This report summarizes the work accomplished during the first phase of an investigation concerning methods of introducing digitized satellite imagery into short-range, objective forecasting operations. The data archive being assembled for this study is described, with particular attention given to the steps taken to maximize the accuracy of the satellite imagery. These steps included 'fine tuning' the navigation and selecting procedures for 'normalizing' the data by correcting for the effects of Lambertian and anisotropic scattering. Consistency of the data, spatial and temporal, was tested by analysis of ground reflectance during cloudless days, and a pilot test of the specification of single layers of clouds was conducted. Both of these t...
Simultaneous Geosynchronous Operational Environmental Satellite (GOES) 1 km resolution visible image...
Satellite precipitation estimation at high spatial and temporal resolutions is beneficial for resear...
Over the years, estimation of precipitation from geostationary satellite imagery has proved to be a ...
The design, management and operation (as well as the associated costs) of major water resource proje...
Objective methods and their accuracies for deriving current and six-hour forecasts of cloud amount a...
This thesis addresses the problem of estimating rainfall rates from satellite imagery. The potential...
The scope of the project is to study the weather system and cloud monitoring system for rain attenua...
An efficient and simple method has been developed to improve quality and accuracy of satellite-based...
The present paper describes two model-coupled approaches for the determination of rain rates from re...
Biased corrected radar rain estimates and GOES observations are used to study the distribution of ra...
A satellite-based rainfall estimation algorithm, Precipitation Estimation from Remotely Sensed Infor...
The thesis is divided in two parts. The first part deals with the areal distribution of short-term c...
This thesis is about observations of clouds from satellite and ground based instruments. The aim is ...
Satellite information, in combination with conventional point source measurements, can be a valuable...
The paper presents research results concerning developing software for determining optimum aircraft ...
Simultaneous Geosynchronous Operational Environmental Satellite (GOES) 1 km resolution visible image...
Satellite precipitation estimation at high spatial and temporal resolutions is beneficial for resear...
Over the years, estimation of precipitation from geostationary satellite imagery has proved to be a ...
The design, management and operation (as well as the associated costs) of major water resource proje...
Objective methods and their accuracies for deriving current and six-hour forecasts of cloud amount a...
This thesis addresses the problem of estimating rainfall rates from satellite imagery. The potential...
The scope of the project is to study the weather system and cloud monitoring system for rain attenua...
An efficient and simple method has been developed to improve quality and accuracy of satellite-based...
The present paper describes two model-coupled approaches for the determination of rain rates from re...
Biased corrected radar rain estimates and GOES observations are used to study the distribution of ra...
A satellite-based rainfall estimation algorithm, Precipitation Estimation from Remotely Sensed Infor...
The thesis is divided in two parts. The first part deals with the areal distribution of short-term c...
This thesis is about observations of clouds from satellite and ground based instruments. The aim is ...
Satellite information, in combination with conventional point source measurements, can be a valuable...
The paper presents research results concerning developing software for determining optimum aircraft ...
Simultaneous Geosynchronous Operational Environmental Satellite (GOES) 1 km resolution visible image...
Satellite precipitation estimation at high spatial and temporal resolutions is beneficial for resear...
Over the years, estimation of precipitation from geostationary satellite imagery has proved to be a ...