skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Methods for Estimating 2D Cloud Size Distributions from 1D Observations

Journal Article · · Journal of the Atmospheric Sciences
 [1];  [2]
  1. Department of Earth and Planetary Science, University of California, Berkeley, and Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California
  2. Environmental and Climate Sciences Department, Brookhaven National Laboratory, Upton, New York

© 2017AmericanMeteorological Society. The two-dimensional (2D) size distribution of clouds in the horizontal plane plays a central role in the calculation of cloud cover, cloud radiative forcing, convective entrainment rates, and the likelihood of precipitation. Here, a simple method is proposed for calculating the area-weighted mean cloud size and for approximating the 2D size distribution from the 1D cloud-chord lengths measured by aircraft and vertically pointing lidar and radar. This simple method (which is exact for square clouds) compares favorably against the inverse Abel transform (which is exact for circular clouds) in the context of theoretical size distributions. Both methods also perform well when used to predict the size distribution of real clouds from a Landsat scene. When applied to a large number of Landsat scenes, the simple method is able to accurately estimate the mean cloud size. As a demonstration, the methods are applied to aircraft measurements of shallow cumuli during the Routine ARM Aerial Facility (AAF) Clouds with Low Optical Water Depths (CLOWD) Optical Radiative Observations (RACORO)campaign, which then allow for an estimate of the true area-weighted mean cloud size.

Research Organization:
Brookhaven National Laboratory (BNL), Upton, NY (United States); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
Grant/Contract Number:
AC02-05CH11231; SC0012704
OSTI ID:
1399067
Alternate ID(s):
OSTI ID: 1376175; OSTI ID: 1563938
Report Number(s):
BNL-114153-2017-JA
Journal Information:
Journal of the Atmospheric Sciences, Journal Name: Journal of the Atmospheric Sciences Vol. 74 Journal Issue: 10; ISSN 0022-4928
Publisher:
American Meteorological SocietyCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 12 works
Citation information provided by
Web of Science

Cited By (2)

Thermodynamic Constraints on the Size Distributions of Tropical Clouds journal August 2018
Characteristics of Optically Thin Coastal Florida Cumuli Derived From Surface-Based Lidar Measurements journal September 2018