Spatial Downscaling of Coarse-Resolution Key Meteorological Parameters
A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Meteorology".
Deadline for manuscript submissions: closed (30 December 2023) | Viewed by 387
Special Issue Editors
Interests: plant ecophysiology; ecosystem modeling; environmental biology; data assimilation
Interests: climate change; carbon cycle; greenhouse fluxes; mathematical modeling; remote sensing; field flux measurements
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The terrestrial biosphere is anticipated to strongly respond to regional environmental changes that occur due to changed land-use patterns or events that cause ecosystem disturbances (e.g., deforestation, fires, or drought). Thus, it is critical that the most vulnerable ecosystems are identified. To enhance our understanding of the extent of these changes in the biogeochemical cycles, land surface models are often invoked. The appropriate meteorological data, however, are often not available, and without meteorological data, it is not possible to run land surface models at the regional level. To date, researchers have employed various techniques (interpolations, empirical models (e.g. elevation dependence) to derive meteorological parameter values; hence, there is no consensus among researchers regarding which method to apply. Moreover, it is not evident whether the downscaling procedure ought to possess biome dependence (e.g., natural forest versus managed forest), especially if biomes have modified the climate. We invite researchers to spatially downscale (50 km x 50 km) only one year of coarse-resolution meteorological data (e.g., CRUNCEP, ERA that is at 50 km x 50 km spatial resolution) to a finer spatial resolution (e.g., 3 km x 3 km), share their obtained data, including R or Python scripts, and discuss the potential bias/limitations of their methods. The key meteorological parameters include air temperature, global radiation, humidity, and rainfall. Papers that attend to the applications of meteorological downscaling data are most welcome.
This Special Issue focus on the Spatial Downscaling of Coarse-Resolution Key Meteorological Parameters. Topics of interest include, but are not limited to, the following:
- biogeochemical cycles
- biosphere–atmosphere interactions
- climate variability and change
- statistical downscaling
- regional environmental change
Dr. Ashehad Ali
Prof. Dr. Alexander Olchev
Dr. Yuanchao Fan
Guest Editors
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Keywords
- downscaling procedure
- ecosystem disturbance
- biogeochemistry
- land surface models
- terrestrial biomes
