Precipitation Estirnat ion and Forecasting Using Radar and Rain Gage Measurements with Artificial Neural Networks

منو

" Precipitation Estirnat ion and Forecasting Using Radar and Rain Gage Measurements with Artificial Neural Networks "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	151445
Doc. No	:	ET23237
Main Entry	:	Christos M a t s o b
Title Proper	:	Precipitation Estirnat ion and Forecasting Using Radar and Rain Gage Measurements with Artificial Neural Networks
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	Quantitative precipitation estimation and forecasting continue to be critical com-ponents of the weather research programs. The objective of this dissertation istwofold: First, to propose a method that fuses raiddl measurements fkorn rain gagesand radar. Second, to design a technique that produces real-time rainfall forecasts forthe next hour. Cokriging is perhaps the most widely used method to fuse measure-ments from two sensors, for exampIe,....-....,....-...,..tested for theQ1 PC1 bus cardBoth these projects mere sofixare des elopment efforts tonards contributing to dlfferentaspects of Roboucs and lZ1echatronics projects m the Controls and Roboucs Group..
Subject	:	Electericl tess
	:	برق
electronic file name	:	TL46473.pdf
Title and statement of responsibility and	:	Precipitation Estirnat ion and Forecasting Using Radar and Rain Gage Measurements with Artificial Neural Networks [Thesis]