de.koeln.rrzk/amd.de.hope/lim.rlmwr00.l4.humrSAMD v.1.0enHD(CP)2hope_lim_rlmwr00_l4_humrHD(CP)2 short term observations, humidity mixing ratio data of
Raman lidar + Microwave radiometer (no. 00), HOPE campaign by LIM,
data version 00Daily files of humidity mixing ratio profiles from a
combination of Raman lidar and microwave radiometerAndreas Foth (andreas.foth@uni-leipzig.de)Leipzig Institute for MeteorologySat Jan 23 17:09:00 2016Based on CF-1.6externalThis is original release of this file type.NETCDF3_CLASSIC0.54daily4For 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.Original Data from Leibniz Institute for Tropospheric
Research, Leipzig, processed by LIM, University of LeipzigInstitute for Meteorology, University of LeipzigAndreasFoth+49341 9732 892andreas.foth@uni-leipzig.de2013-04-012013-05-31300none90Both instruments are part of the LACROS facility that was
installed on the area of a sewage treatment plant in Krauthausen,
south of Juelich during the HOPE campaign.Humidity-mixing-ratio profiles averaged over 5
minutes in time and 90 meters in height, respectively, from a
combination of Raman lidar and microwave radiometer. The associated
error is also included as well as quality flags. Additionally the
cloud base altitude from the 1064nm range-corrected signal from the
Raman lidar and the truncation altitude are given. Truncation altitude
means where the Raman lidar profile is truncated. Usually at the cloud
base. When no Raman lidar water vapour measurements are taken (e.g.
during daytime) or when the background noise at the 387nm channel is
too high, the truncation altitude is set to the surface. Processing:
the Raman lidar signal ratio is first calibrated using the integrated
water vapour from the microwave radiometer (MWR). Then a Kalman filter
is apllied to these profiles to account for measurement disruption
(truncated profiles). The profiles are truncated at the cloud base in
case of clouds or at the surface in case of daytime when no Raman
lidar water vapour measurements are taken. The cloud base and the
truncation altitude are given in the according variables. The Kalman
filtered profile serves as the input (a priori) to the one-dimensional
variational retrieval (optimal estimation method) wherein the MWR
observation serves as measurement variable. The optimal estimated
profiles are stored in the humidity mixing ratio variable. Periods
without water vapour informations, cloud base from lidar, without MWR
measurements, flagged MWR observations, rainy periods or when the
retrieval does not find a solution, are marked in the flag variable.The errors above the truncation altitude are higher due to
the lower amount of vertical information from the Raman lidar. The
profiles in the lowermost 600 m may be biased due to the overlap
effect.none50.879636.4145497nonePollyXT is well described in Althausen et al. (2009).
HATPRO is a 14 channel K and V band microwave profiler, fully
scanable in azimuth and elevation.2015Foth et al.Water vapour profiles from Raman lidar automatically
calibrated by microwave radiometer data during HOPEIn this paper, we present a method to derive water vapour
profiles from Raman lidar measurements calibrated by the integrated
water vapour (IWV) from a collocated microwave radiometer during the
intense observation campaign HOPE in the frame of the HD(CP)2
initiative. The simultaneous observation of a microwave radiometer
and a Raman lidar allowed an operational and continuous measurement
of water vapour profiles also during cloudy conditions. The
calibration method provides results which are in a good agreement
with conventional methods based on radiosondes. The calibration
factor derived from the proposed IWV method is very stable with a
relative uncertainty of 5 %. This stability allows for the
calibration of the lidar even in the presence of clouds using the
calibration factor determined during the most recent clear sky
interval. Based on the application of this approach, it is possible
to retrieve water vapour profiles during all non-precipitating
conditions [...]http://www.atmos-chem-phys.net/15/7753/2015/acp-15-7753-2015.htmlShort term observationsHOPEVariable groupsAtmospheric state 111 2 time time time time seconds since 1970-01-01 00:00:00 UTC time_bnds time, nv lat latitude latitude degree_north lon longitude longitude degree_east zsl altitude altitude above mean sea level m height height height height above ground level m height_bnds height, nv humr time, height humidity_mixing_ratio humidity mixing ratio 1 humr_err time, height humidity mixing ratio error 1 flag time quality control flags zcb time cloud_base_altitude cloud base altitude m ztr time truncation altitude m