A 44-year high-resolution ocean and atmospheric hindcast for the Mediterranean Basin developed within the HIPOCAS Project

Ratsimandresy, A. W.; Sotillo, Marcos García; Albiach, Juan Carlos Carretero; Fanjul, Enrique Álvarez; Hajji, Hafedh

doi:10.1016/j.coastaleng.2008.02.025

Cited by 92 publications

(61 citation statements)

References 13 publications

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“…The operating period, type of instrument (omnidirectional-scalar-and directional) and depth of each buoy can be seen in Table 1. In the area, there is a larger database built up by 44-yr hindcast wave data obtained within the HIPOCAS project (Guedes Soares, 2008;Ratsimandresy et al, 2008). Although this database is extremely useful to analyze long-term trends and large spatial patterns, when the interest is to analyze real values at any location during storm conditions, modelled data may differ from real ones (Bolaños et al, 2007;Ponce de León and Guedes Soares, 2008).…”

Section: Study Area and Datamentioning

confidence: 99%

A coastal storms intensity scale for the Catalan sea (NW Mediterranean)

Mendoza

Jiménez

Mateo³

2011

Nat. Hazards Earth Syst. Sci.

104

122

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Abstract.A 5-class intensity scale for wave storms in the Catalan coast is presented. This has been done by analysing a storm data set which comprises 5 buoys during the period 1988/2008. The obtained classification improves the former proposal of Mendoza and Jiménez (2008) by better resolving spatial and temporal variability in wave storms in the area. The obtained classification reflects the increase in wave storm properties as the storm category increases. Because the selected classification parameter was the energy content which implicitly contains H s and storm duration, this variable was used to define class limits; class I storms (24-250 m 2 h), class II storms (251-500 m 2 h), class III (501-700 m 2 h), class IV storms (701-1200 m 2 h) and class V storms (>1200 m 2 h). The energy content variable was also used as proxy for induced hazards; the observed increase in energy content for higher classes reflected a significant increase in the intensity of the potential hazards. Lastly, the dominant synoptic situation for wave storms along the Catalan coast was the presence of a Mediterranean cyclone although a direct correspondence on cyclone's intensity over the western Mediterranean with wave energy content was not found.

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Section: Study Area and Datamentioning

confidence: 99%

A coastal storms intensity scale for the Catalan sea (NW Mediterranean)

Mendoza

Jiménez

Mateo³

2011

Nat. Hazards Earth Syst. Sci.

104

122

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“…To characterise marine flooding, wave and water levels were taken from the hindcast SIMAR-44 database, which was generated from high-resolution modelling of the atmosphere, sea level, and waves carried out by Puertos del Estado within the HIPOCAS project (Guedes-Soares et al 2002;Ratsimandresy et al 2008). Data used cover the period from 1 January 1958 to 31 December 2001 as time series of meteorological tide levels, deepwater significant wave height H m0 , mean period T m , peak period T p , and the mean wave direction every 3 h. Following previous work by Bosom and Jiménez (2011), who analysed the spatial homogeneity of the wave climate in the study area, wave conditions were selected from one single location for the entire region.…”

Section: Datamentioning

confidence: 99%

A multi-component flood risk assessment in the Maresme coast (NW Mediterranean)

2017

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Coastal regions are the areas most threatened by natural hazards, with floods being the most frequent and significant threat in terms of their induced impacts, and therefore, any management scheme requires their evaluation. In coastal areas, flooding is a hazard associated with various processes acting at different scales: coastal storms, flash floods, and sea level rise (SLR). In order to address the problem as a whole, this study presents a methodology to undertake a preliminary integrated risk assessment that determines the magnitude of the different flood processes (flash flood, marine storm, SLR) and their associated consequences, taking into account their temporal and spatial scales. The risk is quantified using specific indicators to assess the magnitude of the hazard (for each component) and the consequences in a common scale. This allows for a robust comparison of the spatial risk distribution along the coast in order to identify both the areas at greatest risk and the risk components that have the greatest impact. This methodology is applied on the Maresme coast (NW Mediterranean, Spain), which can be considered representative of developed areas of the Spanish Mediterranean coast. The results obtained characterise this coastline as an area of relatively low overall risk, although some hot spots have been identified with high-risk values, with flash flooding being the principal risk process.

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“…1) originate from two different datasets. The special Mediterranean HIPOCAS dataset (1958-2001, Sotillo et al, 2005Ratsimandresy et al, 2008), provided by Puertos del Estado (Spain), is employed for the radiative, whereas the global OAFlux (1958-2006, Yu and Weller, 2007 for the turbulent fluxes (latent and sensible heat, LH and SH). The two datasets are qualified as statistically robust for the Aegean Sea region after a comparison with an observational dataset .…”

Section: Methodsmentioning

confidence: 99%

Correlation between air-sea heat fluxes over the Aegean Sea and the total precipitable water over Europe and North Africa

et al. 2011

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Abstract.The relation between the air-sea heat fluxes in the Aegean Sea and the total precipitable water (TPW) over Europe and North Africa is investigated. An one-point linear correlation between the components of surface heat exchange and TPW is employed. During winter and for the shortwave radiation, a dipole of opposite correlation (see-saw teleconnection), is observed between the northeast Europe and the East Mediterranean Sea. This pattern is inverted for the longwave radiation and especially during the summer is limited to a strong positive south pole. Both spatial correlation patterns underline the influence of cloudiness during the winter season and the specific humidity during summer on the radiative fluxes behavior. Regarding the turbulent air-sea heat flux components -latent and sensible heat -the correlation pattern is enhanced. The winter pattern exhibits positive correlation over Europe with the highest values (r > 0.75) over the Balkan Peninsula. The identified correlation patterns, although they remain dominant, weaken during the summer. The herein findings suggest that the stronger relation between the TPW and the turbulent fluxes is regulated by the wind regime.

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A 44-year high-resolution ocean and atmospheric hindcast for the Mediterranean Basin developed within the HIPOCAS Project

Cited by 92 publications

References 13 publications

A coastal storms intensity scale for the Catalan sea (NW Mediterranean)

A coastal storms intensity scale for the Catalan sea (NW Mediterranean)

A multi-component flood risk assessment in the Maresme coast (NW Mediterranean)

Correlation between air-sea heat fluxes over the Aegean Sea and the total precipitable water over Europe and North Africa

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