OPeNDAP Dataset Query Form

OPeNDAP Dataset Access Form

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Global Attributes:	cloudnet_Conventions: CF-1.0 cloudnet_location: Leipzig cloudnet_title: Cloud categorization products from Leipzig, 2014-05-02 cloudnet_day: 2.0 cloudnet_month: 5.0 cloudnet_year: 2014.0 cloudnet_history: 29 Jul 2014 06:17:10 - Generated from level 1 data by <Patric Seifert seifert@tropos.de> Radar history: Original data has been averaged to 30 seconds. Lidar history: cloudnet_source: 35.5 GHz Cloud radar MIRA Radar type: Monostatic, pulsed, magnetron Peak Power 30 kW Antenna Type: Cassegrain 1.2 m Antenna Beam Width: 0.5 deg; POllyXT; COSMO-EU; Parsivel 2 optical disdrometer; MWR-PRO V03 Retrieval with offset correction applied to HATPRO raw data. cloudnet_institution: Data produced at TROPOS, Leipzig, Germany Microwave radiometer institution: TROPOS cloudnet_reference: Documentation may be found at http://www.met.rdg.ac.uk/radar/doc/categorization.html cloudnet_software_version: 0.10.2 cloudnet_comment: This dataset is an aggregation of data from cloud radar, lidar, a numerical forecast model and optionally a rain gauge and microwave radiometer. It is intended to facilitate the application of synergistic cloud-retrieval algorithms by performing a number of the preprocessing tasks that are common to these algorithms. Each of the observational datasets has been interpolated on to the same grid, although the model data are provided on a reduced height grid. Radar reflectivity has been corrected for attenuation, where possible, and two additional fields have been added: "category_bits" contains a categorization of the targets in each pixel and "quality_bits" indicates the quality of the data at each pixel. Finally, estimates of the random and systematic errors in reflectivity factor and attenuated backscatter are provided. Title: Cloudnet categorization dataset Institution: Leibniz Institut for Tropospheric Research (TROPOS), Leipzig, Germany Contact_person: Patric Seifert (seifert@tropos.de, TROPOS, Permoserstr. 15, 04318 Leipzig, Germany) Source: Cloudnet-processed remote-sensing data. See the global argument cloudnet_source for more details. History: Data processed with convert_cloudnet_classification2hdcp.m by TROPOS, Version: 2.1. [1.1 Hirsikko] Taking height of station above ground into account. [2.0, Seifert] Time gaps are filled with NANs. [2.1, Seifert] Full-day files are created. Conventions: CF-1.6 where applicable Processing_date: 2017-10-06 08:53:40 Author: Patric Seifert, seifert@tropos.de Comments: This dataset is based on data processed with cloudnet. Cloudnet is member of ACTRIS and data is available for numerous sites in addition to those of HD(CP)2. See http://actris.nilu.no/ for details. There is a distinct data policy agreement between HD(CP)2 and ACTRIS to manage the sharing of datasets between both projects. The nc conventions of the original cloudnet-nc-files were slightly modified to fit HD(CP)2 file conventions. In addition, not all variables of the original cloudnet-nc-files are contained in the HD(CP)2 files. The original comments and global arguments of cloudnet present in the nc files were renamed to cloudnet_ARGUMENT_NAME. Licence: For non-commercial use only. This data is subject to the SAMD data policy to be found at www.icdc.cen.uni-hamburg.de/projekte/samd.html and in the SAMD Observation Data Product standard. Dependencies: external Station_name: LACROS field site at leipzig Unlimited_Dimension: time

Variables:	time: Array of 64 bit Reals [time = 0..2879] time: standard_name: time long_name: time of profile units: seconds since 1970-01-01 00:00:00 bounds: time_bnds
	time_bnds: Array of 64 bit Reals [time = 0..2879][nv = 0..1] time: nv:
	zag: Array of 32 bit Reals [height = 0..429] height: standard_name: height long_name: height above ground units: m bounds: zag_bnds
	zag_bnds: Array of 32 bit Reals [height = 0..429][nv = 0..1] height: nv:
	model_height: Array of 32 bit Reals [model_height = 0..33] model_height: long_name: altitude of model data above mean sea level units: m bounds: model_height_bnds
	model_height_bnds: Array of 32 bit Reals [model_height = 0..33][nv = 0..1] model_height: nv:
	zsl: 32 bit Real zsl standard_name: altitude long_name: Altitude above mean sea level units: m
	lon: 32 bit Real lon standard_name: longitude units: degree_east
	lat: 32 bit Real lat standard_name: latitude units: degree_north
	ta: Grid time: model_height: standard_name: air_temperature units: K _FillValue: -999.0
	wdir: Grid time: model_height: standard_name: wind_from_direction long_name: wind direction units: degree _FillValue: -999.0
	wspeed: Grid time: model_height: long_name: wind speed units: m s-1 _FillValue: -999.0
	hus: Grid time: model_height: standard_name: specific_humidity long_name: specific humidity units: kg kg-1 _FillValue: -999.0
	pa: Grid time: model_height: standard_name: air_pressure long_name: Air pressure units: Pa _FillValue: -999.0
	rr: Array of 32 bit Reals [time = 0..2879] time: standard_name: rainfall_rate long_name: rain rate units: m s-1 _FillValue: -999.0
	category_bits: Array of 16 bit Unsigned Integers [time = 0..2879][height = 0..429] time: height: long_name: target categorization bits units: 1 definition: Bit 0: Small liquid droplets are present. Bit 1: Falling hydrometeors are present; if Bit 2 is set then these are most likely to be ice particles, otherwise they are drizzle or rain drops. Bit 2: Wet-bulb temperature is less than 0 degrees C, implying the phase of Bit-1 particles. Bit 3: Melting ice particles are present. Bit 4: Aerosol particles are present and visible to the lidar. Bit 5: Insects are present and visible to the radar. Bit 7: Missing Value comment: Use unsigned int8 as reference! This variable contains information on the nature of the targets at each pixel, thereby facilitating the application of algorithms that work with only one type of target. The information is in the form of an array of bits, each of which states either whether a certain type of particle is present (e.g. aerosols), or the whether some of the target particles have a particular property. The definitions of each bit are given in the definition attribute. Bit 0 is the least significant. Bit 7 (2^7=128) is not Cloudnet standard. It was added for HDCP2. _FillValue: 128 _Unsigned: True
	quality_bits: Array of 16 bit Unsigned Integers [time = 0..2879][height = 0..429] time: height: long_name: data quality bits units: 1 definition: Bit 0: An echo is detected by the radar. Bit 1: An echo is detected by the lidar. Bit 2: The apparent echo detected by the radar is ground clutter or some other non-atmospheric artifact. Bit 3: The echo detected by the lidar is due to clear-air molecular scattering. Bit 4: Liquid water cloud, rainfall or melting ice below this pixel will have caused radar and lidar attenuation; if bit 5 is set then a correction for the radar attenuation has been performed; otherwise do not trust the absolute values of reflectivity factor. No correction is performed for lidar attenuation. Bit 5: Radar reflectivity has been corrected for liquid-water attenuation using the microwave radiometer measurements of liquid water path and the lidar estimation of the location of liquid water cloud; be aware that errors in reflectivity may result. Bit 7: Missing Value comment: Use unsigned int8 as reference! This variable contains information on the quality of the data at each pixel. The information is in the form of an array of bits, and the definitions of each bit are given in the definition attribute. Bit 0 is the least significant. Bit 7 (2^7=128) is not Cloudnet standard. It was added for HDCP2. _FillValue: 128 _Unsigned: True
	target_classification: Array of 16 bit Unsigned Integers [time = 0..2879][height = 0..429] time: height: long_name: target classification units: 1 definition: 0: Clear sky 1: Cloud droplets only 2: Drizzle or rain 3: Drizzle/rain & cloud droplets 4: Ice 5: Ice & supercooled droplets 6: Melting ice 7: Melting ice & cloud droplets 8: Aerosol 9: Insects 10: Aerosol & insects 128: Missing Value long_definition: Use unsigned int8 as reference! 0: Clear sky 1: Cloud liquid droplets only 2: Drizzle or rain 3: Drizzle or rain coexisting with cloud liquid droplets 4: Ice particles 5: Ice coexisting with supercooled liquid droplets 6: Melting ice particles 7: Melting ice particles coexisting with cloud liquid droplets 8: Aerosol particles, no cloud or precipitation 9: Insects, no cloud or precipitation 10: Aerosol coexisting with insects, no cloud or precipitation 128: (Bit 7 = true) is not Cloudnet standard. It was added for HDCP2. _FillValue: 128 _Unsigned: True
	detection_status: Array of 16 bit Unsigned Integers [time = 0..2879][height = 0..429] time: height: long_name: detection status units: 1 definition: 0: Clear sky 1: Lidar echo only 2: Radar echo but uncorrected atten. 3: Good radar & lidar echos 4: No radar but unknown attenuation 5: Good radar echo only 6: No radar but known attenuation 7: Radar corrected for liquid atten. 8: Radar ground clutter 9: Lidar molecular scattering 128: Missing Value long_definition: Use unsigned int8 as reference! 0: Clear sky 1: Lidar echo only 2: Radar echo but reflectivity may be unreliable as attenuation by rain, melting ice or liquid cloud has not been corrected 3: Good radar and lidar echos 4: No radar echo but rain or liquid cloud beneath mean that attenuation that would be experienced is unknown 5: Good radar echo only 6: No radar echo but known attenuation 7: Radar echo corrected for liquid cloud attenuation using microwave radiometer data 8: Radar ground clutter 9: Lidar clear-air molecular scattering 128: (Bit 7 = true) is not Cloudnet standard. It was added for HDCP2. _FillValue: 128 _Unsigned: True
	zcb: Array of 32 bit Reals [time = 0..2879][layer = 0..0] time: layer: standard_name: cloud_base_altitude long_name: cloud base altitude units: m comment: This variable was calculated from the instance of cloud in the cloud mask variable and provides cloud base height for a maximum of 1 cloud layers _FillValue: -999.0
	zgct: Array of 32 bit Reals [time = 0..2879][layer = 0..0] time: layer: standard_name: cloud_top_altitude long_name: cloud top altitude units: m comment: This variable was calculated from the instance of cloud in the cloud mask variable and provides cloud base top for a maximum of 1 cloud layers _FillValue: -999.0

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DDS:

Dataset {
    Float64 time[time = 2880];
    Float64 time_bnds[time = 2880][nv = 2];
    Float32 zag[height = 430];
    Float32 zag_bnds[height = 430][nv = 2];
    Float32 model_height[model_height = 34];
    Float32 model_height_bnds[model_height = 34][nv = 2];
    Float32 zsl;
    Float32 lon;
    Float32 lat;
    Grid {
     ARRAY:
        Float32 ta[time = 2880][model_height = 34];
     MAPS:
        Float64 time[time = 2880];
        Float32 model_height[model_height = 34];
    } ta;
    Grid {
     ARRAY:
        Float32 wdir[time = 2880][model_height = 34];
     MAPS:
        Float64 time[time = 2880];
        Float32 model_height[model_height = 34];
    } wdir;
    Grid {
     ARRAY:
        Float32 wspeed[time = 2880][model_height = 34];
     MAPS:
        Float64 time[time = 2880];
        Float32 model_height[model_height = 34];
    } wspeed;
    Grid {
     ARRAY:
        Float32 hus[time = 2880][model_height = 34];
     MAPS:
        Float64 time[time = 2880];
        Float32 model_height[model_height = 34];
    } hus;
    Grid {
     ARRAY:
        Float32 pa[time = 2880][model_height = 34];
     MAPS:
        Float64 time[time = 2880];
        Float32 model_height[model_height = 34];
    } pa;
    Float32 rr[time = 2880];
    UInt16 category_bits[time = 2880][height = 430];
    UInt16 quality_bits[time = 2880][height = 430];
    UInt16 target_classification[time = 2880][height = 430];
    UInt16 detection_status[time = 2880][height = 430];
    Float32 zcb[time = 2880][layer = 1];
    Float32 zgct[time = 2880][layer = 1];
} ftpthredds/samd/data/cln/00/class/l4/sups/lac/2014/sups_lac_cln00_l4_class_v00_20140502000015.nc;

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