• Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
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• 2014.10a
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• pp.61-73
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• 2014

• Asian-Australasian Journal of Animal Sciences
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• v.21 no.7
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• pp.988-994
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• 2008

The purpose of the investigation was to establish how the pineal-adrenal axis plays an important role in thermoregulation in female goats under short-term heat stress. The study was conducted to observe the influence of glucocorticoids on pineal function in goats and its influence on stress alleviation capability. Melatonin and glucocorticoid secretions and several other endocrine and biochemical blood parameters reflecting the animals well being were determined over a one week period after goats had been exposed to $40^{\circ}C$ and 60% relative humidity for 10 days. Six female goats were used in the study. These animals served as self controls prior to the start of the experiment. The study was conducted for a period of seventeen days in a psychrometric chamber at $40^{\circ}C$ and 60% relative humidity. Chemical pinealectomy was achieved using propranolol followed by exogenous hydrocortisone treatment. Blood samples were drawn twice daily after each treatment to find the effect of hydrocortisone on plasma glucose, total protein, total cholesterol, cortisol, insulin, aldosterone, melatonin and corticosterone. Chemical pinealectomy significantly ($p{\leq}0.05$) affected plasma levels of the parameters studied and these could be significantly ($p{\leq}0.05$) counteracted by administration of hydrocortisone. Chemical pinealectomy aggravated thermal stress, although administration of hydrocortisone could ameliorate the condition. This indicated a role of the pineal in support of thermoregulation. The study establishes the modulating effect of glucocorticoids on pineal activity to relieve thermal stress in goats.

• Asian-Australasian Journal of Animal Sciences
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• v.7 no.1
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• pp.69-74
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• 1994

The relationship of thyroid status and certain blood biochemical constituents with body weight gains (ADG) and age (13 to 96 weeks) was studied in Holstein Friesian ${\times}$ Hariana ($1/2F{\times}1/2H$) crossbred male calves by assessing their plasma triiodo thyronine ($T_3$), Thyroxine ($T_4$), sodium, potassium, total proteins and cholesterol level at two energy levels. Body weight gains (ADG) were higher during the 50 to 72 weeks of age and declined thereafter, the plasma $T_3$ conc. was aignificantly (p < 0.01) higher during this period compared to all other periods. There was no significant variation due to energy level. Overall mean plasma $T_3$ conc. was $1.19{\pm}0.12ng/ml$. Plasma $T_4$ conc. did not show any significant variation either between the different age periods or between the two energy levels. The mean plasma $T_4$ conc. was $37.34{\pm}1.32ng/ml$. The plasma sodium and potassium concentration did not vary significantly due to energy levels. But amongst the different age periods, sodium concentration was highest ($147.70{\pm}2.29mEq/L$) during 49-60 weeks of age and lowest ($134.70{\pm}1.78mEq/L$) during 13-24 weeks, where as for potassium concentration changes were nonsignificant. There was very little variation amongst other periods. Plasma protein level was higher at 100% energy level than at 75%. Amongst the different age period, it was significantly lower ($6.44{\pm}0.36$) during 13 to 24 weeks of age than at 37 to 48 weeks of age ($7.14{\pm}0.11$). Plasma cholesterol values were higher for 75% energy level than that of 100%. Between the periods it was highest during 61 to 72 weeks of age and the difference amongst the age period were highly significant.

• Proceedings of the Korea Water Resources Association Conference
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• 2008.05a
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• pp.2207-2211
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• 2008

한반도 및 동아시아의 여름철은 장마와 태풍으로 인한 집중호우의 발생으로 많은 피해를 입는다. 따라서 여름철에 나타나는 이러한 집중호우가 나타나는 지역, 시기, 기간, 그리고 강수량 등을 예측하는 것은 매우 중요하다. 특히, 효율적인 수자원 관리를 위하여 이러한 예측은 매우 중요한데, 단기적으로 정확하고 신속하게 강수를 예측하는 것도 중요하지만, 장기적으로 계절 강수, 특히 여름철의 장마 또는 우기의 시기와 강수량과 태풍 발생의 시기 등을 미리 예측하여 이에 따른 집중 호우의 발생 지역, 기간, 강수량을 예측하여 사전에 대비하는 것도 매우 중요하다. 특히, 최근에는 6,7월 장마에 의한 집중 호우의 영향보다도 8월에 강수량이 높아지고 있는 경향을 보이므로 강수량의 장기적 경향의 파악이 매우 중요하다. 장기 기후를 예측하는 데는 과거 자료를 이용한 통계 방법도 유용하지만 최근에는 AOGCM (Atmospheric Oceanic General Circulation Model)을 이용한 연구가 활발하게 이루어지고 있다. 하지만 강수와 같이 지역적으로 나타나는 현상은 저해상도의 AOGCM으로는 유용한 정보를 제공하기가 어려움이 따른다. 따라서 본 연구에서는 전구를 삼각형으로 된 20면체로 격자화 시켜 모든 격자의 크기가 거의 동일하고, 해상도 조절이 가능한 Geodesic 격자를 활용한 GME 모델을 사용하였다. GME 모델은 icosahedral-hexagonal grid 격자 체계를 가진 독일 기상청(Deutscher Wetterdient)에서 현업으로 사용 중인 모델이다. 본 연구에서는 수직/수평 해상도를 40km/40layers로 하여 GME 모델을 수행하였으며, 일간격의 장기 기후 자료를 생산하였다. 사용된 초기자료로는 ECMWF (European Centre for Medium Range Weather Forecasts) 자료이며, 경계 자료로는 ERA Climatology의 최근 30년간의 SST (Sea Surface Temperature) 평균 자료를 이용하여 규준 실험(Control Run), 즉, climatology 자료를 생산하였으며, persistent SST 아노말리와 ERA Climatology의 최근 30년간의 SST 자료를 이용하여 내삽 과정을 거친 SST forcing을 주어서 예측 실험(Prediction Run)을 통하여 모의 자료를 생산하였다. 특히, 규준 실험에서는 수치 모델이 가지는 불확실성을 줄이고 예보 정확도를 향상시키기 위하여 각각의 실험은 초기자료를 달리한 앙상블 모의실험을 수행하였다. 장기 모의 3개월을 위하여 모의 기간 1달 전부터 모의를 수행하여, 첫 1달은 모델의 spin-up 시간으로 분석에서 제외 하였다. 생산된 Climatology 자료와 Prediction 자료를 비교하여 아노말리와 Category 분석을 실시하여 한반도 및 동아시아 지역의 강수(Precipitation)를 중심으로 기압장(Pressure), 온도(2m Temperature) 위주로 분석하였다. 이러한 예측된 매 계절의 전망 자료 중에서도 수자원 분야에서 관심이 집중되는 여름철에 초점을 맞추어 실제 관측 자료와 비교하여 GME 모델의 계절 모의 예측성 성능을 분석하여 평가하고 다가올 여름철의 강수량의 장기 변화를 모의하고자 하였다.

• Korean Journal of Agricultural and Forest Meteorology
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• v.22 no.3
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• pp.164-170
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• 2020

The weather conditions, such as temperature, precipitation, and sunshine duration, play one of the key roles in Agriculture. In particular, extreme weather events have crucial impacts on growth and yields of crops. This study estimates statistics of extreme weather events in 167 Si-gun over South Korea derived from high-resolution(30 and 270m) topo-climatology model for key three meteorological variables(temperature, precipitation and sunshine duration). It is shown that the characteristic of each extreme weather frequency in the topo-climatology model is in good agreement with observation from Korean Meteorological Administration's Automatic Surface Observing System. Moreover, it is possible to analyze the statistics of extreme weather more realistically because this data can cover the weather at not-observed regions. Hence, this data is expected to be used as baseline data for assessing vulnerability to extreme weather and politic decisions for damage reduction in agricultural sector.

• Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
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• 2015.08a
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• pp.156-160
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• 2015

• Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
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• 2015.08a
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• pp.161-165
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• 2015

• Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
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• 2015.08a
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• pp.166-170
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• 2015

• Journal of the Korean Geographical Society
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• v.47 no.4
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• pp.490-513
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• 2012

This study reviewed recent trends in climate research by Korean climatologists. We analyzed six domestic journals listed in the Korean Citation Index and four international journals listed in the Science Citation Index during 2001-2011. Research on climate change has rapidly increased during the study period and studies on precipitation variability have been given continual attentions among Korean climatologists. In climate change research, meteorologists focused on characteristics, prediction, and causes while geographers were more interested in characteristics and impacts of climate change. In applied climatology and bioclimatology, research on the impacts of climate change on agriculture, livestock, vegetation, and human health has increased under recent climate change. While there has been steady interest in climatography by Korean climatologists, the number of papers has generally decreased over the recent period.

• Atmosphere
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• v.19 no.1
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• pp.79-91
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• 2009

Seoul National University General Circulation Model (SNUGCM) has been run for 100 years to obtain daily temperature and meridional velocity at the Northern lower stratosphere. The model results are compared with the NCEP/NCAR reanalysis data. The polar temperature and the eddy heat flux from the model show that the model-produced climatology has well-known cold bias and weaker planetary wave activities. The model climatology also has a lag in the seasonal evolution. The relationship between the model-produced polar temperature and the eddy heat flux is investigated with respect to the interannual and decadal time scales. The interannual variation of the polar temperature is related with both total and stationary eddy heat flux in January and March, which is in agreement with observation. The model, however, does not reproduce the relationship between the decadal variation of the polar temperature and transient eddy heat flux, which is revealed in the observed data.