Susan Zimmerman | 17-ERD-052
Executive Summary
We are examining the impacts of various climate-forcing mechanisms to provide a physically based criterion for assessing the ability of global climate models to predict drought in California. This will help narrow the uncertainties of predicting precipitation changes.
Publications and Presentations
Tunno, I., et al. 2018. "Building a Chronology with Pollen Grains from Mono Lake (CA) through AMS and Flow Cytometry." LLNL-PRES-744098.
Zimmerman, S. 2018. "Testing Pollen Sorted by Flow Cytometry as the Basis for High-Resolution Lacustrine Chronologies." Radiocarbon. 61 (1), 359-374. doi:10.1017/RDC.2018.89. LLNL-JRNL-725175.
