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Full-Text Articles in Physical Sciences and Mathematics
The Purdue Agro-Climatic (Pac) Dataset For The U.S. Corn Belt: Development And Initial Results, Xing Liu, Elin Jacobs, Anil Kumar, Larry Biehl, Jeff Andersen, Dev Niyogi
The Purdue Agro-Climatic (Pac) Dataset For The U.S. Corn Belt: Development And Initial Results, Xing Liu, Elin Jacobs, Anil Kumar, Larry Biehl, Jeff Andersen, Dev Niyogi
Department of Earth, Atmospheric, and Planetary Sciences Faculty Publications
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 proftability 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 agrocli- matic …