Academic Journals Database
Disseminating quality controlled scientific knowledge

Efficient high-resolution 3-D interpolation of meteorological variables for operational use

ADD TO MY LIST
 
Author(s): C. Lussana | M. R. Salvati | U. Pellegrini | F. Uboldi

Journal: Advances in Science and Research
ISSN 1992-0628

Volume: 3;
Start page: 105;
Date: 2009;
VIEW PDF   PDF DOWNLOAD PDF   Download PDF Original page

ABSTRACT
In recent years, the use of mesoscale meteorological network data has been growing. An Optimal Interpolation (OI) method is used to interpolate on a regular grid the hourly averaged values of temperature, relative humidity, wind vector, atmospheric pressure, and hourly cumulated precipitation. For all variables, except precipitation, the background (i.e. first guess) information is obtained by detrending the observations using the geographical parameters. For precipitation, the M. Lema radar-derived best estimate of precipitation rate at the ground is used. The characteristics of the OI schemes are shown in several test cases using data from ARPA Lombardia's mesoscale meteorological network. Finally, a quantitative diagnostics for temperature and relative humidity is carried out by using Cross Validation (CV) scores computed with large sets of data.
RPA Switzerland

Robotic Process Automation Switzerland

    

Tango Jona
Tangokurs Rapperswil-Jona