five

The Cirrus Guide II In-situ Aircraft Data Set

收藏
DataCite Commons2025-01-21 更新2025-04-09 收录
下载链接:
https://b2share.fz-juelich.de/records/8e483c04cd3641bc95c5ec7f29a43c15
下载链接
链接失效反馈
官方服务:
资源简介:
The Cirrus Guide II in-situ data set (see Krämer et al., 2016, 2020) contains cloud and trace gas observations in the UTLS (Upper Troposphere / Lower Stratosphere) from research aircraft on a flight by flight basis. The major parameters contained in the data set are: Total water content (TWC = ice for temperatures T < -38C, liquid or ice or a mixture between -38C - 0C, liquid for T > 0C), cloud particle number concentration N_cloud (physical state as for TWC), mean mass radius R_cloud, in-cloud as well as the clear sky relative humidity with respect to ice (RH_ice) and clear sky water vapor volume mixing ratios of H2O and O_3. Further, meteorological variables are included in the data set: Time, Temperature, potential Temperature, Pressure, Altitude, Latitude, Longitude, Latitude, vertical velocity. The complete in situ data set comprises 24 field campaigns described by Krämer et al. (2016) and Krämer et al. (2020). Note that there is a corrected data base available; please find the description in the respective tar-file (M. Krämer, 2023). Krämer, M., Rolf, C., Spelten, N., Afchine, A., Fahey, D., Jensen, E., Khaykin, S., Kuhn, T., Lawson, P., Lykov, A., Pan, L. L., Riese, M., Rollins, A., Stroh, F., Thornberry, T., Wolf, V., Woods, S., Spichtinger, P., Quaas, J., and Sourdeval, O.: A Microphysics Guide to Cirrus – Part II: Climatologies of Clouds and Humidity from Observations, Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2020-40, in press, 2020. Krämer, M., Rolf, C., Luebke, A., Afchine, A., Spelten, N., Costa, A., Meyer, J., Zöger, M., Smith, J., Herman, R. L., Buchholz, B., Ebert, V., Baumgardner, D., Borrmann, S., Klingebiel, M., and Avallone, L.: A Microphysics Guide to Cirrus Clouds – Part 1: Cirrus types, Atmos. Chem. Phys., 16, 3463–3483, 2016.
提供机构:
https://b2share.eudat.eu
创建时间:
2025-01-21
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作