Abstract

Abstract. This paper presents a comparison of ice water content (qi) data from a variety of measurement techniques on the Facility for Airborne Atmospheric Measurements (FAAM) BAe-146 research aircraft. Data are presented from a range of cloud types measured during the PIKNMIX field experiment that include mixed-phase stratocumulus, cumulus congestus and cirrus clouds. These measurements cover a broad range of conditions in which atmospheric ice particles are found in nature, such as the low-ice-water-content environments typically found in midlatitude cirrus and the environments with much higher ice water content often observed in cold convective clouds. The techniques include bulk measurements from (i) a Nevzorov hot-wire probe, (ii) the difference between the measured total water content (condensed plus vapour) and the water vapour content of the atmosphere and (iii) a counterflow virtual impactor (CVI) (only for cirrus measurements). We also estimate the qi from integration of the measured particle size distribution (PSD) with assumptions on how the density of ice particles varies as a function of size. The results show that the only bulk ice water content technique capable of measuring high qi values (several g m−3) was the method of total water content minus water vapour. For low ice water contents we develop a new parametrisation of the Nevzorov baseline drift that enables the probe to be sensitive to qi ± 0.002 g m−3. In cirrus clouds the agreement between the Nevzorov and other bulk measurements was typically better than a factor of 2 for the CVI (qi > 0.008 g m−3) and the method of total water content minus water vapour (qi > 0.02 g m−3). Good agreement with the bulk measurements for all cases could be obtained with the estimate from the PSD provided that appropriate a priori assumptions on the mass–dimension relationship were made. This is problematic in the convective clouds sampled because pristine ice particles, heavily rimed particles and supercooled liquid drops were all present. In a cirrus case, we show that using a temperature-dependent mass–dimension relation was required to match the bulk measurement of qi.

Highlights

  • Clouds exert large impacts on the radiative, thermodynamic and dynamic processes of the atmosphere

  • A wide range of cloud physics sorties were flown during the campaign, which provides us with an opportunity to compare the performance of the different ice water content measurement techniques in a variety of cloud regimes

  • We present a comparison of ice water content data using a variety of measurement techniques on the FAAM BAe-146 research aircraft

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Summary

Introduction

Clouds exert large impacts on the radiative, thermodynamic and dynamic processes of the atmosphere. They play a key role in the hydrological cycle of the earth–atmosphere system. Including a realistic representation of the microphysical processes that drive the evolution of clouds and precipitation in numerical weather prediction and climate models is required. Errors in the model ice water content can, propagate into all aspects of a model’s cloud parametrisation scheme. Airborne measurements of cloud ice water content are a key tool for assessing the fidelity of model predictions and for developing improvements to the cloud parametrisation schemes themselves

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