Diyang Cui is a Ph.D. student in Geographical Sciences at the University of Maryland, College Park. She holds B.S. in Geographical Information Sciences from Beijing Normal University. She has worked with Prof. Shunlin Liang on developing climate maps and detecting climate zone relocations and their implications on terrestrial ecosystems. In her time at UMD, she has served as a research assistant working on coal power phase-out in China at the Centre for Global Sustainability (CGS). Her current research interests include climate change and biogeography, assessment of climatic exposure and strategies for conservation and sustainable development.
Areas of Interest
- Climate Change and Biogeography
- Climate Classification
- Biodiversity Conservation
Degree TypeBSDegree DetailsGeographical Information Science, Beijing Normal University
- Cui, D., Liang, S., Wang, D., & Liu, Z. (2021). A 1 km global dataset of historical (1979–2013) and future (2020–2100) Köppen–Geiger climate classification and bioclimatic variables. Earth System Science Data, 13(11), 5087–5114. https://doi.org/10.5194/es
- Cui, D., Liang, S., & Wang, D. (2021). Observed and projected changes in global climate zones based on Köppen climate classification. WIREs Climate Change, 12(3), Abstract. 07154. https://doi.org/10.1002/wcc.701
- Cui, R. Y., Hultman, N., Cui, D., McJeon, H., Yu, S., Edwards, M. R., . . . Zhu, M. (2021). A plant-by-plant strategy for high-ambition coal power phaseout in China. Nature Communications, 12(1), 1468. https://doi.org/10.1038/s41467-021-21786-0
- Cui, R. Y., Hultman, N., Cui, D.-Y., McJeon, H., Clarke, L., Yuan, J.-H., & Cai, W.-J. (2021). A U.S.‒China coal phaseout and the global 1.5 °C pathway. Advances in Climate Change Research, 2(4), e151. https://doi.org/10.1016/j.accre.2021.09.005
- Cui, R., Hultman, N., Jiang, K., McJeon, H., Yu, S., Cui, D., . . . others (2020). A high ambition coal phaseout in China: Feasible strategies through a comprehensive plant-by-plant assessment. Center for Global Sustainability: College Park, Maryland, 37.
- Geospatial-Information Science and Remote Sensing