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Journal ArticleDOI

Experiences with 0–36-h Explicit Convective Forecasts with the WRF-ARW Model

TLDR
In this paper, a summary of the authors' experiences with 36-h real-time explicit (4 km) convective forecasts with the Advanced Research Weather Research and Forecasting Model (WRF-ARW) during the 2003-05 spring and summer seasons is presented.
Abstract
Herein, a summary of the authors’ experiences with 36-h real-time explicit (4 km) convective forecasts with the Advanced Research Weather Research and Forecasting Model (WRF-ARW) during the 2003–05 spring and summer seasons is presented. These forecasts are compared to guidance obtained from the 12-km operational Eta Model, which employed convective parameterization (e.g., Betts–Miller–Janjic). The results suggest significant value added for the high-resolution forecasts in representing the convective system mode (e.g., for squall lines, bow echoes, mesoscale convective vortices) as well as in representing the diurnal convective cycle. However, no improvement could be documented in the overall guidance as to the timing and location of significant convective outbreaks. Perhaps the most notable result is the overall strong correspondence between the Eta and WRF-ARW guidance, for both good and bad forecasts, suggesting the overriding influence of larger scales of forcing on convective development in...

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Citations
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Journal ArticleDOI

A Revised Scheme for the WRF Surface Layer Formulation

TL;DR: In this paper, the surface layer formulation of the Weather Research and Forecasting (WRF) model was modified to provide more suitable similarity functions to simulate surface layer evolution under strong stable/unstable conditions.
Journal ArticleDOI

Operational Convective-Scale Numerical Weather Prediction with the COSMO Model: Description and Sensitivities

TL;DR: In this paper, the authors discuss the model changes that were necessary for the convective scale, and report on the experience from the first years of operational application of the COSMO model.
Journal ArticleDOI

Future changes to the intensity and frequency of short‐duration extreme rainfall

TL;DR: In this paper, a review examines the evidence for sub-daily extreme rainfall intensification due to anthropogenic climate change and describes the current physical understanding of the association between sub-day extreme rainfall intensity and atmospheric temperature.
References
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A Description of the Advanced Research WRF Version 3

TL;DR: The Technical Note series provides an outlet for a variety of NCAR manuscripts that contribute in specialized ways to the body of scientific knowledge but which are not suitable for journal, monograph, or book publication.
Journal ArticleDOI

Statistical Methods in the Atmospheric Sciences

TL;DR: In this article, statistical methods in the Atmospheric Sciences are used to estimate the probability of a given event to be a hurricane or tropical cyclone, and the probability is determined by statistical methods.
Book

Statistical Methods in the Atmospheric Sciences

TL;DR: The second edition of "Statistical Methods in the Atmospheric Sciences, Second Edition" as mentioned in this paper presents and explains techniques used in atmospheric data summarization, analysis, testing, and forecasting.
Journal ArticleDOI

A New Vertical Diffusion Package with an Explicit Treatment of Entrainment Processes

TL;DR: In this article, a revised vertical diffusion algorithm with a nonlocal turbulent mixing coefficient in the planetary boundary layer (PBL) is proposed for weather forecasting and climate prediction models, which improves several features compared with the Hong and Pan implementation.
Journal ArticleDOI

Coupling an Advanced Land Surface–Hydrology Model with the Penn State–NCAR MM5 Modeling System. Part I: Model Implementation and Sensitivity

TL;DR: In this paper, the authors address and document a number of issues related to the implementation of an advanced land surface-hydrology model in the Penn State-NCAR fifth-generation Mesoscale Model (MM5).
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