데이터셋 상세
캐나다
Canadian Drought Monitor
This series of datasets has been created by AAFC’s National Agroclimate Information Service (NAIS) of the Agro-Climate, Geomatics and Earth Observations (ACGEO) Division of the Science and Technology Branch. The Canadian Drought Monitor (CDM) is a composite product developed from a wide assortment of information such as the Normalized Difference Vegetation Index (NDVI), streamflow values, Palmer Drought Index, and drought indicators used by the agriculture, forest and water management sectors. Drought prone regions are analyzed based on precipitation, temperature, drought model index maps, and climate data and are interpreted by federal, provincial and academic scientists. Once a consensus is reached, a monthly map showing drought designations for Canada is digitized. AAFC’s National Agroclimate Information Service (NAIS) updates this dataset on a monthly basis, usually by the 10th of every month to correspond to the end of the previous month, and subsequent Canadian input into the larger North American Drought Monitor (NA-DM). The drought areas are classified as follows: D0 (Abnormally Dry) – represents an event that occurs once every 3-5 years; D1 (Moderate Drought) – represents an event that occurs every 5-10 years; D2 (Severe Drought) – represents an event that occurs every 10-20 years; D3 (Extreme Drought) – represents an event that occurs every 20-25 years; and D4 (Exceptional Drought) – represents an event that occurs every 50 years. Impact lines highlight areas that have been physically impacted by drought. Impact labels specify the longitude and magnitude of impacts. The impact labels are classified as follows: S – Short-Term, typically less than 6 months (e.g. agriculture, grasslands). L – Long-Term, typically more than 6 months (e.g. hydrology, ecology).
연관 데이터
농촌진흥청 국립농업과학원 농업기상 밭가뭄 현황 및 전망 보고서
공공데이터포털
ㅇ 밭 토양유효수분에 따른 시군 단위의 밭 가뭄현황, 전망 및 작물별 관리기술 보고서* 토양유효수분율 : 토양에서 작물이 이용할 수 있는 수분총량 대비 현재 수분 비율
Standardized Precipitation Index, 1895-2016
공공데이터포털
This dataset provides data at the county level for the contiguous United States. It includes monthly Standardized Precipitation Index (SPI) data from 1895-2016 provided by the Cooperative Institute for Climate and Satellites - North Carolina. Please refer to the metadata attachment for more information. Learn more about drought on the Tracking Network's website: https://ephtracking.cdc.gov/showDroughtLanding. By using these data, you signify your agreement to comply with the following requirements: 1. Use the data for statistical reporting and analysis only. 2. Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals. 3. Do not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov. 4. Do not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating. 5. Acknowledge, in all reports or presentations based on these data, the original source of the data and CDC. 6. Suggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking. Problems or Questions? Email trackingsupport@cdc.gov.
Terrestrial Condition Assessment (TCA) Alaska Drought (Map Service)
공공데이터포털
TCA AK drought data represent areas of recent drought stress based on the U.S. Drought Monitor data (https://droughtmonitor.unl.edu/) for two time periods: January 6, 2015 - December 26, 2017 and September 20, 2016 � September 24th, 2019. Using a 30 km grid as a framework over Alaska, the number of drought polygons are intersected for each grid cell, in each drought category, for each time period. This information is then summarized for each time period using the following weighting scheme: (D0 * 1) + (D1 *2) + (D2 * 3) + (D3 * 4) + (D4 * 5). Higher values indicate higher drought intensity and duration.
농촌진흥청 국립농업과학원 농업기상 상세 관측데이터 조회
공공데이터포털
농업기상의 상세한 관측데이터를 제공합니다. [기온(50,150,400), 습도(50,150,400), 풍향(150,300,1000), 풍속(150,300,1000), 최대풍속(150,300,1000), 강수량, 일조시간, 일사량, 수중온도, 초상온도, 지중온도, 토양수분 등] 관측지점명, 관측지점코드, 조회일자, 조회월, 조회년, 조회기간을 조건으로 조회할 수 있습니다. [10분, 시간, 일, 월, 순, 반순]
Terrestrial Condition Assessment (TCA) Recent Drought Impacts (Map Service)
공공데이터포털
The average moisture deficit as a z-score calculated from the reference time period of 1900-2017 and current conditions as 2017-2019. Data were summarized at the Subsection scale of the USFS National Hierarchy of Ecological Units and applied to the corresponding LTA.