کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6962630 1452274 2016 15 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
WRF-LTNGDA: A lightning data assimilation technique implemented in the WRF model for improving precipitation forecasts
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزار
پیش نمایش صفحه اول مقاله
WRF-LTNGDA: A lightning data assimilation technique implemented in the WRF model for improving precipitation forecasts
چکیده انگلیسی
This study introduces WRF-LTNGDA, a lightning data assimilation technique implemented in the Weather Research and Forecasting (WRF) model. This technique employs lightning for improving the representation of convection by means of controlling the triggering of the model's convection parameterization scheme. The development and implementation of WRF-LTNGDA was carried out in a framework that could easily allow for its exploitation in real-time forecasting activities. The assimilation algorithm was evaluated over eight precipitation events that took place in Greece in the years 2010-2013. Results clearly show that lightning forcing has a positive impact on model performance. The conducted analysis revealed that the employment of WRF-LTNGDA induces statistically significant improvements in precipitation verification scores, especially for high rainfall accumulations. Separate examination of one of the eight case studies highlighted the overall better agreement between the modelled and observed spatial distribution of precipitation when lightning data assimilation was applied, than in the control simulation.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Environmental Modelling & Software - Volume 76, February 2016, Pages 54-68
نویسندگان
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