Webbläsaren som du använder stöds inte av denna webbplats. Alla versioner av Internet Explorer stöds inte längre, av oss eller Microsoft (läs mer här: * https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Var god och använd en modern webbläsare för att ta del av denna webbplats, som t.ex. nyaste versioner av Edge, Chrome, Firefox eller Safari osv.

Default user image.

Babak Mohammadi

Doktorand

Default user image.

Performance analysis of daily global solar radiation models in peru by regression analysis

Författare

  • Babak Mohammadi
  • Roozbeh Moazenzadeh

Summary, in English

Solar radiation (Rs) is one of the main parameters controlling the energy balance at the Earth’s surface and plays a major role in evapotranspiration and plant growth, snow melting, and environmental studies. This work aimed at evaluating the performance of seven empirical models in estimating daily solar radiation over 1990–2004 (calibration) and 2004–2010 (validation) at 13 Peruvian meteorological stations. With the same variables used in empirical models (temperature) as well as two other parameters, namely precipitation and relative humidity, new models were developed by multiple linear regression analysis (proposed models). In calibration of empirical models with the same variables, the lowest estimation errors were 227.1 and 236.3 J∙cm−2∙day−1 at Tacna and Puno stations, and the highest errors were 3958.4 and 3005.7 at San Ramon and Junin stations, respectively. The poorest‐performing empirical models greatly overestimated Rs at most stations. The best performance of a proposed model (in terms of percentage of error reduction) was 73% compared to the average of all empirical models and 93% relative to the poorest result of empirical models, both at San Ramon station. According to root mean square errors (RMSEs) of proposed models, the worst and the best results are achieved at San Martin station (RMSE = 508.8 J∙cm−2∙day−1) and Tacna station (RMSE = 223.2 J∙cm−2∙day−1 ), respectively.

Avdelning/ar

  • Institutionen för naturgeografi och ekosystemvetenskap

Publiceringsår

2021-03

Språk

Engelska

Publikation/Tidskrift/Serie

Atmosphere

Volym

12

Issue

3

Dokumenttyp

Artikel i tidskrift

Förlag

MDPI AG

Ämne

  • Meteorology and Atmospheric Sciences

Nyckelord

  • Hydrometeorology
  • Peru
  • Regression models
  • Renewable energy
  • Solar radiation
  • Temperature‐based models

Status

Published

ISBN/ISSN/Övrigt

  • ISSN: 2073-4433