Keyword

observational data

112 record(s)

 

Provided by

Type of resources

Keywords

Contact for the resource

From 1 - 10 / 112
  • The research aircraft DO-128, call sign D-IBUF, of the IFF (TU Braunschweig) measures numerous meteorological and chemical variables to get a better understanding of the atmospheric processes which cause the development of precipitation. The aircraft starts from the Baden Airpark and flys among different flight pattern which are described in the flight protocols. The meteorological variables are static pressure and dynamic pressure at the nose boom, surface temperature, humidity mixing ratio by a lyman-alpha sensor, dewpoint temperature by a dewpoint-mirror, relative humidity by an aerodata-humicap, air temperature by a PT-100 sensor, vertical and horizontal wind components by a five-hole probe and GPS, turbulence (100 Hz), shortwave (pyranometer) and longwave (pyrgeometer) radiance in upper und lower half space. The chemical variables are mole fractions of ozone, carbon dioxide, carbon monoxide, nitrogen dioxide, nitrogen monoxide and nitric oxides (NOx). There are also a few variables for the position and the velocity of the aircraft stored in the data file. Additionally to the measurements by the aircraft, up to 30 drop-sondes can be dropped out of the aircraft. By using these sondes, vertical profiles of temperature, pressure, humidity and wind can be detected (see also the meta data describing the drop-sonde data). Special events are also marked in the data files by the event counter (e.g. dropping times of the drop-sondes, marks concerning the flight patterns etc.). The specific action or flight manoeuvre indicated by the event_number can be identified in the flight protocol.

  • The energy balance stations run by University of Bayreuth continuously measured radiation and soil parameters over different land types with a sampling frequency of 1 Hz averaged to 1 min values within the data logger. After a check for plausibility the 1 min values have been averaged to 30 min intervals, which are provided in this data set. The instrumentation was different on each location. The following was measured depending on the station: - soil heat flux - soil temperature - volumetric soil water content - longwave radiation components - shortwave radiation components - tipping bucket rain gauge measurements The ground heat flux including the heat storage in the upper soil layer was determined from the measured soil heat flux, soil temperatures and volumetric soil water contents according to the 'simple measurement' (SM) method according to Liebethal and Foken (2007).

  • KONTROL 1985 is part of research activities focused on organized convection phenomena as they are often manifested in organized cloud patterns like the well-known boundary layer cloud streets or open and closed cellular cloud structures. The experimental part of the investigations began with the experiment KonTur (Konvektion and Turbulenz) in September and October 1981. It continued with the experiments KONTROL in August 1984 and KONTROL in October 1985. All experiments took place over the German Bight in the southeastern part of the North Sea. The experimental concept based on the use of three fixed stations performing continuous aerological and surface observations and two aircraft conducting detailed observations during special periods. The stations were the island of Heligoland, the research vessel Valdivia and the research platform NORDSEE (54°42'N, 7°10'E). The aircraft were a FALCON-20 of DFVLR and a DO-28 Skyservant of the TU Braunschweig.

  • University of Leeds radiosonde (Vaisala RS80 and RS92-SGP), Hornisgrinde site 2007-06-11 to 2007-08-30 University of Leeds radiosonde (Vaisala RS80 and RS92-SGP), Achern site 2007-06-05 to 2007-08-30

  • The positions of the meteorological towers (IMKMT1 to IMKMT4) are identical with the positions of the launching sites of the drop-up-sondes (IMKRS1 to IMKRS5). There have been no more than 4 teams operating on each IOP. For detailed information about the sites (including a map) and operating days see supplement pdf-file (cops_rsdu_imk_info_1). The parameters are: air_pressure: measured at about 1.8 m GND by a barometric pressure sensor that has a gill pressure port, 60s mean. air_temperature_at_1.8m: measured at about 1.8 m GND by a HYGROMER meteorology probe MP 400a, 60s mean. relative_humidity_at_1.8m: measured at about 1.8 m GND by a HYGROMER meteorology probe MP 400a, 60s mean. precipitation_amount: measured by a tipping bucket rain gauge (catchment area: 200 cm**2), 60s accumulated. wind_speed_at_4.5m, wind_from_direction_at_4.5m, virtual_temperature_at_4.5m: measured at about 4.5 m by a Young 3-D Sonic Anemometer, 60s mean.

  • The 9 m profile mast run by University of Bayreuth continuously measured profiles of the wind speed, the air temperature and the water vapor pressure above a corn field with a sampling frequency of 1 Hz averaged to 1 min values within the data logger. Six cup anemometers and five psychrometers have been mounted in different heights. After a check for plausibility the 1 min values have been averaged to 30 min intervals, which are provided in this data set. The following instruments have been installed for the parameters given below: - wind speed: F460 cup anemometer (Climatronics Corp.) - temperature and water vapor pressure: electrically aspirated psychrometer (Frankenberger) The water vapor pressure has been calculated from the measured dry and moist thermometer temperatures of the psychrometer according to Sprung's psychrometer formula.

  • The two energy balance station run by Meteo-France/CNRM measured high-frequency (20 Hz) eddy-covariance raw data with a Solent-HS (Gill Instruments Ltd.) sonic anemometer and a LI-7500 (LI-COR Biosciences) hygrometer above the target land use type corn. The measuring set-up was continuously running during July 2007 in order to provide turbulent flux data of momentum, sensible and latent heat as well as carbon dioxide. Post-processing was performed using the software package TK2 (developed by the Department of Micrometeorology, University of Bayreuth) which produces quality assured turbulent flux data with an averaging interval of 30 min. The documentation and instruction manual of TK2 (see entry cops_nebt_ubt_info_1) and additional references about the applied flux corrections and post-field data quality control (see entry cops_nebt_ubt_info_2) as well as a document about the general handling of the flux data can be found in supplementary pdf-files within the energy balance and turbulence network (NEBT) experiment of the data base. The turbulent flux data in this data set are flagged according to their quality and checked for an impact of possible internal boundary layers. Additionally, the flux contribution from the target land use type intended to be observed to the total flux measured was calculated applying footprint modeling. Information and references about the internal boundary layer evaluation procedure and the footprint analysis are also given in additional info pdf-files. Pictures of the footprint climatology of the station as related to the land use and to the spatial distribution of the quality flags are included in the additional info pdf-file corresponding to the individual station.

  • EARLINET climatological lidar observations are performed on a regular schedule of one daytime measurement per week around noon (on Monday), when the boundary layer is usually well developed, and two night-time measurements per week (on Monday and Thursday), with low background light, in order to perform Raman extinction measurements. This regular schedule for observations minimizes the bias in the dataset possibly related to specific measurement conditions. The resulting dataset is used to obtain unbiased data for climatological studies. This dataset contains profiles of aerosol extinction, backscatter and lidar ratio. Several aerosol extinction/backscatter datasets can be present for the same climatological measurement in order to provide profiles either with a better temporal resolution or with an extended height range by using a larger temporal average. This is by far the largest dataset on the aerosol vertical distribution, and it is the only one which is collected systematically and is covering a whole continent.

  • The field experiments ALKOR 2000 (consisting of three cruises: ALKOR 4/2000, 6/2000, 10/2000) and ALKOR 2001 (4/2001, 6/2001, 10/2001) took place in the central Baltic Sea. The six cruises of the German Research Vessel Alkor with duration of about seven days each led to a point of the Baltic Sea which is most remote from the adjacent lands and additionally a grid point of regional climate model REMO. The ALKOR experiments as well as BASIS 1998 and BASIS 2001 are part of the research compound BALTIMOS (BALTic sea Integrated MOdel System). BALTIMOS in turn is part of the Baltic Sea Experiment (BALTEX). The overall objective of all eight field experiments (ALKOR and BASIS) was to collect a comprehensive data set suited to validate the coupled model system BALTIMOS for the Baltic Sea region. The observations mainly focus on: - the atmospheric boundary layer structure and processes and the air-sea-ice interaction over areas with inhomogeneous sea ice cover - the atmospheric boundary layer structure over open water under different synoptic conditions such as cold-air advection, warm-air advection or frontal passages. In addition to the published datasets several other measurements were performed during the experiment. Corresonding datasets will be published in the near future and are available on request. Details about all used platforms and sensors and all performed measurements are listed in the fieldreport. The following datasets are available on request: ground data at RV Alkor

  • The two instuments were: Scintec Sodar (MFAS) at Igelsberg, located near a waste disposal site. The device measures wind vectors every ten minutes. Metek RASS-Sodar in Bad-Rotenfels, located near a sewage treatment plant. The vertical wind component in the netCDF-files has been set to dummy values due to quality check failure for this variable.

Barrierefreiheit | Datenschutz | Impressum