Kyle Mandli
Cited by
Cited by
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
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
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
Adaptive Mesh Refinement for Storm Surge
KT Mandli, CN Dawson
Ocean Modelling, 2014
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
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
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
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
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 (4), 683-699, 2017
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
Hybrid analog-digital solution of nonlinear partial differential equations
Y Huang, N Guo, M Seok, Y Tsividis, K Mandli, S Sethumadhavan
2017 50th Annual IEEE/ACM International Symposium on Microarchitecture …, 2017
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 (1), 317-336, 2015
CLAWPACK Software 4.3
R LeVeque, M Berger, JO Langseth, D Calhoun, S Mitran, P Blossey, ...
Manifold approximations via transported subspaces: Model reduction for transport-dominated problems
D Rim, B Peherstorfer, KT Mandli
arXiv preprint arXiv:1912.13024, 2019
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
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
Displacement interpolation using monotone rearrangement
D Rim, KT Mandli
SIAM/ASA Journal on Uncertainty Quantification 6 (4), 1503-1531, 2018
Surrogate-based parameter inference in debris flow model
M Navarro, OP Le Maître, I Hoteit, DL George, KT Mandli, OM Knio
Computational Geosciences 22 (6), 1447-1463, 2018
Clawpack Software 4.6. 1
RJ LeVeque, MJ Berger
Software Download (Feb 2011). http://www. clawpack. org, 2011
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