Abstract

Abstract. The high complexity of cloud parameterizations now held in models puts more pressure on observational studies to provide useful means to evaluate them. One approach to the problem put forth in the modelling community is to evaluate under what atmospheric conditions the parameterizations fail to simulate the cloud properties and under what conditions they do a good job. It is the ambition of this paper to characterize the variability of the statistical properties of tropical ice clouds in different tropical "regimes" recently identified in the literature to aid the development of better process-oriented parameterizations in models. For this purpose, the statistical properties of non-precipitating tropical ice clouds over Darwin, Australia are characterized using ground-based radar-lidar observations from the Atmospheric Radiation Measurement (ARM) Program. The ice cloud properties analysed are the frequency of ice cloud occurrence, the morphological properties (cloud top height and thickness), and the microphysical and radiative properties (ice water content, visible extinction, effective radius, and total concentration). The variability of these tropical ice cloud properties is then studied as a function of the large-scale cloud regimes derived from the International Satellite Cloud Climatology Project (ISCCP), the amplitude and phase of the Madden-Julian Oscillation (MJO), and the large-scale atmospheric regime as derived from a long-term record of radiosonde observations over Darwin. The vertical variability of ice cloud occurrence and microphysical properties is largest in all regimes (1.5 order of magnitude for ice water content and extinction, a factor 3 in effective radius, and three orders of magnitude in concentration, typically). 98 % of ice clouds in our dataset are characterized by either a small cloud fraction (smaller than 0.3) or a very large cloud fraction (larger than 0.9). In the ice part of the troposphere three distinct layers characterized by different statistically-dominant microphysical processes are identified. The variability of the ice cloud properties as a function of the large-scale atmospheric regime, cloud regime, and MJO phase is large, producing mean differences of up to a factor 8 in the frequency of ice cloud occurrence between large-scale atmospheric regimes and mean differences of a factor 2 typically in all microphysical properties. Finally, the diurnal cycle of the frequency of occurrence of ice clouds is also very different between regimes and MJO phases, with diurnal amplitudes of the vertically-integrated frequency of ice cloud occurrence ranging from as low as 0.2 (weak diurnal amplitude) to values in excess of 2.0 (very large diurnal amplitude). Modellers should now use these results to check if their model cloud parameterizations are capable of translating a given atmospheric forcing into the correct statistical ice cloud properties.

Highlights

  • The importance of clouds on the evolution of climate through their direct effect on the earth radiation budget and water cycle is well recognized

  • The present paper aims at characterizing the variability of non-precipitating tropical ice cloud properties as a function of different types of “regimes”: the large-scale “cloud regime” derived from the International Satellite Cloud Climatology Project (ISCCP; Schiffer and Rossow, 1983; Rossow and Schiffer,1999), the amplitude and phase of the Madden-Julian Oscillation (MJO, Madden and Julian, 1972; Wheeler and Hendon, 2004), and the large-scale atmospheric regime as derived from a long-term record of radiosonde observations over Darwin (Pope et al, 2009)

  • The statistical properties of tropical ice clouds discussed in the present paper are derived from continuous verticallypointing radar and lidar observations collected at the Darwin Atmospheric Radiation Measurement (ARM) site from 1 July 2005 to 30 June 2009

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Summary

Introduction

The importance of clouds on the evolution of climate through their direct effect on the earth radiation budget and water cycle is well recognized. Further evaluations and improvements of model performances and development of new cloud parameterizations must rely on a better understanding of cloud processes (using detailed in-situ microphysical observations of the nucleation and growth processes), and on a better understanding of the statistical properties of clouds and deep convection and their variability In the present paper the study of PAL09 is extended using a much larger time series (four years) in order to characterize the statistical properties of tropical ice clouds and their variability as a function of the large-scale state of the atmosphere. 2. The tropical ice cloud properties and their variability as a function of the large-scale atmospheric context are characterized in Sect.

Observations and methodology
Microphysical and radiative properties
Frequency of ice cloud occurrence
Cloud top height and geometrical thickness
Findings
Cloud fraction
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