BibTex format
@article{Gryspeerdt:2018:10.5194/acp-18-14351-2018,
author = {Gryspeerdt, E and Sourdeval, E and Quaas, J and Delanoë, J and Krämer, M and Kühne, P},
doi = {10.5194/acp-18-14351-2018},
journal = {Atmospheric Chemistry and Physics},
pages = {14351--14370},
title = {Ice crystal number concentration estimates from lidar–radar satellite remote sensing – Part 2: Controls on the ice crystal number concentration},
url = {http://dx.doi.org/10.5194/acp-18-14351-2018},
volume = {18},
year = {2018}
}
RIS format (EndNote, RefMan)
TY - JOUR
AB - The ice crystal number concentration (Ni) is a key property of ice clouds, both radiatively and microphysically. Due to sparse in situ measurements of ice cloud properties, the controls on the Ni have remained difficult to determine. As more advanced treatments of ice clouds are included in global models, it is becoming increasingly necessary to develop strong observational constraints on the processes involved.This work uses the DARDAR-Nice Ni retrieval described in Part 1 to investigate the controls on the Ni at a global scale. The retrieved clouds are separated by type. The effects of temperature, proxies for in-cloud updraft and aerosol concentrations are investigated. Variations in the cloud top Ni (Ni(top)) consistent with both homogeneous and heterogeneous nucleation are observed along with differing relationships between aerosol and Ni(top) depending on the prevailing meteorological situation and aerosol type. Away from the cloud top, the Ni displays a different sensitivity to these controlling factors, providing a possible explanation for the low Ni sensitivity to temperature and ice nucleating particles (INP) observed in previous in situ studies.This satellite dataset provides a new way of investigating the response of cloud properties to meteorological and aerosol controls. The results presented in this work increase our confidence in the retrieved Ni and will form the basis for further study into the processes influencing ice and mixed phase clouds.
AU - Gryspeerdt,E
AU - Sourdeval,E
AU - Quaas,J
AU - Delanoë,J
AU - Krämer,M
AU - Kühne,P
DO - 10.5194/acp-18-14351-2018
EP - 14370
PY - 2018///
SN - 1680-7316
SP - 14351
TI - Ice crystal number concentration estimates from lidar–radar satellite remote sensing – Part 2: Controls on the ice crystal number concentration
T2 - Atmospheric Chemistry and Physics
UR - http://dx.doi.org/10.5194/acp-18-14351-2018
UR - http://hdl.handle.net/10044/1/65577
VL - 18
ER -