Relationship between sunshine duration and temperature trends across Europe since the second half of the twentieth century

Besselaar, Else van den; Sánchez-Lorenzo, Arturo; Wild, Martin; Tank, A. M. G. Klein; Laat, A. T. J. de

doi:10.1002/2015jd023640

Cited by 42 publications

(23 citation statements)

References 60 publications

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“…Following a similar approach, the present study focuses on the regression analysis of these meteorological factors and extends to the non-linear impact of multivariate models which include variations of these parameters. Extensive studies were published to detail the non-linear analysis of GSR estimation models across various countries in the world [37][38][39][40][41][42].…”

Section: Mean Bias Error (Mbe) and Mean Absolute Bias Error (Mabe)mentioning

confidence: 99%

Non-linear multivariate models for the estimation of global solar radiation received across five cities in South Africa

Govindasamy

Chetty

2019

J. energy South. Afr.

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South Africa continues to lag globally in the adoption of renewable energy systems despite a notable decrease in the cost of applicable renewable energy technologies over the past five years. Most applications of potential solar renewable energy systems are currently in various stages of investigation, leaving this readily accessible resource capacity idle. The present study proposes linear and non-linear analysis of multivariate models for estimating global solar radiation (GSR) received across five cities in South Africa. The significance of this study is to provide effective GSR estimation in the application of solar technologies, while increasing their implementation. The dependency of GSR on meteorological variables such as air temperature, relative humidity and relative sunshine duration was evaluated for January 2007 to June 2018 to realise estimation models for each of the study sites. The Hargreaves-Samani and Angstrom-Prescott empirical models served as the basis for single variable analysis of GSR reliance on each meteorological parameter and their relative variations. The results indicated that the proposed non-linear, multivariate equations perform better than the empirical models as well as linear, single variable regression equations. The suggested models are site-specific and demonstrate a strong correlation to historic GSR values with low, acceptable error indicators. It was also recognised that second-and third-order relationships between the clearness index and multiple meteorological variables provide a more accurate description of GSR for most of the cities under study. These methods are cost-effective, easily accessible and appropriate for the evaluation of the feasibility of solar photovoltaic technologies in South Africa.

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Section: Mean Bias Error (Mbe) and Mean Absolute Bias Error (Mabe)mentioning

confidence: 99%

Non-linear multivariate models for the estimation of global solar radiation received across five cities in South Africa

Govindasamy

Chetty

2019

J. energy South. Afr.

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“…The light irradiation from the sun positively correlates with the environmental temperature [ 166 ], causing the diurnal temperature to change between day and night [ 167 , 168 ]. Therefore, the effect of light on plant development (photomorphogenesis) is closely linked with the effect of the temperature (thermomorphogenesis) [ 169 ].…”

Section: Thermal Reversion Of Phytochromesmentioning

confidence: 99%

Ambient Temperature-Responsive Mechanisms Coordinate Regulation of Flowering Time

Susila

Nasim

Ahn

2018

IJMS

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In plants, environmental conditions such as temperature affect survival, growth, and fitness, particularly during key stages such as seedling growth and reproduction. To survive and thrive in changing conditions, plants have evolved adaptive responses that tightly regulate developmental processes such as hypocotyl elongation and flowering time in response to environmental temperature changes. Increases in temperature, coupled with increasing fluctuations in local climate and weather, severely affect our agricultural systems; therefore, understanding the mechanisms by which plants perceive and respond to temperature is critical for agricultural sustainability. In this review, we summarize recent findings on the molecular mechanisms of ambient temperature perception as well as possible temperature sensing components in plants. Based on recent publications, we highlight several temperature response mechanisms, including the deposition and eviction of histone variants, DNA methylation, alternative splicing, protein degradation, and protein localization. We discuss roles of each proposed temperature-sensing mechanism that affects plant development, with an emphasis on flowering time. Studies of plant ambient temperature responses are advancing rapidly, and this review provides insights for future research aimed at understanding the mechanisms of temperature perception and responses in plants.

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“…On inter-annual time scales, the El Niño Southern Oscillation (ENSO) is known as the dominant feature leading to dry or wet years at the northern Peruvian coast (Takahashi, 2004;Lagos et al, 2008;Bazo et al, 2013). This signal is opposite and less pronounced in the southern Andes of Peru.…”

Section: Introductionmentioning

confidence: 99%

A combined view on precipitation and temperature climatology and trends in the southern Andes of Peru

Imfeld

Sedlmeier

Gubler

et al. 2020

Intl Journal of Climatology

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In the southern Peruvian Andes, communities are highly dependent on climatic conditions due to the mainly rain-fed agriculture and the importance of glaciers and snow melt as a freshwater resource. Longer-term trends and yearto-year variability of precipitation or temperature severely affect living conditions. This study evaluates seasonal precipitation and temperature climatologies and trends in the period 1965/66-2017/18 for the southern Peruvian Andes using quality-controlled and homogenized station data and new observational gridded data. In this region, precipitation exhibits a strong annual cycle with very dry winter months and most of the precipitation falling from spring to autumn. Spatially, a northeast-southwest gradient in austral spring is observed, related to an earlier start of the rainy season in the northeastern part of the study area. Seasonal variations of maximum temperature are weak with an annual maximum in austral spring, which is related to reduced cloud cover in austral spring compared to summer. On the contrary, minimum temperatures show larger seasonal variations, possibly enhanced through changes in longwave incoming radiation following the precipitation cycle. Precipitation trends since 1965 exhibit low spatial consistency except for austral summer, when in most of the study area increasing precipitation is observed, and in austral spring, when stations in the central-western region of the study area register decreasing precipitation. All seasonal and annual trends in maximum

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Relationship between sunshine duration and temperature trends across Europe since the second half of the twentieth century

Cited by 42 publications

References 60 publications

Non-linear multivariate models for the estimation of global solar radiation received across five cities in South Africa

Non-linear multivariate models for the estimation of global solar radiation received across five cities in South Africa

Ambient Temperature-Responsive Mechanisms Coordinate Regulation of Flowering Time

A combined view on precipitation and temperature climatology and trends in the southern Andes of Peru

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