NOAA GFDL - Geophysical Fluid Dynamics LaboratoryGFDL - Geophysical Fluid Dynamics Laboratory

Dr. Baoqiang Xiang

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Research Interest

  • Numerical model development and Application
  • Subseasonal to Seasonal Prediction
  • Tropical Dynamics

Education

  • 2007-2011, PhD in Meteorology, University of Hawaii at Manoa, USA
  • 2002-2005, Master in Physical Oceanography, First Institute of Oceanography, China
  • 1998-2002, Bachelor in Physical Oceanography Ocean University of China

Scientific Experiences

  • Physical Scientist, NOAA/GFDL, 01/2025-present
  • Project Scientist III, UCAR, NOAA/GFDL, 04/2022-01/2025
  • Project Scientist II, UCAR, NOAA/GFDL, 11/2018-03/2022
  • Project Scientist I, UCAR, NOAA/GFDL, 10/2015-10/2018
  • Postdoctoral Fellow, UCAR, NOAA/GFDL, 10/2013-9/2015
  • Postdoctoral Fellow, IPRC, University of Hawaii, 1/2012 to 9/2013
  • Research Assistant, Department of Meteorology, University of Hawaii, 2007-2011
  • Research Assistant, First Institute of Oceanography, SOA, China, 2005-2007

Academic Services

  • Co-lead the development of GFDL’s next-generation Atmospheric Model, AM5, from 2022.
  • Serving as an editor for Journal of Climate from 2019 to 2023
  • Serving as a member for US CLIVAR PPAI (The Predictability, Predictions, and Applications Interface) panel
  • Review article: Nature Geoscience, Nature Communications, BAMS, Journal of Climate, Climate Dynamics, Journal of Advances in Modeling Earth Systems, Scientific Report, Geophysical Research Letters, Journal of Geophysical Research, International Journal of Climatology, Climatic Change, Chinese Journal of Oceanology and Limnology, Advances in Atmospheric Sciences, Asia-Pacific Journal of Atmospheric Sciences.
Other Experiences
  • Developed an ocean-ice-atmosphere coupled model–POP/CICE-OASIS-ECHAM model (POEM) that has been used by APEC Climate Center (APCC) as an in-house prediction model (SCoPS)
  • Joined the 22nd Chinese National Antarctic Research Expedition in 2005-2006

Honors

  • Awards for Team Members of the Year (2023) award from NOAA/OAR for ‘exceptional collaborative development of frontier, unified weather-to-subseasonal prediction systems.‘
  • Awarded the International Prize for Model Development from the World Climate Research Programme (WCRP) and the World Weather Research Programme (WWRP) (2019)
  • Winner of COAA Graduate Thesis Competition 2012 (2nd place)