کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6343146 1620509 2016 35 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Relationship between human observations of thunderstorms and the PERUN lightning detection network in Poland
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات علم هواشناسی
پیش نمایش صفحه اول مقاله
Relationship between human observations of thunderstorms and the PERUN lightning detection network in Poland
چکیده انگلیسی
Research presents an overview on thunderstorm occurrence in Poland and focuses mainly on the relationship between human observations of thunderstorms (SYNOP daily summaries) and instrumental lightning detection data (PERUN network) in the timeframe between 2002 and 2013. The total of 4,952,203 cloud-to-ground flashes (2082 days with thunderstorms) derived from the PERUN lightning database, and 12,419 daily thunderstorm SYNOP reports from 44 meteorological stations (1417 days with thunderstorms) are compared. Within the use of two different computational methods, we define the threshold value of the human average observational thunderstorm detection range within a meteorological station. Results indicate that the average of this value ranges from 16.9 km (Delta computational method) to 18.3 km (threat score computational method). Given the limitations of both methods, we believe that the average of these two (17.5 km) may be the most reliable estimate that expresses how lightning is perceived by humans. Large differences in observational range values between some of the stations (e.g. from 12 km in Bielsko-Biała to 24 km in Łeba) indicate that thunderstorm measurements performed by humans are not homogeneous and are prone to errors. We estimate that an average increase/decrease of observational range by approximately 1 km results in 1 additional/redundant day in the average annual number of thunderstorm days in the climatological sense. Results indicate that already existing thunderstorm climatology papers that are based on SYNOP thunderstorm reports may present presumably not entirely reliable results and overestimate or underestimate values from the real distribution.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Atmospheric Research - Volume 167, 1 January 2016, Pages 118-128
نویسندگان
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