
Risheng WangHamburg University | UHH · Meteorologisches Institut (MI)
Risheng Wang
PhD
About
9
Publications
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244
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Introduction
Additional affiliations
January 1996 - December 1999
September 1993 - December 1995
April 1989 - July 1993
Publications
Publications (9)
A methodology is presented for reconstructing past climates on a seasonal basis using historical data from chronicles and documents in China. This procedure consists of three steps: first, individual climate indicators are identified and scaled by ordinal numbers (or grades) based on their individual statistics; secondly, the cold (warm) climate in...
A methodology is presented to make an optimal use of the global SST for the prediction of seasonal climates. First, the space–time extended principal component analysis was applied to the key SST forcing regions, such as the tropical Pacific and the Atlantic, to establish a low-dimensional phase space model. This allows a nonlinear prediction, in t...
The variability of El Niño-La Niña events was analyzed in a low-dimensional phase space, a concept derived from dynamic system theory. The space-time extended EOFs derived from the observed monthly mean SST field over tropical Pacific were used as the basis of the phase space that describes the time evolution of ENSO signals. It was shown that the...
The statistical model proposed by Vautard et al. is applied to the seasonal prediction of surface air temperatures over North America (Canada and the United States). This model is based on sea surface temperature predictors filtered by multichannel singular spectrum analysis (MSSA), which is equivalent here to a nonseasonal version of extended EOF...
Empirical orthogonal function (EOF) analyses are performed of time-height series of zonal and meridional winds and of cumulonimbus heating and drying in the Tropics. The data are from a rawinsonde array in the western Pacific located between the equator and 108S during the intensive observation period of the Tropical Ocean Global Atmosphere Coupled...
Extended empirical orthogonal functions (EOFs) are used to define a phase space for the analysis of tropical stratospheric wind data, extending our previous study of the quasi-biennial oscillation (QBO) in several manners. First, the sensitivity of the analysis to the length of the window (w) is discussed in some detail. As w increases, the leading...
Empirical orthogonal function analyses of the time-height series of monthly mean zonal wind in the stratosphere have been performed. Conventional EOF analysis on the time series reveals that the quasi-biennial oscillation (QBO) of the zonal wind is a quasi-regular oscillation with a period near 28 months, but the noisy structure of the first two EO...
A modified version of the Grassberger-Procaccia algorithm is proposed to estimate the correlation dimension of an attractor. Firstly, a measured time series is embedded into an M dimensional phase space spanned by time delay coordinates. This, in turn, is linearly transformed into an equivalent space spanned by an orthogonal basis derived from sing...
Using 34 years (July 1957–June 1991) of 50 hPa northern hemisphere geopotential height data, Φ
50 and observed tropical winds, u
QBO
, an attempt is made to isolate spatial patterns of interannual variability using Empirical Orthogonal Function (EOF) analysis. The dominant variability of Φ
50 in all months is zonally symmetric, representing changes...