Early Portuguese meteorological measurements (18th century)

被引:54
作者
Alcoforado, M. J. [1 ]
Vaquero, J. M. [2 ,3 ]
Trigo, R. M. [3 ,4 ]
Taborda, J. P. [5 ]
机构
[1] Univ Nova Lisboa, Ctr Estudos Geograf, IGOT, P-1699 Lisbon, Portugal
[2] Univ Extremadura, Dept Fis, Merida, Spain
[3] CGUL, Inst Dom Luiz IDL, Lisbon, Portugal
[4] Univ Lusofona, Dept Eng Civil, Lisbon, Portugal
[5] Escola Secundaria Gabriel Pereira, Evora, Portugal
关键词
NORTH-ATLANTIC OSCILLATION; DAILY AIR-TEMPERATURE; ATMOSPHERIC CIRCULATION; PRESSURE SERIES; CLIMATE; EUROPE; PRECIPITATION; VARIABILITY; RECONSTRUCTION; DOCUMENTARY;
D O I
10.5194/cp-8-353-2012
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Natural proxies, documentary evidence and instrumental data are the only sources used to reconstruct past climates. In this paper, we present the 18th century meteorologists (either Portuguese or foreigners) who made the first observations at several sites in Continental Portugal, Madeira Island and Rio de Janeiro (Brazil), from 1749 until 1802. Information is given concerning observation site, variables observed, measurement period, methods of measurements and sources (both manuscript and printed). Some examples from the data usefulness are given: rainfall variability in Madeira (1749-1753) and in continental Portugal (1781-1793) was reconstructed, allowing to extend towards the late 18th century the well known negative correlation between the NAO index and seasonal rainfall. Furthermore, previously unpublished data for 1783-1784 have allowed analysing the consequences of the Lakagigar eruption in Portugal: foggy and haze days are referred to in summer 1783, but unlike the hot summer observed in northern and central Europe, temperatures in Portugal were lower than average. Additionally, observations from Rio de Janeiro in Brazil show that the Lakagigar consequences may well have spread to sectors of the Southern Hemisphere. Although the series are short, the data have been used for climate reconstruction studies and may also be useful to improve the quality of large scale reconstruction datasets.
引用
收藏
页码:353 / 371
页数:19
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