Long-term in situ Eulerian Sea surface temperature records along the Portuguese Coast
Nuno Pessanha Santos,
Ricardo Moura,
Catarina Santos da Silva,
Luisa Lamas,
Victor Lobo,
Miguel de Castro Neto
Affiliations
Nuno Pessanha Santos
Portuguese Military Research Center (CINAMIL), Portuguese Military Academy (Academia Militar), Lisbon 1169-203, Portugal; Institute for Systems and Robotics (ISR), Instituto Superior Técnico (IST), Lisbon 1049-001, Portugal; Portuguese Navy Research Center (CINAV), Portuguese Naval Academy (Escola Naval), Almada 2810-001, Portugal; Corresponding author at: Portuguese Military Research Center (CINAMIL), Portuguese Military Academy (Academia Militar), Rua Gomes Freire, Lisbon 1169-203, Portugal.
Ricardo Moura
Portuguese Navy Research Center (CINAV), Portuguese Naval Academy (Escola Naval), Almada 2810-001, Portugal; Centro de Matemática e Aplicações (Nova Math), Universidade Nova de Lisboa, Caparica 2829-516, Portugal
Catarina Santos da Silva
Portuguese Navy Research Center (CINAV), Portuguese Naval Academy (Escola Naval), Almada 2810-001, Portugal
Luisa Lamas
Portuguese Hydrographic Institute (Instituto Hidrográfico), Rua das Trinas 49, Lisbon 1249-093, Portugal
Victor Lobo
Portuguese Navy Research Center (CINAV), Portuguese Naval Academy (Escola Naval), Almada 2810-001, Portugal; NOVA Information Management School (Nova IMS), Universidade Nova de Lisboa, Lisbon 1070-312, Portugal
Miguel de Castro Neto
NOVA Information Management School (Nova IMS), Universidade Nova de Lisboa, Lisbon 1070-312, Portugal
Monitoring ocean surface temperature is critical to infer the variability of the upper layers of the ocean, from short temporal scales to climatic change scales. Analysis of the climatological trends and anomalies is fundamental to comprehend the long-term effects of climate change on marine ecosystems and coastal regions. The original data for the dataset presented was collected by the Portuguese Hydrographic Institute (Instituto Hidrográfico) using seven Ondograph and Meteo-oceanography buoys anchored offshore along the Portuguese coast to acquire ocean surface temperatures. The original raw data was pre-processed to provide averages over 3-hour periods and daily averages, and this cleaned data constitutes the provided dataset. The 3-hour temperature averages were obtained mainly between 2011 and 2015, and the daily temperature averages were obtained in intervals that vary with the considered buoy, having an average interval of 14 years per buoy. The data gathered provides a considerable temporal window, enabling the creation of data series and the implementation of data mining algorithms to develop decision support systems. Collecting data in situ makes it possible to validate simulated results obtained using approximation models. This allows for more accurate temperature readings and facilitates testing and correcting created models.