Presentations from the 2019 Annual WRF & MPAS Users’ Workshop¶
Lecture Series: An Overview of Atmospheric Model Visualization and Analysis Tools and Approaches¶
LS-1 |
Visualization best practices for geosciences |
Pearse, Scott, NSF NCAR/CISL |
|
LS-2 |
The NCL Pivot to Python |
Clyne, John, NSF NCAR/CISL |
|
LS-3 |
The integrated Data Viewer: A 3d visualization and analysis tool for atmospheric and oceanic research and education |
Chastang, Julien, Unidata/UCP |
|
LS-4 |
MetPy: Python tools for meteorological data analysis and visualization |
May, Ryan, Unidata/UCP |
|
LS-5 |
Visualization of WRF and MPAS forecast datasets with Python |
Sobash, Ryan, NSF NCAR/MMM |
Welcome¶
See 2019 Workshop welcome remarks
Annual Development Updates¶
Chair: Jordan Powers, NSF NCAR/MMM
1.1 |
The Weather Research and Forecasting Model: 2019 Annual Update |
Jimy Dudhia, Mesoscale and Microscale Meteorology Laboratory, NSF National Center for Atmospheric Research |
|
1.2 |
WRFDA 2019 Update |
Zhiquan Liu, Jonathan Guerrette, Jamie Bresch, Juanzhen Sun, Junmei Ban, Yali Wu, Wei Sun, and Chris Snyder, MMM, NSF National Center for Atmospheric Research |
|
1.3 |
MPAS Update |
Bill Skamarock, MMM, NSF National Center for Atmospheric Research |
|
1.4 |
Using the Coupled-Ocean-Atmosphere-Waves-Sediment-Transport (COAWST) Modeling System to Investigate Storm Dynamics |
John C. Warner, U.S. Geological Survey, Coastal/Marine Hazards and Resources Program, Woods Hole, MA, Joseph B. Zambon, Ruoying He, North Carolina State University, Department of Marine, Earth, and Atmospheric Sciences, Raleigh, NC, Maitane Olabarrieta, Department of Civil and Coastal Engineering, University of Florida, Gainesville, FL, and Christie Hegermiller, Woods Hole Oceanographic Institution, Woods Hole, MA |
Other Model Developments¶
Chair: Ligia Bernardet, *CIRES and NOAA
2.1 |
Atmospheric modeling of the high southern latitudes with Polar WRF |
Bromwich, David H., Jianjun Xue, Lesheng Bai, and Keith M. Hines, Byrd Polar & Climate Research Center, The Ohio State University |
|
2.2 |
Results from the implementation of an implicit-explicit vertical advection scheme in WRF-ARW for CAM systems |
Wicker, Lou, NOAA/NSSL |
|
2.3 |
The final Rapid Refresh and High-Resolution Rapid Refresh operational implementation and the bridge to a Unified Forecast System |
Alexander, Curtis, David Dowell, Steve Weygandt, Stan Benjamin, National Oceanic and Atmospheric Administration (NOAA), Ming Hu, Tanya Smirnova, Joe Olson, Jaymes Kenyon, NOAA and University of Colorado/Cooperative Institute for Research in Environmental Sciences (CIRES), Georg Grell, NOAA, Eric James, NOAA and CIRES, Haidao Lin, NOAA and Colorado State University/Cooperative Institute for Research in the Atmosphere (CIRA), Terra Ladwig, Jeff Duda, NOAA and CIRES, John Brown, Trevor Alcott, NOAA, and Isidora Jankov, NOAA and CIRA |
|
2.4 |
The MAD-WRF solar irradiance nowcasting model: model overview and evaluation of the cloud initialization system |
Jimenez, P.A, G. Thompson, J. Dudhia, and J.A. Lee, NSF National Center for Atmospheric Research |
|
2.5 |
Augmenting MPAS with online diagnostics |
Wong, John, Todd Hutchinson, Brett Wilt, and James Cipriani, The Weather Company, an IBM Business |
|
2.6 |
Using hierarchical time-stepping to utilize MPAS-A computational resources for customized extreme variable-resolution meshes |
Ng, Ka-Ki, Kwan-Shu Tse, Yuk Sing Lui, Wai-Nang Leung, Chi Chiu Cheung, and Sze-Chuan Suen, ClusterTech Limited, Hong Kong |
|
2.7 |
A machine learning surface layer parameterization for WRF |
Gagne, David, Tyler McCandless, Branko Kosovic, Amy DeCastro, Thomas Brummet, Sue Haupt, Richard Loft, NSF National Center for Atmospheric Research, and Bai Yang, NOAA |
Software Developments¶
Chair: Todd Hutchinson, The Weather Company, an IBM Business
3.1 |
Performance evaluation of numerical weather prediction and climate models on Intel architecture |
Ovsyannikov, Andrey, Intel Corporation |
|
3.2 |
MPAS on GPUs |
Suresh, Supreeth, NSF NCAR/UCAR, and Raghuraj Kumar, NVIDIA |
|
3.3 |
GPU performance study for the WRF model on the Summit supercomputer |
Adie, Jeff, NVIDIA, Gokhan Sever, Rajeev Jain, DOE Argonne NL, and Jeffrey Aide, NVIDIA |
|
3.4 |
Challenges and techniques to port MPAS on to GPUs |
Kumar, Raghuraj, NVIDIA, S. Suresh, NSF NCAR/UCAR |
|
3.5 |
Quantifying “these results should be almost the same”; for differences: how big is too big? |
Gill, David, NSF National Center for Atmospheric Research |
|
3.6 |
Automated testing in MPAS and WRF models |
Abdi-Oskouei, Maryam, MMM/JCSDA, UCAR, David Gill, Michael Duda, MMM/UCAR, and Yannick Tremolet, JCSDA/UCAR |
Data Assimilation¶
Chair: Jake Liu, NSF NCAR
4.1 |
Data assimilation for MPAS |
Snyder, Chris, and Zhiquan Liu, NSF National Center for Atmospheric Research |
|
4.2 |
Implementation of incremental analysis updates (IAU) in 1-hr updated cycling forecasting system |
Chen, Min, Institute of Urban Meteorology, CMA, Beijing, China, and Xiang-yu Huang, Centre for Climate Research Singapore, Singapore |
|
4.3 |
Retrospective analysis of 2015-2017 winter-time PM2.5 in China: response to emission regulations and the role of meteorology |
Chen, Dan, Institute of Urban Meteorology, China Meteorological Administration, Beijing, China, Zhiquan Liu, Junmei Ban, NSF National Center for Atmospheric Research, Pusheng Zhao, and Min Chen, Institute of Urban Meteorology, China Meteorological Administration, Beijing, China |
|
4.4 |
Improving forecasts of the record-breaking Guangzhou “57” rainstorm by assimilating every 10-min AHI radiances with WRF 4DVAR |
Wu, Yali, Zhiquan Liu, NSF National Center for Atmospheric Research, and Deqin Li, Institute of Atmospheric Environment, Shenyang, China |
Discussion: User Support Update & Using Git¶
WRF-Chemistry¶
Chair: Georg Grell, GSD/ESRL/NOAA
5.1 |
Modeling diurnal variation of surface PM2.5 concentration over East China with WRF-Chem: Impacts from boundary mixing and emission |
Du, Qiuyan, Chun Zhao, Mingshuai Zhang, Xue Dong, Yu Chen, University of Science and Technology of China, Zhen Liu, The Chinese University of Hong Kong, Zhiyuan Hu, Siyu Chen, Lanzhou University, China, and Qiang Zhang, Tsinghua University, China |
|
5.2 |
Prediction of acidity in WRF-Chem |
Barth, Mary C., NSF National Center for Atmospheric Research, and Rahul Zaveri, Pacific Northwest National Laboratory |
|
5.3 |
Numerical simulation of an extreme haze pollution event over North China Plain based on initial and boundary condition ensembles |
Liu, Hongbo, Xiaobin Li, JuanJuan Liu, LASG, Institute of Atmospheric Physics, China, and Ziyin Zhang, Institute of Urban Meteorology, China Meteorological Administration, China |
|
5.4 |
Scavenging of ozone precursors in convective clouds observed during a SEAC4RS case study |
Cuchiara, Gustavo C., NSF NCAR and University of Colorado, Mary C. Barth, NSF NCAR, and Alan Fried, University of Colorado |
|
5.5 |
Impact of topography on aerosol transport from the southern Tibetan Plateau and its implication for aerosol climatic impact |
Zhao, Chun, Meixin Zhang, University of Science and Technology of China (USTC), China, Zhiyuan Cong, Institute of Tibetan Plateau research, China, Qiuyan Du, Mingyue Xu, Yu Chen, Rui Li, Yufei Fu, USTC, Ming Chen, and Jimy Dudhia, NSF NCAR |
|
5.6 |
Assimilation of GOCI AOD retrievals to improve air-quality forecasting during the KORUS-AQ period |
Ha, Soyoung, NSF NCAR/MMM |
Model Evaluation (1)¶
Chair: Lou Wicker, NSSL/NOAA
6.1 |
Partitioning between deep and shallow convection in MPAS |
Fowler, Laura D., and Mary C. Barth, Mesoscale & Microscale Meteorology Laboratory, NSF National Center for Atmospheric Research |
|
6.2 |
Mechanisms improving tropical rainfall diurnal cycle in convection-permitting WRF |
Argueso, D., Department of Physics, University of the Balearic Islands, Spain, A. Di Luca, Climate Change Research Centre, University of New South Wales, Australia, and R. Romero, Department of Physics, University of the Balearic Islands, Spain |
|
6.3 |
The representation of precipitation characteristics in high resolution WRF simulations over western Canada |
Erler, Andre R., Aquanty Inc., Canada, and Brian Menounos, University of Northern British Columbia, Canada |
|
6.4 |
Evaluating simulated microphysics using GPM satellite observations in the Pacific Northwest |
Conrick, Robert, and Clifford F. Mass, University of Washington |
|
6.5 |
Revisiting sensitivity to horizontal grid spacing in convection-allowing models over the central-eastern United States using a large dataset |
Schwartz, Craig S., and Ryan A. Sobash, NSF National Center for Atmospheric Research |
|
6.6 |
Convective system structure, evolution and severe weather potential in 1 versus 3 km WRF forecasts |
Weisman, Morris, NSF National Center for Atmospheric Research |
Poster Session¶
Data Assimilation¶
P1 |
L1 estimation of fire arrival time using satellite data |
Hearn, Lauren, Angel Farguell, James Haley, and Jan Mandel, University of Colorado Denver, and Adam Kochanski, University of Utah |
|
P2 |
Recovering fire arrival time from satellite data by machine learning |
Farguell, Angel, James Haley, Lauren Hearn, and Jan Mandel, University of Colorado Denver, and Adam Kochanski, University of Utah |
|
P3 |
Data assimilation cycling in a coupled fire-atmosphere model |
Haley, James, Angel Farguell, Jan Mandel, and Lauren Hern, University of Colorado Denver, and Adam Kochanski, University of Utah |
|
P4 |
Testing the radial wind data assimilation for 3-km high resolution convective forecasts |
Zhou, Chunhua, NSF NCAR, Ming Hu, Guoqing Ge, NOAA/ESRL, Ying Zhang, Michael Kavulich, and Lindsay Blank, NSF NCAR |
|
P5 |
Presentation Withdrawn |
||
P6 |
All-sky infrared radiance assimilation using GOES-16 ABI in WRFDA |
Guerrette, Jonathan (JJ), Zhiquan (Jake) Liu, and Chris Snyder, NSF NCAR/MMM |
|
P7 |
PBL thermodynamic profile assimilation and impacts on land-atmosphere coupling |
Santanello, Joseph, NASA-GSFC, Sara Zhang, SAIC/NASA-GSFC, Dave Turner, NOAA-ESRL, and Patricia Lawston, ESSIC/NASA-GSFC |
|
P8 |
Continuously Cycled Surface and Radar Data Assimilation and its influence on Afternoon Thunderstorm Prediction in Taiwan |
Chen, I-Han, Jing-Shan Hong, and Ya-Ting Tsai, Central Weather Bureau, Taiwan |
|
P9 |
Towards operational data assimilation with global MPAS at convective-allowing resolution |
Cipriani, James, Ken Dixon, and Brett Wilt, The Weather Company, an IBM Business |
|
P10 |
2015 and 2016 winter-time air pollution in China: SO2 emission changes derived from a WRF-Chem/EnKF coupled data assimilation system |
Chen, Dan, Institute of Urban Meteorology, China Meteorological Administration, China, Zhiquan Liu, Junmei Ban, NSF National Center for Atmospheric Research, and Min Chen, Institute of Urban Meteorology, China Meteorological Administration, China |
|
P11 |
NOAA’s Commercial Weather Data Project: Evaluating the impact of assimilating additional GNSS-RO data into operational forecast models |
Newman, Kathryn, Chunhua Zhou, Julia Pearson, NSF National Center for Atmospheric Research (NCAR) and Developmental Testbed Center (DTC), Hui Shao, Joint Center for Satellite Data Assimilation (JCSDA), and Louisa Nance, NSF NCAR and DTC |
Chemistry¶
P12 |
A comparison of simulated dust over Southwest Asia produced by the three dust-emission schemes currently implemented in the community WRF-Chem model |
LeGrand, Sandra, U.S. Army Engineer Research and Development Center (ERDC) |
|
P13 |
Sensitivity analysis of aerosol chemical mechanisms in air quality modeling (WRF-Chem) |
Lee, Hyo-Jung, Hyun-Young Jo, Yu-Jin Jo, Shin-Young Park, Geum-Hee Yang, Jong-Min Kim, and Cheol-Hee Kim, Pusan National University, South Korea, Young-Hee Lee, and Lim-Seok Chang, National Institute of Environmental Research, South Korea |
|
P14 |
Emissions, transport, and chemistry of smoke from Western U.S. wildfires |
Bela, Megan M., University of Colorado Boulder (CU Boulder) Cooperative Institute for Research in the Environmental Sciences (CIRES) and National Oceanic and Atmospheric Administration Earth System Research Laboratory Chemical Sciences Division (NOAA-ESRL-CSD), Natalie Kille, CU Boulder Department of Atmospheric and Oceanic Sciences, Stuart A. McKeen, Ravan Ahmadov, CIRES and NOAA-ESRL-CSD, Gabriel Pereira, Federal University of Sao Joao del-Rei, Brazil, Chris Schmidt, NOAA National Environmental Satellite, Data, and Information Service (NESDIS), R. Bradley Pierce, Space Science and Engineering Center, University of Wisconsin-Madison, Susan M. O’Neill, United States Forest Service, Xiaoyang Zhang, South Dakota State University, Shobha Kondragunta, NESDIS, Christine Wiedinmyer, CIRES, and Rainer Volkamer, CU Boulder Department of Chemistry and Biochemistry |
|
P15 |
A numerical and observational study on the particulate matters from extremely high temperature condition in 2018 in Busan, Korea |
Yang, Geum-Hee, Hyo-Jung Lee, Hyun-Young Jo, Shin-Young Park, Yu-Jin Jo, Jong-min Kim, and Cheol-Hee Kim, Pusan National University, Korea |
|
P16 |
Modeling for KORUS-AQ 2016 - Influence of long-range transport on air quality in the Seoul metropolitan area |
Pfister, Gabriele, Louisa Emmons, NSF National Center for Atmospheric Research, and Christoph Knote, Ludwig-Maximilians-University, Munich |
|
P17 |
The evaluation of precipitation susceptibility from satellite and WRF-Chem model over Northeast Asia |
Park, Shin-Young, Hyo-Jung Lee, Hyun-Young Jo, Yu-Jin Jo, Geum-Hee Yang, Jong-Min Kim, and Cheol-Hee Kim, Pusan National University, Republic of Korea |
Physics¶
P18 |
Fuel moisture model in WRF-Fire and assimilation of RAWS data |
Mandel, Jan, University of Colorado Denver, Adam Kochanski, University of Utah, and Martin Vejmelka, CEAI, Czech Republic |
|
P19 |
Adjoint sensitivity analysis of FARMS for Forecasting Variables of WRF-Solar |
Yang, Jaemo, Manajit Sengupta, Yu Xie, National Renewable Energy Laboratory, Pedro A. Jimenez, and Ju-Hye Kim, NSF National Center for Atmospheric Research |
|
P20 |
Sensitivity of boundary layer structure in complex terrain to land use and land surface models |
Pattantyus, Andre, U.S. Army Research Laboratory |
|
P21 |
Mass-flux parameterization of turbulent downdrafts in marine stratocumulus clouds |
Wu, Elynn, Handa Yang, Jan Kleissl, Center for Renewable Resource and Integration, Department of Mechanical and Aerospace Engineering, University of California, Kay Suselj, Marcin J. Kurowski, and Joao Teixeira, Jet Propulsion Laboratory, California Institute of Technology |
|
P22 |
Moist convection on Jupiter simulated by a new global circulation model - PlanetMPAS |
Lian, Yuan, Mark I. Richardson, Aeolis Research, and Adam P. Showman, The University of Arizona |
|
P23 |
Sensitivity of microphysics parameterizations to aerosol loading |
Grell, Evelyn, CIRES, University of Colorado Boulder and NOAA/ESRL/PSD, Jian-Wen Bao, NOAA/ESRL/PSD, Sara Michelson, CIRES, University of Colorado Boulder and NOAA/ESRL/PSD |
|
P24 |
Two moment coupled microphysics on Mars |
Lee, Christopher, University of Toronto, Canada |
|
P25 |
Recent development of the MYNN turbulence parameterization for RAPv5/HRRRv4 |
Kenyon, Jaymes, Joseph Olson, Wayne Angevine, CIRES and NOAA/ESRL, and John Brown, NOAA/ESRL |
|
P26 |
WRF explicit surface wave modeling experiments beneath Hurricane Florence (2018) |
Zambon, Joe, Ruoying He, North Carolina State University - Department of Marine, Earth, and Atmospheric Sciences, John C. Warner, United States Geological Survey (USGS), and Christie Hegermiller, Woods Hole Oceanographic Institution |
|
P27 |
Facilitating development of physical parameterizations for NOAA’s Unified Forecast System |
Bernardet, Ligia, University of Colorado Cooperative Institute for Research in Environmental Sciences (CU/CIRES) and NOAA ESRL Global Systems Division (NOAA/ESRL/GSD) and Developmental Testbed Center (DTC), G. Firl, NSF National Center for Atmospheric Research (NCAR) and DTC, D. Heinzeller, CU/CIRES, DTC and NOAA/ESRL/GSD, L. Carson, NSF NCAR and DTC, M. Zhang, CU/CIRES, DTC, and NOAA/ESRL/GSD, J. Wolff, NSF NCAR and DTC, J. Henderson, NOAA/ESRL/GSD and DTC, W. Li, T. Hertneky, NSF NCAR and DTC, L. Pan, CU/CIRES, DTC and NOAA/ESRL/GSD, L. Blank, M. Harrold, J. Dudhia, and L. Nance, NSF NCAR and DTC |
Regional Climate¶
P28 |
Using Noah-MP-Crop to study cropland impact on regional climate in the Northern Great Plains |
Scott, Aaron, and Aaron Kennedy, University of North Dakota |
|
P29 |
Characteristics of 2016 and 2018 heat wave events over South Korea and their predictability in the operational prediction system of KMA |
Yoon, Donghyuck, Dong-Hyun Cha, Ulsan National Institute of Science and Technology, South Korea, and Ki-Hong Min, Kyungpook National University, South Korea |
|
P30 |
Relationship between Indian Ocean SSTs and the East African Short Rains |
Liu, Weiran, Kerry H. Cook, and Edward K. Vizy, Department of Geological Sciences, Jackson School of Geosciences, The University of Texas |
|
P31 |
Changes in precipitation and snowpack across Alaska in a high-resolution future climate change simulation |
Newman, Andrew J., Research Applications Laboratory, NSF National Center for Atmospheric Research, Monaghan, Martyn P. Clark, Center for Research Data & Digital Scholarship, University of Colorado, Kyoko Ikeda, Lulin Xue, Research Applications Laboratory, NSF National Center for Atmospheric Research, and Jeff. R. Arnold, Climate Preparedness and Resilience Program, US Army Corps of Engineers |
|
P32 |
Contrasting responses of urban and forest surface temperature to heat waves |
Wang, Liang, and Dan Li, Boston University |
|
P33 |
Sub-km WRF configuration for testing over the U.S. Army Research Laboratory’s Meteorological Sensor Array in the Jornada Experimental Range |
Dumais, Robert, Brian Reen, Chris Hocut, and Andre Pattantyus, U.S. Army Combat Capabilities Development Command - Army Research Laboratory, Computational Information and Sciences Directorate, Battlefield Environment Division, WSMR, NM |
Model Evaluation¶
P34 |
Development of new tropical cyclone tools within METplus |
Newman, Kathryn, John Halley Gotway, Randy Bullock, David Fillmore, Tracy Hertneky, NSF National Center for Atmospheric Research (NCAR) and Developmental Testbed Center (DTC), Evan Kalina, U. of Colorado Cooperative Institute for Research in Environmental Sciences (CIRES) at the Global Systems Division (GSD) of the national Oceanic and Atmospheric Administration Earth System Research laboratory (NOAA ESRL) and DTC, Mrinal Biswas, NSF NCAR and DTC, Evelyn Grell, CIRES at Physical Sciences Division of NOAA ESRL and DTC, and Tara Jensen, NSF NCAR and DTC |
|
P35 |
Increased momentum toward unified verification and diagnostic evaluation of NCAR community models |
Jensen, Tara L., John Halley Gotway, Michael Ek, NSF NCAR/RAL, Chris Davis, Jimy Dudhia, NSF NCAR/MMM, and Andrew Gettleman, NSF NCAR/CGD |
|
P36 |
IBM GRAF: A rapidly-updating global NWP system |
Hutchinson, Todd, Brett Wilt, James Cipriani, John Wong, Ken Dixon, The Weather Company, an IBM Business, Rich Loft, Bill Skamarock, and Michael Duda, NSF National Center for Atmospheric Research |
|
P37 |
Modeling extreme precipitation over East China with a global variable-resolution modeling framework (MPASv5.2): Impacts of resolution and physics |
Xu, Mingyue, Chun Zhao, Yu Wang and Meixin Zhang, School of Earth and Space Sciences, University of Science and Technology of China, Hefei, China, Jianping Guo, State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, China, Zhiyuan Hu, Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, Lanzhou University, Gansu, China, L. Ruby Leung, Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Michael Duda and William Skamarock, NSF National Center for Atmospheric Research |
|
P38 |
Extended range severe weather forecasts using WRF and MPAS |
Sobash, Ryan, and Craig Schwartz, NSF NCAR/MMM |
|
P39 |
Reproduction analysis of detailed rainfall distribution by WRF using Japanese 55-year Reanalysis (JRA55) |
Inaba, Naoki, Shigeto Ando and Nozomu Takada, Meteorological Engineering Center, Inc., Japan |
|
P40 |
Impact of cumulus parameterization schemes on the simulation of heavy rainfall event over the Korea Peninsula on 16 July, 2017 |
Park, Haerin, Ulsan National Institute of Science and Technology |
|
P41 |
Removed |
||
P42 |
Adapting MPAS FDDA to use analysis nudging with 3-hour updates |
Bullock Jr., Russell, U.S. Environmental Protection Agency |
|
P43 |
Spatiotemporal coastal-urban boundary-layer performance of a high-resolution urbanized-WRF: Comparisons with ground-based remote sensing during a heat event |
Melecio-Vazquez, David, Department of Mechanical Engineering and NOAA-CREST Center, The City College of New York (CCNY), Jaymes Kenyon, Joseph Olson, Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, and NOAA/Earth System Research Laboratory, Prathap Ramamurthy, Department of Mechanical Engineering and NOAA-CREST Center, CCNY, Mark Arend, Department of Electrical Engineering and NOAA-CREST Center, CCNY, and Jorge E. Gonzalez-Cruz, Department of Mechanical Engineering and NOAA-CREST Center, CCNY |
|
P44 |
Sensitivity experiments of urban canopy parameterizations using ensemble WRF simulations over the Chicago metropolitan |
Sever, Gokhan, Rob Jacob, Rajeev Jain, Aleks Obabko, Rao Kotamarthi, and Charlie Catlett, Argonne National Laboratory |
|
P45 |
Evaluation of a hierarchy of urban canopy parameterizations in the WRF model during the passage of a cold front in Houston |
Hendricks, Eric A., Jason C. Knievel, and Yi Wang, NSF National Center for Atmospheric Research |
|
P46 |
Effect of the land surface hydrologic processes on land-air interactions in Taiwan using WRF-Noah and WRF-NoahMP |
Tzu-Ying, Chen, and Fang-Yi Cheng, Graduate institute of Atmospheric Physics, National Central University, Taiwan |
|
P47 |
Influence of Near Real-Time Green Vegetation Fraction Data in WRF on the Prediction of Surface Variables over Northern China |
Lu, Bin, Jiqin Zhong, Institute of Urban Meteorology; China Meteorological Administration, W. Wang, NSF NCAR/MMM, Zhaojun Zheng, National Satellite Meteorological Center, CMA, and Min Chen, IUM/CMA |
|
P48 |
Application of WRF-Hydro v5.0 for an operational, highly localized land surface and streamflow predictions in the Lake George, NY watershed |
Tewari, Mukul, Campbell D. Watson, IBM, Thomas J. Watson Research Center, and Alvaro B. Buoro, IBM Research, Brazil |
|
P49 |
WRF model resolution impacts on a hydrodynamic model in near-shore environments |
Watson, Campbell D., Guillaume Auger, Harry R. Kolar, and Lloyd A. Treinish, IBM Research, TJ Watson Research Center |
|
P50 |
Forecasting intense summer synoptic-scale cyclones over the Arctic Ocean |
Bromwich, David H., Lesheng Bai, Byrd Polar & Climate Research Center, The Ohio State University, Zhiquan Liu, NSF NCAR, and Hailing Zhang, COSMIC Program Office, UCAR |
|
P51 |
Low-level jets in the Autumnal Marginal Ice Zone: Sensitivity to sea ice extent and the influence of coupling on surface turbulent heat fluxes |
Hughes, Mimi, Ola Persson, Amy Solomon, CIRES, University of Colorado, Boulder and NOAA/ESRL/PSD and Janet Intrieri, NOAA/ESRL/PSD |
|
P52 |
Predicting wet snow and freezing rain icing events over Vermont using a WRF ensemble |
Siuta, David, and Jason Shafer, Northern Vermont University - Lyndon |
|
P53 |
Operational air quality forecast for the Gulf of Mexico. Phase 1: meteorological evaluation |
Garcia, Agustin, Universidad Nacional Autonoma de Mexico, CCA, Mexico, Victor Almanza, Cuauhtemoc Turrent, and Favio Medrano, Ensenada Center for Scientific Research and Higher Education (CICESE), Mexico |
|
P54 |
Impact of spectral nudging on real-time tropical cyclone forecast* |
Moon, Jihong, Dong-Hyun Cha, Minkyu Lee, Ulsan National Institute of Science and Technology, South Korea, and Joowan Kim, Kongju National University, South Korea |
|
P55 |
Near real-time forecasting experiment of typhoon in the South China Sea with a high resolution regional fully-coupled model |
Wang, Donghai, Sun Yat-Sen University, China |
|
P56 |
Meteotsunamis in the Gulf of Mexico and eastern United States during hurricane seasons 2016-2018 |
Olabarrieta, Maitane and Luming Shi, University of Florida, David S. Nolan, University of Miami, and John C. Warner, US Geological Survey |
|
P57 |
Large-eddy simulation of idealized hurricanes at different sea surface temperatures |
Ren, Hehe, Key Lab of Smart Prevention and Mitigation for Civil Engineering Disasters of the Ministry of Industry and Information, and Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education, Harbin Institute of Technology, China, Jimy Dudhia, Mesoscale and Microscale Meteorology Laboratory, NSF National Center for Atmospheric Research, and Hui Li, Key Lab of Smart Prevention and Mitigation for Civil Engineering Disasters of the Ministry of Industry and Information, and Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education, Harbin Institute of Technology, China |
|
P58 |
Evaluation of the MYNN planetary boundary layer scheme in the Hurricane Weather Research and Forecast (HWRF) system |
Kalina, Evan, Cooperative Institute for Research in Environmental Sciences (CIRES) and National Oceanic and Atmospheric Administration (NOAA)/Global Systems Division (GSD), Robert Fovell, State University of New York-Albany, Mrinal Biswas, Kathryn Newman, NSF National Center for Atmospheric Research (NCAR), Evelyn Grell, CIRES and NOAA/Physical Sciences Division, Laurie Carson, NSF NCAR, and James Frimel, Cooperative Institute for Research in the Atmosphere and NOAA/GSD |
|
P59 |
Evaluation of the MYNN PBL scheme for predicting tropical cyclones with HWRF model |
Biswas, Mrinal K., NSF National Center for Atmospheric Research (NCAR) and Developmental Testbed Center (DTC), Evan Kalina, University of Colorado Cooperative Institute for Research in Environmental Sciences (CU/CIRES) at the NOAA Earth System Research Laboratory/Global Systems Division (NOAA/ESRL/GSD) and DTC, Kathryn Newman, NSF NCAR/DTC, Evelyn Grell, CU/CIRES at the NOAA/ESRL/Physical Systems Division and DTC, Laurie Carson, NSF NCAR/DTC, and James Frimel, Colorado State University Cooperative Institute for Research in the Atmosphere at the NOAA/ESRL/GSD and DTC |
|
P60 |
Impact of cloud microphysics schemes on typhoon forecast over the western North Pacific |
Park, Jinyoung, Minkyu Lee, Jihong Moon, and Dong-Hyun Cha, Ulsan National Institute of Science and Technology, South Korea |
|
P61 |
Evaluation of a scale separation technique for assessing WRF forecasts of radar reflectivity |
Raby, John W., Brian P. Reen, Huaqing Cai, Jeffrey Smith, and Robert Dumais, Army Research Laboratory |
|
P62 |
Characterization of the boundary layer structures and local airflow over the complex terrain in Taiwan using high resolution WRF model |
Wang, Yu-Tzu, Fang-Yi Cheng, National Central University, Taiwan, and Hyeyum Hailey Shin, NSF National Center for Atmospheric Research |
|
P63 |
On the diurnal development of Sundowner winds in coastal Santa Barbara, CA |
Duine, Gert-Jan, Earth Research Institute, University of California Santa Barbara, Charles Jones, and Leila MV Carvalho, Dept. of Geography and Earth Research Institute, University of California Santa Barbara |
|
P64 |
Applying design of experiments to numerical weather prediction |
Smith, Jeffrey A., US CCDC ARL (USCCDCARL), Judah L. Cleveland, Oak Ridge Associated Universities, John W. Raby, USCCDCARL, Richard S. Penc, Self |
|
P65 |
MPAS-A sensitivity to floating-point precision, mesh configuration, and interpolation scheme for weather forecasting in western Canada |
Chui, Timothy C. Y., and Roland Stull, University of British Columbia, Canada |
|
P66 |
Comparing numerical accuracy of icosahedral A-grid and C-grid schemes for the Shallow Water Model |
Yu, Yonggang G., Ning Wang, Mark W. Govett, NOAA/ESRL/GSD |
|
P67 |
A comparison of MPAS and WRF meteorological models in California: 2013 winter and 2016 summer case studies |
Gurer, Kemal, Jeremy Avise, and John DaMassa, California air Resources Board, Air Quality Planning and Science Division |
|
P68 |
A systematic approach for identifying model differences using the Method for Object-based Diagnostic Evaluation (MODE) |
Hertneky, Tracy, Tressa Fowler, and Randy Bullock, NSF National Center for Atmospheric Research and the Developmental Testbed Center |
Model Development¶
P69 |
MarsMPAS: It’s MPAS, but for Mars |
Richardson, Mark I., and Yuan Lian, Aeolis Research |
|
P70 |
WRF-XPY: Numerical modeling framework for operational coupled fire-atmosphere-fuel moisture forecasting |
Kochanski, Adam, Derek V. Mallia, University of Utah, Jan Mandel, Angel Farguell Caus, University of Colorado Denver, Martin Vejmelka, AVAST, and Sher Schranz, NOAA/CIRA |
|
P71 |
AceCAST GPU-enabled Weather Research and Forecasting model development and applications |
Elliott, Samuel, Paul Maravelias, Daniel Abdi, Christian Tenasescu, and Gene Pache, TempoQuest Inc. |
Model Evaluation (2)¶
Chair: Joe Olson, CIRES and NOAA
8.1 |
Mass flux divergence in a Hurricane |
Huang, Wei, Hewlett Packard Enterprises |
|
8.2 |
Summer and wintertime variations of the surface and near-surface UHI in a semiarid environment |
Salamanca, Francisco, and Alex Mahalov, Arizona State University |
|
8.3 |
Evaluation of surface sensible weather forecasts by the MPAS model |
Cheng, William Y.Y., Wanli Wu, Tom Henderson, Tim Brown, Paul Madden, Christina Holt, Mike Kay, Dusanka Zupanski, Razvan Stefanescu, Alexander MacDonald, Spire Global Inc, and Laura Fowler, NSF NCAR |
|
8.4 |
WRF cold bias using NOAH-MP over snow |
Mass, Cliff, and David Ovens, Department of Atmospheric Sciences, University of Washington |
|
8.5 |
Evaluation of a scale-aware 3DTKE subgrid mixing parameterization in NWP applications |
Zhang, Xu, Baode Chen, Shanghai Typhoon Institute, Chinese Meteorological Administration, China, Jian-Wen Bao, PSD/ESRL/NOAA |
|
8.6 |
Evaluation of HRRR boundary layer structure via high-resolution radiosondes |
Fovell, Robert, University at Albany, SUNY |
Physics¶
Chair: Rob Fovell, SUNY Albany
9.1 |
Urban model and Noah-MP land model development and future directions |
Barlage, Michael, and Fei Chen, NSF NCAR |
|
9.2 |
Improving cloud and solar radiation forecasts in the RAP/HRRR forecast systems |
Olson, Joseph B., Jaymes S. Kenyon, NOAA/CIRES, Greg Thompson, NSF NCAR, John M. Brown, NOAA, Wayne M. Angevine, NOAA/CIRES, Dave Turner, Stan Benjamin, and Georg Grell, NOAA |
|
9.3 |
Scale-aware tests of the MYNN-EDMF PBL and shallow cumulus scheme with a novel framework |
Angevine, Wayne M., and Joseph Olson, CIRES, University of Colorado, and NOAA GSL |
|
9.4 |
Development of Bulk cloud microphysics schemes with prognostic hail in WRF |
Bae, Soo-Ya, Song-You Hong, KIAPS, Korea, and Wei-Kuo Tao, NASA/GSFC |
|
9.5 |
Evaluating and tuning the orographic gravity wave drag scheme in the RAP model |
Toy, Michael D., Joseph B. Olson, Tanya G. Smirnova, Jaymes S. Kenyon, NOAA/Earth System Research Laboratory (NOAA/ESRL), and Cooperative Institute for Research in Environmental Sciences, Boulder, Colorado, John M. Brown, and Georg A. Grell, NOAA/ESRL |
|
9.6 |
Enhancing WRF-Solar to provide solar irradiance probabilistic forecasts |
Kim, Ju-Hye, Pedro A. Jimenez, NSF National Center for Atmospheric Research, Manajit Sengupta, Jaemo Yang, National Renewable Energy Laboratory, Jimy Dudhia, NSF NCAR, Yu Xie, NREL, and Branko Kosovic, NSF NCAR |
Miscellaneous¶
Chair: Cliff Mass, University of Washington
10.1 |
Can coupled fire-atmosphere models predict smoke-induced inversions from wildfires? |
Mallia, Derek V., Adam K. Kochanski, Department of Atmospheric Sciences, University of Utah, Salt Lake City, Jan Mandel, Department of Mathematical and Statistical Sciences, University of Colorado, and Tim Brown, Desert Research Institute |
|
10.2 |
Best practices for simulating wind farm wakes with the WRF Wind Farm Parameterization |
Tomaszewski, Jessica M., University of Colorado Boulder (CU Boulder), and Julie K. Lundquist, CU Boulder and the National Renewable Energy Laboratory |
|
10.3 |
Regional MPAS and WRF: Comparison and Evaluation |
Chen, Ming, May Wong, Bill Skamarock, and Wei Wang, MMM/NSF National Center for Atmospheric Research |
|
10.4 |
IBM GRAF - Scale-aware convective forecast evaluation and improvements |
Wilt, Brett, The Weather Company, an IBM Business, and Wei Wang, NSF National Center for Atmospheric Research |
|
10.5 |
Subseasonal prediction in a global convection-permitting model: insights and challenges in simulating tropical convection and extratropical teleconnections |
Weber, Nick, and Cliff Mass, University of Washington |
|
10.6 |
The Common Community Physics Package CCPP: Unifying physics across NOAA and NCAR models using a common software framework |
Heinzeller, Dom, NOAA ESRL - Global Systems Division (NOAA/ESRL/GSD) and University of Colorado Cooperative Institute for Research in Environmental Sciences (CU/CIRES) and Developmental Testbed Center (DTC), Grant Firl, NSF National Center for Atmospheric Research (NCAR) and DTC, Ligia Bernardet, NOAA/ESRL/GSD and CU/CIRES and DTC, Laurie Carson, NSF NCAR and DTC, Man Zhang, NOAA/ESRL/GSD and CU/CIRES and DTC, Steve Goldhaber, Cheryl Craig, Dave Gill, Michael Duda, and Francis Vitt, NSF NCAR |
Wrap-up Discussion: NCAR’s Model Unification Effort¶
Discussion 1 |
An update on the System for Integrated Modeling of the Atmosphere (SIMA) |
Davis, Chris, Jean-Francois Lamarque, Andrew Gettelman, Bill Skamarock, Mary Barth, and Hanli Liu, NSF NCAR |
|
Discussion 2 |
The current status and future of WRF-Chem |
Grell, Georg, Ravan Ahmadav, NOAA, Mary Barth, Gabi Pfister, NSF NCAR, and Jerome Fast, PNNL |
Instructional Sessions¶
VAPOR (no slides available)
WRF in Amazon Web Services (WRF in the Cloud) WRF in the Cloud Slides
Building a WRF Workflow with Scala Computing (WRF in the Cloud) (no slides available)
WRF-Python (no slides available)