SY008
Community Modeling and Open Innovation to Advance Earth Prediction Systems

Session ID#: 162286

Session Description:
Provide an opportunity for the broad research community to share information about their latest developments and how these innovations are advancing the capabilities of community modeling systems. Topics in this session will include discussions on the motivation and process by which the community can work together to explore, validate, and integrate all aspects important to advancing weather and climate prediction. Open innovation spans everything from observation impact, model code, and software engineering to experimental design and computing architectures, post-processing, ensemble design, including model uncertainty.
Co-Organized:
  • A - Atmospheric Sciences
  • GC - Global Environmental Change
  • NH - Natural Hazards
  • OS - Ocean Sciences
Co-Sponsor(s):
  • AMS: American Meteorological Society -
  • EGU: European Geosciences Union -
  • WCRP: World Climate Research Programme -
Index Terms:

1622 Earth system modeling [GLOBAL CHANGE]
1902 Community modeling frameworks [INFORMATICS]
1922 Forecasting [INFORMATICS]

Primary Convener:  Jose-Henrique Alves, NOAA Office of Oceanic and Atmospheric Research, EPIC Program, Weather Program Office, Silver Spring, MD, United States
Conveners:  Neil Jacobs, University Corporation for Atmospheric Research, Boulder, United States, Louisa B Nance, NCAR, RAL, Boulder, United States and Hendrik L Tolman, NOAA/NCEP, College Park, MD, United States
 
Landfalling Event Atmospheric River Neural Network (LEARN2): an Open Science Machine Learning Numerical Weather Prediction Post-Processing Tool for Advancing Weather and Climate Prediction (1050031)
Philip Ardanuy1, Sibren Isaacman2, Darin Mister3, Ethan Carton3 and Brad Colman4, (1)INNOVIM, Silver Spring, United States, (2)Loyola University Maryland, Baltimore, United States, (3)INNOVIM, Greenbelt, United States, (4)Organization Not Listed, Washington, United States
 
CICE Consortium: Advancing Sea Ice Modeling (Invited) (1061960)
Elizabeth Clare Hunke, Los Alamos National Laboratory, Los Alamos, United States and The CICE Consortium Team
 
Spurious Forces Can Dominate the Vorticity Budget of Ocean Gyres on the C-Grid (1071779)
Andrew Styles1, Mike Bell2, David Philip Marshall1 and David Storkey2, (1)University of Oxford, Oxford, United Kingdom, (2)Met Office, Exeter, United Kingdom
 
Community Outage Prediction Modeling Framework for Current and Future Climate Storm Events (1098323)
William Taylor1, Diego Cerrai2, Marika Koukoula1, Feifei Yang1 and Emmanouil N Anagnostou3, (1)University of Connecticut, Civil and Environmental Engineering, Groton, CT, United States, (2)University of Connecticut, Department of Civil and Environmental Engineering, Groton, CT, United States, (3)Professor, Civil and Environmental Engineering, Storrs, United States
 
Implementation Of The Novel Duo-Grid Within The GFDL FV3 Dynamical Core (1107761)
Joseph Mouallem, Princeton University, Princeton, United States and Lucas Harris, Geophysical Fluid Dynamics Laboratory, NOAA, Princeton, United States
 
The modeling system for Maryland Coastal Bays and adjacent coastal ocean (1109677)
Meng Xia, University of Maryland Eastern Shore, Princess Anne, MD, United States
 
Interactions between Physical Forcing and Phytoplankton Dynamics in a Shallow Lagoon System (1126463)
Haoran Liu, University of Maryland Eastern Shore, Princess Anne, MD, United States and Meng Xia, Univ of MD, Eastern Shore, Princess Anne, MD, United States
 
Coupled Modeling of Storm Surge and Fluvial Flooding of the Maryland Coastal Bays (1126609)
Nishat Farzana F Nimni, University of Maryland Eastern Shore, Department of Natural Sciences, Princess Anne, MD, United States and Meng Xia, Univ of MD, Eastern Shore, Princess Anne, MD, United States
 
Demonstration of Hierarchical System Development to Inform Model Physics Development: An Example from An ARM SGP Case on June 11 2016 (1128191)
Weiwei Li1,2, Daniel Frank D'Amico3, Ligia Bernardet2,4, Lulin Xue1,2, Jimy Dudhia2,5, Hyeyum Hailey Shin1, Grant Firl2,4, Judy Henderson2,4, Michelle Harrold1,6, Louisa B Nance1,2 and Michael B Ek1,2, (1)NCAR, RAL, Boulder, United States, (2)Developmental Testbed Center (DTC), Boulder, United States, (3)Previously with NCAR, RAL and Developmental Testbed Center (DTC), Boulder, United States, (4)NOAA, OAR/GSL, Boulder, United States, (5)NCAR, MMM, Boulder, United States, (6)Developmental Testbed Center, Boulder, United States
 
Development of a WRF Cloud Framework: Facilitating Access to a State-of-the-Art Forecasting System to Under-Resourced Communities through Cloud-Based Technologies (1152508)
Paul A Kucera, University Corporation for Atmospheric Research, COMET, Boulder, CO, United States, Michelle Harrold, NCAR, RAL, Boulder, United States, David Hahn, National Center for Atmospheric Research, Research Applications Laboratory, Boulder, CO, United States, Kathryn Fossell, NCAR/MMM, Boulder, CO, United States, Michael Kavulich Jr, NCAR, Boulder, United States and John Halley-Gotway, National Center for Atmospheric Research, Developmental Testbed Center, Boulder, CO, United States
 
How domain-specific languages in Python can bridge the software productivity gap in weather and climate science: Demonstration with the SHiELD Atmospheric Model (1165608)
Elynn Wu1, Johann Dahm1, Florian Deconinck1, Oliver Elbert1, Jeremy McGibbon1, Tobias Wicky1, Lucas Harris2, Rusty Benson3 and Oliver Fuhrer1,4, (1)Allen Institute for Artificial Intelligence, Seattle, United States, (2)Geophysical Fluid Dynamics Laboratory, NOAA, Princeton, United States, (3)Geophysical Fluid Dynamics Laboratory, Princeton, NJ, United States, (4)MeteoSwiss Federal Office of Meteorology and Climatology, Zurich, Switzerland
 
Exploring the Potential of a Variational-Particle Filter for Data Assimilation and Ensemble Prediction within Unified Forecast System Applications (1170660)
Jonathan Poterjoy and Kenta Kurosawa, University of Maryland College Park, College Park, MD, United States
 
A WENO-based Vector Invariant advection scheme for Implicit Ocean LES (1174935)
Simone Silvestri, Gregory Wagner, Andre Souza, Christopher N Hill, Jean-Michel Campin and Raffaele M Ferrari, Massachusetts Institute of Technology, Cambridge, United States
 
Open Innovation Invites Multidisciplinary Expertise to Address Air Quality Challenges and Inform Future NASA Missions (1175374)
Shobhana Gupta, NASA Headquarters, Washington, United States, Aaron Naeger, University of Alabama in Huntsville, Huntsville, AL, United States, Abigail Nastan, Jet Propulsion Laboratory, Pasadena, United States and "NASA Center of Excellence for Collaborative Innovation Team", "Driven Data and HeroX Crowdsourcing Platforms Teams"
 
Supporting and Growing a Coastal Ocean Modeling Community of Practice Dedicated to Research and Operations (Invited) (1178190)
Derrick P Snowden, Integrated Ocean Observing System, Silver Spring, MD, United States, Tracy Fanara, Integrated Ocean Observing System, Silver Spring, United States, Patrick Burke, NOAA/NOS/CO-OPS, Silver Spring, MD, United States and Shachak Pe'eri, NOAA, Office of Coast Survey, Silver Spring, United States
 
Do Nudging Tendencies Depend on the Nudging Timescale Chosen in Atmospheric Models? (1178207)
Christopher Gary Kruse, NorthWest Research Associates Boulder, Boulder, CO, United States, Julio T Bacmeister, AMP/CGD, Boulder, CO, United States, Colin M. Zarzycki, Penn State University, Meteorology and Atmospheric Science, State College, United States, Vincent E Larson, University of Wisconsin-Milwaukee, Milwaukee, WI, United States and Katherine Thayer-Calder, National Center for Atmospheric Research, Boulder, CO, United States
 
Optimizing Surface Water Representation for Lakes in the Unified Forecast System (UFS) (1182964)
Andrew Gronewold, University of Michigan Ann Arbor, School for Environment and Sustainability, Ann Arbor, MI, United States, David N Yates, National Center for Atmospheric Research, Research Applications Laboratory, Boulder, United States, Tatiana G Smirnova, University of Colorado Boulder, CIRES, Boulder, CO, United States, Eric J Anderson, Great Lakes Environmental Research Laboratory (GLERL), National Oceanic and Atmospheric Administration (NOAA), Ann Arbor, United States, Philip Chu, NOAA, Great Lakes Environmental Research Laboratory, Ann Arbor, MI, United States, Stan Benjamin, NOAA Global Systems Laboratory, Boulder, CO, United States, John G.W. Kelley, NOAA/National Ocean Service/Coast Survey Development Lab, Durham, NH, United States, Michael Barlarge, NOAA, Boulder, United States, Bahram Khazaei, National Center for Atmospheric Research, Research Applications Laboratory, Boulder, CO, United States, James Andrew Kessler, NOAA Great Lakes Environmental Research Lab, Ann Arbor, United States, Eamon Espey, University of Michigan Ann Arbor, Ann Arbor, United States, Hilarie Lauren Sorensen, University of Oregon, Eugene, OR, United States, Troy Sorensen, University of Michigan Ann Arbor, Ann Arbor, MI, United States and Eric James, CU/CIRES and NOAA/GSL, Boulder, CO, United States
 
Improving Earth System Model Development via Hierarchical System Development and the Common Community Physics Package (1183311)
Michael B Ek1,2, Ligia Bernardet2,3, Grant Firl2,3, Dom Heinzeller4, Michael Kavulich Jr5, Weiwei Li2,6, Louisa B Nance2,6, Dustin Swales1, Lulin Xue1,2 and Man Zhang2,7, (1)National Center for Atmospheric Research, Boulder, United States, (2)Developmental Testbed Center (DTC), Boulder, United States, (3)NOAA, OAR/GSL, Boulder, United States, (4)Joint Center for Satellite Data Assimilation (JCSDA), Boulder, United States, (5)NCAR, Boulder, United States, (6)NCAR, RAL, Boulder, United States, (7)NOAA, Global Systems Laboratory, University of Colorado/CIRES, Boulder, United States
 
Hierarchical Testing for Improvement of Stochastic and Deterministic Physical Parameterizations (1199417)
Kathryn Newman1, Xia Sun2, Ligia Bernardet3, Hannah Mary Christensen4, Judith Berner1, Lisa K Bengtsson5 and Michael B Ek6, (1)National Center for Atmospheric Research, Boulder, CO, United States, (2)U. Colorado Cooperative Institute for Research in Environmental Sciences, NOAA Global Systems Laboratory, Developmental Testbed Center, Boulder, United States, (3)NOAA, OAR/GSL, Boulder, United States, (4)University of Oxford, Atmospheric, Oceanic and Planetary Physics, Oxford, United Kingdom, (5)University of Colorado/CIRES and NOAA Physical Sciences Laboratory, Boulder, CO, United States, (6)NCAR, RAL, Boulder, United States
 
Probability Distribution of the Wind-Wave Characteristics: Collocation Analysis of VOS and ERA5-based Hindcast. (1202369)
Vitali Dmitrievich Sharmar Sr1, Sergey Gulev2 and Vika Grigorieva1, (1)Shirshov Institute of Oceanology, Moscow, Russia, (2)Shirshov Institute of Oceanology, Russian Academy of Sciences, Moscow, Russia
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