A cloud tomographic retrieval algorithm relying on (i) the spherical harmonics discrete ordinate method for computing the radiative transfer and (ii) the surrogate minimization method for solving the inverse problem has been designed. The retrieval algorithm uses regularization, accelerated projected gradient methods, and two types of surrogate functions. The performances of the retrieval algorithm are analyzed on a few synthetic two- and three-dimensional problems
A cloud model–based statistical retrieval technique for estimating surface precipitation and cloud ...
Code to apply a neural network to derive comprehensive 3D cloud structures from 2D satellite data
In this paper we present a retrieval algorithm for atmospheric remote sensing. The algorithm combine...
A cloud tomographic retrieval algorithm relying on (i) the spherical harmonics discrete ordinate met...
A cloud tomographic retrieval algorithm relying on (i) the spherical harmonics discrete ordinate met...
Multiple limb sounder measurements of the same atmospheric region taken from different directions ca...
Multiple limb sounder measurements of the same atmospheric region taken from different directions ca...
Two tomographic techniques are applied to two simulated sets of sky images with different cloud frac...
Tomography is an imaging technique in which 3D models of objects are created from several 2D project...
A major uncertainty in weather and climate models lies in the effect of clouds and aerosols. The IPC...
Mathematical details are given of various tomographic reconstruction algorithms that are in use at J...
Thermoacustic computed tomography (TCT) is a novel imaging technique for nondestructive evaluation a...
Optical remote sensing (ORS) combined with the computerized tomography (CT) technique is a powerful ...
In this paper we present a retrieval algorithm for atmospheric remote sensing. The algorithm combine...
Abstract: The method of correction of the horizontal unhomogeneity effect is generalized t...
A cloud model–based statistical retrieval technique for estimating surface precipitation and cloud ...
Code to apply a neural network to derive comprehensive 3D cloud structures from 2D satellite data
In this paper we present a retrieval algorithm for atmospheric remote sensing. The algorithm combine...
A cloud tomographic retrieval algorithm relying on (i) the spherical harmonics discrete ordinate met...
A cloud tomographic retrieval algorithm relying on (i) the spherical harmonics discrete ordinate met...
Multiple limb sounder measurements of the same atmospheric region taken from different directions ca...
Multiple limb sounder measurements of the same atmospheric region taken from different directions ca...
Two tomographic techniques are applied to two simulated sets of sky images with different cloud frac...
Tomography is an imaging technique in which 3D models of objects are created from several 2D project...
A major uncertainty in weather and climate models lies in the effect of clouds and aerosols. The IPC...
Mathematical details are given of various tomographic reconstruction algorithms that are in use at J...
Thermoacustic computed tomography (TCT) is a novel imaging technique for nondestructive evaluation a...
Optical remote sensing (ORS) combined with the computerized tomography (CT) technique is a powerful ...
In this paper we present a retrieval algorithm for atmospheric remote sensing. The algorithm combine...
Abstract: The method of correction of the horizontal unhomogeneity effect is generalized t...
A cloud model–based statistical retrieval technique for estimating surface precipitation and cloud ...
Code to apply a neural network to derive comprehensive 3D cloud structures from 2D satellite data
In this paper we present a retrieval algorithm for atmospheric remote sensing. The algorithm combine...