Name: Duo CHAN
Type: User
Company: Harvard University
Bio: I am a postdoc fellow at WHOI. My research focuses on developing statistical and physical tools for reconstruct past climate and variability.
Location: 20 Oxford St., Cambridge MA 02138
Blog: https://duochanatharvard.github.io
Duo CHAN's Projects
Toolbox containing scripts for computation, maintained by Duo Chan
Toolbox containing scripts for generating figure, maintained by Duo Chan
A script for making SST and sea ice boundary condition files for F composet in CESM (AMIP)
Beautiful and clearly distinguishable color palettes for Matlab users.
Matlab scripts and key data associated with the paper "Summertime temperature variability increases with local warming in mid-latitude regions" by Duo Chan et al.
This is a collaborative project that compute the speed of tropical cyclones by T. Amdur, A. J. Ridgen, and D. Chan at Harvard University.
Homepage for Duo CHAN
Matlab and shell scripts associated with the paper "Correcting datasets leads to more homogeneous early 20th century sea surface warming" by Duo Chan, Elizabeth C. Kent, David I. Berry, and Peter Huybers.
Matlab scripts for processing and reading ICOADS3.0.0 and 3.0.1 data from .netcdf files
Matlab scripts associated with the paper "Systematic differences in bucket sea surface temperatures caused by misclassification of engine room intake measurements" by Duo Chan and Peter Huybers.
Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.
Calling MATLAB in Julia through MATLAB Engine
Super Resolution for images using deep learning.
Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave
Higher Order Spectrum Estimation toolkit
Wooden and canvas bucket models following the FP95 paper but extended to simulate hourly-resolved diurnal cycles.
Scripts for the paper "Correcting 19th and 20th-century sea surface temperatures improves simulations of Atlantic hurricane activity" by Duo Chan, Gabriel Vecchi, Wenchang Yang, and Peter Huybers. (2020).
Total Matrix Intercomparison MATLAB
Matlab and shell scripts associated with the paper "Correcting Observational Biases in Sea-Surface Temperature Observations Removes Anomalous Warmth during World War II" by Duo Chan and Peter Huybers.