The main objective of this paper is to present Gaussian Process Regression (GPR) as a new
accurate soft computing model to predict daily and monthly solar radiation at Mashhad city …

Accurate and effective forecasting of short-term global solar radiation is critical for the
development of photovoltaic systems, particularly for integration into existing grid systems …

The availability of reliable climatologic data is essential for multiple purposes in a wide set of
anthropic activities and operative sectors. Frequently direct measures present spatial and …

Agrivoltaic systems that locate crop production and photovoltaic energy generation on the
same land have the potential to aid the transition to renewable energy by reducing the …

Areas covered in compact sea ice were often assumed to prohibit upper-ocean
photosynthesis. Yet, under-ice phytoplankton blooms (UIBs) have increasingly been …

A good working knowledge of photosynthetically active radiation (PAR) is of vital
requirement for determining the terrestrial photosynthesis, primary productivity calculation …

Daily solar radiation (DSR) fluctuation and transition rules affect the design of the energy
storage system and online control strategy of solar energy utilisation systems. However, the …

Photosynthetically active radiation (PAR) is a fundamental physiological variable for
research in the ecological, agricultural, and global change fields. In this study, we produced …

We have analyzed near-global stratospheric data (and mesospheric data as well for H 2 O)
in terms of absolute abundances, variability, and trends for O 3, H 2 O, HCl, N 2 O, and HNO …

Post-fire forest regeneration is strongly influenced by abiotic and biotic heterogeneity in the
pre-and post-fire environments, including fire regimes, species characteristics, landforms …