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Jun 8, 2019 · A crucial part of this analysis is processing spectroscopy data using radiative transfer models (RTMs) which is a computationally expensive ...
According to a recent investigation, an estimated. 33-50% of the world's coral reefs have under- gone degradation, believed to be as a result of climate ...
Jun 8, 2019 · According to a recent investigation, an estimated. 33-50% of the world's coral reefs have under- gone degradation, believed to be as a ...
Jun 8, 2019 · A crucial part of this analysis is processing spectroscopy data using radiative transfer models (RTMs) which is a computationally expensive ...
This work presents an algorithm that can efficiently emulate RTMs using neural networks leading to a multifold speedup in processing time, and yielding ...
This work presents an algorithm that can efficiently emulate RTMs using neural networks leading to a multifold speedup in processing time, and yielding multiple ...
These radiative transfer models are parameterized by a wide range of quantities, ranging from observation and solar geometries to assumptions about atmospheric ...
Missing: Climate | Show results with:Climate
May 2, 2019 · This study demonstrates that nonparametric function approximation with neural networks can replicate radiative transfer calculations and ...
Missing: Climate | Show results with:Climate
An accurate radiative transfer (forward) model is a crucial component for accurate retrievals of temperature, water vapor and trace gases from remote ...
The study presents a machine learning model using transfer learning to predict the radiative efficiencies of molecules.