2020
DOI: 10.1002/essoar.10501862.1
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Satellite retrieval of cloud condensation nuclei concentrations in marine stratocumulus by using clouds as CCN chambers

Abstract: A new methodology for the satellite retrieval of cloud condensation nuclei (CCN) in shallow marine boundary layer clouds is developed and validated in this study. The methodology is based on retrieving cloud base drop concentrations (N d) and updrafts (W b), which are used for calculating the supersaturation (S). The N d is then defined as the CCN at that S. The accuracy of the satellite retrievals was validated against ship-borne measurements of CCN done in recent campaigns in the Southern Oceans (ACE-SPACE, … Show more

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Cited by 2 publications
(2 citation statements)
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“…In our results, over 90% of the CGTs in MODIS data are below 800 m. However, we will lose a large part of model data if we also set the maximum CGT to 800 m in two model cases. Actually, the CGTs in MODIS calculated through the assumption of adiabaticity may be underestimated because the adiabatic fraction of the cloud water is often much smaller in reality than the assumed value (Efraim et al., 2020; Lu et al., 2021). As a result, the model data with thicker clouds is comparable to MODIS when we focus on the overall comparison.…”
Section: Resultsmentioning
confidence: 99%
“…In our results, over 90% of the CGTs in MODIS data are below 800 m. However, we will lose a large part of model data if we also set the maximum CGT to 800 m in two model cases. Actually, the CGTs in MODIS calculated through the assumption of adiabaticity may be underestimated because the adiabatic fraction of the cloud water is often much smaller in reality than the assumed value (Efraim et al., 2020; Lu et al., 2021). As a result, the model data with thicker clouds is comparable to MODIS when we focus on the overall comparison.…”
Section: Resultsmentioning
confidence: 99%
“…(2018) developed a new methodology to obtain more reliable N d retrieval. Previous work has demonstrated the advantage and accuracy of N d of convective cores based on the brightest 10% method (Rosenfeld et al., 2019; Zhu et al., 2018), even for broken clouds (Efraim et al., 2020; Wang et al., 2021).…”
Section: Introductionmentioning
confidence: 99%