The Relationship of Low-Cloud Optical Depth to Temperature in ARM Observations With Implications for Cloud Feedbacks

 
Poster PDF

Authors

Stephen Klein — Lawrence Livermore National Laboratory
Yunyan Zhang — Lawrence Livermore National Laboratory
J.-Y. Christine Chiu — Colorado State University
Neil Daniel Gordon — Scripps Institution of Oceanography
Qilong Min — State University of New York, Albany

Category

Warm Low Clouds and Interactions with Aerosol

Description

In climate models, the relationship of low-cloud optical depth to temperature arising from variability within the current climate has been shown to be predictive of the long-term changes of low-cloud optical depth that result from greenhouse-induced global warming. This motivates efforts to use observations to better determine this relationship. Here ARM observations from the SGP, NSA and GRW are used to document how low-cloud optical depth varies with temperature in three different climate regimes spanning a wide range of temperature. Observations of cloud-physical thickness, and liquid water path and content are also used to ascertain which cloud properties contribute to the relationship of optical-depth with temperature. These findings are then used to assess the dependence of low-cloud optical depth on temperature simulated in CMIP3 and CMIP5 model outputs at ARM sites. This work is performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344. LLNL-ABS-648655.

Lead PI

Stephen Klein — Lawrence Livermore National Laboratory