Decoding the precision of historical temperature observations

Quarterly Journal of the Royal Meteorological Society

Volumn 141, Issue 693, 2015, Pages 2923-2933

  Rhines, Andrew ^a   Tingley, Martin P ^b   Mckinnon, Karen A ^a   Huybers, Peter ^a  

^a HARVARD UNIVERSITY   (United States)

^b PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

Instrumentation; Metadata; Precision; Quality control; Surface stations

Indexed keywords

ATMOSPHERIC TEMPERATURE; DATA HANDLING; DECODING; EARTH (PLANET); HIDDEN MARKOV MODELS; HUMIDITY CONTROL; MARKOV PROCESSES; METADATA; SURFACE PROPERTIES;

DECODING ALGORITHM; HISTORICAL OBSERVATION; INSTRUMENTATION; PRECISION; QUANTILE REGRESSION; SURFACE STATION; SURFACE TEMPERATURES; TEMPERATURE OBSERVATIONS;

QUALITY CONTROL;

MARKOV CHAIN; NUMERICAL MODEL; PRECISION; QUALITY CONTROL; SURFACE TEMPERATURE; TEMPERATURE PROFILE; TREND ANALYSIS;

EID: 84952299914     PISSN: 00359009     EISSN: 1477870X     Source Type: Journal    
DOI: 10.1002/qj.2612     Document Type: Article

References (38)

1. Al-Marzouki S. 2005. Are these data real? Statistical methods for the detection of data fabrication in clinical trials. Br. Med. J. 331: 267-270, doi: 10.1136/bmj.331.7511.267.
2. Austin JF, McConnell A. 1980. Two hundred years of the Six's self-registering thermometer. Notes Rec. R. Soc. 35: 49-65, doi: 10.1098/rsnr.1980.0004.
3. Bogdan M, Ghosh JK, Zak-Szatkowska M. 2008. Selecting explanatory variables with the modified version of the Bayesian information criterion. Qual. Reliab. Eng. Int. 24: 627-641, doi: 10.1002/qre.936.
4. Brohan P, Kennedy JJ, Harris I, Tett SFB, Jones PD. 2006. Uncertainty estimates in regional and global observed temperature changes: A new data set from 1850. J. Geophys. Res. 111: D12106, doi: 10.1029/2005jd006548.
5. Brohan P, Allan R, Freeman JE, Waple AM, Wheeler D, Wilkinson C, Woodruff S. 2009. Marine observations of old weather. Bull. Am. Meteorol. Soc. 90: 219-230, doi: 10.1175/2008bams2522.1.
6. Compo GP, Whitaker JS, Sardeshmukh PD. 2006. Feasibility of a 100-year reanalysis using only surface pressure data. Bull. Am. Meteorol. Soc. 87: 175-190.
7. Dempster AP, Laird NM, Rubin DB. 1977. Maximum likelihood from incomplete data via the EM algorithm. J. R. Statist. Soc. B 39: 1-38.
8. Durbin R, Eddy SR, Krogh A, Mitchison G. 1998. Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids. Cambridge University Press: Cambridge, UK.
9. Durre I, Vose RS, Wuertz DB. 2006. Overview of the integrated global radiosonde archive. J. Clim. 19: 53-68, doi: 10.1175/JCLI3594.1.
10. Durre I, Menne MJ, Gleason BE, Houston TG, Vose RS. 2010. Comprehensive automated quality assurance of daily surface observations. J. Appl. Meteorol. 49: 1615-1633, doi: 10.1175/2010JAMC2375.1.
11. Durtschi C, Hillison W, Pacini C. 2004. The effective use of Benford's law to assist in detecting fraud in accounting data. J. Forensic Acc. 5: 17-34.
12. Feng S, Hu Q, Qian W. 2004. Quality control of daily meteorological data in China, 1951-2000: A new dataset. Int. J. Climatol. 24: 853-870, doi: 10.1002/joc.1047.
13. Figueroa SA. 1995. When is double rounding innocuous?. ACM SIGNUM Newsletter 30: 21-26.
14. Forney GDJr. 1973. The Viterbi algorithm. Proc. IEEE 61: 268-278.
15. Jost L. 2006. Entropy and diversity. Oikos 113: 363-375, doi: 10.1111/j.2006.0030-1299.14714.x.
16. Karl TR, Williams CN. 1987. An approach to adjusting climatological time series for discontinuous inhomogeneities. J. Clim. Appl. Meteorol. 26: 1744-1763, doi: 10.1175/1520-0450(1987)026<1744:aatact>2.0.co;2.
17. Koenker R, Bassett GJr. 1978. Regression quantiles. Econometrica 46: 33-50.
18. Lin J. 1991. Divergence measures based on the Shannon entropy. IEEE Trans. Inf. Theory 37: 145-151, doi: 10.1109/18.61115.
19. Lund R, Reeves J. 2002. Detection of undocumented changepoints: A revision of the two-phase regression model. J. Clim. 15: 2547-2554, doi: 10.1175/1520-0442(2002)015<2547:doucar>2.0.CO;2.
20. Machado JAF, Silva JS. 2005. Quantiles for counts. J. Am. Stat. Assoc. 100: 1226-1237, doi: 10.1198/016214505000000330.
21. Menne MJ, Williams CNJr. 2009. Homogenization of temperature series via pairwise comparisons. J. Clim. 22: 1700-1717, doi: 10.1175/2008JCLI2263.1.
22. Menne MJ, Williams CN, Vose RS. 2009. The US historical climatology network monthly temperature data, version 2. Bull. Am. Meteorol. Soc. 90: 993-1007, doi: 10.1175/2008bams2613.1.
23. Menne MJ, Durre I, Vose RS, Gleason BE, Houston TG. 2012. An overview of the global historical climatology network-daily database. J. Atmos. Ocean Tech. 29: 897-910, doi: 10.1175/JTECH-D-11-00103.1.
24. Muller RA, Wurtele J, Rohde R, Jacobsen R, Perlmutter S. 2013. Earth atmospheric land surface temperature and station quality in the contiguous United States. Geoinfor. Geostat. 1: 1-6, doi: 10.4172/2327-4581.1000107.
25. Nese JM. 1994. Systematic biases in manual observations of daily maximum and minimum temperature. J. Clim. 7: 834-842, doi: 10.1175/1520-0442(1994)007<0834:sbimoo>2.0.CO;2.
26. Preece DA. 1981. Distributions of final digits in data. J. R. Stat. Soc. 30: 31-60.
27. Rabiner LR. 1989. A tutorial on hidden Markov models and selected applications in speech recognition. Proc. IEEE 77: 257-286, doi: 10.1109/5.18626.
28. Razuvaev VN, Apasova EG, Martuganov RA. 2008. 'Daily temperature and precipitation data for 223 former-USSR stations'. Technical report ORNL/CDIAC-56, NDP-040. Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, US Department of Energy: Oak Ridge, TN.
29. Reek T, Doty SR, Owen TW. 1992. A deterministic approach to the validation of historical daily temperature and precipitation data from the cooperative network. Bull. Am. Meteorol. Soc. 73: 753-762, doi: 10.1175/1520-0477(1992)073<0753:adattv>2.0.CO;2.
30. Reich BJ, Smith LB. 2013. Bayesian quantile regression for censored data. Biometrics 69: 651-660, doi: 10.1111/biom.12053.
31. Rhines A. 2015. 'A MATLAB implementation of the precision-decoding algorithm and estimated precision for the GHCND'. http://www.stochtastic.com/ghcnd.html (accessed 20 July 2015).
32. Schwarz G. 1978. Estimating the dimension of a model. Ann. Statist. 6: 461-464, doi: 10.1214/aos/1176344136.
33. Thorne PW, Willett KM, Allan RJ, Bojinski S, Christy JR, Fox N, Gilbert S, Jolliffe I, Kennedy JJ, Kent E. 2011. Guiding the creation of a comprehensive surface temperature resource for twenty-first-century climate science. Bull. Am. Meteorol. Soc. 92: ES40-ES47, doi: 10.1175/2011bams3124.1.
34. Torok S, Nicholls N. 1996. A historical annual temperature dataset for Australia. Aust. Meteorol. Mag. 45: 251-260.
35. Wang K. 2014. Sampling biases in datasets of historical mean air temperature over land. Nature Sci. Rep. 4: 4637, doi: 10.1038/srep04637.
36. Woodworth PL, Player R. 2003. The permanent service for mean sea level: An update to the 21st century. J. Coastal Res. 19: 287-295.
37. Worley SJ, Woodruff SD, Reynolds RW, Lubker SJ, Lott N. 2005. ICOADS release 2.1 data and products. Int. J. Climatol. 25: 823-842, doi: 10.1002/joc.1166.
38. Zhang X, Zwiers FW, Hegerl G. 2009. The influences of data precision on the calculation of temperature percentile indices. Int. J. Climatol. 29: 321-327, doi: 10.1002/joc.1738.