rainfall is considered a highly valuable climatologic resource, particularly in arid regions. as one of the primaryinputs that drive watershed dynamics, rainfall has been shown to be crucial for accurate distributed hydrologicmodeling. precipitation is known only at certain locations; interpolation procedures are needed to predict this variablein other regions. in this study, the ordinary cokri...

the main limitation of radar interferometry in measuring ground displacements is due to phase propagation delays caused by the troposphere. tropospheric water vapor is a major limitation for high precision interferometric synthetic aperture radar (insar)applications. using global meteorological reanalysis models and merisdata are two methods that can be used for correcting the effects of the tr...

Meteorological data mining is a form of data mining concerned with finding hidden patterns inside largely available meteorological data, so that the information retrieved can be transformed into usable knowledge. Weather is one of the meteorological data that is rich by important knowledge. In this paper we try to extract useful knowledge from weather daily historical data collected locally at ...

The main sources of meteorological data at high altitudes are radiosondes and Aircraft Meteorological Data Relay (AMDAR) data [1]. Mode-select (Mode-S) radars are capable of getting similar readings from aircraft as AMDAR; however, this source of meteorological data has not been used systematically so far. In this article, we analyze the meteorological data obtained by means of Mode-S radars an...