de.koeln.rrzk/amd.de.sups/lac.cln00.l4.iwcSAMD v.1.0enHD(CP)2sups_lac_cln00_l4_iwcHD(CP)2 long term observations, frozen phase water content
(height resolved) data of Cloudnet products (no. 00), by Supersite
LACROS, data version 00Cloudnet ice water content datasetPatric Seifert, seifert@tropos.deLeibniz Institut for Tropospheric Research (TROPOS),
Leipzig, Germany2016-10-10 08:04:46CF-1.6 where applicableexternalinitial version, similar to v01 of hope dataset.NETCDF3_CLASSIC20daily4For non-commercial use only. This data is subject to the
HD(CP)2/SAMD data policy to be found at https://doi.org/10.25592/uhhfdm.9823 and in the HD(CP)2/SAMD
Observation Data Product Standard https://doi.org/10.5281/zenodo.1741363. In addition the data is subject to
the Data Protocol Agreement between ACTRIS and HD(CP)2 for the common
use of Cloudnet products, see file header.Cloudnet-processed remote-sensing data. See the global
argument *cloudnet_source* for more details.Leibniz Institute for Tropospheric Research, LeipzigPatricSeifert+49341 2717 7080seifert@tropos.de2011-08-102016-01-0130none30The instrument is part of the LACROS facility that is
operated in the area around TROPOS in Leipzig, plus COSMO-EU model
output for the gridpoint of Leipzig.This file includes the ice water content derived
with the iwc-Z-T method of Hogan et al., 2006 (see references),
including the error and bias. A separate iwc data set is stored that
contains iwc for profiles where attenuation by rain or liquid water
occurred below an iwc data point. This dataset is subject to larger
uncertainties due to wrong attenuation correction. The classificiation
of ice pixels is based on the cloudnet target categorization.nonenone51.35312.4341172none51.3513812.40138nonenone3-5 hour forecast of COSMO-EU model run.2006Hogan, R. J., Mittermaier, M. P. and Illingworth, A. J.The retrieval of ice water content from radar reflectivity
factor and temperature and its use in evaluating a mesoscale modelIce clouds are an important yet largely unvalidated
component of weather forecasting and climate models, but radar
offers the potential to provide the necessary data to evaluate them.
First in this paper, coordinated aircraft in situ measurements and
scans by a 3-GHz radar are presented, demonstrating that, for
stratiform midlatitude ice clouds, radar reflectivity in the
Rayleigh-scattering regime may be reliably calculated from aircraft
size spectra if the "Brown and Francis" mass-size
relationship is used. The comparisons spanned radar reflectivity
values from -15 to +20 dBZ, ice water contents (IWCs) from 0.01 to
0.4 g m(-3), and median volumetric diameters between 0.2 and 3 mm.
In mixed-phase conditions the agreement is much poorer because of
the higher-density ice particles present. A large midlatitude
aircraft dataset is then used to derive expressions that relate
radar reflectivity and temperature to ice water content and visible
extinction coefficient [...]http://www.met.rdg.ac.uk/radar/doc/categorization.html2006Ewan O'ConnorLevel 2a Cloudnet product: Ice water content
(radar/temperature method)nonehttp://www.cloud-net.org/data/products/iwc-Z-T-method.htmlLong term observationsLocal observationsSupersitesLACROSLong term observationsLocal observationsInstrument groupsRadarLong term observationsLocal observationsVariable groupsCloud properties 491 2 time time time time of profile seconds since 1970-01-01 00:00:00 time_bnds time, nv zag height height height above ground m zag_bnds height, nv zsl altitude Altitude above mean sea level m lon longitude degree_east lat latitude degree_north iwc time, height mass concentration of frozen water in air kg m-3 iwc_error time, height error of mass concentration of frozen water in air dB iwc_bias bias of mass concentration of frozen water in air dB iwc_inc_rain time, height mass concentration of frozen water in air including rainy
profiles kg m-3 iwc_sensitivity height sensitivity of mass concentration of frozen water in air kg m^-3 iwc_retrieval_status time, height mass concentration of frozen water in air retrieval
status 1