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特邀美国亚利桑那大学Zeng Xubin教授来校学术交流
作者:重点实验室               发布时间:2017-7-14 0:00:00              浏览量:95

报告题目:Atmosphere-(land, ocean, ice) surface interactions: modeling and dataset development 

主 持 人:王会军院士 

时 间:7月18日10:00 

地 点:气象楼423 

报告人简介: 

Dr. Xubin Zeng is the Agnese N. Haury Chair in Environment, Professor of Atmospheric Science at the University of Arizona (UA), as well as the Director of the UA Climate Dynamics and Hydrometeorolgy Center. He earned his Ph.D. in atmospheric science from Colorado State University in 1992. 

Through over 170 peer-reviewed papers, Dr. Zeng's research has focused on land-atmosphere-ocean interface processes, weather and climate modeling, hydrometeorology, remote sensing, and nonlinear dynamics. His model parameterizations and global value-added observation-based datasets have been widely used in weather and climate models (including NCEP, ECMWF, CESM, WRF, …). He acts as a bridge linking measurement technology, in situ and satellite data, and modeling communities. 

He is a fellow of the American Meteorological Society (AMS) and the UA Academic Leadership Institute. He received the Special Creativity Award from the National Science Foundation and the Outstanding Faculty Award from the UA Asian American Faculty, Staff and Alumni Association. 

Dr. Zeng was a Co-Chair or member of numerous committees related to NASA, NOAA, NSF, DOE, AMS, AGU, NCAR, and international programs (CLIVAR, GEWEX, iLEAPS). Currently he serves on the NASA/NOAA/USGS Decadal Survey Weather and Air Quality Panel, NOAA Science Advisory Board Environmental Information Services Working Group, DOE PNNL Earth & Biological Sciences Directorate Science Advisory Board, NCAR Earth Observing Laboratory External Advisory Committee, chairs the AMS Researcher Involvement Committee, and last month he was just appointed as the Co-Chair of the International GEWEX Atmospheric System Study (GASS) Panel. 

报告摘要: 

Atmosphere-(land, ocean, ice) surface interactions: modeling and dataset development 

Xubin Zeng, University of Arizona, Tucson, AZ 

Atmosphere-land-ocean-ice interface processes strongly affect weather and climate prediction and the energy/water/carbon cycles. Here I will overview some of our recent work in these areas: 

First, we have developed a new and innovative method to obtain daily 4 km snow water equivalent and snow depth data from 1981 to present over continental U.S. The robustness of our method and our product has been demonstrated using three approaches. Using this dataset, we have found large snow water equivalent and snow depth errors from analysis, reanalysis, land data assimilation systems, and satellite remote sensing, and identified the primary reasons. 

Second, we have developed 0.5 deg hourly surface air temperature datasets over global land. A new finding on the diurnal temperature range over high latitudes will be discussed. Furthermore, 1,400 station years of in situ measurements of surface air temperature over Greenland have been used to comprehensively assess existing observation-based gridded datasets, reanalyses, and CMIP5 models. One finding is that observation-based gridded datasets and reanalyses differ in mean values and trends. 

Finally, we have developed an observational data-driven model for decadal and long-term global warming projections. This model combines natural multi-decadal variability with anthropogenic warming that depends on the history of annual emissions. It shows good skill in decadal hindcasts with the recent warming slowdown well captured. We have also compared our decadal and long-term projections (including the uncertainty range) with those from CMIP5 models. 



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2017年7月14日


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