Mapping coastal upwelling in the Baltic Sea from 2002 to 2020 using remote sensing data

被引:4
作者
Zhang, Shuping [1 ,2 ]
Wu, Lichuan [1 ]
Arnqvist, Johan [1 ]
Hallgren, Christoffer [1 ]
Rutgersson, Anna [1 ]
机构
[1] Uppsala Univ, Dept Earth Sci, S-75236 Uppsala, Sweden
[2] Chinese Acad Sci, Northwest Inst Plateau Biol, CN-810001 Xining, Peoples R China
关键词
Coastal upwelling (CU); Remote sensing; SST; MODIS; The Baltic Sea; GULF; FINLAND; EVENT; MODIS;
D O I
10.1016/j.jag.2022.103061
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
Coastal upwelling (CU) is an elementary phenomenon in coastal waters. CU brings up deep, often cold, saline water rich of nutrients and carbon, and plays a vital role in local air-sea exchange of gases and heat, marine ecosystem maintenance, and ocean physical dynamics. In this study, regional CU in the Baltic Sea was mapped on the daily MODIS SST from 2002 to 2020, using a method modified developed by Lehmann et al. (2012). Based on the individual CU event detected, the spatiotemporal distribution of CU in the Baltic Sea was depicted, the CUwind relationship and potential CU drivers in the Baltic Sea on different temporal scale were analyzed. The results found that: 1) The modified approach can effectively delineate the CUs formed by upwelled cold water; 2) The 19 zones delineated with frequent CU occurrences aligned well with previous study and the overall CU occurrence spatial heterogeneity was casted by the different directional relationship between the local coastline and wind; 3) The occurrences of the CU detected in this study showed strong seasonality and primarily driven by SST seasonality and then intensified by local wind in fall; 4) The interannual difference of CU occurrences were affected by heatwaves and its monthly timing. The CUs detected in this study have a high potential for facilitating investigations with respect to oceanic modeling, air-sea exchange of heat and greenhouse gases, and physical dynamics in the Baltic Sea.
引用
收藏
页数:12
相关论文
共 34 条
[1]  
[Anonymous], 2014, MOD RES IM SPECTR MO
[2]   Coastal upwelling will intensify along the Baja California coast under climate change by mid-21st century: Insights from a GCM-nested physical-NPZD coupled numerical ocean model [J].
Arellano, Beatriz ;
Rivas, David .
JOURNAL OF MARINE SYSTEMS, 2019, 199
[3]   An improved coastal upwelling index from sea surface temperature using satellite-based approach - The case of the Canary Current upwelling system [J].
Benazzouz, Aissa ;
Mordane, Soumia ;
Orbi, Abdellatif ;
Chagdali, Mohamed ;
Hilmi, Karim ;
Atillah, Abderrahman ;
Lluis Pelegri, Josep ;
Demarcq, Herve .
CONTINENTAL SHELF RESEARCH, 2014, 81 :38-54
[4]  
Bychkova I.A., 1988, Meteorologiya i Gidrologiya, V10, P91
[5]   Influence of a River Plume on Coastal Upwelling Dynamics: Importance of Stratification [J].
Chen, Zhaoyun ;
Jiang, Yuwu ;
Wang, Jia ;
Gong, Wenping .
JOURNAL OF PHYSICAL OCEANOGRAPHY, 2019, 49 (09) :2345-2363
[6]   A study of Benguela upwelling system using different upwelling indices derived from remotely sensed data [J].
Chen, Zhaoyun ;
Yan, Xiao-Hai ;
Jo, Young-Heon ;
Jiang, Lide ;
Jiang, Yuwu .
CONTINENTAL SHELF RESEARCH, 2012, 45 :27-33
[7]   Remote Sensing of Coastal Upwelling in the South-Eastern Baltic Sea: Statistical Properties and Implications for the Coastal Environment [J].
Dabuleviciene, Toma ;
Kozlov, Igor E. ;
Vaiciute, Diana ;
Dailidiene, Inga .
REMOTE SENSING, 2018, 10 (11)
[8]   Upwelling influence on the number of extreme hot SST days along the Canary upwelling ecosystem [J].
deCastro, M. ;
Gomez-Gesteira, M. ;
Costoya, X. ;
Santos, F. .
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2014, 119 (05) :3029-3040
[9]   Upwelling-driven nearshore hypoxia signals ecosystem and oceanographic changes in the northeast Pacific [J].
Grantham, BA ;
Chan, F ;
Nielsen, KJ ;
Fox, DS ;
Barth, JA ;
Huyer, A ;
Lubchenco, J ;
Menge, BA .
NATURE, 2004, 429 (6993) :749-754
[10]   The ERA5 global reanalysis [J].
Hersbach, Hans ;
Bell, Bill ;
Berrisford, Paul ;
Hirahara, Shoji ;
Horanyi, Andras ;
Munoz-Sabater, Joaquin ;
Nicolas, Julien ;
Peubey, Carole ;
Radu, Raluca ;
Schepers, Dinand ;
Simmons, Adrian ;
Soci, Cornel ;
Abdalla, Saleh ;
Abellan, Xavier ;
Balsamo, Gianpaolo ;
Bechtold, Peter ;
Biavati, Gionata ;
Bidlot, Jean ;
Bonavita, Massimo ;
De Chiara, Giovanna ;
Dahlgren, Per ;
Dee, Dick ;
Diamantakis, Michail ;
Dragani, Rossana ;
Flemming, Johannes ;
Forbes, Richard ;
Fuentes, Manuel ;
Geer, Alan ;
Haimberger, Leo ;
Healy, Sean ;
Hogan, Robin J. ;
Holm, Elias ;
Janiskova, Marta ;
Keeley, Sarah ;
Laloyaux, Patrick ;
Lopez, Philippe ;
Lupu, Cristina ;
Radnoti, Gabor ;
de Rosnay, Patricia ;
Rozum, Iryna ;
Vamborg, Freja ;
Villaume, Sebastien ;
Thepaut, Jean-Noel .
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2020, 146 (730) :1999-2049