Skip to Main Content U.S. Department of Energy
Fundamental and Computational Sciences Directorate

Staff information

Sheng-Lun

Sheng-Lun Tai

Regional and Cloud Modeling
Earth Scientist
Pacific Northwest National Laboratory
PO Box 999
MSIN: K9-24
Richland, WA 99352

Research Interests

  • Data Assimilation
  • Radar Meteorology
  • Mesoscale and Storm-scale Convective Cloud Processes
  • Wind Energy Resource Modeling
  • Interaction between Atmospheric Flow and Complex Terrain

Education and Credentials

  • Ph.D., 2017, Atmospheric Sciences, National Central University, Taiwan
  • M.S., 2010, Atmospheric Sciences, National Central University, Taiwan
  • B.S., 2008, Atmospheric Sciences, National Central University, Taiwan

Awards and Recognitions

  • PNNL EBSD 2024 Outstanding Performance Award

PNNL Publications

2024

  • Liu Y., B.J. Gaudet, R. Krishnamurthy, S. Tai, L.K. Berg, N. Bodini, and A. Rybchuk, et al. 2024. "Identifying meteorological drivers for errors in modeled winds along the Northern California Coast." Monthly Weather Review 152, no. 2:455-469. PNNL-SA-181692. doi:10.1175/MWR-D-23-0030.1

2023

  • Cornwell G.C., C. Mccluskey, T.C. Hill, E. Levin, N. Rothfuss, S. Tai, and M.D. Petters, et al. 2023. "Bioaerosols are the dominant source of warm-temperature immersion-mode INPs and drive uncertainties in INP predictability." Science Advances 9, no. 37:Art. No. eadg3715. PNNL-SA-179510. doi:10.1126/sciadv.adg3715
  • Hagos S.M., Z. Feng, S. Tai, and J. Chen. 2023. "Regional variability in the environmental controls of precipitation regimes in the tropics." Journal of Geophysical Research: Atmospheres 128, no. 18:Art. No. e2023JD038927. PNNL-SA-177978. doi:10.1029/2023JD038927
  • Tai S., L.K. Berg, R. Krishnamurthy, R.K. Newsom, and A. Kirincich. 2023. "Validation of Turbulence Intensity as Simulated by the Weather Research and Forecasting Model off the U.S. Northeast Coast." Wind Energy Science 8, no. 3:433-448. PNNL-SA-177603. doi:10.5194/wes-8-433-2023
  • Yang Z., A.C. Varble, L.K. Berg, Y. Qian, S. Tai, J. Chen, and W.I. Gustafson, et al. 2023. "Sensitivity of Precipitation Displacement of a Simulated MCS to Changes in Land Surface Conditions." Journal of Geophysical Research: Atmospheres 128, no. 10:Art. No. e2022JD037642. PNNL-SA-176807. doi:10.1029/2022JD037642

2022

  • Chand D., L.K. Berg, J.D. Tagestad, B. Putzenlechner, Z. Yang, S. Tai, and J.D. Fast. 2022. "Fine Scale Variability in Green Vegetation Fraction Over the Southern Great Plains Using Sentinel-2 Satellite: A Case Study." Remote Sensing Applications: Society and Environment 27. PNNL-SA-164656. doi:10.1016/j.rsase.2022.100799
  • Ma P., B.E. Harrop, V.E. Larson, R. Neale, R. Neale, A. Gettelman, and H. Morrison, et al. 2022. "Better calibration of cloud parameterizations and subgrid effects increases the fidelity of E3SM Atmosphere Model version 1." Geoscientific Model Development 15, no. 7:2881-2916. PNNL-SA-166161. doi:10.5194/gmd-15-2881-2022
  • Sakaguchi K., L.K. Berg, J. Chen, J.D. Fast, R.K. Newsom, S. Tai, and Z. Yang, et al. 2022. "Determining Spatial Scales of Soil Moisture - Cloud Coupling Pathways using Semi-Idealized Simulations." Journal of Geophysical Research: Atmospheres 127, no. 2:Art. No. e2021JD035282. PNNL-SA-162397. doi:10.1029/2021JD035282

2021

  • Marquis J.N., S. Tai, and J.D. Fast. 2021. Assimilating Scanning Radar Data into Cloud-Scale Models. PNNL-32002. Richland, WA: Pacific Northwest National Laboratory. Assimilating Scanning Radar Data into Cloud-Scale Models.
  • Tai S., Z. Feng, P. Ma, C. Schumacher, and J.D. Fast. 2021. "Representations of Precipitation Diurnal Cycle in the Amazon as Simulated by Observationally Constrained Cloud-System Resolving and Global Climate Models." Journal of Advances in Modeling Earth Systems 13, no. 11:Art. No. e2021MS002586. PNNL-SA-160953. doi:10.1029/2021MS002586
  • Yang Z., M. Huang, L.K. Berg, Y. Qian, W.I. Gustafson, Y. Fang, and Y. Liu, et al. 2021. "Impact of Lateral Flow on Surface Water and Energy Budgets over the Southern Great Plains - A Modeling Study." Journal of Geophysical Research: Atmospheres 126, no. 12:e2020JD033659. PNNL-SA-157977. doi:10.1029/2020JD033659

2020

  • Berg L.K., C.N. Long, E.I. Kassianov, D. Chand, S. Tai, Z. Yang, and L.D. Riihimaki, et al. 2020. "Fine-Scale Variability of Observed and Simulated Surface Albedo Over the Southern Great Plains." Journal of Geophysical Research: Atmospheres 125, no. 7:Article No. e2019JD030559. PNNL-SA-141429. doi:10.1029/2019JD030559
  • Tai S., J.D. Fast, W.I. Gustafson, D. Chand, B.J. Gaudet, Z. Feng, and R.K. Newsom. 2020. "Simulation of Continental Shallow Cumulus Populations using an Observation-Constrained Cloud-System Resolving Model." Journal of Advances in Modeling Earth Systems 12, no. 9:e2020MS002091. PNNL-SA-151559. doi:10.1029/2020MS002091
  • Tai S., Y. Liou, S. Chang, and J. Sun. 2020. "The Heavy Rainfall Mechanism Revealed by a Terrain-Resolving 4DVar Data Assimilation System - A Case Study." Monthly Weather Review 148, no. 6:2307-2330. PNNL-SA-152383. doi:10.1175/MWR-D-19-0244.1
  • Yang Z., Y. Qian, Y. Liu, L.K. Berg, W.I. Gustafson, Z. Feng, and K. Sakaguchi, et al. 2020. "Understanding Irrigation Impacts on Low-Level Jets over the Great Plains." Climate Dynamics 55, no. 3-4:925-943. PNNL-SA-146743. doi:10.1007/s00382-020-05301-7

Science at PNNL

Core Research Areas

User Facilities

Centers & Institutes

Research Highlights

View All Research Highlights & Staff Accomplishments

RSS Feed

Contacts