Kyle Mandli
Kyle Mandli
Columbia University, Applied Physics and Applied Mathematics
E-mail megerősítve itt: columbia.edu - Kezdőlap
Hivatkozott rá
Hivatkozott rá
The GeoClaw software for depth-averaged flows with adaptive refinement
MJ Berger, DL George, RJ LeVeque, KT Mandli
Advances in Water Resources 34 (9), 1195-1206, 2011
Clawpack: building an open source ecosystem for solving hyperbolic PDEs
KT Mandli, AJ Ahmadia, M Berger, D Calhoun, DL George, ...
PeerJ Computer Science 2, e68, 2016
PyClaw: Accessible, extensible, scalable tools for wave propagation problems
DI Ketcheson, K Mandli, AJ Ahmadia, A Alghamdi, MQ de Luna, ...
SIAM Journal on Scientific Computing 34 (4), C210-C231, 2012
Adaptive Mesh Refinement for Storm Surge
KT Mandli, CN Dawson
Ocean Modelling, 2014
Evolution and controls of large glacial lakes in the Nepal Himalaya
UK Haritashya, JS Kargel, DH Shugar, GJ Leonard, K Strattman, ...
Remote Sensing 10 (5), 798, 2018
Under the surface: Pressure-induced planetary-scale waves, volcanic lightning, and gaseous clouds caused by the submarine eruption of Hunga Tonga-Hunga Ha'apai volcano
DA Yuen, MA Scruggs, FJ Spera, Y Zheng, H Hu, SR McNutt, ...
Earthquake Research Advances 2 (3), 100134, 2022
Uncertainty quantification and inference of Manning’s friction coefficients using DART buoy data during the Tōhoku tsunami
I Sraj, KT Mandli, OM Knio, CN Dawson, I Hoteit
Ocean Modelling 83, 82-97, 2014
ForestClaw: Hybrid forest-of-octrees AMR for hyperbolic conservation laws
C Burstedde, D Calhoun, K Mandli, AR Terrel
Parallel Computing: Accelerating Computational Science and Engineering (CSE …, 2014
Manifold approximations via transported subspaces: Model reduction for transport-dominated problems
D Rim, B Peherstorfer, KT Mandli
arXiv preprint arXiv:1912.13024, 2019
A numerical method for the two layer shallow water equations with dry states
KT Mandli
Ocean Modelling 72, 80-91, 2013
Finite volume methods for the multilayer shallow water equations with applications to storm surges
KT Mandli
University of Washington, 2011
Teaching and learning with Jupyter
LA Barba, LJ Barker, DS Blank, J Brown, AB Downey, T George, ...
Recuperado: https://jupyter4edu. github. io/jupyter-edu-book, 2019
Hybrid analog-digital solution of nonlinear partial differential equations
Y Huang, N Guo, M Seok, Y Tsividis, K Mandli, S Sethumadhavan
Proceedings of the 50th Annual IEEE/ACM International Symposium on …, 2017
Bayesian inference of earthquake parameters from buoy data using a polynomial chaos-based surrogate
L Giraldi, OP Le Maître, KT Mandli, CN Dawson, I Hoteit, OM Knio
Computational Geosciences 21, 683-699, 2017
Tropical cyclone hazard to Mumbai in the recent historical climate
AH Sobel, CY Lee, SJ Camargo, KT Mandli, KA Emanuel, ...
Monthly Weather Review 147 (7), 2355-2366, 2019
PetClaw: A scalable parallel nonlinear wave propagation solver for Python
A Alghamdi, A Ahmadia, DI Ketcheson, M Knepley, K Mandli, L Dalcin
19th High Performance Computing Symposium (HPC 2011), 2011
Surrogate-based parameter inference in debris flow model
M Navarro, OP Le Maître, I Hoteit, DL George, KT Mandli, OM Knio
Comput. Geosci 22 (6), 1447-1463, 2018
Modeling and simulation of tsunami impact: a short review of recent advances and future challenges
S Marras, KT Mandli
Geosciences 11 (1), 5, 2020
Displacement interpolation using monotone rearrangement
D Rim, KT Mandli
SIAM/ASA Journal on Uncertainty Quantification 6 (4), 1503-1531, 2018
Visualizing uncertainties in a storm surge ensemble data assimilation and forecasting system
T Höllt, MU Altaf, KT Mandli, M Hadwiger, CN Dawson, I Hoteit
Natural Hazards 77, 317-336, 2015
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Cikkek 1–20