Weather Forecasting and Modeling in Drylands
A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Meteorology".
Deadline for manuscript submissions: closed (26 June 2020) | Viewed by 4440
Special Issue Editor
Interests: climate modeling; weather forecasting; North American monsoon; interannual and intraseasonal variability; atmospheric dynamics; dynamical downscaling; hydroclimate; hydrometeorology; urban canopy modeling
Special Issue Information
Dear Colleagues,
Nearly one-eighth of the population lives in arid and semiarid lands, also known as drylands. As populations in desert areas increase and global warming exerts more stress on dry climate systems, the need for better numerical weather prediction products becomes more critical. Accurate and skillful weather forecasts can benefit the livelihood of communities by improving the governance and management of the water, energy, and ecosystem resources, while helping make critical decisions about extreme heat stress, surface hydrology, agriculture, dust emissions and transport, and fire weather/behavior.
Traditionally, atmospheric models have been developed to simulate all types of weather, seasons, climate conditions, and various soil and vegetation/land cover types. However, such models tend to have limitations in simulating basic physical processes that are of particular interest, but not exclusively, for modeling in arid regions, including precipitation biases, lack of representation of intermittency and convection organization; underrepresenting the relatively large amplitude of the diurnal cycle of temperature; failure to represent the deep dry convective boundary layer; and the elusive understanding of soil moisture dynamics and land–atmosphere coupling. Some of the latest improvements in weather forecasting in drylands are related to data assimilation of soil moisture, resulting in better surface initial conditions and improved accuracy at weather time scales and positively impacting model skill for longer term integrations at sub-seasonal and seasonal time scales.
The open-access journal Atmosphere is hosting a Special Issue motivated by the need to have a compendium of review studies and research papers with original results considering weather forecasting and modeling in drylands. Authors are encouraged to consider assessments of the accuracy, uncertainty, and error structures exhibited by weather forecasting models. Of particular interest for this Special Issue are studies revealing models’ challenges specific to drylands and presenting new developments to overcome them. This is an appropriate venue for papers that deal with reducing the gap of our understanding of the arid and semi-arid physical processes and that provide guidelines to tailor and extrapolate weather forecasting models for drylands.
Dr. John F. Mejia
Guest Editor
Manuscript Submission Information
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Keywords
- weather forecast
- skill
- uncertainty
- predictability
- tailored models
- soil moisture
- data assimilation
- arid and semi-arid climates
