Bronze level automatically awarded US beta
This data has achieved Bronze level on 25 October 2015 which means this data makes a great start at the basics of publishing open data.
This product is similar to AIRX3STD. However, it contains science retrievals that use the Humidity Sounder for Brazil (HSB). Because the HSB instrument lived only from September 2002 through January 2003 when it terminally failed, the data set covers these five months only. The AIRS Level 3 Daily Gridded Product contains standard retrieval means, standard deviations and input counts. Each file covers a temporal period of 24 hours for either the descending (equatorial crossing North to South @1:30 AM local time) or ascending (equatorial crossing South to North @1:30 PM local time) orbit. The data starts at the international dateline and progresses westward (as do the subsequent orbits of the satellite) so that neighboring gridded cells of data are no more than a swath of time apart (about 90 minutes). The two parts of a scan line crossing the dateline are included in separate L3 files, according to the date, so that data points in a grid box are always coincident in time. The edge of the AIRS Level 3 gridded cells is at the date line (the 180E/W longitude boundary). When plotted, this produces a map with 0 degrees longitude in the center of the image unless the bins are reordered. This method is preferred because the left (West) side of the image and the right (East) side of the image contain data farthest apart in time. The gridding scheme used by AIRS is the same as used by TOVS Pathfinder to create Level 3 products. The daily Level 3 products have gores between satellite paths where there is no coverage for that day. The geophysical parameters have been averaged and binned into 1 x 1 grid cells, from -180.0 to +180.0 deg longitude and from -90.0 to +90.0 deg latitude. For each grid map of 4-byte floating-point mean values there is a corresponding 4-byte floating-point map of standard deviation and a 2-byte integer grid map of counts. The counts map provides the user with the number of points per bin that were included in the mean and can be used to generate custom multi-day maps from the daily gridded products. The thermodynamic parameters are: Skin Temperature (land and sea surface), Air Temperature at the surface, Profiles of Air Temperature and Water Vapor, Tropopause Characteristics, Column Precipitable Water, Cloud Amount/Frequency, Cloud Height, Cloud Top Pressure, Cloud Top Temperature, Reflectance, Emissivity, Surface Pressure, Cloud Vertical Distribution. The trace gases parameters are: Total Amounts and Vertical Profiles of Carbon Monoxide, Methane, and Ozone. The actual names of the variables in the data files should be inferred from the Processing File Description document. (The Shortname for this product is AIRH3STD).
http://catalog.data.gov/dataset/airs-aqua-level-3-daily-standard-physical-retrieval-airsamsuhsb-v005-a1939 Do you think this data is incorrect? Let us know
National Aeronautics and Space Administration Do you think this data is incorrect? Let us know
http://catalog.data.gov/dataset/airs-aqua-level-3-daily-standard-physical-retrieval-airsamsuhsb-v005-a1939 Do you think this data is incorrect? Let us know
Creative Commons CCZero Do you think this data is incorrect? Let us know
yes, and the rights are all held by the same person or organisation Do you think this data is incorrect? Let us know
Creative Commons CCZero Do you think this data is incorrect? Let us know
its data licence Do you think this data is incorrect? Let us know
no data about individuals Do you think this data is incorrect? Let us know
http://catalog.data.gov/organization/nasa-gov Do you think this data is incorrect? Let us know
go out of date but it is timestamped Do you think this data is incorrect? Let us know
backed up offsite Do you think this data is incorrect? Let us know
http://acdisc.sci.gsfc.nasa.gov/daac-bin/wcsAIRSL3?service=WCS&version=1.0.0&request=GetCoverage&CRS=EPSG:4326&format=netCDF&resx=1.0&resy=1.0&BBOX=-179.5,-89.5,179.5,89.5&Coverage=AIRH3STD:CO_total_column_D Do you think this data is incorrect? Let us know
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