کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5427807 1508647 2016 17 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Neural network radiative transfer solvers for the generation of high resolution solar irradiance spectra parameterized by cloud and aerosol parameters
ترجمه فارسی عنوان
حل کننده های انتقال شعاعی شبکه عصبی برای تولید طیف تابشی با وضوح بالا با پارامترهای ابر و آئروسل
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه شیمی طیف سنجی
چکیده انگلیسی


- Neural network radiative transfer solvers for generation of solar irradiance spectra.
- Sensitivity analysis of irradiance spectra with respect to aerosol and cloud parameters.
- Regional maps of total global horizontal irradiance for cloudy sky conditions.
- Regional solar radiation maps produced directly from MSG3/SEVIRI satellite inputs.

This paper reports on the development of a neural network (NN) model for instantaneous and accurate estimation of solar radiation spectra and budgets geared toward satellite cloud data using a ≈2.4 M record, high-spectral resolution look up table (LUT) generated with the radiative transfer model libRadtran. Two NN solvers, one for clear sky conditions dominated by aerosol and one for cloudy skies, were trained on a normally-distributed and multiparametric subset of the LUT that spans a very broad class of atmospheric and meteorological conditions as inputs with corresponding high resolution solar irradiance target spectra as outputs. The NN solvers were tested by feeding them with a large (10 K record) “off-grid” random subset of the LUT spanning the training data space, and then comparing simulated outputs with target values provided by the LUT. The NN solvers demonstrated a capability to interpolate accurately over the entire multiparametric space. Once trained, the NN solvers allow for high-speed estimation of solar radiation spectra with high spectral resolution (1 nm) and for a quantification of the effect of aerosol and cloud optical parameters on the solar radiation budget without the need for a massive database. The cloudy sky NN solver was applied to high spatial resolution (54 K pixel) cloud data extracted from the Spinning Enhanced Visible and Infrared Imager (SEVIRI) onboard the geostationary Meteosat Second Generation 3 (MSG3) satellite and demonstrated that coherent maps of spectrally-integrated global horizontal irradiance at this resolution can be produced on the order of 1 min.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Quantitative Spectroscopy and Radiative Transfer - Volume 168, January 2016, Pages 176-192
نویسندگان
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