Close-range radar rainfall estimation and error analysis
نویسندگان
چکیده
منابع مشابه
Statistical Analysis of Radar Rainfall Error Propagation
The prediction uncertainty of a hydrologic model is closely related to model formulation and the uncertainties in model parameters and inputs. Currently, the foremost challenges concern not only whether hydrologic model outputs match observations, but also whether or not model predictions are meaningful and useful in the contexts of land use and climate change. The latter is difficult to determ...
متن کاملModeling Radar Rainfall Estimation Uncertainties: Random Error Model
Precipitation is a major input in hydrological models. Radar rainfall data compared with rain gauge measurements provide higher spatial and temporal resolutions. However, radar data obtained form reflectivity patterns are subject to various errors such as errors in reflectivity-rainfall Z-R relationships, variation in vertical profile of reflectivity, and spatial and temporal sampling among oth...
متن کاملNumerical simulations of radar rainfall error propagation
[1] The primary advantage of radar observations of precipitation compared with traditional rain gauge measurements is their high spatial and temporal resolution and large areal coverage. Unfortunately, radar data require vigorous quality control before being converted into precipitation products that can be used as input to hydrologic models. In this study we coupled a physically based atmosphe...
متن کاملPattern Recognition of Radar Echoes for Short-Range Rainfall Forecast
A four-layer feed-forward back-propagation Artificial Neural Network (ANN) is applied to weather radar echo maps of reflectivity data for the prediction of heavy rainfall events in the short-range of 1 to 2 hours. Inputs for the ANN are the cross correlations of statistical measures of a sequence of radar images. The ANN is trained to capture increasingly organized echo patterns that often are ...
متن کاملRainfall estimation using spaceborne microwave radar and radiometric measurements
The present paper deals with some of the recent remote sensing techniques for the estimation of rainfall, mainly from passive and active microwave measurements from space. The sensitivity analysis based on forward approach following the radiative transfer modelling using data from ECMWF and mesoscale models is presented. The inverse methods of retrieving rainfall from satellite microwave measur...
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ژورنال
عنوان ژورنال: Atmospheric Measurement Techniques
سال: 2016
ISSN: 1867-8548
DOI: 10.5194/amt-9-3837-2016