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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
OCTOBER 2024
SEA-LEVEL PRESSURE FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
2CYD8 UNKNOWN SHP 34 -4.4 0.6 0
2EIF7 UNKNOWN SHP 27 5.4 0.9 0
2HDF9 EVER LENIENT SHP 39 9.7 1.3 0
2KZJ7DD UNKNOWN SHP 60 5.3 1.6 0
32ST0 UNKNOWN SHP 570 5.3 3.3 37
3E3566 UNKNOWN SHP 41 4.8 1.7 0
3EBY2 UNKNOWN SHP 22 11.9 3.0 9
3FFA5 MSC DIVINA SHP 37 13.1 1.9 54
3FWH8 EVER LOTUS SHP 67 10.6 1.4 0
3FZI8 MSC SPLENDIDA SHP 59 5.2 1.4 0
3GFKKCC UNKNOWN SHP 74 6.5 1.4 0
5LMQ8 UNKNOWN SHP 27 5.1 2.4 0
7JQV UNKNOWN SHP 41 4.1 1.3 0
7JUN UNKNOWN SHP 44 -4.0 1.4 0
9HA3062 MEIN SCHIFF 3 SHP 143 -4.8 2.0 0
9HA3793 CMA CGM LITANI SHP 43 12.3 3.2 31
9HA4638 MSC SEASIDE SHP 73 7.9 1.7 0
9HA5180 APL SENTOSA SHP 60 5.1 1.8 0
9HA5209 MSC VIRTUOSA SHP 476 12.9 1.6 92
9HA5823 EXPLORA 1 SHP 197 6.4 1.7 0
9HJB9 CELEBRITY CONSTELLATION SHP 40 4.3 1.4 0
9HSJ7 DISHA SHP 25 6.6 0.7 0
9V2705 STI MAVERICK SHP 24 4.2 2.9 0
9V3913 KN ARCADIA SHP 665 5.0 1.5 0
9V5246 MAERSK SHEERNESS SHP 20 6.7 1.6 0
9V5247 MAERSK SOPHIA SHP 20 6.7 1.2 0
9V6627 ELECTRA SHP 23 6.1 1.9 0
9V6814 MAERSK ATHABASCA SHP 20 6.7 2.3 0
9V7629 EVER MAST SHP 43 4.9 2.1 0
9V8190 PYXIS PIONEER SHP 54 5.3 1.5 1
9V9375 APL LE HAVRE SHP 84 5.2 3.0 0
9V9399 APL SOUTHAMPTON SHP 75 4.9 1.7 0
9V9402 APL BARCELONA SHP 47 11.4 1.4 6
9V9404 APL DUBLIN SHP 122 7.5 3.0 4
9V9450 CAPE AZALEA SHP 369 4.3 3.6 0
9VHK7 MAERSK ANTARES SHP 20 -6.5 1.1 1
A9LV SEAPEAK BAHRAIN SHP 17 14.1 0.6 9
AUBE DESH RAKSHAK SHP 0 0.0 0.0 97
AWXA APJ ANGAD 2 SHP 37 -4.8 3.7 0
BHJH EVER ART SHP 25 5.2 3.5 0
BKIE EVER LIVEN SHP 62 6.4 2.6 1
BKIY EVER LUCID SHP 26 4.6 0.9 0
C6BU3 UNKNOWN SHP 32 5.1 1.1 0
C6EI3 APOLLO VOYAGER SHP 36 4.1 1.0 0
C6EO5 CANOPUS VOYAGER SHP 22 6.4 1.7 0
C6FB3 NORWEGIAN PRIMA SHP 30 -6.3 1.7 1
C6ZJ4 NORWEGIAN GETAWAY SHP 33 -5.7 2.3 0
CQ2132 ALS HERCULES SHP 42 10.7 2.0 1
D5264 MAERSK LABREA SHP 39 5.1 1.7 0
D5DG4 PANDA 006 SHP 37 -5.4 2.5 0
D5NC3 DONINGTON SHP 34 5.2 1.7 0
DKK5B7W UNKNOWN SHP 24 5.1 1.7 0
ELYB6 BERTOLLE SHP 20 8.5 1.6 1
H9NL ONE CRANE SHP 118 6.7 2.4 1
JCP83EY UNKNOWN SHP 74 4.3 2.5 0
KIAB MATSONIA SHP 34 5.9 1.6 0
LAHR7 STAR KIRKENES SHP 41 6.5 1.4 0
LAOL5 TAMESIS SHP 24 6.6 2.8 0
LAQN7 STAR LOEN SHP 41 4.7 2.7 0
MJKZ4 EVER SHINE SHP 44 5.9 2.6 1
MRVWWQV UNKNOWN SHP 8 12.5 2.8 44
OZHS2 SALLY MAERSK SHP 146 5.4 1.6 0
OZIB2 MAERSK LONDRINA SHP 38 6.2 2.5 2
S6CH6 MAERSK SEMAKAU SHP 87 6.7 1.4 0
SBPQ UNKNOWN SHP 113 -4.6 0.4 0
SCY6TVD UNKNOWN SHP 58 4.4 1.0 0
TNVXRHV UNKNOWN SHP 27 -6.6 1.4 0
UAST UNKNOWN SHP 2 -5.4 4.5 22
UDKG UNKNOWN SHP 23 6.5 3.1 0
UHXO UNKNOWN SHP 96 6.0 2.0 0
V7A4788 MARLIN HESTIA SHP 63 9.7 2.0 2
V7A5254 MARLIN LA PLATA SHP 815 9.6 1.5 0
V7A6070 STI MAESTRO SHP 667 4.9 2.1 0
V7A6081 STI MYSTERY SHP 416 4.1 1.4 0
V7A6082 STI MODEST SHP 665 6.5 1.4 1
V7A6083 STI MILLENNIA SHP 20 -6.5 2.5 0
V7A6440 RICHMOND VOYAGER SHP 59 4.3 2.0 0
V7A6496 SINGAPORE VOYAGER SHP 24 13.4 0.8 39
V7A6497 PASCAGOULA VOYAGER SHP 94 8.3 2.6 5
V7A6509 GLASGOW VOYAGER SHP 610 6.3 1.7 0
V7AK6 THE PROSPECTOR SHP 24 5.1 3.5 1
V7BL6 GARNET EXPRESS SHP 37 12.5 2.4 6
V7DI9 STI SLOANE SHP 44 6.4 1.4 0
V7DJ7 STI CONNAUGHT SHP 89 7.4 3.4 0
V7HH2 STI GALLANTRY SHP 20 -6.5 1.7 0
V7QK9 SEVEN SEAS EXPLORER SHP 232 4.6 2.9 4
V7QT7 UNKNOWN SHP 37 7.5 2.1 0
VABC ALGOMA INTREPID SHP 21 9.2 1.9 2
VRCC8 SAGA ENTERPRISE SHP 26 10.4 4.5 3
VRDG3 MAERSK ANTWERP SHP 23 4.8 1.3 0
VREX4 UNKNOWN SHP 27 8.0 1.9 0
VRFS2 UNKNOWN SHP 25 2.5 6.1 0
VRGO6 UNKNOWN SHP 29 -4.3 3.4 0
VRLT9 SAGA FANTASY SHP 51 4.5 2.6 0
VRME7 UNKNOWN SHP 53 7.2 4.8 1
VROO4 UNKNOWN SHP 29 7.7 3.9 0
VRQS3 UNKNOWN SHP 44 7.2 1.3 0
VRRB6 SHANDONG DA DE SHP 63 8.5 5.2 10
VRRH6 UNKNOWN SHP 34 4.9 0.5 0
VRRI5 SHANDONG DA REN SHP 86 4.1 2.7 0
VRVC9 ONE FOREVER SHP 62 -6.9 1.3 0
VRVO2 GERDA MAERSK SHP 24 9.1 1.3 0
VRVO3 GERNER MAERSK SHP 35 9.1 1.2 0
VRVP3 GUSTAV MAERSK SHP 45 5.2 1.0 0
VRWQ2 UNKNOWN SHP 93 -4.2 3.0 0
VTUQ SSL THAMIRABARANI SHP 0 0.0 0.0 26
VTVW APJ INDRANI SHP 0 0.0 0.0 43
WCY2920 KENNICOTT SHP 1677 -4.7 1.5 0
WDK5676 HUBBARD SHP 1407 -4.1 1.4 0
WYM9567 AURORA SHP 956 -4.1 1.5 0
XYKWGQR UNKNOWN SHP 39 4.4 2.2 0
YUTPB4M UNKNOWN SHP 80 4.4 2.3 0
ZCDY2 UNKNOWN SHP 82 6.3 1.9 1
FRWL1 UNKNOWN TG 1484 4.9 0.8 0
LPNM4 UNKNOWN TG 0 0.0 0.0 1471
41082 FB 4430 -8.4 1.4 5
45201 FB 3230 3.6 6.3 600
45218 FB 1259 -0.0 1.0 711
OCTOBER 2024
AIR TEMPERATURE FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
32ST0 UNKNOWN SHP 247 -9.9 1.3 8
3E5835 VST LYRA SHP 19 4.3 3.7 1
9V2780 RTM FLINDERS SHP 22 5.0 1.5 0
9V3912 KN AMETHYST SHP 281 4.6 2.8 0
9V5250 UNKNOWN SHP 80 4.0 2.2 0
9V9399 APL SOUTHAMPTON SHP 75 4.1 2.1 0
9V9400 APL SALALAH SHP 79 4.2 2.6 0
ALBARO UNKNOWN SHP 20 6.0 3.9 0
USS8SCM MATSON WAIKIKI SHP 26 4.7 2.1 0
V7JD2 STI ROSE SHP 25 4.2 1.2 0
VRLF8 SAGA FORTUNE SHP 27 4.7 3.0 0
VRVO2 GERDA MAERSK SHP 24 5.3 3.5 0
WTEG NOAA REUBEN LASKER (AWS) SHP 121 4.1 2.3 0
WTEK NOAA FERDINAND R. HASSLER SHP 1063 4.3 3.5 0
WUR8857 LEE A. TREGURTHA (AWS) SHP 0 0.0 0.0 21
YDDP2 UNKNOWN SHP 28 4.8 1.3 0
BLIA2 UNKNOWN CMN 1482 4.6 1.5 0
CPXC1 UNKNOWN CMN 8378 -4.2 3.4 0
ELXC1 UNKNOWN CMN 657 -9.3 2.7 277
MLSC1 UNKNOWN CMN 5666 -5.1 3.5 10
NTBC1 UNKNOWN TG 1485 -4.1 3.5 0
42022 FB 430 4.9 1.6 0
45201 FB 3438 -7.1 4.3 392
45218 FB 1893 6.5 4.9 18
46092 FB 697 -4.2 3.5 0
46275 FB 1427 -4.7 3.4 0
46276 FB 1406 -5.4 3.9 3
46279 FB 1438 -5.4 3.8 5
46282 FB 1396 -5.0 3.8 7
OCTOBER 2024
WIND DIRECTION FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
2CYD8 UNKNOWN SHP 30 35.6 43.2 5
2GLI9 EVER LINKING SHP 99 100.7 21.5 5
2PN7YZN UNKNOWN SHP 19 -43.8 36.5 3
2XAKVHD UNKNOWN SHP 38 105.4 2.9 2
32ST0 UNKNOWN SHP 473 73.4 38.9 134
3AQQXHY UNKNOWN SHP 25 -112.5 14.1 4
3E2032 UNKNOWN SHP 54 175.5 19.9 4
3E2529 UNKNOWN SHP 26 -50.0 39.7 4
3E3838 UNKNOWN SHP 60 -104.3 10.9 1
3E4612 UNKNOWN SHP 44 96.4 8.9 1
3E5835 VST LYRA SHP 16 -128.9 17.6 4
3FAZ9 UNKNOWN SHP 21 -157.5 38.4 6
3FBO6 UNKNOWN SHP 46 -161.9 17.3 2
3FEM7 UNKNOWN SHP 37 -32.3 37.2 3
3FFA5 MSC DIVINA SHP 76 57.6 47.3 15
3FZI8 MSC SPLENDIDA SHP 37 -153.1 49.1 22
3GFKKCC UNKNOWN SHP 67 -31.2 35.9 7
5LCZ4 YM TOGETHER SHP 41 -5.4 48.7 40
5MGXH3D UNKNOWN SHP 21 121.4 13.9 2
6NV2S7Y UNKNOWN SHP 78 31.1 34.1 4
6QXET4K UNKNOWN SHP 35 102.1 6.2 2
7JFK UNKNOWN SHP 28 -48.2 43.2 8
7JGE UNKNOWN SHP 30 -136.9 28.3 4
7JZX UNKNOWN SHP 9 6.4 23.4 15
7KPW UNKNOWN SHP 25 11.4 40.6 15
9HA3513 MEIN SCHIFF 4 SHP 25 137.8 4.9 2
9HA4330 MEIN SCHIFF 6 SHP 68 -4.6 40.3 23
9HJC9 CELEBRITY SUMMIT SHP 86 156.4 20.3 4
9HJD9 CELEBRITY INFINITY SHP 35 16.0 45.9 19
9HSJ7 DISHA SHP 18 12.1 19.1 6
9M3466 UNKNOWN SHP 30 10.9 54.6 23
9V5076 PRACHI SHP 19 -165.2 34.8 3
9V5774 UNKNOWN SHP 21 -113.5 17.2 2
9V6221 MAERSK GAIRLOCH SHP 106 30.7 35.6 11
9V6814 MAERSK ATHABASCA SHP 17 -163.3 26.6 3
9V7524 EVER SUMMIT SHP 44 -33.3 29.8 2
9V7629 EVER MAST SHP 37 34.8 30.8 6
9V8705 UNKNOWN SHP 22 -84.2 0.7 0
9V9402 APL BARCELONA SHP 40 -34.8 41.5 13
9V9450 CAPE AZALEA SHP 88 131.2 41.0 281
A8AK7 UNKNOWN SHP 21 -125.4 38.3 10
A9LV SEAPEAK BAHRAIN SHP 22 -56.5 42.3 4
AHSBERV UNKNOWN SHP 30 -136.5 22.4 2
AMOHK02 UNKNOWN SHP 126 -66.4 51.1 57
AUBE DESH RAKSHAK SHP 70 63.5 48.9 29
AVBD DESH SURAKSHA SHP 31 -8.9 54.6 17
AWSHK01 ZIM CHARLESTON SHP 65 72.3 47.8 37
AWWB NANDA DEVI SHP 59 3.0 47.2 20
AWXA APJ ANGAD 2 SHP 27 18.0 46.7 10
BKIY EVER LUCID SHP 22 -30.4 38.1 4
C6FT7 NORWEGIAN DAWN SHP 19 24.4 50.0 12
C6VG7 NORWEGIAN PEARL SHP 211 6.0 49.1 94
C6WE9 UNKNOWN SHP 19 -138.9 14.4 2
D5NC3 DONINGTON SHP 31 34.4 33.7 3
D5ZH9 EVER FAST SHP 25 -17.2 48.1 10
EFUYFHB UNKNOWN SHP 26 -105.5 14.8 1
FFXYEPC UNKNOWN SHP 51 -176.2 2.9 2
GRWJJJB UNKNOWN SHP 31 100.4 0.2 2
H3JW UNKNOWN SHP 18 35.5 39.5 4
H8EW MSC ARMONIA SHP 14 -11.7 40.1 7
H9DU EVER FOCUS SHP 24 2.2 46.3 8
HC2083 CELEBRITY XPEDITION SHP 18 130.9 8.8 5
J8B3605 NAUTILUS SHP 44 -114.7 5.9 2
JDWV7LP UNKNOWN SHP 49 30.7 41.7 7
KAQP ATLANTIS (AWS) SHP 86 32.6 31.6 5
KRU MAERSK TENNESSEE SHP 28 -109.2 14.2 1
KZAMFKY UNKNOWN SHP 27 118.7 32.3 3
LAJK7 STAR KVARVEN SHP 21 102.2 12.6 2
LAMP5 STAR ISTIND SHP 22 154.7 3.8 2
MERFR22 UNKNOWN SHP 30 -35.8 44.0 8
ONKD MINERAL HOPE SHP 17 -3.0 38.6 7
OZJM2 MAERSK LIMA SHP 44 105.9 33.2 3
PZDMAJB UNKNOWN SHP 17 179.9 22.3 3
SMLQ UNKNOWN SHP 17 -15.0 30.6 7
UAST UNKNOWN SHP 20 -41.1 31.5 4
UCOR UNKNOWN SHP 27 130.1 37.7 5
UCUD UNKNOWN SHP 31 -153.6 0.7 2
UERK UNKNOWN SHP 21 -33.1 25.2 2
V7A5716 UNKNOWN SHP 34 -115.3 16.4 3
V7AK6 THE PROSPECTOR SHP 20 -31.7 41.1 5
V7HH2 STI GALLANTRY SHP 14 -7.0 42.5 6
V7SD8 STAR LOUISIANA SHP 98 -108.3 13.1 3
V7TM2 UNKNOWN SHP 24 37.1 17.2 1
VABC ALGOMA INTREPID SHP 34 30.3 40.3 6
VRBQ6 UNKNOWN SHP 19 49.9 40.0 5
VRBR8 SAGA DISCOVERY SHP 133 141.1 20.2 7
VRBX7 UNKNOWN SHP 29 4.4 43.8 14
VRDG3 MAERSK ANTWERP SHP 22 93.2 8.2 1
VRDU8 UNKNOWN SHP 28 -132.4 28.5 6
VRFU9 UNKNOWN SHP 21 -43.9 36.0 3
VRGO8 UNKNOWN SHP 18 -6.2 39.0 7
VRLF8 SAGA FORTUNE SHP 18 6.9 41.5 9
VRLK7 SAGA FRIGG SHP 24 -159.9 9.9 2
VRLL2 SAGA FJORD SHP 32 84.9 0.2 0
VRLN5 UNKNOWN SHP 28 179.8 28.7 6
VRLZ3 UNKNOWN SHP 73 31.8 37.3 8
VRNF7 SEASPAN ZAMBEZI SHP 56 53.3 37.3 6
VROV7 MOUNT ASO SHP 20 -34.8 37.0 2
VRPN8 UNKNOWN SHP 29 117.8 7.8 3
VRQK3 OTAGO BAY SHP 39 -150.9 49.4 19
VRTF2 UNKNOWN SHP 25 109.7 29.8 4
VRTN4 MADRID EXPRESS SHP 32 93.0 7.2 1
VRUR7 SAGA WIND SHP 27 24.3 47.5 12
VRUY5 ONE FRONTIER SHP 91 -32.5 35.6 9
VRVC9 ONE FOREVER SHP 37 149.8 33.2 25
VRVP2 SAGA TUCANO SHP 12 155.1 42.4 43
VRVP3 GUSTAV MAERSK SHP 42 32.9 23.7 3
VRVQ9 UNKNOWN SHP 15 -10.0 41.3 11
VRWC8 UNKNOWN SHP 42 -31.1 33.1 6
VRZK8 UNKNOWN SHP 65 15.1 48.7 37
VTHL CONCORD SHP 229 4.7 46.2 82
VTUQ SSL THAMIRABARANI SHP 17 -4.4 52.3 9
VTVW APJ INDRANI SHP 31 145.6 43.7 12
VYA2010 SAGINAW SHP 20 -169.2 13.3 3
WCV7620 G. L. OSTRANDER SHP 43 -41.7 35.9 7
WDB9821 JOYCE L. VANENKEVORT SHP 22 -36.4 33.9 2
WDE4433 PELICAN STATE SHP 21 161.6 0.0 2
WDE7804 KESTREL SHP 420 -78.3 51.2 247
WDH7560 PRESQUE ISLE SHP 41 48.9 47.9 9
WDK8035 STEADFAST SHP 508 -11.2 49.0 227
WTED NOAA BELL M. SHIMADA (AWS SHP 67 -5.6 46.6 56
WTEG NOAA REUBEN LASKER (AWS) SHP 200 42.2 34.2 106
WTEP NOAA OSCAR DYSON (AWS) SHP 70 -1.5 47.5 32
WXY6216 JOSEPH L. BLOCK SHP 439 -7.4 39.9 214
WYM9567 AURORA SHP 709 -1.6 45.5 247
WZ3423 TIGLAX SHP 18 -55.7 36.1 8
WZE4270 LECONTE SHP 67 9.6 49.8 30
XJL6M6W UNKNOWN SHP 37 94.4 12.5 1
XYKWGQR UNKNOWN SHP 22 10.9 46.2 17
YDDP2 UNKNOWN SHP 23 -140.6 20.6 5
YEADUPA UNKNOWN SHP 23 34.8 36.7 4
ZGOJ7 UNKNOWN SHP 344 12.2 40.9 124
ANMN6 UNKNOWN CMN 1926 86.6 55.9 1014
BLTA2 UNKNOWN CMN 151 -32.6 31.7 9
CPXC1 UNKNOWN CMN 4262 99.1 49.4 4116
DRSD1 UNKNOWN CMN 2033 -12.2 40.1 932
ELXC1 UNKNOWN CMN 1600 4.7 53.4 983
EROA2 UNKNOWN CMN 629 -35.2 44.7 92
ERXA2 UNKNOWN CMN 3805 -32.1 43.2 592
FHPF1 UNKNOWN CMN 6363 -34.4 27.8 287
FILA2 UNKNOWN CMN 987 -6.6 41.5 498
GDXM6 UNKNOWN CMN 2549 -45.0 38.5 423
GUXA2 UNKNOWN CMN 3378 -32.8 40.7 1024
HAXA2 UNKNOWN CMN 2709 -19.6 51.3 1691
HMRA2 UNKNOWN CMN 2388 59.5 48.7 568
ILOH1 UNKNOWN CMN 4226 100.1 49.7 3057
JCRN4 UNKNOWN CMN 2369 -68.4 34.7 599
JLXA2 UNKNOWN CMN 3239 -65.4 48.8 1142
KEXA2 UNKNOWN CMN 3290 -1.1 44.3 1097
LIXA2 UNKNOWN CMN 3077 -6.7 41.2 1311
LJPC1 UNKNOWN CMN 530 65.5 45.2 178
MCYI3 UNKNOWN CMN 3966 -36.1 35.8 481
MDRM1 UNKNOWN CMN 711 -31.6 25.3 30
MLSC1 UNKNOWN CMN 3987 -0.5 49.6 1946
MRNA2 UNKNOWN CMN 3303 -15.1 43.5 1122
MRYA2 UNKNOWN CMN 3834 41.5 42.4 590
MVXA2 UNKNOWN CMN 3267 13.1 48.0 1129
MXXA2 UNKNOWN CMN 3472 -62.4 42.5 911
NAXR1 UNKNOWN CMN 2237 79.1 37.9 731
NPDW3 UNKNOWN CMN 1265 -53.7 29.3 160
OMHC1 UNKNOWN CMN 4735 2.7 46.4 2545
OTNM4 UNKNOWN CMN 3938 36.1 37.6 525
OWXO1 UNKNOWN CMN 605 1.6 45.6 265
PBFW1 UNKNOWN CMN 1916 14.5 45.4 912
PBPA2 UNKNOWN CMN 499 54.8 44.6 220
PCNT2 UNKNOWN CMN 6952 -44.2 24.8 328
PGBP7 UNKNOWN CMN 6323 41.8 45.6 1048
PGXA2 UNKNOWN CMN 3518 -62.2 45.6 865
PILA2 UNKNOWN CMN 798 -18.9 45.6 689
PRTA2 UNKNOWN CMN 524 -1.3 41.2 192
PTLA2 UNKNOWN CMN 3232 -62.9 44.6 1192
SCXA2 UNKNOWN CMN 3772 -40.9 38.4 616
SDIA2 UNKNOWN CMN 1583 -2.3 47.8 592
SDRT2 UNKNOWN CMN 6579 -31.1 32.6 724
SHXA2 UNKNOWN CMN 3026 50.8 39.2 650
SISW1 UNKNOWN CMN 3038 15.5 47.1 1423
SKXA2 UNKNOWN CMN 2813 -25.1 43.1 1575
SLVM5 UNKNOWN CMN 3283 -5.3 45.0 1413
STXA2 UNKNOWN CMN 3216 -65.9 48.0 904
TIBC1 UNKNOWN CMN 126 163.4 46.3 172
TKEA2 UNKNOWN CMN 2788 -1.7 50.3 1598
TPLM2 UNKNOWN CMN 626 -31.6 33.5 118
WAXM3 UNKNOWN CMN 458 -89.1 36.5 246
WEXM1 UNKNOWN CMN 2328 -46.3 40.7 634
WNEM4 UNKNOWN CMN 6702 -35.3 35.0 556
WPOW1 UNKNOWN CMN 550 3.0 49.7 194
YRSV2 UNKNOWN CMN 1783 -11.9 49.4 1181
AAMC1 UNKNOWN TG 984 10.7 44.3 499
ANPT2 UNKNOWN TG 1409 -45.4 22.5 70
ANTA2 UNKNOWN TG 1018 -70.5 51.4 383
ANVC1 UNKNOWN TG 995 -6.1 50.8 490
APAM2 UNKNOWN TG 24 -52.6 17.7 6
APCF1 UNKNOWN TG 1332 -31.3 38.3 154
BFTN7 UNKNOWN TG 21 22.6 33.2 9
BLTM2 UNKNOWN TG 25 -33.9 38.3 3
BMTW1 UNKNOWN TG 508 -115.6 49.3 978
BUFN6 UNKNOWN TG 1386 -36.1 33.8 96
CAMM2 UNKNOWN TG 21 -176.1 13.6 9
CECC1 UNKNOWN TG 1045 -75.7 51.7 441
CHAO3 UNKNOWN TG 1111 -59.7 49.2 374
CHTS1 UNKNOWN TG 29 -92.5 6.2 0
CMTI2 UNKNOWN TG 1352 -32.9 32.4 134
COVM2 UNKNOWN TG 20 -9.9 17.5 10
CPTR1 UNKNOWN TG 22 -41.8 18.9 8
CRVA2 UNKNOWN TG 923 -75.7 49.0 504
DOMV2 UNKNOWN TG 25 47.1 39.5 5
EMAT2 UNKNOWN TG 1405 -33.1 28.7 82
FRWL1 UNKNOWN TG 1378 -30.8 27.9 106
FSKM2 UNKNOWN TG 25 -133.7 15.9 5
FTPC1 UNKNOWN TG 1259 -53.9 42.5 224
GBWW3 UNKNOWN TG 880 150.6 39.3 606
HCGN7 UNKNOWN TG 23 -159.7 3.2 7
HLNM4 UNKNOWN TG 1342 -37.4 34.9 138
ILOH1 UNKNOWN TG 854 99.7 48.8 628
IRDT2 UNKNOWN TG 1075 -16.1 31.2 394
JNEA2 UNKNOWN TG 1078 -12.9 48.7 406
KECA2 UNKNOWN TG 1112 -11.1 42.1 372
KWHH1 UNKNOWN TG 760 -165.2 47.5 423
LJAC1 UNKNOWN TG 1153 61.5 44.9 333
LNDC1 UNKNOWN TG 908 4.2 50.0 576
LWSD1 UNKNOWN TG 25 167.4 32.4 5
MBET2 UNKNOWN TG 1431 30.4 25.6 53
MGIP4 UNKNOWN TG 1272 -38.1 35.5 85
MGPT2 UNKNOWN TG 1392 -37.9 30.6 93
MHRN6 UNKNOWN TG 26 -42.4 25.7 4
MROS1 UNKNOWN TG 21 -23.1 12.4 9
MZXC1 UNKNOWN TG 1315 43.2 38.8 156
NBGM3 UNKNOWN TG 20 7.5 42.2 9
NCDV2 UNKNOWN TG 19 138.8 23.1 10
NKTA2 UNKNOWN TG 76 -3.4 47.5 53
NTBC1 UNKNOWN TG 913 -84.5 52.8 572
NWPR1 UNKNOWN TG 23 -118.9 9.7 7
OBGN6 UNKNOWN TG 1306 32.0 35.2 179
OKXC1 UNKNOWN TG 726 17.7 46.1 412
OMHC1 UNKNOWN TG 961 3.2 47.5 525
ORIN7 UNKNOWN TG 30 94.0 1.0 0
PCNT2 UNKNOWN TG 1363 -44.7 24.5 65
PDVR1 UNKNOWN TG 17 -37.3 24.3 7
PGBP7 UNKNOWN TG 1290 40.6 43.4 197
PILL1 UNKNOWN TG 1402 33.0 26.8 84
PLXA2 UNKNOWN TG 949 -10.3 50.3 537
PORO3 UNKNOWN TG 952 -80.9 51.1 533
PPTM2 UNKNOWN TG 22 35.6 25.7 8
PRHH1 UNKNOWN TG 1186 -49.4 22.7 299
PSBC1 UNKNOWN TG 1165 64.6 35.8 231
PSLC1 UNKNOWN TG 872 93.0 48.0 613
PTAW1 UNKNOWN TG 860 10.8 46.7 379
PTCR1 UNKNOWN TG 23 -128.2 3.4 6
PTIM4 UNKNOWN TG 1349 -39.1 35.4 134
PXOC1 UNKNOWN TG 973 2.2 47.5 511
QPTR1 UNKNOWN TG 22 0.2 10.5 8
RCKM4 UNKNOWN TG 1319 -39.4 34.5 167
RTYC1 UNKNOWN TG 748 154.1 50.9 737
SDRT2 UNKNOWN TG 1332 -32.4 31.4 143
SLIM2 UNKNOWN TG 19 135.2 37.6 11
TKPN6 UNKNOWN TG 25 -53.5 48.2 5
TPAF1 UNKNOWN TG 976 -39.5 31.3 111
TRDF1 UNKNOWN TG 21 -137.6 29.9 8
VAKF1 UNKNOWN TG 26 41.6 33.8 1
WAHV2 UNKNOWN TG 28 37.9 38.2 2
WDSV2 UNKNOWN TG 25 -104.6 3.6 5
WNEM4 UNKNOWN TG 1368 -34.9 35.2 115
YKTV2 UNKNOWN TG 19 -14.3 22.7 11
42022 FB 404 -118.0 6.2 24
44489 FB 691 33.1 29.8 52
45144 FB 4 93.3 5.1 39
45164 FB 664 38.8 36.2 62
45165 FB 3316 -31.5 41.5 805
45168 FB 660 83.7 4.5 0
45174 FB 3981 -49.4 23.2 167
45198 FB 2956 68.7 35.7 461
45206 FB 2012 48.4 37.4 335
45207 FB 1784 55.2 36.8 255
45218 FB 1819 -34.1 36.0 151
46022 FB 3184 3.3 45.9 1276
46027 FB 2779 -5.3 50.0 1681
46060 FB 537 7.5 47.8 207
46066 FB 662 -82.8 3.6 0
46076 FB 3100 7.5 35.5 1360
46087 FB 3823 -49.1 44.8 638
46088 FB 3057 -0.8 53.9 1399
46092 FB 459 -6.7 52.5 238
46121 FB 2351 15.9 47.5 823
46123 FB 28 53.8 32.7 1
46131 FB 594 -59.3 42.9 148
46146 FB 500 -76.3 52.2 242
46304 FB 495 -71.9 46.5 171
51003 FB 4398 96.5 7.0 3
62113 FB 37 170.8 41.4 90
62127 FB 597 94.4 6.9 1
63118 FB 563 -103.2 11.5 4
13009 DB 251 -64.5 40.1 57
23003 DB 149 -139.7 38.8 168
23452 DB 34 53.2 32.8 4
23454 DB 126 80.5 47.2 63
23492 DB 36 -95.2 47.2 23
23497 DB 31 -168.2 47.9 27
51302 DB 110 175.3 24.2 150
OCTOBER 2024
WIND SPEED FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
3E5835 VST LYRA SHP 20 5.2 2.9 0
7JZX UNKNOWN SHP 22 6.4 3.9 2
9V9402 APL BARCELONA SHP 53 5.2 4.4 0
AMOHK02 UNKNOWN SHP 0 0.0 0.0 183
AWSHK01 ZIM CHARLESTON SHP 0 0.0 0.0 102
C6ZJ4 NORWEGIAN GETAWAY SHP 32 5.1 3.3 1
VRBX7 UNKNOWN SHP 24 -0.7 3.1 19
VRVP2 SAGA TUCANO SHP 54 6.1 5.1 1
VTUQ SSL THAMIRABARANI SHP 13 12.4 2.9 13
VTVW APJ INDRANI SHP 43 7.6 1.7 0
EROA2 UNKNOWN CMN 721 5.4 3.3 0
ERXA2 UNKNOWN CMN 4397 5.9 3.4 0
NTKM3 UNKNOWN TG 30 -5.1 1.9 0
OOUH1 UNKNOWN TG 1484 -5.1 2.1 0
PLXA2 UNKNOWN TG 1423 -5.4 3.4 63
WAHV2 UNKNOWN TG 30 -6.4 2.7 0
45141 FB 21 -5.4 1.2 0
45144 FB 43 -7.1 3.2 0
OCTOBER 2024
SEA SURFACE TEMP. FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
2KZJ7DD UNKNOWN SHP 46 5.0 4.3 11
32ST0 UNKNOWN SHP 607 -10.6 0.6 0
3FZI8 MSC SPLENDIDA SHP 37 4.6 2.7 0
6WUF62U UNKNOWN SHP 29 4.7 4.1 0
9HA4902 MSC BELLISSIMA SHP 152 -5.4 2.7 0
9V3912 KN AMETHYST SHP 281 5.1 1.5 0
9VFV5 MAERSK ALGOL SHP 54 4.0 1.1 0
A8AK7 UNKNOWN SHP 29 5.1 0.7 0
H3JW UNKNOWN SHP 22 4.1 0.6 0
HOPW MSC LIRICA SHP 93 -5.7 3.0 1
KAQP ATLANTIS (AWS) SHP 441 -2.9 6.0 5
MERFR22 UNKNOWN SHP 38 4.5 2.5 0
OYGM2 GERD MAERSK SHP 28 4.3 1.2 0
V7A4787 MARLIN HERA SHP 705 6.5 3.7 10
V7AK6 THE PROSPECTOR SHP 20 9.5 3.7 1
VHS4CYW UNKNOWN SHP 36 -5.2 1.8 0
VMIC UNKNOWN SHP 399 5.4 4.5 117
VROV7 MOUNT ASO SHP 17 -3.7 6.1 5
VRVP2 SAGA TUCANO SHP 37 -4.8 3.1 0
VRZK8 UNKNOWN SHP 35 6.0 3.0 0
WTEG NOAA REUBEN LASKER (AWS) SHP 252 -6.1 4.2 54
WTEP NOAA OSCAR DYSON (AWS) SHP 107 4.7 4.3 0
WUR8857 LEE A. TREGURTHA (AWS) SHP 21 2.2 6.2 0
YBP552U UNKNOWN SHP 23 4.2 1.6 0
ELFA2 UNKNOWN CMN 7266 5.4 2.0 0
MLSC1 UNKNOWN CMN 5787 -5.0 5.4 900
RLOT2 UNKNOWN CMN 7265 5.9 3.1 0
WNEM4 UNKNOWN CMN 7224 4.9 4.9 0
ALXN6 UNKNOWN TG 1430 7.0 6.1 55
APAM2 UNKNOWN TG 1487 4.6 6.3 0
BKTL1 UNKNOWN TG 1406 6.4 6.2 80
BLTM2 UNKNOWN TG 1401 5.0 6.5 79
BUFN6 UNKNOWN TG 1482 4.6 5.2 0
CHCM2 UNKNOWN TG 1486 4.2 6.7 0
CRVA2 UNKNOWN TG 1426 6.9 3.0 0
DULM5 UNKNOWN TG 1423 4.7 5.7 60
ELFA2 UNKNOWN TG 1485 5.4 1.9 0
GDMM5 UNKNOWN TG 1483 5.1 4.1 0
HIST2 UNKNOWN TG 1483 5.2 3.4 0
ITKA2 UNKNOWN TG 1486 6.2 1.9 0
LCLL1 UNKNOWN TG 687 3.5 7.0 12
LJAC1 UNKNOWN TG 1325 -2.3 6.1 161
LOPW1 UNKNOWN TG 1486 5.7 4.6 0
LTRM4 UNKNOWN TG 1482 4.8 4.3 0
NCDV2 UNKNOWN TG 1486 4.1 5.6 0
NCHT2 UNKNOWN TG 1466 4.5 6.3 13
NKTA2 UNKNOWN TG 116 6.0 3.5 3
NMTA2 UNKNOWN TG 1484 4.5 2.0 0
OBGN6 UNKNOWN TG 1473 6.5 6.2 12
PEGF1 UNKNOWN TG 1257 4.2 2.2 0
RDDA2 UNKNOWN TG 1419 5.0 3.9 0
RLOT2 UNKNOWN TG 1481 5.9 2.9 0
SDBC1 UNKNOWN TG 1484 -1.3 6.4 1
SKTA2 UNKNOWN TG 1305 9.1 2.5 180
SWLA2 UNKNOWN TG 1069 11.1 1.8 418
SWPM4 UNKNOWN TG 1482 5.0 4.1 0
TCBM2 UNKNOWN TG 428 5.2 5.9 30
TKPN6 UNKNOWN TG 1439 5.8 6.1 48
TRDF1 UNKNOWN TG 1483 4.4 2.5 0
VDZA2 UNKNOWN TG 1280 9.6 2.5 205
WNEM4 UNKNOWN TG 1483 4.9 4.9 0
YATA2 UNKNOWN TG 1486 6.4 2.1 0
44043 FB 5633 4.0 6.8 0
45013 FB 425 4.4 3.7 0
45027 FB 4388 1.4 6.1 0
45139 FB 742 4.3 6.0 0
45141 FB 21 -4.4 0.7 0
45142 FB 722 5.5 5.5 0
45148 FB 405 6.0 4.7 24
45151 FB 738 5.4 5.6 0
45152 FB 742 5.6 6.0 0
45159 FB 731 3.3 6.3 9
45178 FB 557 6.1 4.2 0
45200 FB 3206 3.0 6.2 0
45201 FB 3638 1.8 7.6 192
45209 FB 2476 4.6 5.9 0
45215 FB 1478 4.7 4.5 0
46087 FB 185 4.5 1.0 0
46181 FB 647 6.9 1.9 0
46224 FB 1419 -2.3 6.1 60
46256 FB 1429 -5.0 2.4 0
46266 FB 1326 -1.7 6.6 149
46273 FB 1353 -1.9 6.1 117
46274 FB 1283 -1.5 6.7 195
46275 FB 1348 -2.8 6.0 135
TOTAL NUMBER OF OBSERVATIONS FOR OCTOBER 2024 (EXCLUDING DUPLICATES
AND THOSE FROM CALLSIGN 'SHIP') WAS 2125292. TOTAL NUMBER OF
OBSERVATIONS FROM CALLSIGN 'SHIP' (EXCLUDING DUPLICATES) WAS 48.
TOTAL NUMBER OF IDS WAS 2562.
