Moisture Recycling over the Iberian Peninsula: The Impact of 3DVAR Data Assimilation

被引:2
|
作者
Gonzalez-Roji, Santos J. [1 ,2 ]
Saenz, Jon [3 ,4 ]
Diaz de Argandona, Javier [5 ]
Ibarra-Berastegi, Gabriel [4 ,6 ]
机构
[1] Univ Bern, Oeschger Ctr Climate Change Res, CH-3012 Bern, Switzerland
[2] Univ Bern, Climate & Environm Phys, CH-3012 Bern, Switzerland
[3] Univ Basque Country UPV EHU, Dept Appl Phys 2, Leioa 48940, Spain
[4] Univ Basque Country PiE UPV EHU, Plentzia Itsas Estazioa, Plentzia 48620, Spain
[5] Univ Basque Country UPV EHU, Dept Appl Phys 1, Vitoria 01006, Spain
[6] Univ Basque Country UPV EHU, Bilbao Engn Sch, Dept NE & Fluid Mech, Bilbao 48013, Spain
关键词
moisture recycling; recycling; data assimilation; WRF; iberian peninsula; ATMOSPHERIC WATER-VAPOR; CENTRAL UNITED-STATES; INTERANNUAL VARIABILITY; PART II; CUMULUS PARAMETERIZATION; WINTER PRECIPITATION; LAGRANGIAN ANALYSIS; TEMPORAL PATTERNS; CLIMATE; EUROPE;
D O I
10.3390/atmos11010019
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In this paper, we have estimated the spatiotemporal distribution of moisture recycling over the Iberian Peninsula (IP). The recycling ratio was computed from two simulations over the IP using the Weather Research and Forecasting (WRF) model with a horizontal resolution of 15 km spanning the period 2010-2014. The first simulation (WRF N) was nested inside the ERA-Interim with information passed to the domain through the boundaries. The second run (WRF D) is similar to WRF N, but it also includes 3DVAR data assimilation every six hours (12:00 a.m., 6:00 a.m., 12:00 p.m. and 6:00 p.m. UTC). It was also extended until 2018. The lowest values of moisture recycling (3%) are obtained from November to February, while the highest ones (16%) are observed in spring in both simulations. Moisture recycling is confined to the southeastern corner during winter. During spring and summer, a gradient towards the northeastern corner of the IP is observed in both simulations. The differences between both simulations are associated with the dryness of the soil in the model and are higher during summer and autumn. WRF D presents a lower bias and produces more reliable results because of a better representation of the atmospheric moisture.
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页数:19
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