Special Issue "Agrometeorology: From Scientific Analysis to Operational Application"
Deadline for manuscript submissions: closed (30 June 2013)
Prof. Dr. Josef Eitzinger
Institute of Meteorology of the Department of Water, Atmosphere and Environment, University of Natural Resources and Life Sciences (BOKU), Vienna, Gregor-Mendel Str. 33, A-1180 Vienna, Austria
Website | E-Mail
Interests: agricultural meteorology; agroclimatology; microclimatology; remote sensing in agricultural meteorology; simulation models (agro-ecosystems, crops)
Dr. Branislava Lalic
Faculty of Agriculture, University of Novi Sad, Serbia
Interests: modelling of forest-atmosphere interaction; Land-atmosphere processes (theory and modeling); boundary layer meteorology (theory and modeling); agrometeorological modelling; predicting the occurrence of plant diseases in agriculture; biometeorogical modelling
Prof. Dr. Levent Saylan
Department of Meteorology, Istanbul Technical University, 34469 Maslak, Istanbul, Turkey
Interests: agricultural meteorology; microclimatology; impacts of climate change on agriculture; energy and gas exchange between land and atmosphere; crop growth simulation models; evapotranspiration, drought
Agrometeorology is an interdisciplinary holistic science forming a real bridge between physical and biological sciences and beyond. It is dealing with a complex system involving soil, plant, atmosphere, agricultural management options and others, which are interacting dynamically on various spatial and temporal scales. In specific, the fully coupled soil-plant-atmosphere system has to be well understood in order to develop reasonable operational applications or recommendations for stakeholders.
For these reasons a comprehensive analysis of cause-effect relationships and principles is necessary, that describe the influence of the state of the atmosphere, plants and soil on different aspects of agricultural production, as well as the nature and importance of feedbacks between these elements of the system.
Agrometeorological methods therefore use information and data from different key sciences such as soil physics and chemistry, hydrology, meteorology, crop and animal physiology and phenology, agronomy and others. Observed information is often combined in more or less complex models, focused on various components of system parts such as mass balances (i.e. soil carbon, nutrients and water), biomass production, crop growth and yield, crop or pest phenology in order to detect sensitivities or potential responses of the soil-biosphere-atmosphere system. However, model applications still involve many uncertainties, which call for further improvements of the description of system processes.
A better quality of operational applications at various scales (monitoring, forecasting, warning, recommendations, etc.) is crucial for stakeholders. For example, new methods for spatial applications involve GIS and Remote Sensing for spatial data presentation and generation. Further, tailor made products as well as information transfer are critical to allow effective management decisions in the short and long term. These should cover sustainability and enhancement strategies (including risk management, mitigation and adaptation) considering climate variability and change. We invite papers addressing these problems in the context of agrometeorological applications in “atmosphere” as an actual and important contribution to the state of the art.
Prof. Dr. Josef Eitzinger,
Dr. Branislava Lalic,
Prof. Dr. Levent Saylan
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 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.
- climate change
- crop model
- soil-plant-atmosphere processes
- operational agrometeorology
- monitoring, forecasting
- water balance
- carbon balance
- agrometeorological indices
- weather extremes