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

Gonzalez-Rojí, Santos J.; Sáenz, Jon; Díaz de Argandoña, Javier; Ibarra-Berastegi, Gabriel (2019). Moisture Recycling over the Iberian Peninsula: The Impact of 3DVAR Data Assimilation. Atmosphere, 11(1), p. 19. MDPI 10.3390/atmos11010019

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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.

Item Type:

Journal Article (Original Article)

Division/Institute:

08 Faculty of Science > Physics Institute > Climate and Environmental Physics
10 Strategic Research Centers > Oeschger Centre for Climate Change Research (OCCR)

UniBE Contributor:

Gonzalez Rojí, Santos José

Subjects:

500 Science > 530 Physics
500 Science > 550 Earth sciences & geology

ISSN:

2073-4433

Publisher:

MDPI

Language:

English

Submitter:

Santos José Gonzalez Rojí

Date Deposited:

15 Apr 2021 16:38

Last Modified:

18 Apr 2021 03:02

Publisher DOI:

10.3390/atmos11010019

BORIS DOI:

10.48350/154250

URI:

https://boris.unibe.ch/id/eprint/154250

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