Russ Schumacher

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Professor

Colorado State University

United States

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About

Russ Schumacher is a Professor at Colorado State University, USA. His research focuses on severe weather forecasting, precipitation analysis, and climate data applications, as evidenced by his recent articles exploring topics such as flash flooding predictions, machine learning in meteorology, and innovative forecasting methodologies. He engages in developing new paradigms for understanding and predicting extreme weather events, contributing to advancing the field of atmospheric science.

Recent Grants

Grant: Close

Collaborative Reserach: Impact of Convectively-Generated Gravity Waves on Mesoscale Convective Systems

Open Date: 2016-11-01

Close Date: 2019-10-31

Grant: Close

Improving probabilistic forecasts of extreme rainfall through intelligent processing of high-resolution ensemble predictions

Open Date: 2016-10-01

Close Date: 2018-09-30

Grant: Close

Improving understanding and prediction of concurrent tornadoes and flash floods with numerical models and VORTEX-SE observations

Open Date: 2016-10-01

Close Date: 2018-09-30

Grant: Close

Multi-disciplinary investigation of concurrent tornadoes and flash floods in the Southeastern US

Open Date: 2015-10-01

Close Date: 2017-09-30

Grant: Close

Collaborative Research: SI2-SSI: Big Weather Web: A Common and Sustainable Big Data Infrastructure in Support of Weather Prediction Research and Education in Universities

Open Date: 2015-08-01

Close Date: 2018-07-31

Articles (18)

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2021

Collaborators (4)

Christopher Weiss

Professor

Texas Tech University

UNITED STATES

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Justin Minder

Associate Professor

University at Albany, State University of New York

UNITED STATES

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David M. Schultz

Professor of Synoptic Meteorology

The University of Manchester

UNITED KINGDOM

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Aaron Hill

Assistant Professor

University of Oklahoma

UNITED STATES

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Russ Schumacher

Research Interests

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Recent Grants

Articles (18)

A Big Chill: Examining an Extremely Sharp Cold Front from Three Perspectives

Can Ingredients-Based Forecasting Be Learned? Disentangling a Random Forest's Severe Weather Predictions

Surrogate Flash Flooding: Probabilistic Excessive Rainfall Predictions from the High-Resolution Ensemble Forecast (HREF) System

Development of Alternate Climate Divisions for Colorado Based on Gridded Data

Radar Signatures and Surface Observations of Elevated Convection Associated with Damaging Surface Winds

Observation Definitions and Their Implications in Machine Learning–Based Predictions of Excessive Rainfall

Precipitation Proxies for Flash Flooding: A Seven-Year Analysis over the Contiguous United States

Using Climatological Data to Identify Locations with Viticultural Potential in Colorado

Intense Surface Winds from Gravity Wave Breaking in Simulations of a Destructive Macroburst

A New Paradigm for Medium-Range Severe Weather Forecasts: Probabilistic Random Forest-Based Predictions

Quantifying the Relationship between Embedded Rotation and Extreme Rainfall Rates in Observations of Tropical Storm Imelda (2019)

On the Sources of Water Supply Forecast Error in Western Colorado

High-Resolution NWP Forecast Precipitation Comparison over Complex Terrain of the Sierras de Cordoba during RELAMPAGO-CACTI

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A CONUS-Wide Standardized Precipitation–Evapotranspiration Index for Major U.S. Row Crops

A CONUS-Wide Standardized Precipitation-Evapotranspiration Index for Major US Row Crops

Response of MCS Low-Frequency Gravity Waves to Vertical Wind Shear and Nocturnal Thermodynamic Environments

Response of MCS Low-Frequency Gravity Waves to Vertical Wind Shear and Nocturnal Thermodynamic Environments

Collaborators (4)

Christopher Weiss

Justin Minder

David M. Schultz

Aaron Hill

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