T
Thomas L. Black
Researcher at National Oceanic and Atmospheric Administration
Publications - 21
Citations - 1373
Thomas L. Black is an academic researcher from National Oceanic and Atmospheric Administration. The author has contributed to research in topics: Nested Grid Model & Mesoscale meteorology. The author has an hindex of 11, co-authored 21 publications receiving 1328 citations.
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The new NMC mesoscale Eta Model: description and forecast examples
TL;DR: In mid-1994, a new version of the Eta model was introduced to produce operational forecast guidance down to mesoscale ranges as mentioned in this paper, with a horizontal resolution of approximately 30 km and about 50 layers in the vertical.
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Changes to the Operational ''Early'' Eta Analysis / Forecast System at the National Centers for Environmental Prediction
Eric Rogers,Thomas L. Black,Dennis G. Deaven,Geoffrey J. DiMego,Qingyun Zhao,Michael E. Baldwin,Norman W. Junker,Ying Lin +7 more
TL;DR: In this paper, the National Centers for Environmental Prediction (NCEP) operational early eta model was improved by an increase in the horizontal grid spacing from 80 to 48 km, incorporation of a cloud prediction scheme, replacement of the original static analysis system with a 12-h intermittent data assimilation system using the ETa model, and use of satellite-sensed total column water data in the eta optimum interpolation analysis.
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Implementation of the Cloud Prediction Scheme in the Eta Model at NCEP
TL;DR: In this paper, an explicit cloud prediction scheme has been developed and incorporated into the Eta Model at the National Centers for Environmental Prediction (NCEP) to improve the cloud and precipitation forecasts.
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On the impact on forecast accuracy of the step-mountain (eta) vs. sigma coordinate
Fedor Mesinger,Thomas L. Black +1 more
TL;DR: In this paper, the impact of the choice of the step-mountain (eta) vs. the traditional sigma coordinate is examined by using a model which can be run as either an eta or sigma system model via a simple switch in its code.
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The Earth System Prediction Suite: Toward a Coordinated U.S. Modeling Capability
Gerhard Theurich,Cecelia DeLuca,Timothy J Campbell,Fushan Liu,K. Saint,Mariana Vertenstein,J. Chen,R. Oehmke,James D. Doyle,T. Whitcomb,Alan J. Wallcraft,M. Iredell,Thomas L. Black,A. da Silva,Tom Clune,R. Ferraro,Peggy Li,Maxwell Kelley,Igor Aleinov,Venkatramani Balaji,N. Zadeh,Robert Jacob,Benjamin Kirtman,Francis X. Giraldo,David McCarren,Scott Sandgathe,Steven E. Peckham,R. Dunlap +27 more
TL;DR: The Earth System Prediction Suite (ESPS) is a collection of flagship U.S. weather and climate models and model components that are being instrumented to conform to interoperability conventions, documented to follow metadata standards, and made available either under open source terms or to credentialed users.