Advanced Search Results For "Jirak, L."
Your filters
The Third Real-Time, Virtual Spring Forecasting Experiment to Advance Severe Weather Prediction Capabilities.
Publication Type: Academic Journal
Source(s): Bulletin of the American Meteorological Society. Feb2023, Vol. 104 Issue 2, pE456-E458. 3p.
Abstract: SFEs are co-led by the NWS/Storm Prediction Center (SPC) and OAR/National Severe Storms Laboratory (NSSL) and aim to accelerate research-to-operations (R2O) by testing new prediction capabilities, studying how end users apply and interpret severe weath...
Exploring Hourly Updating Probabilistic Guidance in the 2021 Spring Forecasting Experiment with Objective and Subjective Verification.
Publication Type: Academic Journal
Source(s): Weather & Forecasting. May2022, Vol. 37 Issue 5, p699-708. 10p.
Abstract: This study explored how forecasters can best use the two main forms of operational convection-allowing model guidance: the High-Resolution Ensemble Forecast (HREF) system and the hourly High-Resolution Rapid Refresh (HRRR). The former represents a wide...
The Second Real-Time, Virtual Spring Forecasting Experiment to Advance Severe Weather Prediction.
Publication Type: Academic Journal
Source(s): Bulletin of the American Meteorological Society. Apr2022, Vol. 103 Issue 4, pE1114-E1116. 3p.
An Hourly Climatology of Operational MRMS MESH-Diagnosed Severe and Significant Hail with Comparisons to Storm Data Hail Reports.
Publication Type: Academic Journal
Source(s): Weather & Forecasting. Apr2021, Vol. 36 Issue 2, p645-659. 15p.
Abstract: The Multi-Radar Multi-Sensor (MRMS) system generates an operational suite of derived products in the National Weather Service useful for real-time monitoring of severe convective weather. One such product generated by MRMS is the maximum estimated size...
A Real-Time, Virtual Spring Forecasting Experiment to Advance Severe Weather Prediction.
Publication Type: Academic Journal
Source(s): Bulletin of the American Meteorological Society. Apr2021, Vol. 102 Issue 4, pE814-E816. 3p.
Abstract: References Clark, A. J., and Coauthors, 2018: The Community Leveraged Unified Ensemble (CLUE) in the 2016 NOAA/Hazardous Weather Testbed Spring Forecasting Experiment. These evaluations mostly used subsets of the 41-member Community Leveraged Unified E...
Model Configuration versus Driving Model: Influences on Next-Day Regional Convection-Allowing Model Forecasts during a Real-Time Experiment.
Publication Type: Academic Journal
Source(s): Weather & Forecasting. Jan2023, Vol. 38 Issue 1, p99-123. 25p.
Abstract: As part of NOAA's Hazardous Weather Testbed Spring Forecasting Experiment (SFE) in 2020, an international collaboration yielded a set of real-time convection-allowing model (CAM) forecasts over the contiguous United States in which the model configurat...
A Real-Time, Simulated Forecasting Experiment for Advancing the Prediction of Hazardous Convective Weather.
Publication Type: Academic Journal
Source(s): Bulletin of the American Meteorological Society. Nov2020, Vol. 101 Issue 11, pE2022-E2024. 3p.
Abstract: The article reviews the 2019 NOAA Hazardous Weather Testbed Spring Forecasting Experiment conducted from April 29 to May 31, 2019 by the by the NWS/Storm Prediction Center (SPC) and the OAR/National Severe Storms Laboratory (NSSL). The experiment featu...
PostProcessing and Visualization Techniques for Convection-Allowing Ensembles.
Publication Type: Academic Journal
Source(s): Bulletin of the American Meteorological Society. Jul2019, Vol. 100 Issue 7, p1245-1258. 14p.
Abstract: Since the early 2000s, growing computing resources for numerical weather prediction (NWP) and scientific advances enabled development and testing of experimental, real-time deterministic convection-allowing models (CAMs). By the late 2000s, continued a...
The Community Leveraged Unified Ensemble (CLUE) in the 2016 NOAA/Hazardous Weather Testbed Spring Forecasting Experiment.
Publication Type: Academic Journal
Source(s): Bulletin of the American Meteorological Society. Jul2018, Vol. 99 Issue 7, p1433-1448. 16p.
Abstract: One primary goal of annual Spring Forecasting Experiments (SFEs), which are coorganized by NOAA’s National Severe Storms Laboratory and Storm Prediction Center and conducted in the National Oceanic and Atmospheric Administration’s (NOAA) Hazardous Weat...
A New Paradigm for Medium-Range Severe Weather Forecasts: Probabilistic Random Forest–Based Predictions.
Publication Type: Academic Journal
Source(s): Weather & Forecasting. Feb2023, Vol. 38 Issue 2, p251-272. 22p.
Abstract: Historical observations of severe weather and simulated severe weather environments (i.e., features) from the Global Ensemble Forecast System v12 (GEFSv12) Reforecast Dataset (GEFS/R) are used in conjunction to train and test random forest (RF) machine...