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Last week was tough for everyone in Seattle because of the bad air quality. Sadly, it was nothing compared to what we are going through this week. The Air Quality Index (AQI) reached well above 150 since Monday, which is roughly equal to “smoking seven cigarettes in a day.” The hazardous smoke is attributed to the surrounding massive wildfires, and the onshore winds to the rescue are expected to arrive first in the Wednesday evening.


I moved to Seattle last summer. And I’ve already experienced three times of smoke this bad. Ironically, I had this impression that Seattle is famous for its good air quality. As many articles pointing out, the wildfires in the surrounding areas are to be blamed. They also suggest that the fires seem to spread wider and last longer than ever before due to the abnormally hot and dry condition this summer.


My wife often complains about manually repeating a lot of steps for her research. With a little python skill, I would love to help. So I asked her what she’s been working on recently. One of her experiments aims to measure the change of pressure and volume of a mouse’s heart, the pressure-volume loop of heart contraction/relaxation. The data are collected through LabChart Pro, and there are options to output to different formats, including .


Recently, I’ve been trying to remove model drift from my high-resolution CCSM 20th century climate change simulation. The model drift is estimated using the two companion control runs, HRC08 and HRC09. All three runs were spun up from a similar initial condition, with CO2 held fixed in year 2000 level. Following Gupta et al., [2013]1, we tried to identify the model drift by fitting a cubic polynomial to the full record of control runs (nearly 70 years).


Testing the new features of Hugo-Academic theme…


Recent Talks

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Agulhas leakage variability and its climate implications in a coupled system
June 13, 2018 1:00 PM
Agulhas leakage variability in a coupled climate system: controls and responses
April 19, 2017 12:00 AM


Climate changes in the high-resolution 20th century simulation

We noticed that Agulhas leakage is indeed higher in the year 2000 CO2 level control runs, but no significant increasing trend in the climate change simulation. It might be due to the equilibrium timescale of westerlies to changing CO2, or an internal bias of our high-res CCSM.

Large-scale forcing dominates interannual variability of Agulhas leakage

The interannual variability of Agulhas leakage is accessed in an ocean eddy resolving coupled simulation to test the hypothesis that, on such timescales large-scale forcing dominates leakage variability, regardless of eddy structures.

Quantifying Agulhas leakage in a high-resolution coupled climate model

The senstivity of leakage estimates to the model output velocity frequency needs to be addressed before we can apply it to investigate its link to climate variability.


I am a teaching assistant for the following courses at University of Miami:

I have completed following courses:

  • MPO 503 Physical Oceanography
  • MPO 511 Geophysical Fluid Dynamics I
  • MPO 551 Intro to Atmospheric Science
  • MPO 611 Geophysical Fluid Dynamics II
  • MPO 612 Large-scale Ocean Circulation
  • MPO 665 General Circulation of Atmosphere
  • MPO 583 Special Topics in Climate study
  • MPO 668 ENSO Dynamic
  • MPO 524 Applied Data Analysis
  • MPO 675 Mesoscale Oceanography
  • MGG 676 Paleoclimatology

Course Projects:

Seminar Talks:


  • NASA Summer School on Satellite Observations and Climate Models, JPL/Caltech, 2017
  • METEOR 1002 cruise from Namibia to Mauritius, 2013
  • Community Earth System Model Tutorial, NCAR, Boulder, CO, 2013