• Stars
    star
    5
  • Rank 2,861,937 (Top 57 %)
  • Language
    Jupyter Notebook
  • Created over 8 years ago
  • Updated over 8 years ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Python code to accompany a paper

More Repositories

1

nthmp-benchmark-problems

National Tsunami Hazard Mitigation Program Benchmark Problems ***SEE README FILE BELOW***
MATLAB
9
star
2

amath585w2020

HTML
8
star
3

geoclaw-group

GeoClaw group working repository
Python
6
star
4

coursera_demo

Demo program for high performance scientific computing course
Fortran
5
star
5

MLSJdF2021

To accompany paper submission.
HTML
5
star
6

amath574w2023

UW Course Applied Math 574, Winter Quarter 2023
HTML
4
star
7

amath584a2016

UW Applied Math 584, Autumn 2016
Jupyter Notebook
4
star
8

amath586s2019

Applied Math 586, Spring Quarter 2019
HTML
4
star
9

tohoku2011-paper1

Simulation codes and data for the paper Comparison of earthquake source models for the 2011 Tohoku-oki event using tsunami simulations and near field observations by Breanyn T MacInnes, Aditya Riadi Gusman, Randall J LeVeque, Yuichiro Tanioka. BSSA 103(2013), pp. 1256-1274.
Python
4
star
10

ptha_tutorial

Files for a workshop in probabilistic tsunami hazard assessment (PTHA)
Jupyter Notebook
4
star
11

tsunami_benchmarks

A repository for test problems used to benchmark tsunami modeling.
HTML
3
star
12

CC

Crescent City tsunami modeling
Python
3
star
13

amath586s2015

AMath 586 class materials, Spring 2015
TeX
2
star
14

amath586s2016

Jupyter Notebook
2
star
15

ptha_rog

Draft notebooks for review paper on PTHA
Jupyter Notebook
2
star
16

WA_DNR_GeoClaw

For GeoClaw work with WA state DNR
HTML
1
star
17

nz_tsunamis

Tsunami modeling for New Zealand
Python
1
star
18

pattern-method-paper

Code and data to accompany paper "The Pattern Method for Incorporating Tidal Uncertainty Into Probabilistic Tsunami Hazard Assessment (PTHA)" by L.M. Adams, R.J. LeVeque, and F.I. Gonzalez, to appear in Natural Hazards.
Python
1
star
19

test

Test repository
1
star
20

ImplicitAMR-paper

Code do accompany a paper
Python
1
star
21

tohoku2011-paper2

Code and data to accompany paper by Arcos and LeVeque, "Validating Velocities in the GeoClaw Tsunami Model using Observations Near Hawaii from the 2011 Tohoku Tsunami"
Python
1
star
22

geohack-2016

This repository contains some tools under development for dealing with geospatial data.
Jupyter Notebook
1
star