netcdf classic (CDF-1) {
dimensions:
	lon = 480 ;
	lat = 540 ;
// global attributes:
		:Conventions = "CF-1.5" ;
		:history = "PNPR Dataset Version 2.0 (gridded precipitation rate)" ;
		:source = "Precipitation retrieval for AMSU/MHS observations by a neural network algorithm." ;
		:institution = "Institute of Atmospheric Sciences and Climate - Italian National Research Council (CNR-ISAC) - Rome" ;
		:publisher name = "Anna Cinzia Marra" ;
		:publisher email = "annacinzia.marra@artov.isac.cnr.it" ;
		:title = "Gridded Precipitation Rate Estimate from PNPR" ;
		:resolution = "The product is provided on a regular grid at 0.25° x 0.25° resolution" ;
		:references = "P. Sano' et al. The Passive microwave Neural network Precipitation Retrieval (PNPR) algorithm for AMSU/MHS observations: description and application to European case studies. Atmos. Meas. Tech. Discuss., 7, 9351-9411, 2014 doi:10.5194/amtd-7-9351-2014" ;
		:Project = "Earth2Observe" ;
		:acknowledgement = "The EartH2Observe project has received funding from the European Union Seventh Programme for research, technological development and demonstration under grant agreement No 603608" ;
variables:
	double lon(lon) ;
		lon:standard_name = "longitude" ;
		lon:long_name = "longitude" ;
		lon:units = "degrees_east" ;
		lon:axis = "X" ;
	double lat(lat) ;
		lat:standard_name = "latitude" ;
		lat:long_name = "latitude" ;
		lat:units = "degrees_north" ;
		lat:axis = "Y" ;
	float rr(lat, lon) ;
		rr:long_name = "precipitation rate" ;
		rr:units = "mm/hr" ;
		rr:_FillValue = -9.9989996 ;
		rr:missing_value = -9.9989996 ;
		rr:short_name = "rr" ;
		rr:FillValue = "-9.999" ;
// lon: first -59.875, last 59.875, count 480
// lat: first -59.875, last 74.875, count 540
}