• Korean Journal of Soil Science and Fertilizer
• /
• v.17 no.3
• /
• pp.307-313
• /
• 1984

The lapse rate of air temperature with respect to the elevation in the Taebaek Mountainous area was calculated and its application to recommendation for the safe cropping period in rice cultivation was attempted. The data for three sites of elevations at 300, 540 and 832-m above sea level were collected from the Regional Rural Guidance Office of Pyungchang Gun. The lapse rate ranged from $0.53^{\circ}C$ per 100-m elevation on January to $1.02^{\circ}C$ on March with average of $0.69^{\circ}C$. The estimated period of possible rice cropping decreased by the rate of 7 to 8 days per 100-m elevation. The rice variety requiring the cumulative temperature of $1800^{\circ}C$ such as Taeback-byo in Jinbu area could be cultivated below 300-m of altitude under the Taebaek Mountainous climatic condition. The variety requiring the cumulative temperature of $1400^{\circ}C$ such as Songjeon-byo could be adaptable up to the 500-m altitude for safe cultivation.

• The Journal of Engineering Geology
• /
• v.15 no.3
• /
• pp.325-335
• /
• 2005

Deterioration depths of rock slope due to freezing-thawing were calculated using the 1-D heat conductivity equation. The temperature distribution analysis was carried out using temperature distribution data for last two years of the five major cities such as Seoul, Daejeon, Pohang, Gwangju and Cangneung. The analysis was performed based on three different types of rocks, sandstone, granite and gneiss. This study has found that the deterioration depths tend to be greater with the increase of the thermal conductivity coefficient in Seoul, Daejeon and Pohang where showing relatively greater temperature deviations. Regarding the influence of rock types, deterioration depths turned out to be greater in Gwangju and Gangneung where show relatively smaller temperature deviations among the five cities, assuming these cities are on the granite with thermal conductivity of $55,200\;cal/m\timesday\times^{\circ}C$. In contrast, for the other rock types, cities of relatively geater temperature deviations show deeper deterioration depth than the others. Deterioration depths of rock slope in Korea due to freezing-thawing fumed out to be around 8.4 m to 10.7 m.

• Journal of Korea Water Resources Association
• /
• v.33 no.4
• /
• pp.437-446
• /
• 2000

THe drought analysis is performed by applications of truncation level method and conditional probability concept for hydrologic time series in Han river basin. The distributed trend of conditional probability is determined using kriging method for the time series. This study uses daily flowrate, monthly rainfall, and daily high temperature data sets. The daily flowrate data of 12 years(1986~1997) is used for the analysis. Also, the 14 years' data sets(1986~1999) for monthly rainfall and daily high temperature obtained from the National Weather Service of Korea are used in this study. In the cases of flowrate and rainfall data sets, the estimated value corresponding to the truncation level is decreased as the truncation level is increased but in the high temperature data, the value is increased as the truncation level is increased. The conditional probability varies according to the observations and sites. However, the distributed trend of drought is similar over the basin. As a result, the possibility of the drought is high in the middle and lower parts of Han river basin and thus it is recommended the distributed trend of drought be considered when the plan or measures for drought are established.

• Korean Journal of Agricultural and Forest Meteorology
• /
• v.18 no.3
• /
• pp.135-142
• /
• 2016

The aim of this study was to confirm the improvement of efficiency for temperature estimation at 0600 and 1500 LST by using a simple method for estimating temperature lapse rate modulated by the amount of clouds in comparison with the case adopting the existing single temperature lapse rate ($-6.5^{\circ}C/km$ or $-9^{\circ}C/km$). A catchment of the 'Hadong Watermark2,' which includes Hadong, Gurye, and Gwangyang was selected as the area for evaluating the practicality of the temperature lapse rate estimation method. The weather data of 0600 and 1500 LST at 12 weather observation sites within the catchment were collected during the entire year of 2015. Also, the 'sky condition' of digital forecast products of KMA in 2015 ($5{\times}5km$ lattice resolution) were overlapped with the catchment of the 'Hadong Watermark2,' to calculate the spatial average value within the catchment, which were used to simulate the 0600 and 1500 LST temperature lapse rate of the catchment. The estimation errors of the temperatures at 0600 LST were ME $-0.39^{\circ}C$ and RMSE $1.45^{\circ}C$ in 2015, when applying the existing temperature lapse rate. Using the estimated temperature lapse rate, they were improved to ME $-0.19^{\circ}C$ and RMSE $1.32^{\circ}C$. At 1500 LST, the effect of the improvements found from the comparison between the existing temperature lapse rate and the estimated temperature lapse rate were minute, because the estimated lapse rate of clear days is not very different from the existing lapse rate. However, the estimation errors of the temperatures at 1500 LST during cloudy days were improved from ME $-0.69^{\circ}C$, RMSE $1.54^{\circ}C$ to ME $-0.51^{\circ}C$, RMSE $1.19^{\circ}C$.

• Journal of the Korean Geographical Society
• /
• v.43 no.5
• /
• pp.681-700
• /
• 2008

In this study, the spatial and temporal patterns of changes in means and extreme events of temperature and precipitation across the Republic of Korea over the last 35 years (1973-2007) are examined. Over the study period, meteorological winter (December-February) mean minimum (maximum) temperature has increased by $+0.54^{\circ}C$/decade ($+0.6^{\circ}C$/decade), while there have been no significant changes in meteorological summer (June-August) mean temperatures. According to analyses of upper or lower $10^{th}$ percentile-based extreme temperature indices, the annual frequency of cool nights (days) has decreased by -9.2 days/decade (-3.3 days/decade), while the annual frequency of warm nights (days) has increased by +4.9 days/decade (+6.8 days/decade). In contrast, the increase rates of summer warm nights (+8.0 days/$^{\circ}C$) and days (+6.6 days/$^{\circ}C$) relative to changes in summer means minimum and maximum temperatures means are greater than the decreasing rates of winter nights (-5.2 days/$^{\circ}C$) and days (-4.3 days/$^{\circ}C$) relative to changes in winter temperatures. These results demonstrate that seasonal and diurnal asymmetric changes in extreme temperature events have occurred. Moreover, annual total precipitation has increased by 85.5 mm/decade particularly in July and August, which led to the shift of a bimodal behavior of summer precipitation into a multi-modal structure. These changes have resulted from the intensification of heavy rainfall events above 40mm in recent decades, and spatially the statistically-significant increases in these heavy rainfall events are observed around the Taebaek mountain region.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.19 no.4
• /
• pp.199-217
• /
• 2016

Influences of seasonal warming and cooling rates on the annual temperature patterns were analyzed based on the meteorological data from 13 weather stations in Busan Metropolitan Area(BMA), Korea during 1997~2014. BMA daily temperature time-series was generalized by Fourier analysis, which mathematically summarizes complex, regularly sampled periodic records, such as air temperature, into a limited number of major wave components. Local monthly warming and cooling rates of BMA were strongly governed by the ocean effect within the city. March($1.121^{\circ}C/month$) and November(-$1.564^{\circ}C/month$) were the two months, when the most rapid warming and cooling rates were observed, respectively during the study period. Geographically, spring warming rates of inland increased more rapidly compared to coastal areas due to weaker ocean effect. As a result, the annual maximum temperature was reached earlier in a location, where the annual temperature range was larger, and therefore its July mean temperature and continentality were higher. Interannual analyses based on average temperature data of all weather stations also showed that the annual maximum temperature tended to occur earlier as the city's July mean temperature increased. Percent area of impervious surfaces, an indicator of urbanization, was another contributor to temperature change rates of the city. Annual mean temperature was positively correlated with percent area of impervious surfaces, and the variations of monthly warming and cooling rates also increased with percent area of impervious surfaces.

• Korean Journal of Agricultural and Forest Meteorology
• /
• v.25 no.2
• /
• pp.80-98
• /
• 2023

This study explores the effectiveness of various data preprocessing algorithms for improving subseasonal to seasonal (S2S) climate predictions from six climate forecast models and their Multi-Model Ensemble (MME) using a deep learning-based postprocessing model. A pipeline of data transformation algorithms was constructed to convert raw S2S prediction data into the training data processed with several statistical distribution. A dimensionality reduction algorithm for selecting features through rankings of correlation coefficients between the observed and the input data. The training model in the study was designed with TimeDistributed wrapper applied to all convolutional layers of U-Net: The TimeDistributed wrapper allows a U-Net convolutional layer to be directly applied to 5-dimensional time series data while maintaining the time axis of data, but every input should be at least 3D in U-Net. We found that Robust and Standard transformation algorithms are most suitable for improving S2S predictions. The dimensionality reduction based on feature selections did not significantly improve predictions of daily precipitation for six climate models and even worsened predictions of daily maximum and minimum temperatures. While deep learning-based postprocessing was also improved MME S2S precipitation predictions, it did not have a significant effect on temperature predictions, particularly for the lead time of weeks 1 and 2. Further research is needed to develop an optimal deep learning model for improving S2S temperature predictions by testing various models and parameters.

• Korean Journal of Remote Sensing
• /
• v.33 no.5_2
• /
• pp.709-720
• /
• 2017

In this study, we tried to analyze the correlation between corn yield and, satellite-based vegetation index, NDVI (Normalized Difference Vegetation Index) and various climatic factors in the three provinces of Northeast China during the past 20 years (1996-2015). The corn yields in the corn cultivation area of all three provinces showed a statistically significant positive correlation with the NDVI of the harvest period. Also, these have significant negative correlation with the daily maximum temperature in August and September and the occurrence frequency of above $30^{\circ}C$ for the summer season. The correlation between the corn yields and the precipitation showed a significant positive coefficient in only Liaoning Province in July, but the correlation was not found in Jilin and Heilongjiang Provinces. In this study, the NDVI and the daily maximum temperature data are suitable to be used as predictors of corn yield in the three provinces of Northeast China provinces.

• 주택과사람들
• /
• s.192
• /
• pp.100-105
• /
• 2006

'낭만' 하면 떠오르는 나라 프랑스에서도 손꼽히는 지중해 최대의 휴양 도시, 니스! 리비에라의 여왕이란 말이 있을 정도로 니스는 유럽인들이 최고로 선호하는 휴양지 중 하나다. 에메랄드빛 바다와 청명한 하늘, 한겨울에도 영상 10℃를 넘는 기온, 양호한 자연 환경, 아름다운 경치로 인해 니스에는 사시사철 관광객이 몰려든다.

• Journal of Bio-Environment Control
• /
• v.27 no.1
• /
• pp.80-85
• /
• 2018

This study was carried out to clarify the effect of CHO-CO and PO film on air temperature in greenhouse and Korean melon fruit characteristics and yield. On January 8 in 2017, the maximum, minimum and average air temperature in greenhouse covered with CHO-CO film were $38.9^{\circ}C$, $13.4^{\circ}C$ and $20.1^{\circ}C$, respectively. At the same date, the maximum, minimum and average air temperature in greenhouse covered with PO film were $40.0^{\circ}C$, $14.9^{\circ}C$ and $20.3^{\circ}C$, respectively. On August 7 in 2017, the maximum, minimum and average air temperature in greenhouse covered with CHO-CO film were $47.2^{\circ}C$, $23.1^{\circ}C$ and $32.4^{\circ}C$, respectively, and the maximum, minimum and average air temperature in greenhouse covered with PO film were $50.3^{\circ}C$, $23.6^{\circ}C$ and $34.0^{\circ}C$, respectively. The results of investigation of qualities and yields of Korean melons from May 26 to August 15 in 2017 were as follows. The fruit weight of Korean melon harvested in CHO-CO film's greenhouse was 371.6g which was 22.2g less than that of PO film greenhouse. The sugar contents of Korean melon harvested in CHO-CO film greenhouse was $14.5^{\circ}brix$ which was $1.4^{\circ}brix$ greater than that of the fruits harvested in PO film greenhouse. The chromaticity (a-value) of fruit skin of Korean melon harvested in CHO-CO film greenhouse was 12.3 which was 1.5 greater than that of the fruits harvested in PO film greenhouse. The marketable yield rate of Korean melon harvested in CHO-CO film's greenhouse was 89.4% which was 8.0% higher than the fruits harvested in PO film greenhouse. The yield of Korean melon harvested in CHO-CO film's greenhouse was 2694kg per 10 a which was 26% more than that harvested in PO film greenhouse. In conclusion, the CHO-CO film could be effective to produce Korean melon in high temperature season.