Climate Data for Agricultural Applications: Downscaling and Scenarios
A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Biometeorology and Bioclimatology".
Deadline for manuscript submissions: closed (31 October 2020) | Viewed by 15369
Special Issue Editors
Interests: climate change scenarios; climate change and agriculture; climate variability; climate change adaptation; statistical analysis
Interests: earth observation; agro-climate data; soil moisture; drought monitoring; crop yield estimation
Special Issues, Collections and Topics in MDPI journals
Interests: hydrological processes; water quality; tracer techniques; land use change effects
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Atmosphere dedicates this Special Issue to climate data for agricultural applications with a focus on climate downscaling and future climate scenarios. Climate data are essential for a wide range of agricultural applications, including climate risk assessements, crop yield forecasting, and climate change impacts and adaptation studies. In addition to climate data observed at climate stations, data derived from remote sensing data, numerical weather forecasts, and climate simulations are increasingly becoming essential for agricutlural applications. Spatial and temporal scales of these data are required to match those in the agricultural applications, where field sizes are small and often the base unit for crop simulation models. Downscaling the output of global climate models (GCMs), for example, is widely considered necessary for climate change impact studies to be relevant. Furthermore, future climate scenarios are the basis for climate change impacts and adaptation studies, and the scale of these data sets contributes to the uncertainty of the projected climate change impacts on the agricultural sector. The development and use of future climate scenarios will play an important role in climate change impacts and adaptation studies for the agricultural sector.
Original research and review papers, methodologies, and applications related to the development of climate data for use in the agricutural sector are welcome. Authors are especially encouraged to present studies on methodologies of downscaling weather forecast/climate model outputs for regional and local agricultural applications including, but not limited to, crop growth simulations, climate extremes and risk analysis, yield forecasting, and greenhouse gase emissions.Discussions on how to derive and interprete climate information for agricultural applications and the associated uncertainties are also encouraged.
Dr. Catherine Champagne
Dr. Budong Qian
Prof. Zhi Li
Guest Editors
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Keywords
- Climate data
- Agriculture
- Downscaling
- Climate scenarios
- Climate extremes
- Climate change impacts
- Risk assessment
- Agricultural water management
- Remote sensing
- Modelling
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