Offshore wind data assessment near the Iberian Peninsula over the last 25 years
Numerous processes affecting coastal ocean dynamics and water properties occur at the air-sea interface as a result of wind blowing on the ocean surface. In Earth system research, it is crucial to appropriately characterize the ocean surface wind (OSW) field because of its significance in many acade...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
IOP Publishing
2023-01-01
|
Series: | Environmental Research: Climate |
Subjects: | |
Online Access: | https://doi.org/10.1088/2752-5295/accf2d |
_version_ | 1797328138716315648 |
---|---|
author | Sandra M Plecha Ana Teles-Machado Ricardo Tomé Pedro Mateus |
author_facet | Sandra M Plecha Ana Teles-Machado Ricardo Tomé Pedro Mateus |
author_sort | Sandra M Plecha |
collection | DOAJ |
description | Numerous processes affecting coastal ocean dynamics and water properties occur at the air-sea interface as a result of wind blowing on the ocean surface. In Earth system research, it is crucial to appropriately characterize the ocean surface wind (OSW) field because of its significance in many academic and economic activities. This study aimed to evaluate the accuracy of the most recent OSW datasets based on numerical modeling and remote sensing products in estimating in situ observations along the Atlantic coast of the Iberian Peninsula. The results are three-fold: (1) when high temporal resolutions are not necessary, remote sensing products are an excellent choice because they provide reliable OSW estimates; (2) for analyses that require high temporal resolution, numerical weather models are the best choice because they can statistically reproduce the main trend; (3) fifth generation of European ReAnalysis (ERA5) showed that, despite having a lower spatial resolution than the dynamically downscaled weather research and forecasting simulation, it captures the spatial and temporal dynamics and variability of coastal winds and may be used as forcing of the atmosphere-ocean interface modeling without compromising its accuracy. |
first_indexed | 2024-03-08T06:47:38Z |
format | Article |
id | doaj.art-e17325b769064b6b949207afc858d311 |
institution | Directory Open Access Journal |
issn | 2752-5295 |
language | English |
last_indexed | 2024-03-08T06:47:38Z |
publishDate | 2023-01-01 |
publisher | IOP Publishing |
record_format | Article |
series | Environmental Research: Climate |
spelling | doaj.art-e17325b769064b6b949207afc858d3112024-02-03T07:37:14ZengIOP PublishingEnvironmental Research: Climate2752-52952023-01-012202500810.1088/2752-5295/accf2dOffshore wind data assessment near the Iberian Peninsula over the last 25 yearsSandra M Plecha0https://orcid.org/0000-0002-9364-2090Ana Teles-Machado1https://orcid.org/0000-0002-8311-4358Ricardo Tomé2https://orcid.org/0000-0003-0657-7057Pedro Mateus3https://orcid.org/0000-0001-8027-2142Universidade de Lisboa, Faculdade de Ciências, Instituto Dom Luiz , Lisboa, PortugalInstituto Português da Mar e da Atmosfera, Instituto Dom Luiz , Lisboa, PortugalUniversidade de Lisboa, Faculdade de Ciências, Instituto Dom Luiz , Lisboa, PortugalUniversidade de Lisboa, Faculdade de Ciências, Instituto Dom Luiz , Lisboa, PortugalNumerous processes affecting coastal ocean dynamics and water properties occur at the air-sea interface as a result of wind blowing on the ocean surface. In Earth system research, it is crucial to appropriately characterize the ocean surface wind (OSW) field because of its significance in many academic and economic activities. This study aimed to evaluate the accuracy of the most recent OSW datasets based on numerical modeling and remote sensing products in estimating in situ observations along the Atlantic coast of the Iberian Peninsula. The results are three-fold: (1) when high temporal resolutions are not necessary, remote sensing products are an excellent choice because they provide reliable OSW estimates; (2) for analyses that require high temporal resolution, numerical weather models are the best choice because they can statistically reproduce the main trend; (3) fifth generation of European ReAnalysis (ERA5) showed that, despite having a lower spatial resolution than the dynamically downscaled weather research and forecasting simulation, it captures the spatial and temporal dynamics and variability of coastal winds and may be used as forcing of the atmosphere-ocean interface modeling without compromising its accuracy.https://doi.org/10.1088/2752-5295/accf2dreanalysis datasatellite databuoyssentinel-1coastal winds |
spellingShingle | Sandra M Plecha Ana Teles-Machado Ricardo Tomé Pedro Mateus Offshore wind data assessment near the Iberian Peninsula over the last 25 years Environmental Research: Climate reanalysis data satellite data buoys sentinel-1 coastal winds |
title | Offshore wind data assessment near the Iberian Peninsula over the last 25 years |
title_full | Offshore wind data assessment near the Iberian Peninsula over the last 25 years |
title_fullStr | Offshore wind data assessment near the Iberian Peninsula over the last 25 years |
title_full_unstemmed | Offshore wind data assessment near the Iberian Peninsula over the last 25 years |
title_short | Offshore wind data assessment near the Iberian Peninsula over the last 25 years |
title_sort | offshore wind data assessment near the iberian peninsula over the last 25 years |
topic | reanalysis data satellite data buoys sentinel-1 coastal winds |
url | https://doi.org/10.1088/2752-5295/accf2d |
work_keys_str_mv | AT sandramplecha offshorewinddataassessmentneartheiberianpeninsulaoverthelast25years AT anatelesmachado offshorewinddataassessmentneartheiberianpeninsulaoverthelast25years AT ricardotome offshorewinddataassessmentneartheiberianpeninsulaoverthelast25years AT pedromateus offshorewinddataassessmentneartheiberianpeninsulaoverthelast25years |