Collection

Land surface impacts on precipitation predictability over Subseasonal-to-Seasonal (S2S) and longer time scales

Submission status
Closed
Despite prodigious recent research, precipitation prediction on subseasonal-to-seasonal (S2S) and longer time scales remains as a grand scientific challenge. There are pressing needs for breakthroughs in the precipitation prediction and understanding its predictability as evidenced by projects like the Global Energy and Water Exchanges (GEWEX) program-launched the “Impact of Initialized Land Temperature and Snowpack on Subseasonal-to-Seasonal Prediction” (LS4P) initiative. This collection focuses on advances in the S2S and long-time scale precipitation predictability and prediction, especially those associated with extreme events, such as droughts, heatwaves, and floods; and will cover a wide range of contributions related to the role of land surface processes on precipitation predictability and prediction over S2S and longer time scales. Topics include, but not limit to, local and remote effects of land surface/subsurface temperature, soil moisture, vegetation, snow, and light-absorbing particles in snow on precipitation predictability and prediction, as well as mechanisms of dynamic and physical processes and hydroclimate-convection feedback processes. The collection includes papers from global and regional model-based studies and model intercomparison projects, diagnostic analyses based on observations and reanalysis, and theoretical studies aimed at better understanding of the driving mechanisms of S2S precipitation prediction, as well as studies on the influence of global warming on prediction and predictability.

Editors

  • Yongkang Xue Yongkang Xue  &

    Yongkang Xue

    Yongkang Xue is the Distinguished Professor at the Department of Geography and the Department of Atmospheric & Oceanic Sciences, University of California, Los Angeles (UCLA). He studies land surface modeling, land/atmosphere/ocean interactions, climate variability, anomalies, and change, regional climate downscaling, and remote sensing. Using coupled land-surface/atmosphere models, he has conducted numerous sensitivity and prediction studies to investigate the impact of land-surface processes, including vegetation biophysical processes, land-cover and land use change, and land-surface parameters.

  • William K. M. Lau William K. M. Lau

    William K. M. Lau

    William K. M. Lau is a Senior Scientist at the Earth System Science Interdisciplinary Center (ESSIC), and Adjunct Professor, Department of Atmospheric and Oceanic Sciences, U. Of Maryland. He has over forty years of research expertise in climate variability and change, with focus on atmospheric dynamics, coupled ocean-atmosphere-land systems, aerosol-monsoon climate interaction, and precipitation extremes. He served as Director of the Laboratory for Atmospheres, NASA Goddard Space Flight Center (2005-2015), and president of the Atmosphere Division, American Geophysical Union (2015-16).

Articles (18 in this collection)