Ying Pan

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Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

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Dive into the research topics where Ying Pan is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

1 Similar Profiles

1 Finished
2 Active

Collaborative Research: Improving Our Understanding of Supercells from Convection Initiation to Tornadogenesis via Innovative Observations, Simulations, and Analysis Techniques
Markowski, P., Richardson, Y. P. & Pan, Y.
National Science Foundation
4/1/22 → 3/31/25
Project: Research project
Improving Understanding of Non-Equilibrium Surface-Layer Stress-Strain-Rate Relationships Using a Novel Stationarity-Analysis Technique and Large-Eddy Simulation
Pan, Y.
National Science Foundation
9/1/21 → 8/31/24
Project: Research project
Improving our understanding of vorticity development in supercells through novel thermodynamic observations and an improved treatment of the near-surface layer in simulations
Markowski, P., Richardson, Y. P. & Pan, Y.
National Science Foundation
9/1/18 → 8/31/23
Project: Research project

18 Article

Environmental conditions associated with horizontal convective rolls, cellular convection, and no organized circulations
SANTELLANES, SEAN. R., YOUNG, GEORGE. S., STENSRUD, DAVID. J., KUMJIAN, MATTHEW. R. & PAN, YING., May 2021, In: Monthly Weather Review. 149, 5, p. 1305-1316 12 p.
Research output: Contribution to journal › Article › peer-review

Open Access
6 Scopus citations
The influence of WENO schemes on large-eddy simulations of a neutral atmospheric boundary layer
Wang, A., Pan, Y. & Markowski, P. M., Nov 2021, In: Journal of the Atmospheric Sciences. 78, 12, p. 3613-3628 16 p.
Research output: Contribution to journal › Article › peer-review
2 Scopus citations
Determining stationary periods across multiple sensors: An application to observed canopy turbulence response to atmospheric stability
Pan, Y. & Patton, E. G., Apr 2020, In: Journal of Atmospheric and Oceanic Technology. 37, 4, p. 665-685 21 p.
Research output: Contribution to journal › Article › peer-review
The influence of turbulence memory on idealized tornado simulations
Wang, A., Pan, Y. & Markowski, P. M., Dec 2020, In: Monthly Weather Review. 148, 12, p. 4875-4892 18 p.
Research output: Contribution to journal › Article › peer-review
5 Scopus citations
On determining stationary periods within time series
Pan, Y. & Patton, E. G., Oct 1 2017, In: Journal of Atmospheric and Oceanic Technology. 34, 10, p. 2213-2232 20 p.
Research output: Contribution to journal › Article › peer-review
8 Scopus citations

Ying Pan

Personal profile

Expertise related to UN Sustainable Development Goals

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

Collaborative Research: Improving Our Understanding of Supercells from Convection Initiation to Tornadogenesis via Innovative Observations, Simulations, and Analysis Techniques

Improving Understanding of Non-Equilibrium Surface-Layer Stress-Strain-Rate Relationships Using a Novel Stationarity-Analysis Technique and Large-Eddy Simulation

Improving our understanding of vorticity development in supercells through novel thermodynamic observations and an improved treatment of the near-surface layer in simulations

Environmental conditions associated with horizontal convective rolls, cellular convection, and no organized circulations

The influence of WENO schemes on large-eddy simulations of a neutral atmospheric boundary layer

Determining stationary periods across multiple sensors: An application to observed canopy turbulence response to atmospheric stability

The influence of turbulence memory on idealized tornado simulations

On determining stationary periods within time series

Ying Pan

Personal profile

Expertise related to UN Sustainable Development Goals

Fingerprint

Collaborations and top research areas from the last five years

Projects

Research output