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MiRTaW: An Algorithm for Atmospheric Temperature and Water Vapor Profile Estimation from ATMS Measurements Using a Random Forests Technique

Francesco Di Paola, Elisabetta Ricciardelli, Domenico Cimini, Angela Cersosimo, Arianna Di Paola, Donatello Gallucci, Sabrina Gentile, Edoardo Geraldi, Salvatore Larosa, Saverio Nilo, Ermann Ripepi, Filomena Romano (+2 others)
<span title="2018-09-02">2018</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="" style="color: black;">Remote Sensing</a> </i> &nbsp;
The microwave random forest temperature and water vapor (MiRTaW) profiling algorithm is based on the random forest (RF) technique and it uses microwave (MW) sounding from the Advanced Technology Microwave  ...  A new algorithm for the estimation of atmospheric temperature (T) and water vapor (WV) vertical profiles in nonprecipitating conditions is presented.  ...  Materials and Methods This paper presents a random forest approach to profiling atmospheric temperature and water vapor by MW passive observations.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="">doi:10.3390/rs10091398</a> <a target="_blank" rel="external noopener" href="">fatcat:i5ut242pwjgpfkofiqokn5hnqi</a> </span>
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