Abstract

Abstract. The ground-based Atmospheric Radiation Measurement Program (ARM) and NASA Aerosol Robotic Network (AERONET) routinely monitor clouds using zenith radiances at visible and near-infrared wavelengths. Using the transmittance calculated from such measurements, we have developed a new retrieval method for cloud effective droplet size and conducted extensive tests for non-precipitating liquid water clouds. The underlying principle is to combine a liquid-water-absorbing wavelength (i.e., 1640 nm) with a non-water-absorbing wavelength for acquiring information on cloud droplet size and optical depth. For simulated stratocumulus clouds with liquid water path less than 300 g m−2 and horizontal resolution of 201 m, the retrieval method underestimates the mean effective radius by 0.8 μm, with a root-mean-squared error of 1.7 μm and a relative deviation of 13%. For actual observations with a liquid water path less than 450 g m−2 at the ARM Oklahoma site during 2007–2008, our 1.5-min-averaged retrievals are generally larger by around 1 μm than those from combined ground-based cloud radar and microwave radiometer at a 5-min temporal resolution. We also compared our retrievals to those from combined shortwave flux and microwave observations for relatively homogeneous clouds, showing that the bias between these two retrieval sets is negligible, but the error of 2.6 μm and the relative deviation of 22% are larger than those found in our simulation case. Finally, the transmittance-based cloud effective droplet radii agree to better than 11% with satellite observations and have a negative bias of 1 μm. Overall, the retrieval method provides reasonable cloud effective radius estimates, which can enhance the cloud products of both ARM and AERONET.

Highlights

  • Cloud droplet effective radius is one of the most fundamental cloud properties for understanding cloud formation, dissipation and interactions with aerosol and drizzle (Albrecht, 1989; Wood, 2000; McComiskey at al, 2009; Kubar et al, 2009)

  • This paper presents a new retrieval method for cloud effective droplet radius, using zenith radiance measurements from Atmospheric Radiation Measurement Program (ARM) and from the Aerosol Robotic Network (AERONET) cloud mode operation

  • The rootmean-squared difference (RMSD) is comparable to the uncertainty of 20–30 g m−2 in liquid water path retrievals from two-channel microwave radiometer measureability of its data products, including LWP from microwave radiometer measurements, and cloud effective radius from flux and radar measurements

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Summary

Introduction

Cloud droplet effective radius is one of the most fundamental cloud properties for understanding cloud formation, dissipation and interactions with aerosol and drizzle (Albrecht, 1989; Wood, 2000; McComiskey at al, 2009; Kubar et al, 2009). This paper presents a new retrieval method for cloud effective droplet radius, using zenith radiance measurements from ARM and from the AERONET cloud mode operation. These uncertainties, normally distributed and estimated from Holben et al (1998) and Schaaf et al (2002), For clouds over a Lambertian surface, the ground-based are used to perturb the observed zenith radiance and surface zenith radiance I at a wavelength λ is a function of cloud albedo estimate, resulting in an overall relative input unceroptical depth and effective radius. We postulate that the solu- difference between true and retrieved cloud optical depths tion is found when zenith radiances agree with the lookup is around 2–7 %, while the difference in effective radius is table to within 10 % at both 440 and 870 nm wavelengths, around 2–5 %.

Simulations setup and evaluation metrics
Comparison of cloud-mode retrievals to ARM and MODIS products
LWP comparison to ARM microwave- and infrared-based retrievals
Variable
Cloud effective radius comparison to ARM radar-based retrievals
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