Examination of cloud radiance fields derived from satellite observations sometimes indicates the existence of a range of scales over which the statistics of the field are scale invariant. Many methods were developed to quantify this scaling behavior in geophysics. The usefulness of such techniques depends both on the physics of the process being robust over a wide range of scales and on the availability of high resolution, low noise observations over these scales. These techniques (area perimeter relation, distribution of areas, estimation of the capacity, d0, through box counting, correlation exponent) are applied to the high resolution satellite data taken during the FIRE experiment and provides initial estimates of the quality of data re...
The standard 2D/3D picture of atmospheric dynamics of two distinct isotropic regimes separated by a ...
Remote sensing of clouds is a challenging task, due to the inherent inhomogeneity of clouds on all ...
Studies of the statistical properties of meteorological data have often focused on individual or sma...
Examination of cloud radiance fields derived from satellite observations sometimes indicates the exi...
Three Spot images taken during the FIRE experiment on stratocumulus are analyzed. From this high res...
The fractal properties of clouds observed during the FIRE Marine Stratocumulus Intensive Field Obser...
One of the fundamental difficulties in modeling cloud fields is the large variability of cloud optic...
J,. ii Structural properties and solar radiative fluxes for broken, inhomogeneous cloud fields (prim...
An analysis is presented of the structure functions and scalar spectra for 25 satellite-derived mari...
Cloud scenes observed by the Advanced Visible and Near-Infrared Radiometer on board the Japanese pol...
Standard cloud remote sensing techniques rely on two basic assumptions: First, clouds are assumed to...
Clouds play a complex role in the earth systems at different temporal and spatial scales interacting...
The spatial sampling limitations of surface measurement systems necessitate the use of satellite dat...
One difficulty in using satellite remote sensing data is the spatial variability of cloud properties...
Meteorological satellite instrument pixel sizes are often much greater than the individual cloud ele...
The standard 2D/3D picture of atmospheric dynamics of two distinct isotropic regimes separated by a ...
Remote sensing of clouds is a challenging task, due to the inherent inhomogeneity of clouds on all ...
Studies of the statistical properties of meteorological data have often focused on individual or sma...
Examination of cloud radiance fields derived from satellite observations sometimes indicates the exi...
Three Spot images taken during the FIRE experiment on stratocumulus are analyzed. From this high res...
The fractal properties of clouds observed during the FIRE Marine Stratocumulus Intensive Field Obser...
One of the fundamental difficulties in modeling cloud fields is the large variability of cloud optic...
J,. ii Structural properties and solar radiative fluxes for broken, inhomogeneous cloud fields (prim...
An analysis is presented of the structure functions and scalar spectra for 25 satellite-derived mari...
Cloud scenes observed by the Advanced Visible and Near-Infrared Radiometer on board the Japanese pol...
Standard cloud remote sensing techniques rely on two basic assumptions: First, clouds are assumed to...
Clouds play a complex role in the earth systems at different temporal and spatial scales interacting...
The spatial sampling limitations of surface measurement systems necessitate the use of satellite dat...
One difficulty in using satellite remote sensing data is the spatial variability of cloud properties...
Meteorological satellite instrument pixel sizes are often much greater than the individual cloud ele...
The standard 2D/3D picture of atmospheric dynamics of two distinct isotropic regimes separated by a ...
Remote sensing of clouds is a challenging task, due to the inherent inhomogeneity of clouds on all ...
Studies of the statistical properties of meteorological data have often focused on individual or sma...