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MORFODINAMICA DE PLAYAS PROTEGIDAS EN EL MEDITERRANEO FRENTE AL CAMBIO CLIMATICO

RTI2018-093941-B-C31

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Nombre agencia financiadora Agencia Estatal de Investigación
Acrónimo agencia financiadora AEI
Programa Programa Estatal de I+D+i Orientado a los Retos de la Sociedad
Convocatoria Proyectos I+D+i Retos de Investigación
Año convocatoria 2018
Unidad de gestión Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020
Centro beneficiario UNIVERSIDAD DE LAS ISLAS BALEARES

Resultados relacionados

Resultados totales (Incluyendo duplicados): 4
Encontrada(s) 1 página(s)

Set de datos (Dataset). 2021

A 60 year wave hindcast dataset in the Caribbean Sea [Dataset]

DIGITAL.CSIC. Repositorio Institucional del CSIC
  • Orejarena-Rondón, Andrés F.
  • Orfila, Alejandro
  • Restrepo, Juan C.
  • Ramos, Isabel M.
  • Hernández Carrasco, Ismael
Each file contains significant wave height (Hs), mean wave period (Tm_01) (Tmm_10), mean wave direction (θ_m), latitude, longitude and time for a specific year. Each file in NetCDF format is around 1GB size containing the above data every 6 hours at 00h, 06h, 12h and 18h. Data cover from January, 1^st 1958 to December, 〖31〗^st 2017 on a 229 x101 mesh nodes with a resolution of 11.8 km x 11.4 km. Bottom left corner coordinates are -84.52° W; 8.1° N., AOR is supported by COLCIENCIAS (Departamento Administrativo de Ciencia, Tecnología e Innovación) through a PhD grant from “Convocatoria 727” and from a POGO fellowship at the Mediterranean Institute for Advanced Studies. Authors acknowledge financial support from the Spanish Government MICINN/FEDER through MOCCA Project (RTI2018-093941-B-C31)., Peer reviewed




Set de datos (Dataset). 2021

A 60 year wave hindcast dataset in the southern Caribbean Sea

DIGITAL.CSIC. Repositorio Institucional del CSIC
  • Orejarena-Rondón, Andrés F.
  • Orfila, Alejandro
  • Restrepo, Juan C.
  • Ramos, Isabel M.
  • Hernández Carrasco, Ismael
This article presents a 60 years wave hindcast from 1958 to 2017, covering the Colombian Caribbean basin. Each output consists on 6-hour field of significant wave height , mean wave period , and mean direction with a resolution of 11.8 11.4 . The simulation was performed using SWAN model forced with JRA-55 wind fields. Model data is validated against NOAA buoy 42058 located in the central Caribbean. The resolution and time spam of this database allows to perform either coastal engineering projects as well as to perform research in seasonal and interannual wave climate variability including large return periods to evaluate coastal vulnerability., AOR is supported by COLCIENCIAS (Departamento Administrativo de Ciencia, Tecnología e Innovación) through a PhD grant from “Convocatoria 727” and from a POGO fellowship at the Mediterranean Institute for Advanced Studies. Authors acknowledge financial support from the Spanish Government MICINN/FEDER through MOCCA Project (RTI2018-093941-B-C31)., Peer reviewed




Set de datos (Dataset). 2023

GESLA Version 3: A major update to the global higher-frequency sea-level dataset

DIGITAL.CSIC. Repositorio Institucional del CSIC
  • Haigh, Ivan D.
  • Marcos, Marta
  • Talke, Stefan A.
  • Woodworth, Philip L.
  • Hunter, John R.
  • Hague, Ben S.
  • Arns, Arne
  • Bradshaw, Elizabeth
  • Thompson, Philip
This paper describes a major update to the quasi-global, higher-frequency sea-level dataset known as GESLA (Global Extreme Sea Level Analysis). Versions 1 (released 2009) and 2 (released 2016) of the dataset have been used in many published studies, across a wide range of oceanographic and coastal engineering-related investigations concerned with evaluating tides, storm surges, extreme sea levels, and other related processes. The third version of the dataset (released 2021), presented here, contains double the number of years of data, and nearly four times the number of records, compared to Version 2. The dataset consists of records obtained from multiple sources around the world. This paper describes the assembly of the dataset, its processing, and its format, and outlines potential future improvements., We received no direct funding to assemble GESLA 3, however part of our time was funded on relevant grants, as follows: IDH time was partly funded via the NERC-funded CHANCE Project (NE/S010262/1); SAT was partly funded by the National Science Foundation (Award number 1455350 and 2013280); MM was supported by European Regional Development Fund/Ministerio de Ciencia, Innovación y Universidades – Agencia Estatal de Investigación through the MOCCA project (grant no. RTI2018-093941-B-C31); PRT was supported by the National Oceanic and Atmospheric Administration Global Ocean Monitoring and Observation Program via the University of Hawaiʻi Sea Level Center (grant no. NA11NMF4320128)., Peer reviewed




Set de datos (Dataset). 2021

Historical tide gauge sea-level observations in Alicante and Santander (Spain) since the 19th century

DIGITAL.CSIC. Repositorio Institucional del CSIC
  • Marcos, Marta
  • Puyol, Bernat
  • Amores, Ángel
  • Pérez Gómez, Begoña
  • Fraile, María Angeles
  • Talke, Stefan A.
A set of historical tide gauge sea-level records from two locations in Santander (Northern Spain) and Alicante (Spanish Mediterranean coast) have been recovered from logbooks stored in national archives. Sea-level measurements have been digitized, quality-controlled and merged into three consistent sea-level time series (two in Alicante and one in Santander) using high-precision levelling information. The historical sea-level record in Santander consists of a daily time series spanning the period 1876-1924 and it is further connected to the record from the modern tide gauge station nearby, ensuring datum continuity up to the present. The sea-level recording in Alicante started in 1870, with daily averaged values until the 1920s and hourly afterwards, and the tide gauges at the two Alicante sites are still operating, thereby providing one of the longest tide gauge sea-level time series in the Mediterranean Sea. The long-term consistency and reliability of the new records are discussed based on comparison with nearby tide gauge time series., The research presented in this paper was partially funded by the Spanish Ministry of Science, Innovation and Universities (MOCCA, project number RTI2018-093941-B-C31) (M.M., A.A.) and the National Science Foundation CAREER award number 1455350 (S.T.)., Peer reviewed