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Open AccessJournal ArticleDOI

Rethinking satellite-based solar irradiance modelling: The SOLIS clear-sky module

TLDR
In this article, a new type of solar irradiance scheme is developed based on radiative transfer models (RTM) using atmospheric parameter information retrieved from the Meteosat Second Generation (MSG) satellite (clouds, ozone, water vapour) and the ERS-2/ENVISAT satellites (aerosols, ozone).
About
This article is published in Remote Sensing of Environment.The article was published on 2004-05-30 and is currently open access. It has received 263 citations till now. The article focuses on the topics: Solar irradiance & Atmospheric radiative transfer codes.

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Citations
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Review of photovoltaic power forecasting

TL;DR: This paper appears with the aim of compiling a large part of the knowledge about solar power forecasting, focusing on the latest advancements and future trends, and represents the most up-to-date compilation of solarPower forecasting studies.
Journal ArticleDOI

Solar forecasting methods for renewable energy integration

TL;DR: In this article, the authors review the theory behind these forecasting methodologies, and a number of successful applications of solar forecasting methods for both the solar resource and the power output of solar plants at the utility scale level.
Journal ArticleDOI

REST2: High-performance solar radiation model for cloudless-sky irradiance, illuminance, and photosynthetically active radiation – Validation with a benchmark dataset

Christian A. Gueymard
- 01 Mar 2008 - 
TL;DR: REST2 as discussed by the authors is a high-performance model to predict cloudless-sky broadband irradiance, illuminance and photosynthetically active radiation (PAR) from atmospheric data, using the same two-band scheme as in the previous CPCR2 model, but with numerous improvements.
Journal ArticleDOI

Forecasting of preprocessed daily solar radiation time series using neural networks

TL;DR: The optimized MLP presents predictions similar to or even better than conventional and reference methods such as ARIMA techniques, Bayesian inference, Markov chains and k-Nearest-Neighbors, as well as six prediction methods allow to predict the best daily DC PV power production at horizon d.
References
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Journal ArticleDOI

Optical Properties of Aerosols and Clouds: The Software Package OPAC

TL;DR: In this article, the optical properties of aerosols and clouds are described, including extinction, scattering, and absorption coefficients, single scattering albedo, asymmetry parameter, and phase function.
Book

Atmospheric Data Analysis

Roger Daley
TL;DR: In this article, the authors present a method of successive corrections for Normal Mode Initialization (NME) in univariate, multivariate and univariate Statistical Interpolation (SI) problems.
Journal ArticleDOI

SBDART: A Research and Teaching Software Tool for Plane-Parallel Radiative Transfer in the Earth's Atmosphere.

TL;DR: The code is a marriage of a sophisticated discrete ordinate radiative transfer module, low-resolution atmospheric transmission models, and Mie scattering results for light scattering by water droplets and ice crystals that are well suited for a wide variety of atmospheric radiative energy balance and remote sensing studies.
Journal ArticleDOI

The Global Ozone Monitoring Experiment (GOME): Mission Concept and First Scientific Results

TL;DR: The Global Ozone Monitoring Experiment (GOME) is a new instrument aboard the European Space Agency's (ESA) Second European Remote Sensing Satellite (ERS-2), which was launched in April 1995 as mentioned in this paper.
Journal ArticleDOI

Determination of the Optical Thickness and Effective Particle Radius of Clouds from Reflected Solar Radiation Measurements. Part I: Theory

TL;DR: In this paper, a method for determining the optical thickness and effective particle radius of stratiform cloud layers from reflected solar radiation measurements is presented, which can be used to determine the droplet radius at some optical depth within the cloud layer.
Related Papers (5)
Frequently Asked Questions (10)
Q1. What are the contributions in "Rethinking satellite-based solar irradiance modelling the solis clear-sky module" ?

Within the European project Heliosat-3, a new type of solar irradiance scheme is developed. This paper focuses on the description of the clear-sky module of the new scheme, especially on the integrated use of a radiative transfer model. 

SOLIS provides the possibility to use enhanced information of the atmospheric state and, hence, the potential to improve the accuracy of the calculated direct, global, and diffuse irradiance. Additionally, spectrally resolved data can be calculated operationally in MSG pixel resolution. Deviations of the atmospheric state from the average ( O3, H2O ( g ), aerosols ) can be easily corrected using the results of the modified Lambert–Beer fit. The usage of the modified Lambert–Beer law enables not only the direct integration of an RTM into the irradiance scheme, but also the potential for the calculation and use of easy handling look-up tables. 

The integrated use of RTM is linked with high flexibility relating to the input of the atmospheric state, changes in theory (e.g., new aerosol models), and the desirable output parameters. 

Starting point of the integrated use is the assumption that daily values of the atmospheric clear-sky parameters in a spatial resolution of 100 100 or 50 50 km are sufficient. 

An accurate estimation of the downward solar irradiance is not only of particular importance for assessing the radiative forcing of the climate system, but also absolutely necessary for an efficient planning and operation of solar energy systems and the estimation of the energy load. 

The data assimilation approach delivers global ozone column maps for a certain point in time with a horizontal resolution of 0.36j. 

The integration of an RTM into the calculation schemes, instead of using precalculated lookup tables, is only possible if the necessary computing time can be decreased enormously. 

With respect to 3-D cloud effects, an operational usage of an RTM for the treatment of heterogenous clouds (whether directly or using precalculated look-up tables) is not feasible today. 

The relative root mean square error is 1.9% for global and 4.2% for direct irradiance with a relative bias of 0.6%and 0.5%, respectively. 

With the knowledge of TL and w, and with the help of a model developed by Ineichen (2003), the aerosol optical depth can be retrieved.