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Дата внесения публикации в базу 02-10-2024 11:58 не попадает в период стимулирования 01-06-2025 – 31-05-2026
КБПР (методика 2025 г.) = 7.501
Количество соавторов публикации - 6
Публикация в изданиях из Белого списка уровень: 2, K=10
Публикация в изданиях из Белого списка уровень: 2, K=10
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Чурилова Т. Я.: количество аффилиаций - 1, вклад в КБПР публикации:
формула: K/(Nсоавторов*Nаффил) = 10/(6*1) = 1.667 -
Скороход Е. Ю.: количество аффилиаций - 1, вклад в КБПР публикации:
формула: K/(Nсоавторов*Nаффил) = 10/(6*1) = 1.667 -
Моисеева Н. А.: количество аффилиаций - 1, вклад в КБПР публикации:
формула: K/(Nсоавторов*Nаффил) = 10/(6*1) = 1.667 -
Ефимова Т. В.: количество аффилиаций - 1, вклад в КБПР публикации:
формула: K/(Nсоавторов*Nаффил) = 10/(6*1) = 1.667 -
Бучельников А. С.: количество аффилиаций - 2, вклад в КБПР публикации:
формула: K/(Nсоавторов*Nаффил) = 10/(6*2) = 0.833
Статья в периодическом издании
Assessment of the accuracy of Sentinel-3 OLCI L2 products retrieved by standard and regional algorithms for ecological monitoring of the Black Sea coastal and shelf waters
| DOI | https://doi.org/10.1016/j.rsma.2024.103847 |
|---|---|
| Язык | Английский |
| Журнал | Regional Studies in Marine Science ISSN: 2352-4855; Онлайн ISSN: – |
| Год | 2024 |
| Выходные данные | том: 79; статья: 103847; страниц (электронный ресурс): 14 |
| Авторы | |
| Даты |
Поступила в редакцию: 07.02.2024 После доработки: 11.09.2024 Принята к публикации: 23.09.2024 Опубликована онлайн: 24.09.2024 |
| Абстракт | The Black Sea is an inland sea strongly affected by climate change and anthropogenic activities. Regular monitoring is required to keep the sea "healthy" and productive. The Ocean Color (OC4), neural network of the Inverse Radiative Transfer Model (NN), generalized inherent optical properties (GIOP) algorithms and a combination of two algorithms of the band ratio and the color index (OCI) were validated using a database of colocated (day-to-day) measurements (145 matchup pairs) and the OLCI onboard Sentinel-3A/3B data. In situ data were collected around the Crimean Peninsula from August 2018 to February 2022. Comparison with in situ data showed, that these algorithms performed imperfectly retrieving chlorophyll a concentration (Chl-a), light absorption coefficient by colored detrital matter (aCDM ) and phytoplankton, which limited the use of these standard satellite products. We validated regional three-band algorithm (Chl-CDM). Statistical analyses demonstrated that the Chl-CDM algorithm provided better performance for aCDM (490) and total non-water absorption coefficient (atot (490)) compared to standard algorithms. The Chl-CDM algorithm is suitable for all seasons due to seasonality in absorption parameterization used. Analysis showed limitation of applicability of the current version of Chl-CDM algorithm, namely underestimation of retrieval products in waters with relatively high content of the optically active components (atot (490) ≥ 0.1 m 1), which is connected with the particular spectral bands used. The reasons of observed underestimation of the products in summer and in early autumn might be caused by increasing water turbidity due to coccolithophore blooming. Additional satellite products (euphotic zone and spectral features of downwelling irradiance) were proposed. The Chl-CDM algorithm provides a major step forward for simultaneous retrieval of multiple inherent optical properties and two additionally proposed water quality indicators. This study highlights the need for further improvement of current version of the Chl-CDM algorithm to spread algorithm applicability to waters with high content of optically active components. Ключевые слова: chlorophyll-a, colored detrital matter, light absorption coefficient, performance assessment, standard and regional three-band CHL-CDM algorithms, the Black Sea |
| Сведения о финансировании, указанные в публикации | This research was funded by state assignments № 124030100106-2 and FNNN-2024-0012 “Analysis, diagnosis and real-time forecast of the state of hydrophysical and hydrochemical fields of marine water areas based on mathematical modelling using data from remote and in situ methods of measurements“. |
| URL | https://www.sciencedirect.com/science/article/pii/S2352485524004808 |
| Дополнительные сведения |
НИС «Профессор Водяницкиий»:
...In addition to the monitoring data, we used the results of studies carried out during two research cruises on Journal Pre-proof R/V “Professor Vodyanitsky” (PV106 and PV113) in the coastal and shelf waters (seafloor depth < 100 m) around the Crimean Peninsula... (стр. 3) |
Запись создана: 02-10-2024 11:58
Последнее изменение: 29-06-2025 16:42
Библиографическая ссылка:
Churilova T., Skorokhod E., Suslin V., Moiseeva N., Efimova T., Buchelnikov A. Assessment of the accuracy of Sentinel-3 OLCI L2 products retrieved by standard and regional algorithms for ecological monitoring of the Black Sea coastal and shelf waters // Regional Studies in Marine Science. 2024. Vol. 79. Art. no. 103847 (14 p.). https://doi.org/10.1016/j.rsma.2024.103847
[WoS 2.100/Q2][SCOPUS 0.523/Q2][БС 2]
Churilova T., Skorokhod E., Suslin V., Moiseeva N., Efimova T., Buchelnikov A. Assessment of the accuracy of Sentinel-3 OLCI L2 products retrieved by standard and regional algorithms for ecological monitoring of the Black Sea coastal and shelf waters // Regional Studies in Marine Science. 2024. Vol. 79. Art. no. 103847 (14 p.). https://doi.org/10.1016/j.rsma.2024.103847
[WoS 2.100/Q2][SCOPUS 0.523/Q2][БС 2]
Экспертное заключение: № 267, 2024
Белый список
Индексация на момент включения в базу:- Уровень БС
- 2
Web of Science
- Статус
- Да
- Импакт-фактор/Квартиль(год)
- 2.100/Q2 (2023)
- Идентификатор
- 001347774900001
- Статус
- Да
- Импакт-фактор/Квартиль(год)
- 0.523/Q2 (2023)
- Идентификатор
- 2-s2.0-85205436207
В публикации указано госзадание:
№ 124030100106-2 «Исследование региональных особенностей биооптических показателей водоемов как основы дешифрования данных дистанционного зондирования для оценки мультимасштабной изменчивости первично-продукционных характеристик пелагических экосистем»
Тэги:
НИС Профессор Водяницкий
pv106
pv113