Seascorr: A MATLAB program for identifying the seasonal climate signal in an annual tree-ring time series

Computers and Geosciences

Volumn 37, Issue 9, 2011, Pages 1234-1241

  Meko, D M ^a   Touchan, R ^a   Anchukaitis, K J ^b  

^a UNIVERSITY OF ARIZONA   (United States)

^b Department of Earth and Environmental Sciences   (United States)

Author keywords

Dendroclimatology; Exact simulation; Paleoclimatology; Tree growth; Tunisia

Indexed keywords

DENDROCLIMATOLOGY; EXACT SIMULATION; PALEOCLIMATOLOGY; TREE GROWTH; TUNISIA;

CLIMATOLOGY; COMPUTER SIMULATION; HIGH ENERGY PHYSICS; MATLAB; MONTE CARLO METHODS; STATISTICAL MECHANICS; TIME SERIES;

PLANT EXTRACTS;

CLIMATE SIGNAL; CLIMATE VARIATION; DENDROCLIMATOLOGY; MONTE CARLO ANALYSIS; NUMERICAL METHOD; PALEOCLIMATE; TIME SERIES ANALYSIS;

RUSSIAN FEDERATION; TUNISIA;

EID: 80051574494     PISSN: 00983004     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cageo.2011.01.013     Document Type: Article

References (29)

1. Biondi F. Are climate-tree growth relationships changing in north-central Idaho?. Arctic and Alpine Research 2000, 32:111-116.
2. Biondi F., Waikul K. Dendroclim2002: a C++ program for statistical calibration of climate signals in tree-ring chronologies. Computers and Geosciences 2004, 30:303-311.
3. Bloomfield, P., 2000. Fourier Analysis of Time Series: An Introduction, second ed., Wiley, New York, 261 pp.
4. Briffa K.R., Shishov V.V., Melvin T.M., Vaganov E.A., Grudd H., Hantemirov R.M., Eronen M., Naurzbaev M.M. Trends in recent temperature and radial tree growth spanning 2000 years across northwest Eurasia. Philosophical Transactions of the Royal Society B 2008, 363:2271-2284.
5. Brohan P., Kennedy J.J., Harris I., Tett S.F.B., Jones P.D. Uncertainty estimates in regional and global observed temperature changes: a new data set from 1850. Journal of Geophysical Research 2006, 111. (D12106).
6. Chatfield, C., 2004. The Analysis of Time Series: An Introduction, sixth ed., Chapman & Hall, CRC, New York, 327 pp.
7. Conover, W., 1980. Practical Nonparametric Statistics, second ed., Wiley, New York, 493 pp.
8. Cook, E.R., 1985. A time series analysis approach to tree-ring standardization. Ph.D. dissertation, The University of Arizona, Tucson, 171 pp.
9. Cook E.R., Seager R., Cane M.A., Stahle D.W. North American drought: reconstructions causes and consequences. Earth Science Review 2007, 81:93-134.
10. D'Arrigo R., Wilson R., Liepert B., Cherubini P. On the divergence problem in northern forests: A review of the tree-ring evidence and possible causes. Global and Planetary Change 2008, 60(3-4):289-305.
11. Dawdy D.R., Matalas N.C. Statistical and probability analysis of hydrologic data, part III analysis of variance, covariance and time series. Handbook of Applied Hydrology: A Compendium of Water-Resources Technology 1964, 8.69-8.90. McGraw-Hill Book Company, New York.
12. Dietrich C.R., Newsam G.N. Fast and exact simulation of stationary Gaussian processes through circulant embedding of the covariance matrix. SIAM Journal on Scientific Computing 1997, 18(4):1088-1107.
13. Fritts H.C. Tree Rings and Climate 1976, Academic Press, London, 567 pp.
14. Fritts H.C. Precon Version 5.1: A Statistical Model for Analyzing the Tree-Ring Response to Variations in Climate, Laboratory of Tree-Ring Research 1999, University of Arizona, Tucson, AZ.
15. Fritts H.C., Blasing T.J., Hayden B.P., Kutzbach J.E. Multivariate techniques for specifying tree-growth and climate relationships and for reconstructing anomalies in paleoclimate. Journal of Applied Meteorology 1971, 10(5):845-864.
16. Guiot J. The bootstrapped response function. Tree-Ring Bulletin 1991, 51:39-41.
17. Guiot, J., Berger, A.L., Munaut, A.V., 1982. Response functions. In: Hughes, M.K., Kelly, P.M., Pilcher, J.R., LaMarche Jr., V.C. (Eds.), Climate from Tree Rings, Cambridge University Press, Cambridge, UK, pp. 38-47.
18. Hantemirov R.M., Shiyatov S.G. A continuous multimillennial ring-width chronology in Yamal, northwestern Siberia. The Holocene 2002, 12(6):717-726.
19. Mardia K., Kent J., Bibby J. Multivariate Analysis 1979, Academic Press, London, 518 pp.
20. Mitchell T., Jones P. An improved method of constructing a database of monthly climate observations and associated high-resolution grids. International Journal of Climatology 2005, 25:693-712.
21. Panofsky H.A., Brier G.W. Some Applications of Statistics to Meteorology 1968, The Pennsylvania State University, University Park, Pennsylvania, 224 pp.
22. Percival D.B., Constantine W.L.B. Exact simulation of Gaussian time series from nonparametric spectral estimates with application to bootstrapping. Statistics and Computing 2006, 16:25-35.
23. Schneider T. Analysis of incomplete climate data: estimation of mean values and covariance matrices and imputation of missing values. Journal of Climate 2001, 14:853-871.
24. Snedecor, G.W., Cochran, W.G., 1989. Statistical Methods, eighth ed., Iowa State University Press, Ames, IA, 503 pp.
25. Stedinger J.R., Vogel R.M., Foufoula-Georgiou E. Frequency analysis of extreme events. Handbook of Hydrology 1992, 1-66. McGraw-Hill, Inc., New York, (Chapter 18).
26. Touchan R., Meko D.M., Aloui A. Precipitation reconstruction for northwestern Tunisia from tree rings. Journal of Arid Environments 2008, 72(10):1887-1896.
27. Visser H., Molenaar A. Kalman filter analysis in dendroclimatology. Biometrics 1988, 44:929-940.
28. Wilks D.S. Statistical methods in the atmospheric sciences. International Geophysics Series 1995, vol. 59. Academic Press, San Diego, 467 pp.
29. Woodhouse C.A., Gray S.T., Meko D.M. Updated streamflow reconstructions for the Upper Colorado River Basin. Water Resources Research 2006, 42(W05415). doi: 10.1029/2005WR004455.