 |
| Titel |
Impact of Boundary Conditions on Extreme Climate Simulation over South-Korea in the CORDEX-East Asia Domain Using RegCM4 |
| VerfasserIn |
S. G. Oh, M. S. Suh, D. H. Cha, H. S. Kang |
| Konferenz |
EGU General Assembly 2012
|
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 14 (2012) |
| Datensatznummer |
250064917
|
|
|
|
|
|
| Zusammenfassung |
| The COordinated Regional climate Downscaling Experiment (CORDEX) is a framework
devoted to coordinate international efforts on regional climate simulations. National
Institute of Meteorological Research of KMA organizes a domestic collaborative
research project for contributing to the CORDEX East Asia. Within the evaluation
framework of CORDEX, the goal of this study is to produce 20-year regional climate and
also to assess the performance skills of different regional climate models (RCMs;
e.g., RegCM4, RSM, WRF, and SNURCM). In this work, we will present the two
sets of extreme climate simulation results of RegCM4 over South-Korea in the
CORDEX-East Asia Domain driven by the two different lateral boundary conditions (LBCs)
data, ERA-Interim (ERA) and NCEP/DOE reanalysis (R-2) during the 20 years
(1989-2008). For the validation of RegCM4 extreme climate simulations, the climate
stations daily data (precipitation, maximum/minimum temperature) from KMA
were used. We consider two types definition of extremes based on the intensity
and frequency, as the number of days with extreme events (four categories: frost,
hot, wet, and dry days) exceeding absolute threshold values and the average of the
highest/lowest 5% (percentile thresholds) values at the each station for each year.
Although the RegCM4 underestimated the frequency and intensity of daily extreme
climate events compared to the observation regardless of the LBC, the RegCM4
successfully simulates the inter-annual variations of the four categories and the
highest (lowest) 5% mean maximum (minimum) temperature and precipitation.
The highest/lowest 5% maximum/minimum temperature (precipitation) simulated
by RegCM4 using ERA was systematically higher (stronger) than those by using
R-2 over South-Korea during simulation period. And maximum temperature and
heavy precipitation is better simulated when driven by ERA than R-2, on the other
hand, minimum temperature is better simulated when driven by R-2. As a result, the
RegCM4 using R-2 better simulates the total frequency and inter-annual variability
of the frost days and dry days, on the other hand, using ERA better simulates the
total frequency and inter-annual variations of the hot days and wet days. And the
RegCM4 well simulates the inter-annual variations of extreme climates (R > 0.78). |
|
|
|
|
|
|