A standard paleoclimatological approach to temperature reconstruction in historical climatology: an example from the Czech Republic, A.D. 1718-2007

DOBROVOLNÝ, Petr, Rudolf BRÁZDIL, Hubert VALÁŠEK, Oldřich KOTYZA, Jarmila MACKOVÁ a 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, roč. 29, č. 10, s. 1478 - 1492. ISSN 0899-8418.

Základní údaje

Originální název

A standard paleoclimatological approach to temperature reconstruction in historical climatology: an example from the Czech Republic, A.D. 1718-2007

Název česky

Standardní paleoklimatologický přístup k rekonstrukci klimatu v historické klimatologii: příklad z České republiky, 1718-2007

Autoři

DOBROVOLNÝ, Petr (203 Česká republika, garant), Rudolf BRÁZDIL (203 Česká republika), Hubert VALÁŠEK (203 Česká republika), Oldřich KOTYZA (203 Česká republika), Jarmila MACKOVÁ (203 Česká republika) a Monika BĚLÍNOVÁ (203 Česká republika)

Vydání

International Journal of Climatology, 2009, 0899-8418

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Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10500 1.5. Earth and related environmental sciences

Stát vydavatele

Česká republika

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 2.347

Kód RIV

RIV/00216224:14310/09:00036377

Organizační jednotka

Přírodovědecká fakulta

UT WoS

000269401000011

Klíčová slova česky

documentary data ; temperature indices; linear regression model; temperature reconstruction; Prague Klementinum; Czech Republic

Klíčová slova anglicky

documentary data ; temperature indices; linear regression model; temperature reconstruction; Prague Klementinum; Czech Republic

Příznaky

Mezinárodní význam, Recenzováno

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Anotace

V originále

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.

Česky

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.