Assessment of underwater irradiance and absorption of solar radiation at water column from satellite data

2007 ◽  
Author(s):  
Oleg V. Kopelevich ◽  
Sergey V. Sheberstov ◽  
Vladimir I. Burenkov ◽  
Svetlana V. Vazyulya ◽  
Maria V. Likhacheva
Keyword(s):  
Solar Radiation ◽  
Water Column ◽  
Satellite Data ◽  
Underwater Irradiance

scholarly journals Estimation of Solar Resource Based on Meteorological and Geographical Data: Sonora State in Northwestern Territory of Mexico as Case Study

Energies ◽  
2020 ◽  
Vol 13 (24) ◽  
pp. 6501
Author(s):  
Enrique A. Enríquez-Velásquez ◽  
Victor H. Benitez ◽  
Sergey G. Obukhov ◽  
Luis C. Félix-Herrán ◽  
Jorge de-J. Lozoya-Santos
Keyword(s):  
Solar Radiation ◽  
Satellite Data ◽  
Local Governments ◽  
Low Cost ◽  
Research Work ◽  
Source Model ◽  
The State ◽  
Time Data ◽  
The University ◽  
Solar Resource

A model developed at the University of Tomsk, Russia, for high latitudes (over 55° N) is proposed and applied to the analysis and observation of the solar resource in the state of Sonora in the northwest of Mexico. This model utilizes satellite data and geographical coordinates as inputs. The objective of this research work is to provide a low-cost and reliable alternative to field meteorological stations and also to obtain a wide illustration of the distribution of solar power in the state to visualize opportunities for sustainable energy production and reduce its carbon footprint. The model is compared against real-time data from meteorological stations and satellite data, using statistical methods to scrutinize its accuracy at local latitudes (26–32° N), where a satisfactory performance was observed. An annual geographical view of available solar radiation against maximum and minimum temperatures for all the state municipalities is provided to identify the photovoltaic electricity generation potential. The outcomes are proof that the model is economically viable and could be employed by local governments to plan solar harvesting strategies. The results are generated from an open source model that allows calculating the available solar radiation over specific land areas, and the application potential for future planning of solar energy projects is evident.

Spatial variation and temporal trends of solar radiation over Morocco based on ground observations and CMSAF data records.

2020 ◽  
Author(s):  
Sara Moutia
Keyword(s):  
Solar Radiation ◽  
Satellite Data ◽  
Sunshine Duration ◽  
Temporal Trends ◽  
General Tendency ◽  
Data Sets ◽  
Alternative Source ◽  
In Situ Observations ◽  
Source Of Information

<p>The main advantage of remote sensing products is that they are reasonably good in terms of temporal and special coverage, and they are available in a near real time. Therefore, an understanding of the strengths and weaknesses of satellite data is useful to choose it as an alternative source of information with acceptable accuracy.  On the first hand, this study assesses an Inter-comparison between CMSAF Sunshine Duration (SD) data records and ground observations of 30 data sets from 1983 to 2015. the correlation is very significant and the satellite data fits very closely to in situ observations. On the other hand, trend analysis is applied to SD and Solar Incoming Direct radiation (SID) data, a number of stations show a statistically significant decreasing trend in SD and also SID shows a decreasing trend over Morocco in most of regions especially in summer. The results indicate a general tendency of decrease in incoming solar radiation mostly during summer which could be of some concern for solar energy.</p>

Case study of a dust storm over Hyderabad area, India: Its impact on solar radiation using satellite data and ground measurements

2007 ◽  
Vol 384 (1-3) ◽  
pp. 316-332 ◽  
Author(s):  
K.V.S. Badarinath ◽  
Shailesh Kumar Kharol ◽  
D.G. Kaskaoutis ◽  
H.D. Kambezidis
Keyword(s):  
Solar Radiation ◽  
Satellite Data ◽  
Dust Storm

scholarly journals Empirical model for estimation of global solar radiation at lowland region Biratnagar using satellite data

BIBECHANA ◽  
2021 ◽  
Vol 18 (1) ◽  
pp. 193-200
Author(s):  
Ganesh Kumar Shrestha ◽  
Binod Pandey ◽  
Usha Joshi ◽  
Khem N. Poudyal
Keyword(s):  
Solar Radiation ◽  
Satellite Data ◽  
Linear Models ◽  
Regression Coefficient ◽  
Sunshine Duration ◽  
Statistical Tests ◽  
Global Solar Radiation ◽  
Type Model ◽  
Relative Sunshine ◽  
Relative Sunshine Duration

This study proposes to find the regression coefficient of the modified Angstrom type model for the estimation of global solar radiation (GSR) in lowland Biratnagar (Lat. 26.5º N, Long. 87.3º E and Alt. 72m) using relative sunshine duration and satellite data of GSR. Using the regression technique, the empirical constants 0.29 and 0.56 are found in the modified Angstrom model. Furthermore, Modified Angstrom model along with other linear models such as Glover and McCulloch model, Page model, Rietveld model, and Turton's model are statistically assessed to evaluate the significance of models. Statistical tests like MPE, MBE, RMSE, and CC reveal that all these models are statistically significant. These findings can be utilized for other locations with a high confidence level at the similar climatic locations of Nepal. BIBECHANA 18 (2021) 193-200

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