Chu-Chun Chang Ph.D.

  • Postdoctoral Researcher
Chu-Chun Chang

Dr. Chu-Chun Chang works with applying observational data to improve soil and ecosystem models. She believes that reliable model predictions are key to better understanding our Earth system and reducing potential loss from natural hazards, and is passionate about improving our understanding of climate change.

Dr. Chang has 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 her Ph.D., Dr. Chang improved the National Centers for Environmental Prediction (NCEP) Climate Forecast System using advanced data assimilation methods.

Dr. Chang grew up in Kaohsiung, Taiwan and loves exercise, doing yoga, jogging, and playing badminton after work. In her free time, she also enjoys 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.


Applying prior correlations for ensemble-based spatial localization

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


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.