Year: 2021
Type: article
Abstract: I mprovements in numerical weather and climate modeling depend on accurate accounting of land-atmosphere interactions and the biological processes that mediate them at multiple spatial and temporal scales.Unfortunately, there is a problematic, persistent mismatch between the scales of observations and models.The substantial heterogeneity of the land surface means that observations do not always accurately reflect the entire model grid cell.Therefore, spatial and temporal scaling of surface fluxes is fundamental to how we evaluate theories on what happens within the subgrid of atmospheric models and how it feeds back onto larger-scale dynamics.This scaling is thus fundamental to assessing the parameterizations that represent land-atmosphere interactions in atmospheric models.
Authors: Brian J. Butterworth, Ankur R. Desai, Stefan Metzger, Philip A. Townsend, Mark D. Schwartz, Grant W. Petty, Matthias Mauder, Hannes Vogelmann, Christian G. Andresen, Travis J. Augustine, Timothy H. Bertram, William O.J. Brown, Michael Buban, Patricia Cleary, David J. Durden, Christopher R. Florian, Trevor J. Iglinski, Eric L. Kruger, Kathleen Lantz, Temple R. Lee, Tilden P. Meyers, James K. Mineau, Erik R. Olson, Steven P. Oncley, Sreenath Paleri, Rosalyn A. Pertzborn, Claire Pettersen, David M. Plummer, Laura D. Riihimaki, Eliceo Ruiz Guzman, Joseph Sedlar, Elizabeth N. Smith, Johannes Speidel, Paul C. Stoy, Matthias Sühring, Jonathan E. Thom, David D. Turner, Michael P. Vermeuel, Timothy J. Wagner, Zhien Wang, Luise Wanner, Loren D. White, James M. Wilczak, Daniel B. Wright, Ting Zheng
Institution: University of Wisconsin System
Language: English
Subfield: Atmospheric Science
Field: Earth and Planetary Sciences
Domain: Physical Sciences
SDG: Climate action
Open Access status: bronze
OpenAlex ID: W4387919988