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Atmosphere
Special Issues
State-of-the-Art in Climate Trends Analysis
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State-of-the-Art in Climate Trends Analysis

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Climatology".

Deadline for manuscript submissions: closed (17 August 2022) | Viewed by 4624

Special Issue Editors

Dr. Katerina Pantavou

E-Mail Website
Guest Editor
Laboratory of General and Agricultural Meteorology, Department of Crop Sciences, Agricultural University of Athens, Iera Odos St. 75, 11855 Athens, Greece
Interests: meta-analysis; biostatistics; biometeorology; environmental physics; air pollution; epidemiology
Dr. Kostas Philippopoulos

E-Mail Website
Guest Editor
Department of Physics, National and Kapodistrian University of Athens, 157 72 Athens, Greece
Interests: climate; renewable energy; machine learning; neural networks; urban environment

Special Issue Information

Dear Colleagues,

According to the latest Intergovernmental Panel on Climate Change (IPCC) Report (2021), “It is unequivocal that human influence has warmed the atmosphere, ocean and land. Widespread and rapid changes in the atmosphere, ocean, cryosphere and biosphere have occurred”.

The purpose of the Special Issue is to provide a comprehensive collection of research and review articles in the field of climate sciences, focusing on observed and future trends on global, regional, and local scales. Key findings concerning anthropogenic climate change and details of research achievements in the trend analysis of climate time series are particularly welcome. Trend analysis research findings from observational datasets, remote sensing data, and climate model projections are examples of possible contributions to this Special Issue.

The Special Issue’s focus includes, and is not limited to, a) trend analysis tools and methods, including machine learning and artificial intelligence techniques; b) observed and future climate trends; c) the detection, estimation, and prediction of trends from spatio-temporal climate records; d) trends in extreme climate events and in climate change indices.

Special attention will be given to the effect of climate variability on health and well-being, and we welcome contributions related to the impact of recent climate trends on morbidity and mortality from a wide range of epidemiological studies. This Special Issue welcomes submissions that support the advancement of the UN Sustainable Development Goals. 

Dr. Katerina Pantavou
Dr. Kostas Philippopoulos
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. Atmosphere 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 2400 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.

Published Papers (2 papers)

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Research

22 pages, 955 KiB  
Article
Climate Change Trends in a European Coastal Metropolitan Area: Rainfall, Temperature, and Extreme Events (1864–2021)
by Luis Angel Espinosa, Maria Manuela Portela, José Pedro Matos and Salem Gharbia
Atmosphere 2022, 13(12), 1995; https://doi.org/10.3390/atmos13121995 - 28 Nov 2022
Cited by 12 | Viewed by 2655
Abstract
This paper summarises an updated climate change trends analysis—developed for the period from 1 October 1864 to 30 September 2021 within the scope of a Horizon 2020-funded project to increase climate resilience in European coastal cities—for a representative site of the Lisbon Metropolitan [...] Read more.
This paper summarises an updated climate change trends analysis—developed for the period from 1 October 1864 to 30 September 2021 within the scope of a Horizon 2020-funded project to increase climate resilience in European coastal cities—for a representative site of the Lisbon Metropolitan Area (Portugal). By using long ground-based daily records of rainfall and surface temperature at the Lisboa-Geofísico climatological station, the analysis aimed to identify (i) long-term and recent climate trends in rainfall and temperature, (ii) changes in extreme rainfalls, heatwaves, and droughts, and (iii) possible effects of the coupled changes of minimum and maximum daily temperatures (Tmin and Tmax, respectively) on drought development based on the diurnal temperature range (DTR) indicator. To detect these trends and quantify their magnitude, the Mann−Kendall and Sen’s slope estimator tests were implemented. The analysis of the mean annual temperatures indicated that the study area has warmed ∼1.91 °C through the 157 analysed years. Results evidenced statistically significant upward trends in both Tmin and Tmax, and in the number of Tmax heatwave days. In what concerns the extreme hydrological events, the analysis of annual maximum rainfall series and peaks-over-threshold (POT) techniques showed more frequent and intense events in recent years, reaching up to ∼120.0 mm in a single day. With regard to drought, the study proved that the characterisation based on the commonly used standardised precipitation index (SPI) might differ from that based on the standardised precipitation evapotranspiration index (SPEI), as the latter can take into account not only rainfall but also temperature, an important trigger for the development of drought. According to the SPEI index, severe and extreme drought conditions have been more frequent in the last 60 years than in any other recorded period. Finally, a decreasing DTR trend towards the present was found to influence evapotranspiration rates and thus drought characteristics. Full article
(This article belongs to the Special Issue State-of-the-Art in Climate Trends Analysis)
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16 pages, 3366 KiB  
Article
Major Contribution of Halogenated Greenhouse Gases to Global Surface Temperature Change
by Qing-Bin Lu
Atmosphere 2022, 13(9), 1419; https://doi.org/10.3390/atmos13091419 - 02 Sep 2022
Cited by 4 | Viewed by 1504
Abstract
This paper aims to better understand why there was a global warming pause in 2000–2015 and why the global mean surface temperature (GMST) has risen again in recent years. We present and statistically analyze substantial time-series observed datasets of global lower-stratospheric temperature (GLST), [...] Read more.
This paper aims to better understand why there was a global warming pause in 2000–2015 and why the global mean surface temperature (GMST) has risen again in recent years. We present and statistically analyze substantial time-series observed datasets of global lower-stratospheric temperature (GLST), troposphere–stratosphere temperature climatology, global land surface air temperature, GMST, sea ice extent (SIE) and snow cover extent (SCE), combined with modeled calculations of GLSTs and GMSTs. The observed and analyzed results show that GLST/SCE has stabilized since the mid-1990s with no significant change over the past two and a half decades. Upper-stratospheric warming at high latitudes has been observed and GMST or global land surface air temperature has reached a plateau since the mid-2000s with the removal of natural effects. In marked contrast, continued drastic warmings at the coasts of polar regions (particularly Russia and Alaska) are observed and well explained by the sea-ice-loss warming amplification mechanism. The calculated GMSTs by the parameter-free quantum-physics warming model of halogenated greenhouse gases (GHGs) show excellent agreement with the observed GMSTs after the natural El Niño southern oscillation and volcanic effects are removed. These results have provided strong evidence for the dominant warming mechanism of anthropogenic halogenated GHGs. The results also call for closer scrutiny of the assumptions made in current climate models. Full article
(This article belongs to the Special Issue State-of-the-Art in Climate Trends Analysis)
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