• 제목/요약/키워드: Seasonal precipitation

검색결과 388건 처리시간 0.023초

공간분석을 이용한 강원도 지역의 강수분포 분석 (I): 강수지역 구분과 계절별 및 연평균 강수량 분석 (Analysis of Precipitation Distribution in the region of Gangwon with Spatial Analysis (I): Classification of Precipitation Zones and Analysis for Seasonal and Annual Precipitation)

  • 엄명진;정창삼;조원철
    • 한국방재학회 논문집
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    • 제9권5호
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    • pp.103-113
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    • 2009
  • 본 연구에서는 관측소의 지리적 위치 및 강수특성(월별, 계절별, 연평균)을 이용하여 강원도의 강수지역을 구분하였다. 강수지역 구분은 기상관측소 66개소(기상관서: 11개소, 자동기상시스템(AWS): 55개소)의 자료를 이용하였으며, 통계적 방법 중 군집 기법인 K-means 방법을 적용하였다. 지역구분 결과, 강수지역은 5개 지역(영동지방 1개 지역 및 영서지방 4개 지역)으로 구분하였다. 계절별 평균강수량은 봄에는 강원도 전체에 유사하게 발생하였으며, 여름에는 영서지방이 높게 나타났으며, 가을과 겨울에는 영동지방이 높게 발생하였다. 연평균 강수량 및 여름철 강수량의 공간분석 결과 강원도 중 일부 지역(미시령 및 대관령일원)은 산악형 강수 특성을 나타냈으나 전반적인 현상은 아닌 것으로 판단되었다. 그러나 보다 정확한 분석을 위해서는 관측소의 고도별 분포가 미흡한 것으로 나타난 관측소의 보완 및 AWS의 자료 확충이 필요할 것으로 판단된다.

우리나라에서 계절별 일교차의 분포 특성과 그 원인 (Characteristics of Seasonal Mean Diurnal Temperature Range and Their Causes over South Korea)

  • 서명석;홍성근;강전호
    • 대기
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    • 제19권2호
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    • pp.155-168
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    • 2009
  • Characteristics of seasonal mean diurnal temperature range (DTR) and their causes over South Korea are investigated using the 60 stations data of Korea Meteorological Administration from 1976 to 2005. In general, the seasonal mean DTR is greatest during spring (in inland area) and least during summer (urban and coastal area). The spatial and seasonal variations of DTR are closely linked with the land surface conditions (especially vegetation activity and soil moisture) and atmospheric conditions (cloud amount, precipitation, local circulation). The seasonal mean DTR shows a decreasing trend at the major urban areas and at the north-eastern part of South Korea. Whereas, it shows an increasing trend at the central area of the southern part. Decreasing and increasing trends of DTR are more significant during summer and fall, and during spring and winter. The decrease (increase) of DTR is mainly caused by the stronger increase of daily minimum (maximum) temperature than daily maximum (minimum) temperature. The negative effects of precipitation and cloud amount on the DTR are greater during spring and at the inland area than during winter and at the coastal area. And the effect of daytime precipitation on the DTR is greater than that of nighttime precipitation.

우리나라 사계절 다중일 누적 극한강수현상의 시·공간적 변화 (Spatio-Temporal Changes in Seasonal Multi-day Cumulative Extreme Precipitation Events in the Republic of Korea)

  • 최광용
    • 한국지역지리학회지
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    • 제21권1호
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    • pp.98-113
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    • 2015
  • 본 연구에서는 최근 40년간(1973~2012) 우리나라 기상청 산하 61개 관측지점의 일강수량 자료를 바탕으로 1~5일 누적 최대 강수량에서 추출한 각 계절별 다중일 누적 극한강수현상의 시 공간적 발생 패턴과 변화 양상의 특징을 밝히고자 하였다. 사계절 중 다중일 누적 극한강수현상의 규모 자체는 여름철에 가장 크지만, 계절 강수량 증감에 따른 극한강수현상 규모 변화민감도는 가을철에 더 높게 나타난다. 장기간 시계열에 나타난 선형 추세 분석에 따르면, 1~5일 다중일 누적 극한강수현상의 규모는 동일하게 사계절 중 여름철에 가장 뚜렷하게 증가하는 변화 양상이 나타난다. 특히, 경기도와 강원영서, 충청도 지역을 중심으로 여름철 다중일 누적 극한강수현상의 증가 규모가 크고 뚜렷하게 나타나고, 1일에서 5일로 누적 기간이 길수록 다중일 누적 극한강수현상의 증가 경향은 이들 지역이외에 소백산맥 주변지역에서도 관찰된다. 통계적 유의성을 보이는 이러한 다중일 누적 극한강수현상 증가추세는 일부 관측지점에서는 겨울철에도 1~2일 누적 극한강수현상에 나타나는 점도 주목할 만하다. 한편, 극한강수량이 계절 강수량에서 차지하는 비율의 변화 추세를 분석해보면, 사계절 중 겨울철에 증가 경향이 가장 뚜렷하게 나타난다. 이러한 결과들은 여름철뿐만 아니라 다른 계절의 다중일 누적 극한강수현상의 시 공간적 변화에도 대비할 필요성이 있음을 가리킨다.

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익산지역 강수의 계절별 산성도와 화학성상 (Seasonal Variations of Acdity and Chemicstry of Precipitation in Iksan Area)

  • 강공언;오인교;김희강
    • 한국대기환경학회지
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    • 제15권4호
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    • pp.393-402
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    • 1999
  • Precipitation samples were collected by the wet-only sampling method in Iksan in the northwest of Chonbuk from March 1995 to February 1997. These samples were analyzed for the concentration of ion components, in addition to pH and electrical conductivity. The annual mean pH of precipitation was 4.8 and the seasonal trend of pH was shown to be low in Fall and Winter(4.5), middle-ranged in Spring(4.7) and high in Summer(5.0). The frequency of pH below 5.6 was about 71%. The seasonal pattern of pH frequency was found to be different in each season. In the case of the pH less than 5.0, the frequency was higher in Spring, Fall and Winter than in Summer, especially higher in Fall than in other seasons. The concentrations of analysed ions showed a pronounced seasonal pattern. However, major ion species for all seasons were $NH^+_4,;Ca^{2+};and;Na^+$ among cations and $SO^{2-}_4,;Cl^-;and;NO^-_3$ among anions. The major acidifying species appeared to be $nss-SO^{2-}_4;and;NO^-_3$, and the main bases responsible for the neutralization of precipitation acidity were $nss-Ca^{2+};and;NH^+_4$. The potential acidity of precipitation, pAi, was found to be between 3.0 and 5.0 for total samples, while the measured pH was approximately between 3.9 and 7.8. The seasonal trend of pAi showed a decreasing order: Summer (4.3), Winter(4.0), Spring and Fall(3.8). During the Fall, both pAi and pH were especially very low, which indicated that during this period the potential acidity of precipitation was high but the neutralizing capacity was low. For Spring, pAi was very low but pH was slightly high. This was likely due to the large amount of $CaCO_3$ in the soil particles transported over a long range from the Chinese continent that were incorporated into the precipitation, and then neutralized the acidifying species with its high concentraton.

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Precipitation Anomalies Around King Sejong Station, Antarctica Associated with E1Niño/Southern Oscillation

  • Kwon, Tae-Yong;Lee, Bang-Yong
    • Ocean and Polar Research
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    • 제24권1호
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    • pp.19-31
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    • 2002
  • Precipitation variability around King Sejong Station related with E1 $Ni\~{n}o$/Southern Oscillation (ENSO) is evaluated using the gauge-based monthly data of its neighboring stations. Though three Ant-arctic Stations of King Sejong (Korea), Frei (Chile), and Artigas (Uruguay) are all closely located within 10 km, their precipitation data show mostly insignificant positive or rather negative correlations among them in the annual, seasonal and monthly precipitation. This result indicates that there are locally large variations in the distribution of precipitation around King Sejong Station. The monthly data of Frei Station for 31 years (1970-2000) are analyzed for examining the ENSO signal in precipitation because of its longer precipitation record compared to other two stations. From the analysis of seasonal precipitation, it is seen that there is a tendency of less precipitation than the average during E1 $Ni\~{n}o$ events. This dryness is more distinct in fall to spring seasons, in which the precipitation decreases down to about 30% of seasonal mean precipitation. However, the precipitation signal related with La $Ni\~{n}a$ events is not significant. From the analysis of monthly precipitation, it is found that there is a strong negative correlation during 1980s and in the late 1990s, and a weak positive correlation in the early 1990s between normalized monthly precipitation at Frei Station and Sea Surface Temperature (SST) anomalies in the $Ni\~{n}o$ 3.4 region. However, this relation may be not applied over the region around King Sejong Station, but at only one station, Frei.

동아시아 및 남한 지역에서의 Integrated MultisatellitE Retrievals for GPM (IMERG) 일강수량의 지상관측 검증 (Evaluation of Daily Precipitation Estimate from Integrated MultisatellitE Retrievals for GPM (IMERG) Data over South Korea and East Asia)

  • 이주원;이은희
    • 대기
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    • 제28권3호
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    • pp.273-289
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    • 2018
  • This paper evaluates daily precipitation products from Integrated Multisatellite Retrievals for Global Precipitation Measurement (IMERG), Tropical Rainfall Measuring Mission Multisatellite (TRMM) Precipitation Analysis (TMPA), and the Climate Prediction Center Morphing Method (CMORPH), validated against gauge observation over South Korea and gauge-based analysis data East Asia during one year from June 2014 to May 2015. It is found that the three products effectively capture the seasonal variation of mean precipitation with relatively good correlation from spring to fall. Among them, IMERG and TMPA show quite similar precipitation characteristics but overall underestimation is found from all precipitation products during winter compared with observation. IMERG shows reliably high performance in precipitation for all seasons, showing the most unbiased and accurate precipitation estimation. However, it is also noticed that IMERG reveals overestimated precipitation for heavier precipitation thresholds. This assessment work suggests the validity of the IMERG product for not only seasonal precipitation but also daily precipitation, which has the potential to be used as reference precipitation data.

한반도 강수의 일주기 및 반일주기 성분 분석 (Analysis of Diurnal and Semidiurnal Cycles of Precipitation over South Korea)

  • 이규환;서경환
    • 대기
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    • 제18권4호
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    • pp.475-483
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    • 2008
  • The hourly precipitation data from 1973 to 2007 observed at 60 weather stations over Korea are used to characterize the diurnal and semidiurnal cycles of total precipitation amount, intensity and frequency and examine their spatial patterns and interannual variations. The results show that the diurnal cycle peaks in the morning (03-09LST) and the semidiurnal cycle peaks in the late afternoon (16-20LST). It is found that the spatial variations of the peak phase of diurnal or semidiurnal cycle relative to their corresponding seasonal mean cycle are considerably small (large) for total precipitation amount and intensity (frequency, respectively) in both winter and summer seasons. Also, the diurnal phase variations for individual years relative to the seasonal mean precipitation show the significant interannual variability with dominant periods of 2-5 years for all three elements of precipitation and the slightly decreasing trend in total precipitation amount and intensity. To compare the relative contributions of frequency and intensity to the diurnal and semidiurnal cycles (and their sum) of total precipitation amount, the percentage variance of each cycle of precipitation amount explained by frequency is estimated. The fractional variance accounted for by precipitation intensity is greater than that of frequency for these three cycles. All above analyses suggest that intensity plays a more important role than frequency in the diurnal variations of total precipitation amount.

Stochastic precipitation modeling based on Korean historical data

  • Kim, Yongku;Kim, Hyeonjeong
    • Journal of the Korean Data and Information Science Society
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    • 제23권6호
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    • pp.1309-1317
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    • 2012
  • Stochastic weather generators are commonly used to simulate time series of daily weather, especially precipitation amount. Recently, a generalized linear model (GLM) has been proposed as a convenient approach to fitting these weather generators. In this paper, a stochastic weather generator is considered to model the time series of daily precipitation at Seoul in South Korea. As a covariate, global temperature is introduced to relate long-term temporal scale predictor to short-term temporal predictands. One of the limitations of stochastic weather generators is a marked tendency to underestimate the observed interannual variance of monthly, seasonal, or annual total precipitation. To reduce this phenomenon, we incorporate time series of seasonal total precipitation in the GLM weather generator as covariates. It is veri ed that the addition of these covariates does not distort the performance of the weather generator in other respects.

인천 연안역의 수온 및 염분의 계절 변화 (Seasonal Variations of Temperature and Salinity in Incheon Coastal Area)

  • 최용규;신문섭;이병걸
    • 한국환경과학회지
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    • 제9권2호
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    • pp.131-136
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    • 2000
  • The seasonal data obtained at National Fisheries Research and Development Institute from 1989 to 1994 were analyzed to investigate the seasonal variations of temperature and salinity in incheon coastal area. In the tidal flats covering from Incheon harbor to Sorae, the mean temperatures are higher, the amplitudes of flats, the mean salinities are lower, its amplitudes are larger, and its phases are later than those of outer tidal flats. These suggest that Inchion coastal area may be divided into two areas: the tidal flats from Incheon harbor to Sorae, which is largely influenced by the seasonal variation of solar heating, precipitation and evaporation and the outer tidal flats, which is slightly influenced by the effects of seasonal variation of salinity.

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인위적 온난화 및 강수 조절에 따른 소나무 묘목 세근 생산량과 고사율의 계절적 변화 (Short-term Effects of Warming and Precipitation Manipulation on Seasonal Changes in Fine Root Production and Mortality for Pinus densiflora Seedlings)

  • 한승현;장한나;손요환
    • 한국산림과학회지
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    • 제107권1호
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    • pp.43-49
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    • 2018
  • 본 연구에서 33개월생 소나무 묘목을 대상으로 인위적 온난화 처리와 강수 조절에 의한 계절별 세근 생산량과 세근 고사율의 변화를 2년에 걸쳐 분석하였다. 온난화 처리는 적외선등을 이용하여 대조구 대비 대기온도가 $3.0^{\circ}C$ 높게 유지되도록 설정하였고, 강수 조절은 투명 판넬과 펌프를 이용하여 대조구(PC) 대비 30% 감소(PD) 또는 30% 증가(PI) 되도록 설정하였다. 온난화 처리는 세근 생산량 및 고사율에 통계적으로 유의한 영향을 주지 못하였고, 강수 조절은 세근 생산량($mm\;mm-2\;day^{-1}$)에만 유의한 영향을 주었다(PC: 3.57, PD: 4.59, PI: 3.02). 한편 온난화 처리 및 강수 조절과 계절간의 상호작용은 세근 생산량 및 고사율에 영향을 주지 못하였다. 그러나 온난화 처리 여부에 따라 토양 온도와 토양 수분이 각각 세근 생산량과 세근 고사율에 미치는 영향이 다르게 나타났다. 온난화 처리구는 세근 생산량의 계절적 변화가 주로 토양 온도에 영향(양의 상관관계)을 받았고, 세근 고사율은 주로 토양 수분의 영향(음의 상관관계)을 받았다. 반면에 온도 대조구에서는 세근 생산량은 주로 토양 수분의 영향(양의 상관관계)을 받았고, 세근 고사율은 토양 온도 및 수분과 유의한 관계가 나타나지 않았다. 이는 온난화가 진행됨에 따라 세근 생산량과 세근 고사율에 영향을 주는 기후인자가 달라질 수 있음을 시사한다.