Published January 17, 2020 | Version v1
Dataset Open

Pseudo-Soundings for Publication "Changes in the simulation of instability indices over the Iberian Peninsula due to the use of 3DVAR data assimilation"

  • 1. Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland.
  • 2. TECNALIA, Parque Tecnológico de Álava, Vitoria-Gazteiz, Spain.
  • 3. Department of Applied Physics II, University of the Basque Country (UPV/EHU), Leioa, Spain.
  • 4. Department of NE and Fluid Mechanics, University of the Basque Country (UPV/EHU), Bilbao Engineering School, Bilbao, Spain.

Description

These data are made available as part of paper: S. J. González-Rojí, S. Carreno-Madinabeitia, J. Sáenz, and G. Ibarra-Berastegi (2021) "Changes in the simulation of atmospheric instability over the Iberian Peninsula due to the use of 3DVAR data assimilation", published in Hydrology and Earth System Sciences (HESS) (https://doi.org/10.5194/hess-25-3471-2021). The dataset holds selected postprocessed files that allow to reproduce all the results in the paper.

Two WRF experiments nested in ERA-Interim were prepared. The first one (N) was configured as in standard numerical downscaling experiments. The second one (D), with the same parameterizations, included a step of 3DVAR data assimilation every 6 hours. The original experiments covered period 2010-2014 after a year of spin-up (2019). 

The following files are included:

- PseudoSoundings_EXP_YYYY: Contains the Pressure, Temperature and Mixing Ratio on each point included in the mask defined for the Iberian Peninsula. The values of each model level are included. The values at 00 and 12 UTC are included.  

- ListPointsWRF.txt: Provides the order followed in the nPoints dimension of the nc files. The longitud and latitude of each point is also provided in that list.  

The reference data of the soundings was download from the University of Wyoming, and they are freely available in this website: http://weather.uwyo.edu/upperair/sounding.html

 

 

Files

ListPointsWRF.txt

Files (9.2 GB)

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md5:a968fa710b3570d465f3f25ceb867e49
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md5:eff0d72325afdb27d3ad64525ec297e3
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md5:e0e90c83a6324a1ac594df79bc97ec3f
923.3 MB Download

Additional details

Related works

Is supplement to
Journal article: 10.5194/hess-25-3471-2021 (DOI)