Geoffrey S. Manikin
National Oceanic and Atmospheric Administration
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Featured researches published by Geoffrey S. Manikin.
Monthly Weather Review | 2004
Stanley G. Benjamin; Dezso Devenyi; Stephen S. Weygandt; Kevin J. Brundage; John M. Brown; Georg A. Grell; Dongsoo Kim; Barry E. Schwartz; Tatiana G. Smirnova; Tracy Lorraine Smith; Geoffrey S. Manikin
Abstract The Rapid Update Cycle (RUC), an operational regional analysis–forecast system among the suite of models at the National Centers for Environmental Prediction (NCEP), is distinctive in two primary aspects: its hourly assimilation cycle and its use of a hybrid isentropic–sigma vertical coordinate. The use of a quasi-isentropic coordinate for the analysis increment allows the influence of observations to be adaptively shaped by the potential temperature structure around the observation, while the hourly update cycle allows for a very current analysis and short-range forecast. Herein, the RUC analysis framework in the hybrid coordinate is described, and some considerations for high-frequency cycling are discussed. A 20-km 50-level hourly version of the RUC was implemented into operations at NCEP in April 2002. This followed an initial implementation with 60-km horizontal grid spacing and a 3-h cycle in 1994 and a major upgrade including 40-km horizontal grid spacing in 1998. Verification of forecasts...
Monthly Weather Review | 2016
Stanley G. Benjamin; Stephen S. Weygandt; John M. Brown; Ming Hu; Curtis R. Alexander; Tatiana G. Smirnova; Joseph B. Olson; Eric P. James; David C. Dowell; Georg A. Grell; Haidao Lin; Steven E. Peckham; Tracy Lorraine Smith; William R. Moninger; Jaymes S. Kenyon; Geoffrey S. Manikin
AbstractThe Rapid Refresh (RAP), an hourly updated assimilation and model forecast system, replaced the Rapid Update Cycle (RUC) as an operational regional analysis and forecast system among the suite of models at the NOAA/National Centers for Environmental Prediction (NCEP) in 2012. The need for an effective hourly updated assimilation and modeling system for the United States for situational awareness and related decision-making has continued to increase for various applications including aviation (and transportation in general), severe weather, and energy. The RAP is distinct from the previous RUC in three primary aspects: a larger geographical domain (covering North America), use of the community-based Advanced Research version of the Weather Research and Forecasting (WRF) Model (ARW) replacing the RUC forecast model, and use of the Gridpoint Statistical Interpolation analysis system (GSI) instead of the RUC three-dimensional variational data assimilation (3DVar). As part of the RAP development, modif...
Weather and Forecasting | 2011
Manuel S. F. V. de Pondeca; Geoffrey S. Manikin; Geoff DiMego; Stanley G. Benjamin; David F. Parrish; R. James Purser; Wan Shu Wu; John D. Horel; David T. Myrick; Ying Lin; Robert M. Aune; Dennis A. Keyser; Brad Colman; Greg E. Mann; Jamie Vavra
AbstractIn 2006, the National Centers for Environmental Prediction (NCEP) implemented the Real-Time Mesoscale Analysis (RTMA) in collaboration with the Earth System Research Laboratory and the National Environmental, Satellite, and Data Information Service (NESDIS). In this work, a description of the RTMA applied to the 5-km resolution conterminous U.S. grid of the National Digital Forecast Database is given. Its two-dimensional variational data assimilation (2DVAR) component used to analyze near-surface observations is described in detail, and a brief discussion of the remapping of the NCEP stage II quantitative precipitation amount and NESDIS Geostationary Operational Environmental Satellite (GOES) sounder effective cloud amount to the 5-km grid is offered. Terrain-following background error covariances are used with the 2DVAR approach, which produces gridded fields of 2-m temperature, 2-m specific humidity, 2-m dewpoint, 10-m U and V wind components, and surface pressure. The estimate of the analysis u...
Weather and Forecasting | 2009
Glenn D. Rolph; Roland R. Draxler; Ariel F. Stein; Albion Taylor; Mark Ruminski; Shobha Kondragunta; Jian Zeng; Ho-Chun Huang; Geoffrey S. Manikin; Jeffery T. McQueen; Paula Davidson
Abstract An overview of the National Oceanic and Atmospheric Administration’s (NOAA) current operational Smoke Forecasting System (SFS) is presented. This system is intended as guidance to air quality forecasters and the public for fine particulate matter (≤2.5 μm) emitted from large wildfires and agricultural burning, which can elevate particulate concentrations to unhealthful levels. The SFS uses National Environmental Satellite, Data, and Information Service (NESDIS) Hazard Mapping System (HMS), which is based on satellite imagery, to establish the locations and extents of the fires. The particulate matter emission rate is computed using the emission processing portion of the U.S. Forest Service’s BlueSky Framework, which includes a fuel-type database, as well as consumption and emissions models. The Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT) model is used to calculate the transport, dispersion, and deposition of the emitted particulate matter. The model evaluation is carried out...
Weather and Forecasting | 1999
David J. Stensrud; Geoffrey S. Manikin; Eric Rogers; Kenneth E. Mitchell
Abstract The cold pool, a pool of evaporatively cooled downdraft air that spreads out horizontally along the ground beneath a precipitating cloud, is often a factor in severe weather and heavy precipitation events. Unfortunately, cold pools are not well sampled by the present observational network and are rarely depicted in numerical model initial conditions. A procedure to identify and insert cold pools into the 29-km Eta Model is developed and tested on seven cases during 1995. Results suggest that when the large-scale forcing is strong, the inclusion of cold pools produces only slight changes in the forecasts. However, for the one case in which the large-scale forcing is relatively weak, the inclusion of cold pools produces significant changes in many of the model fields. These initial results, while not conclusive, suggest that the incorporation of cold pools, and other mesoscale features, may be important to the improvement of numerical guidance for severe weather and heavy precipitation forecasting.
Weather and Forecasting | 2011
Heather Dawn Reeves; Kimberly L. Elmore; Geoffrey S. Manikin; David J. Stensrud
AbstractNorth American Mesoscale Model (NAM) forecasts of low-level temperature and dewpoint during persistent valley cold pools in the Bonneville Basin of Utah are assessed. Stations near the east sidewall have a daytime cold and nighttime warm bias. This is due to a poor representation of the steep slopes on this side of the basin. Basin stations where the terrain is better represented by the model have a distinct warm, moist bias at night. Stations in snow-covered areas have a cold bias for both day and night. Biases are not dependent on forecast lead or validation time. Several potential causes for the various errors are considered in a series of sensitivity experiments. An experiment with 4-km grid spacing, which better resolves the gradient of the slopes on the east side of the basin, yields smaller errors along the east corridor of the basin. The NAM assumes all soil water freezes at a temperature of 273 K. This is likely not representative of the freezing temperature in the salt flats in the weste...
Bulletin of the American Meteorological Society | 2006
David J. Stensrud; Nusrat Yussouf; Michael E. Baldwin; Jeffery T. Mcqueen; Jun Du; Binbin Zhou; Brad S. Ferrier; Geoffrey S. Manikin; F. Martin Ralph; James M. Wilczak; Allen B. White; Irina Djlalova; Jian-Wen Bao; Robert J. Zamora; Stanley G. Benjamin; Patricia A. Miller; Tracy Lorraine Smith; Tanya Smirnova; Michael F. Barth
Abstract The New England High-Resolution Temperature Program seeks to improve the accuracy of summertime 2-m temperature and dewpoint temperature forecasts in the New England region through a collaborative effort between the research and operational components of the National Oceanic and Atmospheric Administration (NOAA). The four main components of this program are 1) improved surface and boundary layer observations for model initialization, 2) special observations for the assessment and improvement of model physical process parameterization schemes, 3) using model forecast ensemble data to improve upon the operational forecasts for near-surface variables, and 4) transfering knowledge gained to commercial weather services and end users. Since 2002 this program has enhanced surface temperature observations by adding 70 new automated Cooperative Observer Program (COOP) sites, identified and collected data from over 1000 non-NOAA mesonet sites, and deployed boundary layer profilers and other special instrum...
Weather and Forecasting | 2007
Alicia C. Wasula; Lance F. Bosart; Russell S. Schneider; Steven J. Weiss; Robert H. Johns; Geoffrey S. Manikin; Patrick Welsh
Abstract The 22–23 February 1998 central Florida tornado outbreak was one of the deadliest and costliest in Florida’s history; a number of long-track tornadoes moved across the Florida peninsula after 0000 UTC 23 February 1998. In the 12–24 h prior to 0000 UTC 23 February, a vigorous upper-level synoptic system was tracking across the southeast United States, and a north–south-oriented convective band located ahead of the cold front was moving eastward across the Gulf of Mexico. Strong vertical wind shear was present in the lowest 1 km, due to a ∼25 m s−1 low-level jet at 925 hPa and south-southeasterly surface flow over the Florida peninsula. Further, CAPE values across the central Florida peninsula exceeded 2500 J kg−1. Upon making landfall on the Florida peninsula, the convective band rapidly intensified and developed into a line of tornadic supercells. This paper examines the relationship between a diabatically induced front across the central Florida peninsula and the rapid development of tornadic su...
11th Conference on Aviation, Range, and Aerospace and the 22nd Conference on Severe Local Storms | 2004
Binbin Zhou; Jun Du; Jeff McQueen; Geoff DiMego; Geoffrey S. Manikin; Brad Ferrier; Zoltan Toth; Henry Juang; Mary Hart; Jongil Han
34th Conference on Broadcast Meteorology/21st Conference on Weather Analysis and Forecasting/17th Conference on Numerical Weather Prediction | 2005
Geoffrey S. Manikin
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Cooperative Institute for Research in Environmental Sciences
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