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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
MARCH 2025
SEA-LEVEL PRESSURE FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
3E3566 UNKNOWN SHP 59 5.3 1.5 0
3E5049 UNKNOWN SHP 60 9.1 2.3 1
3EBY2 UNKNOWN SHP 18 12.6 1.9 38
3ETR7 MSC FANTASIA SHP 31 4.1 2.7 0
3FZI8 MSC SPLENDIDA SHP 85 4.2 1.9 0
7KAS UNKNOWN SHP 108 4.0 2.2 1
9HA3062 MEIN SCHIFF 3 SHP 94 -5.1 1.3 0
9HA3973 CMA CGM ARKANSAS SHP 67 -5.2 2.5 0
9HA4330 MEIN SCHIFF 6 SHP 47 -4.2 1.1 1
9HA4638 MSC SEASIDE SHP 23 7.3 1.8 0
9HA4648 UNKNOWN SHP 81 5.1 2.2 1
9HA4766 APL FLORIDA SHP 29 4.2 1.3 0
9HA4777 MSC SEAVIEW SHP 310 4.1 1.8 2
9HA5209 MSC VIRTUOSA SHP 454 9.2 1.5 0
9HA5370 MSC SEASHORE SHP 62 5.7 1.0 0
9HA5682 MSC WORLD EUROPA SHP 368 -4.7 5.2 22
9HA5823 EXPLORA 1 SHP 253 5.8 3.1 0
9HJB9 CELEBRITY CONSTELLATION SHP 69 4.1 1.3 0
9HSJ7 DISHA SHP 81 5.4 2.4 0
9V2005 MAERSK INVERNESS SHP 26 5.0 1.3 0
9V3912 KN AMETHYST SHP 701 5.2 2.8 0
9V5243 MAERSK SEVILLE SHP 24 4.9 5.3 0
9V5247 MAERSK SOPHIA SHP 74 5.1 1.0 0
9V7629 EVER MAST SHP 74 5.1 2.7 0
9V7648 UNKNOWN SHP 53 4.9 2.0 0
9V7650 UNKNOWN SHP 333 8.2 1.8 2
9V7980 EVER FRANK SHP 74 6.7 1.8 0
9V9399 APL SOUTHAMPTON SHP 39 4.3 2.1 0
9V9404 APL DUBLIN SHP 53 4.9 0.9 0
9VFV4 MAERSK TAURUS SHP 66 5.4 1.2 0
9VHF2 MAERSK BATAM SHP 25 11.1 1.3 0
9VHK7 MAERSK ANTARES SHP 35 -6.6 1.3 0
A9LV SEAPEAK BAHRAIN SHP 29 10.8 1.2 1
AUBT JAG PANKHI SHP 0 0.0 0.0 69
AUTP DESH VISHAL SHP 20 7.4 1.6 0
AVBF DESH MAHIMA SHP 29 10.8 1.4 0
AWXA APJ ANGAD 2 SHP 22 -10.9 1.3 0
BKIE EVER LIVEN SHP 27 7.2 1.8 0
BKLN UNKNOWN SHP 23 -4.3 1.4 0
C6AP3 PEGASUS VOYAGER SHP 39 5.1 1.8 0
C6DL4 NORWEGIAN BLISS SHP 197 -4.8 1.2 0
C6ED5 CARIBBEAN VOYAGER SHP 91 4.5 3.0 11
C6EO5 CANOPUS VOYAGER SHP 30 8.6 1.4 0
C6FB3 NORWEGIAN PRIMA SHP 61 -6.4 2.6 0
C6FJ9 NORWEGIAN VIVA SHP 74 -4.7 1.4 0
C6TX6 NORWEGIAN JEWEL SHP 180 4.8 1.3 0
D5AD8 TIRUA SHP 47 11.4 1.7 1
D5DG4 PANDA 006 SHP 21 -5.0 0.8 0
D5LH3 ANTIPAROS SHP 61 6.2 1.4 0
IBCA UNKNOWN SHP 40 5.4 2.5 1
JPTX UNKNOWN SHP 96 6.4 2.2 0
KUL7SEK UNKNOWN SHP 42 4.3 1.2 1
LAQL7 STAR LOFOTEN SHP 59 4.7 1.3 0
LAVN4 STAR HIDRA SHP 135 4.7 2.1 0
LOCW UNKNOWN SHP 92 -5.3 1.3 0
ONLW UNKNOWN SHP 39 6.0 2.0 0
OUMR2 NAVIGARE GENEROSA SHP 41 6.6 1.8 0
OZIB2 MAERSK LONDRINA SHP 23 5.7 1.0 0
S6AN5 MAERSK COLOMBO SHP 60 10.4 1.8 1
S6CH6 MAERSK SEMAKAU SHP 37 6.1 1.1 0
TNVXRHV UNKNOWN SHP 28 -5.5 0.9 0
UAEV UNKNOWN SHP 9 5.4 7.2 19
UBAU UNKNOWN SHP 0 0.0 0.0 81
UBRW UNKNOWN SHP 23 -4.6 3.7 0
UCQX UNKNOWN SHP 2 -2.1 10.3 34
V7A4788 MARLIN HESTIA SHP 127 10.3 1.8 15
V7A6081 STI MYSTERY SHP 444 4.8 2.0 0
V7QK9 SEVEN SEAS EXPLORER SHP 157 5.1 2.1 0
V7WS6 FEDERAL SWIFT SHP 19 5.0 1.1 1
VRCB4 UNKNOWN SHP 25 -5.0 0.6 0
VRCY7 UNKNOWN SHP 42 6.1 2.6 1
VRDB3 UNKNOWN SHP 20 -4.0 1.4 0
VRDW2 UNKNOWN SHP 82 -4.9 0.6 0
VRFS2 UNKNOWN SHP 31 -4.8 4.6 0
VRIB2 UNKNOWN SHP 42 5.9 2.9 0
VRJS2 UNKNOWN SHP 22 -4.5 2.4 2
VRLA6 MINERAL CLOUDBREAK SHP 53 6.7 2.7 0
VRMX7 UNKNOWN SHP 54 4.6 2.6 0
VROC3 YM WISH SHP 21 5.5 1.4 0
VRPP5 ORIENTAL JUBILEE SHP 22 4.9 1.4 0
VRQS3 UNKNOWN SHP 31 7.9 2.1 0
VRRI5 SHANDONG DA REN SHP 164 4.9 1.4 0
VRTO4 PARIS EXPRESS SHP 56 9.2 1.5 3
VRTV2 UNKNOWN SHP 21 -5.6 0.9 0
VRVO5 GUNHILDE MAERSK SHP 35 5.9 0.8 0
VRVO9 GUNDE MAERSK SHP 20 4.9 1.4 0
VRVP3 GUSTAV MAERSK SHP 26 5.4 1.5 0
VRVR2 UNKNOWN SHP 23 4.2 3.4 0
VTLJ PINE GAS SHP 0 0.0 0.0 21
VTVW APJ INDRANI SHP 0 0.0 0.0 24
WTEK NOAA FERDINAND R. HASSLER SHP 707 5.6 5.9 22
ZBZA5GS UNKNOWN SHP 35 -5.0 0.9 0
ZCBD4 UNKNOWN SHP 21 4.8 1.8 0
ZGFY4 CAJUN SUN SHP 27 -8.4 1.2 0
PCLM4 UNKNOWN CMN 2763 -4.2 1.7 0
FRWL1 UNKNOWN TG 1486 4.6 1.0 0
41082 FB 2419 -11.7 2.4 1908
MARCH 2025
AIR TEMPERATURE FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
3ERG5 EVER FINE SHP 24 4.2 1.6 0
3FAR9 UNKNOWN SHP 25 4.1 2.1 0
9V9400 APL SALALAH SHP 92 4.2 2.4 0
AUBD UNKNOWN SHP 51 3.8 3.1 18
AZAN2YQ UNKNOWN SHP 22 4.2 2.4 0
BKLN UNKNOWN SHP 23 4.2 2.3 0
C6CA7 UNKNOWN SHP 48 4.1 1.3 0
V7A6496 SINGAPORE VOYAGER SHP 126 4.2 1.3 0
VRBX7 UNKNOWN SHP 21 4.8 2.4 0
VRCB4 UNKNOWN SHP 22 4.1 1.9 0
VRCG8 UNKNOWN SHP 35 4.1 2.9 0
VRFU9 UNKNOWN SHP 42 4.9 2.4 0
VRJS2 UNKNOWN SHP 21 5.2 3.2 3
VRLK2 JIANGMEN TRADER SHP 28 4.1 2.2 0
VRUO2 UNKNOWN SHP 24 4.9 1.5 0
VRVO5 GUNHILDE MAERSK SHP 35 4.6 2.8 0
VRVR2 UNKNOWN SHP 23 4.4 2.4 0
VRWC8 UNKNOWN SHP 35 4.1 3.5 0
VRZK8 UNKNOWN SHP 22 4.2 2.5 0
WDG7520 SIKULIAQ (AWS) SHP 0 0.0 0.0 136
SHXA2 UNKNOWN CMN 0 0.0 0.0 702
PRDA2 UNKNOWN TG 266 11.6 2.6 1218
MARCH 2025
WIND DIRECTION FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
2WDQB3E UNKNOWN SHP 51 9.5 49.3 18
32ST0 UNKNOWN SHP 559 -39.4 44.4 93
3E4107 UNKNOWN SHP 43 162.5 14.9 2
3EBY2 UNKNOWN SHP 47 46.8 41.0 9
3FZI8 MSC SPLENDIDA SHP 56 77.8 43.3 29
3HPZXMS UNKNOWN SHP 44 -31.7 33.4 3
5LAF3 EVER FEAT SHP 59 138.2 34.5 3
6BVFMWP UNKNOWN SHP 44 -0.7 46.2 16
6LDRRAL UNKNOWN SHP 274 -0.4 48.8 106
7GBN9QD UNKNOWN SHP 35 -37.5 39.8 5
7KDP UNKNOWN SHP 29 -32.0 32.5 4
7KJY UNKNOWN SHP 41 -140.2 8.6 2
7KNB UNKNOWN SHP 27 109.0 10.6 2
7KPW UNKNOWN SHP 29 -19.0 43.0 12
7WFBSAS UNKNOWN SHP 19 31.7 32.3 4
8PRGBJL UNKNOWN SHP 56 89.3 8.5 0
9HJB9 CELEBRITY CONSTELLATION SHP 67 146.4 0.1 2
9HJF9 CELEBRITY MILLENNIUM SHP 108 30.9 34.1 11
9M3466 UNKNOWN SHP 16 4.4 44.8 8
9V2005 MAERSK INVERNESS SHP 18 -21.1 27.1 8
9V2783 RTM DHAMBUL SHP 126 31.9 45.3 36
9V5250 UNKNOWN SHP 44 142.4 20.5 4
9V6316 UNKNOWN SHP 51 -153.4 22.9 3
9V6625 ENABLE SHP 16 -6.5 22.9 7
9V8190 PYXIS PIONEER SHP 63 3.2 37.1 26
9V8197 UNKNOWN SHP 24 -59.9 38.7 8
9V8838 MAERSK VARNA SHP 55 41.9 38.8 7
9V9288 EVER LAWFUL SHP 52 42.3 33.2 7
9V9404 APL DUBLIN SHP 51 -130.6 12.7 2
9V9791 EVER LIVING SHP 29 -132.8 2.5 2
A9LV SEAPEAK BAHRAIN SHP 13 -3.0 46.3 17
AMOHK02 UNKNOWN SHP 183 -23.8 47.3 64
AUTP DESH VISHAL SHP 16 -44.9 21.5 4
AUYN SWARNA KAMAL SHP 17 -48.4 41.2 7
AVBF DESH MAHIMA SHP 23 -57.8 39.0 6
AWWB NANDA DEVI SHP 19 -13.2 46.8 15
AWXA APJ ANGAD 2 SHP 9 -126.4 38.6 13
BFHM5UQ UNKNOWN SHP 52 130.9 24.3 3
BJKUBKR UNKNOWN SHP 39 124.4 7.6 2
BKLN UNKNOWN SHP 15 154.9 31.4 8
C6CA7 UNKNOWN SHP 44 -114.3 16.5 4
C6CN5 SEAPEAK VANCOUVER SHP 20 151.0 7.2 3
C6EI3 APOLLO VOYAGER SHP 31 -0.1 52.1 17
C6EO5 CANOPUS VOYAGER SHP 27 -118.3 1.8 3
C6FR3 NORWEGIAN STAR SHP 38 154.9 0.7 2
C6HZ5 UNKNOWN SHP 15 179.0 39.6 20
C6IB2 UNKNOWN SHP 17 2.5 39.1 12
C6PZ8 NORWEGIAN SKY SHP 26 -30.4 35.4 4
CGF6VCT UNKNOWN SHP 27 -179.0 12.6 7
CMZ6JJD UNKNOWN SHP 27 -116.7 17.2 2
CNGUSYM UNKNOWN SHP 35 -144.2 3.2 2
CQ2421 UNKNOWN SHP 58 117.6 8.1 2
D5QV7 MINERAL HONSHU SHP 35 -8.9 47.9 12
DDGR99J UNKNOWN SHP 30 152.1 44.4 42
DJXYQXH UNKNOWN SHP 18 -168.6 20.2 2
DLXT34Y UNKNOWN SHP 77 119.8 14.1 2
GNJ7EFP UNKNOWN SHP 87 7.1 36.8 36
H9ML PYXIS LEADER SHP 43 -88.2 6.6 0
JMVS UNKNOWN SHP 20 -43.6 36.9 3
KABL MAERSK IOWA SHP 67 -123.5 5.8 2
KUL7SEK UNKNOWN SHP 36 -34.3 40.1 7
LAVN4 STAR HIDRA SHP 122 40.0 32.0 13
LLW9X6U UNKNOWN SHP 21 -102.0 8.8 1
LWQPWTY UNKNOWN SHP 19 -38.8 31.0 2
MERFR09 UNKNOWN SHP 94 -54.5 41.6 23
MJPVYDL UNKNOWN SHP 46 -172.2 20.8 3
MRVWWQV UNKNOWN SHP 55 -160.4 4.2 2
ONKF UNKNOWN SHP 15 3.3 37.7 6
ONKH UNKNOWN SHP 15 -12.8 43.2 5
ONKJ LA SELVA SHP 14 112.9 41.5 17
ONKS UNKNOWN SHP 33 -1.4 45.0 16
QBC7XHC UNKNOWN SHP 72 -170.5 25.1 4
QWVX8BB UNKNOWN SHP 17 4.3 19.6 6
RYPU8UL UNKNOWN SHP 66 46.6 38.6 4
S6AN5 MAERSK COLOMBO SHP 35 -30.3 39.9 26
TEPWR4U UNKNOWN SHP 14 -3.2 47.0 11
TNVXRHV UNKNOWN SHP 26 -167.6 4.9 2
TTXRR5H UNKNOWN SHP 17 74.5 32.9 7
UAEV UNKNOWN SHP 20 -54.0 50.4 8
UBAU UNKNOWN SHP 39 -145.5 45.8 39
UCFT UNKNOWN SHP 24 157.9 12.4 3
V7A5868 FRITZI N SHP 24 124.3 14.7 4
V7A6070 STI MAESTRO SHP 276 -9.0 55.3 127
V7A6496 SINGAPORE VOYAGER SHP 122 95.7 10.0 4
V7FK6 STI SENECA SHP 17 -6.2 35.3 7
V7HH2 STI GALLANTRY SHP 19 122.5 36.2 3
V7IE2 GEO RESOLUTION SHP 19 -177.5 12.8 2
V7TM6 UNKNOWN SHP 17 -3.6 41.7 6
V7UT9 SEAWAYS RIO GRANDE SHP 21 100.4 3.7 1
V7UU4 SEAWAYS BRAZOS SHP 62 -9.0 35.2 26
VGWM JOHN D. LEITCH (AWS) SHP 96 -32.8 29.2 4
VPGKNFU UNKNOWN SHP 22 -30.7 32.7 1
VRCB4 UNKNOWN SHP 23 -36.4 30.0 2
VRCU7 UNKNOWN SHP 34 38.1 35.2 3
VRGO6 UNKNOWN SHP 21 125.8 3.0 2
VRIM5 SEASPAN CHIBA SHP 15 -29.9 33.5 7
VRJF2 HENRIKA SCHULTE SHP 30 152.5 20.9 3
VRJS2 UNKNOWN SHP 21 -36.6 32.2 3
VRLA6 MINERAL CLOUDBREAK SHP 46 47.0 46.6 7
VRNA9 SEASPAN THAMES SHP 34 -30.1 24.1 1
VROL7 YM WINNER SHP 30 30.8 19.9 0
VROX5 MAERSK TANJONG SHP 30 30.2 24.5 2
VRPF8 YM WELCOME SHP 20 -109.2 16.4 1
VRVC6 UNKNOWN SHP 15 -18.4 30.6 6
VRVQ9 UNKNOWN SHP 14 7.0 54.9 6
VRVR2 UNKNOWN SHP 19 -160.2 29.7 4
VRZK8 UNKNOWN SHP 14 61.6 45.3 8
VRZK9 UNKNOWN SHP 25 108.4 20.4 2
VTLJ PINE GAS SHP 17 -8.0 40.9 7
VTVW APJ INDRANI SHP 20 51.1 44.7 4
WDC8307 SAMUEL DE CHAMPLAIN SHP 20 -33.7 30.7 1
WDE7804 KESTREL SHP 586 0.0 54.3 285
WDJ9447 ISLAND EXPLORER SHP 269 -31.8 36.0 25
WDK5676 HUBBARD SHP 1173 -60.5 48.5 377
WDK8035 STEADFAST SHP 572 -60.3 44.5 168
WDN9745 TORM THUNDER SHP 21 -32.0 25.2 2
WELQ UNKNOWN SHP 21 111.2 22.8 2
WLZ256G UNKNOWN SHP 31 108.6 6.9 2
WLZ9WHS UNKNOWN SHP 14 -52.5 39.5 7
WNGW TUSTUMENA SHP 180 -8.4 55.7 120
WSFABLK UNKNOWN SHP 23 97.8 8.5 1
WTDH NOAA OKEANOS EXPLORER (AW SHP 324 4.1 46.5 128
WTDL NOAA PISCES (AWS) SHP 236 -40.2 37.7 24
XCGBCPP UNKNOWN SHP 24 35.1 39.2 4
XNDW39M UNKNOWN SHP 24 -123.4 9.5 3
YBBHE7D UNKNOWN SHP 26 31.1 25.9 1
YDDP2 UNKNOWN SHP 21 -114.8 35.9 2
YRU6UKM UNKNOWN SHP 64 -30.6 39.6 12
YRZSQRB UNKNOWN SHP 29 178.0 29.5 6
YTWRDKK UNKNOWN SHP 35 -179.1 14.0 3
ZCPC7MW UNKNOWN SHP 17 -33.1 32.4 4
ZNB UNKNOWN SHP 40 -14.0 40.1 15
ZNZH6 EVER EAGLE SHP 32 -75.4 52.5 12
ACXS1 UNKNOWN CMN 2146 -20.2 33.1 766
ANMN6 UNKNOWN CMN 2037 -7.3 48.2 859
BABT2 UNKNOWN CMN 6756 -30.8 28.8 604
CDXA2 UNKNOWN CMN 3890 30.4 32.5 305
CPXC1 UNKNOWN CMN 4897 16.1 50.8 2515
CSPA2 UNKNOWN CMN 639 -39.1 36.1 61
ELXC1 UNKNOWN CMN 2108 3.3 47.6 845
GUXA2 UNKNOWN CMN 2800 -28.1 46.4 1630
HAXA2 UNKNOWN CMN 2346 -155.5 53.6 2081
HMRA2 UNKNOWN CMN 2190 71.7 49.1 766
ILOH1 UNKNOWN CMN 4731 14.8 53.4 2630
JCRN4 UNKNOWN CMN 2692 -57.0 25.8 256
JLXA2 UNKNOWN CMN 2923 -8.9 48.2 1280
KEXA2 UNKNOWN CMN 3198 -1.5 47.4 1216
LIXA2 UNKNOWN CMN 2448 -12.6 44.7 1941
MRNA2 UNKNOWN CMN 2752 -22.4 49.0 1237
MRYA2 UNKNOWN CMN 3373 43.8 44.7 1023
MVXA2 UNKNOWN CMN 3227 16.6 49.4 1190
MXXA2 UNKNOWN CMN 3336 -65.6 45.2 996
NAXR1 UNKNOWN CMN 2368 81.3 28.5 580
NKXA2 UNKNOWN CMN 3185 -4.5 43.5 1187
NPDW3 UNKNOWN CMN 1037 -53.4 36.0 304
PAXA2 UNKNOWN CMN 3502 -49.4 43.0 577
PBPA2 UNKNOWN CMN 492 -75.0 47.9 209
PCNT2 UNKNOWN CMN 6524 -43.4 28.7 835
PGXA2 UNKNOWN CMN 3675 34.6 41.1 736
PILA2 UNKNOWN CMN 995 -22.2 43.3 492
PRTA2 UNKNOWN CMN 412 -5.5 43.4 281
PTLA2 UNKNOWN CMN 2810 -73.4 49.1 1604
RIXA2 UNKNOWN CMN 3571 -56.2 45.7 823
RKXF1 UNKNOWN CMN 2649 41.1 34.7 299
RTAT2 UNKNOWN CMN 6974 -31.2 27.0 369
SDIA2 UNKNOWN CMN 1468 -6.3 50.1 614
SDRT2 UNKNOWN CMN 6646 -32.4 27.8 703
SHXA2 UNKNOWN CMN 3285 62.9 45.0 1029
SISA2 UNKNOWN CMN 587 -54.8 48.2 116
SISW1 UNKNOWN CMN 3565 63.0 46.7 897
SKXA2 UNKNOWN CMN 3100 49.2 49.9 1084
SLVM5 UNKNOWN CMN 3096 -79.1 39.0 1458
STXA2 UNKNOWN CMN 3392 -67.8 51.9 1039
TIBC1 UNKNOWN CMN 1852 71.7 52.8 742
TPLM2 UNKNOWN CMN 676 -32.6 31.6 68
WKXA1 UNKNOWN CMN 2063 -5.0 38.6 873
WPOW1 UNKNOWN CMN 636 39.5 38.8 108
ANPT2 UNKNOWN TG 1399 -43.8 26.5 87
ANTA2 UNKNOWN TG 1055 -76.3 51.3 430
APAM2 UNKNOWN TG 16 -33.3 29.5 5
BABT2 UNKNOWN TG 1363 -31.9 28.4 118
BFTN7 UNKNOWN TG 15 12.4 11.3 6
BMTW1 UNKNOWN TG 648 -173.1 51.9 838
BUFN6 UNKNOWN TG 1361 -31.7 31.3 123
CHBV2 UNKNOWN TG 19 142.1 3.0 2
CPNW1 UNKNOWN TG 1337 33.1 37.8 149
CPTR1 UNKNOWN TG 17 124.8 44.0 4
CRVA2 UNKNOWN TG 952 -77.4 47.8 534
DELD1 UNKNOWN TG 18 -165.8 27.4 3
DOMV2 UNKNOWN TG 17 41.8 35.1 4
EMAT2 UNKNOWN TG 1397 -33.6 30.2 91
FRWL1 UNKNOWN TG 1386 -35.0 25.6 100
FTPC1 UNKNOWN TG 1341 -40.2 37.3 145
HCGN7 UNKNOWN TG 21 -89.1 3.0 0
ILOH1 UNKNOWN TG 950 15.5 53.4 534
IRDT2 UNKNOWN TG 1292 -35.0 36.0 191
JMPN7 UNKNOWN TG 21 -36.7 27.7 0
JNEA2 UNKNOWN TG 1077 -10.4 49.0 411
KECA2 UNKNOWN TG 1050 -11.9 44.7 435
KPTN6 UNKNOWN TG 13 -132.4 33.2 8
KPTV2 UNKNOWN TG 19 94.5 8.8 1
KYWF1 UNKNOWN TG 18 -165.4 1.5 2
LNDC1 UNKNOWN TG 1099 -2.4 42.4 388
LWSD1 UNKNOWN TG 16 -42.9 35.3 4
MBET2 UNKNOWN TG 1381 32.0 30.7 106
MGIP4 UNKNOWN TG 1374 -37.1 37.6 114
MGPT2 UNKNOWN TG 1404 -38.5 28.8 83
MGZP4 UNKNOWN TG 1107 -6.1 49.1 379
MNPV2 UNKNOWN TG 19 114.8 8.5 2
NBGM3 UNKNOWN TG 17 -174.9 25.1 4
NCHT2 UNKNOWN TG 1389 44.7 31.8 95
NMTA2 UNKNOWN TG 843 87.7 56.1 644
NTBC1 UNKNOWN TG 991 -8.0 47.4 494
NWHC3 UNKNOWN TG 15 -59.9 42.2 6
OBGN6 UNKNOWN TG 1347 43.6 31.5 132
ORIN7 UNKNOWN TG 15 10.0 17.2 6
PCNT2 UNKNOWN TG 1258 -44.3 28.0 171
PDVR1 UNKNOWN TG 17 -52.3 40.8 4
PLXA2 UNKNOWN TG 919 -22.4 45.9 569
PRHH1 UNKNOWN TG 1143 -33.4 38.5 321
PSBC1 UNKNOWN TG 1288 33.0 38.1 199
PSLC1 UNKNOWN TG 1079 68.0 51.4 409
PXOC1 UNKNOWN TG 1108 -5.9 47.2 377
QPTR1 UNKNOWN TG 15 -12.4 36.6 6
RDDA2 UNKNOWN TG 1067 6.7 40.3 416
ROBN4 UNKNOWN TG 18 153.0 31.5 3
RTAT2 UNKNOWN TG 1407 -32.4 26.7 74
RTYC1 UNKNOWN TG 1048 -8.7 42.8 432
SDRT2 UNKNOWN TG 1337 -32.6 28.4 136
VAKF1 UNKNOWN TG 18 -42.0 28.8 2
WDSV2 UNKNOWN TG 19 146.1 6.5 2
42067 FB 2861 70.4 49.9 1552
46054 FB 3527 42.3 38.5 495
46060 FB 508 16.5 45.2 236
46081 FB 572 -58.1 49.6 172
46088 FB 3174 -0.4 49.4 1287
46092 FB 375 97.2 55.1 368
46122 FB 2419 14.0 48.7 1031
46146 FB 538 -70.2 45.3 204
62140 FB 49 105.0 49.3 77
23001 DB 216 -69.0 48.3 75
23003 DB 101 134.7 32.3 207
23013 DB 104 139.6 32.7 141
23015 DB 137 -109.8 36.3 141
23092 DB 144 88.2 51.5 108
23491 DB 501 49.4 45.3 92
23497 DB 121 -178.1 56.2 118
31005 DB 338 109.3 10.3 4
51023 DB 741 -83.9 0.0 0
MARCH 2025
WIND SPEED FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
3FZI8 MSC SPLENDIDA SHP 79 5.1 5.6 6
AMOHK02 UNKNOWN SHP 0 0.0 0.0 247
AVBF DESH MAHIMA SHP 12 4.6 4.2 17
C6HZ5 UNKNOWN SHP 35 6.4 3.8 0
DDGR99J UNKNOWN SHP 62 7.2 5.7 10
S6AN5 MAERSK COLOMBO SHP 61 6.2 3.5 0
TTXRR5H UNKNOWN SHP 23 6.0 4.0 1
XJL6M6W UNKNOWN SHP 26 5.0 3.3 0
PGBP7 UNKNOWN CMN 7265 -5.4 1.3 0
POTA2 UNKNOWN CMN 1485 5.1 2.6 0
PGBP7 UNKNOWN TG 1457 -5.4 1.3 0
46208 FB 738 -6.6 2.4 6
MARCH 2025
SEA SURFACE TEMP. FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
3ERG5 EVER FINE SHP 24 -4.8 1.1 0
3ETR7 MSC FANTASIA SHP 31 5.3 2.3 0
9V3912 KN AMETHYST SHP 701 5.1 2.1 0
ALBARO UNKNOWN SHP 28 -5.7 2.2 0
AUBD UNKNOWN SHP 54 6.1 1.5 15
C6IA7 UNKNOWN SHP 35 5.1 2.4 0
D5QV7 MINERAL HONSHU SHP 43 6.1 3.9 1
H3JW UNKNOWN SHP 29 4.1 1.5 0
HBLLCVS UNKNOWN SHP 43 -4.6 2.3 0
LAHV UNKNOWN SHP 105 4.2 4.8 19
ONKJ LA SELVA SHP 22 -11.5 3.1 9
OZIB2 MAERSK LONDRINA SHP 23 4.4 1.0 0
SBPQ UNKNOWN SHP 57 4.7 3.6 3
SBPT UNKNOWN SHP 93 4.4 3.7 0
UCKZ UNKNOWN SHP 60 4.5 4.0 10
V7A4788 MARLIN HESTIA SHP 116 -4.7 2.8 0
V7VR3 MATSON LANAI SHP 21 4.0 2.1 0
VQFS4 EVER ETHIC SHP 18 -7.1 4.6 2
VRFJ6 UNKNOWN SHP 20 -4.3 2.3 0
WBP3210 NATHANIEL B. PALMER (AWS) SHP 1007 7.4 3.6 271
WDG7520 SIKULIAQ (AWS) SHP 0 0.0 0.0 136
WDN7246 SIKULIAQ (AWS) SHP 161 0.6 0.1 70
WRJP R J PFEIFFER SHP 24 6.2 1.7 0
ZNB UNKNOWN SHP 53 4.1 1.1 0
ELFA2 UNKNOWN CMN 7334 5.7 2.5 0
RLOT2 UNKNOWN CMN 7325 7.6 2.6 0
APAM2 UNKNOWN TG 1336 1.6 6.0 3
CARL1 UNKNOWN TG 559 -4.4 4.2 84
CHCM2 UNKNOWN TG 1462 0.0 6.1 12
CRVA2 UNKNOWN TG 1437 7.6 3.1 48
ELFA2 UNKNOWN TG 1487 5.7 2.4 0
HIST2 UNKNOWN TG 1488 6.1 2.8 0
ITKA2 UNKNOWN TG 1487 5.4 2.3 0
NCDV2 UNKNOWN TG 1476 -0.8 6.0 12
NMTA2 UNKNOWN TG 479 9.3 4.7 1008
PEGF1 UNKNOWN TG 1488 5.0 3.0 0
PILL1 UNKNOWN TG 1484 -8.9 2.2 0
PMOA2 UNKNOWN TG 1488 4.5 2.3 0
PNLM4 UNKNOWN TG 1453 4.5 4.6 35
PRDA2 UNKNOWN TG 225 11.2 4.2 1242
PSTL1 UNKNOWN TG 1487 -8.3 2.6 0
RDDA2 UNKNOWN TG 647 10.3 3.3 836
RLOT2 UNKNOWN TG 1427 7.6 2.6 0
SHBL1 UNKNOWN TG 1488 -4.2 3.2 0
SKTA2 UNKNOWN TG 1208 8.4 3.3 275
SWLA2 UNKNOWN TG 1237 8.5 2.7 249
VDZA2 UNKNOWN TG 1298 8.8 3.3 189
WAHV2 UNKNOWN TG 1454 4.5 1.9 0
YATA2 UNKNOWN TG 1485 5.9 2.4 0
46181 FB 738 7.1 2.8 6
23099 DB 237 -0.2 6.8 7
TOTAL NUMBER OF OBSERVATIONS FOR MARCH 2025 (EXCLUDING DUPLICATES
AND THOSE FROM CALLSIGN 'SHIP') WAS 1944765. TOTAL NUMBER OF
OBSERVATIONS FROM CALLSIGN 'SHIP' (EXCLUDING DUPLICATES) WAS 41.
TOTAL NUMBER OF IDS WAS 2598.
