Estimation of solar radiation in Australia from rainfall and temperature observations-Reference-Cited by-同舟云学术

Estimation of solar radiation in Australia from rainfall and temperature observations

Published:2001-01 Issue:1 Volume:106 Page:41-59
ISSN:0168-1923
Container-title:Agricultural and Forest Meteorology
language:en
Short-container-title:Agricultural and Forest Meteorology

Author:

Liu D.L,Scott B.J

Publisher

Elsevier BV

Subject

Atmospheric Science,Agronomy and Crop Science,Global and Planetary Change,Forestry

Reference25 articles.

1. Effects of clouds on insolation models;Atwater;Solar Energy,1981

2. Australian Bureau of Meteorology, 1997. Climate Activities in Australia 1997: A report on Australian Participation in International Scientific Climate Programs. Bureau of Meteorology, Melbourne, 173 pp.

3. Improving the estimation of global solar radiation across Canada;Boisvert;Agric. For. Meteorol.,1990

4. On the relationship between incoming solar radiation and daily maximum and minimum temperature;Bristow;Agric. For. Meteorol.,1984

5. Estimating global solar radiation from common meteorological observations in western Canada;De Jong;Can. J. Plant Sci.,1993

Cited by 153 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing Solar Radiation Forecasting in Diverse Moroccan Climate Zones: A Comparative Study of Machine Learning Models with Sugeno Integral Aggregation;Atmosphere;2024-01-14

2. Different-resolution solar radiation prediction with accompanying microclimate data and long-term monitoring experiment by LSTM, RF, and SVR: a case of campus area;Journal of Asian Architecture and Building Engineering;2023-11-05

3. Calibrating the Ångström–Prescott Model with Solar Radiation Data Collected over Long and Short Periods of Time over the Tibetan Plateau;Energies;2023-10-14

4. Solar irradiation prediction using empirical and artificial intelligence methods: A comparative review;Heliyon;2023-06

5. Climate change: Prediction of solar radiation using advanced machine learning techniques;Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence;2023