Analysis of the long-term surface wind variability over complex terrain using a high spatial resolution WRF simulation

被引:12
作者
Jimenez, Pedro A. [1 ,2 ]
Gonzalez-Rouco, J. Fidel [1 ]
Montavez, Juan P. [3 ]
Garcia-Bustamante, E. [4 ]
Navarro, J. [2 ]
Dudhia, J. [5 ]
机构
[1] UCM, Dept Astrofis & CC, Fac CC, Madrid 28040, Spain
[2] CIEMAT, Div Energias Renovables, Madrid 28040, Spain
[3] Univ Murcia, Dept Fis, E-30071 Murcia, Spain
[4] Univ Giessen, Dept Geog, D-35390 Giessen, Germany
[5] NCAR, Mesoscale & Microscale Meteorol Div, Boulder, CO USA
基金
美国国家科学基金会;
关键词
Surface wind variability; Dynamical downscaling; WRF; Multivariate analysis; IBERIAN PENINSULA; TRENDS; CLASSIFICATION; PATTERNS; SPEED; REGIONALIZATION; DISTRIBUTIONS; NORTHEAST;
D O I
10.1007/s00382-012-1326-z
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
This work uses a WRF numerical simulation from 1960 to 2005 performed at a high horizontal resolution (2 km) to analyze the surface wind variability over a complex terrain region located in northern Iberia. A shorter slice of this simulation has been used in a previous study to demonstrate the ability of the WRF model in reproducing the observed wind variability during the period 1992-2005. Learning from that validation exercise, the extended simulation is herein used to inspect the wind behavior where and when observations are not available and to determine the main synoptic mechanisms responsible for the surface wind variability. A principal component analysis was applied to the daily mean wind. Two principal modes of variation accumulate a large percentage of the wind variability (83.7%). The first mode reflects the channeling of the flow between the large mountain systems in northern Iberia modulated by the smaller topographic features of the region. The second mode further contributes to stress the differentiated wind behavior over the mountains and valleys. Both modes show significant contributions at the higher frequencies during the whole analyzed period, with different contributions at lower frequencies during the different decades. A strong relationship was found between these two modes and the zonal and meridional large scale pressure gradients over the area. This relationship is described in the context of the influence of standard circulation modes relevant in the European region like the North Atlantic Oscillation, the East Atlantic pattern, East Atlantic/Western Russia pattern, and the Scandinavian pattern.
引用
收藏
页码:1643 / 1656
页数:14
相关论文
共 50 条
  • [41] Long-term Change Analysis of Satellite-based Evapotranspiration over Indian Vegetated Surface
    Shweta
    Bhattacharya, Bimal. K.
    Krishna, Akhouri Pramod
    LAND SURFACE AND CRYOSPHERE REMOTE SENSING III, 2016, 9877
  • [42] Long-term analysis of NO2, CO, and AOD seasonal variability using satellite observations over Asia and intercomparison with emission inventories and model
    Lalitaporn, Pichnaree
    Kurata, Gakuji
    Matsuoka, Yuzuru
    Thongboonchoo, Narisara
    Surapipith, Vanisa
    AIR QUALITY ATMOSPHERE AND HEALTH, 2013, 6 (04) : 655 - 672
  • [43] Investigating the spatio-temporal characteristics of lower atmospheric ducts across the China seas by performing a long-term simulation using the WRF model
    Liu, Qi
    Zhao, Xiaofeng
    Zou, Jing
    Hu, Tong
    Qiu, Zhijin
    Wang, Bo
    Li, Zhiqian
    Cui, Chaoran
    Cao, Rui
    FRONTIERS IN MARINE SCIENCE, 2024, 11
  • [44] Analysis of Long-Term Variations of Drought Characteristics Using Standardized Precipitation Index over Zambia
    Musonda, Bathsheba
    Jing, Yuanshu
    Iyakaremye, Vedaste
    Ojara, Moses
    ATMOSPHERE, 2020, 11 (12) : 1 - 20
  • [45] Intra-catchment comparison and classification of long-term streamflow variability in the Alps using wavelet analysis
    Ciria, Teresa Perez
    Chiogna, Gabriele
    JOURNAL OF HYDROLOGY, 2020, 587
  • [46] The Performance of a High-Resolution WRF Modelling System in the Simulation of Severe Tropical Cyclones over the Bay of Bengal Using the IMDAA Regional Reanalysis Dataset
    Koteshwaramma, Thatiparthi
    Singh, Kuvar Satya
    Nayak, Sridhara
    CLIMATE, 2025, 13 (01)
  • [47] High-Resolution Simulation of Snowfall over the Korean Eastern Coastal Region Using WRF Model: Sensitivity to Domain Nesting-Down Strategy
    Park, Hyun-Hee
    Lee, Jiwoo
    Chang, Eun-Chul
    Joh, Minsu
    ASIA-PACIFIC JOURNAL OF ATMOSPHERIC SCIENCES, 2019, 55 (03) : 493 - 506
  • [48] High-Resolution Simulation of Snowfall over the Korean Eastern Coastal Region Using WRF Model: Sensitivity to Domain Nesting-Down Strategy
    Hyun-Hee Park
    Jiwoo Lee
    Eun-Chul Chang
    Minsu Joh
    Asia-Pacific Journal of Atmospheric Sciences, 2019, 55 : 493 - 506
  • [49] A Long-Term Spatiotemporal Analysis of Vegetation Greenness over the Himalayan Region Using Google Earth Engine
    Kumari, Nikul
    Srivastava, Ankur
    Dumka, Umesh Chandra
    CLIMATE, 2021, 9 (07)
  • [50] Using Wavelet Analysis to Examine Long-Term Variability of Phytoplankton Biomass in the Tropical, Saline Lake Alchichica, Mexico
    Alcocer, Javier
    Quiroz-Martinez, Benjamin
    Merino-Ibarra, Martin
    Oseguera, Luis A.
    Macek, Miroslav
    WATER, 2022, 14 (09)