Presentations from the 2018 Annual WRF & MPAS Users’ Workshop¶
Lecture Series: Model Unification Efforts at NSF NCAR¶
LS-1 |
Singletrack Overview |
Chris Davis, NSF NCAR/MMM |
|
LS-2 |
Dynamical Cores |
Bill Skamarock, NSF NCAR/MMM, and Peter Lauritzen, NSF NCAR/CGD |
|
LS-3 |
Physics |
Dave Gill, NSF NCAR/MMM, and Andrew Gettelman, NSF NCAR/CGD |
|
LS-4 |
Infrastructure |
Mariana Vertenstein, Unidata/UCP, and Michael Duda, NSF NCAR/MMM |
|
LS-5 |
Data Assimilation and Singletrack |
Chris Snyder, NSF NCAR/MMM, and Jeff Anderson, NSF NCAR/CISL |
|
LS-6 |
Unified Chemistry and Singletrack |
Mary Barth, NSF NCAR/ACOM |
|
LS-7 |
Land Surface Modeling (Community Terrestrial System Modeling - CTSM) and Singletrack |
Martyn Clark, and Mike Barlage, NSF NCAR/RAL |
Annual Development Updates¶
Chair: Jordan Powers, NSF NCAR/MMM
1.1 |
The Weather Research and Forecasting Model: 2018 Annual Update |
Jimy Dudhia, Mesoscale and Microscale Meteorology Laboratory, NSF National Center for Atmospheric Research |
|
1.2 |
WRFDA 2018 Update |
Zhiquan Liu, Juanzhen Sun, Jamie Bresch, Mike Kavulich, Junmei Ban, Jonathan Guerrette, and Ying Zhang, NSF National Center for Atmospheric Research |
|
1.3 |
WRF-Chem V4.0: A summary of status and updates |
Ahmadov, Ravan, Georg A. Grell, Ka Yee Wong, Stuart McKeen, Megan Bela, Li Zhang, National Oceanic and Atmospheric Administration/Earth System Research Laboratory and University of Colorado/Cooperative Institute for Research in Environmental Sciences, and many other directly contributing authors, NSF NCAR, Pacific Northwest National Laboratory, and other institutes |
|
1.4 |
Hurricane WRF: 2018 operational implementation and community support |
Liu, Bin, I.M Systems Group, Inc. (IMSG Inc.) and National Oceanic and Atmospheric Administration(NOAA)/Environmental Modeling Center (EMC), Avichal Mehra, NOAA/EMC, Zhan Zhang, IMSG Inc. and NOAA/EMC, Kathryn Newman, National Center for Atmospheric Research (NCAR), Evan Kalina, NOAA/GSD and University of Colorado/Cooperative Institute for Research in Environmental Sciences (CU/CIRES), Sergio Abarca, IMSG Inc. and NOAA/EMC, Ligia Bernardet, NOAA/Global Systems Division (GSD) and CU/CIRES, Mrinal Biswas, Laurie Carson, NCAR, Jili Dong, IMSG Inc. and NOAA/EMC, James Frimel, NOAA/GSD and Colorado State University/Cooperative Institute for Research in the Atmosphere, Evelyn Grell, NOAA/Physical Science Division, and CU/CIRES, Hyun-Sook Kim, IMSG Inc. and NOAA/EMC, Qingfu Liu, NOAA/EMC, Zaizhong Ma, Jessica Meixner, Dmitry Sheinin, IMSG Inc. and NOAA/EMC, Jason Sippel, NOAA/Hurricane Research Division, Biju Thomas, University of Rhode Island, Weiguo Wang, Henry Winterbottom, Keqin Wu, Lin Zhu, IMSG Inc. and NOAA/EMC, and Vijay Tallapragada, NOAA/EMC |
|
1.5 |
The Model for Prediction Across Scales Version 6.0 Release and Future Development Directions |
Bill Skamarock and Michael Duda, MMM, NSF National Center for Atmospheric Research |
Other New Development¶
Chair: Todd Hutchinson, *The Weather Company, an IBM Business
2.1 |
New chemistry and diagnostics for the MOZART chemistry suite in WRF-Chem |
Barth, Mary, Gabriele Pfister, Stacy Walters, Louisa Emmons, National Center for Atmospheric Research (NCAR), and Gustavo Cuchiara, University of Colorado and NCAR |
|
2.2 |
Improving the numerical efficiency of storm-scale NWP models |
Wicker, Louis J., National Oceanic and Atmospheric Administration/National Severe Storms Laboratory |
|
2.3 |
Development of a multiscale modeling framework for urban simulations in the Weather Research and Forecasting model |
Wiersema, David, University of California, Berkeley (UC Berkeley), Katherine Lundquist, Lawrence Livermore National Laboratory, and Fotini Katopodes Chow, UC Berkeley |
|
2.4 |
Progress towards a regional capability in MPAS-Atmosphere |
Duda, Michael, William Skamarock, Soyoung Ha, National Center for Atmospheric Research, and and Sang-Hun Park, Yonsei University, South Korea |
|
2.5 |
Enhancing community collaborations through NWP software containers |
Kavulich, Michael J., J. H. Gotway, M. Harrold, J. K. Wolff, K. Fossell, National Center for Atmospheric Research, Research Applications Laboratory |
|
2.6 |
Developmental Testbed Center: Status update and outlook |
Nance, Louisa, National Center for Atmospheric Research (NCAR), Jeff Beck, National Oceanic and Atmospheric Administration (NOAA)/Earth System Research Laboratory (ESRL)/Global Systems Division (GSD) and Colorado State University/Cooperative Institute for Research in the Atmosphere (CSU/CIRA), Ligia Bernardet, NOAA/GSD and University of Colorado/Cooperative Institute for Research in Environmental Sciences (CU/CIRES), Grant Firl and Michelle Harrold, NCAR, Ming Hu, NOAA/GSD and CU/CIRES, Tara Jensen, NCAR, Evan Kalina, NOAA/GSD and CU/CIRES, Kathryn Newman, NCAR, Dave Turner, NOAA/GSD, Jamie Wolff and Chunhua Zhou, NCAR |
Microphysics¶
Chair: Robert Fovell, University of Albany, SUNY
3.1 |
Predicting ice particle shape evolution in a bulk microphysics scheme |
Jensen, Anders, National Center for Atmospheric Research |
|
3.2 |
Updates to the Aerosol-Aware Microphysics (Thompson-Eidhammer) scheme |
Thompson, Gregory, Trude Eidhammer, and Mei Xu, National Center for Atmospheric Research/Research Applications Laboratory |
|
3.3 |
Addressing model uncertainty through stochastic parameter perturbations with the Thompson microphysics scheme as part of a High Resolution Rapid Refresh ensemble |
Wolff, Jamie, National Center for Atmospheric Research (NCAR)/Research Application Laboratory (RAL) and Developmental Testbed Center (DTC), Greg Thompson, NCAR/RAL, Isidora Jankov, Jeffrey Beck, Colorado State University/Cooperative Institute for Research in the Atmosphere, affiliated with the National Oceanic and Atmospheric Administration/Earth System Research Laboratory and the DTC, Michelle Harrold, Michael Kavulich, Jr., and Lindsay Blank, NCAR/RAL and DTC |
|
3.4 |
Transport and entrainment of trace gases in a modeled and observed SEAC4RS case study of air mass thunderstorms |
Cuchiara, G.C., National Center for Atmospheric Research (NCAR) and University of Colorado/Institute of Arctic and Alpine Research (CU/INSTAAR), M. Barth, NCAR, A. Fried, INSTAAR, C. Homeyer, University of Oklahoma/School of Meteorology, M. Bela, National Oceanic and Atmosphere Administration, Chemical Science Division, and N. Heath, United States Air Force Technical Applications Center |
|
3.5 |
Antarctic clouds simulated by Polar WRF and AMPS |
Hines, Keith M., David H. Bromwich, and Sheng-Hung Wang, Byrd Polar and Climate Research Center, The Ohio State University |
Experimental Fire/Smoke Forecasting¶
Chair: Ravan Ahmadov, NOAA/ESRL/GSD
4.1 |
Improving prediction of aerosol and ozone formation from wildfire emissions in the western U.S. |
Bela, M. M., S. A. McKeen, R. Ahmadov, University of Colorado/Cooperative Institute for Research in Environmental Sciences (CU Boulder/CIRES) and National Oceanic and Atmospheric Administration (NOAA)/Earth System Research Laboratory (ESRL), G. Pereira, Universidade Federal de Sao Joao del-Rei, Brazil, S. R. Freitas, National Aeronautics and Space Administration (NASA)/Goddard Space Flight Center (GSFC), M. K. Trainer, NOAA/ESRL, W. M. Angevine, CIRES/CU Boulder and NOAA/ESRL, G. J. Frost, NOAA/ESRL, R. Volkamer, N. Kille, CU Boulder, A. Zelenyuk-Imre, L. Riihimaki, Pacific Northwest National Laboratory, R. B. Pierce, C. Schmidt, C. Weidinmyer, CIRES/CU Boulder, and P. E. Saide, University of California, Los Angeles |
|
4.2 |
Wildfire smoke and volcanic ash forecasting over North America with the RAP and HRRR NWP systems |
James, Eric, Ravan Ahmadov, University of Colorado/Cooperative Institute for Research in Environmental Sciences, Trevor Alcott, Georg Grell, and Curtis Alexander, National Oceanic and Atmospheric Administration/Earth System Research Laboratory/Global Systems Division |
|
4.3 |
Terrain-driven winds and gusts during the Thomas fire |
Fovell, Robert, University at Albany, SUNY |
|
4.4 |
Adding wildfire smoke in real-time WRF forecasts |
Mass, Cliff and David Ovens, University of Washington |
|
4.5 |
Wildfire pyroconvection and CAPE: buoyancy’s drying and atmospheric intensification |
Bakhshaii, Atoossa and Edward Johnson, University of Calgary, Alberta, Canada |
Software Development¶
Chair: Dave Gill, NCAR
5.1 |
GPU developments for the WRF and MPAS Models |
Adie, Jeff, Carl Ponder, and Alexey Romanenko, NVIDIA Corporation |
|
5.2 |
Improve WRF I/O performance – implementation of parallel IO |
Huang, Wei, Hewlett Packard Enterprise Co. |
|
5.3 |
Plans for a GPU-accelerated MPAS-driven forecast system |
Hutchinson, Todd, Brett Wilt, James Cipriani, John Wong, The Weather Company, an IBM Business, Rich Loft, Bill Skamarock, Michael Duda, Dave Gill, and Raghu Kumar, National Center for Atmospheric Research |
|
5.4 |
GIS4WRF - Overview of a new toolkit for pre- and post-processing in the Advanced Research WRF modelling framework |
Meyer, D., Department of Meteorology, University of Reading, Reading, UK, and M. Riechert, Microsoft Research, Cambridge, UK |
|
5.5 |
Acceleration of WRF on GPU |
Abdi, Daniel, Sam Elliott, S. M. Iman Gohari, Don Berchoff, Gene Pache and John Manobianco, TempoQuest |
|
5.6 |
Community infrastructure for facilitating improvement and testing of physical parameterizations: the Common Community Physics Package (CCPP) |
Heinzeller, Dom, Ligia Bernardet, National Oceanic and Atmospheric Administration/Earth System Research Laboratory/Global Systems Division (NOAA/ESRL/GSD), University of Colorado/Cooperative Institute for Research in Environmental Sciences (CU/CIRES), and Developmental Testbed Center (DTC), Grant Firl, Laurie Carson, Don Stark, National Center for Atmospheric Research (NCAR) and DTC, Man Zhang, NOAA/ESRL/GSD, CU/CIRES and DTC, Jimy Dudhia, and Dave Gill, NCAR |
Improving Modeled Convection¶
Chair: Songyou Hong, KIAPS, South Korea
6.1 |
Analysis of the MPAS convective-permitting physics suite in the tropics with different parameterizations of convection |
Fowler, Laura, Mary Barth, National Center for Atmospheric Research, Kiran Alapaty, United States Environmental Protection Agency, Mark Branson, and Don Dazlich, Colorado State University |
|
6.2 |
Tropical cyclones in global convection-permitting MPAS simulations |
Judt, Falko, National Center for Atmospheric Research |
|
6.3 |
Impact of the cumulus scheme on model initialization of convective storms |
Wong, May, Glen Romine, and Chris Snyder, National Center for Atmospheric Research |
|
6.4 |
The impacts of convection-permitting resolution on tropical convection and extended global prediction skill in MPAS |
Weber, Nicholas and Clifford Mass, University of Washington |
|
6.5 |
Modeling convection using the Tiedtke cumulus scheme at different grid sizes |
Wang, Wei, National Center for Atmospheric Research |
|
6.6 |
Progress in forecasting derechoes with the NCAR-WRF high-resolution ensemble |
Weisman, Morris, Craig Schwartz, and Kevin Manning, National Center for Atmospheric Research |
Poster Session¶
Model Development¶
P1 |
The statistics of WRF |
Powers, Jordan G., National Center for Atmospheric Research |
|
P2 |
Fostering community involvement in the advancement of physical parameterizations for the NCEP Unified Forecast System |
Bernardet, L., University of Colorado/Cooperative Institute for Research in Environmental Sciences (CU/CIRES) at NOAA Global Systems Division (NOAA/GSD), G. Firl, National Center for Atmospheric Research (NCAR), D. Heinzeller, CU/CIRES and NOAA/GSD, L. Carson, NCAR, M. Zhang, CU/CIRES and NOAA/GSD, M. Harrold, NCAR, J. Henderson, NOAA/GSD, J. Wolff, L. Xue, J. Dudhia, D. Stark, L. Nance, NCAR, and G. Grell, NOAA/GSD |
|
P3 |
NU-WRF development and support at NASA GSFC |
Cruz, Carlos, Science Systems and Applications, Inc., and National Aeronautics and Space Administration/Goddard Space Flight Center |
|
P4 |
Sensitivity of a Bayesian atmospheric-transport inversion model to spatio-temporal sensor resolution |
Jensen, Derek, Katherine Lundquist, and Donald Lucas, Lawrence Livermore National Laboratory |
|
P5 |
Recent developments in planetary atmospheric modeling with WRF and MPAS |
Toigo, Anthony, The Johns Hopkins University Applied Physics Laboratory, Mark Richardson, Aeolis Research (Aeolis), Chris Lee, University of Toronto, Canada, Yuan Lian, Aeolis, Michael Mischna, National Aeronautics and Space Administration/Jet Propulsion Laboratory, and Claire Newman, Aeolis |
|
P6 |
Experimentation with vertical layer structure in MPAS-A |
Bullock, Russ, Robert Gilliam, Jerold Herwehe, and Jon Pleim, United States Environmental Protection Agency |
|
P7 |
A sensitivity study of convection parameterizations in MPAS-A utilized in conjunction with USEPA physics options |
Herwehe, Jerold A., Robert C. Gilliam, O. Russell Bullock Jr., and Jonathan E. Pleim, United States Environmental Protection Agency |
|
P8 |
Exascale computing in numerical weather prediction: massively parallel I/O in atmospheric models on conformal meshes |
Heinzeller, Dom, National Oceanic and Atmospheric Administration/Earth System Research Laboratory/Global Systems Division (NOAA/ESRL/GSD), University of Colorado/Cooperative Institute for Research in Environmental Sciences (CU/CIRES), and Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research, Germany (KIT/IMK-IFU), Michael Duda, National Center for Atmospheric Research/Mesoscale and Microscale Meteorology Laboratory, Thomas Schwitalla, University of Hohenheim, Institute of Physics and Meteorology, Germany, and Harald Kunstmann, KIT/IMK-IFU and University of Augsburg, Department of Geography, Germany |
|
P9 |
Key applications of the Weather Research and Forecasting (WRF) model running on GPUs, AceCAST |
Elliot, Samuel, S. M. Iman Gohari, Daniel Abdi, Donald Birchoff, and Gene Pache, TempoQuest Inc. |
Data Assimilation¶
P10 |
MAD-WRF: A solar irradiance nowcasting system to support the Group on Earth Observations Vision for Energy (GEO-VENER) |
Jimenez, Pedro A., G. Thompson, C. Snyder, S. E. Haupt, B. Andersen, A. Anderson, J. Bresch, B. Brown, G. Descombes, B. J. Jung, and J. A. Lee, National Center for Atmospheric Research |
|
P11 |
MPAS-DART ensemble data assimilation system in polar regions |
Riedel, Christopher, and Steven Cavallo, University of Oklahoma |
|
P12 |
Testing and evaluation of the radar data assimilation for high resolution convective forecasts |
Zhou, Chunhua, Ying Zhang, National Center for Atmospheric Research/Research Applications Laboratory (NCAR/RAL), Guoqing Ge, National Oceanic and Atmospheric Administration/Earth System Research Laboratory/Global Systems Division (NOAA/ESRL/GSD), Jonathan Vigh, NCAR/RAL, Ming Hu, NOAA/ESRL/GSD |
|
P13 |
Impact of atmospheric data assimilation on the prediction of shallow and deep convective clouds near the SGP site during HI-SCALE |
Tai, Sheng-Lun, Jerome Fast, and William Gustafson, Pacific Northwest National Laboratory |
|
P14 |
A new forward operator for assimilating water-vapor mixing ratio profiles into the WRF-DA system and its impact study |
Thundathil, Rohith, Thomas Schwitalla, Andreas Behrendt, Shravan Kumar Muppa, Stephan Adam, and Volker Wulfmeyer, Institute of Physics and Meteorology, University of Hohenheim, Germany |
|
P15 |
Multiscale modeling for tactical Army nowcasting |
Dumais, Robert, Brian Reen and Huaqing Cai, United States Army Research Laboratory |
Chemistry¶
P16 |
Source attribution of tropospheric ozone in WRF-Chem using a tagging technique |
Lupascu, Aurelia, and Tim Butler, Institute for Advanced Sustainability Studies, Potsdam, Germany |
|
P17 |
Chemical characteristics and ozone production in the Northern Colorado Front Range |
Pfister, Gabriele, Mary Barth, Stacy Walters, Frank Flocke, National Center for Atmospheric Research, Atmospheric Chemistry Observations and Modeling Laboratory, William Vizuete, Chi-Tsan Wang, University of North Carolina, Department of Environmental Sciences and Engineering |
|
P18 |
Characterization of stratospheric ozone intrusion into the troposphere based on the hemispheric-scale modeling |
Itahashi, Syuichi, North Carolina State University (NCSU), and Central Research Institute of Electric Power Industry, Japan, Rohit Mathur, Christian Hogrefe, United States Environmental Protection Agency, and Yang Zhang, NCSU |
|
P19 |
Sub-kilometer mobile emissions grid and dispersion model for Medellin, Colombia |
Henao, Juan J., John F. Mejia, Department of Atmospheric Science, Desert Research Institute, Angela M. Rendon and Juan F. Salazar, Universidad de Antioquia, Colombia |
Regional Climate¶
P20 |
High-resolution future climate change simulation in Alaska using a pseudo-global warming Scenario |
Newman, Andrew J., National Center for Atmospheric Research (NCAR), Andrew J. Monaghan, University of Colorado, Martyn P. Clark, Kyoko Ikeda, Lulin Xue, NCAR, and Jeff. R. Arnold, United States Army Corps of Engineers |
|
P21 |
Sensitivity study of tropical cyclone activity for a long-term simulation using MPAS_VM with 120-23km |
Hashimoto, Atsushi, Central Research Institute of Electric Power Industry, Japan, James M. Done, Laura D. Fowler, and Cindy L. Bruyere, National Center for Atmospheric Research |
|
P22 |
The effect of drying and irrigation on the local climate with WRF-ARW model: a case of the Po Valley (Italy) |
Valmassoi, Arianna, Earth Institute, Department of Planning and Environmental Policy, University College Dublin, Richview, Dublin 14, Jimy Dudhia, National Center for Atmospheric Research, Silvana Di Sabatino, Department of Physics and Astronomy, University of Bologna, Italy, Francesco Pilla, Earth Institute, Department of Planning and Environmental Policy, University College Dublin, Richview, Dublin 14 |
|
P23 |
Future changes of precipitation, temperature and evapotranspiration for the Continental United States |
Tewari, Mukul, International Business Machines Corporation (IBM), Thomas J. Watson Research Center, Campbell D. Watson, Lloyd A. Treinish, Luke A. Winslow, and Kevin C. Rose, Rensselaer Polytechnic Institute |
|
P24 |
Initial development for simulating land surface change impacts on climate in the northern plains |
Scott, Aaron, and Aaron Kennedy, University of North Dakota |
|
P25 |
Regional climate simulations with WRF/Noah-MP: Validation and the effect of crop and groundwater modules |
Barlage, Michael, National Center for Atmospheric Research/Research Applications Laboratory/Hydrometerological Applications |
Model Evaluation¶
P26 |
Effects of the deep convection schemes in variable-resolution aquaplanet simulations using CAM-MPAS |
Jang, Jihyeon, National Center for Atmospheric Research (NCAR), Sang-Hun Park, Yonsei University, South Korea, Colin M. Zarzycki, William C. Skamarock, NCAR, and L. Ruby Leung, Pacific Northwest National Laboratory |
|
P27 |
Performance of MPAS for tropical cyclone prediction in 2016, 2017 seasons |
Wang, Wei, David Ahijevych, Chris Davis and Bill Skamarock, National Center for Atmospheric Research/Mesoscale and Microscale Meteorology Laboratory |
|
P28 |
NU-WRF-LIS coupled simulation experiments of Tropical Storm Kelvin (2018) and the Brown Ocean Effect |
Yoo, Jinwoong, Joseph Santanello, Sujay Kumar, National Aeronautics and Space Administration/Goddard Space Flight Center, and Marshall Shepherd, University of Georgia |
|
P29 |
WRF simulations of the heavy rainfall in Northern Kyushu, July 2017 |
Inaba, Naoki, Nozomu Takada, Koji Sakamoto, and Ayako Kimoto, Meteorological Engineering Center Inc., Japan |
|
P30 |
Numerical evaluation of the influence of urbanization in the convection and precipitation patterns in the metropolitan region of Sao Paulo (Brazil) |
Rangel, Rafael H O, Federal University of Rio de Janeiro, Brazil, de Souza, Carolina V. F., and Marcio Cataldi, Fluminense Federal University, Brazil |
|
P31 |
Model evaluation of high-resolution urban climate simulation: WRF ARW/LSM/SLUCM model as a case study |
Li, Zhiqiang, The Chinese University of Hong Kong, Hong Kong |
|
P32 |
Numerical investigation of a heavy snowfall event over the tropical Andes |
Zamuriano, Marcelo, Oeschger Center for Climate Change Research and Institute of Geography, University of Bern, Switzerland |
|
P33 |
Downslope wind storm study in a wind farm area on the Isthmus of Tehuantepec using WRF high-resolution simulations |
Prosper Fernandez, Miguel Angel, University of Santiago de Compostela, Spain, Ian Sosa Tinoco, Technical Institute of Sonora, Mexico, Carlos Otero Casal, and Gonzalo Miguez-Macho, University of Santiago de Compostela, Spain |
|
P34 |
Mean annual wake study for a wind farm in the province of Jiangsu (China) |
Prosper Fernandez, Miguel Angel, University of Santiago de Compostela, Spain, Liu Zhao, Xu Dong, Xinjiang, Goldwind Science & Technology Co., Carlos Otero Casal, and Gonzalo Miguez-Macho, University of Santiago de Compostela, Spain |
|
P35 |
Mesoscale impacts of wind farms: study of the wind farm scheme of the WRF-ARW model |
Ramon, Jaume, University of Barcelona (UB), Alex Montornes, Vortex, and Mireia Udina, UB |
|
P36 |
Study of the role of the Great Lakes as moisture sources in the famous November 2014 severe lake-effect snowstorm using a moisture tagging capability in WRF |
Insua-Costa, Damian and Gonzalo Miguez-Macho, Universidade de Santiago de Compostela, Spain |
|
P37 |
A case study evaluation of fog simulation using various land-surface models and micro-physics schemes |
Eder, Brian, Robert Gilliam, Donna Schwede, United States Environmental Protection Agency (U.S. EPA), Patrick Campbell, National Oceanic and Atmospheric Administration/National Research Council Fellowship Participant and U.S. EPA, and Mellissa Wrzesien, Oak Ridge Institute for Science and Education Intern, and U.S. EPA |
|
P38 |
The impact of SST on the wind and air temperature simulations: a case study for the coastal region of the Rio de Janeiro state |
Dragaud, Ian, Cunha D. Viana, Mauricio Soares da Silvaa, Alberto Luiz Coimbra, Institute of Post-Graduation and Research in Engineering (COPPE), Federal University of Rio de Janeiro (UFRJ), Brazil, Luiz Paulo F. Assadb, Department of Meteorology, Geoscience Institute (IGEO), and UFRJ, Marcio Cataldic, Department of Agriculture and Environmental Engineering, Post-Graduation in Biosystems Engineering, Fluminense Federal University, Brazil, Luiz Landaua, Renato N. Eliasa, COPPE/UFRJ, Luiz Claudio G. Pimentelb, IGEO/UFRJ, and Jimy Dudhia, Mesoscale and Microscale Meteorology Laboratory, National Center for Atmospheric Research |
|
P41 |
Using SURFRAD and CERES datasets to evaluate physics parameterizations |
Harrold, Michelle, National Center for Atmospheric Research/Research Applications Laboratory (NCAR/RAL) and Developmental Testbed Center (DTC), Man Zhang, National Oceanic and Atmospheric Administration/Earth System Research Laboratory (NOAA/ESRL), University of Colorado/Cooperative Institute for Research in Environmental Sciences (CU/CIRES), and DTC, Jamie Wolff, NCAR/RAL and DTC, Ligia Bernardet, NOAA/ESRL, CU/CIRES, and DTC, and Judy Henderson, NOAA/ESRL and DTC |
|
P42 |
Verification of FV3 forecasts using the Model Evaluation for Research Innovation Transition (MERIT) testing framework |
Hertneky, Tracy, National Center for Atmospheric Research (NCAR) and Developmental Testbed Center (DTC), Gerard Ketefian, University of Colorado/Cooperative Institute for Research in Environmental Sciences at National Oceanic and Atmospheric Administration/Earth System Research Laboratory/Global Systems Division (NOAA/ESRL/GSD), Jeff Beck, Isidora Jankov, Colorado State University/Cooperative Institute for Research in the Atmosphere at NOAA/ESRL/GSD, Jamie Wolff, Christopher Williams, Michelle Harrold, and Lindsay Blank, NCAR and DTC |
|
P43 |
Sensitivity of simulated convection-driven stratosphere-troposphere exchange in WRF-Chem to the choice of physical and chemical parameterization |
Phoenix, Daniel, Cameron Homeyer, University of Oklahoma, and Mary Barth, National Center for Atmospheric Research |
|
P44 |
Using less conventional observations to identify model physics errors in a CONUS-wide ensemble |
Gallagher, Alex, and Rob Fovell, The State University of New York, Albany |
|
P45 |
Running WRF operationally at AWS using OBSGRID |
Carpenter Jr., Richard L., Weather Decision Tech |
|
P46 |
The Model Evaluation Tools: recent advances |
Halley Gotway, J., T. L. Jensen, R. Bullock, H. Soh, and J. Prestopnik, National Center for Atmospheric Research and Developmental Testbed Center |
|
P47 |
Transparency in model testing and evaluation - Input needed for DTC workshop |
Jensen, T. L., National Center for Atmospheric Research (NCAR) and Developmental Testbed Center (DTC), L. R. Bernardet, University of Colorado/Cooperative Institute for Research in Environmental Sciences, National Oceanic and Atmospheric Administration (NOAA)/Global Systems Division, and Developmental Testbed Center (DTC), J. Levitt, NOAA/Environmental Modeling Center, I. Stajner, NOAA/Office of Science and Technology Integration, and L. Nance, NCAR and DTC |
Model Physics¶
P48 |
A mosaic approach to land cover characterization in MPAS-A |
Campbell, Patrick C., Jesse O. Bash, Jerold A. Herwehe, and Robert Gilliam, United States Environmental Protection Agency |
|
P49 |
Coupling of a detailed snow model to Noah-MP in WRF-Hydro for glacier mass balance and glacier runoff studies |
Eidhammer, Trude, Roy Rasmussen, and Dave Gochis, National Center for Atmospheric Research |
|
P50 |
Impact of satellite and model based soil moisture initial conditions on coupled NU-WRF simulations |
Santanello, Joseph, National Aeronautics and Space Administration/Goddard Space Flight Center (NASA/GSFC), Patricia Lawston, Earth System Science Interdisciplinary Center/University of Maryland, College Park (UMCP), Sujay Kumar, NASA/GSFC, and Eli Dennis, UMCP |
|
P51 |
Sensitivity of HWRF simulations to parameter variations in the Grell-Freitas convection scheme |
Grell, Evelyn, University of Colorado/Cooperative Institute for Research in Environmental Sciences (CU/CIRES) at the National Oceanic and Atmospheric Administration (NOAA)/Earth System Research Laboratory (ESRL)/Physical Science Division (PSD), and Developmental Testbed Center (DTC), Mrinal Biswas, DTC and National Center for Atmospheric Administration (NCAR), Georg Grell, NOAA/ESRL/Global Systems Division (GSD), Evan Kalina, CU/CIRES and NOAA/ESRL/GSD, Kathryn Newman, DTC and NCAR, Ligia Bernardet, CIRES, NOAA/ESRL/GSD and DTC, Laurie Carson, DTC and NCAR, and James Frimel, NOAA/ESRL/GSD, DTC, and Colorado State University/Cooperative Institute for Research in the Atmosphere |
|
P52 |
Testing of the Grell-Freitas convective scheme with HWRF |
Biswas, Mrinal K., K. Newman, Developmental Testbed Center (DTC) and National Center for Atmospheric Research (NCAR), E. Kalina, E. Grell, L. Bernardet, DTC, National Oceanic and Atmospheric Administration (NOAA)/Earth System Research Laboratory (ESRL), and University of Colorado/Cooperative Institute for Research in Environmental Sciences (CU/CIRES), J. Zhang, NOAA/Atlantic Oceanographic and Meteorological Laboratory/Hurricane Research Division, G. Grell, NOAA/ESRL, L. Carson, DTC/NCAR, and J. Frimel, NOAA/ESRL and Colorado State University/Cooperative Institute for Research in the Atmosphere |
|
P53 |
Analysis of seasonally-dependent bias in WRF PBL schemes for the southern Appalachian Mountains |
Thaxton, Chris and Quinlin Riggs, Appalachian State University |
|
P54 |
A new subgrid-scale orographic drag parameterization suite for the RAP/HRRR model |
Toy, Michael D., Joseph B. Olson, Tanya G. Smirnova, Jaymes S. Kenyon, John M. Brown, Georg A. Grell, National Oceanic and Atmospheric Administration/Earth System Research Laboratory, and University of Colorado/Cooperative Institute for Research in Environmental Sciences |
|
P55 |
Including stochastic parameter perturbations into Thompson-Eidhammer microphysics scheme |
Thompson, Gregory, Judith Berner, National Center for Atmospheric Research, Jason Otkin, Sarah Griffin, University of Wisconsin/Cooperative Institute for Meteorological Satellite Studies, and Fanyou Kong, University of Oklahoma/Center for Analysis and Prediction of Storms |
|
P56 |
Development of NTU triple-moment ice-phase microphysics scheme with consideration of particle shape and density variation |
Chen, Jen-Ping, Tzu-Chin Tsai, Department of Atmospheric Sciences, National Taiwan University |
Real-time Forecast Development & Verification¶
Chair: Cliff Mass, Department of Atmospheric Sciences, University of Washington
8.1 |
Seasonal variation of the surface wind forecast performance of the 3km-grid WRF-RTFDDA forecasting system over China |
Pan, Linlin, Yubao Liu, Gregory Roux, Yuewei Liu, Luca Delle Monache, National Center for Atmospheric Research, Ju Hu, Shuanglong Jin, and Shuanglei Feng, Chinese Electric Power Research Institute, SGCC, China |
|
8.2 |
The operational future of the Rapid-Refresh (RAP) and High-Resolution Rapid Refresh (HRRR) |
Alexander, Curtis, Steve Weygandt, Stan Benjamin, David Dowell, 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, NOAA and CIRES, John Brown, Trevor Alcott, NOAA, and Isidora Jankov, NOAA and CIRA |
|
8.3 |
Current MPAS development and forecast skill improvement for Weather Company operations |
Cipriani, James P., Brett A. Wilt, John Wong, and Todd A. Hutchinson, The Weather Company, an IBM Business |
|
8.4 |
Long-term precipitation biases and evaluation of simulated rain characteristics in the Pacific Northwest |
Conrick, Robert, and Clifford F. Mass, University of Washington |
|
8.5 |
A globally relocatable high-resolution WRF realtime forecast system for renewable energy |
Deng, Aijun, Younghun Kim, Srivats Shukla, Wander Wadman and Ali Mohammed, Utopus Insights, INC. Valhalla, NY, USA |
|
8.6 |
Why resolution matters when using WRF to drive hydrology and hydrodynamic models |
Watson, Campbell D., Guillaume Auger, James P. Cipriani, Eli M. Dow, Michael E. Henderson, Harry R. Kolar, Mukul Tewari, Lloyd A. Treinish, IBM Research, TJ Watson Research Center, Yorktown Heights, NY 8.6 Abstract |
|
8.7 |
Assessing ensemble forecast performance for select members available in the Community Leveraged Unified Ensemble (CLUE) during 2017 Hazardous Weather Testbed Spring Forecasting Experiment (HWT-SFE) |
Blank/ Lindsay, Jamie K. Wolff, Michelle Harrold, National Center for Atmospheric research and Developmental Testbed Center (DTC), and Jeff Beck, Colorado State University/Cooperative Institute for Research in the Atmosphere/Affiliated with National Oceanic and Atmospheric Administration/Earth System Research Laboratory/ Global Systems Division, and Developmental Testbed Center (DTC) |
PBL & Land Surface Physics¶
Chair: Mike Barlage, NCAR
9.1 |
Recent advances in three-dimensional turbulent mixing parameterization in the WRF model |
Jimenez, Pedro A., National Center for Atmospheric research (NCAR), Alberto Martilli, CIEMAT, Spain, and Branko Kosovic, NCAR |
|
9.2 |
The influence of boundary layer mixing on the evolution of an extratropical cyclone |
Vaughan, Matthew, and Robert Fovell, University at Albany |
|
9.3 |
Sensitivity of urban canopy and land surface models to input land cover data |
Shaffer, Stephen R., Arizona State University |
|
9.4 |
Evaluation of a gray-zone PBL scheme at sub-kilometer resolutions |
Hong, Song-You, Korea Institute of Atmospheric Prediction Systems |
|
9.5 |
Evaluation of the boundary layer temperature and moisture fields in the Hurricane Weather Research and Forecast (HWRF) system |
Kalina, Evan, University of Colorado/Cooperative Institute for Research in Environmental Sciences (CIRES) at the National Oceanic and Atmospheric Administration’s Global Systems Division (NOAA/GSD) and the Developmental Testbed Center (DTC), Mrinal Biswas, Kathryn Newman, National Center for Atmospheric Research (NCAR) and DTC, Evelyn Grell, CIRES at NOAA’s Physical Sciences Division (NOAA/PSD) and DTC, Georg Grell, NOAA/GSD, Joseph Cione, NOAA/PSD and NOAA’s Hurricane Research Division (NOAA/HRD), Kelly Ryan, University of Miami/Cooperative Institute for Marine and Atmospheric Studies (CIMAS) and NOAA/HRD, Bin Liu, NOAA’s Environmental Modeling Center (NOAA/EMC) and I.M. Systems Group, Inc. (IMSG), Zhan Zhang, NOAA/EMC, James Frimel, Colorado State University/Cooperative Institute for Research in the Atmosphere at NOAA/GSD and DTC, and Laurie Carson, NCAR and DTC |
Local to Global Modeling¶
Chair: Lou Wicker, National Severe Storms Laboratory/NOAA
10.1 |
WRF-LES episode III: the microscale awakens |
Montornes, Alex, Pau Casso, Gil Lizcano, Vortex, and Branko Kosovic, National Center for Atmospheric Research |
|
10.2 |
Sensitivity of wind turbine array downstream effects to the parameterization used in WRF |
Shepherd, Tristan J, Cornell University (CU), Patrick Volker, Technical University of Denmark (DTU), Denmark, Rebecca J Barthelmie, CU, Andrea N Hahmann, DTU, and Sara C Pryor, CU |
|
10.3 |
Forcing data at WRF lateral boundary corner and its impact on storm intensification - a case study through mid-latitude cyclone Christian |
Imberger, Marc, Xiaoli Guo Larsen, Jianting Du, and Neil Davis, Department of Wind Energy, Technical University of Denmark, Denmark |
|
10.4 |
Vertical resolution, energetics and dissipation in high-resolution atmospheric simulations |
Skamarock, Bill, Chris Snyder, Joe Klemp, National Center for Atmospheric Research, and Sang-Hun Park, Yonsei University, South Korea |
|
10.5 |
Global convection-allowing ensemble forecasts with MPAS |
Schwartz, Craig, and Ryan Sobash, National Center for Atmospheric Research |
|
10.6 |
Preparing MPAS-A for global retrospective air quality modeling: An evaluation of a 2016 simulation with comparisons to WRF |
Gilliam, Robert, Jerold Herwehe, Russell Bullock and Jonathan Pleim, United States Environmental Protection Agency |
Instructional Sessions¶
Visualizing WRF-ARW and MPAS Data Using NCL, NCL Slides
Proper Care and Feeding of your Cloud-based WRF (WRF in the Cloud), AWS WRF in the Cloud Slides
VAPOR
Building a WRF Workflow with Scala Computing (WRF in the Cloud)
Analyzing and Visualizing WRF-ARW Data Using WRF-Python and other Python Tools
Simplifying End-to-end Numerical Modeling Using Software Containers (WRF in Docker)