Unpublished conference/Abstract (Scientific congresses and symposiums)
High spatial resolution Sea Surface Temperature data for the study of Marine Heat Waves in the souther North Sea
Alvera Azcarate, Aida; Mohamed, Bayoumy Abdelaziz; Barth, Alexander et al.
2024EGU General Assembly 2024
Peer reviewed
 

Files


Full Text
EGU24-16471-print.pdf
Author postprint (294.54 kB) Creative Commons License - Attribution
Download

All documents in ORBi are protected by a user license.

Send to



Details



Abstract :
[en] Marine Heat Waves (MHWs) are defined as discrete periods of anomalously warm water temperature at a given location. MHWs can have a huge impact on marine ecosystems, already under stress because of the effects of a warming ocean under climate change and high anthropogenic pressure. This work will assess the spatio-temporal evolution of MHWs in the southern North Sea, with an emphasis on the 2022 events. Studying the impact of MHWs on coastal marine ecosystems is currently hampered by the resolution mismatch between traditional satellite data (typically 1 km spatial resolution for SST and CHL) and species habitat/substrate. In the southern North Sea, a multitude of shallow sandbanks, sand, mud and coarser sediment substrats are for instance present, offering a multitude of habitats to different species. With ocean dynamics, and hence water mass and temperature distribution being impacted by the presence of these sandbanks, fine spatial resolution data are required for accurate analysis of the consequences of MHWs and cold spells on the ecosystem. The Thermal InfraRed Sensor (TIRS) sensor onboard the Landsat constellation provides SST at a spatial resolution of 30 m with an accuracy of 0.1 to 0.2K, and can allow the study of the evolution of small-scale dynamics in coastal regions, including the development of MHWs. However, Landsat data have a very low revisit time (7-9 days), not optimal to study specific MHW events, which can evolve on a daily basis. This work will assess the synergy between Landsat data and daily, low-spatial resolution SST data to analyse the evolution of MHWs at coastal regions. DINEOF (Data Interpolating Empirical Orthogonal Functions) will be used to merge these tow data sources and provide high spatial and temporal resolution SST data. This work is a first attempt at linking MHW variability and their consequences on marine ecosystems at very fine spatio-temporal scales, and is part of the North-Heat project. We aim at providing key insights for our comprehension of MHWs in the southern North Sea, a region where marine ecosystems are already under high anthropogenic pressure.  
Disciplines :
Earth sciences & physical geography
Author, co-author :
Alvera Azcarate, Aida  ;  Université de Liège - ULiège > Département d'astrophysique, géophysique et océanographie (AGO) > GeoHydrodynamics and Environment Research (GHER)
Mohamed, Bayoumy Abdelaziz  ;  Université de Liège - ULiège > Freshwater and OCeanic science Unit of reSearch (FOCUS)
Barth, Alexander  ;  Université de Liège - ULiège > Département d'astrophysique, géophysique et océanographie (AGO) > GeoHydrodynamics and Environment Research (GHER)
Massant, Joppe
Van der Zande, Dimitry 
Language :
English
Title :
High spatial resolution Sea Surface Temperature data for the study of Marine Heat Waves in the souther North Sea
Publication date :
14 April 2024
Event name :
EGU General Assembly 2024
Event date :
14–19 Apr 2024
Audience :
International
Peer review/Selection committee :
Peer reviewed
Available on ORBi :
since 16 January 2025

Statistics


Number of views
28 (3 by ULiège)
Number of downloads
17 (0 by ULiège)

OpenCitations
 
0
OpenAlex citations
 
0

Bibliography


Similar publications



Contact ORBi