DOBROVOLNÝ, Petr, Rudolf BRÁZDIL, Hubert VALÁŠEK, Oldřich KOTYZA, Jarmila MACKOVÁ and Monika BĚLÍNOVÁ. A standard paleoclimatological approach to temperature reconstruction in historical climatology: an example from the Czech Republic, A.D. 1718-2007. International Journal of Climatology. 2009, vol. 29, No 10, p. 1478 - 1492. ISSN 0899-8418.
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Basic information
Original name A standard paleoclimatological approach to temperature reconstruction in historical climatology: an example from the Czech Republic, A.D. 1718-2007
Name in Czech Standardní paleoklimatologický přístup k rekonstrukci klimatu v historické klimatologii: příklad z České republiky, 1718-2007
Authors DOBROVOLNÝ, Petr (203 Czech Republic, guarantor), Rudolf BRÁZDIL (203 Czech Republic), Hubert VALÁŠEK (203 Czech Republic), Oldřich KOTYZA (203 Czech Republic), Jarmila MACKOVÁ (203 Czech Republic) and Monika BĚLÍNOVÁ (203 Czech Republic).
Edition International Journal of Climatology, 2009, 0899-8418.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10500 1.5. Earth and related environmental sciences
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 2.347
RIV identification code RIV/00216224:14310/09:00036377
Organization unit Faculty of Science
UT WoS 000269401000011
Keywords (in Czech) documentary data ; temperature indices; linear regression model; temperature reconstruction; Prague Klementinum; Czech Republic
Keywords in English documentary data ; temperature indices; linear regression model; temperature reconstruction; Prague Klementinum; Czech Republic
Tags International impact, Reviewed
Changed by Changed by: prof. RNDr. Petr Dobrovolný, CSc., učo 680. Changed: 7/8/2009 21:38.
Abstract
This paper addresses a standard paleoclimatological approach to reconstructing temperatures in historical climatology. Weighted monthly temperature indices on a scale from - 3 to + 3, derived from documentary evidence for the period 1718-1850 in the Czech Lands, were used to create a series of seasonal (DJF, MAM, JJA, SON) and annual temperature indices as simple sums of indices from corresponding months. The period 1771-1850, when such indices overlap with instrumental measurements taken at Prague-Klementinum, was used to calibrate and verify relations between indices and the temperatures measured, using linear regression models (LRM) evaluated by various statistical characteristics. The most accurate LRM performance was obtained for DJF, MAM and annual temperatures, while JJA and SON temperature results proved slightly less reliable. Reconstructed data for 1718-1770 were combined with measured data to create series of seasonal and annual temperatures for the Prague-Klementinum station covering the period 1718-2007. Various problems in temperature reconstruction are further discussed: the completeness and quality of the index series, the expression of extreme temperatures, and the selection of a reference period for calibration. The suggested standard paleoclimatological approach lends more objectivity to both verification of reconstructed temperatures and the expression of uncertainties in reconstruction.
Abstract (in Czech)
This paper addresses a standard paleoclimatological approach to reconstructing temperatures in historical climatology. Weighted monthly temperature indices on a scale from - 3 to + 3, derived from documentary evidence for the period 1718-1850 in the Czech Lands, were used to create a series of seasonal (DJF, MAM, JJA, SON) and annual temperature indices as simple sums of indices from corresponding months. The period 1771-1850, when such indices overlap with instrumental measurements taken at Prague-Klementinum, was used to calibrate and verify relations between indices and the temperatures measured, using linear regression models (LRM) evaluated by various statistical characteristics. The most accurate LRM performance was obtained for DJF, MAM and annual temperatures, while JJA and SON temperature results proved slightly less reliable. Reconstructed data for 1718-1770 were combined with measured data to create series of seasonal and annual temperatures for the Prague-Klementinum station covering the period 1718-2007. Various problems in temperature reconstruction are further discussed: the completeness and quality of the index series, the expression of extreme temperatures, and the selection of a reference period for calibration. The suggested standard paleoclimatological approach lends more objectivity to both verification of reconstructed temperatures and the expression of uncertainties in reconstruction.
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