Improvement in the accuracy of back trajectories using WRF to identify pollen sources in southern Iberian Peninsula.
Airborne pollen transport at micro-, meso-gamma and meso-beta scales must be studied by atmospheric models, having special relevance in complex terrain. In these cases, the accuracy of these models is mainly determined by the spatial resolution of the underlying meteorological dataset. This work examines how meteorological datasets determine the results obtained from atmospheric transport models used to describe pollen transport in the atmosphere. We investigate the effect of the spatial resolution when computing backward trajectories with the HYSPLIT model. We have used meteorological datasets from the WRF model with 27, 9 and 3 km resolutions and from the GDAS files with 1° resolution. This work allows characterizing atmospheric transport of Olea pollen in a region with complex flows. The results show that the complex terrain affects the trajectories and this effect varies with the different meteorological datasets. Overall, the change from GDAS to WRF-ARW inputs improves the analyses with the HYSPLIT model, thereby increasing the understanding the pollen episode. The results indicate that a spatial resolution of at least 9 km is needed to simulate atmospheric flows that are considerable affected by the relief of the landscape. The results suggest that the appropriate meteorological files should be considered when atmospheric models are used to characterize the atmospheric transport of pollen on micro-, meso-gamma and meso-beta scales. Furthermore, at these scales, the results are believed to be generally applicable for related areas such as the description of atmospheric transport of radionuclides or in the definition of nuclear-radioactivity emergency preparedness.
Department of Applied Physics, University of Huelva, Huelva, Spain, miguelhceballos@gmail.com.
M A
MA
Hernández-Ceballos
C A
CA
Skjøth
H
H
García-Mozo
J P
JP
Bolívar
C
C
Galán
D000392:Air Movements; D000393:Air Pollutants; D000485:Allergens; D008962:Models, Theoretical; D031658:Olea; D011058:Pollen; D013030:Spain
D000393:Air Pollutants; D000485:Allergens