| Autor: |
Dae-Jun Kim, Jin I. Yun, Soo-ock， Kim, Jin-Hee Kim |
| Rok vydání: |
2013 |
| Předmět: |
|
| Zdroj: |
Korean Journal of Agricultural and Forest Meteorology. 15:76-84 |
| ISSN: |
1229-5671 |
| DOI: |
10.5532/kjafm.2013.15.2.076 |
| Popis: |
An adequate downscaling of the official forecasts of Korea Meteorological Administration (KMA) is a prerequisite to improving the value and utility of agrometeorological information in rural areas, where complex terrain and small farms constitute major features of the landscape. In this study, we suggest a simple correction scheme for scaling down the KMA temperature forecasts from mesoscale (5 km by 5 km) to the local scale (30 m by 30 m) across a rural catchment, especially under temperature inversion conditions. The study area is a rural catchment of 50 km 2 area with complex terrain and located on a southern slope of Mountain Jiri National Park. Temperature forecasts for 0600 LST on 62 days with temperature inversion were selected from the fall 2011-spring 2012 KMA data archive. A geospatial correction scheme which can simulate both cold air drainage and the so-called ‘thermal belt’ was used to derive the site-specific temperature deviation across the study area at a 30 m by 30 m resolution from the original 5 km by 5 km forecast grids. The observed temperature data at 12 validation sites within the study area showed a substantial reduction in forecast error: from ±2 o C to ±1 o C in the mean error range and from 1.9 o C to 1.6 o C in the root mean square error. Improvement was most remarkable at low lying locations showing frequent cold pooling events. Temperature prediction error was less than 2 o C for more than 80% of the observed inversion cases and less than 1 o C for half of the cases. Temperature forecasts corrected by this scheme may accelerate implementation of the freeze and frost early warning service for major fruits growing regions in Korea. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
|
