Roy Rasmussen, Fei Chen, Andreas Prein, Peter Van Oevelen (Director, International GEWEX Program Office) and Graeme Stevens (Co-Chair GEWEX Scientific Steering Group)
Boram Lee, Craig Ferguson, Roy Tirthankar, Chris DeBeer, Jin Huang, Gustavo Coelbo, Rachel von Gnechten, Rick Lawford, Ana Nunbs, Changhai Liu, Chuck Kroll, Tomas Halenka, Laurent Lassabatere, Angelica Caseri, Carina Furusho, Alex Ruane, Iman Haquiqi, Gab Abramowitz, Tim Schneider
7:00-7:10 Welcome and aim of the meeting (Roy Rasmussen – NCAR)
7:10-7:25 Overview of the GEWEX lead Water for the Food Baskets of the World grand challenge (Peter Van Oevelen – GEWEX)
7:25-7:40 Convection-permitting climate modeling as the main research tool for water research of the future (Andreas Prein – NCAR)
7:40-7:55 Challenges in state-of-the-art agricultural modeling (Fei Chen – NCAR)
7:55-8:30 Discussion
Proposed Experiments
The central US region is one focus area to build modeling capabilities and establish collaborations among different disciplines (e.g., atmospheric science, agricultural science, hydrology). This region is important for US and global food production, experienced major changes in agricultural practices and intensity over recent decades, and is a data-rich region, which allows for proper model evaluations.
Two 50-yearlong regional convection-permitting (~4 km model grid spacing) climate simulations will be performed. One with and one without human effects on agriculture and hydrology. These two experiments will provide insights into agricultural impacts on the weather and climate of the central US. The goal is to build modeling capabilities to predict future human-climate interactions on seasonal to centennial scales.
Questions and Comments:
Should we use spectral nudging in such simulations?
A central US domain should be well constrained and could be run without nudging of the lateral boundary conditions.
Does the lateral boundary forcing include agricultural impacts that we want to capture?
The inclusion of socioeconomic impacts in such simulations is important if we want to use them for future predictions since agricultural management decisions are often overwriting physical reasoning.
The use of dynamical agriculture models would be beneficial.
Observations
Ways to Include the Scientific Community