de.koeln.rrzk/amd.de.hope/lim.rlmwr00.l4.humr SAMD v.1.0 en HD(CP)2 hope_lim_rlmwr00_l4_humr HD(CP)2 short term observations, humidity mixing ratio data of Raman lidar + Microwave radiometer (no. 00), HOPE campaign by LIM, data version 00 Daily files of humidity mixing ratio profiles from a combination of Raman lidar and microwave radiometer Andreas Foth (andreas.foth@uni-leipzig.de) Leipzig Institute for Meteorology Sat Jan 23 17:09:00 2016 Based on CF-1.6 external This is original release of this file type. NETCDF3_CLASSIC 0.54 daily 4 For 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 Leipzig Institute for Meteorology, University of Leipzig Andreas Foth +49 341 9732 892 andreas.foth@uni-leipzig.de 2013-04-01 2013-05-31 300 none 90 Both 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. none Raman lidar PollyXT and microwave radiometer HATPRO 50.87963 6.41454 97 none PollyXT 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.

paper

2015 Foth et al. In 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.html Short term observations HOPE Variable groups Atmospheric state 288 111 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