Forecast errors in dust vertical distributions over Rome (Italy): Multiple particle size representation and cloud contributions

This item is provided by the institution :
/aggregator-openarchives/portal/institutions/uoa   

Repository :
Pergamos Digital Library   

see the original item page
in the repository's web site and access all digital files if the item*



Forecast errors in dust vertical distributions over Rome (Italy): Multiple particle size representation and cloud contributions

Kishcha, P. Alpert, P. Shtivelman, A. Krichak, S.O. Joseph, J.H. Kallos, G. Katsafados, P. Spyrou, C. Gobbi, G.P. Barnaba, F. Nickovic, S. Pérez, C. Baldasano, J.M.

scientific_publication_article
Επιστημονική δημοσίευση - Άρθρο Περιοδικού (EL)
Scientific publication - Journal Article (EN)

2007


In this study, forecast errors in dust vertical distributions were analyzed. This was carried out by using quantitative comparisons between dust vertical profiles retrieved from lidar measurements over Rome, Italy, performed from 2001 to 2003, and those predicted by models. Three models were used: the four-particle-size Dust Regional Atmospheric Model (DREAM), the older one-particle-size version of the SKIRON model from the University of Athens (UOA), and the pre-2006 one-particle-size Tel Aviv University (TAU) model. SKIRON and DREAM are initialized on a daily basis using the dust concentration from the previous forecast cycle, while the TAU model initialization is based on the Total Ozone Mapping Spectrometer aerosol index (TOMS AI). The quantitative comparison shows that (1) the use of four-particle-size bins in the dust modeling instead of only one-particle-size bins improves dust forecasts; (2) cloud presence could contribute to noticeable dust forecast errors in SKIRON and DREAM; and (3) as far as the TAU model is concerned, its forecast errors were mainly caused by technical problems with TOMS measurements from the Earth Probe satellite. As a result, dust forecast errors in the TAU model could be significant even under cloudless conditions. The DREAM versus lidar quantitative comparisons at different altitudes show that the model predictions are more accurate in the middle part of dust layers than in the top and bottom parts of dust layers. Copyright 2007 by the American Geophysical Union. (EN)

English

Ερευνητικό υλικό ΕΚΠΑ

https://creativecommons.org/licenses/by-nc/4.0/




*Institutions are responsible for keeping their URLs functional (digital file, item page in repository site)