DOI: 10.1016/j.crm.2016.10.005
Scopus记录号: 2-s2.0-85006337717
论文题名: The Purdue Agro-climatic (PAC) dataset for the U.S. Corn Belt: Development and initial results
作者: Liu X. ; Jacobs E. ; Kumar A. ; Biehl L. ; Andresen J. ; Niyogi D.
刊名: Climate Risk Management
ISSN: 22120963
出版年: 2017
卷: 15 起始页码: 61
结束页码: 72
语种: 英语
英文关键词: Agriculture meteorology
; Agroclimatology
; Crop models
; Crop resiliency
; Land Data Assimilation System
; Reanalysis
英文摘要: This study is a result of a project titled “Useful to Usable (U2U): Transforming Climate Variability and Change Information for Cereal Crop Producers”. This paper responds to the project goal to improve farm resiliency and profitability in the U.S. Corn Belt region by transforming existing meteorological dataset into usable knowledge and tools for the agricultural community. A high-resolution agro-climatic dataset that covers the U.S. Corn Belt was built for the U2U project based on a Land Data Assimilation System (LDAS) framework. This data referred to as the Purdue Agro-climatic (PAC) dataset is a gridded, continuous dataset suitable for agroclimatic and crop model studies over the U.S. Corn Belt. The dataset was created at 4 km, sub-daily spatiotemporal resolution and covers the period of 1981–2014. The dataset includes a range of variables such as daily maximum/minimum temperature, solar radiation, rainfall, evapotranspiration (ET), multilevel soil moisture and soil temperatures. The data were compared to field measurements from Ameriflux and the Soil Climate Analysis Network (SCAN), and with coarser but widely used atmospheric regional reanalysis data products. Validations indicate an overall good agreement between this dataset and field measurements. The agreement is particularly high for radiation and temperature parameters and lesser for rainfall and soil moisture data. Despite the differences with observations, the data show improvements over the coarser resolution products and other available models and thus highlights the value of the dataset for agroclimatic and crop model studies. This high-resolution dataset is available to the wider community, and can fill gaps in observed data records and increase accessibility for the agricultural sector, and for conducting variety of if-then assessments. © 2016 Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/58979
Appears in Collections: 气候变化与战略
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作者单位: Department of Agronomy, Crops, Soils and Environmental Science, Purdue University, West LafayetteIN, United States; Lyles School of Civil Engineering, Purdue University, West Lafayette, IN, United States; ESSIC, University of Maryland, College Park, MD, United States; Information Technology at Purdue, Purdue University, West Lafayette, IN, United States; Department of Geology, Michigan State University, East Lansing, MI, United States; Department of Earth, Atmospheric, and Planetary Sciences, Purdue University, West Lafayette, IN, United States
Recommended Citation:
Liu X.,Jacobs E.,Kumar A.,et al. The Purdue Agro-climatic (PAC) dataset for the U.S. Corn Belt: Development and initial results[J]. Climate Risk Management,2017-01-01,15