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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
JUNE 2025
SEA-LEVEL PRESSURE FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
3E3566 UNKNOWN SHP 38 6.7 1.1 0
3EBY2 UNKNOWN SHP 6 12.8 1.5 40
3FAE4 EVER LUCKY SHP 142 4.2 1.4 0
3FON6 UNKNOWN SHP 58 5.8 0.7 0
3FWH8 EVER LOTUS SHP 22 6.7 4.3 0
7GBN9QD UNKNOWN SHP 27 4.3 0.7 0
7JJG UNKNOWN SHP 21 -4.1 0.9 0
7KKU UNKNOWN SHP 23 -4.4 0.6 0
7KOA UNKNOWN SHP 59 5.2 0.9 0
9HA2006 ASEEM SHP 66 -4.3 2.1 3
9HA3062 MEIN SCHIFF 3 SHP 31 -4.9 0.9 0
9HA3793 CMA CGM LITANI SHP 49 4.6 1.9 46
9HA3973 CMA CGM ARKANSAS SHP 20 -4.7 2.1 0
9HA4048 CMA CGM COLUMBIA SHP 84 7.8 5.4 20
9HA4330 MEIN SCHIFF 6 SHP 65 -4.7 1.0 0
9HA4638 MSC SEASIDE SHP 29 10.3 2.3 3
9HA4767 CMA CGM JEAN GABRIEL SHP 51 5.5 1.0 0
9HA5209 MSC VIRTUOSA SHP 119 8.3 2.7 14
9HA5823 EXPLORA 1 SHP 141 7.0 3.7 0
9HA5976 EXPLORA II SHP 36 5.8 1.4 0
9HJB9 CELEBRITY CONSTELLATION SHP 64 5.0 1.5 0
9HSJ7 DISHA SHP 61 7.3 3.3 3
9V3532 MAERSK NESTON SHP 129 4.7 1.7 0
9V5243 MAERSK SEVILLE SHP 24 7.1 3.4 0
9V5247 MAERSK SOPHIA SHP 57 4.6 0.9 0
9V6972 HYPERION SHP 25 4.7 0.9 0
9V7626 EVER MACH SHP 223 -6.1 3.7 1
9V7629 EVER MAST SHP 31 6.1 3.9 0
9V7659 EVER MACRO SHP 91 7.0 2.0 1
9V8372 UNKNOWN SHP 49 7.2 1.8 0
9V9148 UNKNOWN SHP 20 4.2 2.1 0
9V9408 MAERSK CAMEROUN SHP 21 7.4 1.0 0
ATAT2 APJ JAOUAD SHP 31 -1.4 2.1 15
AUTP DESH VISHAL SHP 42 6.6 3.2 0
AVWF DESH SHOBHA SHP 22 5.3 4.3 0
BHJG EVER ARM SHP 33 7.1 3.1 0
C6FB3 NORWEGIAN PRIMA SHP 50 -7.5 2.3 0
C6FJ9 NORWEGIAN VIVA SHP 24 -4.5 7.9 16
C6HZ6 SAGA FJORD SHP 21 4.2 1.1 0
D5264 MAERSK LABREA SHP 41 4.3 1.1 0
LAOE5 STAR MAJESTY SHP 34 6.4 1.3 0
LAQL7 STAR LOFOTEN SHP 24 5.6 1.7 0
LAQO7 STAR LUSTER SHP 26 5.4 2.6 0
OBAA BAP UNION SHP 80 -6.7 1.1 0
ONKH MINERAL ESPANA SHP 52 4.2 1.9 0
ONLW MINERAL ITALIA SHP 42 6.6 1.3 0
ONMA MINERAL OSTERREICH SHP 41 -4.7 1.4 0
OUHC2 COLUMBINE MAERSK SHP 27 5.9 1.3 0
OXSQ2 MAERSK ESSEX SHP 73 8.9 3.3 5
S6LT9 APL TEMASEK SHP 55 -6.9 4.9 0
V7A6073 STI MIRACLE SHP 320 7.2 2.7 0
V7A6081 STI MYSTERY SHP 101 4.6 1.8 0
V7A6082 STI MODEST SHP 592 5.1 3.1 8
V7A6509 GLASGOW VOYAGER SHP 58 10.5 1.4 1
V7DI9 STI SLOANE SHP 25 6.3 1.4 1
VABC ALGOMA INTREPID SHP 22 9.6 3.2 0
VECA CAPTAIN HENRY JACKMAN SHP 14 -3.0 4.5 12
VRLA6 MINERAL CLOUDBREAK SHP 41 8.3 3.1 0
VROB9 SEASPAN BEACON SHP 25 7.3 3.1 0
VROC3 YM WISH SHP 66 5.8 1.0 0
VROH8 YM WELLHEAD SHP 35 4.1 2.3 0
VROO6 YM WORTH SHP 44 4.2 2.2 0
VRQS4 OLYMPIA LOGGER SHP 29 5.0 1.1 0
VRTO4 PARIS EXPRESS SHP 24 9.2 0.9 0
VRUN6 ONE PARANA SHP 52 9.9 2.4 0
VRVO9 GUNDE MAERSK SHP 25 9.6 2.1 0
VRWA8 UNKNOWN SHP 37 -5.6 1.6 0
WACW POLAR DISCOVERY SHP 36 5.5 0.8 0
ZBZA5GS UNKNOWN SHP 26 -5.4 0.9 0
ZGFY4 CAJUN SUN SHP 49 -9.0 1.3 0
RPRN6 UNKNOWN CMN 3852 -8.8 0.9 0
45014 FB 0 0.0 0.0 1439
45161 FB 1682 9.8 0.9 0
45199 FB 14 2.9 5.9 10
45201 FB 2539 9.2 4.5 1443
JUNE 2025
AIR TEMPERATURE FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
9HA4767 CMA CGM JEAN GABRIEL SHP 49 4.1 2.5 0
9V3913 KN ARCADIA SHP 615 8.7 3.6 81
A9LV SEAPEAK BAHRAIN SHP 28 4.5 2.9 0
HOPW MSC LIRICA SHP 174 -4.5 2.8 0
LRN758S UNKNOWN SHP 22 4.6 2.3 0
OUQK2 CLEMENTINE MAERSK SHP 25 5.4 1.7 0
UAKA UNKNOWN SHP 50 -5.2 5.3 2
VRGO3 UNKNOWN SHP 79 4.1 2.7 0
VRTO4 PARIS EXPRESS SHP 24 4.2 3.2 0
WDC8307 SAMUEL DE CHAMPLAIN SHP 17 -1.4 6.6 4
WTEG NOAA REUBEN LASKER SHP 1036 9.5 3.5 146
ZCEV3 LONDON EXPRESS SHP 21 5.4 2.0 0
MLSC1 UNKNOWN CMN 6926 -4.1 3.6 0
CECC1 UNKNOWN TG 1399 -4.3 4.3 40
EPTT2 UNKNOWN TG 462 4.2 1.0 0
PRDA2 UNKNOWN TG 746 -6.3 3.3 7
44034 FB 4351 -4.1 2.9 32
44078 FB 0 0.0 0.0 2979
45002 FB 4312 -4.0 1.8 0
45003 FB 4312 -4.3 2.1 0
45006 FB 4306 -6.3 2.6 0
45022 FB 2501 0.8 6.3 221
45027 FB 4132 -5.5 4.0 162
45028 FB 4238 -5.3 3.7 79
45136 FB 714 -6.0 2.5 0
45151 FB 505 -4.3 4.8 27
45199 FB 1416 -4.5 2.3 0
45201 FB 2106 -10.3 3.4 1876
45219 FB 1800 -5.7 3.8 39
46027 FB 4318 -4.8 3.8 0
46088 FB 1796 -4.3 3.0 0
46267 FB 1360 -4.4 3.8 17
JUNE 2025
WIND DIRECTION FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
3E2032 UNKNOWN SHP 37 -120.7 4.2 2
3E2429 EVER ACT SHP 30 21.1 45.3 10
3E6632 GENEVI SHP 17 159.1 20.4 4
3EFK6 MSC MUSICA SHP 18 -15.5 38.9 8
3EIF9 UNKNOWN SHP 18 131.3 12.1 2
3FIL MAERSK ENSHI SHP 26 -37.3 33.1 7
3FOA6 MSC PREZIOSA SHP 28 37.4 35.2 3
3FZI8 MSC SPLENDIDA SHP 83 -162.1 46.1 84
3URK8QU UNKNOWN SHP 36 11.7 39.1 31
3XCGEYH UNKNOWN SHP 51 -92.4 7.9 1
4VKYNVK UNKNOWN SHP 61 37.4 36.1 8
5LUD4 UNKNOWN SHP 57 18.2 35.9 27
6WYPCNK UNKNOWN SHP 22 165.3 7.7 3
7GBN9QD UNKNOWN SHP 23 -34.4 42.0 4
7JKC UNKNOWN SHP 15 48.7 30.1 6
7JUO UNKNOWN SHP 25 30.4 23.6 1
7KAP UNKNOWN SHP 46 -110.0 13.0 3
7KHY UNKNOWN SHP 90 -103.2 11.5 2
7KLA UNKNOWN SHP 47 96.1 13.0 1
7KOA UNKNOWN SHP 55 -104.7 11.5 4
7KPW UNKNOWN SHP 29 31.6 36.3 3
9HA5063 MSC GRANDIOSA SHP 32 -33.8 30.6 7
9HA5823 EXPLORA 1 SHP 110 45.6 47.6 31
9HA5976 EXPLORA II SHP 30 40.2 28.2 6
9HJF9 CELEBRITY MILLENNIUM SHP 41 30.8 33.3 2
9V2732 SECRETO SHP 31 -179.0 28.9 5
9V2783 RTM DHAMBUL SHP 27 96.9 6.9 1
9V3913 KN ARCADIA SHP 626 46.5 37.7 64
9V5243 MAERSK SEVILLE SHP 18 -11.9 36.5 6
9V5244 MAERSK SARNIA SHP 45 -98.3 16.3 1
9V5245 MAERSK SANTANA SHP 37 -30.1 36.7 3
9V5250 UNKNOWN SHP 30 173.6 11.1 2
9V7625 EVER MAX SHP 152 -147.9 41.9 115
9V7629 EVER MAST SHP 18 -26.8 41.7 13
A9LV SEAPEAK BAHRAIN SHP 13 -169.8 36.3 15
AKNQJ6N UNKNOWN SHP 37 -31.5 29.7 3
AMOHK02 UNKNOWN SHP 30 -150.2 37.2 157
ATAH2 APJ SETHU SHP 35 144.5 32.4 8
ATAT2 APJ JAOUAD SHP 24 -123.7 39.5 20
AUTP DESH VISHAL SHP 27 -16.7 31.1 15
AVWF DESH SHOBHA SHP 18 -74.8 50.7 4
AWWB NANDA DEVI SHP 26 -106.1 15.7 2
BATFR23 UNKNOWN SHP 75 -32.4 34.8 8
BGT9CMU UNKNOWN SHP 24 -106.6 11.6 3
BHJG EVER ARM SHP 31 122.2 7.1 2
C6EF4 NORWEGIAN ENCORE SHP 50 14.2 47.7 23
C6EI4 ARTEMIS VOYAGER SHP 14 5.3 43.0 6
C6FJ9 NORWEGIAN VIVA SHP 30 -23.5 49.8 10
C6VG7 NORWEGIAN PEARL SHP 24 -35.3 34.9 6
C6XN6 SUNSHINE ACE SHP 17 131.3 43.7 3
CFK5152 CSL ST-LAURENT SHP 19 30.6 32.4 3
CFN6288 THUNDER BAY SHP 39 36.4 36.4 5
D5264 MAERSK LABREA SHP 38 119.9 20.1 3
D5DG4 PANDA 006 SHP 19 30.8 32.5 3
DJXYQXH UNKNOWN SHP 23 139.5 28.2 4
DQQNGXU UNKNOWN SHP 77 -49.7 38.5 11
DUUFU3N UNKNOWN SHP 38 31.9 22.9 4
DWEFBFY UNKNOWN SHP 25 -163.6 5.0 2
EUCFR05 UNKNOWN SHP 40 -133.6 35.7 5
EUCFR07 UNKNOWN SHP 62 -30.4 38.7 7
FTN49LX UNKNOWN SHP 59 33.1 37.0 5
GHM629S UNKNOWN SHP 31 -122.8 9.9 2
GLLU3AN UNKNOWN SHP 24 89.6 4.6 0
GMAMUGE AZAMARA ONWARD SHP 28 -0.2 43.7 12
H3FV MSC OPERA SHP 265 -4.8 47.7 136
H8EW MSC ARMONIA SHP 56 -50.1 42.1 15
HAY34MT UNKNOWN SHP 17 -0.2 38.4 6
HOPW MSC LIRICA SHP 125 5.5 50.8 46
JMVS UNKNOWN SHP 26 133.3 5.2 2
JWR4PHH UNKNOWN SHP 18 -178.8 8.2 2
KNBQKAQ UNKNOWN SHP 17 -32.8 34.5 4
LAGB5 STAR HARMONIA SHP 77 -92.5 0.5 0
LAJK7 STAR KVARVEN SHP 17 -118.3 14.9 3
LAQL7 STAR LOFOTEN SHP 17 -4.0 38.0 7
LJBL58D UNKNOWN SHP 575 63.8 50.7 144
MERFR20 UNKNOWN SHP 64 -35.3 38.8 16
MRVWWQV UNKNOWN SHP 34 -106.1 9.6 1
ONKH MINERAL ESPANA SHP 39 14.3 42.9 13
ONLU MINERAL DEUTSCHLAND SHP 37 97.4 15.1 1
ONMD MINERAL SVERIGE SHP 19 32.1 31.2 5
OXBB2 UNKNOWN SHP 37 82.2 0.6 0
RCLKYXB UNKNOWN SHP 60 10.1 40.4 20
SYBXXSM UNKNOWN SHP 22 -132.9 34.8 4
TEPWR4U UNKNOWN SHP 27 55.5 46.7 8
UBSH UNKNOWN SHP 16 33.9 38.1 4
UCSJ UNKNOWN SHP 27 -8.9 37.9 9
V7A6509 GLASGOW VOYAGER SHP 59 83.8 1.1 0
V7DI9 STI SLOANE SHP 25 -34.5 27.2 1
V7DJ7 STI CONNAUGHT SHP 87 41.6 31.3 8
V7HH2 STI GALLANTRY SHP 19 25.6 43.3 9
V7QK9 SEVEN SEAS EXPLORER SHP 148 50.6 46.5 31
V7UU4 SEAWAYS BRAZOS SHP 18 -11.5 21.6 6
V7UX2 UNKNOWN SHP 37 -102.2 11.4 1
V7WS4 FEDERAL SABLE SHP 28 126.5 12.8 3
VPGKNFU UNKNOWN SHP 13 -3.5 39.7 9
VRCI9 UNKNOWN SHP 30 43.2 36.3 3
VRCU7 UNKNOWN SHP 32 45.5 36.2 3
VRDW2 UNKNOWN SHP 66 -46.9 42.3 15
VREM6 UNKNOWN SHP 54 1.0 41.3 18
VRGO3 UNKNOWN SHP 76 -34.1 39.0 5
VRGO7 UNKNOWN SHP 20 -161.4 30.0 4
VRIB3 UNKNOWN SHP 17 -144.1 35.3 3
VRNA8 SEASPAN YANGTZE SHP 24 45.8 44.7 2
VRNR5 UNKNOWN SHP 24 -5.0 45.3 8
VRNR6 UNKNOWN SHP 41 -102.0 12.0 1
VROB9 SEASPAN BEACON SHP 23 -33.1 35.1 2
VRPN8 UNKNOWN SHP 12 166.7 21.6 12
VRQS4 OLYMPIA LOGGER SHP 2 -176.9 10.0 27
VRTF2 UNKNOWN SHP 15 -94.0 45.7 5
VRTO4 PARIS EXPRESS SHP 22 115.6 20.8 2
VRVH2 BADGER ISLAND SHP 20 90.6 2.1 0
VRWC8 UNKNOWN SHP 25 -113.6 15.7 3
VRWK9 UNKNOWN SHP 85 -34.8 29.5 10
WCF3012 KAYE E. BARKER SHP 31 45.1 40.5 13
WDC6055 STEWART J. CORT SHP 18 -35.4 36.4 2
WDC8307 SAMUEL DE CHAMPLAIN SHP 17 -31.3 39.6 10
WDD2992 DAVID B SHP 555 -77.9 54.3 331
WDE4789 ALASKA TITAN SHP 601 14.7 43.5 213
WDE6486 MEDEIA SHP 553 -17.0 46.2 248
WDE7804 KESTREL SHP 410 1.6 50.7 239
WDG2803 ARCTIC TITAN SHP 938 6.8 44.8 327
WDK5676 HUBBARD SHP 1020 -4.1 52.5 436
WDK8035 STEADFAST SHP 638 -3.2 48.0 236
WDQ3476 MAKUSHIN BAY SHP 35 -168.1 23.3 24
WLZ9WHS UNKNOWN SHP 18 1.6 52.4 6
WMHA MAERSK HARTFORD SHP 35 142.5 4.1 2
WMKA MAERSK KINLOSS SHP 113 83.8 3.7 0
WQZ7791 AMERICAN MARINER SHP 16 0.9 47.0 6
WRB9690 WESTERN MARINER SHP 891 -2.1 52.0 368
WTDL NOAA PISCES (AWS) SHP 547 -37.0 38.8 93
WYM9567 AURORA SHP 1257 -71.6 53.6 543
WYR4481 PAUL R. TREGURTHA SHP 52 -40.9 37.2 7
WZE4270 LECONTE SHP 68 -5.8 45.3 53
WZK3K4L UNKNOWN SHP 50 -40.3 40.2 4
XSPQWLM UNKNOWN SHP 25 4.3 36.1 10
XXKURDN UNKNOWN SHP 67 -45.3 42.4 12
XYKWGQR UNKNOWN SHP 8 -122.0 47.4 13
YDDP2 UNKNOWN SHP 17 16.5 37.9 7
YGFG2TT UNKNOWN SHP 38 -90.2 1.1 0
ZCEI3 UNKNOWN SHP 42 -33.1 42.3 6
ZGOK7 ONE ARCADIA SHP 30 163.6 11.7 2
ZQBVSBE UNKNOWN SHP 90 -4.5 41.0 30
ACXS1 UNKNOWN CMN 1817 -12.4 41.1 1011
ANMN6 UNKNOWN CMN 1420 162.8 47.6 1416
BABT2 UNKNOWN CMN 7057 -32.1 17.9 111
BIGM4 UNKNOWN CMN 2909 -4.5 53.0 1405
BLIA2 UNKNOWN CMN 1017 9.4 51.7 418
CPXC1 UNKNOWN CMN 2327 -6.6 52.0 1570
DESW1 UNKNOWN CMN 597 -49.5 46.1 119
ELXC1 UNKNOWN CMN 2464 57.4 45.0 416
GEXA2 UNKNOWN CMN 3193 -17.2 44.1 1102
GRMM4 UNKNOWN CMN 3753 36.2 40.0 435
GUXA2 UNKNOWN CMN 2988 -3.7 49.1 1310
HAXA2 UNKNOWN CMN 2892 -33.2 43.7 1409
HMRA2 UNKNOWN CMN 1845 18.6 50.6 1025
HMSA2 UNKNOWN CMN 3009 11.9 49.2 1292
ICYA2 UNKNOWN CMN 3140 -9.2 41.6 1100
ILOH1 UNKNOWN CMN 4050 -13.6 54.5 3117
JCRN4 UNKNOWN CMN 2525 -61.7 30.3 351
JLXA2 UNKNOWN CMN 3075 -18.1 44.5 1222
KEXA2 UNKNOWN CMN 2979 -0.5 47.0 1299
LIXA2 UNKNOWN CMN 3183 4.3 47.1 1112
LJPC1 UNKNOWN CMN 640 37.4 38.6 75
MCGA1 UNKNOWN CMN 5355 -0.0 44.8 1814
MKGM4 UNKNOWN CMN 3867 -38.7 38.8 419
MLSC1 UNKNOWN CMN 6158 -48.0 38.8 768
MRKA2 UNKNOWN CMN 976 -2.4 48.8 458
MRNA2 UNKNOWN CMN 2841 -21.3 47.3 1436
MRYA2 UNKNOWN CMN 2999 -1.5 52.7 1268
MVXA2 UNKNOWN CMN 2941 -4.0 45.0 1358
MXXA2 UNKNOWN CMN 3234 -60.9 41.3 1067
NAXR1 UNKNOWN CMN 2360 56.7 32.0 516
NKXA2 UNKNOWN CMN 2679 2.2 53.4 1614
NPDW3 UNKNOWN CMN 1177 -33.1 40.9 237
OWXO1 UNKNOWN CMN 2042 -14.1 37.7 838
PBFW1 UNKNOWN CMN 1686 19.8 47.3 1114
PBPA2 UNKNOWN CMN 350 -157.0 43.4 345
PCNT2 UNKNOWN CMN 6943 -34.5 19.6 226
PGBP7 UNKNOWN CMN 6598 33.7 35.9 562
PGXA2 UNKNOWN CMN 2790 -3.8 55.8 1506
PILA2 UNKNOWN CMN 1062 -10.7 48.1 374
PNGW3 UNKNOWN CMN 3207 -32.0 45.0 1107
POTA2 UNKNOWN CMN 809 -179.6 55.5 625
PRTA2 UNKNOWN CMN 453 8.5 48.9 240
PTLA2 UNKNOWN CMN 2859 -13.1 52.9 1441
RIXA2 UNKNOWN CMN 2847 -9.5 50.7 1242
SCXA2 UNKNOWN CMN 2950 -28.9 46.2 1349
SDIA2 UNKNOWN CMN 1388 1.7 40.6 596
SFXC1 UNKNOWN CMN 2607 39.0 23.6 39
SHXA2 UNKNOWN CMN 2895 11.5 51.4 1403
SISA2 UNKNOWN CMN 445 -83.3 51.4 245
SISW1 UNKNOWN CMN 2203 148.8 44.9 2114
SLVM5 UNKNOWN CMN 2352 108.2 34.4 2126
SLXA2 UNKNOWN CMN 2977 -8.3 48.5 1291
STXA2 UNKNOWN CMN 2842 -80.7 51.2 1459
SVNM4 UNKNOWN CMN 3574 -58.0 38.5 695
TCMW1 UNKNOWN CMN 4250 26.4 43.2 2928
TIBC1 UNKNOWN CMN 1965 -68.2 47.7 913
TKEA2 UNKNOWN CMN 2580 -5.8 54.0 1721
WHRI2 UNKNOWN CMN 1152 -30.8 38.6 239
WKXA1 UNKNOWN CMN 1434 1.6 43.5 1346
WPOW1 UNKNOWN CMN 372 -101.6 53.4 346
YRSV2 UNKNOWN CMN 1456 166.6 48.0 1336
ANPT2 UNKNOWN TG 1421 -40.1 16.7 17
ANTA2 UNKNOWN TG 795 6.2 53.5 603
ANVC1 UNKNOWN TG 1328 -41.1 33.1 110
ATKA2 UNKNOWN TG 1143 50.7 42.4 291
BABT2 UNKNOWN TG 1413 -34.9 17.4 23
BMTW1 UNKNOWN TG 675 98.0 48.9 755
BUFN6 UNKNOWN TG 1310 -34.9 29.4 84
CECC1 UNKNOWN TG 900 71.6 50.2 539
CHAO3 UNKNOWN TG 937 -4.5 51.1 500
CPMW1 UNKNOWN TG 1253 41.7 34.1 185
CPNW1 UNKNOWN TG 1196 37.7 35.9 170
CRVA2 UNKNOWN TG 765 -165.3 54.9 672
DTLM4 UNKNOWN TG 1305 34.8 39.1 133
DULM5 UNKNOWN TG 1016 -29.3 40.2 421
GBWW3 UNKNOWN TG 977 -15.9 42.3 462
ILOH1 UNKNOWN TG 821 -77.3 54.4 610
JNEA2 UNKNOWN TG 1069 -5.7 42.9 367
KECA2 UNKNOWN TG 962 -12.0 49.9 463
KWHH1 UNKNOWN TG 459 -164.5 46.7 369
LAPW1 UNKNOWN TG 1068 -57.7 47.9 358
LJAC1 UNKNOWN TG 1276 37.0 41.5 163
MCGA1 UNKNOWN TG 1071 -0.1 44.4 366
MCGM4 UNKNOWN TG 1023 -7.8 51.3 414
MGPT2 UNKNOWN TG 1378 -31.1 27.5 60
MGZP4 UNKNOWN TG 1027 -34.7 41.0 411
NCHT2 UNKNOWN TG 1280 38.9 33.4 149
NKTA2 UNKNOWN TG 1173 -53.5 43.8 262
NTBC1 UNKNOWN TG 844 -35.7 44.2 593
NWWH1 UNKNOWN TG 1254 -30.5 29.1 181
OBGN6 UNKNOWN TG 1248 35.9 34.0 191
PCNT2 UNKNOWN TG 1359 -35.2 19.4 46
PGBP7 UNKNOWN TG 1244 32.3 36.2 98
PLXA2 UNKNOWN TG 837 -151.8 51.3 575
PORO3 UNKNOWN TG 761 -160.2 52.1 677
PRHH1 UNKNOWN TG 1303 -47.9 21.6 134
PSLC1 UNKNOWN TG 927 89.6 53.7 511
PTWW1 UNKNOWN TG 958 85.4 54.9 481
RDDA2 UNKNOWN TG 1026 7.5 44.2 400
RTYC1 UNKNOWN TG 833 121.5 32.6 604
SHBL1 UNKNOWN TG 1332 -33.9 33.7 107
TCMW1 UNKNOWN TG 853 25.9 43.7 586
VDZA2 UNKNOWN TG 861 85.6 51.4 541
41053 FB 4264 86.9 3.8 0
42067 FB 2335 -52.1 47.4 639
44042 FB 5046 -32.1 36.3 437
45002 FB 3992 -32.7 35.1 320
45025 FB 1533 -17.8 46.9 526
45029 FB 3136 -70.9 38.8 943
45136 FB 476 -24.4 48.4 238
45142 FB 135 -40.1 40.1 15
45144 FB 132 -116.0 41.7 352
45145 FB 64 176.0 40.3 446
45170 FB 668 -59.1 41.5 100
45176 FB 3725 35.8 37.5 448
45187 FB 2189 59.2 43.9 405
45203 FB 3186 -30.0 34.7 683
45207 FB 3844 40.5 34.0 327
45209 FB 944 -176.8 40.8 3345
45219 FB 1393 -25.4 43.6 475
46014 FB 4107 35.4 33.2 211
46022 FB 2703 27.8 30.9 1612
46027 FB 2112 9.4 48.3 2206
46053 FB 3908 -34.6 37.4 407
46059 FB 4314 -86.6 5.5 2
46081 FB 450 -10.3 53.2 269
46087 FB 3407 55.8 46.5 907
46088 FB 1188 14.8 46.8 607
46092 FB 99 173.3 41.7 616
46120 FB 2147 -168.3 53.2 1836
46121 FB 642 -11.5 42.3 239
46123 FB 2851 61.0 44.9 653
46131 FB 421 37.4 30.4 46
46145 FB 660 -35.9 37.1 59
46146 FB 442 -68.9 47.6 275
46181 FB 627 -40.3 41.6 92
46303 FB 295 -18.4 44.5 119
46304 FB 355 -66.1 43.2 100
23009 DB 297 104.2 4.5 2
23092 DB 132 -17.3 20.4 106
23094 DB 232 106.0 11.8 6
23099 DB 175 -76.7 33.9 53
23454 DB 135 86.8 1.3 0
51022 DB 637 97.9 0.0 0
JUNE 2025
WIND SPEED FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
5LUD4 UNKNOWN SHP 82 5.2 3.3 2
9V2734 SHAAMIT SHP 27 6.0 3.1 0
AMOHK02 UNKNOWN SHP 0 0.0 0.0 187
ATAH2 APJ SETHU SHP 43 5.6 4.9 0
C6DL4 NORWEGIAN BLISS SHP 235 5.2 3.8 4
C6EF4 NORWEGIAN ENCORE SHP 73 6.0 4.3 0
VRPN8 UNKNOWN SHP 23 5.9 6.3 1
VRTF2 UNKNOWN SHP 20 7.4 2.9 0
CHAV3 UNKNOWN TG 1437 -5.1 1.9 0
CHSV3 UNKNOWN TG 1435 -6.0 1.6 0
OOUH1 UNKNOWN TG 1432 -5.5 2.1 0
23099 DB 228 -5.6 1.4 0
JUNE 2025
SEA SURFACE TEMP. FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
3EFK6 MSC MUSICA SHP 23 -5.5 4.4 0
9HA4902 MSC BELLISSIMA SHP 79 -7.6 3.7 3
9HA5370 MSC SEASHORE SHP 34 -4.9 1.9 0
9HA5682 MSC WORLD EUROPA SHP 650 -4.4 3.3 4
9V3912 KN AMETHYST SHP 637 4.5 2.0 0
9V5245 MAERSK SANTANA SHP 25 5.2 2.6 0
9V6316 UNKNOWN SHP 32 4.5 0.5 0
C6CX3 NORWEGIAN JOY SHP 270 4.2 2.0 0
HOPW MSC LIRICA SHP 99 -7.5 2.1 1
ONLU MINERAL DEUTSCHLAND SHP 38 -5.1 1.2 0
V7A4788 MARLIN HESTIA SHP 98 -5.2 2.8 0
VRNR5 UNKNOWN SHP 32 5.7 4.1 0
ZNB ZIM NINGBO SHP 45 4.4 1.1 0
MLSC1 UNKNOWN CMN 4903 -4.1 7.2 656
WNEM4 UNKNOWN CMN 7044 -4.1 4.3 60
BKTL1 UNKNOWN TG 1439 5.3 4.9 0
CASM1 UNKNOWN TG 1400 -4.0 4.1 36
GDMM5 UNKNOWN TG 1413 -5.3 3.9 24
LJAC1 UNKNOWN TG 1385 -3.2 7.5 54
LOPW1 UNKNOWN TG 1414 3.6 7.3 18
LTRM4 UNKNOWN TG 1435 -4.3 4.0 0
MEYC1 UNKNOWN TG 1342 -3.4 6.0 0
MZXC1 UNKNOWN TG 1437 -1.4 6.4 0
PEGF1 UNKNOWN TG 627 5.4 1.6 0
PORO3 UNKNOWN TG 1438 -4.6 3.6 0
PRDA2 UNKNOWN TG 1342 -5.1 5.3 58
PSLC1 UNKNOWN TG 1343 -4.3 5.1 0
RDDA2 UNKNOWN TG 1368 -7.9 3.7 58
SDBC1 UNKNOWN TG 1439 -1.9 6.6 0
SEIM1 UNKNOWN TG 1367 -4.2 4.6 70
SWLA2 UNKNOWN TG 1437 5.2 3.0 0
WNEM4 UNKNOWN TG 1424 -4.0 4.3 12
YATA2 UNKNOWN TG 1434 4.1 1.3 0
45006 FB 4248 -4.3 2.0 0
45022 FB 3167 -5.5 4.0 39
45027 FB 4009 -6.1 4.3 308
45028 FB 4144 -4.4 4.3 173
45136 FB 714 -5.6 2.8 0
45139 FB 686 -5.5 4.2 29
45159 FB 648 -5.5 4.6 56
45186 FB 2683 -5.4 3.9 45
45187 FB 2380 -5.2 3.8 214
45201 FB 2384 -3.6 4.6 1597
45208 FB 638 11.3 2.6 453
45218 FB 864 -4.7 3.2 0
45219 FB 1832 -7.5 3.0 36
46092 FB 699 -4.5 6.3 16
46181 FB 719 4.7 5.4 0
46224 FB 1439 -2.8 7.1 0
46225 FB 1439 -1.9 6.3 0
46236 FB 1415 -4.5 6.2 24
46254 FB 1439 -2.4 7.4 0
46256 FB 1439 -4.7 3.1 0
46266 FB 1371 -2.6 8.0 68
46274 FB 1312 -2.2 8.3 127
46275 FB 1409 -3.1 7.6 31
46276 FB 1346 -4.3 7.6 94
46279 FB 1360 -4.2 7.7 79
46284 FB 1294 -4.0 7.5 33
53555 DB 305 5.5 6.0 0
TOTAL NUMBER OF OBSERVATIONS FOR JUNE 2025 (EXCLUDING DUPLICATES
AND THOSE FROM CALLSIGN 'SHIP') WAS 2170870. TOTAL NUMBER OF
OBSERVATIONS FROM CALLSIGN 'SHIP' (EXCLUDING DUPLICATES) WAS 488.
TOTAL NUMBER OF IDS WAS 2548.
