ARM shortwave spectrometers to study the clear-cloud transition zone and mixing processes

Technical Report · Fri May 03 04:00:00 EDT 2024

DOI:https://doi.org/10.2172/1735574· OSTI ID:1735574

Khain, Alexander ^[1]; Pinsky, Mark ^[2]; Shpund, Jacob ^[2]; Lynn, Barry ^[2]

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1. Hebrew Univ. of Jerusalem (Israel); The Hebrew University of Jerusalem
2. Hebrew Univ. of Jerusalem (Israel)

The proposed research is a collaborative effort between NASA/Goddard Space Flight Center and the Hebrew University of Jerusalem. While the NASA team focused on analyzing ground-based hyper-spectral radiance observations to understand cloud edge properties and their connection to mixing processes, the Hebrew University team tackled the problem through cloud modeling activities. By approximating the shortwave spectra in the cloud-clear transition zone as a linear combination of purely clear and purely cloudy spectra we can characterize the variations of cloud optical thickness and cloud droplet effective radius in the transition zone. When applying this method to the measurements of a ground-based shortwave spectroradiometer at the ARM’s SGP site, representing continental conditions, and MAGIC field campaign between Log Angeles, California and Honolulu, Hawaii, representing maritime scenarios, we found that cloud optical depth consistently decreases in both cases, but droplet size decreases much more substantially for the continental regime, suggesting different mixing processes for the continental and maritime conditions. The investigation and measurements of radiation clouds were coupled with a unique cloud modeling. A novel spectral bin microphysics was developed and implemented to the System of Atmospheric Modeling (SAM). In order to resolve cloud transition zones with high spatial gradients of microphysical variables a unique high resolution (10 m) was used in simulations. The model calculates droplet size distributions in each grid point. The model output was transferred to the NASA/GSFC team for utilization in radiative calculations and testing of both radiative algorithm and model representation.

• Research Organization: Hebrew Univ. of Jerusalem (Israel)
• Sponsoring Organization: USDOE Office of Science (SC), Biological and Environmental Research (BER)
• Contributing Organization: NASA Goddard
• DOE Contract Number: SC0018000
• OSTI ID: 1735574
• Report Number(s): Final---Report
• Country of Publication: United States
• Language: English

Related Subjects

54 ENVIRONMENTAL SCIENCES
aerosols
climate
cloud radiation
clouds
microphysics