Establishing a non-hydrostatic global atmospheric modeling system at 3-km horizontal resolution with aerosol feedbacks on the Sunway supercomputer of China
During the era of global warming and highly urbanized development, extreme and high
impact weather as well as air pollution incidents influence everyday life and might even …
impact weather as well as air pollution incidents influence everyday life and might even …
High Throughput Training of Deep Surrogates from Large Ensemble Runs
Recent years have seen a surge in deep learning approaches to accelerate numerical
solvers, which provide faithful but computationally intensive simulations of the physical …
solvers, which provide faithful but computationally intensive simulations of the physical …
Melissa: coordinating large-scale ensemble runs for deep learning and sensitivity analyses
Large-scale ensemble runs typically consist of executing thousands of physical simulation
instances according to a range of different input parameters. These ensemble runs enable …
instances according to a range of different input parameters. These ensemble runs enable …
An elastic framework for ensemble-based large-scale data assimilation
S Friedemann, B Raffin - The international journal of high …, 2022 - journals.sagepub.com
Prediction of chaotic systems relies on a floating fusion of sensor data (observations) with a
numerical model to decide on a good system trajectory and to compensate non-linear …
numerical model to decide on a good system trajectory and to compensate non-linear …
[HTML][HTML] Overcoming computational challenges to realize meter-to submeter-scale resolution in cloud simulations using the super-droplet method
T Matsushima, S Nishizawa… - Geoscientific Model …, 2023 - gmd.copernicus.org
A particle-based cloud model was developed for meter-to submeter-scale-resolution
simulations of warm clouds. Simplified cloud microphysics schemes have already made …
simulations of warm clouds. Simplified cloud microphysics schemes have already made …
Continuous data assimilation of large eddy simulation by lattice Boltzmann method and local ensemble transform Kalman filter (LBM-LETKF)
Y Hasegawa, N Onodera, Y Asahi, T Ina… - Fluid Dynamics …, 2023 - iopscience.iop.org
We investigate the applicability of the data assimilation (DA) to large eddy simulations based
on the lattice Boltzmann method (LBM). We carry out the observing system simulation …
on the lattice Boltzmann method (LBM). We carry out the observing system simulation …
Rapid simulations of atmospheric data assimilation of hourly-scale phenomena with modern neural networks
Y Li, X Ju, Y Xiao, Q Jia, Y Zhou, S Qian, R Lin… - Proceedings of the …, 2023 - dl.acm.org
Atmospheric data assimilation is essential for numerical weather prediction. Ensemble data
assimilation connects multiple instances of an atmospheric model through a Kalman filter …
assimilation connects multiple instances of an atmospheric model through a Kalman filter …
Swmpas-a: scaling mpas-a to 39 million heterogeneous cores on the new generation sunway supercomputer
With the computing power of High-Performance Computing (HPC) systems having stepped
into the exascale era, more complex problems can be solved with scientific applications on a …
into the exascale era, more complex problems can be solved with scientific applications on a …
A 1024-member NICAM-LETKF experiment for the July 2020 heavy rainfall event
K Terasaki, T Miyoshi - SOLA, 2022 - jstage.jst.go.jp
This study investigated the predictability and causes of the heavy rainfall event 16 that
brought severe disasters in Kyushu in July 2020 with a global numerical weather 17 …
brought severe disasters in Kyushu in July 2020 with a global numerical weather 17 …
Emulating Rainfall–Runoff-Inundation Model Using Deep Neural Network with Dimensionality Reduction
M Momoi, S Kotsuki, R Kikuchi… - … Intelligence for the …, 2023 - journals.ametsoc.org
Predicting the spatial distribution of maximum inundation depth (depth-MAP) is important for
the mitigation of hydrological disasters induced by extreme precipitation. However, physics …
the mitigation of hydrological disasters induced by extreme precipitation. However, physics …