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Storm-scale convection-allowing models (CAMs) are an important tool for predicting the evolution of thunderstorms and mesoscale convective systems that result in damaging extreme weather.
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Adrian M Tompkins · 2001
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Morris L Weisman, Christopher Davis, Wei Wang, Kevin W Manning, and Joseph B Klemp · 2008
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Nigel M Roberts and Humphrey W Lean · 2008
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Mitchell W Moncrieff · 2010
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An improved sobel edge detection
Wenshuo Gao, Xiaoguang Zhang, Lei Yang, and Huizhong Liu · 2010
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Paul Markowski and Yvette Richardson · 2011
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Convective modes for significant severe thunderstorms in the contiguous united states. part i: Storm classification and climatology
Bryan T Smith, Richard L Thompson, Jeremy S Grams, Chris Broyles, and Harold E Brooks · 2012
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On the filtering properties of ensemble averaging for Storm-Scale precipitation forecasts
Madalina Surcel, Isztar Zawadzki, and M K Yau · 2014
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Characterizing and optimizing precipitation forecasts from a convection-permitting ensemble initialized by a mesoscale ensemble kalman filter
Craig S Schwartz, Glen S Romine, Kathryn R Smith, and Morris L Weisman · 2014
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An improved canny edge detection algorithm
Weibin Rong, Zhanjing Li, Wei Zhang, and Lining Sun · 2014
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The quiet revolution of numerical weather prediction
Peter Bauer, Alan Thorpe, and Gilbert Brunet · 2015
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Balanced dynamics and convection in the tropical troposphere
David Raymond, Željka Fuchs, Saška Gjorgjievska, and Sharon Sessions · 2015
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A study on the scale dependence of the predictability of precipitation patterns
Madalina Surcel, Isztar Zawadzki, and M K Yau · 2015
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Deep unsupervised learning using nonequilibrium thermodynamics
Jascha Sohl-Dickstein, Eric Weiss, Niru Maheswaranathan, and Surya Ganguli · 2015
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High ice water content at low radar reflectivity near deep convection–part 1: Consistency of in situ and remote-sensing observations with stratiform rain column simulations
AM Fridlind, AS Ackerman, A Grandin, F Dezitter, M Weber, JW Strapp, AV Korolev, and CR Williams · 2015
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Mechanisms of convective cloud organization by cold pools over tropical warm ocean during the amie/dynamo field campaign
Zhe Feng, Samson Hagos, Angela K Rowe, Casey D Burleyson, Matus N Martini, and Simon P de Szoeke · 2015
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Jaideep Pathak, Shashank Subramanian, Peter Harrington, Sanjeev Raja, Ashesh Chattopadhyay, Morteza Mardani, Thorsten Kurth, David Hall, Zongyi Li, Kamyar Azizzadenesheli, et al · 2022
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Deep learning for twelve hour precipitation forecasts
Lasse Espeholt, Shreya Agrawal, Casper Sønderby, Manoj Kumar, Jonathan Heek, Carla Bromberg, Cenk Gazen, Rob Carver, Marcin Andrychowicz, Jason Hickey, et al · 2022
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Elucidating the design space of diffusion-based generative models
Tero Karras, Miika Aittala, Timo Aila, and Samuli Laine · 2022
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Elucidating the design space of diffusion-based generative models
Tero Karras, Miika Aittala, Timo Aila, and Samuli Laine · 2022
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Spherical fourier neural operators: Learning stable dynamics on the sphere
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Multi-radar multi-sensor (mrms) quantitative precipitation estimation: Initial operating capabilities
Jian Zhang, Kenneth Howard, Carrie Langston, Brian Kaney, Youcun Qi, Lin Tang, Heather Grams, Yadong Wang, Stephen Cocks, Steven Martinaitis, et al · 2016
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Generation of ensemble mean precipitation forecasts from convection-allowing ensembles
Adam J Clark · 2017
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Role of convective mixing and evaporative cooling in shallow convection
Seung-Bu Park, Thijs Heus, and Pierre Gentine · 2017
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Limited-area atmospheric modeling using an unstructured mesh
William C Skamarock, Michael G Duda, Soyoung Ha, and Sang-Hun Park · 2018
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Reflecting on the goal and baseline for exascale computing: a roadmap based on weather and climate simulations
Thomas C Schulthess, Peter Bauer, Nils Wedi, Oliver Fuhrer, Torsten Hoefler, and Christoph Schär · 2018
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Survey of data assimilation methods for convective-scale numerical weather prediction at operational centres
Nils Gustafsson, Tijana Janjić, Christoph Schraff, Daniel Leuenberger, Martin Weissmann, Hendrik Reich, Pierre Brousseau, Thibaut Montmerle, Eric Wattrelot, Antonín Bučánek, et al · 2018
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Improving afternoon thunderstorm prediction over taiwan through 3dvar-based radar and surface data assimilation
I-Han Chen, Jing-Shan Hong, Ya-Ting Tsai, and Chin-Tzu Fong · 2020
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Boris Bonev, Thorsten Kurth, Christian Hundt, Jaideep Pathak, Maximilian Baust, Karthik Kashinath, and Anima Anandkumar · 2023
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Learning skillful medium-range global weather forecasting
Remi Lam, Alvaro Sanchez-Gonzalez, Matthew Willson, Peter Wirnsberger, Meire Fortunato, Ferran Alet, Suman Ravuri, Timo Ewalds, Zach Eaton-Rosen, Weihua Hu, Alexander Merose, Stephan Hoyer, George Holland, Oriol Vinyals, Jacklynn Stott, Alexander Pritzel, Shakir Mohamed, and Peter Battaglia · 2023
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Gencast: Diffusion-based ensemble forecasting for medium-range weather
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Graph-based neural weather prediction for limited area modeling
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Jussi Leinonen, Ulrich Hamann, Daniele Nerini, Urs Germann, and Gabriele Franch · 2023
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Deep learning for day forecasts from sparse observations
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Conus404: The ncar–usgs 4-km long-term regional hydroclimate reanalysis over the conus
RM Rasmussen, Fei Chen, CH Liu, Kyoko Ikeda, A Prein, J Kim, T Schneider, A Dai, D Gochis, A Dugger, et al · 2023
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U.s. billion-dollar weather and climate disasters, 2024
NOAA National Centers for Environmental Information (NCEI) · 2024
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Aifs-ecmwf’s data-driven forecasting system
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Ankur Mahesh, William Collins, Boris Bonev, Noah Brenowitz, Yair Cohen, Joshua Elms, Peter Harrington, Karthik Kashinath, Thorsten Kurth, Joshua North, Travis OBrien, Michael Pritchard, David Pruitt, Mark Risser, Shashank Subramanian, and Jared Willard · 2024
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Residual diffusion modeling for km-scale atmospheric downscaling
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Hwt 2024: Mpas ensemble forecasting at ncar, https://www2.mmm.ucar.edu/projects/ncar_ensemble/hwt2024_mpasens/about.php , 2024
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Evaluation of real-time, medium-range, convection-allowing ensemble forecasts produced for noaa’s 2023 hazardous weather testbed spring forecasting experiment
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How variable are cold pools?
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Generative data assimilation of sparse weather station observations at kilometer scales
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