His research interests include land surface model improving, land surface data assimilation, and micrometeorological observing and data analyzing.

Dr. Yingying Chen received the B.S. and the M.S. degrees in geography from Lanzhou University in 2002 and 2005, respectively, and the Ph. D. in geo-information system and remote sensing from Institute of Remote Sensing Applications Chinese Academy of Sciences in 2008. He finished his postdoc program in 2011 at Institute of Tibetan Plateau Research Chinese Academy of Sciences, and is presently serving as Associate Professor in this institute.

Invited newsletter and book chapter

1. Chen, Y. and K. Yang, 2013: Land Surface Process Study and Modeling in Drylands and High-Elevation Regions (Chapter 4), in Land Surface Observation, Modeling and Data Assimilation, World Scientific Publishing Co. Pte. Ltd., 91-124.
2. Chen, Y. and K. Yang, 2011: Parameterizing thermal roughness length is crucial for dryland energy budget modeling, GEWEX News, 21(1), 5-6.

ISI-indexed journal papers

1. Yang, K., Lazhu, Y. Chen, L. Zhao, J. Qin, H. Lu, W. Tang, M. Han, B. Ding, and N. Fang, 2016: Land surface model calibration through microwave data assimilation for improving soil moisture simulations, J. Hydrol., 533, 266–276, doi:10.1016/j.jhydrol.2015.12.018.
2. Han, M., K. Yang, J. Qin, R. Jin, Y. Ma, J. Wen, Y. Chen, L. Zhao, Lazhu, and W. Tang, 2015: An algorithm based on the standard deviation of passive microwave brightness temperatures for monitoring soil surface freeze/thaw state on the Tibetan Plateau, IEEE Trans. Geosci. Remote Sens., 53(5), 2775-2783, doi:10.11-09/TGRS.2014.2364823.
3. Lin, C., K. Yang, J. Huang, W. Tang, J. Qin, X. Niu, Y. Chen, D. Chen, N. Lu, and R. Fu, 2015: Impacts of wind stilling on solar radiation variability in China, Sci. Rep., 5, 15135, doi:10.1038/srep15135.
4. Qin, J., L. Zhao, Y. Chen, K. Yang, Y. Yang, Z. Chen, and H. Lu, 2015: Inter-comparison of spatial upscaling methods for evaluation of satellite-based soil moisture, J. Hydrol., 523, 170-178, doi:10.1016/j.jhydrol.2015.01.061.
5. Wu, H., K. Yang, X. Niu, and Y. Chen, 2015: The role of cloud height and warming in the decadal weakening of atmospheric heat source over the Tibetan Plateau, Sci. China Ser. D., 58(3), 395–403, doi:10.1007/s11430-014-4973-6.
6. Ding, B., K. Yang, J. Qin, L. Wang, Y. Chen, and X. He, 2014: The dependence of precipitation types on surface elevation and meteorological conditions and its parameterization, J. Hydrol., 513, 154-163, doi:10.1016/j.jhydrol.2014.03.038.
7. Yang, K., H. Wu, J. Qin, C. Lin, W. Tang, and Y. Chen, 2014: Recent climate changes over the Tibetan Plateau and their impacts on energy and water cycle: A review, Global Planet. Change, 112, 79-91, doi:10.1016/j.gloplacha.2013.12.001.
8. Yang, K., H. Wu, Y. Chen, J. Qin, and L. Wang, 2014: Toward a satellite-based observation of atmospheric heat source over land, J. Geophys. Res. Atmos., 119(6), 3124-3133, doi:10.1002/2013JD021091.
9. Zhao, L., K. Yang, J. Qin, Y. Chen, W. Tang, H. Lu, and Z. Yang, 2014: The scale-dependence of SMOS soil moisture accuracy and its improvement through land data assimilation in the central Tibetan Plateau, Remote Sens. Environ., 152, 345-355, doi:10.1016/j.rse.2014.07.005.
10. Chen, Y., K. Yang, J. Qin, L. Zhao, W. Tang, and M. Han, 2013: Evaluation of AMSR-E retrievals and GLDAS simulations against observations of a soil moisture network on the central Tibetan Plateau, J. Geophys. Res. Atmos., 118(10), 4466-4475, doi:10.1002/jgrd.50301.
11. Qin, J., K. Yang, N. Lu, Y. Chen, L. Zhao, and M. Han, 2013: Spatial upscaling of in-situ soil moisture measurements based on MODIS-derived apparent thermal inertia, Remote Sens. Environ., 138, 1-9, doi:10.1016/j.rse.2013.07.003.
12. Xue, B., L. Wang, K. Yang, L. Tian, J. Qin, Y. Chen, L. Zhao, Y. Ma, T. Koike, Z. Hu, and X. Li, 2013: Modeling the land surface water and energy cycles of a mesoscale watershed in the central Tibetan Plateau during summer with a distributed hydrological model, J. Geophys. Res. Atmos., 118(16), 8857-8868, doi:10.1002/jgrd.50696.​
13. Yang, K., J. Qin, L. Zhao, Y. Chen, W. Tang, M. Han, Lazhu, Z. Chen, N. Lu, B. Ding, H. Wu, and C. Lin, 2013: A Multi-Scale Soil Moisture and Freeze-Thaw Monitoring Network on the Third Pole, Bull. Amer. Meteor. Soc., 94(12), 1907–1916, doi:10.1175/BAMS-D-12-00203.1.
14. Zhao, L., K. Yang, J. Qin, and Y. Chen, 2013: Optimal Exploitation of AMSR-E Signals for Improving Soil Moisture Estimation Through Land Data Assimilation, IEEE Trans. Geosci. Remote Sens., 51(1), 399-410, doi:10.1109/TGRS.2012.2198483.
15. Zhao, L., K. Yang, J. Qin, Y. Chen, W. Tang, C. Montzka, H. Wu, C. Lin, M. Han, and H. Vereecken., 2013: Spatiotemporal analysis of soil moisture observations within a Tibetan mesoscale area and its implication to regional soil moisture measurements, J. Hydrol., 482, 92-104, doi:10.1016/j.jhydrol.2012.12.033.
16. Chen, Y., K. Yang, W. Tang, J. Qin, and L. Zhao, 2012: Parameterizing soil organic carbon's impacts on soil porosity and thermal parameters for Eastern Tibet grasslands, Sci. China Ser. D, 55(6), 1001-1011, doi:10.1007/s11430-012-4433-0.
17. Chen, Y., K. Yang, J. He, J. Qin, J. Shi, J. Du, and Q. He, 2011: Improving land surface temperature modeling for dry land of China, J. Geophys. Res. Atmos., 116, D20104, doi:10.1029/2011JD015921.
18. Guo, X., K. Yang, L. Zhao, W. Yang, S. Li, M. Zhu, T. Yao, and Y. Chen, 2011: Critical Evaluations of Scalar Roughness Length Parameterizations over a Melting Valley Glacier, Bound.-Layer Meteor., 139(2), 307-332, doi:10.1007/s10546-010-9586-9.
19. Guo, X., K. Yang, and Y. Chen, 2011: Weakening sensible heat source over the Tibetan Plateau revisited: effects of the land-atmosphere thermal coupling, Theor. Appl. Climatol., 104(1-2), 1-12, doi:10.1007/s00704-010-0328-1.
20. Chen, Y., K. Yang, D. Zhou, J. Qin, and X. Guo, 2010: Improving the Noah Land Surface Model in Arid Regions with an Appropriate Parameterization of the Thermal Roughness Length, J. Hydrometeorol., 54(6), 989-1006, doi:10.1175/2010JHM1185.1.
21. Yang, K., Y. Chen, and J. Qin, 2009: Some practical notes on the land surface modeling in the Tibetan Plateau, Hydrol. Earth Syst. Sci., 13, 687-701, doi:10.5194/hess-13-687-2009.
    

Supported Projects

NSFC  funding
973 funding