Zobrazeno 1 - 10
of 62
pro vyhledávání: '"JAROMIR JAKACKI"'
Autor:
Malgorzata Stramska, Jaromir Jakacki
Publikováno v:
Oceanologia, Vol 66, Iss 2, Pp 365-380 (2024)
In situ, satellite and reanalysis data from numerical models were used to study the characteristic features of Chl variability in the Baltic Sea. The analysis is focused on the years 2003–2020 when regular observations of ocean color with the MODIS
Externí odkaz:
https://doaj.org/article/d8697914010e4aee83157ebe516aaa88
Autor:
Hans Sanderson, Michał Czub, Jaromir Jakacki, Sven Koschinski, Jakob Tougaard, Signe Sveegaard, Torsten Frey, Patrik Fauser, Jacek Bełdowski, Aaron J. Beck, Anna Przyborska, Adam Olejnik, Bogdan Szturomski, Radoslaw Kicinski
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-9 (2023)
Abstract Armed conflicts have, in addition to severe impacts on human lives and infrastructure, also impacts on the environment, which needs to be assessed and documented. On September the 26th 2022, unknown perpetrators deliberately ruptured the two
Externí odkaz:
https://doaj.org/article/c1ce17903ff440f9b459388b62687b7a
Autor:
Hans Sanderson, Michał Czub, Jaromir Jakacki, Sven Koschinski, Jakob Tougaard, Signe Sveegaard, Torsten Frey, Patrik Fauser, Jacek Bełdowski, Aaron J. Beck, Anna Przyborska, Adam Olejnik, Bogdan Szturomski, Radoslaw Kicinski
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-1 (2023)
Externí odkaz:
https://doaj.org/article/f734afde7b464786bc52a1690f56e561
Publikováno v:
Remote Sensing, Vol 13, Iss 18, p 3572 (2021)
Using mathematical models alone to describe the changes in the parameters characterizing the analyzed reservoir may be insufficient due to the complexity of ocean circulation. One of the ways to improve the accuracy of models is to use data assimilat
Externí odkaz:
https://doaj.org/article/39f364f0664449e2b79106b21fcab5af
Publikováno v:
Oceanologia, Vol 59, Iss 4, Pp 473-495 (2017)
The Arctic Ocean is currently in transition towards a new, warmer state. Understanding the regional variability of oceanographic conditions is important, since they have a direct impact on local ecosystems. This work discusses the implementation of a
Externí odkaz:
https://doaj.org/article/5366462ade9b4b4abba1d2587342a10a
Publikováno v:
Remote Sensing, Vol 13, Iss 15, p 3049 (2021)
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. Be
Externí odkaz:
https://doaj.org/article/24501b6f64d44654ae361e3fc9dd427c
Publikováno v:
TASK Quarterly, Vol 22, Iss 4 (2018)
The Centre of Informatics – Tri-City Academic Supercomputer and Network (CI TASK) was founded over twenty-five years ago, in 1994. It was a very important initiative undertaken as a result of rapid development of computer technology and one of its
Externí odkaz:
https://doaj.org/article/6372d082bda2455ea1fa4b74af9b0d69
Publikováno v:
Oceanologia, Vol 55, Iss 3, Pp 519-541 (2013)
The paper describes the hydrodynamic part of the coupled ice-ocean model that also includes the ecosystem predictive model. The Baltic Sea model is based on the Community Earth System Model (CESM from NCAR – National Centre for Atmospheric Research
Externí odkaz:
https://doaj.org/article/f7f3177792c240839ecf3363c7427a94
Publikováno v:
Oceanologia, Vol 55, Iss 3, Pp 543-572 (2013)
The paper describes the ecohydrodynamic predictive model - the ecosystem module - for assessing the state of the Baltic marine environment and the Baltic ecosystem. The Baltic Sea model 3D CEMBS (the Coupled Ecosystem Model of the Baltic Sea) is base
Externí odkaz:
https://doaj.org/article/53ffecdb7cd041498f08c1cee7f9439d
Autor:
Lidia Dzierzbicka-Głowacka, Karol Kuliński, Anna Maciejewska, Jaromir Jakacki, Janusz Pempkowiak
Publikováno v:
Oceanologia, Vol 53, Iss 4, Pp 971-992 (2011)
This paper discusses predictions of particulate organic carbon (POC) concentrations in the southern Baltic Sea. The study is based on the one-dimensional Particulate Organic Carbon Model (1D POC), described in detail by Dzierzbicka-Głowacka et al. (
Externí odkaz:
https://doaj.org/article/9d6a90928efd4ee7b3ce561d93363a7a