The Importance of Long Climate Records (Second Edition)

A special issue of Climate (ISSN 2225-1154).

Deadline for manuscript submissions: 30 November 2025 | Viewed by 4558

Special Issue Editors


grade E-Mail Website
Guest Editor
National Research Council of Italy Institute of Atmospheric Sciences and Climate, Padua, Italy
Interests: climate change; indoor and outdoor microclimate; cultural heritage
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Institute of Polar Sciences (ISP) of the National Research Council (CNR) of Italy, c/o Campus Ca' Foscari, University of Venice, Via Torino 155, 30172 Venezia Mestre, VE, Italy
Interests: atmospheric physics; climatology and microclimatology; climate change; recovery and correction of meteorological series; polar sciences; radiation variability in the Arctic, Antarctic and remote areas

E-Mail
Guest Editor
Institute of Atmospheric Sciences and Climate (ISAC) of the National Research Council (CNR) of Italy, Corso Stati Uniti 4, 35127 Padova, Italy
Interests: atmospheric physics; climatology; historic climatology; climate change; microclimate for conservation of cultural heritage

Special Issue Information

Dear Colleagues,

It is pertinent to celebrate past weather records, as they are vital in helping us identify aspects of climate change. The earliest temperature records and international network of meteorological observations, the Rete Medicea, started in 1654, founded by Ferdinand II de’ Medici, the Grand-Duke of Tuscany. Other international networks were organized by the Royal Society, London, in 1723, the Societé Royale de Médecine, Paris, in 1778, and the Societas Meteorologica Palatina, Mannheim, in 1781. Long records help us test hypotheses concerning climate change, where the pattern of change is slow and subtle, as well as new hypotheses when the beginning of a certain set of weather readings is unknown. They help us calibrate proxy series and transform and express them in normal units of temperature, precipitation, or other weather variables, thus extending our knowledge back in time, up until the pre-instrumental period. Early instrumental data are fundamental in reducing uncertainties and better knowing trends, accelerations, and both past and present changes in the climate, including the transition from the Little Ice Age to the pre-industrial situation and present-day global warming. Then, they can also be used to verify climate models, determine risk from extreme events, and improve future climate projections.

However, in the early instrumental period, records were scarce and taken using non-standard instruments and protocols. Methods, observing times, and exposures were different, and, in most cases, metadata are missing. Some international meteorological networks helped researchers adopt uniform practices and instruments. A turning point was reached in 1873, when the International Meteorological Committee was established to coordinate observing methods and protocols, substituted in 1950 by the World Meteorological Organization. The first challenge facing our field is to find and rescue data and metadata in a process whereby original records are catalogued and imaged. Data rescue includes copying, digitizing, archiving, and making early records usable, in cases where the originals were either handwritten, printed, or in graphical form. The next challenge is to recover them by deciphering, interpreting, and transforming early instrumental readings and their metadata to obtain high-quality datasets in modern units. After this process, an early series is ready for analysis to investigate the climate or conduct other studies.

This Special Issue will provide examples of climate change identification across a wide spectrum of weather observations, from temperature, precipitation, and sunshine to atmospheric pressure, wind, snow and ice, visibility, and fog. It will also encourage the discussion of metadata to show that each weather station needs to have strong accompanying records if they are to prove useful in the years and decades to come. In cases where significant changes have occurred and, typically, for all data recorded before the standardization which started with the foundation of the International Meteorological Committee in 1873, homogenization techniques must be employed. Examples of data rescue and recovery will hopefully be included in this Special Issue, as well as the following topics:

  • climate change;
  • metadata;
  • early instruments and screens;
  • early observation protocols;
  • transformation from early units and time references (e.g., day starting from twilight or from the apparent solar time (AST) to the coordinated universal time (UTC));
  • data homogenization;
  • proxy and instrumental data calibration, rescue, and recovering.

Prof. Dr. Dario Camuffo
Dr. Francesca Becherini
Dr. Antonio della Valle
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Climate is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • long weather records
  • climate change
  • metadata
  • homogenization
  • case studies from stations with century-scale records
  • recovery of early instrumental observations (e.g., 17th century, 18th century, and first half of the 19th century)
  • early instruments, protocols, calibrations, and units
  • instrumental and proxy data rescue and recovery
  • calibration of proxy and instrumental data

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Related Special Issue

Published Papers (3 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

21 pages, 7053 KB  
Article
Seasonal Regime Shifts and Warming Trends in the Universal Thermal Climate Index over the Italian and Iberian Peninsulas (1940–2024)
by Gabriel I. Cotlier and Juan Carlos Jimenez
Climate 2025, 13(9), 184; https://doi.org/10.3390/cli13090184 - 6 Sep 2025
Viewed by 535
Abstract
This study investigates long-term changes in thermal comfort across the Italian and Iberian Peninsulas from 1940 to 2024, using the Universal Thermal Climate Index (UTCI) derived from ERA5-HEAT reanalysis. We apply a dual analytical framework combining structural break detection to identify regime shifts [...] Read more.
This study investigates long-term changes in thermal comfort across the Italian and Iberian Peninsulas from 1940 to 2024, using the Universal Thermal Climate Index (UTCI) derived from ERA5-HEAT reanalysis. We apply a dual analytical framework combining structural break detection to identify regime shifts and Sen’s slope estimation with confidence intervals to quantify monotonic trends. Results reveal pronounced seasonal asymmetries. Summer exhibits abrupt regime shifts in both regions: in 1980 for Italy (slope shifting from −0.039 °C/year before 1980 to +0.06 °C/year after) and 1978 for Iberia (from −0.054 °C/year to +0.050 °C/year). Winter, by contrast, shows no structural breaks but a persistent, spatially uniform warming trend of ~0.030–0.033 °C/year across the 1940–2024 period, consistent with a gradual erosion of cold stress. Transitional seasons display more nuanced responses. Spring reveals detectable breakpoints in 1987 for Italy (shifting from −0.028 °C/year to +0.027 °C/year) and 1986 for Iberia (from −0.047 °C/year to +0.024 °C/year), indicating the early acceleration of warming. Autumn shows a breakpoint in 1970 for Italy, with trends intensifying from +0.011 °C/year before to +0.052 °C/year after, while Iberia exhibits no clear breakpoint but a consistent positive slope. These findings highlight spring as an early-warning season, where warming acceleration first emerges, and autumn as a consolidating phase that extends summer-like heat into later months. Overall, the results demonstrate that Mediterranean thermal regimes evolve through both abrupt and gradual processes, with summer defined by non-linear regime shifts, winter by steady accumulation of warming, and spring and autumn by transitional dynamics that bridge these extremes. The methodological integration of breakpoint detection with Sen’s slope estimation provides a transferable framework for detecting climate regime transitions in other vulnerable regions under accelerated global warming. Full article
(This article belongs to the Special Issue The Importance of Long Climate Records (Second Edition))
Show Figures

Figure 1

24 pages, 4982 KB  
Article
Climate Change in the Porto Region (Northern Portugal): A 148 Years Study of Temperature and Precipitation Trends (1863–2010)
by Leonel J. R. Nunes
Climate 2025, 13(9), 175; https://doi.org/10.3390/cli13090175 - 27 Aug 2025
Viewed by 861
Abstract
This study presents a comprehensive analysis of climate evolution in the Porto region (Northern Portugal) using 148 years (1863–2010) of continuous meteorological data from the Serra do Pilar weather station (WMO station 08546). The research employs both traditional linear statistical methods and advanced [...] Read more.
This study presents a comprehensive analysis of climate evolution in the Porto region (Northern Portugal) using 148 years (1863–2010) of continuous meteorological data from the Serra do Pilar weather station (WMO station 08546). The research employs both traditional linear statistical methods and advanced non-linear analysis techniques, including polynomial trend fitting and multidecadal oscillation analysis, to accurately characterize long-term climate patterns. Results reveal that linear trend analysis is misleading for this dataset, as both temperature and precipitation follow parabolic (U-shaped) distributions with minima around 1910–1970. The early period (1863–1900) exhibited higher values than the recent period, contradicting linear trend interpretations. Advanced analysis shows that the mean temperature follows a parabolic pattern (R2 = 0.353) with the minimum around 1935, while precipitation exhibits similar behavior (R2 = 0.053) with the minimum around 1936. Multidecadal oscillations are detected with dominant periods of 46.7, 15.6, and 10.0 years for temperature, and 35.0, 17.5, and 4.5 years for precipitation. Maximum temperatures show complex oscillatory behavior with a severe drop around 1890. Seasonal analysis reveals distinct patterns across all seasons: winter (+0.065 °C/decade) and autumn (+0.059 °C/decade) show warming trends in maximum temperatures, while spring (−0.080 °C/decade) and summer (−0.079 °C/decade) demonstrate cooling trends in minimum temperatures, with no significant trends in spring (+0.012 °C/decade) and summer (+0.003 °C/decade) maximum temperatures or winter (−0.021 °C/decade) and autumn (−0.035 °C/decade) minimum temperatures. The study identifies a significant change point in mean temperature around 1980, which occurs approximately one decade earlier than the global warming acceleration typically observed in the 1990s, suggesting regional Atlantic influences may precede global patterns. Extreme event analysis indicates stable frequencies of hot days (averaging 3.6 days/year above 25.0 °C) and heavy precipitation events (averaging 1.2 days/year above 234.6 mm) throughout the study period. These findings demonstrate that the Porto region’s climate is characterized by natural multidecadal variability rather than monotonic trends, with the climate system showing oscillatory behavior typical of Atlantic-influenced coastal regions. The results contribute to understanding regional climate variability and provide essential baseline data for climate change adaptation strategies in Northern Portugal. The results align with broader patterns of natural climate variability in the Iberian Peninsula while highlighting the importance of non-linear analysis for comprehensive climate assessment. Full article
(This article belongs to the Special Issue The Importance of Long Climate Records (Second Edition))
Show Figures

Figure 1

23 pages, 11213 KB  
Article
Three-Century Climatology of Cold and Warm Spells and Snowfall Events in Padua, Italy (1725–2024)
by Claudio Stefanini, Francesca Becherini, Antonio della Valle and Dario Camuffo
Climate 2025, 13(4), 70; https://doi.org/10.3390/cli13040070 - 30 Mar 2025
Viewed by 2393
Abstract
Regular meteorological observations in Padua started in 1725 and have continued unbroken up to the present, making the series one of the longest in the world. Daily mean temperatures and precipitation amounts have recently been homogenized for the entire 1725–2024 period, making it [...] Read more.
Regular meteorological observations in Padua started in 1725 and have continued unbroken up to the present, making the series one of the longest in the world. Daily mean temperatures and precipitation amounts have recently been homogenized for the entire 1725–2024 period, making it possible to add new measurements without further work. Starting from the temperature series, the trends of cold and warm spells are investigated in this paper. The ongoing warming that started in the 1970s is extensively analyzed on the basis of the variability of the mean values and a magnitude index that captures both the duration and intensity of a spell and by investigating the frequency of extreme events by means of Intensity–Duration–Frequency curves. The periods with the greatest deviation from the climatological average are analyzed in detail: February 1740 and April 1755, the months with the largest negative and positive temperature anomalies, respectively, in the 300-year-long series. Moreover, the analysis of snow occurrences extracted from the original logs, together with the pressure observations from the long series of London and Uppsala, made it possible to evaluate the most typical synoptic situations leading to snow events in Padua for the whole period. Full article
(This article belongs to the Special Issue The Importance of Long Climate Records (Second Edition))
Show Figures

Figure 1

Back to TopTop