Data headers for 'METRAS_1981-2010_winter_v1_ds'

Record

1

Generation date

2024-09-13

Method

ncdump -h

Header

 netcdf METRAS_1981-2010_winter_v1_ds_1_7351934733458949031 { 
 dimensions: 
 	time = UNLIMITED ; // (144 currently) 
 	j = 223 ; 
 	i = 225 ; 
 	k = 1 ; 
 variables: 
 	float time(time) ; 
 		time:_FillValue = NaNf ; 
 		time:standard_name = "time" ; 
 		time:long_name = "time" ; 
 		time:axis = "T" ; 
 		time:units = "seconds since 2006-02-09" ; 
 		time:calendar = "proleptic_gregorian" ; 
 	float lon(j, i) ; 
 		lon:_FillValue = NaNf ; 
 		lon:standard_name = "longitude" ; 
 		lon:long_name = "scalar grid longitude" ; 
 		lon:units = "degree_east" ; 
 		lon:_CoordinateAxisType = "Lon" ; 
 	float lat(j, i) ; 
 		lat:_FillValue = NaNf ; 
 		lat:standard_name = "latitude" ; 
 		lat:long_name = "scalar grid latitude" ; 
 		lat:units = "degree_north" ; 
 		lat:_CoordinateAxisType = "Lat" ; 
 	float i(i) ; 
 		i:_FillValue = NaNf ; 
 		i:long_name = "i_position" ; 
 		i:units = "m" ; 
 		i:axis = "X" ; 
 	float j(j) ; 
 		j:_FillValue = NaNf ; 
 		j:long_name = "j_position" ; 
 		j:units = "m" ; 
 		j:axis = "Y" ; 
 	int k(k) ; 
 		k:long_name = "model level" ; 
 		k:positive = "up" ; 
 		k:axis = "Z" ; 
 		k:units = "1" ; 
 	float yzsurf(j, i) ; 
 		yzsurf:_FillValue = -999.f ; 
 		yzsurf:long_name = "surface_height" ; 
 		yzsurf:units = "m" ; 
 		yzsurf:structure = "0017" ; 
 		yzsurf:cell_methods = "j: i: mean" ; 
 		yzsurf:coordinates = "lat lon" ; 
 		yzsurf:missing_value = -999.f ; 
 	float rhosum(time, k, j, i) ; 
 		rhosum:_FillValue = -999.f ; 
 		rhosum:standard_name = "air_density" ; 
 		rhosum:long_name = "total_air_density" ; 
 		rhosum:units = "kg m-3" ; 
 		rhosum:structure = "4003" ; 
 		rhosum:cell_methods = "time: point k: j: i: mean" ; 
 		rhosum:coordinates = "lat lon" ; 
 		rhosum:missing_value = -999.f ; 
 	float x_wind(time, k, j, i) ; 
 		x_wind:_FillValue = -999.f ; 
 		x_wind:standard_name = "x_wind" ; 
 		x_wind:long_name = "x-wind" ; 
 		x_wind:units = "m s-1" ; 
 		x_wind:structure = "2003" ; 
 		x_wind:cell_methods = "time: point k: j: i: mean" ; 
 		x_wind:coordinates = "lat lon" ; 
 		x_wind:missing_value = -999.f ; 
 	float y_wind(time, k, j, i) ; 
 		y_wind:_FillValue = -999.f ; 
 		y_wind:standard_name = "y_wind" ; 
 		y_wind:long_name = "y-wind" ; 
 		y_wind:units = "m s-1" ; 
 		y_wind:structure = "2103" ; 
 		y_wind:cell_methods = "time: point k: j: i: mean" ; 
 		y_wind:coordinates = "lat lon" ; 
 		y_wind:missing_value = -999.f ; 
 	float z_wind(time, k, j, i) ; 
 		z_wind:_FillValue = -999.f ; 
 		z_wind:standard_name = "upward_air_velocity" ; 
 		z_wind:long_name = "z-wind" ; 
 		z_wind:units = "m s-1" ; 
 		z_wind:structure = "2200" ; 
 		z_wind:cell_methods = "time: point k: j: i: mean" ; 
 		z_wind:coordinates = "lat lon" ; 
 		z_wind:missing_value = -999.f ; 
 	float ff(time, k, j, i) ; 
 		ff:_FillValue = -999.f ; 
 		ff:standard_name = "wind_speed" ; 
 		ff:long_name = "horizontal wind speed" ; 
 		ff:units = "m s-1" ; 
 		ff:structure = "2301" ; 
 		ff:cell_methods = "time: point k: j: i: mean" ; 
 		ff:coordinates = "lat lon" ; 
 		ff:missing_value = -999.f ; 
 	float dd(time, k, j, i) ; 
 		dd:_FillValue = -999.f ; 
 		dd:standard_name = "wind_from_direction" ; 
 		dd:long_name = "wind direction" ; 
 		dd:units = "degree" ; 
 		dd:structure = "2302" ; 
 		dd:cell_methods = "time: point k: j: i: mean" ; 
 		dd:coordinates = "lat lon" ; 
 		dd:missing_value = -999.f ; 
 	float P_total(time, k, j, i) ; 
 		P_total:_FillValue = -999.f ; 
 		P_total:standard_name = "air_pressure" ; 
 		P_total:long_name = "total_air_pressure" ; 
 		P_total:units = "Pa" ; 
 		P_total:structure = "3400" ; 
 		P_total:cell_methods = "time: point k: j: i: mean" ; 
 		P_total:coordinates = "lat lon" ; 
 		P_total:missing_value = -999.f ; 
 	float treal(time, k, j, i) ; 
 		treal:_FillValue = -999.f ; 
 		treal:standard_name = "air_temperature" ; 
 		treal:long_name = "real_air_temperature" ; 
 		treal:units = "degree_C" ; 
 		treal:structure = "5006" ; 
 		treal:cell_methods = "time: point k: j: i: mean" ; 
 		treal:coordinates = "lat lon" ; 
 		treal:missing_value = -999.f ; 
 	float rh(time, k, j, i) ; 
 		rh:_FillValue = -999.f ; 
 		rh:standard_name = "relative_humidity" ; 
 		rh:long_name = "relative humidity" ; 
 		rh:units = "1" ; 
 		rh:structure = "7006" ; 
 		rh:cell_methods = "time: point k: j: i: mean" ; 
 		rh:coordinates = "lat lon" ; 
 		rh:missing_value = -999.f ; 
 	float zsmet(k, j, i) ; 
 		zsmet:_FillValue = NaNf ; 
 		zsmet:standard_name = "height" ; 
 		zsmet:long_name = "vertical_distance_above_ground" ; 
 		zsmet:units = "m" ; 
 		zsmet:positive = "up" ; 
 		zsmet:coordinates = "lat lon" ; 
 		zsmet:missing_value = NaNf ; 
  
 // global attributes: 
 		:CDI = "Climate Data Interface version 2.0.5 (https://mpimet.mpg.de/cdi)" ; 
 		:source = "METRAS" ; 
 		:institution = "Meteorological Institute, University of Hamburg" ; 
 		:Conventions = "CF-1.8 ATMODAT-3.0" ; 
 		string :comment = "This work was supported by the project KLIMZUG-NORD, funded under grant 01LR0805D by the German Federal Ministry of Education and Research, by the Cluster of Excellence \'CliSAP\' (EXC177), University of Hamburg, funded through the German Science Foundation (DFG) and by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany‘s Excellence Strategy – EXC 2037 \'CLICCS - Climate, Climatic Change, and Society\' – Project Number: 390683824, contribution to the Center for Earth System Research and Sustainability (CEN) of Universität Hamburg." ; 
 		:contact = "Marita Boettcher, Meteorological Institute (MI), University of Hamburg (UHH), 
 marita.boetcher@nulluni-hamburg.de, ORCHID: https://orcid.org/0000-0002-4376-9982" ; 
 		:creation_date = "2024-09-05T10:26:57" ; 
 		:creator = "Marita Boettcher, Meteorological Institute (MI), University of Hamburg (UHH), 
 marita.boetcher@nulluni-hamburg.de, ORCHID: https://orcid.org/0000-0002-4376-9982" ; 
 		:geospatial_lat_resolution = "250 m" ; 
 		:geospatial_lon_resolution = "250 m" ; 
 		:geospatial_vertical_resolution = "20 m" ; 
 		:institution_id = "https://ror.org/00g30e956" ; 
 		:keywords = "EARTH SCIENCE >  ATMOSPHERE >  ATMOSPHERIC TEMPERATURE >  SURFACE TEMPERATURE > AIR TEMPERATURE, EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC PRESSURE > SEA LEVEL PRESSURE, EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC PRESSURE > AIR MASS/DENSITY, EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WINDS > SURFACE WINDS, EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WATER VAPOR, Urban-Atmosphere, Hamburg" ; 
 		:keywords_vocabulary = "GCMD, GCMD, GCMD, GCMD, GCMD, None, geoNames" ; 
 		:license = "CC BY 4.0" ; 
 		:processing_level = "Model output, adapted to be conformant with the ATMODAT standard version 3.0" ; 
 		:product_version = "1.0" ; 
 		:program = "KLIMZUG-NORD, CliSAP, CLICCS" ; 
 		:project = "UHH_MI_MEMI" ; 
 		:realm = "atmos" ; 
 		string :references = "Schluenzen et al. (2018) Technical Documentation of the Multiscale Model System M-SYS,  https://www.mi.uni-hamburg.de/en/arbeitsgruppen/memi/modelle/dokumentation.html \nBoettcher et al. (in prep.) Strategies for Statistical-Dynamical Downscaling to Urban Climate using Global Data\nBöttcher, M. (2017): Selected climate mitigation and adaptation measures and their impact on the climate of the region of Hamburg, https://ediss.sub.uni-hamburg.de/handle/ediss/7546" ; 
 		:standard_name_vocabulary = "CF Standard Name Table v78" ; 
 		string :summary = "This data contains results of the mesoscale transport and stream model METRAS (Schlünzen et al., 2018) for one of the 43 winter situations described in detail in Boettcher et al. (in prep.). Combined they characterise the Hamburg urban winter climate based on statistical-dynamical downscaling (Boettcher et al., in prep.). The situation selection is based on analysed in-situ data for years 1981 to 2010 (Boettcher et al., in prep.). The data include wind speed, wind direction, wind components, real air temperature, relative humidity, total air pressure and total air density at lowest model level (about 10 m above ground). A non-uniform grid is used. The data cover an area of approximately 240 x 240 km² with a horizontal spatial solution of 6000 m at the lateral boundaries and down to 250 m resolution in the inner domain. Forcing data are ECMWF analysis data at lateral and upper model boundaries. Each situation covers 3 days of model time. Data have a resolution of 30 minutes. " ; 
 		:title = "Hamburg urban winter climate data on 250 m resolution" ; 
 		:geospatial_bounds = "POLYGON (( 84 6, 84 12, 0 12, 0 6, 84 6))" ; 
 		:geospatial_bounds_crs = "EPSG:32632" ; 
 		:history = "Fri Sep 06 12:49:28 2024: cdo seltimestep,12/155 new_nc2atmodat_BPLIWI02j4.nc wdcc_BPLIWI02.nc\nTue Aug 20 2024: data created with with m2cdf \nThu Sep 05 2024: data standardised with nc2atmodat.py" ; 
 		:CDO = "Climate Data Operators version 2.0.5 (https://mpimet.mpg.de/cdo)" ; 
 		:coordinates = "lat lon" ; 
 }