Estimating European Temperature Trends

Authors

  • Jeremias Knoblauch Maastricht University

DOI:

https://doi.org/10.25609/sure.v1.1074

Abstract

This paper presents estimates for common trends in European temperature panels using new estimators. The analyzed data contains 4000 Eurasian weather stations. A sampling algorithm robust against inherent geographical biases is developed, and appropriate estimators are evaluated. The estimations based on this evaluation show that commonalities in temperature movements disappear with growing geographical scope. They also reveal that European mean temperature increased by 1.8°C over the past 130 years, but estimates differ by region. A particularly pronounced increase has taken place since the 1980s. Further, a 20-year cycle is discovered, and a low-frequency fractal structure of temperature trends is proposed.

Author Biography

Jeremias Knoblauch, Maastricht University

Department of Quantitative Economics

References

Atak, A., Linton, O., & Xiao, Z. (2011) A Semiparametric Panel Model for Unbalanced Data with Application to Climate Change in the United Kingdom. Journal of Econometrics, 164, 92-115.

Chen, J., Gao, J., & Li, D. (2012). Semiparametric Trending Panel Data Models with Cross-Sectional Dependence. Journal of Econometrics, 171, 71-85.

Fan, J., & Gijbels, I. (1996). Local polynomial modelling and its applications (1st ed.). Chapman & Hall.

Gasser, T., Kneip, A., & Köhler, W. (1991). A Flexible and Fast Method for Automatic Smoothing. Journal of the American Statistical Association, 86, 643-652.

Han, J., Kamber, M., & Pei, J. (2011). Data Mining: Concepts and Techniques (3rd ed.). Morgan Kaufmann Publishers.

Hurrell, J.W., & Van Loon, H. (1997). Decadal variations in climate associated with the North Atlantic Oscillation. Climatic Change, 36, 301-326.

Mandelbrot, B. B. (1977). The Fractal Geometry of Nature. W. H. Freeman and Company.

Müller, H. G. (1991). Smooth Optimum Kernel Estimators Near Endpoints. Biometrika, 78, 521-530.

Robinson, P. M. (2012). Nonparametric Trending Regression with Cross-Sectional Dependence. Journal of Econometrics, 169, 4-14.

Velichko, A.A., Borisova, O.K., Zelikson, E.M., Faure, H., Adams, J.M, Branchu, P., Faure-Denard, L. (1993). Greenhouse warming and the Eurasian biota: are there any lessons from the past? Global and Planetary Change, 7, 51-67.

Yue, T. X., Zhao, N., Ramsey, D. R., Wang, C. L., Fan, Z. M., Chen, C.F., Lu, Y.M., Li, B.L. (2013). Climate Change Trend in China, with improved accuracy. Climatic Change, 120, 137-151.

Zhang, Y., Su, L., & Phillips, P. (2012). Testing for Common Trends in Semiparametric Panel Data Models with Fixed Effects. Econometrics Journal, 15, 56-100

Downloads

Published

2015-11-20

How to Cite

Knoblauch, J. (2015). Estimating European Temperature Trends. Student Undergraduate Research E-Journal!, 1. https://doi.org/10.25609/sure.v1.1074

Issue

Section

Economics & Social Sciences