Chen Nuo (陈诺)

I am a postdoctoral researcher at Shanghai Typhoon Institute (in collaboration with Fudan University). My current research explores the alignment process of weak tropical cyclone under moderate vertical wind shear with dropsonde and radar observations. My research interest also expands into balance dynamics and data assimilation.

GitHub ✉Email
Chen Nuo

Research Interests

Arctic Cyclones Data Assimilation (DART) Potential Vorticity (PV) Dynamics Numerical Modeling (CESM2 / WRF) Machine Learning NWP Tropical Cyclones & Boundary Layer Adjoint Sensitivity

Featured Research

1

Summertime Arctic Cyclone & Sea Ice Coupling

Assessing the physical interactions and feedbacks between Tropopause Polar Vortices (TPVs), Arctic Cyclones (ACs), and sea ice cover using fully coupled Community Earth System Model version 2 (CESM2) simulations.

CESM2 Arctic Cyclones TPV Sea Ice Coupling
2

Pangu-DART Interface for Data Assimilation

Developing an interface between machine learning numerical weather prediction models (Pangu-Weather) and NCAR's Data Assimilation Research Testbed (DART) to successfully ingest atmospheric observations into ML-based forecast ensembles.

Data Assimilation DART Pangu-Weather Machine Learning
3

Balanced Adjoint PV Sensitivity

Formulating geostrophically balanced initial sensitivities to temperature and wind fields using Quasi-Geostrophic Potential Vorticity (QGPV), which filters out unphysical gravity waves in the WRF adjoint model.

Adjoint Sensitivity QGPV WRF Adjoint Gravity Waves

Highlighted Publications

Monthly Weather Review · 2026

Adjoint-Based Forecast Sensitivity to Quasigeostrophic Potential Vorticity

Morgan, M. C., & Chen, N., & Goldstein, A., & Hoover, B. T.

[Journal Link] [DOI]

Atmospheric Research · 2021

On the distribution of helicity in the tropical cyclone boundary layer from dropsonde composites

Chen, N., & Tang, J.

[Journal Link] [DOI]