Publications

Peer-reviewed journal papers


2024


  1. Li, Z. B., Xu, Y., Yuan, H. S., Chang, Y., and Shen, C. ✉ (2024). AMO footprint of the recent near-surface wind speed change over China. Environmental Research Letters, https://doi.org/10.1088/1748-9326/ad7ee4.
  2. Shen, C., Li, Z. B., Liu, F., Chen, H. W., and Chen, D. (2024). A Robust Reduction in Near-Surface Wind Speed After Volcanic Eruptions: Implications for Wind Energy Generation. The Innovation. In press.
  3. Yang, X., Shen, C., Ullah, I., Curio, J., & Chen, D. (2024). Evaluating heat stress and occupational risks in the Southern Himalayas under current and future climates. npj Climate and Atmospheric Science, https://doi.org/10.1038/s41612-024-00764-5
  4. Shen, C., Li, Z. B., Yuan, H. S., Yu, Y., Lei, Y., and Chen, D. (2024). Increases of Offshore Wind Potential in a Warming World. Geophysical Research Letters, https://doi.org/10.1029/2024GL109494, featured in The Guardian, AGU News and the University of Gothenburg.
  5. Chuan, T., Wu, T., Zha, J., Zhao, D., Shen, C., Fan, W., and Jiang, H. (2024). Asynchronous changes in terrestrial near-surface wind speed among regions across China from 1973 to 2017, Atmospheric Research. https://doi.org/10.1016/j.atmosres.2024.107220
  6. Liu, Y., Zhou, L., Qin, Y., Azorin-Molina, C., Shen, C., Xu, R., and Zeng, Z. (2024). Impacts of anemometer changes, site relocations and processing methods on wind speed trends in China, Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2023-58
  7. Deng, K., Liu, W., Li, H., Yang, S., Lian, T., Zhang, G., Zha, J., Shen, C., and Chen, D., (2024). The offshore wind speed changes in China: an insight into CMIP6 model simulation and future projections. Climate Dynamics, https://doi.org/10.1007/s00382-023-07066-1#Ack1
  8. Yang, X., Zhang, S., Shen, C., and Chen, D. (2024). Summer long-lived heatwaves in Northeast Asia promote heavy precipitation in South China, Atmospheric Research, https://doi.org/10.1016/j.atmosres.2024.107244
  9. Yu, Y., Li, Z., Yan, Z., Yuan, H., and Shen, C. ✉, (2024). Projected Emergence Seasons of Year-maximum Near-Surface Wind Speed, Geophysical Research Letters, https://doi.org/10.1029/2023GL107543
  10. Yang, X., Gang, Z., Zhang, S., Iyakaremye, V., Shen, C., Wang, W., and Chen, D., (2024). Phase-locked Wave-4 Pattern Dominates the Concurrent Summer Heat Extremes in the Northern Hemisphere, Geophysical Research Letters, https://doi.org/10.1029/2023GL107106
  11. Yang, X., Shen, C., Zhang, G., Chen, D., (2024). Enhanced spring warming of the Tibetan Plateau amplifies summer heat stress in Eastern Europe. Climate Dynamics, https://link.springer.com/article/10.1007/s00382-024-07197-z
  12. Zha, J., Chuan, T., Wu, J., Zhao, D., Luo, M., Feng, J., Fan, W., Shen, C., Jiang, H., (2024). Attribution of Terrestrial Near-Surface Wind Speed Changes Across China at a Centennial Scale. Geophysical Research Letters, https://doi.org/10.1029/2024GL108241

2023


  1. Minola, L., Zhang, G., Ou, T., Kukulies, J., Curio, J., Guijarro, J.A., Deng, K., Azorin-Molina, C., Shen, C., Pezzoli, A. and Chen, D. (2023). Climatology of near-surface wind speed from observations and high-resolution climate models over the Tibetan Plateau. Climate Dynamics (2023). https://doi.org/10.1007/s00382-023-06931-3
  2. Andres-Martin, M., Azorin-Molina, C., Shen, C. ✉, Fernánde-zÁlvarez, J., Gimeno, L., and Zha, J. (2023). Uncertainty in surface wind speed projections over the Iberian Peninsula: CMIP6 GCMs vs. a WRF-RCM. Annals of the New York Academy of Sciences, https://doi.org/10.1111/nyas.15063
  3. Shen, C., Yuan, H., Li, Z., Yang, X., Minola, L., Chang, Y., and Chen, D. (2023). March Near-surface Wind Speed Hiatus over China since 2011. Geophysical Research Letters, 50, e2023GL104230, https://doi.org/10.1029/2023GL104230
  4. Minola, L., Lönn, J., Azorin-Molina, C., Zhou, C., Engström, E., Wern, L., Hellström, S., Zhang, G., Shen, C., Chen, D. (2023). The contribution of large-scale atmospheric circulation to variations of observed near-surface wind speed across Sweden since 1926. Climatic Change, 54, https://doi.org/10.1007/s10584-023-03525-0
  5. Azorin-Molina, C., Pirooz, A.A.S., Bedoya-Valestt, S., Utrabo-Carazo, E., Andres-Martin, M., Shen, C., Minola, L., Guijarro, J., Aguilar Anfrons, E., Brunet, M. and Flay, R.G., Biases in Wind Speed Measurements Due to Anemometer Changes. Atmospheric Research, 289, 106771. https://doi.org/10.1016/j.atmosres.2023.106771
  6. Zha, J., Shen, C., Wu, J., Zhao, D., Fan, W., Jiang, H., and Zhao, T. (2023). Evaluation and Projection of Changes in Daily Maximum Wind Speed over China Based on CMIP6. Journal of Climate, 36(5), 1503-1520. https://doi.org/10.1175/jcli-d-22-0193.1

2022


  1. Dunn, R. J. H., Azorin-Molina, C., Menne, M. J., Zeng, Z., Casey, N. W., and Shen, C. (2022). Reduction in reversal of global stilling arising from correction to encoding of calm periods. Environmental Research Communications, 4(6). https://iopscience.iop.org/article/10.1088/2515-7620/ac770a
  2. Zha, J.-L., Shen, C., Wu, J., Zhao, D.-M., Fan, W.-X., Jiang, H.-P., Azorin-molina, C., and Chen, D. (2022). Effects of Northern Hemisphere Annular Mode on terrestrial near-surface wind speed over eastern China from 1979 to 2017. Advances in Climate Change Research, 13(6), 875-883. https://doi.org/10.1016/j.accre.2022.10.005
  3. Zha, J., Shen, C., Zhao, D., Feng, J., Xu, Z., Wu, J., Fan, W., Luo, M., and Zhang, L. (2022). Contributions of External Forcing and Internal Climate Variability to Changes in the Summer Surface Air Temperature over East Asia. Journal of Climate, 35(15), 5013-5032. https://doi.org/10.1175/jcli-d-21-0577.1
  4. Shen, C. , Zha, J., Li, Z., Azorin-Molina, C., Deng, K., Minola, L., and Chen, D. (2022). Evaluation of global terrestrial near-surface wind speed simulated by CMIP6 models and their future projections. Ann N Y Acad Sci, 1518(1), 249-263. https://doi.org/10.1111/nyas.14910
  5. Shen, C., Zha, J., Wu, J., Zhao, D., Azorin-Molina, C., Fan, W., and Yu, Y. (2022). Does CRA-40 outperform other reanalysis products in evaluating near-surface wind speed changes over China? Atmospheric Research, 266. https://doi.org/10.1016/j.atmosres.2021.105948

2021


  1. Wu, J., Zhang, S., Yang, Q., Zhao, D., Fan, W., Zhao, J., and Shen, C. (2021). Using particle swarm optimization to improve visibility-aerosol optical depth retrieval method. npj Climate and Atmospheric Science, 4(1). https://doi.org/10.1038/s41612-021-00207-5
  2. Shen, C., Zha, J., Zhao, D., Wu, J., Fan, W., Yang, M., and Li, Z. (2021). Estimating centennial-scale changes in global terrestrial near-surface wind speed based on CMIP6 GCMs. Environmental Research Letters, 16(8). https://doi.org/10.1088/1748-9326/ac1378
  3. Zha, J., Zhao, D., Wu, J., and Shen, C. (2021). Terrestrial Near-Surface Wind Speed Variations in China: Research Progress and Prospects. Journal of Meteorological Research, 35(3), 537-556. https://doi.org/10.1007/s13351-021-0143-x
  4. Zha, J., Shen, C., Zhao, D., Wu, J., and Fan, W. (2021). Slowdown and reversal of terrestrial near-surface wind speed and its future changes over eastern China. Environmental Research Letters, 16(3). https://doi.org/10.1088/1748-9326/abe2cd
  5. Shen, C., Zha, J., Wu, J., and Zhao, D. (2021). Centennial-scale variability of terrestrial near-surface wind speed over China from reanalysis. Journal of Climate, 1-52. https://doi.org/10.1175/jcli-d-20-0436.1
  6. Zha, J., Shen, C., Li, Z., Wu, J., Zhao, D., Fan, W., Sun, M., Azorin-Molina, C., and Deng, K. (2021). Projected changes in global terrestrial near-surface wind speed in 1.5 °C–4.0 °C global warming levels. Environmental Research Letters, 16(11). https://doi.org/10.1088/1748-9326/ac2fdd