About

Dan Fu is an Assistant Professor at Texas A&M University College of Arts and Sciences in the Department of Atmospheric Sciences. His research focuses on atmospheric dynamics and numerical modeling at the interface of weather and climate. He investigates how modes of climate variability and climate change influence the variability and predictability of high-impact extreme weather and climate events, such as tropical cyclones, atmospheric rivers, heatwaves, and severe droughts. His work aims to improve seasonal-to-decadal predictions and future projections of these extreme events by understanding their physical drivers and employing high-resolution weather and climate simulations, as well as machine learning data-driven approaches. Dan Fu holds a Ph.D. from Texas A&M University (2018) and a B.S. from Ocean University of China (2013). His contributions include advancing the understanding of tropical cyclone dynamics, temperature and hydrological extremes, and the application of deep learning and AI in atmospheric sciences. He is actively involved in research utilizing high-resolution Earth system modeling, such as the Community Earth System Model (CESM-HR), and has published extensively on topics related to climate extremes and their physical mechanisms.

Research topics

• Geography
• Climatology
• Oceanography
• Geology
• Environmental science
• Meteorology
• Atmospheric sciences

Selected publications

• Project Management-Driven Multimodal Collection and Personalized Education of College Learning Psychology

  Journal of Education and Culture Studies · 2026-04-07

  articleOpen access

  In view of the problems of fragmented collection of college learning psychology and homogenized educational interventions, this paper introduces project management theory and builds a multi-modal data collection and personalized education system driven by the whole process of "planning-execution-monitoring-closure". The system integrates the three-dimensional data collection mode of behavioral data, physiological signals and subjective feedback, and relies on the progress control, resource allocation and risk warning mechanism of project management to realize the accurate collection and effective analysis of learning psychological data, as well as the efficient implementation of personalized education programs. Based on the teaching practice of colleges, this paper elaborates on the system construction path and implementation strategy, providing theoretical support and practical reference for improving the quality of mental health education and talent cultivation in colleges.

  PublisherOA PDFDOI

• Derived mesoscale convective system snapshots and analysis data for Fu and Prein (2026, GRL)

  Zenodo (CERN European Organization for Nuclear Research) · 2026-05-17

  datasetOpen access1st authorCorresponding

  This dataset contains six compressed tar.gz archives of detected mesoscale convective system (MCS) snapshots over the contiguous United States (CONUS) derived from multiple observational, reanalysis, regional climate model, and global climate model datasets. The included datasets are: GPM-IMERGv07 ERA5 reanalysis NOAA AORC WRF-based CONUS404 historical simulation WRF-based CONUS404 pseudo-global warming (PGW) simulation High-resolution CESM simulation (CESM-HR; Chang, Fu et al. 2025, https://doi.org/10.1038/s41561-025-01859-1) For consistency and fair comparison across datasets, all MCS snapshot variables were interpolated onto a common 0.25deg x 0.25deg latitude–longitude grid. After decompression, each archive contains multiple MATLAB .mat files organized by year, with one file corresponding to one calendar year. These files contain the processed MCS detection outputs and associated snapshot information used in the analyses presented in the manuscript. Each .mat file contains five variables: MCSbt: Cloud-top brightness temperature snapshots surrounding the detected MCS center (unit: K) MCSpr: Hourly precipitation snapshots surrounding the detected MCS center (unit: mm/hour) MCSlon: Longitude of the detected MCS center MCSlat: Latitude of the detected MCS center MCSid: Unique identifier for each detected MCS event; identical values indicate the same MCS tracked at different times The datasets are intended to support reproducibility of the published results, including analyses of MCS frequency, precipitation characteristics, spatial extent, and composite structures.

  PublisherDOI

• Author Correction: Ocean fronts and eddies force atmospheric rivers and heavy precipitation in western North America

  Nature Communications · 2026-01-30

  articleOpen access
  PublisherOA PDFDOI

• Youth-oriented Reinterpretation and Contemporary Transmission of Revolutionary Heritage: Cognitive Differences and Cultural Identity among Generation Z in Creative Adaptations of Revolutionary Songs

  Journal of Education and Culture Studies · 2026-02-02

  articleOpen accessSenior author

  As the spiritual lineage shaped under the leadership of the Chinese Communist Party in the process of revolution, construction, and reform, red culture is endowed with a unique original aspiration and mission, a rich national spirit, and profound historical memories. Red songs, using melody as a bridge, turn abstract spiritual concepts into perceptible artistic representations, and exert an important role of uniting people and inspiring morale in various historical periods. Generation Z has been accustomed to expressing culture and constructing identity through the deconstruction and reconstruction of symbols, and therefore they engage in red songs through creative adaptation as a form of dialogue with red culture. On the basis of the characteristics of Generation Z and the essence of creative adaptation of red songs, this paper makes an in-depth analysis of the role of “creative adaptation” of red songs for Generation Z, and explores the cognitive differences of Generation Z's perception of such adaptations, proposes how to enhance the cultural identity through “creative adaptation” of red songs for Generation Z, aiming to drive the innovative development and transformative evolution of red culture in the new era.

  PublisherOA PDFDOI

• Monitoring live cell drug response with longitudinal stimulated Raman scattering imaging and a perfusion-based cell culture platform

  2026-03-05

  articleSenior author
  PublisherDOI

• Precipitation Response to Mesoscale SST Variability: Insights From Observations and Multi‐Resolution Models

  Geophysical Research Letters · 2026-01-23

  articleOpen accessSenior author

  Abstract Mesoscale sea surface temperature (SST) variability influences the marine atmosphere boundary layer (MABL), affecting near‐surface winds and turbulent heat fluxes. This study examines precipitation response to mesoscale SST forcing using satellite observations, ERA5 reanalysis, and high‐ and low‐resolution climate models. The results show that high‐resolution models produce a precipitation response to mesoscale SST consistent with satellite observations and ERA5. However, partitioning ERA5 and model precipitation into resolved and parameterized convective components reveals that even in high‐resolution models, the simulated mesoscale SST‐precipitation relationship is shaped by the characteristics of convective parameterization. Further, the precipitation response to SST is strongly dependent on the background SST and SST variability in coupled models. Further analysis of ERA5 and high‐resolution simulations shows a vertical velocity response extending to 500 hPa. However, the reliance on convective parameterizations introduces uncertainties about whether high‐resolution models accurately capture these effects.

  PublisherDOI

• Contextualizing contemporary seasonality variations in East Asian tropical cyclone landfalls with a multi-century historical baseline

  npj Climate and Atmospheric Science · 2026-02-21

  articleOpen access

  Paleoclimate records provide a critical long-term perspective on natural climate variability, essential for understanding contemporary climate variations. However, existing paleoclimate proxies lack sufficient spatial-temporal coverage for studying high-impact weather extremes like tropical cyclones (TCs). Here we introduce a multi-source framework that contextualizes the contemporary TC landfalls in East Asia against a multi-century baseline (1368–1911) reconstructed from historical documents. Leveraging pre-industrial and contemporary-era data, the analysis reveals that the relatively small shift toward earlier landfalls in the contemporary era (1946–2020) falls well within the range of fluctuations documented historically (1651–1900). Rather than indicating detectable anthropogenic changes, these results suggest the dominance of natural variability in modulating landfall timing. Our work also suggests consistent natural controls of TC timing in contemporary and pre-industrial eras. This consistency lends credibility to pre-industrial observational datasets and climate simulations, providing a robust template for assessing changes in the seasonality of high-impact extremes.

  PublisherOA PDFDOI

• Optical imaging and spectroscopic characterization of subvisible particles in protein therapeutics

  Advanced Drug Delivery Reviews · 2026-01-14

  articleOpen accessSenior authorCorresponding
  PublisherOA PDFDOI

• June 2010 Subset of R-CESM ROMS Outputs for Free-Run, SSH-Assimilated, and SSH-and-SST-Assimilated Simulations

  Zenodo (CERN European Organization for Nuclear Research) · 2026-05-01

  datasetOpen access

  This is an example subset of ROMS ocean-model output from three Regional Community Earth System Model (R-CESM) Gulf of Mexico simulations used to evaluate Loop Current System dynamics. Please contact the author (gexiao@tamu.edu) for access to the complete original/processed R-CESM output archive, and use the following original papers as citations. The dataset uploaded here includes: 1. Regional Community Earth System Model, R-CESM ROMS output examples: cmpr_*.nc files are representative ROMS ocean-output files from R-CESM. Because the complete R-CESM output archive is very large, only a six-day subset from June 2010 is uploaded here as an example dataset for inspection, testing, reproducibility checks, and demonstration of the file structure. 2. Three simulation types are included and can be identified from the file names: Files containing "_nature_" are from the NA simulation, which is the free-run or nature R-CESM simulation without data assimilation. Files containing "_sla_" are from the SLA simulation, which is the R-CESM simulation with sea surface height anomaly assimilation only. Files containing "_SSHT_" are from the SLAT simulation, which is the R-CESM simulation with both sea surface height anomaly and sea surface temperature assimilation. 3. These files are ROMS ocean-component outputs from the coupled R-CESM system. R-CESM incorporates WRF and ROMS within the CESM coupling framework. The ocean component uses a 3 km ROMS configuration with 50 sigma layers, and the coupled configuration includes a 9 km WRF atmosphere component. Reference: Fu, D., Small, J., Kurian, J., Liu, Y., Kauffman, B., Gopal, A., Ramachandran, S., et al. (2021). Introducing the new Regional Community Earth System Model, R-CESM. Bulletin of the American Meteorological Society, 102(9), E1751–E1769. https://doi.org/10.1175/BAMS-D-20-0024.1

  PublisherDOI

• Investigating SNAC-enhanced peptide drug permeability with stimulated Raman scattering microscopy

  2026-03-05

  articleSenior author

  Therapeutic peptides offer high target specificity and low systemic toxicity, yet their clinical utility is limited by poor oral bioavailability. Although permeation enhancers such as salcaprozate sodium (SNAC) have enabled the first FDA-approved oral peptide drug, oral semaglutide (Rybelsus), bioavailability remains below 1%, and the underlying transport mechanisms remain poorly understood. Conventional assays provide only bulk measurements and lack spatial and kinetic resolution. Here, we use hyperspectral stimulated Raman scattering (SRS) imaging to directly visualize and quantify SNAC-mediated membrane transport of semaglutide and liraglutide in a model membrane system. This approach provides the first direct, real-time evidence of SNAC-facilitated transmembrane uptake of peptide drugs and reveals pronounced peptide-dependent transport behavior. These differences offer mechanistic insight into why semaglutide — but not liraglutide — can be successfully formulated for oral delivery. Overall, this work establishes a quantitative imaging platform for elucidating permeation enhancer mechanisms and guiding the rational design of oral peptide formulations.

  PublisherDOI

Frequent coauthors

• Ping Chang

  Texas A&M University

  50 shared

• Xingtao Zhou

  27 shared

• Yu Zhao

  Chinese Academy of Medical Sciences & Peking Union Medical College

  26 shared

• Christina M. Patricola

  Iowa State University

  25 shared

• R. Saravanan

  23 shared

• Xue Liu

  Texas A&M University

  22 shared

• Zhuoyi Chen

  16 shared

• Lixin Wu

  Laoshan Laboratory

  11 shared

Education

• PHD, Oceanography

  Texas A&M University

  2018