Open AccessInfluence of time delay on global temperature correlation
Author(s) -
Zhi Rong,
Zhiqiang Gong,
Qiguang Wang,
Xiong Kai-Guo
Publication year - 2011
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.60.089202
Subject(s) - lag , time lag , range (aeronautics) , environmental science , correlation coefficient , global temperature , correlation , climatology , interval (graph theory) , mean radiant temperature , distribution (mathematics) , latitude , lag time , stability (learning theory) , atmospheric research , atmospheric sciences , meteorology , mathematics , statistics , geology , physics , geodesy , climate change , materials science , global warming , computer science , mathematical analysis , computer network , oceanography , composite material , biology , geometry , machine learning , biological system , combinatorics
With time delay under consideration, temperature correlation matrixes are constructed based on the reanalysis of temperature data provided by National Centers for Environmental Prediction/National Center for Atmospheric Research and European Centre for Medium-Range Weather Forecasts. Results indicate that the correlation of global temperature decreases with lag time, and the rate is dependent on time lag. We divide the lag time (1—30 d) into three segments, i.e., 1—7 d, 8—20 d and 21—30 d according to the decrease rate of global average correlation coefficient Cglb. When the lag time is in a specific interval (8—20 d), Cglb is unstable, which may explain the difficulty in long range weather forecast of 10—30 d. The spatial distribution of the global temperature correlation keeps stable for different lag times, while the numerical change shows zonal distribution on the whole, and that the most of Asia and the equatorial central and eastern Pacific show countertrend to other parts of similar latitudes.