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Matthew S. Wandishin

Affiliation/Employer
Federal
Partner Affiliation
gsl
Publon ID
Not available

Publications

Corresponding Articles: 9

Matthew S. Wandishin authored and/or contributed to the following articles/publications.

Ceiling and Visibility Analysis Products Assessment

The Quality Assessment (QA) Product Development Team (PDT) of the National Oceanic and Atmospheric Administration’s (NOAA’s) Global Systems Division (GSD) within the Earth System Research Laboratory (ESRL) was tasked by the Federal Aviation Administration’s (FAA’s) Aviation Weather Research Program (AWRP) to complete an assessment of ceiling and...

Matthew S. Wandishin

A Method for Indentifying Convective Initiation in Forecasts and Observations

A threshold-based, object-oriented CI detection and tracking algorithm was developed and the results of its application on CIWS and HRRR products were presented. A rule set for defining and tracking of CI was developed using the CIWS analysis product with high temporal (5 min) and spatial (1 km) resolution, providing a refined approach to the un...

Matthew S. Wandishin
Institution National Oceanic and Atmospheric Administration - NOAA

Assessment of Graphical Turbulence Guidance, Global (GTG-G), Part 1

The Quality Assessment Product Development Team (QA PDT) was tasked with assessing a globalversion of the Graphical Turbulence Guidance (GTG-G) as part of the transition process to operations. The GTG-G was developed by the Turbulence Product Development Team in theResearch Applications Laboratory at the National Center for Atmospheric Research ...

Matthew S. Wandishin
Institution National Oceanic and Atmospheric Administration - NOAA

An Impact-Based Verification Approach for the TFM Convective Forecast (TCF)

In 2016 and 2017, the Forecast Impact and Quality Assessment Section of NOAA/ESRL/GSD was funded by the NWS Aviation and Space Weather Services Branch to develop a verification tool for the TFM Convective Forecast, produced by the NWS Aviation Weather Center, to replace the verification capabilities originally provided by the Real Time Verificat...

Matthew S. Wandishin
Institution National Oceanic and Atmospheric Administration - NOAA

Coupling computational fluid dynamics with the high resolution rapid refresh model for forecasting dynamic line ratings

This study looks at forecasted dynamic line ratings in southern Idaho by using data from the high resolution rapid-refresh (HRRR) model for forecasted weather conditions. The HRRR model can provide accurate 18-h forecasts with a 15-min temporal resolution. Typical static ratings used for overhead transmission lines use overly conservative assump...

Matthew S. Wandishin
Institution National Oceanic and Atmospheric Administration - NOAA

AutoNowcaster Pilot Evaluation Study

Matthew S. Wandishin
Institution Earth System Research Laboratory - ESRL

Ensemble Prediction of Oceanic Convective Hazards (EPOCH) Assessment: Part II

This document is Part II of a report of the Quality Assessment Product Development Team’s (QA PDT) assessment of the Ensemble Prediction of Oceanic Convective Hazards (EPOCH). EPOCH was developed by the Convective Weather Product Development Team (CW PDT) at the National Center for Atmospheric Research (NCAR). EPOCH aims to forecast convection-r...

Matthew S. Wandishin

Lead Time and Displacement Error for Thunderstorm Forecasts in Terminal and Jetway Domains

This report follows upon a previous quality assessment of the National Digital Forecast Database (NDFD) Thunderstorm Probability field. As before, the evaluation focuses on the onset and cessation of significant thunderstorm activity around 29 major U.S. airports and the ability of forecasts to accurately place thunderstorms in space and time. E...

Matthew S. Wandishin

Evaluation of Probabilistic Snow Forecasts for Winter Weather Operations at Intermountain West Airports

This work set out to assess the performance of four forecast systems (the Short-Range Ensemble Forecast (SREF), High-Resolution Rapid Refresh Ensemble (HRRRE), the National Blend of Models (NBM), and the Probabilistic Snow Accumulation product (PSA) from the National Weather Service (NWS) Boulder, CO Weather Forecast Office) when predicting snow...

Matthew S. Wandishin
Institution National Oceanic and Atmospheric Administration - NOAA