Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Russell S. Schneider is active.

Publication


Featured researches published by Russell S. Schneider.


Bulletin of the American Meteorological Society | 2009

CONVECTIVE-SCALE WARN-ON-FORECAST SYSTEM

David J. Stensrud; Ming Xue; Louis J. Wicker; Kevin E. Kelleher; Michael P. Foster; Joseph T. Schaefer; Russell S. Schneider; Stanley G. Benjamin; Stephen S. Weygandt; John T. Ferree; Jason P. Tuell

The National Oceanic and Atmospheric Administrations (NOAAs) National Weather Service (NWS) issues warnings for severe thunderstorms, tornadoes, and flash floods because these phenomena are a threat to life and property. These warnings are presently based upon either visual confirmation of the phenomena or the observational detection of proxy signatures that are largely based upon radar observations. Convective-scale weather warnings are unique in the NWS, having little reliance on direct numerical forecast guidance. Because increasing severe thunderstorm, tornado, and flash-flood warning lead times are a key NOAA strategic mission goal designed to reduce the loss of life, injury, and economic costs of these high-impact weather phenomena, a new warning paradigm is needed in which numerical model forecasts play a larger role in convective-scale warnings. This new paradigm shifts the warning process from warn on detection to warn on forecast, and it has the potential to dramatically increase warning lead ...


Bulletin of the American Meteorological Society | 2013

The Emergence of Weather-Related Test Beds Linking Research and Forecasting Operations

F. Martin Ralph; Janet M. Intrieri; David Andra; Robert Atlas; Sid Boukabara; David R. Bright; Paula Davidson; Bruce Entwistle; John Gaynor; Steve Goodman; Jiann-Gwo Jiing; Amy Harless; Jin Huang; Gary J. Jedlovec; John S. Kain; Steven E. Koch; Bill Kuo; Jason J. Levit; Shirley T. Murillo; Lars Peter Riishojgaard; Timothy Schneider; Russell S. Schneider; Travis M. Smith; Steven J. Weiss

Test beds have emerged as a critical mechanism linking weather research with forecasting operations. The U.S. Weather Research Program (USWRP) was formed in the 1990s to help identify key gaps in research related to major weather prediction problems and the role of observations and numerical models. This planning effort ultimately revealed the need for greater capacity and new approaches to improve the connectivity between the research and forecasting enterprise. Out of this developed the seeds for what is now termed “test beds.” While many individual projects, and even more broadly the NOAA/National Weather Service (NWS) Modernization, were successful in advancing weather prediction services, it was recognized that specific forecast problems warranted a more focused and elevated level of effort. The USWRP helped develop these concepts with science teams and provided seed funding for several of the test beds described. Based on the varying NOAA mission requirements for forecasting, differences in the orga...


Bulletin of the American Meteorological Society | 2003

Collaboration between Forecasters and Research Scientists at the NSSL and SPC: The Spring Program

John S. Kain; Paul R. Janish; Steven J. Weiss; Russell S. Schneider; Michael E. Baldwin; Harold E. Brooks

ollaboration between forecasters and researchersadvances meteorology by promoting better un-derstanding and improved prediction of atmo-spheric processes, yet sustained collaboration betweenthese two groups is relatively rare. Forecasters ana-lyze atmospheric conditions nearly every day and of-ten observe poorly understood processes or phenom-ena that are critically important to predicting threatsto life and property. Many forecasters have a keeninsight into the weather and an interest in doing ap-plied atmospheric research, but too often they are notprovided adequate time, diagnostic tools, guidance,or mentoring for independent research projects(Doswell 1986; Auciello and Lavoie 1993). On theother hand, many researchers have at their disposal avast array of diagnostic tools, numerical models, theo-retical knowledge, and experience in formal research.Yet, most meteorological research does not have di-rect implications for improving weather forecasts,despite the obvious societal benefits of applied re-search (Serafin et al. 2002). The failure of meteoro-logical researchers and forecasters to collaborate on


Bulletin of the American Meteorological Society | 2005

The May 2003 Extended Tornado Outbreak

Thomas M. Hamill; Russell S. Schneider; Harold E. Brooks; Gregory S. Forbes; Howard B. Bluestein; Michael Steinberg; Daniel Meléndez; Randall M. Dole

In May 2003 there was a very destructive extended outbreak of tornadoes across the central and eastern United States. More than a dozen tornadoes struck each day from 3 May to 11 May 2003. This outbreak caused 41 fatalities, 642 injuries, and approximately


Bulletin of the American Meteorological Society | 1995

Forecasting the 12–14 March 1993 Superstorm

Louis W. Uccellini; Paul J. Kocin; Russell S. Schneider; Paul M. Stokols; Russell A. Dorr

829 million dollars of property damage. The outbreak set a record for most tornadoes ever reported in a week (334 between 4–10 May), and strong tornadoes (F2 or greater) occurred in an unbroken sequence of nine straight days. Fortunately, despite this being one of the largest extended outbreaks of tornadoes on record, it did not cause as many fatalities as in the few comparable past outbreaks, due in large measure to the warning efforts of National Weather Service, television, and private-company forecasters and the smaller number of violent (F4–F5) tornadoes. This event was also relatively predictable; the onset of the outbreak was forecast skillfully many days in advance. An unusually persistent upper-level trough in the intermountain west and sustai...


Bulletin of the American Meteorological Society | 2009

CONVECTIVE-SCALE WARN-ON-FORECAST SYSTEM: A vision for 2020

David J. Stensrud; Ming Xue; Louis J. Wicker; Kevin E. Kelleher; Michael P. Foster; Joseph T. Schaefer; Russell S. Schneider; Stanley G. Benjamin; Stephen S. Weygandt; John T. Ferree; Jason P. Tuell

Abstract This paper describes the decision-making process used by the forecasters in the National Meteorological Centers Meteorological Operations Division and in Weather Forecast Offices of the National Weather Service to provide the successful forecasts of the superstorm of 12–14 March 1993. This review illustrates 1) the difficult decisions forecasters faced when using sometimes conflicting model guidance, 2) the forecasters’ success in recognizing the mesoscale aspects of the storm as it began to develop and move along the Gulf and East Coasts of the United States, and 3) their ability to produce one of the most successful heavy snow and blizzard forecasts ever for a major winter storm that affected the eastern third of the United States. The successful aspects of the forecasts include the following. 1) Cyclogenesis was predicted up to 5 days prior to its onset. 2) The unusual intensity of the storm was predicted three days in advance, allowing forecasters, government officials, and the media ample t...


24th Conference on Severe Local Storms (27–31 October 2008) | 2008

A Comprehensive 5-year Severe Storm Environment Climatology for the Continental United States

Russell S. Schneider


23rd Conference on Severe Local Storms | 2006

Analysis of estimated environments for 2004 and 2005 severe convective storm reports

Russell S. Schneider


11th Conference on Aviation, Range, and Aerospace and the 22nd Conference on Severe Local Storms | 2004

Tornado Outbreak Days: an updated and expanded climatology (1875-2003)

Russell S. Schneider


23rd Conference on Weather Analysis and Forecasting/19th Conference on Numerical Weather Prediction (1-5 June 2009) | 2009

Estimating potential severe weather societal impacts using probabilistic forecasts issued by the NWS Storm Prediction Center

Russell S. Schneider

Collaboration


Dive into the Russell S. Schneider's collaboration.

Top Co-Authors

Avatar

Harold E. Brooks

National Oceanic and Atmospheric Administration

View shared research outputs
Top Co-Authors

Avatar

John S. Kain

National Oceanic and Atmospheric Administration

View shared research outputs
Top Co-Authors

Avatar

Steven J. Weiss

National Oceanic and Atmospheric Administration

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Ming Xue

University of Oklahoma

View shared research outputs
Top Co-Authors

Avatar

David J. Stensrud

National Oceanic and Atmospheric Administration

View shared research outputs
Top Co-Authors

Avatar

David R. Bright

National Oceanic and Atmospheric Administration

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Jason J. Levit

National Oceanic and Atmospheric Administration

View shared research outputs
Top Co-Authors

Avatar

Kevin E. Kelleher

National Oceanic and Atmospheric Administration

View shared research outputs
Researchain Logo
Decentralizing Knowledge