Tropical Cyclone Bogussing Impact on Numerical Weather Prediction
Abstract
Tropical Cyclone (TC) is a highly impact weather phenomenon on the Korean Peninsula. KMA has applied TC bogus process to produce realistic initial fields for Global Data Assimilation and Prediction System (GDPS) for accurate TC forecasting since 2010, when the Unified Model (UM) of UK Met Office (UKMO) was introduced as an operational model. In June 2018, GDPS has been upgraded based on PS40 N1280 of UKMO with significantly increased its horizontal resolution from 17 km to 10 km. The new version of GDPS showed improved performance in TC prediction, especially from an intensity perspective. Therefore we reevaluated the impact of TC bogussing on TC forecasts.
- Publication:
-
AGU Fall Meeting Abstracts
- Pub Date:
- December 2019
- Bibcode:
- 2019AGUFM.A23V2994L
- Keywords:
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- 0315 Biosphere/atmosphere interactions;
- ATMOSPHERIC COMPOSITION AND STRUCTURE;
- 0360 Radiation: transmission and scattering;
- ATMOSPHERIC COMPOSITION AND STRUCTURE;
- 3372 Tropical cyclones;
- ATMOSPHERIC PROCESSES;
- 4313 Extreme events;
- NATURAL HAZARDS