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Atmosphere
Special Issues
Atmosphere–Biosphere Interaction Monitoring and Modelling: Impact on Meteorological and Climate...
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Atmosphere–Biosphere Interaction Monitoring and Modelling: Impact on Meteorological and Climate Conditions at Small Scales

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Biosphere/Hydrosphere/Land–Atmosphere Interactions".

Deadline for manuscript submissions: closed (1 July 2021) | Viewed by 5066

Special Issue Editors

Prof. Dr. Branislava Lalić

E-Mail Website
Guest Editor
University of Novi Sad, Novi Sad, Serbia
Interests: biosphere–atmosphere interaction; dynamical modeling; efficacy of weather forecast application; agrometeorology
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Josef Eitzinger

E-Mail Website
Guest Editor
Institute of Meteorology and Climatology, University of Natural Resources and Life Sciences, Gregor-Mendel-Straße 33, 1180 Wien, Austria
Interests: agricultural meteorology; agroclimatology; microclimatology; remote sensing in agricultural meteorology; simulation models (agro-ecosystems, crops)
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We invite you to contribute original research articles, as well as review articles, dealing with all aspects of biosphere–atmosphere interaction measurement and modeling and its impact on weather and climate at small scales. Expected contributions include recent experimental and modeling works, techniques, and developments tailored to the assessment of the most important processes related to biosphere–atmosphere interaction and their effects in rural and urban microenvironments. In this Special Issue, particular attention will be devoted to micrometeorological measurements. Therefore, descriptions and reviews of long-term micrometeorological measurements in rural (including forests) and urban environments are welcome. We are also interested in reviews with possible future lines of research topics. Topics of interest include but are not limited to:

  • Seasonality of micrometeorological conditions;
  • parameterization of processes describing biosphere–atmosphere interaction;
  • Micrometeorological and biological observations;
  • Impact of biometeorological conditions on plant disease and harmful organism development;
  • Impact of plants/vegetation on urban microclimate;
  • Extreme temperature variation in presence of vegetation;
  • Micrometeorological measurements in rural and urban areas.

Prof. Dr. Branislava Lalić
Prof. Dr. Josef Eitzinger
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.

Keywords

  • Biosphere–atmosphere interaction
  • Micrometeorological and biological observations
  • Weather and climate sensitivity to biosphere-atmosphere exchange
  • Agro- and forest micrometeorology
  • Urban micrometeorology

Published Papers (2 papers)

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Research

22 pages, 4270 KiB  
Article
Maximum, Minimum, and Daily Air Temperature Range in Orchards: What Do Observations Reveal?
by Ana Firanj Sremac, Branislava Lalic, Joan Cuxart and Milena Marcic
Atmosphere 2021, 12(10), 1279; https://0-doi-org.brum.beds.ac.uk/10.3390/atmos12101279 - 30 Sep 2021
Cited by 5 | Viewed by 1670
Abstract
This study was designed to better understand vegetation’s impact on air maximum (Tmax), minimum (Tmin), and daily temperature range (DTR), as well as seasonality and variability. We selected a flat, under synoptic-scale, northern Serbian region with an operational network [...] Read more.
This study was designed to better understand vegetation’s impact on air maximum (Tmax), minimum (Tmin), and daily temperature range (DTR), as well as seasonality and variability. We selected a flat, under synoptic-scale, northern Serbian region with an operational network of automated weather stations (AWS) for the study. Data were collected directly from the eighteen AWSs placed in the orchard canopy during 2013–2018. Meteorological data, plant phenological data in the form of the BBCH scale, and orchards’ soil characteristics data were collected. Environmental factors influencing the temperature were classified as static (slow or unchangeable) and dynamic (fast-changing). The impact of both factors on maximum, minimum, and daily temperature range and its variability were analyzed. Results show that static factors (like soil texture) affect the annual variation of Tmax, Tmin, and DTR rather than its variability over the season. The dynamic factors, mainly coming from the plant’s phenology, substantially affected the seasonal variability of these variables. Studies like this suffer from missing data and sparse spatial coverage by the AWS network. Therefore, the alternatives of orchard micrometeorological data, nearest climatological station, and ERA5-Land reanalysis data are tested. Both data sets showcased limitations in their applicability, while reanalysis data deviated more from the in-situ measurements, both seasonally and regionally. Full article
(This article belongs to the Special Issue Atmosphere–Biosphere Interaction Monitoring and Modelling: Impact on Meteorological and Climate Conditions at Small Scales)
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36 pages, 10718 KiB  
Article
Simulation of Daily Mean Soil Temperatures for Agricultural Land Use Considering Limited Input Data
by Philipp Grabenweger, Branislava Lalic, Miroslav Trnka, Jan Balek, Erwin Murer, Carmen Krammer, Martin Možný, Anne Gobin, Levent Şaylan and Josef Eitzinger
Atmosphere 2021, 12(4), 441; https://0-doi-org.brum.beds.ac.uk/10.3390/atmos12040441 - 29 Mar 2021
Cited by 2 | Viewed by 2789
Abstract
A one-dimensional simulation model that simulates daily mean soil temperature on a daily time-step basis, named AGRISOTES (AGRIcultural SOil TEmperature Simulation), is described. It considers ground coverage by biomass or a snow layer and accounts for the freeze/thaw effect of soil water. The [...] Read more.
A one-dimensional simulation model that simulates daily mean soil temperature on a daily time-step basis, named AGRISOTES (AGRIcultural SOil TEmperature Simulation), is described. It considers ground coverage by biomass or a snow layer and accounts for the freeze/thaw effect of soil water. The model is designed for use on agricultural land with limited (and mostly easily available) input data, for estimating soil temperature spatial patterns, for single sites (as a stand-alone version), or in context with agrometeorological and agronomic models. The calibration and validation of the model are carried out on measured soil temperatures in experimental fields and other measurement sites with various climates, agricultural land uses and soil conditions in Europe. The model validation shows good results, but they are determined strongly by the quality and representativeness of the measured or estimated input parameters to which the model is most sensitive, particularly soil cover dynamics (biomass and snow cover), soil pore volume, soil texture and water content over the soil column. Full article
(This article belongs to the Special Issue Atmosphere–Biosphere Interaction Monitoring and Modelling: Impact on Meteorological and Climate Conditions at Small Scales)
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