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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
MAY 2025
SEA-LEVEL PRESSURE FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
3E2429 EVER ACT SHP 35 -4.6 3.1 0
3E3566 UNKNOWN SHP 63 5.5 2.0 0
3E5049 CRISTOBAL SHP 26 10.5 2.1 0
3EBY2 UNKNOWN SHP 18 12.7 2.0 30
3EFK6 MSC MUSICA SHP 37 -4.4 3.9 0
3FIL MAERSK ENSHI SHP 54 4.4 2.2 0
3FON6 UNKNOWN SHP 25 4.2 0.8 0
3FWH8 EVER LOTUS SHP 57 5.6 4.3 0
3FZI8 MSC SPLENDIDA SHP 56 4.5 1.9 0
7KKU UNKNOWN SHP 53 -4.3 1.1 0
9609639 UNKNOWN SHP 20 7.2 5.3 1
9HA3062 MEIN SCHIFF 3 SHP 20 -4.2 2.8 0
9HA4330 MEIN SCHIFF 6 SHP 61 -4.8 1.4 0
9HA4638 MSC SEASIDE SHP 33 10.2 3.4 7
9HA4767 CMA CGM JEAN GABRIEL SHP 29 5.0 1.2 0
9HA4902 MSC BELLISSIMA SHP 86 7.6 4.6 10
9HA5209 MSC VIRTUOSA SHP 213 9.8 2.3 9
9HA5370 MSC SEASHORE SHP 40 6.7 3.0 0
9HA5682 MSC WORLD EUROPA SHP 656 -4.7 2.7 0
9HA5823 EXPLORA 1 SHP 187 8.5 1.5 0
9HA5976 EXPLORA II SHP 80 6.8 2.5 0
9HJB9 CELEBRITY CONSTELLATION SHP 51 4.1 1.1 1
9HSJ7 DISHA SHP 78 7.4 1.7 1
9V5243 MAERSK SEVILLE SHP 39 7.1 2.7 1
9V5247 MAERSK SOPHIA SHP 62 4.0 1.3 0
9V6256 EVER SUPERB SHP 50 -4.1 0.6 0
9V7629 EVER MAST SHP 68 7.1 1.6 0
9V7648 EVER MODE SHP 22 4.2 0.9 0
9V7659 EVER MACRO SHP 87 5.7 1.9 0
9V9148 UNKNOWN SHP 34 5.2 1.9 0
9V9408 MAERSK CAMEROUN SHP 22 7.5 0.8 0
9VFV4 MAERSK TAURUS SHP 42 7.1 3.0 0
ALGOM12 ALGOMA EQUINOX SHP 25 -1.1 5.4 11
ATAT2 APJ JAOUAD SHP 0 0.0 0.0 53
AUBT JAG PANKHI SHP 0 0.0 0.0 40
AUTP DESH VISHAL SHP 22 6.2 3.1 6
AVBC DESH GARIMA SHP 17 4.1 1.4 12
AVWF DESH SHOBHA SHP 49 6.6 5.2 5
BKIE EVER LIVEN SHP 30 8.1 1.4 0
C6ED5 CARIBBEAN VOYAGER SHP 50 5.1 2.3 1
C6FB3 NORWEGIAN PRIMA SHP 39 -6.7 1.4 0
D5AD8 TIRUA SHP 66 11.8 2.5 19
DUUFU3N UNKNOWN SHP 125 -4.7 1.5 0
JMVS UNKNOWN SHP 33 4.0 2.8 0
JPTX UNKNOWN SHP 34 6.3 1.0 0
KUL7SEK UNKNOWN SHP 61 4.5 1.0 0
LAQL7 STAR LOFOTEN SHP 34 6.6 0.8 1
LAVN4 STAR HIDRA SHP 59 4.7 2.3 0
OBAA BAP UNION SHP 33 -6.6 1.7 0
ONLW MINERAL ITALIA SHP 63 6.9 1.9 0
OXSQ2 MAERSK ESSEX SHP 63 10.0 2.6 1
OZIB2 MAERSK LONDRINA SHP 20 5.3 0.5 0
S6AN5 MAERSK COLOMBO SHP 55 5.4 1.9 0
UAEV UNKNOWN SHP 28 1.0 6.5 2
V7A6073 STI MIRACLE SHP 653 4.9 1.8 1
V7A6081 STI MYSTERY SHP 196 4.8 1.4 0
V7DI9 STI SLOANE SHP 25 5.3 2.0 0
V7QT7 UNKNOWN SHP 65 4.7 1.5 0
V7WS6 FEDERAL SWIFT SHP 18 5.1 1.3 2
VRLA6 MINERAL CLOUDBREAK SHP 73 9.9 1.1 0
VRLJ2 UNKNOWN SHP 20 -5.2 3.5 0
VROB9 SEASPAN BEACON SHP 25 6.3 1.4 0
VROC3 YM WISH SHP 399 6.0 1.6 1
VROO6 YM WORTH SHP 41 4.2 3.5 0
VRQS3 UNKNOWN SHP 39 7.7 2.2 0
VRQS4 OLYMPIA LOGGER SHP 23 4.5 1.2 0
VRSJ8 UNKNOWN SHP 22 -8.1 0.9 0
VRUN6 ONE PARANA SHP 46 10.4 2.9 1
VRVO5 GUNHILDE MAERSK SHP 49 4.9 2.8 0
WCAJ POLAR ENDEAVOUR SHP 26 -4.0 4.5 1
WDC8307 SAMUEL DE CHAMPLAIN SHP 42 0.3 6.2 3
WXN3191 INDIANA HARBOR SHP 17 0.4 2.4 6
ZBZA5GS UNKNOWN SHP 28 -5.5 0.7 0
ZGFY4 CAJUN SUN SHP 60 -8.9 1.1 0
45014 FB 0 0.0 0.0 1488
45161 FB 652 9.3 0.7 0
MAY 2025
AIR TEMPERATURE FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
3E3535 ELEGANT ACE SHP 20 4.7 2.5 0
3FAR9 UNKNOWN SHP 25 5.3 2.3 0
3FON6 UNKNOWN SHP 25 5.3 1.9 0
9HA5021 CMA CGM WHITE SHARK SHP 109 4.5 3.9 2
9HYO7 RAAHI SHP 25 4.5 3.3 0
9V6972 HYPERION SHP 21 4.6 2.6 0
ALBARO ALBARO SHP 20 5.3 1.4 0
AUBT JAG PANKHI SHP 40 4.0 3.0 0
BKIE EVER LIVEN SHP 30 4.9 2.6 0
OUQK2 CLEMENTINE MAERSK SHP 23 7.5 2.5 0
V7WS6 FEDERAL SWIFT SHP 20 4.5 2.8 0
VRBQ6 UNKNOWN SHP 60 4.1 2.7 0
VRFU8 UNKNOWN SHP 37 4.4 2.7 0
VRJS2 UNKNOWN SHP 21 4.3 2.0 0
VRLQ3 UNKNOWN SHP 20 4.9 2.1 0
VRPN7 KANDA LOGGER SHP 21 4.6 2.8 0
VRZK8 UNKNOWN SHP 20 5.6 2.6 0
WTEG NOAA REUBEN LASKER SHP 1137 9.5 2.9 117
YDDP2 UNKNOWN SHP 27 4.3 2.1 0
KYWF1 UNKNOWN TG 24 4.7 1.2 0
PRDA2 UNKNOWN TG 1471 4.1 4.4 12
WYCM6 UNKNOWN TG 607 4.6 1.6 0
44078 FB 0 0.0 0.0 984
45006 FB 2638 -4.2 3.0 0
45027 FB 2349 -4.6 3.9 30
45028 FB 779 -5.2 3.9 30
45136 FB 127 -7.0 2.5 0
45199 FB 1488 -4.3 2.4 0
46206 FB 460 12.6 2.0 232
MAY 2025
WIND DIRECTION FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
3E4612 UNKNOWN SHP 35 87.2 0.1 0
3E5049 CRISTOBAL SHP 22 47.1 31.4 4
3EBY2 UNKNOWN SHP 45 157.8 22.3 3
3EFK6 MSC MUSICA SHP 28 -148.2 27.9 5
3EJF3 MSC ORCHESTRA SHP 22 -94.0 4.2 0
3FLT5 UNKNOWN SHP 19 -3.9 35.1 9
3FZI8 MSC SPLENDIDA SHP 23 -123.4 52.3 33
3FZO8 CARNIVAL BREEZE SHP 23 -103.7 13.6 1
3HPZXMS UNKNOWN SHP 61 96.8 11.9 1
3URK8QU UNKNOWN SHP 72 -51.7 46.9 17
3WUT68S UNKNOWN SHP 35 96.8 13.7 1
3XCGEYH UNKNOWN SHP 57 -164.4 16.9 3
5EXMSZP UNKNOWN SHP 43 96.8 7.7 1
7JYN UNKNOWN SHP 29 37.2 40.2 3
7KBD UNKNOWN SHP 84 91.9 5.8 0
7KGP UNKNOWN SHP 26 129.2 18.8 2
7KIY UNKNOWN SHP 28 -161.3 3.7 2
7KPB UNKNOWN SHP 53 -117.8 16.6 5
7KPW UNKNOWN SHP 44 7.7 39.3 20
7MNHGYB UNKNOWN SHP 23 42.1 37.0 4
7WFBSAS UNKNOWN SHP 20 -147.7 39.9 3
8JC9EXU UNKNOWN SHP 35 35.9 32.4 3
9609639 UNKNOWN SHP 20 97.4 13.5 1
9HA2006 ASEEM SHP 32 1.9 40.2 11
9HA3858 MEIN SCHIFF 5 SHP 27 33.1 37.5 6
9HA4876 COTINGA SHP 21 -124.8 7.6 2
9HA5370 MSC SEASHORE SHP 39 -111.8 16.8 1
9HA5823 EXPLORA 1 SHP 138 -0.3 47.1 49
9HJB9 CELEBRITY CONSTELLATION SHP 44 -55.3 38.6 8
9HYO7 RAAHI SHP 18 -19.6 42.8 7
9SCUKEL UNKNOWN SHP 24 30.9 32.3 3
9V2024 CRYSTAL SUNRISE SHP 57 155.9 18.9 2
9V2734 SHAAMIT SHP 113 -102.2 6.7 2
9V2792 EVER SAFETY SHP 33 34.5 21.6 2
9V6171 MAERSK MEMPHIS SHP 31 -34.1 34.1 5
9V6458 MAERSK YUKON SHP 18 149.0 9.4 3
9V6970 HARZAND SHP 30 161.8 16.4 3
9V9288 EVER LAWFUL SHP 36 35.4 33.9 7
A8OR8 YM UNIFORM SHP 21 32.1 26.1 1
A8SI6 ANTWERP SHP 20 -43.1 33.9 3
ALGOM01 ALGOMA GUARDIAN SHP 18 38.5 32.2 2
AMOHK02 UNKNOWN SHP 90 -166.8 44.8 155
ATAT2 APJ JAOUAD SHP 20 -126.8 33.1 33
AUBT JAG PANKHI SHP 20 103.0 48.3 20
AUTP DESH VISHAL SHP 18 148.3 49.8 6
AUTV DESH VIRAAT SHP 25 76.1 49.3 8
C6DL4 NORWEGIAN BLISS SHP 168 -35.3 41.2 21
C6EF4 NORWEGIAN ENCORE SHP 103 -5.9 50.1 59
C6EI4 ARTEMIS VOYAGER SHP 22 126.6 30.9 6
C6EO4 CARINA VOYAGER SHP 27 -35.3 32.5 7
C6TX6 NORWEGIAN JEWEL SHP 76 83.9 1.5 0
CFJ8305 ALGOMA STRONGFIELD (AWS) SHP 1972 -52.6 45.2 357
CFN6357 BAIE COMEAU SHP 19 -40.7 42.0 4
CTT33GW UNKNOWN SHP 33 -97.9 10.9 2
D7EV UNKNOWN SHP 5 -138.3 6.5 19
DBHNUYD UNKNOWN SHP 114 -165.2 25.0 8
DLXT34Y UNKNOWN SHP 47 30.6 28.5 6
DYBJBBS UNKNOWN SHP 69 31.2 36.4 6
ERDNLZH UNKNOWN SHP 42 -3.0 31.7 15
FBLSEKE UNKNOWN SHP 44 176.8 22.4 3
FYTT4LF UNKNOWN SHP 57 -35.6 39.5 5
H3FV MSC OPERA SHP 414 11.9 51.5 150
H8EW MSC ARMONIA SHP 80 -34.4 36.5 17
HOPW MSC LIRICA SHP 189 1.5 50.3 84
JMVS UNKNOWN SHP 31 103.1 2.4 2
KAO107 R/V KIYI SHP 36 -32.8 32.6 3
KAOU ROGER REVELLE (AWS) SHP 397 87.2 49.4 305
KBAG BADGER SHP 23 31.3 34.2 3
KGWS GREEN WAVE SHP 38 -145.1 3.0 3
KNBQKAQ UNKNOWN SHP 24 -32.5 25.6 2
KVMU TS KENNEDY SHP 25 1.6 42.7 9
KWRFXTU UNKNOWN SHP 34 163.4 19.7 2
LANT5 STAR ISMENE SHP 38 122.9 7.4 3
LAVN4 STAR HIDRA SHP 55 42.5 25.9 4
LBYJ7GD UNKNOWN SHP 19 135.8 37.6 2
LJBL58D UNKNOWN SHP 495 -64.2 49.1 166
MMZT85X UNKNOWN SHP 39 -9.1 40.4 16
MWAQ UNKNOWN SHP 27 -10.3 41.7 10
N261 UNKNOWN SHP 610 54.6 46.8 134
NAXMCDF UNKNOWN SHP 25 1.5 29.1 11
NEPP USCGC HEALY SHP 15 173.2 32.8 8
ONLW MINERAL ITALIA SHP 60 32.9 34.7 3
OXSQ2 MAERSK ESSEX SHP 60 31.0 31.7 4
PWMWGPP UNKNOWN SHP 54 -141.9 0.2 2
QJLVJFW UNKNOWN SHP 25 14.3 40.3 19
RULLM7N UNKNOWN SHP 37 -39.4 33.2 5
RYPU8UL UNKNOWN SHP 82 36.5 21.8 1
S6AN5 MAERSK COLOMBO SHP 30 -21.7 28.8 25
TEPWR4U UNKNOWN SHP 8 -28.3 40.3 25
UBRI5 UNKNOWN SHP 17 -45.3 41.2 3
UCFT UNKNOWN SHP 20 149.8 4.4 2
UCLD UNKNOWN SHP 30 -136.3 21.9 3
V7DI9 STI SLOANE SHP 25 92.1 4.0 0
V7HH2 STI GALLANTRY SHP 20 77.9 54.2 10
V7TM6 UNKNOWN SHP 23 31.4 27.8 4
V7TO3 UNKNOWN SHP 29 -42.5 16.9 0
V7WS4 FEDERAL SABLE SHP 30 97.7 16.3 1
VDBY ALGOMA COMPASS (AWS) SHP 786 -33.2 37.7 56
VRBL4 SAGA ADVENTURE SHP 23 -140.6 46.2 6
VRCB4 UNKNOWN SHP 23 3.4 33.1 9
VRCU7 UNKNOWN SHP 27 100.8 12.2 1
VRDW2 UNKNOWN SHP 73 -49.0 40.9 12
VREM6 UNKNOWN SHP 61 -55.8 47.7 15
VRFJ6 UNKNOWN SHP 36 -145.0 2.9 2
VRLK2 JIANGMEN TRADER SHP 18 131.7 19.7 3
VRMX7 UNKNOWN SHP 40 115.8 1.0 2
VROH8 YM WELLHEAD SHP 20 118.5 28.7 2
VRQS4 OLYMPIA LOGGER SHP 10 110.7 37.8 13
VRQZ7 ORIENTAL KING SHP 30 -31.6 26.9 0
VRRP7 CMA CGM MUNDRA SHP 18 113.0 14.1 2
VRTF2 UNKNOWN SHP 13 96.1 39.1 18
VRVC6 UNKNOWN SHP 41 -139.1 3.3 2
VRVE5 ONE FUTURE SHP 19 140.3 11.1 2
VRWK9 UNKNOWN SHP 31 133.7 17.6 4
VRWN4 UNKNOWN SHP 45 35.0 29.6 4
VRWR7 SAGA CREST SHP 17 -146.3 50.6 13
VRZK8 UNKNOWN SHP 19 92.7 8.1 1
WDB9821 JOYCE L. VANENKEVORT SHP 32 -45.4 44.5 6
WDC6027 BURNS HARBOR SHP 50 -32.2 35.1 8
WDC6055 STEWART J. CORT SHP 38 41.6 34.2 7
WDC8307 SAMUEL DE CHAMPLAIN SHP 33 -12.0 44.1 11
WDD2992 DAVID B SHP 636 -8.0 46.9 232
WDE6486 MEDEIA SHP 632 -46.0 44.1 121
WDF7019 OLIVE L. MOORE SHP 23 -31.0 21.8 2
WDH7557 JOHN G. MUNSON SHP 44 35.4 38.3 6
WDH7560 PRESQUE ISLE SHP 166 -35.4 36.6 22
WDK8035 STEADFAST SHP 468 -41.3 38.1 60
WHQBY4B UNKNOWN SHP 98 87.0 6.0 0
WLZ9WHS UNKNOWN SHP 14 -30.1 43.5 14
WTEA NOAA THOMAS JEFFERSON SHP 827 -35.0 31.7 75
WXN3191 INDIANA HARBOR SHP 14 -1.9 36.6 10
WXU3434 WALTER J. MCCARTHY JR. SHP 20 -2.5 42.7 8
WYM9567 AURORA SHP 1223 -11.4 49.7 557
WYR4481 PAUL R. TREGURTHA SHP 24 3.2 39.6 10
WZD2465 H. LEE WHITE SHP 110 -50.2 41.4 18
XJBK ALGOMA HARVESTER (AWS) SHP 2105 -45.4 42.5 341
XYKWGQR UNKNOWN SHP 17 -76.6 51.6 4
YCAAYCC UNKNOWN SHP 15 136.7 36.7 12
YDDP2 UNKNOWN SHP 23 35.7 31.5 4
YRZSQRB UNKNOWN SHP 37 -44.6 38.6 4
ZCPC7MW UNKNOWN SHP 40 -100.5 13.1 2
ZGFL8 UNKNOWN SHP 38 127.4 7.2 2
ACXS1 UNKNOWN CMN 2187 -13.5 41.2 769
AJXA2 UNKNOWN CMN 3745 -47.6 43.4 674
ANMN6 UNKNOWN CMN 1743 -9.2 51.6 1182
ARPF1 UNKNOWN CMN 6276 51.6 44.4 1160
BABT2 UNKNOWN CMN 6952 -32.1 23.5 320
BIGM4 UNKNOWN CMN 2843 -6.1 46.5 1621
BLIA2 UNKNOWN CMN 1076 70.4 50.1 406
CPXC1 UNKNOWN CMN 5329 6.2 49.5 3111
CSPA2 UNKNOWN CMN 628 -43.5 37.0 60
FFIA2 UNKNOWN CMN 649 39.7 39.8 92
FPTM4 UNKNOWN CMN 270 20.7 39.8 100
GTLM4 UNKNOWN CMN 4012 -33.8 38.4 428
GUXA2 UNKNOWN CMN 3107 -11.7 48.5 1340
HAXA2 UNKNOWN CMN 3015 -33.4 45.9 1422
HMRA2 UNKNOWN CMN 1776 83.6 49.7 1177
HMSA2 UNKNOWN CMN 2976 69.7 49.4 1464
ILOH1 UNKNOWN CMN 3898 105.6 52.0 3375
JCRN4 UNKNOWN CMN 2618 -50.0 27.8 358
JLXA2 UNKNOWN CMN 3659 -55.1 45.0 763
LIXA2 UNKNOWN CMN 3199 -3.8 48.6 1222
MLWW3 UNKNOWN CMN 4081 -32.0 37.9 369
MRKA2 UNKNOWN CMN 946 0.0 51.3 540
MRNA2 UNKNOWN CMN 3172 -21.4 48.2 1214
MRYA2 UNKNOWN CMN 3834 52.3 41.5 592
MXXA2 UNKNOWN CMN 3734 -57.8 40.8 713
NAXR1 UNKNOWN CMN 2436 59.4 32.3 533
NPDW3 UNKNOWN CMN 1008 -135.0 43.9 447
PBFW1 UNKNOWN CMN 1878 18.2 45.0 986
PBPA2 UNKNOWN CMN 402 -156.8 45.4 289
PCNT2 UNKNOWN CMN 6535 -36.4 32.0 737
PGXA2 UNKNOWN CMN 3690 40.8 46.3 742
PNGW3 UNKNOWN CMN 3480 -62.0 43.1 979
POTA2 UNKNOWN CMN 859 -84.1 54.5 626
PRTA2 UNKNOWN CMN 471 -1.1 46.4 222
PTLA2 UNKNOWN CMN 3130 -15.7 50.7 1296
RIXA2 UNKNOWN CMN 3753 48.0 43.7 644
RTAT2 UNKNOWN CMN 6955 -31.4 23.5 318
SCXA2 UNKNOWN CMN 3740 -50.8 43.4 675
SDIA2 UNKNOWN CMN 1371 0.2 46.3 530
SFXC1 UNKNOWN CMN 384 37.9 26.2 24
SHXA2 UNKNOWN CMN 3325 68.6 43.8 1090
SISW1 UNKNOWN CMN 2469 154.4 48.4 1991
SLVM5 UNKNOWN CMN 3022 -86.4 31.4 1599
STXA2 UNKNOWN CMN 3133 -77.6 52.3 1313
SVNM4 UNKNOWN CMN 2957 -52.0 40.2 756
TCMW1 UNKNOWN CMN 5056 11.3 50.4 2215
THLO1 UNKNOWN CMN 689 -30.5 30.1 44
TIBC1 UNKNOWN CMN 1971 -75.7 48.6 1005
TKEA2 UNKNOWN CMN 3276 -0.2 42.4 1166
WHRI2 UNKNOWN CMN 1160 -39.1 36.7 297
WKXA1 UNKNOWN CMN 1824 0.2 35.7 1096
WNEM4 UNKNOWN CMN 6209 37.6 43.4 1060
WPOW1 UNKNOWN CMN 472 62.8 53.9 268
YRSV2 UNKNOWN CMN 1955 -11.7 48.7 949
ANPT2 UNKNOWN TG 1414 -41.1 22.6 74
ANTA2 UNKNOWN TG 824 87.0 52.5 643
ANVC1 UNKNOWN TG 1375 -40.8 30.2 113
APAM2 UNKNOWN TG 20 -53.5 20.7 3
ATKA2 UNKNOWN TG 1337 38.7 38.6 149
BABT2 UNKNOWN TG 1424 -33.0 23.8 57
BFTN7 UNKNOWN TG 24 -41.4 21.8 0
BKBF1 UNKNOWN TG 22 43.4 33.2 2
BMTW1 UNKNOWN TG 524 -118.0 52.5 934
CECC1 UNKNOWN TG 1041 68.6 48.3 447
CHAO3 UNKNOWN TG 1113 -4.2 46.2 375
CHBV2 UNKNOWN TG 22 -131.2 12.0 2
CPMW1 UNKNOWN TG 1332 40.6 41.0 156
CPNW1 UNKNOWN TG 1334 -32.9 38.9 129
CPTR1 UNKNOWN TG 23 -47.5 18.5 1
CRVA2 UNKNOWN TG 764 -157.9 52.2 724
DULM5 UNKNOWN TG 1120 -31.6 41.1 364
FOXR1 UNKNOWN TG 23 -50.7 20.7 1
FPKG1 UNKNOWN TG 18 61.3 47.5 6
FRDF1 UNKNOWN TG 17 58.0 52.1 7
FTPC1 UNKNOWN TG 1424 -38.8 27.9 64
ICAC1 UNKNOWN TG 1184 59.3 45.3 304
ILOH1 UNKNOWN TG 798 106.5 52.1 690
JMPN7 UNKNOWN TG 22 -95.5 9.1 2
KPTN6 UNKNOWN TG 22 -58.5 18.9 1
LAPW1 UNKNOWN TG 1078 -9.4 42.6 376
LWSD1 UNKNOWN TG 21 -60.1 20.9 1
MCGM4 UNKNOWN TG 1045 0.1 45.4 442
MGPT2 UNKNOWN TG 1342 -36.5 32.3 131
MGZP4 UNKNOWN TG 1046 -29.9 43.2 442
MROS1 UNKNOWN TG 22 -40.1 36.5 2
MYPF1 UNKNOWN TG 22 62.4 35.1 2
NCHT2 UNKNOWN TG 1305 47.8 35.4 175
NKTA2 UNKNOWN TG 385 -6.7 44.3 147
NMTA2 UNKNOWN TG 1018 11.7 50.0 469
NTBC1 UNKNOWN TG 883 -25.4 50.4 605
NWHC3 UNKNOWN TG 24 31.1 19.6 0
PCNT2 UNKNOWN TG 1310 -36.8 32.2 136
PDVR1 UNKNOWN TG 22 -90.7 5.9 1
PLXA2 UNKNOWN TG 831 -142.1 43.7 657
PORO3 UNKNOWN TG 868 -85.5 54.6 620
PRHH1 UNKNOWN TG 1329 -48.8 19.1 159
PSBC1 UNKNOWN TG 1436 96.8 18.5 52
PSLC1 UNKNOWN TG 1062 78.7 54.0 426
PTIM4 UNKNOWN TG 1075 -14.0 42.8 413
PTWW1 UNKNOWN TG 1036 -78.1 55.4 452
PVDR1 UNKNOWN TG 22 -56.5 19.8 2
QPTR1 UNKNOWN TG 24 -92.0 3.0 0
RDDA2 UNKNOWN TG 1083 -8.9 40.8 387
RTAT2 UNKNOWN TG 1426 -32.2 23.2 62
RTYC1 UNKNOWN TG 1075 21.5 46.9 413
SDRT2 UNKNOWN TG 1356 -30.3 26.5 121
TCMW1 UNKNOWN TG 1006 11.6 50.0 476
TKPN6 UNKNOWN TG 21 -45.2 22.1 2
ULRA2 UNKNOWN TG 617 44.1 45.2 127
VDZA2 UNKNOWN TG 931 80.9 49.9 522
WDSV2 UNKNOWN TG 18 -22.9 41.7 6
YKTV2 UNKNOWN TG 22 -104.4 12.7 2
41052 FB 4412 -81.6 0.0 0
42059 FB 1253 -92.1 4.8 0
44488 FB 688 34.7 34.9 55
44489 FB 700 38.4 37.1 43
45012 FB 3954 -37.2 34.8 504
45023 FB 519 -56.4 44.5 122
45025 FB 522 -61.7 49.5 123
45028 FB 728 -45.7 38.8 88
45029 FB 3425 -70.5 43.6 945
45135 FB 692 -33.0 35.2 52
45139 FB 539 -16.1 39.2 204
45161 FB 44 -20.1 47.3 31
45174 FB 1095 53.5 48.1 269
45197 FB 1511 -32.2 36.8 103
45209 FB 1073 -169.5 43.6 3153
46022 FB 2967 158.4 35.2 1491
46027 FB 2745 9.3 42.0 1712
46060 FB 520 -1.0 48.1 222
46081 FB 539 2.1 50.3 204
46088 FB 3140 11.6 52.2 1315
46092 FB 283 109.9 51.8 452
46120 FB 111 26.4 30.3 44
46122 FB 1063 101.7 55.1 979
46123 FB 3243 64.2 49.7 837
46146 FB 491 -71.9 49.0 251
46204 FB 719 -32.9 23.2 24
62102 FB 740 -104.2 8.0 4
62145 FB 741 106.9 12.4 3
62148 FB 684 -30.6 28.4 60
63112 FB 742 -97.4 8.9 1
23016 DB 302 -39.2 33.8 25
23092 DB 128 -6.1 48.5 117
23099 DB 191 -61.4 41.5 47
23497 DB 78 -113.0 45.5 129
MAY 2025
WIND SPEED FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
3FZI8 MSC SPLENDIDA SHP 56 5.5 4.5 0
4YZQEDM UNKNOWN SHP 41 5.8 4.6 9
AMOHK02 UNKNOWN SHP 0 0.0 0.0 245
ATAT2 APJ JAOUAD SHP 53 -5.3 2.3 0
C6DL4 NORWEGIAN BLISS SHP 177 5.5 4.1 12
C6EF4 NORWEGIAN ENCORE SHP 155 5.1 4.6 7
DDGR99J UNKNOWN SHP 99 5.7 4.2 2
NEPP USCGC HEALY SHP 21 5.3 4.3 2
S6AN5 MAERSK COLOMBO SHP 55 6.7 3.5 0
UEMM UNKNOWN SHP 22 5.8 3.3 0
V7DM2 INSIGNIA SHP 39 5.5 3.7 0
VRWR7 SAGA CREST SHP 30 5.5 3.9 0
ANVC1 UNKNOWN TG 1488 -5.6 2.7 0
CHSV3 UNKNOWN TG 1484 -5.2 2.0 0
OOUH1 UNKNOWN TG 1488 -5.8 2.0 0
PLXA2 UNKNOWN TG 1488 -5.5 3.4 0
23497 DB 207 -5.4 2.3 0
MAY 2025
SEA SURFACE TEMP. FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
3EFK6 MSC MUSICA SHP 29 -5.8 3.8 2
3FON6 UNKNOWN SHP 25 4.4 0.6 0
7GBN9QD UNKNOWN SHP 40 4.1 1.8 0
9HA4902 MSC BELLISSIMA SHP 93 -4.3 4.1 2
9HA5370 MSC SEASHORE SHP 39 -4.2 2.1 0
9V3912 KN AMETHYST SHP 686 5.0 1.6 0
9V6316 UNKNOWN SHP 20 4.3 0.7 0
9V7625 EVER MAX SHP 287 5.2 5.1 15
9V9288 EVER LAWFUL SHP 43 6.7 3.6 0
9VFV5 MAERSK ALGOL SHP 37 4.0 1.5 0
ALBARO ALBARO SHP 20 -4.7 2.2 0
C6CX3 NORWEGIAN JOY SHP 349 4.7 2.7 0
H3FV MSC OPERA SHP 552 -4.0 4.9 1
HBLLCVS UNKNOWN SHP 20 -5.9 1.5 0
HOPW MSC LIRICA SHP 170 -4.8 1.6 0
LAHR7 STAR KIRKENES SHP 143 4.7 4.1 0
MERFR09 UNKNOWN SHP 118 4.8 3.7 5
OZIB2 MAERSK LONDRINA SHP 20 4.2 1.0 0
PUZA8BS UNKNOWN SHP 117 5.3 3.8 7
V7A4788 MARLIN HESTIA SHP 188 -5.5 2.6 0
V7HH2 STI GALLANTRY SHP 30 -4.1 1.2 0
VRAR6 UNKNOWN SHP 23 -6.3 1.5 0
WRJP R J PFEIFFER SHP 70 5.5 2.3 0
MLSC1 UNKNOWN CMN 5401 -3.2 6.8 345
BKTL1 UNKNOWN TG 1487 4.5 5.3 0
DULM5 UNKNOWN TG 1413 -0.2 6.1 72
FAIO1 UNKNOWN TG 1488 4.7 2.1 0
ITKA2 UNKNOWN TG 1488 4.9 1.9 0
LJAC1 UNKNOWN TG 1456 -1.5 6.2 32
LOPW1 UNKNOWN TG 1488 2.4 6.1 0
MNMM4 UNKNOWN TG 1488 4.5 5.1 0
PEGF1 UNKNOWN TG 1366 5.7 1.7 0
SKTA2 UNKNOWN TG 1488 4.2 3.4 0
SWLA2 UNKNOWN TG 1463 6.8 3.1 25
YATA2 UNKNOWN TG 1488 4.3 1.7 0
45012 FB 4319 -4.8 2.7 0
45027 FB 2283 -5.3 4.5 195
45028 FB 775 -5.6 4.2 30
45136 FB 127 -6.3 3.2 0
45139 FB 727 -4.4 3.9 16
45140 FB 78 -4.8 5.9 1
45159 FB 693 -4.4 4.4 48
45219 FB 4276 -4.6 3.9 180
46181 FB 744 7.4 3.7 0
46254 FB 1477 -1.0 6.1 8
46256 FB 1484 -4.0 3.3 0
46266 FB 1446 -1.3 6.7 38
46274 FB 1371 -1.3 7.0 57
46275 FB 1453 -1.8 6.3 24
46276 FB 1391 -2.9 6.9 88
46279 FB 1399 -2.7 7.0 86
46284 FB 1383 -2.5 6.7 96
TOTAL NUMBER OF OBSERVATIONS FOR MAY 2025 (EXCLUDING DUPLICATES
AND THOSE FROM CALLSIGN 'SHIP') WAS 2087999. TOTAL NUMBER OF
OBSERVATIONS FROM CALLSIGN 'SHIP' (EXCLUDING DUPLICATES) WAS 559.
TOTAL NUMBER OF IDS WAS 2628.
