Joint Session 2 Advances in Understanding Land–Atmosphere Interactions: Part II

Tuesday, 8 January 2019: 10:30 AM-12:00 PM
North 127ABC (Phoenix Convention Center - West and North Buildings)
Hosts: (Joint between the 33rd Conference on Hydrology; and the 32nd Conference on Climate Variability and Change )
Joseph A. Santanello, NASA GSFC, Hydrological Sciences Laboratory (617), Greenbelt, MD; Paul A. Dirmeyer, COLA, Fairfax, VA; Yunyan Zhang, LLNL, PLS/AEED/CPRM, Livermore, CA and Dan Li, Boston Univ., Earth and Environment, Boston, MA

Land-atmosphere (L-A) interactions are a key component of the global climate system. Water, energy, and carbon transfer between the land surface and planetary boundary layer (PBL) have important impacts on weather and climate variability, predictability, and extremes such as drought. This session focuses on land-atmosphere interactions and characterization of water, energy, and carbon cycle fluxes, and subsequent feedbacks and coupling between the surface and PBL. In particular, the impacts of soil moisture and evapotranspiration on PBL, cloud, and precipitation development remain a challenge to quantify across a range of scales. We invite observation, satellite, and model-based studies of land-atmosphere interactions, particularly at the process-level, and their applications in weather and climate modeling and predictability.  In particular, we emphasize studies that utilize satellite observations and remote sensing for L-A studies.

10:30 AM
Land-Atmosphere Coupling in an Ensemble of Regional Climate Simulations
Rachel McCrary, NCAR, Boulder, CO; and R. W. Arritt and M. S. Bukovsky
10:45 AM
Assessment of the Sensitivity to the Thermal Roughness Length in Noah and Noah-MP Land Surface Model Using WRF in an Arid Region
Michael Weston, Khalifa Univ., Abu Dhabi, United Arab Emirates; and M. Temimi and V. K. Valappil

11:00 AM
11:15 AM
Impact of Land-Atmosphere Interactions on Mesoscale Arctic Forecasts
Xiaodong Hong, NRL, Monterey, CA; and J. D. Doyle, S. Wang, and J. Nachamkin
11:30 AM
11:45 AM
Terrestrial Moisture Recycling Estimates Derived from an Idealized Model Framework
Benjamin Lintner, Rutgers Univ., New Brunswick, NJ; and K. Findell, P. Keys, R. van der Ent, A. Berg, and J. P. Krasting
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