Chu-Chun Chang Ph.D.

  • Postdoctoral Researcher
Chu-Chun Chang
Research area Contact

I work with applying observational data to improve soil and ecosystem models. I believe that reliable model predictions are key to better understanding our Earth system and reducing potential loss from natural hazards, and I am passionate about improving our understanding of climate change.

I have been working on data assimilation (combining observations and models) and numerical weather prediction for almost ten years, focusing on understanding the predictability of Earth systems and improving model forecasting. For my Ph.D., I improved the National Centers for Environmental Prediction (NCEP) Climate Forecast System using advanced data assimilation methods.

I grew up in Kaohsiung, Taiwan, and love to exercise, do yoga, jog, and play badminton after work. I also enjoy cooking, hiking, and playing video games with friends.

Selected Publications

Estimating Ocean Observation Impacts on Coupled Atmosphere-Ocean Models Using Ensemble Forecast Sensitivity to Observation (EFSO)

Chang, C.-C., T.-C. Chen, E. Kalnay, C. Da, & S. Mote. (2023). Geophysical Research Letters.

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Applying prior correlations for ensemble-based spatial localization

Chang, C.-C. & E. Kalnay (2022). Nonlinear Processes in Geophysics.

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Strongly Coupled Data Assimilation in Multiscale Media: Experiments Using a Quasi-Geostrophic Coupled Model

Penny, S.G., E. Bach, K. Bhargava, C.-C. Chang, C. Da, L. Sun, & T. Yoshida (2019). Journal of Advances in Modeling Earth Systems.

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