2907's Projects
ANPA, Python SummerSchool 2019
Matplotlib styles for scientific plotting
Lectures on scientific computing with python, as IPython notebooks.
An open access book on scientific visualization using python and matplotlib
Statistical climate downscaling in Python
Tutorial material on the scientific Python ecosystem
SciPy 2013 Data Processing Tutorial
Materials for Scipy 2021
These are the scripts for the paper: Burgard, C., Notz, D., Pedersen, L. T., and Tonboe, R. T.: The Arctic Ocean Observation Operator for 6.9 GHz (ARC3O) – Part 1: How to obtain sea ice brightness temperatures at 6.9 GHz from climate model output, The Cryosphere, 14, 2369–2386, https://doi.org/10.5194/tc-14-2369-2020, 2020.
These are the scripts for the paper: Burgard, C., Notz, D., Pedersen, L. T., and Tonboe, R. T.: The Arctic Ocean Observation Operator for 6.9 GHz (ARC3O) – Part 2: Development and evaluation, The Cryosphere, 14, 2387–2407, https://doi.org/10.5194/tc-14-2387-2020, 2020.
These are the scripts used in the GRL paper "Drivers of Arctic Ocean warming in CMIP5 models": https://doi.org/10.1002/2016GL072342
Numerical simulation of the Kuroshio intrusion into the South China Sea by a passive tracer
SCycle simulates sequences of earthquake cycles on the timescale of hundreds to thousands of years, with a focus on the interaction between short-term and long-term deformation.
PyTorch implementation for SDEdit: Image Synthesis and Editing with Stochastic Differential Equations
Statistical data visualization in Python
Orthogonal curvilinear grid creator for Matlab
Assessing the influence of the QBO in Arctic sea ice perturbation experiments
Materials from the South East Asia Machine Learning School 2019 event
Robustly estimate trend and periodicity in a timeseries.
Deep learning framework for optical granulometry (estimation of sedimentological variables from sediment imagery)
the resources I use to learn computer science in my spare time
ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"
Notes for the weekly seminar on deep learning for climate modeling
Paper repository: "Scale-dependent analysis of in situ observations in the mesoscale to submesoscale range around New Caledonia"
收集校招污点公司或组织,帮助学弟学妹避雷。互联网不曾遗忘!
Shared notebooks and data explorations.
Sounding/Hodograph Analysis and Research Program in Python
Shell 简易教程