Arid regions constitute approximately 41% of Earth’s land area. Due to lack enough moisture, there is less precipitation and a deficiency of groundwater. The ecological environment of arid regions is relatively fragile and extremely sensitive to climate change. Yet there are still extreme precipitation events (EPE) occurring. Particularly under the global warming, EPE seem to be soaring, which results in greater challenges and uncertainties for ecosystem, environment, and sustainable development. It leads to a body of research questions to be further investigated, e.g., what the features, change trends of EPE in past few decades are, how and where the water vapor comes from, what evolution mechanisms of EPE are, how ocean/land signals (such as ENSO, soil moisture) impact on EPE in arid regions.
Numerical models have been broadly employed in the simulation of EPE, however, simulation performances are not prominent in arid regions. EPE in arid regions have great uncertainty in global models, especially at multiple spatial and temporal scales. Regional modeling presents evident biases in both precipitation amount and location. Depending on sparse observations in arid regions, model’s initial conditions have large uncertainty and physics parameterizations are unclear in drylands. Therefore, consensus about the dominant effects of EPE, as well as the systematically precipitation evaluations of dynamic downscaling in arid regions, deserve to be further understood and modeled as accurately as possible.
Papers called in the Research Topic will be concerned with, but not limited to:
• Extreme precipitation variability and trend in the past and future in arid regions
• Observation facts and phenomena in arid regions
• Parameterization schemes of land surface, boundary layer, convection, and cloud microphysics processes associated with extreme precipitation in arid regions
• Evolution mechanisms of extreme precipitation in arid regions
• Transportation mechanisms of water vapor in arid regions
• Model performance of precipitation simulation in arid regions
• Improvement of multi-source data assimilation and physics parameterization in arid regions
Arid regions constitute approximately 41% of Earth’s land area. Due to lack enough moisture, there is less precipitation and a deficiency of groundwater. The ecological environment of arid regions is relatively fragile and extremely sensitive to climate change. Yet there are still extreme precipitation events (EPE) occurring. Particularly under the global warming, EPE seem to be soaring, which results in greater challenges and uncertainties for ecosystem, environment, and sustainable development. It leads to a body of research questions to be further investigated, e.g., what the features, change trends of EPE in past few decades are, how and where the water vapor comes from, what evolution mechanisms of EPE are, how ocean/land signals (such as ENSO, soil moisture) impact on EPE in arid regions.
Numerical models have been broadly employed in the simulation of EPE, however, simulation performances are not prominent in arid regions. EPE in arid regions have great uncertainty in global models, especially at multiple spatial and temporal scales. Regional modeling presents evident biases in both precipitation amount and location. Depending on sparse observations in arid regions, model’s initial conditions have large uncertainty and physics parameterizations are unclear in drylands. Therefore, consensus about the dominant effects of EPE, as well as the systematically precipitation evaluations of dynamic downscaling in arid regions, deserve to be further understood and modeled as accurately as possible.
Papers called in the Research Topic will be concerned with, but not limited to:
• Extreme precipitation variability and trend in the past and future in arid regions
• Observation facts and phenomena in arid regions
• Parameterization schemes of land surface, boundary layer, convection, and cloud microphysics processes associated with extreme precipitation in arid regions
• Evolution mechanisms of extreme precipitation in arid regions
• Transportation mechanisms of water vapor in arid regions
• Model performance of precipitation simulation in arid regions
• Improvement of multi-source data assimilation and physics parameterization in arid regions
