Redirigiendo al acceso original de articulo en 17 segundos...
ARTÍCULO
TITULO

Expected Distribution of Surfing Days in the Iberian Peninsula

Anna Boqué Ciurana and Enric Aguilar    

Resumen

This study presents, for the first time, a comprehensive characterization of the surf spots around the Iberian Peninsula and provides surfers and stakeholders an evaluation of the expected surfing days per year on each region and spot. The provision of this climate information can help to decision-making and limit the economic and social damages caused by climate-related disasters. This product aligns with the concept of climate services, increasingly requested to help economic activities to achieve optimal performances. We employ use in our study of two sources of data: meteorological buoys (Redcos, Redex and Costeira) and citizen science data, specifically information mined from surfers reanalyzed, namely the information contained in the Glassy app for smartphones (GAC & GAS). The surf spots are characterized using bottom type, surf break type and optimal wind (Owd) and optimal swell direction (Osd). Then, we define a surfing day as the ones in which optimal swell direction and waves bigger than 0.9 m occur; using three parameters mean swell direction (Dmd), significant wave height (Hm0) and optimal swell direction for each surf spot (Osd) and compute the expected frequency of surfing days per year. Once this is done, we attempt to validate the approach taken to characterize a surfing day using buoys parameters (Hm0, Hmax, Tp and Dmd) and information about actual surf sessions for a small subset of our spots (i.e., Costa Tarragona). Our findings confirm that the area of western shore is the best suited for surfing, with over 300 days/year, followed by northern shore (300, 200 days/year) and southern and southeastern shores (<100 days/year). We expect that these values may modestly contribute to a climate-informed planning and management of the surfing activities.

 Artículos similares

       
 
Jérôme Thiébot, Mouncef Sedrati and Sylvain Guillou    
The tidal currents of the Gulf of Morbihan reach up to 3.5 m/s within a narrow (200 m large) channel connecting the sea to the inner part of the gulf. In this study, a Telemac2D model validated with a large dataset of field measurements is used to assess... ver más

 
Laura Patricia García-Pineda and Oscar Danilo Montoya    
This research deals with the problem regarding the optimal siting and sizing of distribution static compensators (D-STATCOMs) via the application of a master?slave optimization technique. The master stage determines the nodes where the D-STATCOMs must be... ver más
Revista: Algorithms

 
Thibaut Théate and Damien Ernst    
Classical reinforcement learning (RL) techniques are generally concerned with the design of decision-making policies driven by the maximisation of the expected outcome. Nevertheless, this approach does not take into consideration the potential risk assoc... ver más
Revista: Algorithms

 
Guilin Liu, Jingyi Yin, Shichun Song, Wenjin Yang, Yuhang Tian, Liping Wang and Yu Xu    
In the context of the increasing frequency and intensity of natural disasters, assessing the risk of typhoon disasters can provide significant assistance for risk control and emergency management of typhoon disasters. In this paper, based on the three-di... ver más

 
Wei Jiang and Rainer Marggraf    
Freshwater is fundamental for all aspects of human well-being and sustainable development. The supply of freshwater resource largely depends on the natural water cycle, leading to extremely unequal distribution over the world. This uneven distribution an... ver más
Revista: Water