Duo CHAN (@duochanatharvard)
github

duochanatharvard

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  • Stars
    star
    22
  • Global Rank 603,566 (Top 21 %)
  • Followers 35
  • Following 7
  • Registered over 7 years ago
  • Most used languages
    MATLAB
         88.9 %
    Fortran
         11.1 %
  • Location πŸ‡ΊπŸ‡Έ United States
  • Country Total Rank 112,595
  • Country Ranking
    Fortran
         670
    MATLAB
         1,033

Top repositories

1

colormap_CD

Beautiful and clearly distinguishable color palettes for Matlab users.
MATLAB
8
star
2

Homogeneous_early_20th_century_warming

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
3
star
3

World-Waw-II-Warm-Anomaly

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.
MATLAB
2
star
4

Cyclone_Speed

This is a collaborative project that compute the speed of tropical cyclones by T. Amdur, A. J. Ridgen, and D. Chan at Harvard University.
MATLAB
2
star
5

CESM_BC

A script for making SST and sea ice boundary condition files for F composet in CESM (AMIP)
Fortran
2
star
6

TC-SST

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).
MATLAB
2
star
7

LME-Offsets-vs-Diurnal-Amplitudes

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.
MATLAB
1
star
8

SST_Bucket_Model

Wooden and canvas bucket models following the FP95 paper but extended to simulate hourly-resolved diurnal cycles.
MATLAB
1
star
9

Compounding_warming_and_variability_increase

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.
MATLAB
1
star