There is considerable interest in documenting the amount of observational data obtained in the various data dump networks and the amount of observational data assimilated by the NCEP operational analyses. Some people are interested in counts of “report” counts [where a “report” is a unique entity in time and space, possibly containing a station identifier, but always containing one or more “levels” (replications) of observational parameters (i.e., wind, temperature, moisture, etc.)], while others want a count of each data element (“observation”) in a report (e.g., a single radiosonde report containing geopotential, wind, temperature and specific humidity on 88 levels would contribute 352 “observations” to an analysis). Each network (RUC, ETA, GFS, FNL, CDAS) data dump run at NCEP generates a status file in the appropriate /com directory. This file has two purposes:
1) its very existence indicates that the data dumping process in the network is completed;
2) it contains text entries indicating
the types of data dumped (according to BUFR type and subtype), the time
window over which each type was dumped, the geographical region over which
each type was dumped, the number of “reports” for each type dumped,
and the status (i.e., return code) for each type dumped. The purpose of
this guide is to help users understand what the numbers in the dump count
status file actually represent, especially with respect to the numbers
of reports and observations that are actually assimilated by the analyses.
The status file from each dump run can be found in /com/NET/prod/MODEL.YYYYMMDD/RUN.tCCz.status.tmHH.bufr_d.
|
NET
|
MODEL | YYYYMMDD | RUN | CC | HH |
| avn (GFS) | avn | year, month, day of analysis cycle | gblav | analysis cycle hour | 00 |
| cdas | cdas | “ ” | cdas | “ ” | 0 |
| eta | edas | “ ” | edas | “ ” | 12, 09, 06, 03 * |
| eta | eta | “ ” | eta | “ ” | 00 |
| fnl | fnl | “ ” | gdas1 | “ ” | 00 |
| ruc (upper-air) | ruc2a (early) | “ ” | ruc2a | “ ” | 00 |
| ruc (upper-air) | ruc2b (late) | “ ” | ruc2b | “ ” | 00 |
| rucs (surface) | rucs | “ ” | ruc1 (early) | “ ” | 00 |
| rucs (surface) | rucs | “ ” | rucs (catch-up) | “ ” | 00 |
* dump hour is 12-, 9-, 6-, and 3- hours
prior to cycle hour (CC)
In this guide I will be using the FNL network dump status file from
00Z 27 March 2003 as an example. This file is listed in Appendix I.
In the avn, eta and fnl model dump runs, a data counting code runs which compares the counts for each data type (i.e., BUFR type/subtype) dumped in the current run against the average counts from the previous 30 days. This code generates an “updated” status file for the NCEP SDM which lists the current dump counts vs. the 30-day averages and highlights those data types for which the current dump count is either too high or too low based on a percent difference from the average. The updated status file also provides a description of each data type dumped (this is not done in the initial dump count status file). This file can be found in
/com/NET/prod/MODEL.YYYYMMDD/RUN.tCCz.updated.status.tm00.bufr_d
(where NET =avn, eta, fnl; MODEL
= NET; YYYYMMDD
is as before; RUN =
eta for MODEL = eta, RUN
= gblav for MODEL
= avn; RUN = gdas1 for MODEL
= fnl; and CC is as
before). The FNL network dump updated status file for 00Z 27 March 2003
is listed in Appendix II. Examination of Appendix II shows that the dump
counts on this day are reasonably close to the average.
Next, let’s discuss the dump counts as listed in the initial status
file in Appendix I. It may be helpful to refer to the updated status file
in Appendix II to understand more about the meaning of the various data
types. First, it is important to understand that the counts listed in the
first section of the initial status file refer to the number of BUFR message
subsets dumped (recall that the dump jobs are dipping into the BUFR “tank”
database in order to generate dump files which are also in BUFR). In most
cases a subset can be equated with a “report” (as defined in the first
paragraph), but this is not always the case. This guide will refer to BUFR
subsets as reports.
The data dump report counts represent a superset of the number of reports
and, breaking that down, the number of observations actually assimilated
by the analysis Some data types are dumped for purposes other than assimilation
(e.g., verification, testing, etc.) Other data types are assimilated, but
possibly only after the data are reprocessed in some way (e.g., reports
failing quality control checks are removed, reports over land are removed,
reports are superobed, observations of a certain type on a report level
are not used, etc.).
Let’s first examine those data types from the FNL dump status file
in Appendix I with reports that are not
assimilated by the GFS-SSI analysis (i.e., NO
observation in these reports is used).
003.104 (BUFR type 003, subtype 104, dump mnemonic atovs): NESDIS ATOVS vertical soundings from the NOAA-15 and NOAA-16 (and soon NOAA-17) polar orbiting satellites
Each
report contains NESDIS retrieved virtual temperature observations on up
to 40 pre-set pressure levels (retrieved surface pressure on the bottom
level) and NESDIS processed brightness temperature observations for 35
channels, plus other ancillary data.
001.006 (the only subtype in dump group mnemonic sfcbog): Mean sea-level pressure bogus (currently only over the South Pacific as part of the PAOBS network)
Each
report contains a mean sea-level pressure observation.
005.012 (in dump group mnemonic satwnd): NESDIS satellite derived winds using visible imagery from the GOES -8 and GOES-10 geostationary satellites
005.021 (in dump group mnemonic satwnd): Indian Met Service satellite derived winds using infrared imagery from the INSAT geostationary satellite
005.022 (in dump group mnemonic satwnd): Indian Met Service satellite derived winds using visible imagery from the INSAT geostationary satellite
005.023 (in dump group mnemonic satwnd): Indian Met Service satellite derived winds using water vapor imagery from the INSAT geostationary satellite
005.043 (in dump group mnemonic satwnd): JMA satellite derived winds using water vapor imagery from the GMS-5 geostationary satellite
Each
report contains a wind vector observation on an assigned height level,
plus other ancillary data.
021.041 (dump mnemonic geoimr): NESDIS clear sky processed imager brightness temperatures from the GOES-8 and GOES-10 geostationary satellites
Each
report contains brightness temperature observations for 5 channels, plus
other ancillary data.
Next, let’s examine
those data types from the FNL dump status file in Appendix I with reports
that are assimilated
by the GFS-SSI analysis (or at least some observations in some reports
are assimilated).
The following are
non-satellite reports are on a single level:
001.001 (in dump group mnemonic sfcshp): Surface marine ship reports
001.002 (in dump group mnemonic sfcshp): Surface marine drifting buoy reports
001.003 (in dump group mnemonic sfcshp): Surface marine fixed buoy reports
001.004 (in dump group mnemonic sfcshp): Surface marine C-MAN platform reports
Each report can contain the standard meteorological state variable observations (mean sea-level pressure, temperature, moisture, wind), plus other ancillary data.
-
All state variable observations with passing quality marks are assimilated.
000.001 (in dump group mnemonic adpsfc): Surface synoptic fixed land reports
001.007 (in dump group mnemonic adpsfc): Surface ASOS land reports (METAR/SPECI format)
Each report can contain the standard meteorological state variable observations (mean sea-level pressure, surface pressure, temperature, moisture, wind), plus other ancillary data.
-
Only surface pressure observations with passing quality marks are assimilated.
004.001 (in dump group mnemonic aircft): AIREP format aircraft data
004.002 (in dump group mnemonic aircft): PIREP format aircraft data
004.003 (in dump group mnemonic aircft): AMDAR format aircraft data from ASDAR/ACARS reporting systems
Each report can contain a temperature and wind vector observation on a reported pressure-altitude, plus ancillary data.
-
Temperature, wind speed and wind direction observations with passing quality
marks are assimilated.
004.004 (the only subtype in dump group mnemonic aircar): MDCRS format aircraft data from ACARS reporting systems, processed by ARINC
Each report can contain a temperature, moisture and wind vector observation on a reported pressure-altitude, plus ancillary data.
-
Temperature, wind speed and wind direction observations with passing quality
marks are assimilated, moisture (only available for some carriers) is NOT
assimilated.
004.005 (in dump group mnemonic adpupa): Flight-level reconnaissance reports
Each report can contain the standard meteorological state variable observations (temperature, moisture, wind), plus other ancillary data.
-
All state variable observations with passing quality marks are assimilated.
Next
are non-satellite reports on a multiple levels:
002.001 (in dump group mnemonic adpupa): Fixed radiosonde land reports
002.002 (in dump group mnemonic adpupa): Mobile radiosonde land reports
002.003 (in dump group mnemonic adpupa): Radiosonde ship reports
002.004 (in dump group mnemonic adpupa): Dropwinsonde reports
Each report can contain the standard meteorological state variable observations (temperature, moisture, wind) on up to 255 mandatory and significant pressure and wind-by-height levels, plus surface pressure, plus other ancillary data.
-
All state variable observations with passing quality marks are assimilated
with the exception of moisture above 400 mb..
002.005 (in dump group mnemonic adpupa): Pibal reports
002.009 (in dump group mnemonic proflr): Wind profiler reports decoded from PILOT (Pibal) format bulletins
Each report can contain wind vector observations on up to 255 wind-by-height levels, plus other ancillary data.
-
Wind speed and direction observations with passing quality marks are assimilated.
002.007 (in dump group mnemonic proflr): NOAA Profiler Network (NPN) wind profiler reports
Each report can contain wind vector observations on up to 64 wind-by-height levels, plus other ancillary data.
-
Wind speed and direction observations with passing quality marks are assimilated.
002.008 (in dump group mnemonic vadwnd): Vertical Azimuth Display (VAD) winds from WSR-88D radar sites
Each report can contain wind vector observations on up to 19 wind-by-height levels, plus other ancillary data.
-
Wind speed and direction observations with passing quality marks are assimilated.
Finally,
satellite reports:
005.010 (in dump group mnemonic satwnd): NESDIS satellite derived winds using infrared imagery from the GOES-8 and GOES-10 geostationary satellites
005.013 (in dump group mnemonic satwnd): NESDIS satellite derived low-level winds using automated picture triplet algorithm from the GOES-8 and GOES-10 geostationary satellites
005.041 (in dump group mnemonic satwnd): JMA satellite derived winds using infrared imagery from the GMS-5 geostationary satellite
005.042 (in dump group mnemonic satwnd): JMA satellite derived winds using visible imagery from the GMS-5 geostationary satellite
005.064 (in dump group mnemonic satwnd): EUMETSAT satellite derived winds using infrared imagery from the MEOSAT-5 and METEOSAT-7 geostationary satellites
Each report contains a wind vector observation on an assigned height level, plus other ancillary data.
-
Wind speed and direction observations with passing quality marks are assimilated.
005.011 (in dump group mnemonic satwnd): NESDIS satellite derived winds using water vapor imagery from the GOES-8 and GOES-10 geostationary satellites
Each report contains a wind vector observation on an assigned height level, plus other ancillary data; reports are either clear sky (deep layer) or cloud top,
-
Wind speed and direction observations with passing quality marks from ONLY cloud
top reports are assimilated
(so a good estimate is that only about 50% of the reports dumped are assimilated).
008.010 (dump mnemonic osbuv): NESDIS solar backscatter ultraviolet (SBUV) ozone retrievals
from the NOAA-11, NOAA-14, NOAA-16 and NOAA-17 polar orbiting satellites
Each report contains ozone concentration on 12 pressure layers between 1013 and 0.25 mb.
-
The GFS-SSI assimilates ozone concentration from only NOAA-16, but on all
twelve layers. It
thins the data and rejects some in quality control checks. A good estimate
is that about 20% of the total number of ozone concentration observations
dumped are assimilated.
003.001 (only subtype in dump group mnemonic goesnd): NESDIS soundings, retrievals, and radiances on a 5x5 field-of-view from the GOES-8 and GOES-10 geostationary satellites
Each report can contain NESDIS retrieved height, sensible temperature and moisture observations on up to 40 pre-set pressure levels plus a retrieved surface pressure level; NESDIS processed brightness temperature observations for 18 channels; retrievals of lifted index, cloud amount, cloud top pressure, cloud top temperature, skin temperature, and precipitable water in four sigma layers; plus other ancillary data.
-
The GFS-SSI assimilates only brightness temperature observations and only
on 12 channels for GOES- 08 and 15 channels for GOES-10.
It also thins the data and rejects some in quality control checks. A good
estimate is that about 15% of the total number of brightness temperature
observations dumped are assimilated.
021.021 (dump mnemonic 1bhrs2): NESDIS level 1B radiances from the HIRS-2 instrument on the NOAA-14 polar orbiting satellite
Each report can contain NESDIS 1B brightness temperature observations for 19 channels, plus other ancillary data.
-
The GFS-SSI assimilates brightness temperature observations on only 14
channels. It also thins the data and rejects some in quality control checks.
A good estimate is that about 1% of the total number of brightness temperature
observations dumped are assimilated.
021.022 (dump mnemonic 1bmsu): NESDIS level 1B radiances from the MSU instrument on the NOAA-14 polar orbiting satellite
Each report can contain NESDIS 1B brightness temperature observations for 4 channels, plus other ancillary data.
-
The GFS-SSI assimilates brightness temperature observations on all 4 channels.
However, it thins the data and rejects some in quality control checks.
A good estimate is that about 50% of the total number of brightness temperature
observations dumped are assimilated.
021.023 (dump mnemonic 1bamua): NESDIS level 1B radiances from the AMSU-A
instrument on the NOAA-15, NOAA-16 and NOAA-17 polar orbiting satellites
Each report can contain NESDIS 1B brightness temperature observations for 15 channels, plus other ancillary data.
-
The GFS-SSI assimilates brightness temperature observations for all three
satellites on only 14 channels. It also thins the data and rejects some
in quality control checks. A good estimate is that about 10% of the total
number of brightness temperature observations dumped are assimilated.
021.024 (dump mnemonic 1bamub): NESDIS level 1B radiances from the AMSU-B
instrument on the NOAA-15, NOAA-16 and NOAA-17 polar orbiting satellites
Each report can contain NESDIS 1B brightness temperature observations for 5 channels, plus other ancillary data.
-
The GFS-SSI assimilates brightness temperature observations for all three
satellites on all 5 channels. However, it thins the data and rejects some
in quality control checks. A good estimate is that about 0.3% of the total
number of brightness temperature observations dumped are assimilated.
021.025 (dump mnemonic 1bhrs3): NESDIS level 1B radiances from the HIRS-3
instrument on the NOAA-15, NOAA-16 and NOAA-17 polar orbiting satellites
Each report can contain NESDIS 1B brightness temperature observations for 19 channels, plus other ancillary data.
-
The GFS-SSI assimilates brightness temperature observations from only NOAA-16
and NOAA-17 and on only 14 channels. It also thins the data and rejects
some in quality control checks. A good estimate is that about 0.7% of the
total number of brightness temperature observations dumped are assimilated.
012.013 (dump mnemonic trmm): NASA Tropical Rainfall Measuring Mission (TRMM) data from the
TRMM Microwave Imager (TMI) instrument on the TRMM polar orbiting satellite
Each report can contain the following products: rain plus cloud water, precipitation plus cloud ice, total rain rate and convective rain rate.
-
In the dump process, a program called BUFR_SUPERTMI
runs in order to quality control and then superob all products onto 1 degree
latitude/longitude grid boxes.
About 99.9% of the reports dumped pass the quality control checks and are
available for superobing. The number of superobed reports coming out of BUFR_SUPERTMI
is listed further down in the status file. [See the number after
>>>
TOTAL NUMBER OF REPROCESSED (SUPEROBED) TRMM TMI REPORTS WRITTEN ..
in Appendix I.] The superob compression is approximately 99.5% (or about 200 reports per superob).
- The GFS-SSI assimilates the rain rate product superobs. It rejects many rain rate superobs in quality control checks. A good estimate is that about 15% of the total number of rain rate superobs dumped are assimilated.
-
These are “data of opportunity”, meaning they may not always be available,
and they may stop being produced at some point in the future.
012.137 (dump mnemonics qksca1 and qksca2): Scatterometer data from the quikSCAT polar orbiting satellite
Each report contains 4 unique surface wind vectors, plus ancillary data.
- The 6-hour time window dump is split into two parts: qksca1 covers the first 3 hours and qksca2 covers the last three hours. The total number of reports dumped consists of the sum of these two dump counts.
-
In the dump process, a program called WAVE_DCODQUIKSCAT
runs in order to quality control and then superob all products onto 0.25
degree latitude/longitude grid boxes.
The quality control selects the single “best” of the four wind vectors
in a dumped report if possible. It also rejects all
reports over land or having a high probability of rain indicator. Only
about 27% of the
reports dumped pass the quality control checks and are available for superobing.
The number of superobed reports coming out of WAVE_DCODQUIKSCAT
is listed further down in the status file. [See the number after
>>>
COMBINED NUMBER OF REPROCESSED QUIKSCAT WIND REPORTS WRITTEN ..
in Appendix I.) The superob compression is approximately 72% (or about 3.7 reports per superob).
-
The GFS-SSI assimilates 100% of the oceanic surface wind vector superobs
dumped.
012.002 (dump mnemonic ssmip): SSM/I operational FNMOC products from the DMSP-13, DMSP-14, and DMSP-15 polar orbiting satellites
Each report is a scan consisting of up to 64 retrievals of the following set of products: surface tag, oceanic cloud water, rate rate, oceanic surface wind speed, soil moisture, sea ice concentration, sea ice age, sea ice edge, land snow edge, oceanic total water vapor (total precipitable water), land surface temperature, sea-surface temperature (over water), snow depth, rain flag, and calculated surface type.
- In the dump process, a program called PREPOBS_PREPSSMI runs.
- It first performs quality control on the scans, and accepts scans only from DMSP-13 and DMSP-15 (DMSP-14 is not designated as operational by FNMOC). About 66% of the scans remain after these checks.
- It next unpacks the rain rate product out of the scans, performing additional quality control checks. The average number of rain rate retrievals unpacked out of a scan passing the quality control checks above is 56. (Note the maximum is 64 but conditions do not always allow for a rain rate retrieval to be generated.)
-
Finally, it generates superobs of rain rate on 1 degree latitude/longitude
grid boxes.
The number of superobed reports coming out of PREPOBS_PREPSSMI
is listed further down in the status file. (See the number after
PROGRAM prepobs_prepssmi will run from input ssmip dump
total
for all data types ...
in Appendix I.) The superob compression is approximately 95% (or about 20 reports per superob).
-
The GFS-SSI assimilates the rain rate product superobs. It rejects many
rain rate superobs in quality control checks. A good estimate is that about
20% of the total number of rain rate superobs dumped are assimilated.
012.001 (dump mnemonic ssmit): SSM/I FNMOC processed radiances from the DMSP-13, DMSP-14, and DMSP-15 polar orbiting satellites
Each report is a scan consisting of up to 64 sets of brightness temperatures for 7 channels, plus other ancillary data.
-
When these brightness temperatures are ingested into the BUFR tank database,
they are also passed into the NCEP Neural Net 3 algorithm in order to generate
certain products which are then packed into scans and stored into another
tank in the BUFR database. Although the brightness temperatures themselves
are not assimilated by the GFS-SSI analysis, the Neural Net 3 oceanic surface
wind speed product generated from them is assimilated. This data type is
listed next.
012.103 (dump mnemonic ssmipn): SSM/I NCEP Neural Net 3 products from the DMSP-13, DMSP-14, and DMSP-15 polar orbiting satellites
Each report is a scan consisting of up to 64 retrievals of the following set of products: surface tag, oceanic cloud water, oceanic surface wind speed, oceanic total water vapor (total precipitable water), and sea-surface temperature. These products are generated at NCEP, from the SSM/I brightness temperatures listed previously.
- In the dump process, a program called PREPOBS_PREPSSMI runs.
- It first performs quality control on the scans, and accepts scans only from DMSP-13 and DMSP-15 (DMSP-14 is not designated as operational by FNMOC). About 66% of the scans remain after these checks.
- It next unpacks the oceanic wind speed and total precipitable water products out of the scans, performing additional quality control checks. The average number of both wind speed and total precipitable water retrievals unpacked out of a scan passing the quality control checks above is 30. [Note the maximum is 64 but conditions (e.g., rain contamination) do not always allow for a rain rate retrieval to be generated.]
-
Finally, it generates superobs of both oceanic surface wind speed and total
precipitable water on
1 degree latitude/longitude grid boxes.
The number of combined wind speed and total precipitable water superobs
coming out of PREPOBS_PREPSSMI
is listed further down in the status file. (See the number after
PROGRAM prepobs_prepssmi will run from input ssmip dump
total
for all data types ...
in Appendix I.) This number is evenly divided between the two products. The superob compression is approximately 95% (or about 20 reports per superob).
-
The GFS-SSI assimilates 100% of the oceanic surface wind speed product
superobs, but does not assimilate the total precipitable water superobs.
Appendix
I. - Contents of the FNL data dump status file for 00Z 27 March 2003.
#### INFORMATION REGARDING tm00 OBSERVATIONAL DATA DUMP FOR t00z fnl RUN ####
PARENT SCRIPT IS: jfnl_dump_00
CENTRAL DATE IS 2003032700
THIS STATUS FILE CREATED Thu Mar 27 06:12:43 GMT 2003
THIS CREATION TIME MUST BE EARLIER THAN THE START TIME FOR ANY
OPERATIONAL ANALYSES JOBS THAT READ FROM THESE OBSERVATIONAL DATA DUMP
FILES (i.e., Jobs 220, 281, RUC2A_PREP, RUC2B_PREP, 530, 820, 850)
*******************************************************************************
++++ NUMBER OF REPORTS DUMPED BY DATA SUBTYPE ++++
TIME WINDOW RADIUS IS DATA GROUP DEPENDENT
GEOGRAPHICAL DOMAIN IS DATA GROUP DEPENDENT
002.001 in data group adpupa for 2003032621.00-2003032702.99 HAS 611 REPORTS
Domain
for 002.001 in data group adpupa : Global
002.002 in data group adpupa for 2003032621.00-2003032702.99 HAS 0 REPORTS
Domain
for 002.002 in data group adpupa : Global
002.003 in data group adpupa for 2003032621.00-2003032702.99 HAS 2 REPORTS
Domain
for 002.003 in data group adpupa : Global
002.004 in data group adpupa for 2003032621.00-2003032702.99 HAS 0 REPORTS
Domain
for 002.004 in data group adpupa : Global
002.005 in data group adpupa for 2003032621.00-2003032702.99 HAS 80 REPORTS
Domain
for 002.005 in data group adpupa : Global
004.005 in data group adpupa for 2003032621.00-2003032702.99 HAS 4 REPORTS
Domain
for 004.005 in data group adpupa : Global
003.001 in data group goesnd for 2003032621.00-2003032702.99 HAS 20321 REPORTS
Domain
for 003.001 in data group goesnd : Global
012.103 in data group ssmipn for 2003032621.00-2003032702.99 HAS 16993 REPORTS
Domain
for 012.103 in data group ssmipn : Global
012.002 in data group ssmip for 2003032621.00-2003032702.99 HAS 16993 REPORTS
Domain
for 012.002 in data group ssmip : Global
008.010 in data group osbuv for 2003032621.00-2003032702.99 HAS 1317 REPORTS
Domain
for 008.010 in data group osbuv : Global
021.024 in data group 1bamub for 2003032621.00-2003032702.99 HAS2071818 REPORTS
Domain
for 021.024 in data group 1bamub : Global
001.001 in data group sfcshp for 2003032621.00-2003032702.99 HAS 606 REPORTS
Domain
for 001.001 in data group sfcshp : Global
001.002 in data group sfcshp for 2003032621.00-2003032702.99 HAS 2679 REPORTS
Domain
for 001.002 in data group sfcshp : Global
001.003 in data group sfcshp for 2003032621.00-2003032702.99 HAS 800 REPORTS
Domain
for 001.003 in data group sfcshp : Global
001.004 in data group sfcshp for 2003032621.00-2003032702.99 HAS 369 REPORTS
Domain
for 001.004 in data group sfcshp : Global
003.104 in data group atovs for 2003032621.00-2003032702.99 HAS 81310 REPORTS
Domain
for 003.104 in data group atovs : Global
000.001 in data group adpsfc for 2003032621.00-2003032702.99 HAS 14188 REPORTS
Domain
for 000.001 in data group adpsfc : Global
000.007 in data group adpsfc for 2003032621.00-2003032702.99 HAS 26905 REPORTS
Domain
for 000.007 in data group adpsfc : Global
001.006 in data group sfcbog for 2003032621.00-2003032702.99 HAS 276 REPORTS
Domain
for 001.006 in data group sfcbog : Global
012.013 in data group trmm for 2003032621.00-2003032702.99 HAS2300213 REPORTS
Domain
for 012.013 in data group trmm : Global
021.021 in data group 1bhrs2 for 2003032621.00-2003032702.99 HAS 179586 REPORTS
Domain
for 021.021 in data group 1bhrs2 : Global
021.022 in data group 1bmsu for 2003032621.00-2003032702.99 HAS 9597 REPORTS
Domain
for 021.022 in data group 1bmsu : Global
005.010 in data group satwnd for 2003032622.50-2003032701.50 HAS 17696 REPORTS
Domain
for 005.010 in data group satwnd : Global
005.011 in data group satwnd for 2003032622.50-2003032701.50 HAS 13043 REPORTS
Domain
for 005.011 in data group satwnd : Global
005.012 in data group satwnd for 2003032622.50-2003032701.50 HAS 38506 REPORTS
Domain
for 005.012 in data group satwnd : Global
005.013 in data group satwnd for 2003032622.50-2003032701.50 HAS 519 REPORTS
Domain
for 005.013 in data group satwnd : Global
005.021 in data group satwnd for 2003032622.50-2003032701.50 HAS 0 REPORTS
Domain
for 005.021 in data group satwnd : Global
005.022 in data group satwnd for 2003032622.50-2003032701.50 HAS 0 REPORTS
Domain
for 005.022 in data group satwnd : Global
005.023 in data group satwnd for 2003032622.50-2003032701.50 HAS 0 REPORTS
Domain
for 005.023 in data group satwnd : Global
005.041 in data group satwnd for 2003032622.50-2003032701.50 HAS 221 REPORTS
Domain
for 005.041 in data group satwnd : Global
005.042 in data group satwnd for 2003032622.50-2003032701.50 HAS 408 REPORTS
Domain
for 005.042 in data group satwnd : Global
005.043 in data group satwnd for 2003032622.50-2003032701.50 HAS 467 REPORTS
Domain
for 005.043 in data group satwnd : Global
005.064 in data group satwnd for 2003032621.00-2003032702.99 HAS 10756 REPORTS
Domain
for 005.064 in data group satwnd : Global
012.137 in data group qksca1 for 2003032621.00-2003032623.99 HAS 243226 REPORTS
Domain
for 012.137 in data group qksca1 : Global
021.025 in data group 1bhrs3 for 2003032621.00-2003032702.99 HAS 508764 REPORTS
Domain
for 021.025 in data group 1bhrs3 : Global
012.001 in data group ssmit for 2003032621.00-2003032702.99 HAS 16993 REPORTS
Domain
for 012.001 in data group ssmit : Global
004.004 in data group aircar for 2003032621.00-2003032702.99 HAS 30688 REPORTS
Domain
for 004.004 in data group aircar : Global
004.001 in data group aircft for 2003032620.75-2003032703.25 HAS 875 REPORTS
Domain
for 004.001 in data group aircft : Global
004.002 in data group aircft for 2003032620.75-2003032703.25 HAS 406 REPORTS
Domain
for 004.002 in data group aircft : Global
004.003 in data group aircft for 2003032620.75-2003032703.25 HAS 2848 REPORTS
Domain
for 004.003 in data group aircft : Global
002.007 in data group proflr for 2003032621.00-2003032702.99 HAS 169 REPORTS
Domain
for 002.007 in data group proflr : Global
002.009 in data group proflr for 2003032621.00-2003032702.99 HAS 12 REPORTS
Domain
for 002.009 in data group proflr : Global
002.008 in data group vadwnd for 2003032621.00-2003032702.99 HAS 1698 REPORTS
Domain
for 002.008 in data group vadwnd : Global
012.137 in data group qksca2 for 2003032700.00-2003032702.99 HAS 248061 REPORTS
Domain
for 012.137 in data group qksca2 : Global
021.041 in data group geoimr for 2003032623.50-2003032700.50 HAS 53191 REPORTS
Domain
for 021.041 in data group geoimr : Global
021.023 in data group 1bamua for 2003032621.00-2003032702.99 HAS 231544 REPORTS
Domain
for 021.023 in data group 1bamua : Global
*******************************************************************************
++++ SPECIFIC INFORMATION ON EACH DATA GROUP DUMP ++++
-------------------------------------------------------------------------------
Dump Script run for data groups: adpupa goesnd ssmipn ssmip osbuv 1bamub
-- Data Group adpupa –
adpupa dump SUCCESSFUL, some subtypes missing as expected at this time (RC=4)
[For adpupa, original R.C. 11 reduced to 4, missing data of these subtypes
are expected at this time]
-- Data Group goesnd –
goesnd dump SUCCESSFUL, all subtypes contain reports (RC=0)
-- Data Group ssmipn –
ssmipn dump SUCCESSFUL, all subtypes contain reports (RC=0)
-- Data Group ssmip –
ssmip dump SUCCESSFUL, all subtypes contain reports (RC=0)
-- Data Group osbuv –
osbuv dump SUCCESSFUL, all subtypes contain reports (RC=0)
-- Data Group 1bamub --
1bamub dump SUCCESSFUL, all subtypes contain reports (RC=0)
==> The final overall return code for this run of dumpjb is 4, reduced from
original value of 11 for reasons noted just above
*******************************************************************************
PROGRAM prepobs_prepssmi will run from input ssmipn dump
total for all data types ... 38848
program PREPOBS_PREPSSMI completed normally, spssmi file generated
*******************************************************************************
*******************************************************************************
PROGRAM prepobs_prepssmi will run from input ssmip dump
total for all data types ... 34385
program PREPOBS_PREPSSMI completed normally, spssmi file generated
*******************************************************************************
*******************************************************************************
spssmi dump file generated by combining reprocessed ssmipn & ssmip dump files
>>> COMBINED TOTAL FOR ALL DATA TYPES ... 73233
reprocessed ssmipn and ssmip dump files removed
*******************************************************************************
-------------------------------------------------------------------------------
Dump Script run for data groups: sfcshp atovs adpsfc sfcbog trmm 1bhrs2 1bmsu
-- Data Group sfcshp --
sfcshp dump SUCCESSFUL, all subtypes contain reports (RC=0
-- Data Group atovs --
atovs dump SUCCESSFUL, all subtypes contain reports (RC=0)
-- Data Group adpsfc --
adpsfc dump SUCCESSFUL, all subtypes contain reports (RC=0)
-- Data Group sfcbog --
sfcbog dump SUCCESSFUL, all subtypes contain reports (RC=0)
-- Data Group trmm --
trmm dump SUCCESSFUL, all subtypes contain reports (RC=0)
-- Data Group 1bhrs2 --
1bhrs2 dump SUCCESSFUL, all subtypes contain reports (RC=0)
-- Data Group 1bmsu --
1bmsu dump SUCCESSFUL, all subtypes contain reports (RC=0)
==> The final overall return code for this run of dumpjb remains 0
*******************************************************************************
PROGRAM bufr_supertmi will run from input trmm dump
>>> TOTAL NUMBER OF REPROCESSED (SUPEROBED) TRMM TMI REPORTS WRITTEN .. 10706
program BUFR_SUPERTMI completed normally, sptrmm file generated
*******************************************************************************
-------------------------------------------------------------------------------
Dump Script run for data groups: satwnd qksca1 1bhrs3
-- Data Group satwnd –
satwnd dump SUCCESSFUL, some subtypes missing as expected at this time (RC=4)
[For satwnd, original R.C. 11 reduced to 4, missing data of these subtypes
are expected at this time]
-- Data Group qksca1 --
qksca1 dump SUCCESSFUL, all subtypes contain reports (RC=0)
-- Data Group 1bhrs3 --
1bhrs3 dump SUCCESSFUL, all subtypes contain reports (RC=0)
==> The final overall return code for this run of dumpjb is 4, reduced from
original value of 11 for reasons noted just above
*******************************************************************************
PROGRAM wave_dcodquikscat will run from input qksca1 dump
total number of reprocessed quikscat wind reports written .. 15197
program WAVE_DCODQUIKSCAT completed normally, qkswn1 file generated
*******************************************************************************
-------------------------------------------------------------------------------
Dump Script run for data groups: ssmit aircar aircft proflr vadwnd qksca2 geoimr 1bamua
-- Data Group ssmit –
ssmit dump SUCCESSFUL, all subtypes contain reports (RC=0)
-- Data Group aircar –
aircar dump SUCCESSFUL, all subtypes contain reports (RC=0)
-- Data Group aircft –
aircft dump SUCCESSFUL, all subtypes contain reports (RC=0)
-- Data Group proflr –
proflr dump SUCCESSFUL, all subtypes contain reports (RC=0)
-- Data Group vadwnd –
vadwnd dump SUCCESSFUL, all subtypes contain reports (RC=0)
-- Data Group qksca2 --
qksca2 dump SUCCESSFUL, all subtypes contain reports (RC=0)
-- Data Group geoimr –
geoimr
dump SUCCESSFUL, all subtypes contain reports (RC=0)
-- Data Group 1bamua --
1bamua dump SUCCESSFUL, all subtypes contain reports (RC=0)
==> The final overall return code for this run of dumpjb remains 0
*******************************************************************************
PROGRAM wave_dcodquikscat will run from input qksca2 dump
total number of reprocessed quikscat wind reports written .. 22117
program WAVE_DCODQUIKSCAT completed normally, qkswn2 file generated
*******************************************************************************
-------------------------------------------------------------------------------
qkscat dump file generated by combining qksca1 and qksca2 dump files
>>> ADD qksca1 AND qksca2 DUMP TOTALS FROM ABOVE TO GET
COMBINED NUMBER OF ORIGINAL QUIKSCAT WIND REPORTS WRITTEN
qksca1 and qksca2 dump files removed
-------------------------------------------------------------------------------
-------------------------------------------------------------------------------
qkswnd dump file generated by combining qkswn1 and qkswn2 dump files
>>> COMBINED NUMBER OF REPROCESSED QUIKSCAT WIND REPORTS WRITTEN .. 37314
qkswn1
and qkswn2 dump files removed
Appendix
II. - Contents of the FNL data dump updated status file for 00Z 27 March
2003.
********************************************************************************
* *
* ### tm00 OBSERVATIONAL DATA DUMP FOR t00z fnl RUN ### *
* *
* SCRIPT IS: jfnl_dump_00 *
* Run Date is 2003/03/27 00Z *
* FILE CREATED Thu Mar 27 06:13:35 GMT 2003 *
* *
********************************************************************************
* ***** CRITICAL **** low data counts encountered: none *
********************************************************************************
* MODERATELY-CRITICAL low data counts encountered: none *
********************************************************************************
* ...... Non-critical low data counts encountered: none *
********************************************************************************
* High data counts encountered: none *
********************************************************************************
* Current 30-day avg low vs. avg from 3 months ago: *
* infeu *
********************************************************************************
* Current 30-day avg low vs. avg from 6 months ago: *
* mbuoy infeu *
********************************************************************************
* Current 30-day avg high vs. avg from 6 months ago: *
* slpbg pirep 1bhrs3 *
********************************************************************************
* Current 30-day avg low vs. avg from 9 months ago: *
* infeu *
********************************************************************************
* Current 30-day avg high vs. avg from 9 months ago: *
* slpbg pirep asdar visus osbuv 1bamua 1bamub 1bhrs3 *
********************************************************************************
* Current 30-day avg high vs. avg from 12 months ago: *
* slpbg visus ptrus osbuv *
********************************************************************************
* *
* todays 30-day *
* receipt average Data Type *
* *
* 14188 14248 synop Synoptic - manual and automatic *
* 26905 26863 metar Aviation - METAR *
* 606 646 ships Ship - manual and automatic *
* 2679 2598 dbuoy Drifting buoy *
* 800 773 mbuoy Moored buoy *
* 369 368 lcman Land-based CMAN station *
* 750 721 tideg Tide gauge reports *
* 276 287 slpbg Sea level pressure bogus *
* 611 611 raobf Rawinsonde - fixed land *
* 0 0 raobm Rawinsonde - mobile land *
* 2 3 raobs Rawinsonde - ship *
* 0 5 dropw Dropwinsonde *
* 80 68 pibal Pibal *
* 169 175 prflr Wind profiler from NOAA/FSL *
* 1698 1576 nxrdw NEXRAD Vertical Azimuth Display (VAD) winds *
* 12 14 prflrp Wind profiler from outside U.S. *
* 20321 21315 geost GOES/NESDIS (5x5 f-o-v) soundings/radiances *
* 81310 65090 atovs POES/NESDIS - processed ATOVS soundings/radiances *
* 875 870 airep Manual AIREP format aircraft data *
* 406 312 pirep Manual PIREP format aircraft data *
* 2848 3008 asdar Automated AMDAR format ASDAR/ACARS aircraft data *
* 30688 26132 acars Automated MDCRS ACARS aircraft data (from ARINC) *
* 4 2 recco Flight level reconnaissance aircraft data *
* 17696 16555 infus GOES/NESDIS infrared derived cloud motion *
* 13043 10776 h2ius GOES/NESDIS water vapor imager derived cld motion *
* 38506 28712 visus GOES/NESDIS visible derived cloud motion *
* 519 406 ptrus GOES/NESDIS picture triplet derived cloud motion *
* 0 0 infin INSAT/India infrared derived cloud motion *
* 0 0 visin INSAT/India visible derived cloud motion *
* 0 0 h20in INSAT/India water vapor derived cloud motion *
* 221 206 infja GMS/JMA infrared derived cloud motion *
* 408 334 visja GMS/JMA visible derived cloud motion *
* 467 471 h20ja GMS/JMA water vapor imager derived cloud motion *
* 10756 10762 infeu METEOSAT/EUMETSAT infrared derived cloud motion *
* 1317 1081 osbuv POES/NESDIS Solar backscatter ultraviolet rad. *
* 16993 16473 ssmit SSM/I - brightness temperatures *
* 16993 16473 ssmip SSM/I - FNOC derived products *
*2300213 2282385 trmm NASA/tropical rainfall measuring mission *
* 16993 16473 ssmipn SSM/I - NCEP Neural Net-3 derived products *
* 491287 470941 qscat QuikSCAT products *
* 39666 36816 h1bn14 NOAA 14 High resolution infrared 1b radiances *
* 9610 8763 m1bn14 NOAA 14 Microwave sounding unit 1b radiances *
* 38122 36953 h1bn15 NOAA 15 High resolution infrared 1b radiances *
* 66406 64358 a1bn15 NOAA 15 Adv. micro sounding unit-A 1b radiances *
* 118682 115710 b1bn15 NOAA 15 Adv. micro sounding unit-B 1b radiances *
* 32876 23906 h1bn16 NOAA 16 High resolution infrared 1b radiances *
* 57468 41812 a1bn16 NOAA 16 Adv. micro sounding unit-A 1b radiances *
* 103866 75434 b1bn16 NOAA 16 Adv. micro sounding unit-B 1b radiances *
* 283 224 sbvn16 NOAA 16 Solar backscatter ultraviolet radiances *
* 179586 164422 1bhrs2 POES/NESDIS HIRS-2 1b radiances *
* 9597 8769 1bmsu POES/NESDIS MSU 1b radiances *
* 231544 212192 1bamua POES/NESDIS AMSU-A 1b radiances *
*2071818 1890871 1bamub POES/NESDIS AMSU-B 1b radiances *
* 508764 463022 1bhrs3 POES/NESDIS HIRS-3 1b radiances *
* 53191 53054 geoimr GOES/NESDIS (11x17 f-o-v) imager clear radiances *
* *
********************************************************************************