Description of the LASSO-CACTI Activity: A LASSO Scenario for Orographically Forced Deep Convection

NOTE: This is an evolving, pre-release version of the LASSO-CACTI documentation. It is subject to change.

This documentation is for the U.S. Department of Energy Atmospheric Radiation Measurement (ARM) User Facility’s Large-Eddy Simulation (LES) ARM Symbiotic Simulation and Observation (LASSO) product focusing on the Cloud, Aerosol, and Complex Terrain Interactions (CACTI) field campaign. This product is formally dubbed LASSO-CACTI. The CACTI field campaign occurred from October 2018 through April 2019 in the region around the Sierras de Córdoba mountain range in north-central Argentina. This region experiences some of the most intense convection on the planet. The LASSO-CACTI product simulates some of these storms using large-eddy simulations with 100-m grid spacing to help scientists better understand the processes involved in these deep convective events. Ultimately, the goal is to better understand the cloud processes so that weather and climate models can be improved to better represent these conditions.

Primary developers:
William I. Gustafson Jr., Principal Investigator (PI), Pacific Northwest National Laboratory (PNNL)
Andrew M. Voglemann, Co-PI, Brookhaven National Laboratory (BNL)
Mark M. Delgado, BNL
Satoshi Endo, BNL
Eddie K. Schuman, PNNL
Adam C. Varble, PNNL
Heng Xiao, PNNL
Document Version: Pre-release
DOE Report ID: DOE/SC-ARM-TR-288
Documentation Website: https://lasso-cacti-doc.arm.gov
Documentation DOI: https://doi.org/10.2172/1905845 (this website)
Overall LASSO-CACTI Data Set DOI: https://doi.org/10.5439/1905789
LASSO-CACTI Bundle Browser: https://adc.arm.gov/lasso/#/cacti

This work is supported by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research.

Disclaimer:
This report was prepared as an account of work sponsored by the U.S. Government. Neither the United States nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise, does not necessarily constitute or imply its endorsement, recommendation, or favoring by the U.S. Government or any agency thereof. The views and opinions of authors expressed herein do not necessarily state or reflect those of the U.S. Government or any agency thereof.

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