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The Integrated WRF/urban modelling system : development, evaluation, and application to urban environmental problems
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The article was published on 2010-01-01 and is currently open access. It has received 675 citations till now. The article focuses on the topics: Weather Research and Forecasting Model.read more
Citations
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Journal ArticleDOI
The Weather Research and Forecasting Model: Overview, System Efforts, and Future Directions
Jordan G. Powers,Joseph B. Klemp,William C. Skamarock,Christopher A. Davis,Jimy Dudhia,David O. Gill,Janice L. Coen,David Gochis,Ravan Ahmadov,Steven E. Peckham,Georg Grell,John Michalakes,Samuel Trahan,Stanley G. Benjamin,Curtis R. Alexander,Geoffrey J. DiMego,Wei Wang,Craig S. Schwartz,Glen S. Romine,Zhiquan Liu,Chris Snyder,Fei Chen,Michael Barlage,Wei Yu,Michael G. Duda +24 more
TL;DR: The Weather Research and Forecasting (WRF) Model as mentioned in this paper has become one of the world's most widely used numerical weather prediction models, and it has been widely used for both research and operational purposes.
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Synergistic Interactions between Urban Heat Islands and Heat Waves: The Impact in Cities Is Larger than the Sum of Its Parts*
Dan Li,Elie Bou-Zeid +1 more
TL;DR: In this paper, a combination of observational and modeling analyses indicates synergies between urban heat islands and heat waves, and the added heat stress in cities will be even higher than the sum of the background urban heat island effect and the heat wave effect.
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Mapping local climate zones for a worldwide database of the form and function of cities
Benjamin Bechtel,Paul J. Alexander,Jürgen Böhner,Jason Ching,Olaf Conrad,Johannes J. Feddema,Gerald Mills,Linda See,Iain D. Stewart +8 more
TL;DR: The WUDAPT protocol developed here provides an easy to understand workflow; uses freely available data and software; and can be applied by someone without specialist knowledge in spatial analysis or urban climate science.
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Urban adaptation can roll back warming of emerging megapolitan regions
TL;DR: It is shown that, in the absence of any adaptive urban design, urban expansion across the United States imparts warming over large regional swaths of the country that is a significant fraction of anticipated temperature increases resulting from greenhouse gas-induced warming.
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Urbanization exacerbated the rainfall and flooding caused by hurricane Harvey in Houston.
TL;DR: The effect of urbanization on storm-induced extreme precipitation and flooding should be more explicitly included in global climate models, and this study highlights its importance when assessing the future risk of such extreme events in highly urbanized coastal areas.
References
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A Description of the Advanced Research WRF Version 3
C. Skamarock,B. Klemp,Jimy Dudhia,O. Gill,Dale Barker,G. Duda,Xiang-Yu Huang,Wei Wang,G. Powers +8 more
TL;DR: The Technical Note series provides an outlet for a variety of NCAR manuscripts that contribute in specialized ways to the body of scientific knowledge but which are not suitable for journal, monograph, or book publication.
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The Step-Mountain Eta Coordinate Model: Further Developments of the Convection, Viscous Sublayer, and Turbulence Closure Schemes
TL;DR: In this article, a major revision of the Betts and Miller convection scheme was made, a new marine viscous sublayer scheme was designed, and the Mellor-Yamada planetary boundary layer (PBL) formulation was retuned.
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Fully coupled “online” chemistry within the WRF model
Georg Grell,Steven E. Peckham,Rainer Schmitz,Stuart A. McKeen,Gregory J. Frost,William C. Skamarock,Brian Eder +6 more
TL;DR: The WRF/Chem model is statistically better skilled in forecasting O3 than MM5/Chem, with no appreciable differences between models in terms of bias with the observations, and consistently exhibits better skill at forecasting the O3 precursors CO and NOy at all of the surface sites.
A Description of the Advanced Research WRF Version 2
William C. Skamarock,Joseph B. Klemp,Jimy Dudhia,David O. Gill,Dale Barker,Wei Wang,Jordan G. Powers +6 more
TL;DR: The Weather Research and Forecasting (WRF) model as mentioned in this paper was developed as a collaborative effort among the NCAR Mesoscale and Microscale Meteorology (MMM) Division, the National Oceanic and Atmospheric Administration's (NOAA) National Centers for Environmental Prediction (NCEP) and Forecast System Laboratory (FSL), the Department of Defense's Air Force Weather Agency (AFWA) and Naval Research Laboratory (NRL), the Center for Analysis and Prediction of Storms (CAPS) at the University of Oklahoma, and the Federal Aviation Administration (F
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The multi-institution North American Land Data Assimilation System (NLDAS): Utilizing multiple GCIP products and partners in a continental distributed hydrological modeling system
Kenneth E. Mitchell,Dag Lohmann,Paul R. Houser,Eric F. Wood,John Schaake,Alan Robock,Brian Cosgrove,Justin Sheffield,Qingyun Duan,Lifeng Luo,Lifeng Luo,R. Wayne Higgins,Rachel T. Pinker,J. Dan Tarpley,Dennis P. Lettenmaier,Curtis H. Marshall,Curtis H. Marshall,Jared Entin,Ming Pan,Wei Shi,Victor Koren,Jesse Meng,Jesse Meng,Bruce H. Ramsay,Andrew A. Bailey +24 more
TL;DR: A real-time and retrospective North American Land Data Assimilation System (NLDAS) is presented in this article, which consists of four land models executing in parallel in uncoupled mode, common hourly surface forcing, and common streamflow routing: all using a 1/8° grid over the continental United States.