독립적인 기온 감률에 기초한 MK-PRISM의 개선
Improvement of Modified Korean Parameter-elevation Regressions an Independent Slopes Model based on Independent temperature lapse rate
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초록
In this study, we developed IS-HYPS(Independent Slopes Hypsometric) method in order to complement the weakness of existing MK-PRISM (Modified Korean-Parameter-elevation Regressions an Independent Slopes Model) version 1.1, and verified the IS-HYPS by applying the method to daily temperature data for recent 11 years from 2000 to 2010. Analysis Results show that IS-HYPS method is nicely applicable in regions where elevation of target grid is high and elevation of surrounding stations are not distributed evenly. Verification results also show that RMSE (Root Mean Square Error) of IS-HYPS method is about 20 % smaller than that of MK-PRISM 1.1 (0.44°C for daily mean temperature, 0.47°C for daily maximum temperature, and 0.58°C for daily minimum temperature) and have a trend to estimate temperature lower than MK-PRISM 1.1. The favorable condition to apply the method found to be the regions where the difference in standard deviation of elevation of observation stations is larger than 70m between with and without target grid inside the searching range of radius, indicating that MK-PRISM version 2.0 can produce temperature grid data reasonably well by applying the IS-HYPS selectively to the best condition.
Abstract
In this study, we developed IS-HYPS(Independent Slopes Hypsometric) method in order to complement the weakness of existing MK-PRISM (Modified Korean-Parameter-elevation Regressions an Independent Slopes Model) version 1.1, and verified the IS-HYPS by applying the method to daily temperature data for recent 11 years from 2000 to 2010. Analysis Results show that IS-HYPS method is nicely applicable in regions where elevation of target grid is high and elevation of surrounding stations are not distributed evenly. Verification results also show that RMSE (Root Mean Square Error) of IS-HYPS method is about 20 % smaller than that of MK-PRISM 1.1 (0.44°C for daily mean temperature, 0.47°C for daily maximum temperature, and 0.58°C for daily minimum temperature) and have a trend to estimate temperature lower than MK-PRISM 1.1. The favorable condition to apply the method found to be the regions where the difference in standard deviation of elevation of observation stations is larger than 70m between with and without target grid inside the searching range of radius, indicating that MK-PRISM version 2.0 can produce temperature grid data reasonably well by applying the IS-HYPS selectively to the best condition.
참고문헌 (13)
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