• Korean Journal of Agricultural and Forest Meteorology
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• v.25 no.2
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• pp.80-98
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• 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 CROP SCIENCE
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• v.68 no.4
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• pp.225-235
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• 2023

Critical temperature for grain filling of three Korean japonica rice varieties was analyzed by late transplantation to induce a low temperature during grain filling period in a field study. The grain filling percentage (GFP) and grain dry weight (GDW) showed a sigmoid development for the first and second transplants in 2020 and first to third transplants in 2021. For the third transplant in 2020 and fourth transplant in 2021, the GFP and GDW reached a peak at 42 days after heading (DAH), and then decreased or remained unchanged. In non-linear regression analyses, 95% of the final GFP and GDW appeared at 49 - 62 DAH for the second transplant in 2020 and at 37 - 46 DAH and 30 - 36 DAH for the second and third transplants in 2021, respectively. At these time points, the critical seven-day moving temperature (7dMovT) was 8.4~9.4℃ for the second transplant in 2020 and 9.4~10.9℃ for the second and third transplants in 2021, depending on the grain filling traits and varieties of rice. The lowest 7dMovT was 8.4 - 8.7℃ in the three varieties. The observed lowest 7-day mean temperature (7dMT) accompanying increases in the GFP and GDW was 9.4 - 10.1℃, depending on the varieties in the third transplant of 2020 and fourth transplant of 2021. In the two transplants mentioned above, the highest 7dMT that showed no increase or decrease in grain filling traits was 8.7 - 9.1℃. The critical temperature for grain filling of japonica rice was 8.4 - 8.7℃ based on the 7dMovT and 9.1 - 9.4℃ based on the 7dMT. The previous 7dMT of 10℃ is recommended to determine the marginal harvest time for safe rice cropping since the temperature was the highest among the lowest temperature that accompanied an increase in grain filling traits.

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

• Korean Journal of Remote Sensing
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• v.20 no.2
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• pp.65-76
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• 2004

This study aims to estimate daily maximum air temperature estimated using satellite-derived surface temperature and Elevation Derivative Database (EDD). The analysis is focused on the establishment of a semi-empirical estimation technique of daily maximum air temperature through the multiple regression analysis. This tests the contribution of EDD in the air temperature estimation when it is added into regression model as an independent variable. The better correlation is shown with the EDD data as compared with the correlation without this data set. In order to provide a progressive estimation technique, we propose and compare three approaches: 1) seasonal estimation non-considering landcover, 2) seasonal estimation considering landcover, and 3) estimation according to landcover type and non-considering season. The last method shows the best fit with the root-mean-square error between 0.56$^{\circ}C$ and 3.14$^{\circ}C$. A cross-validation procedure is performed for third method to valid the estimated values for two major landcover types (cropland and forest). For both landcover types, the validation results show reasonable agreement with estimation results. Therefore it is considered that the estimation technique proposed may be applicable to most parts of South Korea.

• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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• pp.352-356
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• 2012

본 연구는 최근 우리나라 4대강 중 한강의 기후변화로 인한 온도, 상대습도, 강우량의 관측자료를 통해 과거와 최근의 변동특성에 대해서 파악하고자 하였다. 이를 위해 기상청의 관측자료를 활용하였으며 한강의 상, 중, 하류로 나눠서 3개 지점에 대해 선정하였다. 선정 기준은 인위적인 영향을 많이 받는 도시지역을 제외한 도서 지역에 위치한 관측소를 기준으로 선정하였다. 분석을 실시한 항목으로는 최고, 최저, 평균기온 및 상대습도, 연강우량, 일 최고 강우량, 강우 집중률이 있으며 강우 집중률은 강우량에 의한 강우강도의 변동 특성을 파악하기 위해 분석하였다. 과거(~1994)와 최근(1995~2011)의 변동성을 파악하기 위해 각 항목별로 비모수적 검정을 실시하고, 상위 10개를 선정한 자료를 이용하여 분석하였다. 비모수적 검정으로는 Mann-Kendall, Hotelling-Pabst, Sen's Trend Test를 이용하였고, 표준정규변량을 통해 과거와 최근의 경향성을 비교하였다. 연구 지점 중 양평의 평균 기온은 상위 10개 중 9개가 최근 자료에서 선정되었고 경향성의 유의수준도 더 높게 나타났다. 최저 상대습도는 과거에 비해 최근에 더 높은 유의수준의 하강하는 경향성을 가지는 것으로 나타나, 기후변화로 인한 지구온난화가 진행되고 있다는 것을 보여주고 있다. 연강수량은 최근 자료에 상위 8개가 나타났고, 표준정규변량 또한 높은 유의수준을 가지며 증가하는 것으로 나타났다. 일 최고 강수량, 강우집중률 또한 상위 10개 관측자료 중 1995년 이후 7개가 관측되었고, 이는 강우강도가 증가하는 것으로 판단할 수 있다. 상대습도의 경우 평균 및 최소 상대습도에서 2개가 관측 되어 기온은 상승하고 강우는 집중되는 반면 상대습도는 온도의 영향 이외에도 낮아지는 경향을 보여 오난해지는 가운데 건조해지는 경향을 보임을 알 수 있었다.

• Journal of the Korean Geographical Society
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• v.42 no.3 s.120
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• pp.332-343
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• 2007

This study aims to examine the distribution of heat waves and to understand its cause for 33 years$(1973\sim2005)$ from 60 weather stations in Korea. Heat wave is defined as a period of 3 or more days with a daily maximum temperature exceeds the 95th percentile. In the inland of Chungcheong region, the Chungcheong western costal region, the inland of Jeolla region, the inland of Gyeongsang region and the southern region of Jeju island, heat wave days appeared more than 160 days. In the middle region of eastern costal and the northern region of Jeju island, heat wave days were less than 110 days. In regions that were heavily influenced by southwesterly winds during the occurrence of heat waves, such as the inland of Chungcheong region, the Chungcheong western costal region, the inland of Jeolla region and the inland of Gyeongsang region, heat waves continued for the longer term.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.62 no.4
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• pp.304-310
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• 2017

This study was conducted over a 3-year period from 2013 to 2015 in the mid-northern inland, Cheolweon, Korea, to investigate changes in flowering date, daily mean temperature during grain filling, and yield characteristics affected by transplanting date in an early-maturing rice variety, 'Joun'. Thirty-day-old seedlings were transplanted at four different dates at 15-day interval from May 5 to June 19. Flowering dates were July 16, July 21, July 31, and August 14 when transplanting was performed on May 5, May 20, June 4, and June 19, respectively. Late transplanting resulted in higher daily mean temperature before flowering but late-transplanted rice required fewer days and lower cumulative temperature to reach flowering from transplanting. As transplanting was delayed, daily mean temperature for 40 days after flowering decreased, whereas daily sunshine hours for the same period increased, with a temperature of $24.8^{\circ}C$ and sunshine for 5.8 hours being recorded at the transplanting on May 5, and with a temperature of $21.0^{\circ}C$ and sunshine for 7.7 hours at the transplanting on June 19. With late transplanting, panicles per square meter significantly decreased, whereas spikelets per panicle showed an increasing trend. Regression analysis showed that maximum head rice yield was attained from the transplanting on May 18, for which the flowering date was July 21, and daily mean temperature for 40 days from that flowering date was $24.6^{\circ}C$. A decrease in head rice yield by 5% and 10% of the maximum was observed for rice transplanted on June 6 and June 15, which resulted in flowering dates of August 2 and August 11, respectively, and the daily mean temperatures for 40 days from flowering were 23.2 and $21.7^{\circ}C$, respectively. Therefore, in mid-northern inland, it is recommended to transplant 'Joun' on May 18 to induce flowering on July 21, when grain filling is subjected to a daily mean temperature of $24.6^{\circ}C$ during active filling stage.

• Proceedings of the Korean Environmental Sciences Society Conference
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• 2004.05a
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• pp.32-36
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• 2004

본 연구는 최근 인구와 산업체가 급증하고 있는 김해시를 대상으로 김해시.군을 통합한 1996년 이후부터 2002년까지 김해시 지상오존농도의 변화경향과 고농도 오존일에 대한 사례 연구결과 다음과 같다. 김해시 대기오염농도의 시계열변화는 증가추세가 뚜렷하였으며, 최근 대기환경기준이 강화되면서 환경지정기준을 초과하기도 하였다. 계절별 오존농도의 일변화는 사계절 가운데 봄철이 가장 농도가 높게 나타났으며 매년 증가하는 농도폭도 가장 크게 나타났다. 이는 여름철의 경우 태양고도가 높고 단위시간당 일사량은 많으나, 장마와 같은 운량 증가로 인한 일사량의 감소되거나, 기온이 상승할 경우 해안으로부터 해풍이 증가하여 여름보다는 봄철에 더 높은 농도를 나타낸 것으로 생각되며, 인구와 자동차 등의 증가로 인한 배출량이 증가한 것도 크게 영향을 미친 것으로 생각된다. 연구기간동안 60 ppb 이상의 고농도 오존일의 총 발생빈도는 237일로 나타났으며, 매년 발생빈도가 증가하고 있으며, 대기환경기준 100 ppb/hr를 초과한 날도 8일이나 되었는데, 1999년이 4일 발생하여 오존에 의한 대기오염규제지역으로 선정되었는데, 고농도 오존일은 지난 1997년 이후 매년 증가하고 있으며 겨울을 제외한 전 월에 발생하는 특징을 나타내어 오존의 저감을 위한 실천 계획 수립뿐 아니라 고농도 오존일에 대한 집중적인 연구와 빠른 시간 내에 오존의 예.경보제를 도입 운영하는 것이 김해시민의 건강과 복지에 도움이 될 것으로 생각된다. 고농도 오존일에 대한 사례일 첫 번째인 5월 1일은 일 최고 기온은 그리 높은 상태는 아니었지만 광범위한 이동성 고기압에 의해 대기가 정체하고 바람이 약한 시점에 광화학반응에 의한 오존생성이 용이하였고 해안가의 높은 농도의 오존이 수송되어 고농도 오존이 발생하였으며, 사례 2의 경우 대륙에서 이동해 오는 이동성 고기압의 영향으로 대기는 안정하고 바람이 약하여 기온이 급상승하였으며, 광화학반응에 의한 오존 생성이 용이하였다. 사례 3의 경우는 남북으로 놓여 있는 대규모 기압계 사이에 안상부 형태의 대상고기압이 놓여 대기는 매우 안정하고 바람이 약하며 때때로 기압계에 의한 바람이 불 경우 다소 강한 바람이 불어 일사량이 많은 기압계에서 광화학반응과 수소에 의한 오존생성이 용이하여 고농도 오존을 발생하였다.

• Journal of Korea Water Resources Association
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• v.54 no.9
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• pp.693-704
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• 2021

The purpose of this study is to evaluate the relationship between heat wave and river water quality. The daily maximum air temperature (Tmax) of 91 meteorological stations of the Korea Meteorological Administration and 13 river water quality factors (DO, BOD, COD, TOC, TN, DTN, NH4-N, NO2-N, NO3-N, TP, DTP, PO4-P, Chl-a) of Ministry of Environment were analyzed. The correlation analysis was performed on Tmax and water quality factors, and the determination coefficients (R²) of DO, Chl-a, and TN with Tmax showed high values of 0.782, 0.609, and 0.691 respectively. To analyze the spatial impact between heat waves and water quality factors, the heat wave intensity (HWI) and heat wave duration (HWD) were calculated using the Tmax. The hotspot and spatial statistical analyses were applied for spatial impact evaluation. As a result of hotspot analysis, the heat wave index (HWD, HWI) showed high spatial pattern in the downstream of Nakdong River basin, and Chl-a and TN showed the same pattern. In case of spatial statistical analysis for water quality due to heat wave, the most obvious spatial variability was DO.

• Journal of the Korean Society of Marine Environment & Safety
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• v.23 no.5
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• pp.497-512
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• 2017

Temporal and spatial variations in surface water temperature were studied using data from temperature monitoring buoys deployed at 47 stations around Boryeong from 2011-2012 off the west coast of Korea. Temperature fluctuations are predominant at diurnal and semidiurnal periods for all seasons, and their amplitudes are large in spring and summer but small in autumn. The maximum annual change in air temperature takes place on August 2nd and August 22th for water temperature, which means the phase for air temperature precedes water temperature by 20 days. The diurnal period of water temperature fluctuation is predominant around Daecheon and Muchangpo Harbors, with the semidiurnal period around Wonsan Island, and the shallow water constituent period on the estuary around Daecheon River. On the whole, air and water temperatures fluctuate with wind. Spectral analyses of temperature records show significant peaks at the 0.5, 1 and 15 day marks with 7-10 day periods of predominant fluctuations. Cross-correlation analyses for the temperature fluctuation show that the waters around Boryeong can be classified into four areas: a mixed water zone around the southeast side of Wonsan Island, an off-shore area to the west, an off-shore area to the south and a coastal area along the shore from Song Island to Muchangpo Harbor.