scholarly journals Sea ice phenology in the Caspian Sea

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Forough Fendereski
Keyword(s):  
Sea Ice ◽  
Caspian Sea ◽  
Temporal Variations ◽  
Trophic Levels ◽  
Spatial And Temporal Patterns ◽  
The Caspian Sea ◽  
Ice Melt ◽  
Covered Area ◽  
Phonological Features ◽  
Caspian Seal

To understand the spatial and temporal variations in the extent and timing of sea ice in the Caspian Sea (CS), 15 years of sea ice presence and its phenology (freeze-up, break-up, and duration) were studied in the Northern CS (NCS) for a period from 2004 to 2018. This study indicated that the percentage of sea ice covered area in the CS showed fluctuations ranging from 54.2% in 2004 to more than 89% in 2006 and 2008. This study, furthermore, found regional differences within the NCS in sea ice phonological features during 2004 to 2018. Specifically, earlier sea ice formation, later ice melt, and longer ice periods were observed in the eastern than the western NCS. Noticeable interannual changes were also observed in the timing and duration of the NCS ice (2004-2018). However, most parts of the NCS did not show significant trends (P>0.05) in the formation, decay, and duration of sea ice and their interannual variability. The observed spatial and temporal patterns in the CS ice can have implications for phytoplankton blooms and higher trophic levels, such as fish and endangered Caspian seal populations and merits further investigation.

Satellite Monitoring of Sea Ice Cover and Water Parameters for the Caspian Sea

2018 ◽  
Vol 43 (10) ◽  
pp. 686-696 ◽  
Author(s):  
V. V. Asmus ◽  
E. V. Vasilenko ◽  
V. V. Zatyagalova ◽  
N. P. Ivanova ◽  
V. A. Krovotyntsev ◽  
...  
Keyword(s):  
Sea Ice ◽  
Caspian Sea ◽  
Ice Cover ◽  
Satellite Monitoring ◽  
The Caspian Sea ◽  
Water Parameters

Velocity fields in Northern Caspian near Jayik (Ural) river delta

2020 ◽  
Author(s):  
Vadim Rezvov ◽  
Peter Zavialov ◽  
Mikhail Krinitskiy
Keyword(s):  
Water Body ◽  
Caspian Sea ◽  
Socioeconomic Development ◽  
Oil And Gas ◽  
Climatic Variability ◽  
River Delta ◽  
Shelf Zone ◽  
Spatial And Temporal Patterns ◽  
The Caspian Sea ◽  
Inland Water Body

<p>The Caspian Sea is the largest inland water body on the Earth and a unique object for analysis. It is of great importance for the socioeconomic development of bordering countries. Unique fish resources and oil and gas fields are projected to provide a significant source of food and economic prosperity to the Caspian region, as well as energy to many parts of the world. National and transnational oil and gas corporations are involved in the utilization of the commercially attractive Caspian natural resources. The Caspian Sea has been influenced by climate change and anthropogenic disturbance during recent decades, yet the scientific understanding of this water body remains poor. Climatic variability of water circulation in the Caspian Sea remains unclear. Traditionally, currents in the Caspian Sea have been investigated by numerical methods. Instrumental observations of the currents in the Caspian Sea are mostly carried out in the shelf zone. Available data cover very short periods and reflect variability only in synoptic and higher frequency of the sea dynamics. In this work, water velocity data based on SeaHorse equipment is under consideration. Three stations were in northern Caspian, area adjacent to Jayik (Ural) River delta. In both cases, the instruments were deployed in 2016 and 2017 at the point 46.782N, 51.384E, depth about 3 m. In this work, we will present the preliminary results of our study of the field observations we gathered in these points. We also present the analysis of the potential drivers for the spatial and temporal patterns of the measured currents velocity.</p>

Sea-ice monitoring over the Caspian Sea using geostationary satellite data

2011 ◽  
Vol 32 (6) ◽  
pp. 1575-1593 ◽  
Author(s):  
Marouane Temimi ◽  
Peter Romanov ◽  
Hosni Ghedira ◽  
Reza Khanbilvardi ◽  
Kim Smith
Keyword(s):  
Sea Ice ◽  
Satellite Data ◽  
Caspian Sea ◽  
Geostationary Satellite ◽  
The Caspian Sea

Remote sensing of sea ice in the Caspian Sea

2019 ◽  
Author(s):  
Olga Y. Lavrova ◽  
Andrey G. Kostianoy ◽  
Marina I. Mityagina ◽  
Alexey Ya Strochkov ◽  
Tatiana Y. Bocharova
Keyword(s):  
Remote Sensing ◽  
Sea Ice ◽  
Caspian Sea ◽  
The Caspian Sea

scholarly journals Evaluation of rate of pathological changes in parenchymal organs for embryo of caspian seal Phoca caspica in modern conditions of the ecosystem in the Caspian Sea

2014 ◽  
Vol 178 (3) ◽  
pp. 191-198
Author(s):  
Victoria V. Volodina ◽  
Maria P. Grushko ◽  
Nadezhda N. Fedorova
Keyword(s):  
Caspian Sea ◽  
Pathological Changes ◽  
The Caspian Sea ◽  
Caspian Seal

Pathological changes of the caspian seal fetus caused by negative processes in the mother’s organism under influence of disease and harmful environments are investigated. For that, parenchymal organs of the fetus are examined by histological methods. Active replacement of the fetus’ tissues by conjunctive tissue is detected in all organs, the most profound abnormalities are registered in the kidney and liver

scholarly journals Sea ice phenology and primary productivity pulses shape breeding success in Arctic seabirds

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Francisco Ramírez ◽  
Arnaud Tarroux ◽  
Johanna Hovinen ◽  
Joan Navarro ◽  
Isabel Afán ◽  
...  
Keyword(s):  
Sea Ice ◽  
Barents Sea ◽  
Regional Scale ◽  
High Arctic ◽  
Trophic Levels ◽  
The Arctic ◽  
Ice Melt ◽  
Circumpolar Arctic ◽  
Suitable Framework ◽  
Ice Phenology

Abstract Spring sea ice phenology regulates the timing of the two consecutive pulses of marine autotrophs that form the base of the Arctic marine food webs. This timing has been suggested to be the single most essential driver of secondary production and the efficiency with which biomass and energy are transferred to higher trophic levels. We investigated the chronological sequence of productivity pulses and its potential cascading impacts on the reproductive performance of the High Arctic seabird community from Svalbard, Norway. We provide evidence that interannual changes in the seasonal patterns of marine productivity may impact the breeding performance of little auks and Brünnich’s guillemots. These results may be of particular interest given that current global warming trends in the Barents Sea region predict one of the highest rates of sea ice loss within the circumpolar Arctic. However, local- to regional-scale heterogeneity in sea ice melting phenology may add uncertainty to predictions of climate-driven environmental impacts on seabirds. Indeed, our fine-scale analysis reveals that the inshore Brünnich’s guillemots are facing a slower advancement in the timing of ice melt compared to the offshore-foraging little auks. We provide a suitable framework for analyzing the effects of climate-driven sea ice disappearance on seabird fitness.

scholarly journals Modelling the Caspian Sea and its catchment area using a coupled regional atmosphere-ocean model (RegCM4-ROMS): model design and preliminary results

2013 ◽  
Vol 6 (2) ◽  
pp. 283-299 ◽  
Author(s):  
U. U. Turuncoglu ◽  
G. Giuliani ◽  
N. Elguindi ◽  
F. Giorgi
Keyword(s):  
Sea Ice ◽  
Caspian Sea ◽  
Coupled Model ◽  
Ocean Model ◽  
Lake Area ◽  
The Caspian Sea ◽  
Surface Salinity ◽  
Sea Ice Extent ◽  
Near Surface ◽  
Lake Model

Abstract. We describe the development of a coupled regional atmosphere-ocean model (RegCM4-ROMS) and its implementation over the Caspian Sea basin. The coupled model is run for the period 1999–2008 (after a spin up of 4 yr) and it is compared to corresponding stand alone model simulations and a simulation in which a distributed 1d lake model is run for the Caspian Sea. All model versions show a good performance in reproducing the climatology of the Caspian Sea basin, with relatively minor differences across them. The coupled ROMS produces realistic, although somewhat overestimated, Caspian Sea Surface Temperature (SST), with a considerable improvement compared to the use of the simpler coupled lake model. Simulated near surface salinity and sea currents are also realistic, although the upwelling over the eastern coastal regions is underestimated. The sea ice extent over the shallow northern shelf of the Caspian Sea and its seasonal evolution are well reproduced, however, a significant negative bias in sea-ice fraction exists due to the relatively poor representation of the bathymetry. ROMS also calculates the Caspian Sea Level (CSL), showing that for the present experiment excessive evaporation over the lake area leads to a drift in estimated CSL. Despite this problem, which requires further analysis due to many uncertainties in the estimation of CSL, overall the coupled RegCM4-ROMS system shows encouraging results in reproducing both the climatology of the region and the basic characteristics of the Caspian Sea.

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