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Korean Meteorological Society (한국기상학회)
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Implementation of GrADS and R Scripts for Processing Future Climate Data to Produce Agricultural Climate Information

농업 기후 정보 생산을 위한 미래 기후 자료 처리 GrADS 및 R 프로그램 구현

  • Lee, Kyu Jong (Department of Plant Science, Seoul National University) ;
  • Lee, Semi (Department of Plant Science, Seoul National University) ;
  • Lee, Byun Woo (Department of Plant Science, Seoul National University) ;
  • Kim, Kwang Soo (Department of Plant Science, Seoul National University)
  • 이규종 (서울대학교 식물생산과학부) ;
  • 이세미 (서울대학교 식물생산과학부) ;
  • 이변우 (서울대학교 식물생산과학부) ;
  • 김광수 (서울대학교 식물생산과학부)
  • Received : 2013.01.30
  • Accepted : 2013.04.15
  • Published : 2013.06.30
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Abstract

A set of scripts for GrADS (Grid Analysis and Display System) and R was implemented to produce agricultural climate information using the future climate scenarios based on the Representative Concentration Pathways. The GrADS script was used to calculate agricultural climate indices including growing degree days and cooling degree days. The script generated agricultural climate maps of these indices, which are compatible with common Geographic Information System (GIS) applications. To perform a statistical analysis using the agricultural climate maps, a script for R, which is open source statistical software, was used. Because a large number of spatial climate data were produced, parallel processing packages such as SNOW, doSNOW, and foreach were used to perform a simple statistical analysis in the R script. The parallel script of R had speedup on workstations with multi-CPU cores.

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References

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