OceanColor.inrange.matchup_L3m

OceanColor.inrange.matchup_L3m(track, ds, dL_tol: float, dt_tol)[source]

Search an L3 Dataset for pixels within range of a track

For a given data frame of waypoints, return all satellite data, including lat, lon, dL (distance), and dt (difference in time) in respect of all waypoints.

Parameters

  • track (pd.DataFrame) – A collection of waypoints containing {time, lat, lon}. The index on this DataFrame will be used as the reference on for the output.

  • ds (xr.Dataset) – L3m composite.

  • dL_tol (float) – Distance in meters around a waypoint to be considered a matchup.

  • dt_tol (np.timedelta64) – Time difference to be considered a matchup.

Returns

matchup – All pixels within space and time range from the given track of waypoints. One pixel per row.

Return type

pd.DataFrame

See also

matchup

Search a dataset for pixels within a range

matchup_L2

Search an L2 dataset for pixels within a range

Notes

Since L3M product are daily means, dt=0 means a profile on the same day of the satellite measurement, while + 3hrs means the hour 3 of the following day. Further, dt_tol=0 limits to satellite mean for the same day of the profile, while dt_tol=12 limits to the day of the profile plus the previous day if spray measured in the morning or following day if measurement was done in the afternoon/evening.

IDEA: Maybe crop nc by min/max lat and lon before estimate the distances.

Return all satellite data in range of some profile

For a given data frame of profiles, return all satellite data,

including lat, lon, dL (distance), and dt (difference in time) in respect of all profiles.

Since L3M product is daily means, dt=0 means a profile on the same day

of the satellite measurement, while + 3hrs means the hour 3 of the following day. Further, dt_tol=0 limits to satellite mean for the same day of the profile, while dt_tol=12 limits to the day of the profile plus the previous day if spray measured in the morning or following day if measurement was done in the afternoon/evening.

IDEA: Maybe crop nc by min/max lat and lon before estimate the

distances.