A Weather Generator for the Prediction of Crop Yields under Changeable Climates

Yousay Hayashi; Masayuki Yokozawa; Shuji Yamakawa; Hotoshi Toritani

doi:10.2480/agrmet.52.745

A Weather Generator for the Prediction of Crop Yields under Changeable Climates

Yousay Hayashi, Masayuki Yokozawa, Shuji Yamakawa, Hotoshi Toritani

Research output: Contribution to journal › Article › peer-review

Abstract

The objectives of this study are the development of a newly designed weather generator for daily mean air temperature and a description of its performance. Sequentially generated data of the temperature respond to occurrence frequencies of the pressure patterns in East Asia. The generator is effective as a practical and conjunctive model between GCM and crop productivity in the field.

Original language	English
Pages (from-to)	745-748
Number of pages	4
Journal	journal of agricultural meteorology
Volume	52
Issue number	5
DOIs	https://doi.org/10.2480/agrmet.52.745
Publication status	Published - 1997 Jan 1
Externally published	Yes

Keywords

Climate Change
Crop Models
Pressure Pattern
Wavelet Transform
Weather Generator

ASJC Scopus subject areas

Agronomy and Crop Science
Atmospheric Science

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.2480/agrmet.52.745

Cite this

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abstract = "The objectives of this study are the development of a newly designed weather generator for daily mean air temperature and a description of its performance. Sequentially generated data of the temperature respond to occurrence frequencies of the pressure patterns in East Asia. The generator is effective as a practical and conjunctive model between GCM and crop productivity in the field.",

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author = "Yousay Hayashi and Masayuki Yokozawa and Shuji Yamakawa and Hotoshi Toritani",

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AU - Yamakawa, Shuji

AU - Toritani, Hotoshi

PY - 1997/1/1

Y1 - 1997/1/1

N2 - The objectives of this study are the development of a newly designed weather generator for daily mean air temperature and a description of its performance. Sequentially generated data of the temperature respond to occurrence frequencies of the pressure patterns in East Asia. The generator is effective as a practical and conjunctive model between GCM and crop productivity in the field.

AB - The objectives of this study are the development of a newly designed weather generator for daily mean air temperature and a description of its performance. Sequentially generated data of the temperature respond to occurrence frequencies of the pressure patterns in East Asia. The generator is effective as a practical and conjunctive model between GCM and crop productivity in the field.

KW - Climate Change

KW - Crop Models

KW - Pressure Pattern

KW - Wavelet Transform

KW - Weather Generator

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A Weather Generator for the Prediction of Crop Yields under Changeable Climates

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

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