Abstract
Abstract The results of two regression experiments to predict percentage of possible sunshine (PoPS) one day in advance at Albany, New York are described. For the one experiment, predictors are derived from Albany radiosonde observations, while the other experiment uses predictors obtained from the daily 1200 GMT run of the operational Limited Area Fine Mesh (LFM) model at the National Meteorological Center (NMC). The most frequently chosen predictors from the radiosonde observations include layer-mean moisture and temperature information, 850 and 700 mb meridional wind components and stability indices. Similar predictors emerge from the LFM forecasts with the 700 mb vertical velocity replacing the meridional wind components. Ten years of twice-daily Albany radiosonde data and four years of LFM prognoses for Albany constituted the dependent data sample for both experiments. Skill levels are assessed relative to a persistence climatology through the ranked probability score for forecasts of POPS as a conti...
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
