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논문 기본 정보

자료유형
학술저널
저자정보
김성기 (경기도 농업기술원 북부농업시험장) 박중수 (경기도 농업기술원 북부농업시험장) 이은섭 (경기도 농업기술원 북부농업시험장) 장정희 (경기도 농업기술원 북부농업시험장) 정유란 (경희대학교 생태시스템공학과/생명자원과학연구원) 윤진일 (경희대학교 생태시스템공학과/생명자원과학연구원)
저널정보
한국농림기상학회 한국농림기상학회지 한국농림기상학회지 제6권 제1호
발행연도
2004.1
수록면
49 - 60 (12page)

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Northern Gyeonggi Province(NGP), consisting of 3 counties, is the northernmost region in South Korea adjacent to the de-militarized zone with North Korea. To supplement insufficient spatial coverage of official climate data and climate atlases based on those data, high-resolution digital climate models(DCM) were prepared to support weather- related activities of residents in NGP Monthly climate data from 51 synoptic stations across both North and South Korea were collected for 1981-2000. A digital elevation model(DEM) for this region with 30m cell spacing was used with the climate data for spatially interpolating daily maximum and minimum temperatures, solar irradiance, and precipitation based on relevant topoclimatological models. For daily minimum temperature, a spatial interpolation scheme accommodating the potential influences of cold air accumulation and the temperature inversion was used. For daily maximum temperature estimation, a spatial interpolation model loaded with the overheating index was used. Daily solar irradiances over sloping surfaces were estimated from nearby synoptic station data weighted by potential relative radiation, which is the hourly sum of relative solar intensity. Precipitation was assumed to increase with the difference between virtual terrain elevation and the DEM multiplied by an observed rate. Validations were carried out by installing an observation network specifically for making comparisons with the spatially estimated temperature pattern. Freezing risk in January was estimated for major fruit tree species based on the DCMs under the recurrence intervals of 10, 30, and 100 years, respectively. Frost risks at bud-burst and blossom of tree flowers were also estimated for the same resolution as the DCMs.

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