Review of the paper "Long-term series of surface solar radiation at Athens, Greece" by S. Kazadzis et al.

2017 ◽  
Author(s):  
Anonymous
Keyword(s):  
Solar Radiation ◽  
Surface Solar Radiation

Long-term variations of surface solar radiation in China from routine meteorological observations

2021 ◽  
pp. 105715
Author(s):  
Xuefang Yang ◽  
Wenmin Qin ◽  
Lunche Wang ◽  
Ming Zhang ◽  
Zigeng Niu
Keyword(s):  
Solar Radiation ◽  
Surface Solar Radiation ◽  
Meteorological Observations ◽  
Long Term Variations

Estimation and Long-term Trend Analysis of Surface Solar Radiation in Antarctica: A Case Study of Zhongshan Station

2021 ◽  
Author(s):  
Zhaoliang Zeng ◽  
Zemin Wang ◽  
Minghu Ding ◽  
Xiangdong Zheng ◽  
Xiaoyu Sun ◽  
...  
Keyword(s):  
Solar Radiation ◽  
Trend Analysis ◽  
Surface Solar Radiation ◽  
Term Trend ◽  
Zhongshan Station ◽  
Long Term Trend

Using Modified Sandia Method in Developing Typical Solar Radiation Year for Photovoltaic Electricity Generation Projection

2011 ◽  
Vol 71-78 ◽  
pp. 4374-4381 ◽  
Author(s):  
Kuo Tsang Huang ◽  
Wen Sheng Ou
Keyword(s):  
Solar Radiation ◽  
Electricity Generation ◽  
Meteorological Data ◽  
Global Solar Radiation ◽  
Climate Variations ◽  
Surface Solar Radiation ◽  
Estimation Process ◽  
Pv Panel ◽  
Southern Taiwan

The energy generation efficiency of Building Intergraded Photovoltaic Systems (BIPV) system relies much on the panel’s surface solar radiation received. In the projection of annual power generation of photovoltaic panels, local global solar radiation plays a pivotal role for reliable estimation process. The purpose of this paper is to develop an hourly typical solar radiation year (TSRY) as fundamental meteorological database for utilizing the estimation process. The TSRY should be interpretable to local long-term climate variations, thus, ten years' hourly meteorological data were gathered to formulate a typical year by means of modified Sandia method herein. A total of four cities' hourly typical years from northern to southern Taiwan were established in this paper. Orientation and inclination effect of the PV panel were also discussed in terms of daily averaged global solar radiation that cumulate from TSRY.

scholarly journals Merging ground-based sunshine duration observations with satellite cloud and aerosol retrievals to produce high-resolution long-term surface solar radiation over China

2021 ◽  
Vol 13 (3) ◽  
pp. 907-922
Author(s):  
Fei Feng ◽  
Kaicun Wang
Keyword(s):  
Standard Deviation ◽  
High Resolution ◽  
Solar Radiation ◽  
Spatial Resolution ◽  
Sunshine Duration ◽  
Ordinary Least Squares ◽  
Cloud Fraction ◽  
Surface Solar Radiation ◽  
The Impact

Abstract. Although great progress has been made in estimating surface solar radiation (Rs) from meteorological observations, satellite retrieval, and reanalysis, getting best-estimated long-term variations in Rs are sorely needed for climate studies. It has been shown that Rs data derived from sunshine duration (SunDu) can provide reliable long-term variability, but such data are available at sparsely distributed weather stations. Here, we merge SunDu-derived Rs with satellite-derived cloud fraction and aerosol optical depth (AOD) to generate high-spatial-resolution (0.1∘) Rs over China from 2000 to 2017. The geographically weighted regression (GWR) and ordinary least-squares regression (OLS) merging methods are compared, and GWR is found to perform better. Based on the SunDu-derived Rs from 97 meteorological observation stations, which are co-located with those that direct Rs measurement sites, the GWR incorporated with satellite cloud fraction and AOD data produces monthly Rs with R2=0.97 and standard deviation =11.14 W m−2, while GWR driven by only cloud fraction produces similar results with R2=0.97 and standard deviation =11.41 W m−2. This similarity is because SunDu-derived Rs has included the impact of aerosols. This finding can help to build long-term Rs variations based on cloud data, such as Advanced Very High Resolution Radiometer (AVHRR) cloud retrievals, especially before 2000, when satellite AOD retrievals are not unavailable. The merged Rs product at a spatial resolution of 0.1∘ in this study can be downloaded at https://doi.org/10.1594/PANGAEA.921847 (Feng and Wang, 2020).

scholarly journals Analysis on the impact of aerosol optical depth on surface solar radiation in the Shanghai megacity, China

2011 ◽  
Vol 11 (7) ◽  
pp. 3281-3289 ◽  
Author(s):  
J. Xu ◽  
C. Li ◽  
H. Shi ◽  
Q. He ◽  
L. Pan
Keyword(s):  
Solar Radiation ◽  
Aerosol Optical Depth ◽  
Optical Depth ◽  
Decadal Variation ◽  
Surface Solar Radiation ◽  
Atmospheric Transparency ◽  
Clear Sky ◽  
Term Variation ◽  
Sky Conditions

Abstract. This study investigated the decadal variation of the direct surface solar radiation (DiSR) and the diffuse surface solar radiation (DfSR) during 1961–2008 in the Shanghai megacity as well as their relationships to Aerosol Optical Depth (AOD) under clear-sky conditions. Three successive periods with unique features of long term variation of DiSR were identified for both clear-sky and all-sky conditions: a "dimming" period from the late 1960s to the mid 1980s, a "stabilization"/"slight brightening" period from the mid 1980s to the mid 1990s, and a "renewed dimming" period thereafter. During the two dimming periods of DiSR, DfSR brightened significantly under clear-sky conditions, indicating that change in atmospheric transparency resulting from aerosol emission has an important role on decadal variation of surface solar radiation (SSR) over this area. The analysis on the relationship between the Moderate-resolution Imaging Spectroradiometer (MODIS) retrieved AOD and the corresponding hourly measurements of DiSR and DfSR under clear-sky conditions clearly revealed that AOD is significantly correlated and anti-correlated with DfSR and DiSR, respectively, both above 99% confidence in all seasons, indicating the great impact of aerosols on SSR through absorption and/or scattering in the atmosphere. In addition, both AOD and the corresponding DiSR and DfSR measured during the satellite passage over Shanghai show obvious weekly cycles. On weekends, AOD is lower than the weekly average, corresponding to higher DiSR and lower DfSR, while the opposite pattern was true for weekdays. Less AOD on weekends due to the reduction of transportation and industrial activities results in enhancement of atmospheric transparency under cloud free conditions so as to increase DiSR and decrease DfSR simultaneously. Results show that aerosol loading from the anthropogenic emissions is an important modulator for the long term variation of SSR in Shanghai.

Long-term changes in surface solar radiation and their effects on air temperature in the Shanghai region

2014 ◽  
Vol 35 (12) ◽  
pp. 3385-3396 ◽  
Author(s):  
Jianming Deng ◽  
Yunlin Zhang ◽  
Boqiang Qin ◽  
Kun Shi
Keyword(s):  
Solar Radiation ◽  
Air Temperature ◽  
Surface Solar Radiation ◽  
Long Term Changes

Internal variability of surface solar radiation and associated PV production

2020 ◽  
Author(s):  
Doris Folini
Keyword(s):  
Solar Radiation ◽  
Coupled Model ◽  
Internal Variability ◽  
Industrial Control ◽  
Surface Solar Radiation ◽  
Decadal Scale ◽  
Intercomparison Project ◽  
Analytical Relations ◽  
Average Uncertainty

<p>Results on the statistical properties of internal variability of annual mean surface solar radiation (SSR) and associated decadal scale trends are presented, following in part Folini et al. 2017 (doi:10.1002/2016JD025869). Estimates are based on 43 pre-industrial control (piControl) experiments of the Coupled Model Intercomparison Project Phase 5 (CMIP5). Trends are shown to depend strongly on geographical region and on whether they are quantified in absolute units or relative to the long term mean SSR. Providing one map for absolute and one map for relative trends is sufficient, as approximate analytical relations are shown to hold between trends of different length and likelihood and the standard deviation of the underlying SSR time series. Comparison with present-day observations and inter-model spread suggest an average uncertainty of these estimates of about 30%.  Intermodel spread suggests that regional uncertainties can be up to about three times larger or smaller. Using the model by Crook et al. 2011 (doi:10.1039/C1EE01495A) to translate SSR into PV production, associated internal variability of photo voltaic (PV) energy production is inferred. Results suggest that it is plausible for PV production to change by several per cent over a decade just because of internal variability.</p>

Long-term Evolution of Clear Sky Surface Solar Radiation and Its Driving Factors Over East Asia

2021 ◽  
pp. 118661
Author(s):  
Ziyan Wang ◽  
Ming Zhang ◽  
Lunche Wang ◽  
Lan Feng ◽  
Yingying Ma ◽  
...  
Keyword(s):  
Solar Radiation ◽  
East Asia ◽  
Long Term Evolution ◽  
Driving Factors ◽  
Surface Solar Radiation ◽  
Clear Sky ◽  
Term Evolution

scholarly journals A New Long-Term Downward Surface Solar Radiation Dataset over China from 1958 to 2015

Sensors ◽  
2020 ◽  
Vol 20 (21) ◽  
pp. 6167
Author(s):  
Ning Hou ◽  
Xiaotong Zhang ◽  
Weiyu Zhang ◽  
Jiawen Xu ◽  
Chunjie Feng ◽  
...  
Keyword(s):  
Solar Radiation ◽  
Dominant Role ◽  
Northern China ◽  
Climate Data ◽  
Surface Solar Radiation ◽  
Term Variation ◽  
Meteorological Observations ◽  
Increasing Demand ◽  
Variation Trends

Downward surface solar radiation (Rs) plays a dominant role in determining the climate and environment on the Earth. However, the densely distributed ground observations of Rs are usually insufficient to meet the increasing demand of the climate diagnosis and analysis well, so it is essential to build a long-term accurate Rs dataset. The extremely randomized trees (ERT) algorithm was used to generate Rs using routine meteorological observations (2000–2015) from the Climate Data Center of the Chinese Meteorological Administration (CDC/CMA). The estimated Rs values were validated against ground measurements at the national scale with an overall correlation coefficient value of 0.97, a mean bias of 0.04 Wm−2, a root-mean-square-error value of 23.12 Wm−2, and a mean relative error of 9.81%. It indicates that the estimated Rs from the ERT-based model is reasonably accurate. Moreover, the ERT-based model was used to generate a new daily Rs dataset at 756 CDC/CMA stations from 1958 to 2015. The long-term variation trends of Rs at 454 stations covering 46 consecutive years (1970–2015) were also analyzed. The Rs in China showed a significant decline trend (−1.1 Wm−2 per decade) during 1970–2015. A decreasing trend (−2.8 Wm−2 per decade) in Rs during 1970–1992 was observed, followed by a recovery trend (0.23 Wm−2 per decade) during 1992–2015. The recovery trends at individual stations were found at 233 out of 454 stations during 1970–2015, which were mainly located in southern and northern China. The new Rs dataset would substantially provide basic data for the related studies in agriculture, ecology, and meteorology.

LONG-TERM CHANGES IN SOLAR RADIATION IN NORTHERN EURASIA DURING THE WARM SEASON ACCORDING TO MEASUREMENTS AND RECONSTRUCTION MODEL

2021 ◽  
pp. 21-37
Author(s):  
E.V. VOL'PERT ◽  
◽  
N.E. CHUBAROVA ◽  
Keyword(s):  
Solar Radiation ◽  
Warm Season ◽  
Temporal Variations ◽  
Coefficient Of Determination ◽  
Northern Eurasia ◽  
State University ◽  
Surface Solar Radiation ◽  
Meteorological Observatory ◽  
Reconstruction Model

A reconstruction model of surface solar radiation (SR) is developed. The results of reconstructing the interannual SR variability for the period of 1968-2016 are tested against the observations at MSU (Lomonosov Moscow State University) Meteorological Observatory for the warm season (May-September), the comparison showed a good agreement (the coefficient of determination R2 = 0.8). The analysis of temporal variations in SR over Northern Eurasia (40-80 N; 10 W-180 E) due to various factors revealed that in most cases there has been a trend toward an SR increase since 1979. In addition, it is demonstrated that the long-term SR variability over Northern Eurasia was effectively explained by variations in the cloud transmission of Sr, except for the polluted regions of Siberia and China and several stations in Northern Europe, where the aerosol factor dominates in some cases.

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