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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
APRIL 2025
SEA-LEVEL PRESSURE FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
3E3566 UNKNOWN SHP 40 5.8 1.1 0
3E5049 UNKNOWN SHP 70 8.6 2.4 8
3EBY2 UNKNOWN SHP 12 13.5 1.1 19
3FWH8 EVER LOTUS SHP 47 5.5 4.1 0
3FZI8 MSC SPLENDIDA SHP 50 4.6 2.1 0
7KKU UNKNOWN SHP 77 -4.1 1.0 0
7KOA UNKNOWN SHP 37 5.5 1.5 0
9HA3062 MEIN SCHIFF 3 SHP 56 -4.9 0.7 0
9HA4638 MSC SEASIDE SHP 40 8.8 4.5 5
9HA4648 UNKNOWN SHP 77 5.0 2.7 0
9HA4972 CMA CGM LYRA SHP 25 -5.3 2.1 0
9HA5209 MSC VIRTUOSA SHP 416 8.0 3.1 12
9HA5370 MSC SEASHORE SHP 30 6.8 1.5 0
9HA5682 MSC WORLD EUROPA SHP 201 -5.0 3.5 2
9HA5823 EXPLORA 1 SHP 297 6.4 3.4 2
9HA5976 UNKNOWN SHP 123 6.1 1.8 1
9HJB9 CELEBRITY CONSTELLATION SHP 93 4.0 1.6 1
9HSJ7 DISHA SHP 115 6.0 1.7 0
9V2728 SUNSTAR SHP 48 4.9 1.6 0
9V3912 KN AMETHYST SHP 694 5.8 3.3 0
9V5243 MAERSK SEVILLE SHP 35 6.0 3.3 0
9V5247 MAERSK SOPHIA SHP 49 4.5 1.4 0
9V7629 EVER MAST SHP 84 5.6 2.8 2
9V7659 UNKNOWN SHP 33 5.9 1.1 0
9V7681 KN FOREST SHP 89 5.7 1.7 0
9V8372 UNKNOWN SHP 40 4.7 1.5 0
ATAT2 UNKNOWN SHP 24 2.0 2.3 20
AUBT JAG PANKHI SHP 0 0.0 0.0 58
AUTP DESH VISHAL SHP 32 6.2 1.4 0
AVBF DESH MAHIMA SHP 21 9.0 1.5 0
AVWF DESH SHOBHA SHP 38 11.9 1.7 9
BKIE EVER LIVEN SHP 19 7.6 2.6 4
C6AP3 PEGASUS VOYAGER SHP 21 4.0 2.2 0
C6EO5 CANOPUS VOYAGER SHP 33 9.1 1.3 0
C6FB3 NORWEGIAN PRIMA SHP 32 -5.9 2.5 1
C6FJ9 NORWEGIAN VIVA SHP 33 -5.7 3.0 0
D5AD8 TIRUA SHP 55 12.1 1.4 4
D5LH3 ANTIPAROS SHP 34 6.2 1.8 0
JMVS UNKNOWN SHP 27 4.5 1.5 0
JPTX UNKNOWN SHP 39 6.5 0.9 0
JWR4PHH UNKNOWN SHP 29 -5.2 1.6 0
KUL7SEK UNKNOWN SHP 72 4.5 1.1 0
LAQL7 STAR LOFOTEN SHP 62 4.7 1.4 0
LAVN4 STAR HIDRA SHP 92 5.0 2.6 1
ONKJ LA SELVA SHP 31 4.9 0.9 0
ONLW UNKNOWN SHP 68 7.1 1.8 0
S6AN5 MAERSK COLOMBO SHP 76 6.1 1.6 0
S6CH6 MAERSK SEMAKAU SHP 62 4.4 1.5 0
TNVXRHV UNKNOWN SHP 38 -5.7 1.1 0
UBAU UNKNOWN SHP 0 0.0 0.0 49
UBRW UNKNOWN SHP 53 -5.4 4.3 0
V7A4788 MARLIN HESTIA SHP 183 4.2 5.7 1
V7A6073 STI MIRACLE SHP 49 5.6 1.6 0
V7A6081 STI MYSTERY SHP 196 6.4 1.6 0
V7A6497 PASCAGOULA VOYAGER SHP 34 5.2 2.0 0
V7A6509 GLASGOW VOYAGER SHP 31 8.8 3.7 0
V7DI9 STI SLOANE SHP 25 6.0 1.6 0
V7QK9 SEVEN SEAS EXPLORER SHP 109 4.7 2.3 4
V7QT7 UNKNOWN SHP 37 4.5 1.4 0
V7WS6 FEDERAL SWIFT SHP 21 5.9 2.1 0
VABC ALGOMA INTREPID SHP 58 7.7 3.2 1
VRDW2 UNKNOWN SHP 98 -4.4 1.3 0
VRFS2 UNKNOWN SHP 29 7.5 3.5 0
VRID2 UNKNOWN SHP 58 4.9 2.1 0
VRLA6 MINERAL CLOUDBREAK SHP 75 8.9 1.4 0
VRLJ4 UNKNOWN SHP 20 4.5 2.2 0
VROB9 SEASPAN BEACON SHP 43 6.6 2.8 0
VROC3 YM WISH SHP 120 5.5 1.9 1
VRPP5 ORIENTAL JUBILEE SHP 54 5.4 1.0 0
VRQL9 UNKNOWN SHP 24 7.5 2.9 0
VRQS3 UNKNOWN SHP 20 7.7 3.0 0
VRTO4 PARIS EXPRESS SHP 25 9.3 1.4 0
VRUN2 ZIM USA SHP 96 4.1 1.0 0
VRUN6 ONE PARANA SHP 23 11.0 1.2 0
VRVO5 GUNHILDE MAERSK SHP 54 5.3 2.4 2
VRVP3 GUSTAV MAERSK SHP 32 4.8 0.8 0
VRWA8 UNKNOWN SHP 29 -4.1 0.9 0
WMKQ MAERSK KANSAS SHP 25 -5.3 0.5 0
ZBZA5GS UNKNOWN SHP 37 -5.5 1.3 0
ZGFY4 CAJUN SUN SHP 35 -8.9 1.3 0
45014 FB 0 0.0 0.0 300
APRIL 2025
AIR TEMPERATURE FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
3FAR9 UNKNOWN SHP 27 5.2 2.8 0
9HA4648 UNKNOWN SHP 77 5.0 2.5 0
9V5243 MAERSK SEVILLE SHP 35 6.9 2.1 0
9V6972 HYPERION SHP 23 4.1 2.5 1
9V9400 APL SALALAH SHP 71 4.1 1.7 0
ALBARO UNKNOWN SHP 30 4.7 1.6 0
AVBF DESH MAHIMA SHP 21 4.9 1.7 0
AZAN2YQ UNKNOWN SHP 27 5.8 2.7 0
C6YM7 SONANGOL BENGUELA SHP 54 4.1 2.1 0
V7DI9 STI SLOANE SHP 25 4.3 2.3 0
VRCB4 UNKNOWN SHP 31 4.7 3.5 0
VRCR9 SEASPAN RIO DE JANEIRO SHP 25 4.0 1.6 0
VRJS2 UNKNOWN SHP 26 4.5 3.0 0
VROO4 UNKNOWN SHP 87 5.4 2.8 0
VROO6 YM WORTH SHP 61 4.3 2.8 0
VRVO6 UNKNOWN SHP 50 4.4 2.8 0
VRZK8 UNKNOWN SHP 20 4.5 2.2 0
WBP3210 NATHANIEL B. PALMER (AWS) SHP 674 2.1 1.4 694
WDG7520 SIKULIAQ (AWS) SHP 3 4.3 0.2 112
WTEG NOAA REUBEN LASKER (AWS) SHP 215 12.3 2.2 178
PRDA2 UNKNOWN TG 1424 9.9 2.0 12
WYCM6 UNKNOWN TG 1433 5.1 1.5 0
42022 FB 1392 5.2 1.8 0
45199 FB 771 -4.9 2.9 0
46147 FB 385 4.5 4.0 116
46206 FB 648 10.0 3.7 71
APRIL 2025
WIND DIRECTION FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
2LZ9L7X UNKNOWN SHP 27 34.7 14.4 0
3AQQXHY UNKNOWN SHP 44 1.4 42.7 17
3E2429 UNKNOWN SHP 29 128.0 36.5 11
3E5049 UNKNOWN SHP 70 40.3 37.1 9
3EBY2 UNKNOWN SHP 19 17.5 40.6 12
3FAR9 UNKNOWN SHP 22 -48.2 41.6 5
3FAZ9 UNKNOWN SHP 19 -131.8 42.4 2
3FEM7 UNKNOWN SHP 19 -31.1 29.9 2
3FTM8 UNKNOWN SHP 97 -31.8 37.4 10
3FZI8 MSC SPLENDIDA SHP 32 -59.5 47.6 18
3URHFMG UNKNOWN SHP 24 37.3 17.8 0
3URK8QU UNKNOWN SHP 63 -3.9 47.0 21
3WH466J UNKNOWN SHP 21 29.6 47.2 9
4ANFBRL UNKNOWN SHP 26 -39.6 21.1 1
4FYMDBT UNKNOWN SHP 40 -109.8 8.8 2
5LUD4 UNKNOWN SHP 10 -124.8 39.6 34
5MGXH3D UNKNOWN SHP 30 135.1 13.2 2
5QQQVZL UNKNOWN SHP 23 9.3 30.7 10
5WUJ24E UNKNOWN SHP 31 110.8 17.0 3
6201065 UNKNOWN SHP 100 159.5 18.0 6
6BVFMWP UNKNOWN SHP 24 -166.6 33.0 5
6YDVKBY UNKNOWN SHP 78 0.2 42.7 26
7KIY UNKNOWN SHP 39 -33.6 33.6 5
7KJY UNKNOWN SHP 49 -105.0 0.2 2
7KKS UNKNOWN SHP 19 -105.8 2.8 2
7KMV UNKNOWN SHP 55 -91.8 11.7 1
7MHELEB UNKNOWN SHP 38 -85.8 0.4 0
7VCSW9W UNKNOWN SHP 19 158.4 20.1 2
9FV386K UNKNOWN SHP 62 -55.9 44.2 14
9HA2006 ASEEM SHP 32 11.0 38.4 11
9HA5180 APL SENTOSA SHP 69 117.9 4.2 2
9HJF9 CELEBRITY MILLENNIUM SHP 10 -96.8 51.7 10
9M3466 UNKNOWN SHP 12 129.2 50.4 11
9V2728 SUNSTAR SHP 23 33.5 31.2 5
9V3912 KN AMETHYST SHP 520 -46.6 45.0 174
9V3913 KN ARCADIA SHP 389 -7.0 49.8 172
9V5243 MAERSK SEVILLE SHP 30 -37.5 30.5 5
9V5250 UNKNOWN SHP 28 -92.7 12.6 1
9V6623 ECLIPSE SHP 30 -83.8 56.9 27
9V7629 EVER MAST SHP 82 161.4 26.3 4
9V7977 EVER FORWARD SHP 19 31.0 31.6 1
9V8048 UNKNOWN SHP 31 14.1 47.4 26
9V8838 MAERSK VARNA SHP 37 35.1 33.6 5
9V9288 EVER LAWFUL SHP 43 37.5 20.0 1
9VFV5 MAERSK ALGOL SHP 38 143.0 5.0 3
AHM59XC UNKNOWN SHP 26 85.9 6.0 0
AKNQJ6N UNKNOWN SHP 46 134.9 33.4 8
ALBARO UNKNOWN SHP 28 -124.7 6.7 2
AMOHK02 UNKNOWN SHP 121 -23.3 51.1 66
ATAT2 UNKNOWN SHP 33 -105.9 21.5 11
AUBD UNKNOWN SHP 74 -38.1 33.3 8
AUBT JAG PANKHI SHP 32 20.1 41.1 28
AUTP DESH VISHAL SHP 28 37.7 32.1 4
AUTV DESH VIRAAT SHP 21 -180.0 51.0 12
AVBF DESH MAHIMA SHP 11 20.3 34.2 10
AVWF DESH SHOBHA SHP 34 5.7 45.4 13
AWWB NANDA DEVI SHP 27 159.1 50.5 19
BATFR04 UNKNOWN SHP 36 -153.8 11.5 2
BKIE EVER LIVEN SHP 17 8.3 37.8 6
C6EI4 ARTEMIS VOYAGER SHP 44 48.2 40.4 9
C6IA7 UNKNOWN SHP 39 99.4 7.7 1
C6VV8 SEVEN SEAS MARINER SHP 93 55.3 47.7 19
C6YM5 SONANGOL ETOSHA SHP 29 173.2 6.5 2
C6ZJ3 NORWEGIAN BREAKAWAY SHP 24 -6.1 51.3 29
CFJ8305 ALGOMA STRONGFIELD SHP 143 -95.4 15.0 1
CGF6VCT UNKNOWN SHP 23 -23.1 35.0 23
CSEWDHY UNKNOWN SHP 23 157.2 0.6 2
D5AD8 TIRUA SHP 57 96.7 11.7 2
D5VW4 MINERAL SUBIC SHP 16 -25.3 36.4 6
DDGR99J UNKNOWN SHP 58 -4.6 45.4 21
DJAZ2 UNKNOWN SHP 32 84.3 1.7 0
EUCFR05 UNKNOWN SHP 33 42.6 42.1 6
EVH28KM UNKNOWN SHP 54 142.1 31.0 6
GNJ7EFP UNKNOWN SHP 84 9.8 25.8 34
GRWJJJB UNKNOWN SHP 34 90.4 6.5 0
H3FV MSC OPERA SHP 26 -33.0 45.5 17
HAY34MT UNKNOWN SHP 17 57.0 48.0 9
JMVS UNKNOWN SHP 26 -34.0 25.5 1
JMVY UNKNOWN SHP 91 114.2 1.2 2
KAOU ROGER REVELLE (AWS) SHP 294 -88.5 48.6 165
KER7UNY UNKNOWN SHP 30 99.4 9.5 1
LAHR7 STAR KIRKENES SHP 366 32.3 39.6 88
MEDZ7 HYUNDAI NEPTUNE SHP 23 -22.3 36.7 8
MERFR09 UNKNOWN SHP 86 -0.1 47.1 32
MERFR14 UNKNOWN SHP 13 -164.2 42.3 29
N261 UNKNOWN SHP 651 38.9 40.0 67
ONKD MINERAL HOPE SHP 33 -5.3 34.5 12
ONKF UNKNOWN SHP 26 -35.2 34.3 3
OYGM2 GERD MAERSK SHP 57 109.4 17.0 2
PQS7KJB UNKNOWN SHP 55 -42.3 38.8 9
RYPU8UL UNKNOWN SHP 54 67.5 39.2 14
S6AN5 MAERSK COLOMBO SHP 48 85.2 44.3 29
TAKFBTD UNKNOWN SHP 24 -33.5 19.0 0
TEPWR4U UNKNOWN SHP 20 -164.1 40.2 18
TTXRR5H UNKNOWN SHP 32 17.1 46.5 12
UBAU UNKNOWN SHP 24 -149.1 50.9 25
UBRI5 UNKNOWN SHP 15 -6.2 31.0 5
UEMM UNKNOWN SHP 20 33.9 34.8 4
UGYU UNKNOWN SHP 30 -30.5 37.2 2
UWBLUHB UNKNOWN SHP 44 -34.1 23.2 1
UYBWCVN UNKNOWN SHP 313 32.5 34.9 42
V7A6419 HOUSTON VOYAGER SHP 118 -137.2 1.7 2
V7A6440 RICHMOND VOYAGER SHP 34 -150.0 12.1 2
V7DJ7 STI CONNAUGHT SHP 94 45.4 40.7 9
V7HH2 STI GALLANTRY SHP 21 -37.2 40.3 7
V7KD8 SBI RUMBA SHP 40 -30.4 32.0 3
V7QS7 UNKNOWN SHP 21 2.4 31.2 7
V7TN8 UNKNOWN SHP 26 56.8 27.2 3
V7TO3 UNKNOWN SHP 22 -33.2 20.1 1
V7UT9 SEAWAYS RIO GRANDE SHP 19 163.2 9.5 2
V7WS6 FEDERAL SWIFT SHP 18 138.3 3.6 3
VCPK RADCLIFF R. LATIMER (AWS) SHP 1019 -9.9 53.5 599
VDAS ALGOMA INNOVATOR (AWS) SHP 211 40.7 41.7 35
VR007 UNKNOWN SHP 19 -33.4 25.3 1
VRCU7 UNKNOWN SHP 26 98.7 14.5 3
VRFI7 UNKNOWN SHP 68 -14.9 41.8 27
VRFS2 UNKNOWN SHP 27 -30.9 30.3 2
VRFU8 UNKNOWN SHP 26 49.5 40.0 5
VRGO3 UNKNOWN SHP 39 39.1 37.4 5
VRIB3 UNKNOWN SHP 18 35.5 31.8 2
VRJS2 UNKNOWN SHP 23 -120.3 16.6 3
VRMD3 MAERSK VIRGINIA SHP 22 175.7 34.6 6
VRNR6 UNKNOWN SHP 32 54.1 45.0 8
VRQL9 UNKNOWN SHP 22 168.4 16.2 2
VRVJ5 UNKNOWN SHP 21 37.8 34.1 3
VRVO3 GERNER MAERSK SHP 67 -101.2 3.2 2
VRVP3 GUSTAV MAERSK SHP 30 101.4 1.9 1
VRVQ9 UNKNOWN SHP 10 -20.4 39.0 10
VRWC8 UNKNOWN SHP 16 -61.0 48.5 6
VRWK9 UNKNOWN SHP 19 -49.4 32.0 3
VRZK8 UNKNOWN SHP 17 119.5 6.9 3
WCX2417 AMERICAN SPIRIT SHP 24 37.3 40.0 6
WDE6486 MEDEIA SHP 458 -40.2 32.2 44
WDE7804 KESTREL SHP 655 1.9 49.6 247
WDJ4194 CLYDE S. VANENKEVORT SHP 20 -43.3 46.4 2
WDK5676 HUBBARD SHP 1130 -16.3 45.2 378
WDK8035 STEADFAST SHP 434 -53.9 43.5 141
WDL5596 POLAR CLOUD SHP 20 -32.9 35.0 4
WLZ9WHS UNKNOWN SHP 26 31.2 32.5 4
WQZ7791 AMERICAN MARINER SHP 27 6.1 39.4 9
WRTF POLAR ENTERPRISE SHP 52 92.0 11.6 1
WXU3434 WALTER J. MCCARTHY JR. SHP 20 41.5 42.3 4
WYM9567 AURORA SHP 1170 -13.7 48.1 439
WZ3423 TIGLAX SHP 497 53.0 49.0 185
WZD2465 H. LEE WHITE SHP 82 -24.5 33.1 30
XCCB4 UNKNOWN SHP 17 -8.5 26.2 6
XCCF3 UNKNOWN SHP 22 -52.1 40.8 5
YTEAPAS UNKNOWN SHP 30 117.8 0.5 2
ZNZH6 EVER EAGLE SHP 27 8.5 48.3 12
ACXS1 UNKNOWN CMN 1996 -10.9 36.8 855
AJXA2 UNKNOWN CMN 3639 -47.2 44.0 630
ANMN6 UNKNOWN CMN 2111 -17.3 46.9 704
BABT2 UNKNOWN CMN 6808 -34.0 17.1 199
BIGM4 UNKNOWN CMN 3045 1.7 39.2 1275
BLIA2 UNKNOWN CMN 982 -0.9 50.1 431
CPXC1 UNKNOWN CMN 4903 11.9 52.2 2944
CSPA2 UNKNOWN CMN 638 -42.0 32.6 57
ELXC1 UNKNOWN CMN 2124 13.9 46.8 736
FPTM4 UNKNOWN CMN 126 -116.2 0.0 21
GEXA2 UNKNOWN CMN 3759 -48.4 38.2 529
GSLM4 UNKNOWN CMN 459 -48.3 37.5 58
GUXA2 UNKNOWN CMN 3081 -15.2 47.6 1226
HAXA2 UNKNOWN CMN 3277 -33.6 43.1 1030
HMRA2 UNKNOWN CMN 2210 59.7 45.7 651
ILOH1 UNKNOWN CMN 4975 70.4 49.1 1911
JCRN4 UNKNOWN CMN 2553 -57.5 30.0 307
KEXA2 UNKNOWN CMN 3023 -3.0 44.7 1279
LIXA2 UNKNOWN CMN 2886 -3.0 42.1 1411
MRKA2 UNKNOWN CMN 901 -3.3 50.9 529
MRNA2 UNKNOWN CMN 3003 -11.6 43.9 1271
MRYA2 UNKNOWN CMN 2831 5.8 52.0 1467
MVXA2 UNKNOWN CMN 3440 55.4 47.3 859
MXXA2 UNKNOWN CMN 3664 -59.9 38.5 627
NAXR1 UNKNOWN CMN 2324 77.8 31.5 528
NPDW3 UNKNOWN CMN 1020 -74.4 40.4 369
PBFW1 UNKNOWN CMN 1842 17.8 43.0 854
PBPA2 UNKNOWN CMN 481 -89.6 51.2 218
PCNT2 UNKNOWN CMN 6800 -46.2 22.9 207
POTA2 UNKNOWN CMN 878 -9.3 53.4 559
PRTA2 UNKNOWN CMN 494 0.7 44.3 202
PTLA2 UNKNOWN CMN 3110 -18.6 46.4 1193
RTAT2 UNKNOWN CMN 6811 -32.5 21.3 192
SCXA2 UNKNOWN CMN 3827 -43.4 35.7 433
SFXC1 UNKNOWN CMN 1163 46.4 38.5 124
SHXA2 UNKNOWN CMN 3176 64.1 46.4 1126
SISW1 UNKNOWN CMN 2589 152.7 48.7 1719
SKXA2 UNKNOWN CMN 3611 36.3 39.4 687
SLVM5 UNKNOWN CMN 2567 -100.6 39.9 1930
STXA2 UNKNOWN CMN 2873 -19.7 49.8 1433
SVNM4 UNKNOWN CMN 1539 -35.1 37.5 359
TCMW1 UNKNOWN CMN 4717 12.1 50.5 2300
TIBC1 UNKNOWN CMN 2023 -68.2 49.6 855
TKEA2 UNKNOWN CMN 2775 -7.9 47.3 1531
WHRI2 UNKNOWN CMN 1170 -30.7 35.5 239
WKXA1 UNKNOWN CMN 1892 3.6 31.9 960
WPOW1 UNKNOWN CMN 477 61.6 53.0 243
YRSV2 UNKNOWN CMN 2051 -15.3 38.8 715
ANPT2 UNKNOWN TG 1399 -46.5 20.1 41
ANTA2 UNKNOWN TG 728 -96.8 50.8 708
BABT2 UNKNOWN TG 1402 -34.8 17.3 33
BMTW1 UNKNOWN TG 643 -180.0 53.6 797
BUFN6 UNKNOWN TG 1263 -31.2 32.5 171
CECC1 UNKNOWN TG 987 65.9 51.7 453
CPMW1 UNKNOWN TG 1263 42.4 41.1 174
CPNW1 UNKNOWN TG 1271 41.3 41.1 161
CRVA2 UNKNOWN TG 994 -78.3 49.5 444
FTPC1 UNKNOWN TG 1337 -36.1 32.8 103
ICAC1 UNKNOWN TG 838 26.7 41.2 316
ILOH1 UNKNOWN TG 740 74.5 51.0 314
KECA2 UNKNOWN TG 967 -6.3 48.5 473
KLIH1 UNKNOWN TG 1008 -17.3 39.1 432
LAPW1 UNKNOWN TG 935 -3.1 41.2 319
MBET2 UNKNOWN TG 1407 31.2 24.0 33
MGIP4 UNKNOWN TG 1335 -32.0 34.5 105
MGZP4 UNKNOWN TG 1069 -18.9 46.2 371
MZXC1 UNKNOWN TG 1325 33.3 34.4 115
NCHT2 UNKNOWN TG 1367 42.6 25.2 67
NMTA2 UNKNOWN TG 1058 0.2 44.8 382
NTBC1 UNKNOWN TG 900 -18.2 52.5 523
NWWH1 UNKNOWN TG 1225 -38.7 34.5 214
OBGN6 UNKNOWN TG 1306 51.0 35.7 134
OKXC1 UNKNOWN TG 223 33.1 33.2 13
PACT2 UNKNOWN TG 1374 -33.8 15.9 61
PCNT2 UNKNOWN TG 1311 -47.3 22.4 45
PILL1 UNKNOWN TG 1363 31.1 27.6 77
PLXA2 UNKNOWN TG 724 -4.3 45.5 716
PORO3 UNKNOWN TG 791 -6.2 46.8 488
PRHH1 UNKNOWN TG 1070 -31.6 41.4 370
PSBC1 UNKNOWN TG 1233 59.8 31.6 207
PSLC1 UNKNOWN TG 1027 74.0 51.2 413
PTWW1 UNKNOWN TG 1044 -73.8 55.2 396
RDDA2 UNKNOWN TG 1016 5.7 42.5 419
RTAT2 UNKNOWN TG 1403 -37.3 21.2 37
RTYC1 UNKNOWN TG 985 18.0 49.0 440
SDRT2 UNKNOWN TG 1378 -34.0 22.9 48
TCMW1 UNKNOWN TG 967 13.6 50.2 473
VDZA2 UNKNOWN TG 744 96.1 56.8 696
41040 FB 4278 -90.3 7.1 1
41047 FB 731 -87.3 4.5 0
42058 FB 4311 81.1 0.0 0
42067 FB 3080 65.8 49.0 1162
45029 FB 2934 -63.5 34.7 503
45139 FB 82 -10.9 36.6 38
45159 FB 104 -117.8 24.2 17
45219 FB 108 -47.6 13.0 35
46022 FB 3077 7.6 38.4 1231
46027 FB 2536 0.5 44.9 1770
46054 FB 4047 32.6 31.6 259
46060 FB 464 -1.3 48.1 254
46087 FB 3222 61.2 47.9 1089
46088 FB 2760 12.8 51.5 1546
46092 FB 280 111.7 50.9 437
46122 FB 1062 96.1 54.4 1124
46123 FB 1255 80.3 51.5 620
46146 FB 425 88.6 51.6 292
46181 FB 617 -42.6 44.9 103
51002 FB 4310 -90.0 0.0 0
51004 FB 4311 80.4 0.0 0
62140 FB 46 177.1 43.7 75
23003 DB 204 -102.0 12.3 69
23013 DB 96 -113.4 35.0 126
23016 DB 296 -35.2 24.1 12
23091 DB 60 170.7 50.7 93
23092 DB 96 -155.2 48.0 144
23491 DB 419 -6.3 44.0 161
23497 DB 94 -168.3 50.7 138
APRIL 2025
WIND SPEED FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
3FZI8 MSC SPLENDIDA SHP 46 5.8 4.5 4
AMOHK02 UNKNOWN SHP 0 0.0 0.0 187
C6DL4 NORWEGIAN BLISS SHP 239 5.3 3.6 7
C6FJ9 NORWEGIAN VIVA SHP 33 5.9 2.9 0
C6TX6 NORWEGIAN JEWEL SHP 108 5.3 4.0 0
S6AN5 MAERSK COLOMBO SHP 77 6.5 3.7 0
44078 FB 2890 -6.4 4.6 73
APRIL 2025
SEA SURFACE TEMP. FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
32ST0 UNKNOWN SHP 107 -4.5 0.2 0
9HA4902 MSC BELLISSIMA SHP 24 -4.2 4.5 0
9HA5370 MSC SEASHORE SHP 30 -5.1 2.2 0
9V5250 UNKNOWN SHP 29 4.8 2.4 0
9VFV5 MAERSK ALGOL SHP 41 4.4 0.9 0
ALBARO UNKNOWN SHP 30 -5.7 1.2 0
AUBD UNKNOWN SHP 80 5.6 1.4 0
C6E04 UNKNOWN SHP 39 -4.5 4.7 0
HBLLCVS UNKNOWN SHP 39 -4.9 2.1 0
LAHV UNKNOWN SHP 116 4.5 3.8 4
MERFR09 UNKNOWN SHP 93 5.8 4.0 26
ONKJ LA SELVA SHP 18 -12.6 2.5 13
OYGM2 GERD MAERSK SHP 59 4.0 0.9 0
V7A4788 MARLIN HESTIA SHP 168 -4.9 2.6 0
V7NK3 FEDERAL CHURCHILL SHP 28 -8.7 6.1 2
VRTU5 NYSTED MAERSK SHP 95 5.2 1.5 0
WDG7520 SIKULIAQ (AWS) SHP 44 0.5 0.3 68
WDJ5261 CLAYTON ARTHUR SHP 55 5.9 2.1 0
WRJP R J PFEIFFER SHP 27 5.8 1.9 0
ZNB UNKNOWN SHP 105 4.0 1.0 0
ELFA2 UNKNOWN CMN 6989 4.9 1.7 0
RLOT2 UNKNOWN CMN 652 8.2 2.8 0
BKTL1 UNKNOWN TG 1379 4.7 5.5 60
CRVA2 UNKNOWN TG 1438 4.9 1.9 0
ELFA2 UNKNOWN TG 1440 4.8 1.8 0
FAIO1 UNKNOWN TG 1439 6.0 1.8 0
HIST2 UNKNOWN TG 518 7.8 2.8 0
ITKA2 UNKNOWN TG 1440 4.8 2.2 0
NMTA2 UNKNOWN TG 255 7.8 4.5 319
PEGF1 UNKNOWN TG 1418 5.2 2.0 0
PILL1 UNKNOWN TG 1437 -4.5 1.0 0
PRDA2 UNKNOWN TG 1150 9.6 2.8 272
RDDA2 UNKNOWN TG 933 6.5 5.0 502
RLOT2 UNKNOWN TG 98 7.6 2.7 0
SKTA2 UNKNOWN TG 1440 6.8 3.0 0
SWLA2 UNKNOWN TG 1379 7.5 2.2 60
THRO1 UNKNOWN TG 444 1.7 6.0 0
TRDF1 UNKNOWN TG 929 4.2 3.6 0
VDZA2 UNKNOWN TG 1416 6.4 2.3 24
WAHV2 UNKNOWN TG 1427 5.0 2.6 0
YATA2 UNKNOWN TG 1439 4.3 1.6 0
45012 FB 707 -4.8 2.8 0
45139 FB 108 -5.5 4.7 12
45159 FB 109 -5.2 4.4 12
46181 FB 714 6.2 4.0 6
46266 FB 1437 -1.2 6.2 3
46274 FB 1429 -1.3 6.5 11
TOTAL NUMBER OF OBSERVATIONS FOR APRIL 2025 (EXCLUDING DUPLICATES
AND THOSE FROM CALLSIGN 'SHIP') WAS 1906658. TOTAL NUMBER OF
OBSERVATIONS FROM CALLSIGN 'SHIP' (EXCLUDING DUPLICATES) WAS 10.
TOTAL NUMBER OF IDS WAS 2510.
