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Statistics on global surface marine meteorological and oceanographic data are compiled monthly by personnel of NOAA's
NWS/NCEP/Central Operations. These data include those which are observed/measured by ships (including those vessels that are part of the
U.S. Voluntary Observing Ship Project), moored and drifting buoys, Coastal Marine Automated Network (CMAN) stations, and tide gauge stations
(tide gauge data are provided by NOAA's National Ocean Service/Center for Operational Oceanographic Products and Services (NOS/CO-OPS)).
Separate statistics are compiled monthly for specified vessels in the Gulf of Alaska and for specificed member vessels of the
International SeaKeepers Society. The data for which these statistics are compiled include sea-level pressure, air temperature, and wind direction
and speed (for the surface meteorological data), and sea surface temperature (for the oceanographic data).
Only 1 year's worth of statistics will be available at any given time on this web site. Please note that the monthly statistics are updated on
the first business day of each month. I.e. if the 1st falls on a weekend or on a Federal Government holiday, the statistics are updated on the first
business day which follows the weekend the or holiday.
The global monthly statistics are sent to the
UKMet Office in Bracknell, England each month (the UKMet Office has been designated by the
World Meteorological Organization (WMO) as the lead center for monitoring surface marine observations), where they are consolidated with
additional statistics and forwarded to platform managers. The platform managers may then investigate platforms listed in the statistics to see if
instrumentation needs to be corrected. Please note that the statistical files available via this web site are not indentical to those passed to
Bracknell, in that the ship/platform names are included in the files on this web site (they are not included in the Bracknell files).
The monthly statistics produced for the Gulf of Alaska vessels and for the International SeaKeepers Society vessels are made available to those
program managers via this web site, so that they may evaluate the performance of select vessels in their area of interest.
All of the monthly statistics are computed using differences between the observed data and first guess fields from one of 2 NWS numerical
models. This file explains the method of comparison between the data and first guess fields, and also provides the criteria used in determining
which platforms will be listed in the NCEP Central Operations (NCO) global marine statistics each month.
Standard of Comparison
Data from each platform (ships, moored (fixed) buoys, drifting buoys, CMAN platforms, and tide gauge stations) are compared to forecasts from
one of 2 NWS numerical models for each of 4 daily synoptic periods. Each synoptic period is a 6 hour window centered on the times given in the
table below. The first guess valid times are also given below. All data observed/measured during each synoptic period are compared to the first
guess valid for that synoptic period. The first guess is interpolated to the platform's location and differences between observation and first guess
are computed. Differences between observed data and forecasts are archived four times daily.
| Synoptic Period | Numerical Model Used | First Guess Valid Time |
|---|---|---|
| 0000 UTC | 6-hour forecast from the 1800 UTC run of NWS's Global Data Assimilation System (GDAS) | 0000 UTC |
| 0600 UTC | 6-hour forecast from the 0000 UTC run of GDAS | 0600 UTC |
| 1200 UTC | 6-hour forecast from the 0600 UTC run of GDAS | 1200 UTC |
| 1800 UTC | 6-hour forecast from the 1200 UTC run of GDAS | 1800 UTC |
If the GDAS is unavailable for a particular synoptic period, a 6-hour forecast from the previous run of NWS's
Global Forecast System (GFS) is
used instead.
Each synoptic period includes data with observation times +/- 3 hours as follows:
| Synoptic Period | Observation Times of Data |
|---|---|
| 0000 UTC | 2100 UTC (previous day) through 0259 UTC |
| 0600 UTC | 0300 UTC through 0859 UTC |
| 1200 UTC | 0900 UTC through 1459 UTC |
| 1800 UTC | 1500 UTC through 2059 UTC |
No time interpolation between observed data and first guess is done (i.e. an observation from 1000 UTC or 1400 UTC will be compared to a first
guess valid at 1200 UTC).
Criteria for specific parameters
For each of the 5 parameters (sea-level pressure, air temperature, wind speed, wind direction, and sea surface temperature) included
in the monthly statistics, the following criteria must be met in order for a particular platform to be listed in the NCO global monthly
statistics
Sea-level pressure (slp):
Air temperature:
Wind direction:
Wind speed:
Sea surface temperature (sst):
Specific callsigns were given to NCO to indicate those vessels which are to be included in these monthly statistics. No other criteria must
be met, except that the vessels must have at least one observation during the desired month. If a vessel reports only once during a
specific month, then the bias for any reported parameter is not a mean bias but is merely the difference between observed and first guess
values for that parameter. Standard deviation is only computed when a vessel has 2 or more reports for any particular parameter in the
month. As with the global monthly statistics, gross errors are not included in computations of bias or standard deviation (see Definition
of gross errors below).
With the exception of wind direction, the bias for each parameter is always computed as (observed data - first guess). A mean difference bias for
slp of -4.8 mb would mean that the observed slp for that platform is, on average, 4.8 mb lower than the first guess slp. Also, a low standard
deviation (SD) of the difference would mean that the platform's bias is consistent (the closer to 0 the SD is, the more consistent that platform is
for that parameter). For example, if the slp bias was -4.8 mb and standard deviation of the difference was 1.0, that would imply that the platform
consistently was around 4.8 mb too low with its slp. If the SD is high, then the platform has a lot of variability for the parameter in question, with
with regards to its comparison with the first guess.
Calculation of bias and standard deviation for wind direction
For platforms reporting wind direction that is consistently close to 180 degrees off the first guess wind direction, using the regular algorithm of
(observed wind direction - first guess wind direction) would result in a very large SD and bias, which would make it difficult to detect the wind
direction error. The ideal for this situation would be to have a small SD with a bias on the order of 180 degrees. This is possible with the use of
the algorithm used by Meteo-France's Centre for Marine Meteorology (Centre de Meteorologie Marine (CMM)) in computation of wind direction
statistics for moored and drifting buoys. This algorithm computes bias and SD for the following series:
where Obs = observed wind direction and FG = first guess wind direction.
The bias and SD are computed for each of the above 4 series. The smallest of the 4 SD values is selected and then (bias - i) (where i is 0, 90, -90,
and 180, respectively) is selected as the actual bias if the series ((Obs + i) - FG) was the series associated with the smallest SD. See the following
table for more details.
| If smallest SD is computed for | Bias used is |
|---|---|
| (Obs - FG) | bias = ((bias of (obs - FG)) - 0) |
| ((Obs + 90) - FG) | bias = ((bias of ((obs + 90) - FG)) - 90) |
| ((Obs - 90) - FG) | bias = ((bias of ((obs - 90) - FG)) - (-90)) |
| ((Obs + 180) - FG) | bias = ((bias of ((obs + 180) - FG)) - 180) |
Using this algorithm for all wind direction bias and SD computations will ensure that the most accurate representation of the difference between
observed wind direction and first guess wind direction will be used and displayed in the monthly statistics.
Sample lines from global monthly statistics (and explanation)
NCEP CENTRAL OPERATIONS (NCO) PLATFORM STATS
AUGUST 2024
SEA-LEVEL PRESSURE FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
3FFA5 MSC DIVINA SHP 50 11.9 2.1 3
The above lines were taken from the global monthly statistics produced for August 2024. The platform shown has the callsign 3FFA5. Its name
Caveat
Please note that a platform's appearance in the monthly statistics does not necessarily mean that the platform's data are bad. A high bias can be
indicative of a persistent problem with the first guess at the platform's lcoation. While the model's grid resolution and topogoraphical resolution are
1 degree x 1 degree, this is still not fine enough to depict small-scale local meteorological and oceanographic effects. In addition, the first guess, in
general, performs more poorly in the Southern Hemisphere than in the Northern Hemisphere, due to lower data counts (much less land south of
the Equator, so not nearly as many land-based surface and upper air observations, plus major shipping lanes are primarily in the Northern
Hemisphere).
An observation is considered to be a gross error if it differs from the first guess by the following values:
| slp | abs(obs - fcst) ≥ 15.0 mb |
| air temperature | abs(obs - fcst) ≥ 15.0 deg C |
| wind direction | abs(obs - fcst) ≥ 100 degrees |
| wind speed | abs(obs - fcst) ≥ 15.0 m/s |
| sst | abs(obs - fcst) ≥ 15.0 deg C |
| abs: | absolute value |
| obs: | observation |
| fcst: | forecast (first guess) |
By convention, gross errors are not used in the computation of the mean difference or standard deviation.
Platform types seen in monthly statistics
| Abbreviation | Type |
|---|---|
| SHP | ship |
| DB | drifting buoy |
| FB | fixed (moored) buoy |
| CMN | CMAN platform |
| TG | tide gauge station |
Statistics are not computed for platforms with the following callsigns: 'SHIP', 'BUOY', 'BBXX', 'PLAT', 'RIGG', or 'METEO'. These callsigns are not
unique (i.e. more than one platform may have the same callsign), so statistics for these callsigns would be meaningless.
Ship and Platform Names
The ship and platform names are obtained from several sources. Since callsigns and ship names change from time to time, a particular callsign
may be associated with 2 or more different names, or a ship name may be associated with several callsigns. Although we will update the names
file several times a year, we may not know which callsign/name is current.
A good web site for querying ship names and/or callsigns is that of the
Ship-Of-Opportunity Programme (SOOP), which is a joint program of the
WMO and the Intergovernmental Oceanographic Commission (IOC). On the OceanOps dashboard, click "Enter Dashboard". In the upper left
"Search" bar, one may enter a full or partial ship name or callsign, and an attempt will be made to find a match on either.
Additional Marine Data/Information
If you are seeking climatological marine data such as average temperature, wave heights, or prevailing winds for a particular oceanographic
region, please contact NOAA's National Centers for Environmental Information (NCEI).
For marine forecasts, please contact NOAA/NWS/NCEP's
Ocean Prediction Center (OPC).
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NCEP CENTRAL OPERATIONS (NCO) PLATFORM STATS
NOVEMBER 2024
SEA-LEVEL PRESSURE FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
2EIF7 UNKNOWN SHP 39 5.2 0.9 0
2HDF9 EVER LENIENT SHP 62 11.0 1.4 0
32ST0 UNKNOWN SHP 621 7.1 3.3 2
3E3566 UNKNOWN SHP 43 5.8 1.1 0
3EBY2 UNKNOWN SHP 32 11.8 3.1 25
3EPL4 MSC POESIA SHP 135 4.2 4.6 0
3FFA5 MSC DIVINA SHP 20 12.8 1.2 79
3FOA6 MSC PREZIOSA SHP 58 4.9 2.7 2
3FWH8 EVER LOTUS SHP 31 11.4 1.4 0
3FYP8 UNKNOWN SHP 32 6.9 1.1 0
3FZI8 MSC SPLENDIDA SHP 77 -1.6 6.0 1
5LQA3 SPANACO ADVENTURE SHP 26 4.4 0.7 0
6QZJ45L UNKNOWN SHP 38 -4.3 1.8 0
7KOA UNKNOWN SHP 22 5.4 2.6 0
9HA3062 MEIN SCHIFF 3 SHP 138 -4.8 1.1 0
9HA4638 MSC SEASIDE SHP 85 9.3 1.5 1
9HA5180 APL SENTOSA SHP 52 4.9 1.7 0
9HA5209 MSC VIRTUOSA SHP 451 7.6 4.7 5
9HJB9 CELEBRITY CONSTELLATION SHP 149 4.1 1.8 0
9V5246 MAERSK SHEERNESS SHP 34 5.1 1.5 0
9V5247 MAERSK SOPHIA SHP 23 6.0 1.8 0
9V6171 MAERSK MEMPHIS SHP 35 -6.1 2.0 0
9V7305 EVER ACME SHP 47 5.6 1.7 1
9V7629 EVER MAST SHP 55 5.2 1.2 0
9V8372 UNKNOWN SHP 27 4.7 2.2 0
9V9399 APL SOUTHAMPTON SHP 41 5.3 1.2 0
9V9404 APL DUBLIN SHP 148 4.9 2.4 0
9V9924 APL SANTIAGO SHP 22 7.5 2.0 0
9VHK7 MAERSK ANTARES SHP 48 -6.1 2.3 0
A9LV SEAPEAK BAHRAIN SHP 1 0.0 0.0 27
ATAH2 APJ SETHU SHP 25 -10.7 1.0 0
BKIE EVER LIVEN SHP 54 8.4 1.5 0
C6AP3 PEGASUS VOYAGER SHP 22 4.5 3.8 0
C6EO5 CANOPUS VOYAGER SHP 26 8.4 1.2 0
C6FR3 NORWEGIAN STAR SHP 46 4.7 2.3 4
C6TQ6 NORWEGIAN SPIRIT SHP 86 -4.9 3.6 1
C6TX6 NORWEGIAN JEWEL SHP 76 5.9 1.7 0
C6YM6 SONANGOL SAMBIZANGA SHP 51 5.0 3.1 0
CQ2132 ALS HERCULES SHP 67 7.7 3.7 1
D5264 MAERSK LABREA SHP 37 6.1 2.8 0
D5DG4 PANDA 006 SHP 50 -5.3 1.8 2
D5NC3 DONINGTON SHP 33 4.4 1.2 0
ELYB6 BERTOLLE SHP 22 10.5 1.6 0
HOPW MSC LIRICA SHP 81 -5.1 2.9 5
HWQ33VU UNKNOWN SHP 80 4.2 3.3 0
JPTX UNKNOWN SHP 110 4.4 3.1 0
KUL7SEK UNKNOWN SHP 27 4.8 0.9 0
LAHR7 STAR KIRKENES SHP 81 6.3 0.9 0
LAPE7 STAR LIMA SHP 56 5.0 1.4 0
LAQL7 STAR LOFOTEN SHP 32 4.6 1.1 0
MJKZ4 EVER SHINE SHP 42 5.9 2.6 0
MRVWWQV UNKNOWN SHP 0 0.0 0.0 22
OXBB2 UNKNOWN SHP 46 4.3 1.3 0
OXSQ2 MAERSK ESSEX SHP 23 10.5 1.3 2
OZHS2 SALLY MAERSK SHP 145 5.7 1.0 0
OZIB2 MAERSK LONDRINA SHP 57 5.7 1.8 0
SBPQ UNKNOWN SHP 103 -4.2 1.5 0
TNVXRHV UNKNOWN SHP 41 -4.7 1.4 0
V7A4787 MARLIN HERA SHP 691 5.3 2.3 9
V7A6082 STI MODEST SHP 685 5.5 1.8 2
V7A6083 STI MILLENNIA SHP 22 -4.9 1.5 0
V7A6497 PASCAGOULA VOYAGER SHP 71 8.6 3.7 3
V7BL6 GARNET EXPRESS SHP 37 10.9 2.6 7
V7DI9 STI SLOANE SHP 25 6.5 1.9 0
V7DJ7 STI CONNAUGHT SHP 49 8.2 1.8 1
V7HH2 STI GALLANTRY SHP 25 -6.5 2.2 0
V7QK9 SEVEN SEAS EXPLORER SHP 148 4.1 2.4 0
V7QT7 UNKNOWN SHP 33 4.4 1.7 0
V7WS5 FEDERAL SKEENA SHP 44 -4.7 2.7 0
VABC ALGOMA INTREPID SHP 34 8.9 1.8 0
VRCC8 SAGA ENTERPRISE SHP 27 9.1 3.5 0
VRCI9 UNKNOWN SHP 20 4.6 4.1 0
VRFS2 UNKNOWN SHP 27 -5.7 2.4 0
VRGO2 UNKNOWN SHP 20 3.0 6.6 0
VRID6 COSCO PRINCE RUPERT SHP 45 -5.6 2.1 0
VRLJ4 UNKNOWN SHP 26 6.6 1.9 0
VRLT9 SAGA FANTASY SHP 69 5.2 1.6 0
VRNL9 SEASPAN BRIGHTNESS SHP 136 5.8 1.5 0
VROC3 YM WISH SHP 42 4.8 1.5 0
VRRI5 SHANDONG DA REN SHP 28 4.4 1.7 0
VRTU5 NYSTED MAERSK SHP 63 -5.8 0.9 0
VRUZ9 SAGA HORIZON SHP 37 5.4 2.2 0
VRVC9 ONE FOREVER SHP 182 -6.8 1.7 2
VRVO3 GERNER MAERSK SHP 25 9.2 1.4 1
VRVO9 GUNDE MAERSK SHP 60 4.9 2.0 0
VRVP3 GUSTAV MAERSK SHP 34 5.5 2.0 0
VTUQ SSL THAMIRABARANI SHP 0 0.0 0.0 29
WCY2920 KENNICOTT SHP 1745 -4.8 1.6 0
WDK5676 HUBBARD SHP 1372 -4.4 1.5 0
YUTPB4M UNKNOWN SHP 107 4.7 1.3 0
ZCDY2 UNKNOWN SHP 33 4.8 1.5 0
FRWL1 UNKNOWN TG 1440 4.7 0.8 0
41082 FB 4305 -8.1 1.9 12
45218 FB 0 0.0 0.0 493
NOVEMBER 2024
AIR TEMPERATURE FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
3EXY2 UNKNOWN SHP 21 4.1 2.3 0
3WH466J UNKNOWN SHP 26 4.3 2.2 0
9V7629 EVER MAST SHP 55 5.6 3.2 0
9V9400 APL SALALAH SHP 136 4.2 2.4 0
A8SI5 ZIM NINGBO SHP 37 4.2 1.9 0
C6CN5 SEAPEAK VANCOUVER SHP 21 4.3 1.8 0
V7A5868 FRITZI N SHP 38 4.2 2.7 0
V7HH2 STI GALLANTRY SHP 25 4.2 1.4 0
VDRU8 UNKNOWN SHP 28 4.9 4.1 0
VDWB UNKNOWN SHP 22 4.4 1.9 0
VRZP8 WEST BAY SHP 27 5.3 2.4 0
WTEK NOAA FERDINAND R. HASSLER SHP 790 5.3 4.1 12
WUR8857 LEE A. TREGURTHA (AWS) SHP 47 0.1 9.5 322
BLIA2 UNKNOWN CMN 1433 5.4 2.2 0
42022 FB 1420 6.1 1.6 0
45165 FB 929 4.2 1.7 0
NOVEMBER 2024
WIND DIRECTION FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
2EIF7 UNKNOWN SHP 33 33.9 39.3 6
2ZMV8HB UNKNOWN SHP 21 -103.0 14.5 1
32ST0 UNKNOWN SHP 545 56.6 34.9 78
3E5007 UNKNOWN SHP 19 -127.1 4.2 2
3EFK6 MSC MUSICA SHP 23 -108.7 9.3 2
3EWW7 EVER FORE SHP 32 -31.8 37.0 4
3FAR9 UNKNOWN SHP 24 -5.0 45.7 9
3FAZ9 UNKNOWN SHP 25 -52.2 32.5 6
3FCU3 UNKNOWN SHP 47 118.1 15.1 2
3FZI8 MSC SPLENDIDA SHP 47 160.9 52.2 31
3HPZXMS UNKNOWN SHP 42 -7.1 25.4 15
5CSD8GG UNKNOWN SHP 22 -127.8 5.2 2
5LCZ4 YM TOGETHER SHP 164 20.9 43.1 55
5LDS2 EVER FAVOR SHP 27 90.3 6.5 0
5LMQ8 UNKNOWN SHP 23 91.4 8.4 0
5LQA3 SPANACO ADVENTURE SHP 24 -168.5 25.2 2
5LRUZ9T UNKNOWN SHP 20 37.8 35.0 3
6QXET4K UNKNOWN SHP 29 -86.5 4.8 0
7GBN9QD UNKNOWN SHP 43 -36.2 37.6 3
7JKJ UNKNOWN SHP 21 -34.0 35.6 1
7KAB UNKNOWN SHP 25 -158.8 29.6 5
7KDA UNKNOWN SHP 30 -156.5 19.3 3
7KGK UNKNOWN SHP 56 -130.1 9.7 3
9FV386K UNKNOWN SHP 60 -37.5 30.0 6
9HA4330 MEIN SCHIFF 6 SHP 20 -171.9 30.6 2
9M3466 UNKNOWN SHP 42 61.1 47.4 17
9V2314 SPREAD EAGLE SHP 23 -149.4 36.1 2
9V2783 RTM DHAMBUL SHP 18 -162.9 14.7 2
9V3912 KN AMETHYST SHP 429 136.8 33.0 69
9V5076 PRACHI SHP 21 169.0 53.3 15
9V6316 UNKNOWN SHP 48 156.7 2.5 2
9V9574 MANIFESTO SHP 21 -30.5 26.9 2
9V9924 APL SANTIAGO SHP 19 -144.8 22.2 3
A9LV SEAPEAK BAHRAIN SHP 11 -172.2 42.4 17
AMOHK02 UNKNOWN SHP 111 -39.0 31.4 33
ATAH2 APJ SETHU SHP 23 154.1 2.0 2
ATR9M5U UNKNOWN SHP 34 -49.3 44.1 8
AUYN SWARNA KAMAL SHP 15 -99.4 42.3 9
AVBD DESH SURAKSHA SHP 21 102.0 48.2 24
AWWB NANDA DEVI SHP 14 -14.6 51.0 13
AWXA APJ ANGAD 2 SHP 37 57.7 49.0 9
BFHM5UQ UNKNOWN SHP 89 30.1 36.6 10
BKIE EVER LIVEN SHP 48 41.8 36.4 6
C6EI3 APOLLO VOYAGER SHP 29 35.4 41.0 6
C6VG7 NORWEGIAN PEARL SHP 54 -6.9 51.2 23
C6YM7 SONANGOL BENGUELA SHP 27 86.9 3.1 0
CFK5152 CSL ST-LAURENT SHP 18 141.2 13.4 3
CNGUSYM UNKNOWN SHP 56 -86.1 4.2 0
CQ2132 ALS HERCULES SHP 51 -1.1 29.9 17
CQNL MINERAL YANGFAN SHP 17 141.1 26.4 5
CTT33GW UNKNOWN SHP 17 -131.1 9.3 3
DYBJBBS UNKNOWN SHP 65 -37.2 37.7 7
EDU53ER UNKNOWN SHP 21 167.5 17.4 3
ELYB6 BERTOLLE SHP 18 -44.7 44.1 4
ESMT8LW UNKNOWN SHP 93 -122.6 11.3 5
FDWKMSB UNKNOWN SHP 76 -34.1 25.9 5
HBLLCVS UNKNOWN SHP 21 0.2 43.0 8
HC2083 CELEBRITY XPEDITION SHP 23 147.7 14.8 5
HOPW MSC LIRICA SHP 71 -46.5 45.0 15
KAED AMERICAN ENDURANCE SHP 39 -87.9 3.4 0
KBYV56K UNKNOWN SHP 52 -149.6 31.1 7
KUL7SEK UNKNOWN SHP 23 -55.0 28.3 4
KZAMFKY UNKNOWN SHP 33 1.5 41.5 11
MERFR09 UNKNOWN SHP 107 30.4 36.3 12
MMQLY7W UNKNOWN SHP 20 30.0 33.3 3
MPP7LPS UNKNOWN SHP 48 33.3 37.3 6
ONGR MINERAL STONEHENGE SHP 30 146.7 17.7 2
ONKF UNKNOWN SHP 40 -36.9 40.5 7
ONLA UNKNOWN SHP 19 -149.9 48.7 6
OWLD2 CHARLOTTE MAERSK SHP 38 167.9 18.3 2
OWRS2 UNKNOWN SHP 21 109.1 12.3 1
OXSQ2 MAERSK ESSEX SHP 22 -42.7 31.1 3
OZJM2 MAERSK LIMA SHP 22 30.2 39.4 2
RVJZZZD UNKNOWN SHP 27 36.4 29.8 2
SBPT UNKNOWN SHP 77 -18.1 45.6 34
SCY6TVD UNKNOWN SHP 41 -146.9 10.6 3
TZK8KDX UNKNOWN SHP 19 160.4 2.2 3
UCOR UNKNOWN SHP 32 31.3 31.3 3
UERK UNKNOWN SHP 32 33.8 37.0 4
UFNP UNKNOWN SHP 21 133.6 0.9 2
V7A6081 STI MYSTERY SHP 263 -31.4 36.9 20
V7A6441 LONDON VOYAGER SHP 43 -172.8 29.4 7
V7A7519 FAIRCHEM PATHFINDER SHP 23 -47.7 37.0 5
V7BL6 GARNET EXPRESS SHP 40 31.6 29.1 3
V7DI9 STI SLOANE SHP 18 48.4 41.5 6
V7DJ7 STI CONNAUGHT SHP 45 34.1 30.9 5
V7HH2 STI GALLANTRY SHP 17 -65.7 30.6 8
V7QJ3 TRINITY SHP 50 33.3 32.3 4
VR007 UNKNOWN SHP 74 -124.7 6.9 2
VRBQ6 UNKNOWN SHP 26 -15.3 34.3 9
VRCC8 SAGA ENTERPRISE SHP 10 -10.0 47.3 17
VRCG8 UNKNOWN SHP 21 157.6 16.0 2
VRFI7 UNKNOWN SHP 63 -0.3 34.9 24
VRGO3 UNKNOWN SHP 17 -5.2 35.8 6
VRID6 COSCO PRINCE RUPERT SHP 39 55.6 37.4 6
VRLA6 MINERAL CLOUDBREAK SHP 55 -106.0 1.2 2
VRLK2 JIANGMEN TRADER SHP 17 -37.6 38.5 3
VRME6 UNKNOWN SHP 29 -103.3 16.4 2
VRNR5 UNKNOWN SHP 19 -61.5 40.0 6
VROC3 YM WISH SHP 38 127.3 31.6 4
VRQK3 OTAGO BAY SHP 33 9.3 38.5 20
VRRB6 SHANDONG DA DE SHP 87 42.8 34.1 12
VRRD2 FMG MATILDA SHP 61 -32.7 38.9 15
VRTF2 UNKNOWN SHP 38 48.9 47.6 8
VRVI3 PITT ISLAND SHP 20 165.1 25.1 5
VRVO3 GERNER MAERSK SHP 24 -118.3 16.5 2
VRVP2 SAGA TUCANO SHP 29 -94.0 55.2 19
VTHL CONCORD SHP 41 38.7 40.2 7
VTUQ SSL THAMIRABARANI SHP 2 -93.3 6.6 27
WCW7550 ROSS CHOUEST SHP 17 51.9 43.6 7
WCX2417 AMERICAN SPIRIT SHP 27 10.0 30.5 12
WDD2876 AMERICAN CENTURY SHP 44 -13.9 34.8 17
WDE7804 KESTREL SHP 389 92.8 56.7 325
WDF7019 OLIVE L. MOORE SHP 75 -35.3 31.8 9
WDK8035 STEADFAST SHP 515 -61.6 47.3 201
WSAF SALLY RIDE (AWS) SHP 640 3.6 38.3 221
WSQ2674 ROBERT GORDON SPROUL (AWS SHP 400 10.2 45.4 259
WTEA NOAA THOMAS JEFFERSON (AW SHP 57 -32.7 29.5 6
WTEB NOAA FAIRWEATHER (AWS) SHP 516 -10.9 52.1 204
WTEO NOAA GORDON GUNTER (AWS) SHP 442 -18.0 43.4 278
WZK3K4L UNKNOWN SHP 23 3.3 33.9 8
WZU9GCQ UNKNOWN SHP 31 -149.2 22.5 2
XCCB4 UNKNOWN SHP 63 -169.0 22.8 5
XDEPLRT UNKNOWN SHP 19 -117.7 10.8 3
XYKWGQR UNKNOWN SHP 40 -6.4 44.1 18
YQB5QNN UNKNOWN SHP 14 1.4 48.2 7
ZQBVSBE UNKNOWN SHP 28 -83.9 2.0 0
ZSWCQRH UNKNOWN SHP 40 35.5 34.6 3
ACXS1 UNKNOWN CMN 1889 -19.3 43.6 979
AJXA2 UNKNOWN CMN 3065 -5.3 47.2 1186
ANMN6 UNKNOWN CMN 2044 -11.7 48.9 812
BABT2 UNKNOWN CMN 6151 -30.7 31.0 929
CPXC1 UNKNOWN CMN 4688 85.3 49.2 3075
ELXC1 UNKNOWN CMN 1974 6.3 48.7 903
FILA2 UNKNOWN CMN 830 154.5 35.2 609
GSLM4 UNKNOWN CMN 3905 -30.0 23.1 238
HAXA2 UNKNOWN CMN 2916 -29.7 45.5 1343
HMSA2 UNKNOWN CMN 3605 -54.4 44.8 582
ILOH1 UNKNOWN CMN 3650 104.1 54.7 3432
JCRN4 UNKNOWN CMN 2397 -68.6 32.4 483
JLXA2 UNKNOWN CMN 2651 -25.6 50.0 1586
KEXA2 UNKNOWN CMN 2636 -1.5 50.9 1613
LCNA2 UNKNOWN CMN 578 38.9 37.2 49
LJPC1 UNKNOWN CMN 511 63.0 49.4 199
LMFS1 UNKNOWN CMN 3587 -35.6 40.1 733
MLSC1 UNKNOWN CMN 4842 -7.2 44.6 1771
MRYA2 UNKNOWN CMN 3193 -7.5 46.5 1091
MXXA2 UNKNOWN CMN 3136 -17.5 52.1 1108
NAXR1 UNKNOWN CMN 2320 79.3 30.4 552
NKXA2 UNKNOWN CMN 3699 36.6 38.5 534
NPDW3 UNKNOWN CMN 1322 -48.0 27.2 82
NWWH1 UNKNOWN CMN 5240 -23.6 30.3 1839
OMHC1 UNKNOWN CMN 5239 -1.9 45.3 1926
PBPA2 UNKNOWN CMN 496 -133.4 36.7 125
PCNT2 UNKNOWN CMN 5980 -34.7 31.8 1100
PGXA2 UNKNOWN CMN 3390 -64.1 39.5 854
PILA2 UNKNOWN CMN 683 -18.4 37.7 757
PTLA2 UNKNOWN CMN 3523 -59.3 43.3 755
RIXA2 UNKNOWN CMN 3783 54.5 35.3 468
SCXA2 UNKNOWN CMN 3672 -37.6 37.4 573
SDIA2 UNKNOWN CMN 1447 -8.2 49.9 653
SDRT2 UNKNOWN CMN 6332 -43.0 34.1 740
SFXC1 UNKNOWN CMN 2124 -2.6 47.7 750
SHXA2 UNKNOWN CMN 3049 59.0 45.7 1197
SISA2 UNKNOWN CMN 575 48.5 36.9 55
SKXA2 UNKNOWN CMN 2409 -13.6 32.6 1837
SLVM5 UNKNOWN CMN 3435 -153.6 50.4 1106
SLXA2 UNKNOWN CMN 2828 -1.9 50.2 1382
SVNM4 UNKNOWN CMN 634 -34.4 19.2 26
TIXC1 UNKNOWN CMN 1783 5.9 44.1 1096
TKEA2 UNKNOWN CMN 2674 -10.6 48.5 1600
WAXM3 UNKNOWN CMN 1637 95.3 45.6 1231
WEXM1 UNKNOWN CMN 2467 -31.2 28.4 342
YGNN6 UNKNOWN CMN 4045 -35.6 32.8 275
YRSV2 UNKNOWN CMN 1940 -14.4 46.2 936
AAMC1 UNKNOWN TG 1023 -7.4 49.2 379
ANPT2 UNKNOWN TG 1368 -53.0 25.0 72
ANTA2 UNKNOWN TG 950 -79.6 55.7 487
ANVC1 UNKNOWN TG 1122 -59.2 44.4 318
APAM2 UNKNOWN TG 19 -45.1 16.2 2
BABT2 UNKNOWN TG 1254 -31.1 31.1 182
BFTN7 UNKNOWN TG 14 8.5 24.7 7
BLIF1 UNKNOWN TG 19 -30.8 27.4 2
BMTW1 UNKNOWN TG 464 -165.8 46.7 975
BRHC3 UNKNOWN TG 21 -84.4 2.0 0
CHCM2 UNKNOWN TG 20 -96.3 15.5 1
CHTS1 UNKNOWN TG 21 -90.7 2.4 0
CMTI2 UNKNOWN TG 1385 -31.1 24.4 54
DOMV2 UNKNOWN TG 19 98.2 10.2 2
DUKN7 UNKNOWN TG 18 -146.2 3.7 3
EMAT2 UNKNOWN TG 1293 -34.9 33.7 147
FRWL1 UNKNOWN TG 1297 -33.3 27.0 143
FSKM2 UNKNOWN TG 19 141.1 3.2 2
FTPC1 UNKNOWN TG 1224 -48.0 41.5 200
ILOH1 UNKNOWN TG 764 104.5 53.9 676
JMPN7 UNKNOWN TG 14 57.6 47.4 7
JNEA2 UNKNOWN TG 1022 -21.3 50.3 418
KECA2 UNKNOWN TG 926 -9.8 48.5 507
KGCA2 UNKNOWN TG 1218 -45.1 44.8 222
KYWF1 UNKNOWN TG 19 174.8 4.5 2
LJAC1 UNKNOWN TG 1046 62.9 51.5 394
LNDC1 UNKNOWN TG 1058 1.1 46.8 382
LWTV2 UNKNOWN TG 20 -98.7 10.0 1
MBET2 UNKNOWN TG 1333 37.6 31.5 106
MGIP4 UNKNOWN TG 1339 -36.4 34.9 101
MGPT2 UNKNOWN TG 1347 -41.4 29.3 93
MHRN6 UNKNOWN TG 20 -30.7 14.6 1
MNPV2 UNKNOWN TG 19 30.8 36.1 2
MYPF1 UNKNOWN TG 18 158.0 6.5 2
NCDV2 UNKNOWN TG 21 -30.2 19.0 0
NCHT2 UNKNOWN TG 1307 40.5 38.0 124
NFDF1 UNKNOWN TG 18 -44.4 33.6 3
NMTA2 UNKNOWN TG 976 -23.6 48.1 403
NTBC1 UNKNOWN TG 662 172.3 50.8 777
NWWH1 UNKNOWN TG 1066 -24.0 30.0 373
OBGN6 UNKNOWN TG 1278 35.6 33.7 158
OKXC1 UNKNOWN TG 566 1.6 50.9 239
OMHC1 UNKNOWN TG 1056 -1.3 45.1 384
PACT2 UNKNOWN TG 1300 -41.3 28.1 102
PCNT2 UNKNOWN TG 1166 -36.0 31.1 216
PCOC1 UNKNOWN TG 1002 -38.9 40.4 116
PEGF1 UNKNOWN TG 18 -113.8 13.8 3
PLXA2 UNKNOWN TG 941 -22.2 42.8 499
PORT2 UNKNOWN TG 1399 -30.2 24.9 40
PRHH1 UNKNOWN TG 1185 -44.2 26.4 255
PSBC1 UNKNOWN TG 1189 52.0 43.8 251
PSLC1 UNKNOWN TG 972 77.4 49.4 468
PTAW1 UNKNOWN TG 875 15.8 50.0 362
PXOC1 UNKNOWN TG 1074 -13.7 43.5 366
RCKM4 UNKNOWN TG 1289 -39.2 34.7 148
RTAT2 UNKNOWN TG 1360 -37.9 26.8 80
RTYC1 UNKNOWN TG 1018 -4.1 47.6 421
SDRT2 UNKNOWN TG 1283 -43.3 33.9 144
SLIM2 UNKNOWN TG 20 -34.7 22.4 1
TKPN6 UNKNOWN TG 16 -45.5 19.3 5
VCAF1 UNKNOWN TG 16 -30.4 29.6 5
WNEM4 UNKNOWN TG 1288 -30.6 36.1 150
YKTV2 UNKNOWN TG 20 -34.6 27.1 1
41037 FB 168 143.3 41.6 122
41053 FB 3599 51.7 43.0 691
44150 FB 262 5.1 28.4 133
45022 FB 275 -36.0 29.8 22
45165 FB 878 -47.5 29.0 51
45168 FB 145 81.9 0.0 0
45174 FB 113 -44.1 12.5 3
45203 FB 748 36.9 22.7 68
45209 FB 1060 35.9 24.4 73
45219 FB 1589 -19.7 39.4 607
46036 FB 223 121.9 6.1 5
46054 FB 3165 44.6 35.3 376
46060 FB 441 -163.1 45.9 279
46061 FB 3619 -37.3 39.5 701
46076 FB 2982 6.6 38.3 1338
46081 FB 592 -39.1 44.5 128
46087 FB 3806 37.1 39.6 513
46088 FB 3145 -11.1 43.8 1172
46092 FB 542 -32.9 42.2 172
46131 FB 650 31.4 37.8 54
46204 FB 682 -32.1 25.9 35
46304 FB 608 -58.2 42.9 112
62113 FB 55 40.4 32.9 59
13009 DB 225 87.4 20.5 50
23003 DB 38 -124.2 29.4 259
23452 DB 208 43.8 20.5 8
23497 DB 106 3.9 55.2 99
51011 DB 470 -108.2 8.1 6
52311 DB 716 84.6 2.0 0
NOVEMBER 2024
WIND SPEED FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
3E3566 UNKNOWN SHP 42 5.1 2.2 1
4YZQEDM UNKNOWN SHP 36 8.1 5.1 10
7AL72XF UNKNOWN SHP 40 5.2 3.6 3
AMOHK02 UNKNOWN SHP 0 0.0 0.0 144
C6EF4 NORWEGIAN ENCORE SHP 140 5.3 3.9 2
VDAS ALGOMA INNOVATOR (AWS) SHP 35 6.6 3.0 0
VRVP2 SAGA TUCANO SHP 48 5.2 4.8 0
VTUQ SSL THAMIRABARANI SHP 21 11.8 1.8 8
WDF7990 NANIQ SHP 23 5.0 6.0 1
XJL6M6W UNKNOWN SHP 31 6.0 4.2 1
EROA2 UNKNOWN CMN 625 6.4 3.8 1
ERXA2 UNKNOWN CMN 4258 6.8 3.9 4
POTA2 UNKNOWN CMN 1434 6.0 3.4 3
RIXA2 UNKNOWN CMN 4175 5.5 4.4 76
WAXM3 UNKNOWN CMN 2868 -5.4 2.2 0
BRHC3 UNKNOWN TG 21 -5.0 1.5 0
NTKM3 UNKNOWN TG 21 -5.9 1.9 0
OCIM2 UNKNOWN TG 21 -5.5 2.2 0
OOUH1 UNKNOWN TG 1440 -5.6 2.8 0
WAHV2 UNKNOWN TG 21 -7.7 2.4 0
13009 DB 275 -5.5 3.3 0
NOVEMBER 2024
SEA SURFACE TEMP. FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
32ST0 UNKNOWN SHP 623 -9.4 0.7 0
3ETR7 MSC FANTASIA SHP 84 5.2 3.3 0
3FZI8 MSC SPLENDIDA SHP 43 4.7 2.6 0
6QZJ45L UNKNOWN SHP 35 -4.0 2.2 0
7GBN9QD UNKNOWN SHP 46 7.7 4.1 0
7KEK UNKNOWN SHP 21 4.3 1.2 0
9HA4902 MSC BELLISSIMA SHP 121 -6.3 3.5 0
9V3912 KN AMETHYST SHP 498 4.4 1.3 0
A8SI5 ZIM NINGBO SHP 37 4.5 0.8 0
H3JW UNKNOWN SHP 29 4.2 0.9 0
HBLLCVS UNKNOWN SHP 29 -5.5 1.6 0
HOPW MSC LIRICA SHP 86 -5.5 2.5 0
MERFR09 UNKNOWN SHP 113 4.1 3.9 6
MERFR13 UNKNOWN SHP 64 4.3 4.7 0
MERFR22 UNKNOWN SHP 120 5.7 2.3 0
NRTA86U UNKNOWN SHP 20 4.6 0.8 0
ONLA UNKNOWN SHP 24 -6.8 1.1 0
OYGM2 GERD MAERSK SHP 33 4.1 0.8 0
OZIB2 MAERSK LONDRINA SHP 56 4.2 0.7 0
SBPQ UNKNOWN SHP 101 4.5 3.5 2
UBUO6 UNKNOWN SHP 24 4.2 3.5 0
VRAR6 UNKNOWN SHP 21 -4.1 1.3 0
VRBQ6 UNKNOWN SHP 21 -6.0 2.7 0
VRVP2 SAGA TUCANO SHP 42 -4.7 2.8 0
VRZP8 WEST BAY SHP 26 -4.6 3.7 0
WDC6055 STEWART J. CORT SHP 60 4.9 4.2 1
WTEK NOAA FERDINAND R. HASSLER SHP 577 4.9 4.4 7
WTEP NOAA OSCAR DYSON (AWS) SHP 187 9.6 1.3 6
XYKWGQR UNKNOWN SHP 53 5.0 2.9 0
ELFA2 UNKNOWN CMN 4912 8.0 3.0 572
LPNM4 UNKNOWN CMN 5368 5.0 2.3 0
RLOT2 UNKNOWN CMN 5389 6.1 2.6 0
WNEM4 UNKNOWN CMN 5360 6.9 3.6 0
ALIA2 UNKNOWN TG 1440 4.8 1.9 0
ALXN6 UNKNOWN TG 1392 6.7 4.8 47
BKTL1 UNKNOWN TG 1340 6.1 4.8 99
BLTM2 UNKNOWN TG 1420 4.5 5.9 12
BUFN6 UNKNOWN TG 1439 4.3 4.1 0
CHAO3 UNKNOWN TG 561 6.4 1.9 0
CRVA2 UNKNOWN TG 1115 8.7 3.0 263
DTLM4 UNKNOWN TG 1440 4.6 4.0 0
DULM5 UNKNOWN TG 1216 7.4 3.5 222
ELFA2 UNKNOWN TG 1296 8.1 3.0 144
GDMM5 UNKNOWN TG 1259 9.0 2.7 180
HIST2 UNKNOWN TG 1440 5.6 2.7 0
ITKA2 UNKNOWN TG 1370 8.5 3.0 69
JNEA2 UNKNOWN TG 1439 5.8 2.8 0
KECA2 UNKNOWN TG 1433 4.3 1.9 0
LOPW1 UNKNOWN TG 1432 5.4 2.3 0
LPNM4 UNKNOWN TG 1438 4.8 2.2 0
LTRM4 UNKNOWN TG 1437 6.5 3.1 0
NCHT2 UNKNOWN TG 1431 4.1 5.0 0
NEAW1 UNKNOWN TG 1409 4.2 1.7 0
NMTA2 UNKNOWN TG 1440 6.5 3.0 0
OBGN6 UNKNOWN TG 1413 4.8 4.7 24
PEGF1 UNKNOWN TG 1392 4.0 2.4 0
PNLM4 UNKNOWN TG 1440 4.6 3.7 0
PRDA2 UNKNOWN TG 834 7.6 3.9 585
PTAW1 UNKNOWN TG 1440 4.6 2.2 0
RCKM4 UNKNOWN TG 1437 4.5 3.3 0
RDDA2 UNKNOWN TG 1001 9.6 3.1 423
RLOT2 UNKNOWN TG 1438 6.0 2.5 0
SKTA2 UNKNOWN TG 683 10.8 2.0 755
SWLA2 UNKNOWN TG 776 11.0 1.7 664
SWPM4 UNKNOWN TG 1439 5.7 2.9 0
TCNW1 UNKNOWN TG 1440 6.1 2.5 0
TKPN6 UNKNOWN TG 1438 4.3 5.4 2
TRDF1 UNKNOWN TG 1440 4.2 3.1 0
VDZA2 UNKNOWN TG 846 11.1 2.5 592
WNEM4 UNKNOWN TG 1438 6.5 3.6 0
YATA2 UNKNOWN TG 1440 7.6 2.5 0
44043 FB 6096 2.6 6.1 0
45022 FB 296 7.7 3.8 0
45029 FB 268 6.4 3.4 0
45142 FB 712 5.2 4.4 0
45151 FB 718 4.9 4.1 0
45152 FB 360 4.9 5.1 0
45168 FB 145 5.2 2.0 0
45209 FB 1132 4.1 4.9 0
45215 FB 1430 4.5 3.8 0
46087 FB 1433 5.5 0.7 0
46145 FB 718 4.5 2.2 0
46146 FB 719 5.0 1.7 0
46181 FB 557 8.2 2.3 162
46267 FB 1431 4.9 2.4 0
46274 FB 1435 0.1 6.0 0
46304 FB 720 4.3 1.4 0
TOTAL NUMBER OF OBSERVATIONS FOR NOVEMBER 2024 (EXCLUDING DUPLICATES
AND THOSE FROM CALLSIGN 'SHIP') WAS 1987307. TOTAL NUMBER OF
OBSERVATIONS FROM CALLSIGN 'SHIP' (EXCLUDING DUPLICATES) WAS 42.
TOTAL NUMBER OF IDS WAS 2518.
