Characterization of surface winds over the Iberian Peninsula

Lorente-Plazas, R.; Montávez, J. P.; Jimenez, P. A.; Jerez, S.; Gómez-Navarro, J. J.; García-Valero, J. A.; Jimenez-Guerrero, P. (2015). Characterization of surface winds over the Iberian Peninsula. International journal of climatology, 35(6), pp. 1007-1026. Wiley 10.1002/joc.4034

[img] Text
lorente-plazas15ijc.pdf - Published Version
Restricted to registered users only
Available under License Publisher holds Copyright.

Download (5MB) | Request a copy

This work presents a characterization of the surface wind climatology over the Iberian Peninsula (IP). For this objective, an unprecedented observational database has been developed. The database covers a period of 6years (2002–2007) and consists of hourly wind speed and wind direction data recorded at 514 automatic weather stations. Theoriginal observations underwent a quality control process to remove rough errors from the data set. In the first step, the annual and seasonal mean behaviour of the wind field are presented. This analysis shows the high spatial variability of the wind as a result of its interaction with the main orographic features of the IP. In order to simplify the characterization of the wind, a clustering procedure was applied to group the observational sites with similar temporal wind variability. A total of 20 regions are identified. These regions are strongly related to the main landforms of the IP. The wind behaviour of each region, characterized by the wind rose (WR), annual cycle (AC) and wind speed histogram, is explained as the response of each region to the main circulation types (CTs) affecting the IP. Results indicate that the seasonal variability of the synoptic scale is related with intra-annual variability and modulated by local features in the WRs variability. The wind speed distribution not always fit to a unimodal Weibull distribution consequence of interactions at different atmospheric scales. This work contributes to a deeper understanding of the temporal and spatial variability of surface winds. Taken together, the wind database created, the methodology used and the conclusion extracted are a benchmark for future works based on the wind behaviour.

Item Type:

Journal Article (Original Article)

Division/Institute:

08 Faculty of Science > Physics Institute > Climate and Environmental Physics

UniBE Contributor:

Gomez, Juan Jose

Subjects:

500 Science > 530 Physics

ISSN:

0899-8418

Publisher:

Wiley

Language:

English

Submitter:

Doris Rätz

Date Deposited:

22 May 2015 15:20

Last Modified:

05 Dec 2022 14:47

Publisher DOI:

10.1002/joc.4034

BORIS DOI:

10.7892/boris.69028

URI:

https://boris.unibe.ch/id/eprint/69028

Actions (login required)

Edit item Edit item
Provide Feedback