Changes between Version 8 and Version 9 of PointObservationConventions


Ignore:
Timestamp:
10/26/09 11:25:49 (10 years ago)
Author:
caron
Comment:

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  • PointObservationConventions

    v8 v9  
    594594}}}
    595595
    596 The pressure(p,i), temperature(p,i), and humidity(p,i) data is associated with the coordinate values time(p), alt(p,i), lat(p), and lon(p). If the vertical coordinates are the same for all profiles, one can use z(z) instead of alt(profile,z). The time coordinate may depend on z also, eg time(profile,z).
     596The pressure(p,i), temperature(p,i), and humidity(p,i) data is associated with the coordinate values time(p), alt(p,i), lat(p), and lon(p). If the vertical coordinates are the same for all profiles, one can use z(z) instead of alt(profile,z). The time coordinate may depend on z also, e.g. time(profile,z).
    597597
    598598When there are a variable number of observations for different profiles, use alt(profile, z) with missing values.
     
    697697}}}
    698698
    699 The pressure(i), temperature(i), and humidity(i) data is associated with the coordinate values time(p), z(i), lat(p), and lon(p), where p is found by reading the rowSize variable values. The time coordinate may depend on z also, eg time(p,z).
     699The pressure(i), temperature(i), and humidity(i) data is associated with the coordinate values time(p), z(i), lat(p), and lon(p), where p is found by reading the rowSize variable values. The time coordinate may depend on z also, e.g. time(p,z).
    700700
    701701=== 9.5.4 Ragged array (indexed) representation ===
     
    749749}}}
    750750
    751 The pressure(i), temperature(i), and humidity(i) data is associated with the coordinate values time(p), z(i), lat(p), and lon(p), where p=parentIndex(i). The time coordinate may depend on z also, eg time(p,z).
     751The pressure(i), temperature(i), and humidity(i) data is associated with the coordinate values time(p), z(i), lat(p), and lon(p), where p=parentIndex(i). The time coordinate may depend on z also, e.g. time(p,z).
    752752
    753753
     
    766766=== 9.6.1 Multidimensional representation ===
    767767
    768 When storing time series of profiles at multiple stations in the same file, if there are the same number of time points for all stations, and te same number of vertical levels for every profile, one can use the multidimensional representation:
     768When storing time series of profiles at multiple stations in the same file, if there are the same number of time points for all stations, and the same number of vertical levels for every profile, one can use the multidimensional representation:
    769769
    770770{{{
     
    817817The pressure(s,p,i), temperature(s,p,i), and humidity(s,p,i) data is associated with the coordinate values time(s,p), z(s,p,i), lat(s), and lon(s).
    818818
    819 The time coordinate may depend on z also, eg time(station,profile,z). If all of the profiles use the same z coordinate, alt(station, profile, z) may be factored out into z(z).
     819The time coordinate may depend on z also, e.g. time(station,profile,z). If all of the profiles use the same z coordinate, alt(station, profile, z) may be factored out into z(z).
    820820
    821821When there are varying number of profiles for different stations, use time(station, profile) with missing values. When there are varying number of levels for different profiles, use alt(station, profile, z) with missing values.
     
    823823=== 9.6.2 Profile time series at a single station ===
    824824
    825 If there is only one station in a file, one can use a variation of the Multidimensional representation which removes the station dimension:
     825If there is only one station in a file, one can use a variation of 9.6.1 which removes the station dimension:
    826826
    827827{{{
     
    871871}}}
    872872
    873 The pressure(i,j), temperature(i,j), and humidity(i,j) data are associated with the coordinate values time(p), alt(p,i), lat, and lon. The time coordinate may depend on z also, eg time(profile,z). If all of the profiles use the same z coordinate, alt(profile, z) may be factored out into z(z).
     873The pressure(i,j), temperature(i,j), and humidity(i,j) data are associated with the coordinate values time(p), alt(p,i), lat, and lon. The time coordinate may depend on z also, e.g. time(profile,z). If all of the profiles use the same z coordinate, alt(profile, z) may be factored out into z(z).
    874874
    875875=== 9.6.3 Ragged array of station profile time series ===
     
    935935}}}
    936936
    937 The profile is associated with a station using the stationIndex(profile). For each profile, the observations must be written contiguously.
    938 
    939 The pressure(i), temperature(i), and humidity(i) data is associated with the coordinate values time(p), z(i), lat(s), and lon(s). The time coordinate may depend on z also, eg time(obs) instead of time(profile).
     937The profile is associated with a station using the stationIndex(profile). For each profile, the observations must be written contiguously, and the number of obs for each profile written in numRows(profile).
     938
     939The pressure(i), temperature(i), and humidity(i) data is associated with the coordinate values time(p), z(i), lat(s), and lon(s), where s = stationIndex(p). The time coordinate may depend on z also, e.g. time(obs) instead of time(profile).
    940940
    941941=== 9.6.4 Flattened representation of multidimensional profiles ===
    942942
    943 A variation of multidimensional profiles (9.5.1) allows these to be associated into a station time series. The station information (lat, lon, id) is repeated in each profile:
     943A variation of multidimensional profiles (9.5.1) allows these to be associated into a station time series of profiles. The station information (lat, lon, station_id) is repeated in each profile:
    944944
    945945{{{
     
    988988}}}
    989989
    990 This is the same as 9.5.1, except that a station_id variable is added for each profile, which associates the profile to a station. The station information is repeated for each profile and should be the same for all profiles with the same station_id.
    991 
    992 == 9.7 Section Profile Data ==
    993 
    994 When profiles are taken along a trajectory, one gets a time series of profiles called a section. This looks like a collection of profiles (see 9.5), except that the profile locations are assumed to be a connected set of points along the trajectory.
     990This is the same as 9.5.1, except that a station_id variable is added for each profile, which associates the profile to a station. The station information is repeated for each profile and should be the same for all profiles with the same station_id. Note that therre is no station dimension, but station description, altitude and wmo_id can be specified using the standard_name attributes "'''station_desc'''", "'''station_altitude'''", and "'''station_wmoid'''".
     991
     992== 9.7 Section Data ==
     993
     994When profiles are taken along a trajectory, one gets a time series of profiles called a section. This looks like a collection of profiles (see 9.5), except that the profile locations are assumed to be a connected set of points along a trajectory.
    995995
    996996=== 9.7.1 Multidimensional representation ===
     
    10501050=== 9.7.2 Single section in the file ===
    10511051
    1052 If there is only one section in the file, one can use a variation of the 9.7.1 which removes the section dimension:
     1052If there is only one section in the file, one can use a variation of 9.7.1 which removes the section dimension:
    10531053
    10541054{{{