David W P, Tapash D, Daniel R, et al. Probabilistic estimates of future changes in California temperature and precipitation using statistical and dynamical downscaling [J]. Climate Dynamics, 2012, 40:839-856.
[2]
Camuffo D. Errors in Early Temperature Series Arising from Changes in Style of Measuring Time, Sampling Schedule and Number of Observations [J]. Climatic Change, 2002, 53: 331-352.
[3]
Trewin B. Effects of Changes in Algorithms Used for the Calculation of Australian Mean Temperature [J]. Australian Meteorological Magazine, 2004, 53: 1-11.
Alexandersson H. A homogeneity test applied to precipitation data [J]. Journal of Climatology, 1986, 6: 661-675.
[6]
Gullett D W, Vincent L, Sajecki P J F. Testing for Homogeneity in Temperature Time Series at Canadian Climate Stations [J]. International Journal of Climatology, 1999, 19: 1375-1388.
[7]
Easterling D, Peterson T. A New Method for Detecting Undocumented Discontinuities in Climatological Time Series [J]. International Journal of Climatology, 1995, 15: 369-377.
[8]
Perreault L, Bernier J, Bobee B, et al. Bayesian change-point analysis in hydrometeorological time series [J]. Journal of Hydrology, 2000, 235: 221-241.
[9]
Vincent L A. A technique for the identification of inhomogeneities in Canadian temperature series [J]. Journal of Climatology, 1998, 11: 1094-1104.
[10]
Vincent L A, Zhang X, Bonsal B R, et al. Homogenization of daily temperatures over Canada [J]. Journal of Climate, 2002, 15 (11): 1322-1334.
[11]
Szentimrey T. Multiple analysis of series for homogenisation (MASH), in Proceedings of the Second seminar for Homogenisation of Surface Climatological Data, 720 WCDMP, No. 41, WMO-TD No. 962, 1999.
[12]
Szentimrey T. Multiple Analysis of Series for Homogenization (MASHv3.03). Hungarian Meteorological Service H-1525, P. O. Box 38, Budapest, Hungary, 2012.
[13]
Szentimrey T. The manual of Multiple Analysis of Series for Homogenization (MASH). Hungarian Meteorological Service, Budapest, Hungary. 2008. [Available from http://www.met.hu/ pages/seminars/seeera/index.htm].
[14]
Li Z, Yan Z W. Application of multiple analysis of series for homogenization (MASH) to Beijing daily temperature series 1960-2006 [J]. Advances in Atmospheric Sciences, 2010, 27 (4): 777-787.
[15]
Caussinus H, Lyazrhi F. Choosing a linear model with a random number of change-points and outliers [J]. Annals of the Institute of Statistical Mathematics, 1997, 49 (4): 761-775.
[16]
Domonkos P, Poza R, Efthymiadis D. Newest developments of ACMANT [J]. Advances in Science and Research, 2011, 6: 7-11.
[17]
Cleveland W S, Devlin S J. Locally-weighted fitting: An approach to fitting analysis by local fitting [J]. Journal of the American Statistical Association, 1988, 83: 596-610.
[18]
Della-Marta P M, Wanner H. A method of homogenizing the extremes and mean of daily temperature measurements [J]. Journal of Climate, 2006, 19(17): 4179-4197.
[19]
Hosking J R M. L-Moments: Analysis and Estimation of Distributions Using Linear Combinations of Order Statistics [J]. Journal of the Royal Statistical Society. Series B (Methodological), 1990, 52(1): 105-124.
[20]
Peterson T, Taylor M, Demeritte R, et al. Recent Changes in Climate Extremes in the Caribbean Region [J]. Journal of Geophysical Research (Atmospheres), 2002, 107: 4601-4601.
[21]
Parker D E. Effects of Changing Exposure of Thermometers at Land Stations [J]. International Journal of Climatology, 1994, 14: 1-31.
[22]
Nordli P O, Alexandersson H, Frich P. The Effect of Radiation Screens on Nordic Time Series of Mean Temperature [J]. International Journal of Climatology, 1997, 17: 1667-1681.
