简介: |
主讲人简介:
Xiangdong Zhang, a professor at the International Arctic Research Center and Department of Atmospheric Science/College of Natural Science and Mathematics, University of Alaska Fairbanks. He got his Ph.D. in 1992 from Nanjing University and B.S. in 1983 from Nanjing Institute of Meteorology. Now, his major research interests are on atmosphere-sea ice-ocean-hydrology interactions, and his several prominent scientific results have been published on the journal of Nature.
讲座简介:
The Chukchi-Beaufort Seas (CBS) and their adjacent coastal and inland areas have experienced drastic changes across all climate system components. It is important to realistically describe and thus better understand high-resolution meteorological fields in this area. This presentation will provide an overview of our recently-completed Chukchi-Beaufort High-Resolution Atmospheric Reanalysis (CBHAR), produced for the period 1979–2009. To develop this reanalysis product, we established a three-dimensional assimilation system based on the state-of-the-art Weather Research and Forecasting (WRF) model with model physics and initial and boundary conditions optimized for this region. The reanalysis was constrained by surface and satellite-based observations collected throughout the study area and subjected to rigorous quality control procedures. The WRF model and its assimilation system were configured to generate gridded surface winds, along with other meteorological parameters, at high spatial (10 km) and temporal (1 hour) resolutions. This high-resolution data is crucial for resolving and better understanding high-frequency wind variability and finer-scale extreme weather events, such as the polar low observed during 9-10 October 2009, which will help to improve the simulation and understanding of ocean eddies and boundary currents, and consequently the assessment and prediction of oil spill dispersion, ocean waves, and coastal erosion. Verification of CBHAR against surface-based observational data indicates that the reanalysis realistically captures observed climatology, variability, and long-term changes of surface winds and temperatures, with a marked increase in accuracy relative to the new generation of global reanalysis products. Analysis of this new data also suggests a large seasonal variation in the surface wind pattern and an increase in wind speed over the CBS throughout the last 30 years. These changes may have broader implications for environment.
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