文章基本信息

标题：Agro-Climatic Data by County: A Spatially and Temporally Consistent U.S. Dataset for Agricultural Yields, Weather and Soils
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作者：Seong Do Yun ; Benjamin M. Gramig
期刊名称：Data
印刷版ISSN：2306-5729
出版年度：2019
卷号：4
期号：2
页码：66-85
DOI：10.3390/data4020066
出版社：MDPI Publishing
摘要：Agro-climatic data by county (ACDC) is designed to provide the major agro-climatic variables from publicly available spatial data sources to diverse end-users. ACDC provides USDA NASS annual (1981–2015) crop yields for corn, soybeans, upland cotton and winter wheat by county. Customizable growing degree days for 1 °C intervals between −60 °C and +60 °C, and total precipitation for two different crop growing seasons from the PRISM weather data are included. Soil characteristic data from USDA-NRCS gSSURGO are also provided for each county in the 48 contiguous US states. All weather and soil data are processed to include only data for land being used for non-forestry agricultural uses based on the USGS NLCD land cover/land use data. This paper explains the numerical and geo-computational methods and data generating processes employed to create ACDC from the original data sources. Essential considerations for data management and use are discussed, including the use of the agricultural mask, spatial aggregation and disaggregation, and the computational requirements for working with the raw data sources.
关键词：NASS; gSSURGO; PRISM; climate; weather; soils; raster data; climate econometrics NASS ; gSSURGO ; PRISM ; climate ; weather ; soils ; raster data ; climate econometrics