 |
| Titel |
Very-short range forecasting system for 2018 Pyeonchang Winter Olympic and Paralympic games |
| VerfasserIn |
Ji-Eun Nam, Kyungjeen Park, Minyou Kim, Changhwan Kim, Sangwon Joo |
| Konferenz |
EGU General Assembly 2016
|
| Medientyp |
Artikel
|
| Sprache |
en
|
| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 18 (2016) |
| Datensatznummer |
250126023
|
| Publikation (Nr.) |
 EGU/EGU2016-5694.pdf |
|
|
|
|
|
| Zusammenfassung |
| The 23rd Olympic Winter and the 13th Paralympic Winter Games will be held in
Pyeongchang, Republic of Korea respectively from 9 to 25 February 2018 and from 9 to 18
February 2018. The Korea Meteorological Administration (KMA) and the National
Institute for Meteorological Science (NIMS) have the responsibility to provide weather
information for the management of the Games and the safety of the public. NIMS will
carry out a Forecast Demonstration Project (FDP) and a Research and Development
Project (RDP) which will be called ICE-POP 2018. These projects will focus on
intensive observation campaigns to understand severe winter weathers over the
Pyeongchang region, and the research results from the RDP will be used to improve the
accuracy of nowcasting and very short-range forecast systems during the Games.
To support these projects, NIMS developed Very-short range Data Assimilation
and Prediction System (VDAPS), which is run in real time with 1 hour cycling
interval and up to 12 hour forecasts. The domain is covering Korean Peninsular
and surrounding seas with 1.5km horizontal resolution. AWS, windprofiler, buoy,
sonde, aircraft, scatwinds, and radar radial winds are assimilated by 3DVAR on 3km
resolution inner domain. The rain rate is converted into latent heat and initialized
via nudging. The visibility data are also assimilated with the addition of aerosol
control variable. The experiments results show the improvement in rainfall over south
sea of Korean peninsula. In order to reduce excessive rainfalls during first 2 hours
due to the reduced cycling interval, the data assimilation algorithm is optimized. |
|
|
|
|
|
|