Computational Tools and Methods in Agroclimatology and Biometeorology
A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Biometeorology and Bioclimatology".
Deadline for manuscript submissions: 31 July 2025 | Viewed by 112
Special Issue Editor
Interests: bioclimatology; agrometeorology; big environmental data analysis; R-language
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Computational tools and methods play a vital role in agroclimatology and biometeorology, facilitating the analysis of climate data and their impact on biological factors. These tools vary from software applications (Python and R packages) for data analysis and modeling frameworks that help predict agricultural outcomes under varying weather/climatic conditions to web-based mobile applications for communication with the farmers or the citizens of an urban area.
Moreover, an essential part of this topic is the modeling of crops and other biological factors such as humans and animals. This process-oriented crop model simulates the effects of climatic variables on crop yields. These models have been refined over decades to integrate crucial environmental factors, allowing for better crop yield predictions under climate change scenarios and adverse weather conditions. In addition, there is a high interest in human thermal comfort modeling.
Climate change adaptation tools have been developed within this field to enable farmers to adapt their practices based on predictive models that assess the impact of climate change on agriculture. This includes optimizing water resources and improving soil management techniques. Beyond that, climate services can be considered tools that incorporate the above functions and information in an accessible and practical way for farmers and professionals.
Various big data datasets and methods are used in the above sections.
Finally, integrating computational tools and methods in agroclimatology and biometeorology is essential for advancing agricultural practices in response to climate variability. These tools enhance our understanding of climatic impacts and provide practical solutions for managing the agricultural risks associated with changing environmental conditions.
Dr. Ioannis Charalampopoulos
Guest Editor
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Keywords
- crop modeling
- climate change adaptation
- big data
- human thermal stress
- climate services
- coding
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