Applicability of empirical solar radiation models to altered climate

Masashi Okada, Toshichika Iizumi, Masayuki Yokosawa

Research output: Contribution to journalArticle

Abstract

This study is a global assessment of the performance of two empirical models for estimating daily global solar radiation (SR) in the present-day climate, as well as the applicability of these models for near-future climates. One empirical model is used to estimate SR from a diurnal temperature range (DTR) and is called the DTR-SR model, while the other is used to estimate SR from relative humidity (RH) and is called the RH-SR model. Using data from the reanalysis and atmosphere-ocean coupled global climate model (GCM) known as MIROC4, we found that the DTR-SR model operates more accurately over land than the RH-SR model, though the RH-SR model outperformed the DTRSR model over the ocean. Based on an assessment using data from the decadal prediction performed by the GCM, the DTR-SR model could be applied to estimate GCM-simulated SR in altered climates until the year 2035 considered in this study, given the comparatively limited performance of the model during the winter and in arid and semi-arid regions. This suggests that the DTR-SR model is likely useful for data imputation if GCM-simulated SR data are unavailable.

Original languageEnglish
Pages (from-to)13-23
Number of pages11
JournalJournal of Agricultural Meteorology
Volume70
Issue number1
DOIs
Publication statusPublished - 2014
Externally publishedYes

Fingerprint

solar radiation
climate
climate models
global climate
relative humidity
climate modeling
temperature
oceans
ocean
semiarid region
arid zones
prediction
winter
atmosphere

Keywords

  • Climate change
  • Empirical model
  • Global climate model
  • Reanalysis data
  • Solar radiation

ASJC Scopus subject areas

  • Agronomy and Crop Science
  • Atmospheric Science

Cite this

Applicability of empirical solar radiation models to altered climate. / Okada, Masashi; Iizumi, Toshichika; Yokosawa, Masayuki.

In: Journal of Agricultural Meteorology, Vol. 70, No. 1, 2014, p. 13-23.

Research output: Contribution to journalArticle

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