Author: Wang, Guiling

January 2018

Our lab welcomes M.S. student Tengyu Ding. Tengyu received his B.S. degree in Hydrology and Water Resources from the Northwest Agriculture and Forestry University in China. His research focuses on modeling the terrestrial hydrological cycle. Welcome, Tengyu!

August 2017

The lab welcomes Xiaoming Sun, a postdoctoral associate with keen interest in precipitation extremes and atmospheric convection. Dr. Sun received his PhD degree from Duke University under the supervision of Professor Ana Barros in the Department of Civil and Environmental Engineering, and M.S. degree from UConn CEE. Welcome back, Xiaoming!

July 2017

Dr. Miao Yu, a former postdoctoral researcher in our group (2011-2014), has been promoted to the rank of Professor in Nanjing University of Information Science and Technology! Miao, congratulations! We are so proud of you!!!

 

 

 

February 2017

Our lab’s 2-paper series on coupled land use-climate projections has been published online now, accessible from the Journal of Advances in Modeling Earth Systems website:

http://onlinelibrary.wiley.com/doi/10.1002/2016MS000712/full

http://onlinelibrary.wiley.com/doi/10.1002/2016MS000721/full

These formally wrapped up our NSF EaSM project. Congratulations and many thanks to Dr. Kazi Ahmed who played a pivotal role in this project! And thanks to the rest of the team for all their contributions and support! It was a great experience working together on this challenging and productive project. 

December 2016

Amir, Lori, and Ying attended the American Geophysical Union fall meeting in San Francisco and gave four presentations:

  1. A New Paradigm of Regional Climate Modeling Accounting for the Role of Oceans: Amazon as a Case Study
  2. Reproducing multi-model ensemble average with Ensemble-averaged Reconstructed Forcings (ERF) in regional climate modeling
  3. Effects of vegetation feedback in modeling the present-day climate over China
  4. Projected Changes of the Ecosystem-Climate System in West Africa using a RCM Driven With Multiple GCMs: Robustness and Uncertainties

Well done!