 |
| Titel |
Improved nowcasting of precipitation based on convective analysis fields |
| VerfasserIn |
M. Steinheimer, T. Haiden |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
1680-7340
|
| Digitales Dokument |
URL |
| Erschienen |
In: Observation, Prediction and Verification of Precipitation (EGU Session 2006) ; Nr. 10 (2007-04-26), S.125-131 |
| Datensatznummer |
250007863
|
| Publikation (Nr.) |
 copernicus.org/adgeo-10-125-2007.pdf |
|
|
|
|
|
| Zusammenfassung |
| The high-resolution analysis and nowcasting system INCA
(Integrated Nowcasting through
Comprehensive Analysis) developed at the Austrian
national weather service provides three-dimensional fields of
temperature, humidity, and wind on an hourly basis, and
two-dimensional fields of precipitation rate in 15 min intervals.
The system operates on a horizontal resolution of 1 km and a
vertical resolution of 100–200 m. It combines surface station data,
remote sensing data (radar, satellite), forecast fields of the
numerical weather prediction model ALADIN, and high-resolution
topographic data. An important application of the INCA system is
nowcasting of convective precipitation. Based on fine-scale
temperature, humidity, and wind analyses a number of convective
analysis fields are routinely generated. These fields include
convective boundary layer (CBL) flow convergence and specific
humidity, lifted condensation level (LCL), convective available
potential energy (CAPE), convective inhibition (CIN), and various
convective stability indices. Based on the verification of areal
precipitation nowcasts it is shown that the pure translational
forecast of convective cells can be improved by using a decision
algorithm which is based on a subset of the above fields, combined
with satellite products. |
| |
|
| Teil von |
|
|
|
|
|
|
|
|