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DOI10.1016/j.envsoft.2016.04.008
Daily gridded weather for pesticide exposure modeling
Fry, Meridith M.; Rothman, Gabriel; Young, Dirk F.; Thurman, Nelson
发表日期2016-08-01
ISSN1364-8152
卷号82页码:167-173
英文摘要

Daily weather is compiled for pesticide exposure modeling from 1961 to 2014 at 0.25 x 0.25 degrees latitude/longitude resolution for the United States using two National Oceanic and Atmospheric Administration (NOAA) products: National Center for Environmental Prediction Reanalysis and NOAA Climate Prediction Center Unified Rain Gauge Analysis. The compiled weather includes precipitation, temperature, wind speed, solar radiation, and reference evapotranspiration. Reference evapotranspiration is calculated using the Hargreaves-Samani method. Prior to this update, US pesticide exposure models relied upon the Solar and Meteorological Surface Observation Network dataset, which provides the same variables but only from 1961 to 1990 for 237 US weather stations. More extensive (1961-2014), spatially-resolved weather allows for more robust estimates of time-averaged pesticide concentrations for assessing acute and chronic exposure to pesticides. Continued expansion of the weather dataset is planned as the latest data is released. Processed weather for pesticide exposure modeling will be publicly available from the US EPA. Published by Elsevier Ltd.


英文关键词Weather;Pesticide;Exposure;Fate;Transport
语种英语
WOS记录号WOS:000378954000013
来源期刊ENVIRONMENTAL MODELLING & SOFTWARE
来源机构美国环保署
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/56600
作者单位US EPA, Off Pesticide Programs, Environm Fate & Effects Div, 1200 Penn Ave NW 7507P, Washington, DC 20460 USA
推荐引用方式
GB/T 7714
Fry, Meridith M.,Rothman, Gabriel,Young, Dirk F.,et al. Daily gridded weather for pesticide exposure modeling[J]. 美国环保署,2016,82:167-173.
APA Fry, Meridith M.,Rothman, Gabriel,Young, Dirk F.,&Thurman, Nelson.(2016).Daily gridded weather for pesticide exposure modeling.ENVIRONMENTAL MODELLING & SOFTWARE,82,167-173.
MLA Fry, Meridith M.,et al."Daily gridded weather for pesticide exposure modeling".ENVIRONMENTAL MODELLING & SOFTWARE 82(2016):167-173.
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