segmentation. The potential of these satellites in operational ice charting is discussed. A 160 m resolution optical scanner and a 2 km resolution radar are found to be very useful complements to the present routine system.

scholarly journals Ice charting based on multispectral satellite data in the Baltic Sea

1994 ◽  
Vol 19 ◽  
pp. 121-125
Author(s):  
V.A. Golovko ◽  
M. Leppäranta ◽  
S. Kalliosaari ◽  
YU.S. Sedunov ◽  
A.M. Volkov
Keyword(s):  
Cluster Analysis ◽  
Image Segmentation ◽  
Satellite Imagery ◽  
Satellite Data ◽  
The Baltic Sea ◽  
Satellite Systems ◽  
Optical Scanner ◽  
Operational Space ◽  
The Baltic ◽  
Operational Data

Results are presented from an experiment concerning operational space-borne ice charting based on the Russian Ocean and Resource satellite systems. The surface truth consisted of routine operational data, helicopter-borne reconnaissance, and some ground measurements. Examples of the satellite imagery are given and identification of ice types is described. Cluster-analysis has been used for automatic image segmentation. The potential of these satellites in operational ice charting is discussed. A 160 m resolution optical scanner and a 2 km resolution radar are found to be very useful complements to the present routine system.

scholarly journals Chlorophyll-a Variability during Upwelling Events in the South-Eastern Baltic Sea and in the Curonian Lagoon from Satellite Observations

2020 ◽  
Vol 12 (21) ◽  
pp. 3661
Author(s):  
Toma Dabuleviciene ◽  
Diana Vaiciute ◽  
Igor E. Kozlov
Keyword(s):  
Baltic Sea ◽  
Chlorophyll A ◽  
Satellite Data ◽  
Coastal Upwelling ◽  
Curonian Lagoon ◽  
The Baltic Sea ◽  
Chl A ◽  
Resolution Imaging ◽  
The Baltic ◽  
Eastern Baltic

Based on the analysis of multispectral satellite data, this work demonstrates the influence of coastal upwelling on the variability of chlorophyll-a (Chl-a) concentration in the south-eastern Baltic (SEB) Sea and in the Curonian Lagoon. The analysis of sea surface temperature (SST) data acquired by the Moderate Resolution Imaging Spectroradiometer (MODIS) onboard Aqua/Terra satellites, together with Chl-a maps from Medium Resolution Imaging Spectrometer (MERIS) onboard Envisat, shows a significant decrease of up to 40–50% in Chl-a concentration in the upwelling zone. This results from the offshore Ekman transport of more productive surface waters, which are replaced by cold and less-productive waters from deeper layers. Due to an active interaction between the Baltic Sea and the Curonian Lagoon which are connected through the Klaipeda Strait, coastal upwelling in the SEB also influences the hydrobiological conditions of the adjacent lagoon. During upwelling inflows, SST drops by approximately 2–8 °C, while Chl-a concentration becomes 2–4 times lower than in pre-upwelling conditions. The joint analysis of remotely sensed Chl-a and SST data reveals that the upwelling-driven reduction in Chl-a concentration leads to the temporary improvement of water quality in terms of Chl-a in the coastal zone and in the hyper-eutrophic Curonian Lagoon. This study demonstrates the benefits of multi-spectral satellite data for upscaling coastal processes and monitoring the environmental status of the Baltic Sea and its largest estuarine lagoon.

scholarly journals The Use of Satellite Data in the Operational 3D Coupled Ecosystem Model of the Baltic Sea (3D Cembs)

2016 ◽  
Vol 23 (1) ◽  
pp. 20-24 ◽  
Author(s):  
Artur Nowicki ◽  
Maciej Janecki ◽  
Mirosław Darecki ◽  
Piotr Piotrowski ◽  
Lidia Dzierzbicka-Głowacka
Keyword(s):  
Baltic Sea ◽  
Satellite Data ◽  
Computational Modelling ◽  
Automatic Monitoring ◽  
Ecosystem Model ◽  
Operational Mode ◽  
The Baltic Sea ◽  
Automatic Monitoring System ◽  
Wide Range ◽  
The Baltic

Abstract The objective of this paper is to present an automatic monitoring system for the 3D CEMBS model in the operational version. This predictive, eco hydrodynamic model is used as a tool to control the conditions and bio productivity of the Baltic sea environment and to forecast physical and ecological changes in the studied basin. Satellite-measured data assimilation is used to constrain the model and achieve higher accuracy of its results. 3D CEMBS is a version of the Community Earth System Model, adapted for the Baltic Sea. It consists of coupled ocean and ice models, working in active mode together with the ecosystem module. Atmospheric forecast from the UM model (Interdisciplinary Centre for Mathematical and Computational Modelling of the Warsaw University) are used as a forcing fields feed through atmospheric data model. In addition, river inflow of freshwater and nutrient deposition from 71 main rivers is processed by land model. At present, satellite data from AQUA MODIS, processed by the SatBałtyk project Operational System are used for the assimilation of sea surface temperature and chlorophyll a concentration. In the operational mode, 48-hour forecasts are produced at six-hour intervals, providing a wide range of hydrodynamic and biochemical parameters.

scholarly journals Characterization of OMI tropospheric NO<sub>2</sub> over the Baltic Sea region

2014 ◽  
Vol 14 (2) ◽  
pp. 2021-2042 ◽  
Author(s):  
I. Ialongo ◽  
J. Hakkarainen ◽  
N. Hyttinen ◽  
J.-P. Jalkanen ◽  
L. Johansson ◽  
...  
Keyword(s):  
Baltic Sea ◽  
Satellite Data ◽  
High Latitudes ◽  
The Baltic Sea ◽  
Baltic Sea Region ◽  
Tropospheric No2 ◽  
The Baltic ◽  
Sea Area ◽  
The City

Abstract. Satellite-based data are very important for air quality applications in the Baltic Sea area, because they provide information on air pollution over sea and there where ground-based network and aircraft measurements are not available. Both the emissions from urban sites over land and ships over sea, contribute to the tropospheric NO2 levels. The tropospheric NO2 monitoring at high latitudes using satellite data is challenging because of the reduced light hours in winter and the snow-covered surface, which make the retrieval complex, and because of the reduced signal due to low Sun. This work presents a detailed characterization of the tropospheric NO2 columns focused on part of the Baltic Sea region using the Ozone Monitoring Instrument (OMI) tropospheric NO2 standard product. Previous works have focused on larger seas and lower latitudes. The results showed that, despite the regional area of interest, it is possible to distinguish the signal from the main coastal cities and from the ships by averaging the data over a seasonal time range. The summertime NO2 emission and lifetime values (E = (1.0 ± 0.1) × 1028 molec. and τ = (3.0 ± 0.5) h, respectively) in Helsinki were estimated from the decay of the signal with distance from the city center. The method developed for megacities was successfully applied to a smaller scale source, in both size and intensity (i.e., the city of Helsinki), which is located at high latitudes (∼60° N). The same methodology could be applied to similar scale cities elsewhere, as far as they are relatively isolated from other sources. The transport by the wind plays an important role in the Baltic Sea area. The NO2 spatial distribution is mainly determined by the contribution of strong westerly winds, which dominate the wind patterns during summer. The comparison between the emissions from model calculations and OMI NO2 tropospheric columns confirmed the applicability of satellite data for ship emission monitoring. In particular, both the emission data and the OMI observations showed similar year-to-year variability, with a drop in year 2009, corresponding to the effect of the economical crisis.

scholarly journals Using satellite data to estimate partial pressure of CO2in the Baltic Sea

2016 ◽  
Vol 121 (3) ◽  
pp. 1002-1015 ◽  
Author(s):  
Gaëlle Parard ◽  
Anastase Alexandre Charantonis ◽  
Anna Rutgersson
Keyword(s):  
Partial Pressure ◽  
Baltic Sea ◽  
Satellite Data ◽  
The Baltic Sea ◽  
The Baltic

scholarly journals Use of Satellite Data in Monitoring of Hydrophysical Parameters of the Baltic Sea Environment

2015 ◽  
Vol 22 (3) ◽  
pp. 36-42 ◽  
Author(s):  
Adam Krężel ◽  
Katarzyna Bradtke ◽  
Agnieszka Herman
Keyword(s):  
Spatial Distribution ◽  
Oil Spill ◽  
Satellite Data ◽  
Input Data ◽  
Sea Surface ◽  
The Baltic Sea ◽  
Detection And Identification ◽  
Fast Processing ◽  
The Baltic ◽  
Intensive Development

Abstract Intensive development of infrastructure for fast processing of outsized amount of space-borne data enables now to use the satellite data for operational controlling the state of its environment. In our presentation we show some examples of analysis of processes in marine environment which are possible due to satellite data and algorithms of its processing developed in SatBaltic Project. It concerns supporting of modelling of solar energy inflow to the sea with space-borne input data, identification and analysis of sea ice cover, supporting of oil spill detection, and identification of phenomena which modify spatial distribution of the sea surface temperature.

Estimation of nuclear power plants influence on the Baltic Sea thermal state by using infrared thermal satellite data

2000 ◽  
Vol 21 (12) ◽  
pp. 2479-2496 ◽  
Author(s):  
V. I. Gorny ◽  
S. G. Kritsuk ◽  
I. Sh. Latypov ◽  
A. A. Tronin ◽  
B. V. Shilin
Keyword(s):  
Baltic Sea ◽  
Satellite Data ◽  
Nuclear Power ◽  
Power Plants ◽  
Nuclear Power Plants ◽  
Thermal State ◽  
The Baltic Sea ◽  
The Baltic

scholarly journals Comparisons of Satellite and Modeled Surface Temperature and Chlorophyll Concentrations in the Baltic Sea with In Situ Data

2021 ◽  
Vol 13 (15) ◽  
pp. 3049
Author(s):  
Malgorzata Stramska ◽  
Marta Konik ◽  
Paulina Aniskiewicz ◽  
Jaromir Jakacki ◽  
Miroslaw Darecki
Keyword(s):  
Baltic Sea ◽  
Satellite Data ◽  
In Situ Measurements ◽  
Data Sets ◽  
The Baltic Sea ◽  
Data Set ◽  
In Situ Data ◽  
The Baltic ◽  
Good Agreement

Among the most frequently used satellite data are surface chlorophyll concentration (Chl) and temperature (SST). These data can be degraded in some coastal areas, for example, in the Baltic Sea. Other popular sources of data are reanalysis models. Before satellite or model data can be used effectively, they should be extensively compared with in situ measurements. Herein, we present results of such comparisons. We used SST and Chl from model reanalysis and satellites, and in situ data measured at eight open Baltic Sea stations. The data cover time interval from 1 January 1998 to 31 December 2019, but some satellite data were not always available. Both the model and the satellite SST data had good agreement with in situ measurements. In contrast, satellite and model estimates of Chl concentrations presented large errors. Modeled Chl presented the lowest bias and the best correlation with in situ data from all Chl data sets evaluated. Chl estimates from a regionally tuned algorithm (SatBaltic) had smaller errors in comparison with other satellite data sets and good agreement with in situ data in summer. Statistics were not as good for the full data set. High uncertainties found in chlorophyll satellite algorithms for the Baltic Sea highlight the importance of continuous regional validation of such algorithms with in situ data.

Comparison sea ice data for Baltic Sea region based on modelling simulations and remote sensing measurements. 

2021 ◽  
Author(s):  
Jaromir Jakacki ◽  
Maciej Muzyka ◽  
Marta Konik ◽  
Anna Przyborska ◽  
Małgorzata Stramska
Keyword(s):  
Sea Ice ◽  
Baltic Sea ◽  
Satellite Data ◽  
Ice Thickness ◽  
Data Sets ◽  
Operational Mode ◽  
The Baltic Sea ◽  
Baltic Sea Region ◽  
Atmospheric Data ◽  
The Baltic

&lt;p&gt;A comprehensive analysis of the results of remote measurements of the Baltic Sea ice cover has been performed. For this purpose, two modelling integrations were made. Two modelling simulations have been compared with two satellite data sets. As a modelling tool Community Ice Code (CICE) was implemented for Baltic Sea region. It was forced by two independent atmospheric data sets.&amp;#160; In the first simulation, the eBalticGrid system was the source of the atmospheric data, which has been operating in operational mode for almost five years. The second simulation used data from the SatBa&amp;#322;tyk system. The satellite data differed in the method of evaluating the quality of the results - in some cases, the result was supervised by ice experts, and in the other, the quality was assessed automatically. &amp;#160;Comparisons with model we have performed using the daily ice concentration and ice thickness maps over the Baltic Sea. Datasets are produced by the Finnish Meteorological Institute (FMI) and disseminated through the central dissemination unit: Copernicus Marine Environment Monitoring Service (CMEMS, http://marine.copernicus.eu/services-portfolio/ access-to-products/). The analysis showed an unnatural increase in the average ice thickness obtained from satellite data at the end of the ice season, for selected regions. The possibility of water appearance on the surface of the analyzed cells was assumed as the source of the potential error, which has a significant impact on the optical properties of the surface. It was proposed to eliminate cells containing a specific surface wetting fraction. However, the results do not allow this approach to be considered correct and therefore the work needs to be continued.&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;br&gt;&lt;/p&gt;

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