| LIST | CONTAINS | PERIOD | COMMENTS | VOLUME AVERAGE | VOLUME TOTAL (as of 2006 Sep 30) | GROWING BY (2006) |
|---|---|---|---|---|---|---|
| A | ADPUPA | 1973jan01-ongoing | 1.7MB/day | 21.1 GB | 2.2MB/day | |
| B | AIRCFT | 1973jan01-ongoing | 1.3MB/day | 16.6 GB | 2.2MB/day | |
| C | SIRSOB | 1973jan01-1979feb28 | 0.6MB/day | 1.1 GB | (discontinued) | |
| D | SATWND | 1973jan24-ongoing | 8.5MB/day | 104.5 GB | 39.2MB/day | |
| E | UPABOG | 1973jan01-1986mar11 | 0.2MB/day | 1.2 GB | (discontinued) | |
| F | AIRCAR | 1991may17-ongoing | 7.2MB/day | 40.7 GB | 17.0MB/day |
| LIST | PERIOD | FILE STRUCTURE AS |
|---|---|---|
| A | 1973jan01-1997mar31 | received from NMC, then NCEP |
| A | 1997apr01-1998mar31 | received from NCDC |
| A | 1998apr01-1999sep30 | received from NCEP |
| A | 1999oct01-ongoing | converted from BUFR by DSS |
| B | 1973jan01-1997apr05 | received from NMC, then NCEP |
| B | 1997apr01-1998mar31 | received from NCDC |
| B | 1998apr01-1999sep30 | received from NCEP |
| B | 1999oct01-ongoing | converted from BUFR by DSS |
| C | 1973jan01-1979feb28 | received from NMC |
| D | 1973jan24-1997apr05 | received from NMC, then NCEP |
| D | 1997apr01-1998mar31 | received from NCDC |
| D | 1998apr01-1999sep30 | received from NCEP |
| D | 1999oct01-ongoing | converted from BUFR by DSS |
| E | 1973jan01-1986mar11 | received from NMC |
| F | 1991may17-1997apr05 | received from NMC, then NCEP |
| F | 1997apr01-1998mar31 | received from NCDC |
| F | 1998apr01-1999sep30 | received from NCEP |
| F | 1999oct01-ongoing | converted from BUFR by DSS |
| ONLY ABOUT | OF ALL RAOBS REACH |
|---|---|
| 50% | 20mb |
| 25% | 10mb |
| 5% | 7mb |
| 2% | 5mb |
| <1% | 3mb |
The reduction of station surface pressure to sea level pressure is almost a black art. Basic meteorology texts describe theories which involve assumptions about the virtual temperature in an imaginary level between the station and sea level. An example is in the classic text "An Introduction to Theoretical Meteorology" by Seymour Hess (1959), on pages 88 - 90. In practise, the reduction algorithms are empirical, where local stations apply local statistical knowledge of weather and seasonal patterns.
Here are a couple of more recent texts on the subject: Chuang, et al and NOAA/NWS.
It is reasonable to expect to know exactly what was done in this dataset, but we do not have the answer.