| Choose another month: |
|
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).
Return to Top
NCEP CENTRAL OPERATIONS (NCO) PLATFORM STATS
JULY 2026
SEA-LEVEL PRESSURE FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
2FRK7 EVER LASTING SHP 49 5.5 0.9 0
3E4612 UNKNOWN SHP 37 4.7 0.7 0
3EBY2 UNKNOWN SHP 2 13.1 1.3 19
3EPL4 MSC POESIA SHP 75 5.0 2.4 0
3EPU6 NYK ORION SHP 65 4.7 1.8 0
3ETR7 MSC FANTASIA SHP 305 4.7 1.8 0
5LOH5 UNKNOWN SHP 28 5.7 2.0 0
5LQD5 IQUIQUE EXPRESS SHP 66 8.1 4.5 1
5LYQ3 UNKNOWN SHP 53 7.6 2.7 0
7JJL UNKNOWN SHP 22 4.2 0.5 0
7JKC UNKNOWN SHP 22 4.0 0.7 0
7JLP UNKNOWN SHP 33 4.1 1.5 0
7KJS UNKNOWN SHP 44 5.6 1.4 0
9FV386K UNKNOWN SHP 85 5.1 3.8 0
9HA4638 MSC SEASIDE SHP 276 12.3 2.2 13
9HA4777 MSC SEAVIEW SHP 132 5.5 1.7 0
9HA4902 MSC BELLISSIMA SHP 72 11.8 1.0 4
9HA5209 MSC VIRTUOSA SHP 123 8.3 6.6 36
9HA5249 INEOS DOLPHIN SHP 30 8.7 0.9 0
9HA5370 MSC SEASHORE SHP 56 5.4 1.9 0
9HA5677 MSC SEASCAPE SHP 143 4.1 2.3 0
9HYO7 RAAHI SHP 30 -1.4 1.6 39
9V2732 SECRETO SHP 23 5.6 2.9 0
9V6324 PELICAN PACIFIC SHP 117 6.2 2.2 0
9V6625 ENABLE SHP 61 4.1 1.6 0
9V6627 ELECTRA SHP 36 8.7 1.8 0
9V7524 EVER SUMMIT SHP 32 -5.2 1.1 0
9V7627 EVER MAGI SHP 49 7.4 3.5 1
9V7629 EVER MAST SHP 134 4.5 1.8 0
9V7647 EVER MILD SHP 44 11.4 1.6 7
9V7711 EVER MERCY SHP 41 8.9 2.1 0
9V7754 MAERSK WALLIS SHP 45 7.1 1.1 1
9V9290 EVER LEGACY SHP 105 5.0 2.0 0
9VMY2 YM WINNER SHP 170 6.5 1.8 0
A8EI4 YM WEALTH SHP 83 4.6 2.3 0
BHJH EVER ART SHP 55 9.6 2.0 0
C6AP4 POLARIS VOYAGER SHP 39 7.8 0.8 0
C6BU3 UNKNOWN SHP 43 5.2 1.6 0
C6DL4 NORWEGIAN BLISS SHP 116 -5.1 2.5 0
C6FJ9 NORWEGIAN VIVA SHP 10 -6.4 9.1 24
C6HY8 SAGA DISCOVERY SHP 42 -4.4 2.2 0
C6HZ7 SAGA FLORA SHP 56 5.2 2.2 0
C6PZ8 NORWEGIAN SKY SHP 194 -4.9 2.3 0
C6WO8 UNKNOWN SHP 70 4.8 0.8 0
CFN6288 THUNDER BAY SHP 23 -9.0 7.6 1
D5HF3 CORCOVADO SHP 113 10.2 2.1 1
GHM629S UNKNOWN SHP 23 4.0 2.1 0
H3FV MSC OPERA SHP 78 -4.4 1.8 0
H8XH MSC SINFONIA SHP 110 7.6 2.8 2
HOPW MSC LIRICA SHP 88 -4.9 1.7 0
LAQJ7 STAR LINDESNES SHP 29 6.0 2.8 0
LAQL7 STAR LOFOTEN SHP 70 4.5 2.6 0
LATL8 PARSIFAL SHP 43 -5.3 2.3 0
ONLA MINERAL DANMARK SHP 44 11.2 1.4 0
OXSQ2 MAERSK ESSEX SHP 26 9.8 1.6 0
S6CH8 SILHOUETTE ISLAND SHP 97 6.4 1.8 0
S6NQ APL FULLERTON SHP 76 -4.9 1.8 0
UCSJ UNKNOWN SHP 24 4.5 0.9 0
V7A4788 MARLIN HESTIA SHP 582 4.5 2.5 3
V7A6073 STI MIRACLE SHP 205 4.4 2.0 1
V7A6441 LONDON VOYAGER SHP 36 4.7 1.6 0
V7A6442 SAN RAMON VOYAGER SHP 27 4.7 1.9 0
V7WS5 FEDERAL SKEENA SHP 93 7.4 2.2 0
VRDW2 UNKNOWN SHP 89 -4.0 0.9 0
VRJT5 MAERSK CHAMBAL SHP 52 4.1 0.8 0
VRKZ6 MAERSK NARMADA SHP 42 11.9 1.5 1
VRLJ3 OOCL BRUSSELS SHP 37 -5.2 1.8 0
VRMX8 UNKNOWN SHP 21 4.2 1.3 0
VRRB5 SHANDONG DA CHENG SHP 95 8.6 1.4 0
VRTV2 LOUIS MAERSK SHP 42 -4.7 0.6 0
VRVO5 GUNHILDE MAERSK SHP 22 5.9 0.6 0
VRVO9 GUNDE MAERSK SHP 44 8.8 2.2 1
VRWY9 UNKNOWN SHP 42 -4.5 1.9 0
WAZV POLAR ADVENTURE SHP 81 -4.2 0.7 0
WDK4857 SEA LION SHP 33 6.6 3.4 0
OLCN6 UNKNOWN CMN 4324 -9.2 0.8 0
PWAW3 UNKNOWN CMN 0 0.0 0.0 8900
RPRN6 UNKNOWN CMN 4324 -7.4 0.9 0
45161 FB 1415 10.2 0.8 0
45174 FB 4064 4.0 0.9 0
45201 FB 2670 9.4 3.9 1646
JULY 2026
AIR TEMPERATURE FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
9V7711 EVER MERCY SHP 41 4.5 2.8 0
9V7879 INCHEON BAY SHP 29 4.9 1.6 0
AVBF DESH MAHIMA SHP 37 4.1 2.1 0
C6CN5 SEAPEAK VANCOUVER SHP 25 4.1 2.6 0
OWWS2 CORNELIA MAERSK SHP 48 4.3 1.8 0
UAST UNKNOWN SHP 30 -4.5 7.0 9
V7A5787 FRONT GAULA SHP 2 3.4 1.7 29
V7A6440 RICHMOND VOYAGER SHP 119 4.5 1.8 0
V7A6441 LONDON VOYAGER SHP 34 4.1 1.2 2
VRJS2 UNKNOWN SHP 28 4.7 3.0 0
VRSC8 PENGUIN ISLAND SHP 31 4.4 2.7 0
WDD3741 SOUTHERN WIND SHP 609 0.0 1.6 346
WXY6216 JOSEPH L. BLOCK (AWS) SHP 352 -4.6 6.5 32
FPTM4 UNKNOWN CMN 3259 4.7 2.8 5
SHXA2 UNKNOWN CMN 0 0.0 0.0 4394
SLVM5 UNKNOWN CMN 4119 -5.4 4.4 90
APAM2 UNKNOWN TG 1125 4.2 3.2 58
CECC1 UNKNOWN TG 1473 -4.4 4.2 0
GDMM5 UNKNOWN TG 1432 -6.6 4.2 44
44034 FB 4213 -4.8 2.3 0
45006 FB 4445 -8.3 2.5 11
45027 FB 3754 -5.9 3.9 171
45028 FB 2201 -5.1 3.7 4
45136 FB 739 -6.9 2.9 0
45201 FB 2794 -9.8 3.3 1522
45219 FB 3409 -7.8 3.7 227
46088 FB 4411 -4.5 3.1 0
46118 FB 0 0.0 0.0 87
46267 FB 1378 -4.9 3.5 45
JULY 2026
WIND DIRECTION FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
2GLI9 EVER LINKING SHP 72 34.0 34.4 7
2JQFMZZ NORA MAERSK SHP 82 2.4 39.8 28
3EBY2 UNKNOWN SHP 20 -103.5 21.1 1
3EFK6 MSC MUSICA SHP 122 -45.2 46.5 16
3EJF3 MSC ORCHESTRA SHP 39 8.9 40.8 13
3EQA4 CAP SAN ARTEMISSIO SHP 18 -170.4 6.6 2
3GFKKCC UNKNOWN SHP 35 43.7 47.5 10
3URK8QU UNKNOWN SHP 78 7.3 45.2 27
3XCGEYH UNKNOWN SHP 56 93.2 7.1 1
4SYY57Q UNKNOWN SHP 29 -19.8 41.5 10
5LOH5 UNKNOWN SHP 16 3.0 45.0 12
5LUD4 UNKNOWN SHP 27 -9.9 53.0 11
5UEVFZQ UNKNOWN SHP 52 -82.2 1.1 0
5WUJ24E UNKNOWN SHP 24 -150.2 6.0 3
7AL72XF UNKNOWN SHP 43 130.9 44.8 13
7JKC UNKNOWN SHP 20 111.2 4.5 2
7JYC UNKNOWN SHP 17 -169.2 44.3 21
7KPW UNKNOWN SHP 31 -36.4 38.3 4
7KRV UNKNOWN SHP 20 -133.8 13.9 3
9HA3513 MEIN SCHIFF 4 SHP 64 13.3 46.3 27
9HA3858 MEIN SCHIFF 5 SHP 31 -11.0 46.5 11
9HA5063 MSC GRANDIOSA SHP 19 90.8 53.2 9
9HA5249 INEOS DOLPHIN SHP 20 21.8 35.2 10
9HA5823 EXPLORA 1 SHP 42 59.8 50.1 12
9HA5959 MEIN SCHIFF 7 SHP 27 -113.5 15.0 3
9HA5974 CMA CGM ENDURANCE SHP 20 -21.5 37.8 8
9SYU6TM KMARIN RESOURCE SHP 24 22.9 35.3 9
9V2732 SECRETO SHP 17 4.1 34.1 6
9V2952 ZIM ALEXANDRITE SHP 21 -175.7 36.6 12
9V3736 UNKNOWN SHP 64 -127.3 23.4 2
9V5242 MAERSK SINGAPORE SHP 41 -105.3 14.6 4
9V6625 ENABLE SHP 55 -160.4 23.7 6
9V7524 EVER SUMMIT SHP 24 -76.7 50.0 8
9V7625 EVER MAX SHP 73 45.4 42.0 11
9V7641 EVER MEMO SHP 27 -52.9 34.3 3
9V7672 EVER MATCH SHP 23 34.6 32.0 3
9V7676 EVER META SHP 37 -157.6 21.3 2
9V7754 MAERSK WALLIS SHP 46 -90.9 1.1 0
9V8838 MAERSK VARNA SHP 26 147.4 13.9 3
9VMX9 YM WORTH SHP 32 -30.8 32.7 4
ABR9RDM UNKNOWN SHP 21 135.7 32.1 4
AKNQJ6N UNKNOWN SHP 17 -118.5 23.8 3
ALBARO ALBARO SHP 17 2.4 39.1 11
AMOHK02 UNKNOWN SHP 23 -153.5 28.3 135
AVBF DESH MAHIMA SHP 36 101.6 17.4 2
AZAN2YQ UNKNOWN SHP 21 173.4 24.1 4
BFHM5UQ UNKNOWN SHP 41 -98.9 12.8 1
BFUGCQQ UNKNOWN SHP 42 7.0 43.4 16
BHJH EVER ART SHP 53 102.4 5.9 2
BNRNR6P UNKNOWN SHP 25 85.0 1.1 0
C6BX9 OVATION OF THE SEAS SHP 30 4.5 44.9 10
C6EI4 ARTEMIS VOYAGER SHP 34 69.9 40.7 8
C6FJ9 NORWEGIAN VIVA SHP 24 -12.9 39.1 8
C6FT7 NORWEGIAN DAWN SHP 20 -82.1 44.4 20
C6HZ7 SAGA FLORA SHP 52 114.3 32.5 3
C6HZ9 SAGA FRAM SHP 14 -8.0 15.1 6
C6IH7 ATLANTIC VOYAGER SHP 17 75.8 52.1 5
C6XP7 NORWEGIAN EPIC SHP 16 75.0 45.6 7
CFN6288 THUNDER BAY SHP 22 57.7 42.7 3
D5DG4 PANDA 006 SHP 19 9.9 31.1 7
D5HF5 COYHAIQUE SHP 47 103.9 9.9 3
DUUFU3N UNKNOWN SHP 62 4.4 41.3 31
EKYKSJY UNKNOWN SHP 26 -127.3 17.9 2
EUCPT01 UNKNOWN SHP 40 -119.5 42.2 7
FFXYEPC UNKNOWN SHP 41 143.2 27.8 4
FYTT4LF UNKNOWN SHP 57 -34.0 41.5 6
JCP83EY UNKNOWN SHP 43 -34.7 28.1 4
JMVY UNKNOWN SHP 29 -152.5 30.8 5
KBAG BADGER SHP 75 -36.9 28.7 5
KTDQ THOMAS G. THOMPSON SHP 1024 -31.6 40.4 155
KZAMFKY UNKNOWN SHP 34 13.2 43.5 13
LAHR7 STAR KIRKENES SHP 38 -32.8 27.0 5
LAPE7 STAR LIMA SHP 477 31.7 32.9 28
LNVKQ6N UNKNOWN SHP 42 -109.2 5.8 3
MERFR09 UNKNOWN SHP 82 -2.5 43.1 36
MRVWWQV UNKNOWN SHP 39 -14.4 41.2 13
N261 UNKNOWN SHP 248 -30.4 41.1 38
NRTA86U UNKNOWN SHP 23 -135.2 13.5 3
ONKH MINERAL ESPANA SHP 20 -161.8 42.2 22
OZHS2 SALLY MAERSK SHP 63 86.1 7.1 0
PWNLHBZ UNKNOWN SHP 20 -25.5 43.7 20
QJLVJFW UNKNOWN SHP 27 6.5 39.6 26
QPYUHME UNKNOWN SHP 21 -128.8 35.7 3
RYPU8UL UNKNOWN SHP 100 153.1 2.2 2
SJKKLVW UNKNOWN SHP 16 -3.2 34.6 7
TNVXRHV UNKNOWN SHP 50 -148.1 9.4 2
TXWN4PV UNKNOWN SHP 24 153.4 24.1 3
UAST UNKNOWN SHP 22 -27.8 44.9 16
UBSI9 UNKNOWN SHP 21 58.8 47.9 5
V7A4788 MARLIN HESTIA SHP 456 -53.2 44.6 132
V7A5787 FRONT GAULA SHP 26 62.6 40.4 5
V7A6073 STI MIRACLE SHP 140 -2.5 36.7 66
V7A6495 EL SEGUNDO VOYAGER SHP 50 -178.8 5.2 2
V7A6831 FAIRCHEM PRESTIGE SHP 38 -35.8 42.4 15
V7UU5 SEAWAYS PECOS SHP 15 17.8 36.7 5
VCKQ CSL ASSINIBOINE SHP 37 -32.5 35.3 4
VPGKNFU UNKNOWN SHP 22 -43.9 37.1 8
VRBQ6 UNKNOWN SHP 108 35.1 34.6 5
VRCI9 UNKNOWN SHP 18 53.8 45.5 7
VRDN3 UNKNOWN SHP 55 -147.3 16.9 3
VRFU8 UNKNOWN SHP 38 159.8 12.6 4
VRIB2 UNKNOWN SHP 44 96.1 5.1 1
VRLJ3 OOCL BRUSSELS SHP 36 -98.2 15.9 1
VRLJ4 UNKNOWN SHP 26 123.3 18.2 4
VRLN5 UNKNOWN SHP 30 -1.1 33.8 10
VRTH7 FRONT SANTIAGO SHP 30 40.6 36.3 4
VRTV2 LOUIS MAERSK SHP 35 35.4 32.4 7
VRVG8 UNKNOWN SHP 20 158.3 23.2 2
VRVQ9 UNKNOWN SHP 23 -122.2 33.7 5
VRWT4 UNKNOWN SHP 33 -30.7 16.5 1
WDB9821 JOYCE L. VANENKEVORT SHP 19 -150.6 25.0 4
WDC6055 STEWART J. CORT SHP 27 -90.7 6.0 0
WDC6698 MARCUS G. LANGSETH SHP 557 -9.3 37.4 298
WDC8307 SAMUEL DE CHAMPLAIN SHP 20 160.8 24.6 2
WDD2992 DAVID B SHP 577 -7.5 54.8 306
WDD3741 SOUTHERN WIND SHP 679 -7.3 50.5 276
WDE3568 CALUMET SHP 18 -19.6 39.3 7
WDE4789 ALASKA TITAN SHP 478 -42.7 36.8 52
WDE6486 MEDEIA SHP 637 -9.0 52.0 295
WDE7804 KESTREL SHP 524 0.7 53.6 345
WDG2047 TUG DEFIANCE SHP 18 12.5 40.6 7
WDK5676 HUBBARD SHP 1075 -60.8 49.0 346
WDK8035 STEADFAST SHP 647 -5.1 48.8 300
WFQNLHW UNKNOWN SHP 22 146.0 22.1 3
WMAP STATE OF MICHIGAN SHP 55 -5.2 38.0 19
WMKN MAERSK KENSINGTON SHP 109 31.1 33.8 7
WRB9690 WESTERN MARINER SHP 970 5.2 52.6 398
WSEP MAERSK SENTOSA SHP 15 5.3 20.4 5
WSQ2674 ROBERT GORDON SPROUL SHP 366 31.4 36.3 39
WXY6216 JOSEPH L. BLOCK (AWS) SHP 496 31.2 40.1 67
WYM9567 AURORA SHP 1337 -5.9 51.4 492
WYR2092 COLUMBIA SHP 1587 4.7 50.0 541
WZE4270 LECONTE SHP 828 5.9 55.0 541
XDEPLRT UNKNOWN SHP 42 158.5 12.2 2
XSPQWLM UNKNOWN SHP 30 18.5 36.6 15
YLGCDSK UNKNOWN SHP 19 5.1 51.7 10
YWG5SAU UNKNOWN SHP 18 -15.9 41.6 8
ACXS1 UNKNOWN CMN 1810 -40.9 37.8 1069
AJXA2 UNKNOWN CMN 3069 -10.3 48.8 1335
ANMN6 UNKNOWN CMN 1589 172.8 52.3 1247
BHRI3 UNKNOWN CMN 1340 -3.8 40.8 560
BIGM4 UNKNOWN CMN 3037 -4.5 49.0 1347
BLIA2 UNKNOWN CMN 1091 -54.6 52.4 381
CPXC1 UNKNOWN CMN 3856 178.4 56.2 3920
CSPA2 UNKNOWN CMN 245 118.0 42.6 491
FFIA2 UNKNOWN CMN 410 59.7 45.4 110
GEXA2 UNKNOWN CMN 3167 -12.1 47.0 1278
GIXA2 UNKNOWN CMN 3153 1.1 43.3 1254
GTRM4 UNKNOWN CMN 134 -38.8 44.3 47
GUXA2 UNKNOWN CMN 3162 -4.4 52.4 1275
HAXA2 UNKNOWN CMN 2613 -31.4 48.7 1839
HHLO1 UNKNOWN CMN 3273 -1.2 42.4 1124
HMSA2 UNKNOWN CMN 2887 4.1 55.3 1564
ILOH1 UNKNOWN CMN 4287 -12.1 47.7 2858
JCRN4 UNKNOWN CMN 2338 -67.9 37.5 570
JLXA2 UNKNOWN CMN 2885 -5.9 50.7 1561
JMLA2 UNKNOWN CMN 3020 -4.3 45.1 1425
KEXA2 UNKNOWN CMN 2854 -2.4 46.8 1598
KGCA2 UNKNOWN CMN 6101 49.7 39.9 1035
LCNA2 UNKNOWN CMN 566 36.1 41.8 170
LIXA2 UNKNOWN CMN 3487 57.2 48.6 963
LJPC1 UNKNOWN CMN 691 35.5 35.4 53
MDRM1 UNKNOWN CMN 699 -30.6 26.1 25
MRKA2 UNKNOWN CMN 1097 7.2 44.0 386
MRNA2 UNKNOWN CMN 2760 -83.6 52.2 1595
MRYA2 UNKNOWN CMN 3276 60.8 49.9 1154
MVXA2 UNKNOWN CMN 2246 -94.9 51.3 2199
MXXA2 UNKNOWN CMN 3140 -64.9 51.0 1309
NAXR1 UNKNOWN CMN 302 -166.6 32.4 2606
NIWS1 UNKNOWN CMN 1514 -145.9 44.7 1393
NKXA2 UNKNOWN CMN 2604 6.6 54.8 1795
NPDW3 UNKNOWN CMN 1150 -33.3 41.7 304
OTNM4 UNKNOWN CMN 738 4.6 44.8 269
OWXO1 UNKNOWN CMN 1843 -15.3 50.9 1062
PAXA2 UNKNOWN CMN 3077 1.7 49.9 1336
PBPA2 UNKNOWN CMN 357 -177.9 52.3 379
PGXA2 UNKNOWN CMN 3036 57.0 48.1 1402
PILA2 UNKNOWN CMN 871 -11.1 44.0 458
POTA2 UNKNOWN CMN 859 -23.9 45.3 625
PRTA2 UNKNOWN CMN 504 -2.1 49.8 228
PTGC1 UNKNOWN CMN 3212 111.9 29.7 1248
PTLA2 UNKNOWN CMN 3214 -8.9 52.3 1227
RIXA2 UNKNOWN CMN 2868 -32.1 43.2 1571
RKXF1 UNKNOWN CMN 2446 45.8 40.0 462
RTAT2 UNKNOWN CMN 6761 -36.2 15.1 375
SCXA2 UNKNOWN CMN 3223 -59.7 47.3 1217
SHXA2 UNKNOWN CMN 2825 19.1 50.9 1626
SISW1 UNKNOWN CMN 1945 150.4 45.2 2513
SLXA2 UNKNOWN CMN 2955 -9.0 47.5 1496
STXA2 UNKNOWN CMN 2978 77.6 54.1 1475
SVNM4 UNKNOWN CMN 2964 -54.7 42.5 701
SXHW3 UNKNOWN CMN 3072 -18.2 42.4 1358
TCMW1 UNKNOWN CMN 3949 138.7 40.4 3200
TIBC1 UNKNOWN CMN 446 122.0 33.4 1270
TKEA2 UNKNOWN CMN 2300 174.0 49.7 2148
WATS1 UNKNOWN CMN 3259 -60.3 49.6 1181
WHRI2 UNKNOWN CMN 1104 -34.8 34.8 338
WKXA1 UNKNOWN CMN 1754 -59.0 50.9 1148
WNEM4 UNKNOWN CMN 5650 -47.0 38.9 1471
WPOW1 UNKNOWN CMN 431 -149.8 47.9 312
YRSV2 UNKNOWN CMN 1618 -2.5 50.6 1198
AMRL1 UNKNOWN TG 1087 -8.3 39.4 390
ANPT2 UNKNOWN TG 1476 -88.6 8.2 1
ASTO3 UNKNOWN TG 1141 59.9 49.3 338
ATGM1 UNKNOWN TG 1218 47.9 42.1 246
ATKA2 UNKNOWN TG 1215 50.5 41.9 263
BMTW1 UNKNOWN TG 627 -118.5 46.7 851
BRHC3 UNKNOWN TG 1303 -36.1 40.6 171
BUFN6 UNKNOWN TG 1397 -33.9 32.9 76
CECC1 UNKNOWN TG 1095 54.7 38.8 378
CHAO3 UNKNOWN TG 956 -6.8 49.9 521
CHSV3 UNKNOWN TG 1475 -107.2 1.7 2
CMAN4 UNKNOWN TG 1390 -31.5 32.5 86
CMTI2 UNKNOWN TG 1072 -26.2 36.0 402
CNDO1 UNKNOWN TG 1143 -53.1 47.5 296
CRVA2 UNKNOWN TG 798 -18.6 54.3 681
CXHN6 UNKNOWN TG 846 87.0 55.1 630
FOXR1 UNKNOWN TG 1373 -32.0 32.5 101
FRDF1 UNKNOWN TG 1342 -37.8 38.0 133
FRDW1 UNKNOWN TG 750 95.0 48.7 727
GBWW3 UNKNOWN TG 882 -3.9 51.2 594
HLNM4 UNKNOWN TG 1281 -52.7 40.5 190
ICAC1 UNKNOWN TG 1204 50.9 42.8 268
ILOH1 UNKNOWN TG 877 -13.6 48.1 600
JNEA2 UNKNOWN TG 958 2.0 47.7 521
KECA2 UNKNOWN TG 985 -11.2 49.6 495
KGCA2 UNKNOWN TG 1258 48.6 41.5 221
KPTN6 UNKNOWN TG 1249 -46.4 40.7 228
KWHH1 UNKNOWN TG 765 -163.5 45.5 713
LJAC1 UNKNOWN TG 1333 31.2 38.2 143
LTRM4 UNKNOWN TG 1035 -58.7 50.5 434
MGZP4 UNKNOWN TG 938 -29.6 45.6 538
NCHT2 UNKNOWN TG 1303 50.5 35.1 170
NMTA2 UNKNOWN TG 1221 -45.3 44.2 257
NSTP6 UNKNOWN TG 1280 -31.0 35.8 194
NTBC1 UNKNOWN TG 947 -34.5 46.3 531
NWHC3 UNKNOWN TG 1311 -35.1 39.2 165
OBGN6 UNKNOWN TG 1233 30.2 36.7 243
PILL1 UNKNOWN TG 1097 57.4 42.2 292
PLXA2 UNKNOWN TG 983 70.7 50.3 496
PORO3 UNKNOWN TG 749 -163.1 53.0 726
PRHH1 UNKNOWN TG 1343 -44.4 18.1 136
PTAW1 UNKNOWN TG 817 26.7 47.0 659
PTIM4 UNKNOWN TG 1002 3.8 51.6 473
PTWW1 UNKNOWN TG 933 91.5 56.6 543
RCKM4 UNKNOWN TG 1194 -52.2 41.2 281
RCMC1 UNKNOWN TG 1004 -111.8 35.4 473
RTAT2 UNKNOWN TG 1405 -36.5 15.0 71
RTYC1 UNKNOWN TG 852 125.3 38.6 627
SHBL1 UNKNOWN TG 1311 -32.3 37.9 166
SJNP4 UNKNOWN TG 1445 102.4 11.6 1
SWPM4 UNKNOWN TG 1084 -0.3 49.0 389
UNLA2 UNKNOWN TG 1109 -61.5 48.8 368
VDZA2 UNKNOWN TG 811 92.9 51.9 668
WASD2 UNKNOWN TG 1297 39.8 42.5 177
WNEM4 UNKNOWN TG 1147 -47.9 40.0 322
41053 FB 1582 89.6 9.2 3
42060 FB 4454 93.7 6.9 2
44063 FB 4226 -4.8 48.6 1652
44065 FB 3991 -30.8 34.9 469
45005 FB 3810 -38.0 39.3 649
45028 FB 2355 -11.4 51.8 1471
45029 FB 3588 -53.1 37.9 692
45136 FB 534 -25.9 45.1 205
45159 FB 629 -45.7 39.7 106
45165 FB 3615 -60.1 44.4 767
45167 FB 1938 -32.3 36.2 137
45168 FB 3559 -55.6 43.4 790
45174 FB 3337 31.4 36.8 576
45187 FB 87 -110.4 29.6 59
45196 FB 3048 60.0 45.1 778
45197 FB 3719 41.6 43.3 567
45201 FB 2396 87.9 56.6 1821
45202 FB 3656 44.8 44.5 669
45203 FB 3213 -1.9 43.7 1087
45204 FB 3457 57.0 43.1 844
45206 FB 3592 51.4 45.3 696
45207 FB 3629 -55.8 42.9 707
45208 FB 3435 -36.0 36.2 305
45220 FB 3894 30.6 34.0 261
46015 FB 3894 34.8 33.0 567
46022 FB 2594 24.8 37.1 1864
46027 FB 2711 6.0 46.7 1749
46029 FB 3205 -2.7 27.8 1257
46042 FB 3142 125.1 36.1 1318
46050 FB 2943 -1.7 37.5 1515
46060 FB 3247 62.7 51.1 1214
46075 FB 4449 98.7 7.1 13
46081 FB 3165 -14.0 45.4 1297
46083 FB 4118 45.2 38.7 342
46088 FB 2729 152.4 47.6 1682
46092 FB 287 31.3 50.3 351
46118 FB 2030 127.5 38.3 1517
46120 FB 1099 -2.8 43.1 983
46125 FB 1500 -166.5 52.0 1617
46146 FB 429 -78.3 48.4 307
46303 FB 464 -23.4 47.3 257
46304 FB 542 -77.9 48.2 189
51000 FB 4461 91.8 5.0 0
62120 FB 719 -139.5 14.5 7
63057 FB 698 -36.8 23.5 46
23009 DB 81 165.9 44.1 183
23099 DB 109 -138.7 38.7 115
23453 DB 145 -122.4 25.6 92
23497 DB 168 -116.9 22.3 67
JULY 2026
WIND SPEED FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
AMOHK02 UNKNOWN SHP 0 0.0 0.0 158
AUTV DESH VIRAAT SHP 25 -6.7 2.1 0
D5DG4 PANDA 006 SHP 25 7.3 3.6 1
TEPWR4U UNKNOWN SHP 29 5.3 3.7 0
CHSV3 UNKNOWN TG 1477 -5.7 1.8 0
OOUH1 UNKNOWN TG 1474 -6.5 2.4 0
44073 FB 252 12.8 1.4 16
JULY 2026
SEA SURFACE TEMP. FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
3EJF3 MSC ORCHESTRA SHP 51 -6.5 2.8 0
9HA4777 MSC SEAVIEW SHP 129 -4.2 3.4 2
9HA5063 MSC GRANDIOSA SHP 28 -4.6 3.8 0
9HA5682 MSC WORLD EUROPA SHP 65 -5.8 3.6 1
9V8705 UNKNOWN SHP 23 5.2 0.9 0
BJKUBKR UNKNOWN SHP 107 5.0 1.4 0
C6CX3 NORWEGIAN JOY SHP 128 4.5 1.9 0
H8XH MSC SINFONIA SHP 103 -5.3 3.7 4
HLTDM3H UNKNOWN SHP 16 2.3 0.8 10
HOPW MSC LIRICA SHP 88 -4.8 2.8 0
V7A5716 UNKNOWN SHP 28 -4.2 1.5 0
VPGKNFU UNKNOWN SHP 25 -4.9 2.5 1
VRFU9 UNKNOWN SHP 36 -4.7 3.3 0
VRLJ4 UNKNOWN SHP 30 -4.7 2.6 0
VRTU5 NYSTED MAERSK SHP 52 4.4 3.5 0
VRWQ2 UNKNOWN SHP 21 -7.4 2.9 0
WRJP R J PFEIFFER SHP 26 5.9 1.3 0
WSQ2674 ROBERT GORDON SPROUL SHP 405 -3.1 7.0 0
WTDL NOAA PISCES (AWS) SHP 1108 -8.6 2.0 0
WYP8657 JAMES R. BARKER SHP 27 -5.0 4.8 0
MLSC1 UNKNOWN CMN 4097 -4.7 6.3 1302
BKTL1 UNKNOWN TG 1467 5.5 5.2 0
BZBM3 UNKNOWN TG 1468 4.2 2.5 0
CASM1 UNKNOWN TG 1419 -4.6 4.0 42
CHCM2 UNKNOWN TG 1468 4.0 5.1 0
CXHN6 UNKNOWN TG 1398 4.8 5.6 23
DULM5 UNKNOWN TG 1370 -4.7 5.3 99
GDMM5 UNKNOWN TG 1238 -9.0 3.4 231
LJAC1 UNKNOWN TG 1379 -2.5 7.7 88
LOPW1 UNKNOWN TG 1468 3.4 7.2 0
LTRM4 UNKNOWN TG 1441 -4.2 4.6 0
PCOC1 UNKNOWN TG 1429 -2.9 6.8 27
PEGF1 UNKNOWN TG 1436 6.4 2.3 0
PORO3 UNKNOWN TG 1467 -4.6 3.9 0
PSLC1 UNKNOWN TG 392 -4.8 4.8 0
SDBC1 UNKNOWN TG 1468 -2.2 7.1 0
SEIM1 UNKNOWN TG 1363 -4.8 4.3 75
YATA2 UNKNOWN TG 1467 4.3 1.4 0
44073 FB 54 -6.0 1.8 0
45006 FB 4144 -9.4 2.8 207
45027 FB 3351 -6.0 5.5 585
45028 FB 3798 -4.2 4.7 28
45136 FB 739 -6.7 2.9 0
45145 FB 727 8.4 1.6 0
45201 FB 2980 -2.1 5.5 1336
45217 FB 2225 -4.4 5.4 269
46088 FB 4321 -4.8 3.5 0
46181 FB 645 5.2 5.8 0
46215 FB 1488 -4.6 3.6 0
46224 FB 1488 -3.2 7.4 0
46225 FB 1488 -2.2 6.7 0
46236 FB 1440 -4.6 6.0 48
46254 FB 1482 -2.4 7.8 4
46256 FB 1488 -5.4 2.9 0
46266 FB 1363 -2.1 8.3 125
46267 FB 1430 -4.4 4.5 53
46274 FB 1274 -1.7 8.4 212
46275 FB 1421 -3.5 7.6 66
46285 FB 1468 -4.2 6.0 12
TOTAL NUMBER OF OBSERVATIONS FOR JULY 2026 (EXCLUDING DUPLICATES
AND THOSE FROM CALLSIGN 'SHIP') WAS 2335029. TOTAL NUMBER OF
OBSERVATIONS FROM CALLSIGN 'SHIP' (EXCLUDING DUPLICATES) WAS 43.
TOTAL NUMBER OF IDS WAS 2535.
