Ping Chang
Research
Dr. Chang’s expertise is on climate dynamics and climate prediction, as well as global and regional climate modeling. He leads a research group in global and regional climate modeling studies at TAMU and has developed research collaborations with many institutions in the US, Asia and Europe. Dr. Chang’s research involves the understanding of climate variability and predictability, including El Niño-Southern Oscillation (ENSO), Tropical Atlantic variability (TAV) and Atlantic Multidecadal Variability (AMV). He has published over 164 refereed journal articles (http://scholar.google.com/citations?User=ciw1niuaaaaj&hl=en), with some of his research being used to guide the design of major international research programs, such as the Climate and Ocean-Variability, Predictability and Change (CLIVAR) Research Program (http://www.clivar.org). He co-chaired the International CLIVAR Atlantic Research Panel (http://www.clivar.org/clivar-panels/atlantic) and was a contributing author to three chapters in the Fifth Assessment Report (AR5) of the Inter-governmental Panel on Climate Change (IPCC). He is currently the Director of the International Laboratory for High-Resolution Earth System Prediction (iHESP) at Texas A&M University where he and his collaborators have made ground breaking work on climate modeling and prediction.
Selected Publications
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1. Yuan, M., Z. Song, Z. Li, Z. Jing, P. Chang, B. Sun, H. Wang and L. Wu. An Improved Parameterization of Wind-driven Turbulent Vertical Mixing Based on an Eddy-Resolving Climate Model, Journal of Advances in Modeling Earth Systems, 13(10), e2021MS002630 (2021). https://doi.org/10.1029/2021MS002630. |
2021 |
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2. Szunyogh, I., E. Forinash, G. Gyarmati,Y. Jia, P. Chang, and R. Saravanan, Evaluation of a Coupled Modeling Approach for the Investigation of the Effects of SST Mesoscale Variability on the Atmosphere, Journal of Advances in Modeling Earth Systems, 13(9), e2020MS002412 (2021). https://doi.org/10.1029/2020MS002412. |
2021 |
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3. Yang, P., Z. Jing, B. Sun, L. Wu, B. Qiu, P. Chang, S. Ramachandran, C. Yuan. On the Upper-Ocean Vertical Eddy Heat Transport in the Kuroshio Extension. Part II: Effects of Air-Sea Interactions, J. Phys. Oceanogr. 51(10), 3297-3312 (2021). https://doi.org/10.1175/JPO-D-21-0013.1 |
2021 |
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4. Yeager, S. G., F. Castruccio, P. Chang, G. Danabasoglu, E. Maroon, J. Small, H. Wang, L. Wu, S. Zhang. An Outsized Role for the Labrador Sea in the Multidecadal Variability of the Atlantic Overturning Circulation, Sci. Adv., 7(41), eabh3592 (2021). https://doi.org/10.1126/sciadv.abh3592. |
2021 |
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5. Fu, D., P. Chang, C. M. Patricola, R. Saravanan and H. E. Beck. Central American mountains inhibit eastern North Pacific tropical cyclone activity, Nat. Commun., 12, 4422 (2021). https://doi.org/10.1038/s41467- 021-24657-w. |
2021 |
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6. Fu, D., R. J. Small, J. Kurian, Y. Liu, B. Kauffman, A. Gopal, S. Ramachandran, Z. Shang, P. Chang, G. Danabasoglu, K. Thayer-Calder, M. Vertenstein, X. Ma, H. Yao, M. Li, Z. Xu, X. Lin, S. Zhang, L. Wu. Introducing the new Regional Community Earth System Model, R-CESM, Bulletin of the American Meteorological Society, 102(9), E1821-E1843 (2021). https://doi.org/10.1175/BAMS-D-20-0024.1 |
2021 |
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7. Li, D., P. Chang, S. Ramachandran, Z. Jing, Q. Zhang, J. Kurian, A. Gopal, H. Yang. Contribution of the two types of Ekman pumping induced eddy heat flux to the total vertical eddy heat flux, Geophys. Res. Lett., 48(9), e2021GL092982 (2021). https://doi.org/10.1029/2021GL092982. |
2021 |
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8. Yeager, S.G., P. Chang, G. Danabasoglu, J. Edwards, N. Rosenbloom, Q. Zhang, D. Fu, X. Liu, F. Castruccio. Bringing the Future into Focus: Benefits and Challenges of High-Resolution Global Climate Change Simulations, Computing in Science & Engineering, 23(3), 34-41 (2021). https://doi.org/10.1109/MCSE.2021.3068244. |
2021 |
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9. Liu, X., X. Ma, P. Chang, Y. Jia, D. Fu, G. Xu, L. Wu, R. Saravanan and C. M. Patricola. Ocean Fronts and Eddies Remotely Forcing Atmospheric Rivers and Heavy Precipitation, Nat. Comm., 12, 1268 (2021). https://doi.org/10.1038/s41467-021-21504-w. |
2021 |
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10. Kurian, J., P. Li, P. Chang, C.M. Patricola and R.J. Small. Impact of the Benguela Coastal Low-Level Jet on the Southeast Tropical Atlantic SST Bias in a Regional Ocean Model, Clim. Dyn., 56(4), 2773–2800 (2021). https://doi.org/10.1007/s00382-020-05616-5. |
2021 |
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11. Yang, H., L. Wu, P. Chang, B. Qiu, Z. Jing, Q. Zhang, Z. Chen. Mesoscale energy balance and air-sea interaction in the Kuroshio Extension low-frequency versus high-frequency variability, J. Phys. Oceanogr., 51(3), 895-910 (2020). https://doi.org/10.1175/JPO-D-20-0148.1. |
2020 |
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12. Yang P., Z. Jing, B. Sun, L. Wu, B. Qiu, P. Chang, S. Ramachandran. On the Upper-Ocean Vertical Eddy Heat Transport in the Kuroshio Extension. Part I: Variability and Dynamics, J. Phys. Oceanogr., 51(1), 229-246 (2020). https://doi.org/10.1175/JPO-D-20-0068.1. |
2020 |
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13. Chang, P., S. Zhang, G. Danabasoglu, S.G. Yeager, H. Fu, H. Wang et al. An unprecedented set of high-resolution earth system simulations for understanding multiscale interactions in climate variability and change. Journal of Advances in Modeling Earth Systems, 12(12), e2020MS002298 (2020). https://doi.org/10.1029/2020MS002298. |
2020 |
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14. Xu, G., X. Ma, P. Chang, IPART: A Python Package for Image-Processing based Atmospheric River Tracking. Journal of Open Source Software, 5(55), 2407 (2020). https://doi.org/10.21105/joss.02407. |
2020 |
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15. Richter, I., P. Chang and X Liu. Impact of Systematic GCM Errors on Prediction Skill as Estimated by Linear Inverse Modeling, J. Climate, 33(23), 10073-10095 (2020). https://doi.org/10.1175/JCLI-D-20-0209.1. |
2020 |
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16. Li, M., S. Zhang, L. Wu, X, Lin, P. Chang et al. An Examination of the Predictability of Tropical Cyclone Genesis in High-Resolution Coupled Models with Dynamically Downscaled Coupled Data Assimilation Initialization. Adv. Atmos. Sci. 37, 939-950 (2020). https://doi.org/10.1007/s00376-020- 9220-9. |
2020 |
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17. Xu, G., X. Ma, P. Chang, and L. Wang. Image Processing Based Atmospheric River Tracking Method Version 1 (IPART-1), Geoscientific Model Development, 13(10), 4639-4662 (2020). https://doi.org/10.5194/gmd-13- 4639-2020. |
2020 |
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18. Zhang, S., H. Fu, L. Wu, Y. Li, H. Wang et al. Optimizing High-Resolution Community Earth System Model on a Heterogeneous Many-Core Supercomputing Platform (CESM-HR-sw1.0), Geoscientific Model Development, 13(10) 4809-4829 (2020). https://doi.org/10.5194/gmd-2020-18. |
2020 |
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19. Shan, X., Z. Jing, B. Sun, P. Chang, L. Wu, and X. Ma. Influence of the Ocean Mesoscale Eddy- Atmosphere Thermal Feedback on the Upper-Ocean Haline Stratification. J. Phys. Oceanogr. 50(9), 2475-2490 (2020). https://doi.org/10.1175/JPO-D-19-0193.1. |
2020 |
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20. Jing, Z., S. Wang, L. Wu, P. Chang et al. Maintenance of mid-latitude oceanic fronts by mesoscale eddies, Sci. Adv., 6(31), eaba7880 (2020). https://doi.org/10.1126/sciadv.aba7880. |
2020 |
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21. Li, M., S. Zhang, L. Wu, X. Lin, P. Chang et al. A High-Resolution Asia-Pacific Regional Coupled Prediction System with Dynamically Downscaling Coupled Data As-Simulation, Sci. Bull. 65(21), 1849-1858 (2020). https://doi.org/10.1016/j.scib.2020.07.022. |
2020 |
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22. Roberts, M. J., L.C. Jackson, C.D. Roberts. et al. Sensitivity of the Atlantic Meridional Overturning Circulation to Model Resolution in CMIP6 HighResMIP Simulations and Implications for Future Change, Journal of Advances in Modeling Earth Systems, 12(8), e2019MS002014 (2020). https://doi.org/10.1029/2019MS002014. |
2020 |
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23. Xu, G., X. Ma, P. Chang, L. Wang. A Comparison of Northern Hemisphere Atmospheric Rivers Detected by a New Image-Processing Based Method and Magnitude-Thresholding Based Methods. Atmosphere, 11(6), 628 (2020). https://doi.org/10.3390/atmos11060628. |
2020 |
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24. Lu, L., S. Zhang, S. G. Yeager, G. Danabasoglu et al. Impact of Coherent Ocean Stratification on AMOC Reconstruction by Coupled Data Assimilation with a Biased Model, J. Climate, 33(17), 7319-7334 (2020). https://doi.org/10.1175/JCLI-D-19-0735.1. |
2020 |
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25. Shan, X., Z. Jing, B. Gan, L. Wu, P. Chang et al. Surface Heat Flux Induced by Mesoscale Eddies Cools the Kuroshio-Oyashio Extension Region, Geophys. Res. Lett. 47, e2019GL086050 (2020). https://doi.org/10.1029/2019GL086050. |
2020 |
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26. Yang, H., P. Chang, B. Qiu, Q. Zhang and L. Wu et al. Mesoscale air-sea interaction and its role in eddy energy dissipation in the Kuroshio Extension, J. Climate, 32(24), 8659-8676 (2019). https://doi.org/10.1175/JCLI- D-19-0155.1. |
2019 |
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27. Verma, T., R. Saravanan, P. Chang and S. Mahajan. Tropical Pacific Ocean Dynamical Response to Short-term Sulfate Aerosol Forcing, J. Climate, 32(23), 8205-8221 (2019). https://doi.org/10.1175/JCLI-D-19- 0050.1. |
2019 |
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28. Wang, S., Z. Jing, Q. Zhang, P. Chang, Z. Chen, H. Liu and L. Wu. Ocean Eddy Energetics in the Spectral Space as Revealed by High-Resolution General Circulation Models, J. Phys. Oceanogr. 49(11), 2815-2827 (2019). https://doi.org/10.1175/JPO-D-19-0034.1. |
2019 |
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29. Fu, D., P. Chang, C. M. Patricola, and R. Saravanan. High Resolution Tropical Channel Model Simulations of Tropical Cyclone Climatology and Intraseasonal-to-Interannual Variability, J. Climate, 32(22), 7871-7895 (2019). https://doi.org/10.1175/JCLI-D-19-0130.1. |
2019 |
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30. Jia, F., W. Cai, L. Wu, B. Gan, G. Wang, F. Kucharski, P. Chang, and N. Keenlyside. Weakening Atlantic Niño-Pacific connection under greenhouse warming, Science Advances, 5(8), eaax4111 (2019). https://doi.org/10.1126/sciadv.aax4111. |
2019 |
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31. Foltz, G.R., P. Brandt, I. Richter, B. Rodriguez-Fonseca et al. The Tropical Atlantic Observing System, Frontiers in Marine Science, 6, 206 (2019). https://doi.org/10.3389/fmars.2019.00206. |
2019 |
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32. Xu, G., P. Chang, X. Ma, and M. Li. Suppression of winter heavy precipitation in Southeastern China by the Kuroshio warm current, Clim. Dyn. 53, 2437-2450 (2019). https://doi.org/10.1007/s00382-019-04873- 3. |
2019 |
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33. Jia, Y., P. Chang, I. Szunyogh, R Saravanan and J.T. Bacmeister. A Modeling Strategy for the Investigation of the Effect of Mesoscale SST Variability on Atmospheric Dynamics, Geophys. Res. Lett., 46, 3982-3989 (2019). https://doi.org/10.1029/2019GL081960. |
2019 |
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34. Jing, Z., P. Chang, X. Shan, S. Wang, L. Wu and Jaison Kurian. Mesoscale SST Dynamics in the Kuroshio-Oyashio Extension Region, J. Phys. Oceanogr. 49(5), 1339-1352 (2019). https://doi.org/10.1175/JPO- D-18-0159.1. |
2019 |
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35. Cai, W., L. Wu, M. Lengaigne et al. Pantropical climate interactions, Science, 363(6430), eaav4236 (2019). https://doi.org/10.1126/science.aav4236. |
2019 |
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36. Yu, X., S. Zhang, J. Li, L. Lu et al. A Multi-Timescale EnOI-Like High-Efficiency Approximate Filter for Coupled Model Data Assimilation, Journal of Advances in Modeling Earth Systems, 11(1), 45-63 (2019). https://doi.org/10.1029/2018MS001504. |
2018 |
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37. Hsu, W.C., C. Patricola and P. Chang. The Impact of Climate Model Sea Surface Temperature Biases on Tropical Cyclone Simulations, Clim. Dyn. 53, 173-192 (2018). https://doi.org/10.1007/s00382-018- 4577-5. |
2018 |
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38. Yang, H., B. Qiu, P. Chang, L. Wu, S. Wang, Z. Chen. Decadal variability of eddy characteristics and energetics in the Kuroshio Extension, J. Geophys. Res. -Ocean, 123(9), 6653-6669 (2018). https://doi.org/10.1029/2018JC014081. |
2018 |
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39. Patricola, C. M., S. J. Camargo, P. J. Klotzbach, R. Saravanan, and P. Chang. The Influence of ENSO Flavors on Western North Pacific Tropical Cyclone Activity, J. Climate, 31(14), 5395-5416 (2018). https://doi.org/10.1175/JCLI- D-17-0678.1. |
2018 |
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40. Liu, X., P. Chang, J. Kurian, R. Saravanan and X. Lin. Satellite Observed Precipitation Response to Ocean Mesoscale Eddies, J. Climate, 31(17), 6879-6895 (2018). https://doi.org/10.1175/JCLI-D-17-0668.1. |
2018 |
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41. Roberts, M. J., P.L. Vidale, C. Senior et al. The Benefits of Global High Resolution for Climate Simulation: Process Understanding and the Enabling of Stakeholder Decisions at the Regional Scale, Bulletin of the American Meteorological Society, 99(11), 2341-2359 (2018). https://doi.org/10.1175/BAMS-D-15-00320.1. |
2018 |
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42. Jing, Z., P. Chang, S. DiMarco and L. Wu. Observed Energy Exchange between Low-Frequency Flows and Internal Waves in the Gulf of Mexico, Journal of Physical Oceanography, 48(4), 995-1008 (2018). https://doi.org/10.1175/JPO-D-17-0263.1. |
2018 |
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43. Patricola, C. M., R. Saravanan and P. Chang. The Response of Atlantic Tropical Cyclones to Suppression of African Easterly Waves, Geophys. Res. Lett. 45, 471-479 (2018). https://doi.org/10.1002/2017GL076081. |
2018 |
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44. Bracco, A., J. Choi, J. Kurian, P. Chang. Vertical and horizontal resolution dependency in the model representation of tracer dispersion along the continental slope in the northern Gulf of Mexico, Ocean Modelling, 122, 13-25 (2018). https://doi.org/10.1016/j.ocemod.2017.12.008. |
2018 |
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45. Kim, W. M., S. Yeager P. Chang and G. Danabasoglu. Low-Frequency North Atlantic Climate Variability in the Community Earth System Model Large Ensemble, J. Climate, 31, 787-813 (2018). https://doi.org/10.1175/JCLI-D-17-0193.1. |
2018 |
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46. Dong, D., P. Brandt, P. Chang, F. Schu¨tte, X. Yang, Z. Li. Mesoscale Eddies in the Northwestern Pacific Ocean: Three-Dimensional Eddy Structures and Heat/Salt Transports, J. Geophys. Res.-Ocean, 122, 9795-9813 (2017). https://doi.org/10.1002/2017JC013303. |
2017 |
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47. Schmidt, M.W., P. Chang, A. O. Parker, L. Ji and F. He. Deglacial Tropical Atlantic subsurface warming links ocean circulation variability to the West African Monsoon, Scientific Reports, 7, 15390 (2017). https://doi.org/10.1038/s41598-017-15637-6. |
2017 |
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48. Kovilakam, M., S. Mahajan, R. Saravanan, P. Chang. Climate Impacts of CALIPSO-Guided Corrections to Black Carbon Aerosol Vertical Distributions in a Global Climate Model, Geophys. Res. Lett. 44, 10549-10559 (2017). https://doi.org/10.1002/2017GL074652. |
2017 |
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49. Khade, V., P. Chang, I. Szunyogh, J. Kurian, K. Thyng, R. Montuoro. Oceanic Ensemble Forecasting in the Gulf of Mexico: An application to the case of the Deep Water Horizon oil spill, Ocean Modelling, 113, 171-184 (2017). https://doi.org/10.1016/j.ocemod.2017.04.004. |
2017 |
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50. Fu, D., P. Chang and C. M. Patricola. Intrabasin Variability of East Pacific Tropical Cyclones During ENSO Regulated by Central American Gap Winds, Scientific Reports, 7, 1658 (2017). https://doi.org/10.1038/s41598-017-01962-3. |
2017 |
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Education
Ph.D., Atmospheric and Oceanic Sciences, Princeton University, Princeton, NJ, USA, 1985
M.A., Atmospheric and Oceanic Sciences, Princeton University, Princeton, NJ, USA, 1984
M.E., Mechanical Engineering, City College of New York, New York, NY, USA, 1983
B.S., Applied Mathematics and Mechanics, East China Engineering Institute, Nanjing, China., 1982
Awards
1993-1998: National Science Foundation Presidential Young Investigator Award
1998: College Award for Outstanding Research, Texas A&M University
2000-2002: Faculty Fellow, Texas A&M University
2001: Overseas Outstanding Scholar Foundation Award, Chinese Academy of Sciences
2003: TAMU Association of Former Students Distinguished Achievement Award
2010-Present: Louis & Elizabeth Scherck Chair in Oceanography, Texas A&M University
2011-2014: Recipient of the Short-Term Chinese Thousand Talent Program
2014: Follow of the Research Center for Advanced Science and Technology, University of Tokyo
2014: Followship of Japan Society for the Promotion of Science
2015: Francis Bretherton Visitorship of NCAR Climate & Global Dynamics
2019: Fellow of American Meteorological Society
Courses
Numerical Ocean Modeling I (OCNG 615, Credit 4)
Numerical Ocean Modeling II (OCNG 616, Credit 4)
Theories of Ocean Circulation (OCNG 617, Credit 3)
Elements of Ocean Wave Theory (OCNG 612, Credit 3)
Dynamics of the Ocean and Atmosphere (OCNG 614, Credit 3)
Meteorological Oceanography (OCNG 651, Credit 3)
Numerical Methods for Geosciences (ATMO/GEOP/OCNG 618, Credit 3)
Additional Information
Current Research Projects:
- NSF Convergence Accelerator Track E: Combining Global High-Resolution Climate Simulations with Ocean Biogeochemistry, Fisheries and Decision-Making Models to Improve Sustainable fisheries (PI: P. Chapman, Co-PI: Z. Zhang, SP: P. Chang and others) sponsored by NSF
- Understanding the relative roles of Atlantic vs. Pacific coupled dynamics in initializing decadal climate predictions (PI: S. Yeager, Co-PI: P. Chang and W. Cheng) sponsored by DOC
- Assessing the influence of background state and climate variability on tropical cyclones using initialized ensembles and mesh refinement in E3SM (PI: R. Saravanan, Co-PI: P. Chang) sponsored by DOE
- International Laboratory for High-Resolution Earth System Prediction (iHESP) (PI: P. Chang) sponsored by QNLM and TAMU
