Atmospheric Blocking Prediction from the Traffic Jam Theory
Defining an ‘exceedance’ event as a harbinger of atmospheric blockings. 
Posts by Collection
portfolio
Multi-Solitary (Tsunami) Wave
Numerical analyses on multi-solitary wave run-ups.
Computer Vision on High-Voltage Energized Equipment
Using SAM and yolov8 to identify high-voltage energized equipment and automatically detect defections with machine-generated solutions.
Computer Vision on Vehicular Flux-Density Relationship Regression
Using yolov8 to calculate vehicle density and speed to optimize highway carriage.
A Published Essay on the Commercial Press of China
Once upon a time, I almost became a historian.
publications
Paper Title Number 2
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2).
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Paper Title Number 3
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3).
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Paper Title Number 4
Published in GitHub Journal of Bugs, 2024
This paper is about fixing template issue #693.
Recommended citation: Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).
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Numerical Analysis on Run-Up of Multi-Solitary Waves on A Planar Slope
Published in ISOPE International Ocean and Polar Engineering Conference, 2024
Numerical simulations of multi-solitary wave run-ups over a planar slope. Scheme: FUNWAVE-TVD. Results compared with lab results.
Recommended citation: Yan, Xingjian, Xu, Yiyang, and Liu, Hua. "Numerical Analysis on Run-up of Multi-Solitary Waves on a Planar Slope." Paper presented at the The 34th International Ocean and Polar Engineering Conference, Rhodes, Greece, June 2024.
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Traffic Bottlenecks: Predicting Atmospheric Blocking with a Diminishing Flow Capacity
Published in Geophysical Research Letters, 2024
Using NH18 to define LWA flux exceedance events, this paper explores predictors of blocking onset in the traffic jam theory. A downstream reduction in flow capacity is common for both exceedance and blocking events, similar to how lane closures favor traffic jams. Blocks are co-located with exceedance events in space but not in time, limiting the predictive utility of the traffic jam theory.
Recommended citation: Yan, X., Wang, L., Gerber, E. P., Castañeda, V., & Ho, K. Y. (2024). Traffic bottlenecks: Predicting atmospheric blocking with a diminishing flow capacity. Geophysical Research Letters, 51, e2024GL111035. https://doi.org/10.1029/2024GL111035
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talks
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
A Data-Driven Examination on the Traffic Model Analogy for Blocking Statistics
Published:
You can find the eLightning poster here.
Predicting Atmospheric Blocking with the Traffic Jam Mechanism: The Role of Merging
Published:
You can find the poster here.
Numerical Analysis on Run-Up of Multi-Solitary Waves on A Planar Slope
Published:
You can find the slides here.
Summer and Winter Extratropical Storm Track Changes in both ERA5 Reanalysis (Past Changes) and CMIP6 SSP5-8.5 Experiment (Future Projection) - a Simple Eulerian Approach
Published:
A final project for MIT Course 12.842. You can find the poster here. You can also find the paper write up here.
teaching
NYU Math Course Notes
Math course notes, NYU Courant, 2021
These are my handwritten notes in OneNote format. Note that there may be Mandarin or French symbols. Click on the course name to open the notebook.
Journal Paper Notes
Journal Paper notes, MIT EAPS, 2024
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MIT EAPS Course Notes
EAPS course notes, MIT EAPS, 2024
These are my handwritten notes in OneNote format. Note that there may be Mandarin symbols. Click on the course name to open the notebook. Some of them had accessibility issues due to OneNote school account reasons; feel free to email me for a copy of such notes.
Machine Learning on Dynamical Systems
EAPS course notes, MIT EAPS, 2025
I’ve started taking an off-cycle course 12.S592 on machine learning taught by Sai Ravela, with a focus on (non-Gaussian) dynamical systems. My desired final project is on extratropical cyclone downscaling, using a reduced stochastic model. Here are some PSet notes and schematic solutions, because they are very interesting problems to think about.