| 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
FEBRUARY 2025
SEA-LEVEL PRESSURE FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
3EBY2 UNKNOWN SHP 14 11.6 3.0 10
3FAR9 UNKNOWN SHP 27 -4.6 1.8 0
3FIL MAERSK ENSHI SHP 20 10.8 1.2 0
3FOA6 MSC PREZIOSA SHP 63 4.4 2.1 0
3FZI8 MSC SPLENDIDA SHP 54 5.7 2.7 0
7JZJ ORION LEADER SHP 34 -4.6 2.0 1
7KAS UNKNOWN SHP 97 4.1 2.2 1
9HA3062 MEIN SCHIFF 3 SHP 77 -5.0 0.7 0
9HA3858 MEIN SCHIFF 5 SHP 88 -4.1 1.7 0
9HA4638 MSC SEASIDE SHP 72 7.1 2.8 2
9HA4648 UNKNOWN SHP 56 4.3 3.9 0
9HA4970 CMA CGM T. JEFFERSON SHP 33 -5.7 1.7 0
9HA5180 APL SENTOSA SHP 59 6.1 1.0 0
9HA5209 MSC VIRTUOSA SHP 579 9.6 2.2 59
9HA5370 MSC SEASHORE SHP 118 7.0 2.9 1
9HA5823 EXPLORA 1 SHP 99 7.6 1.5 0
9HJB9 CELEBRITY CONSTELLATION SHP 89 4.4 1.4 0
9HSJ7 DISHA SHP 24 7.3 2.3 0
9V3736 UNKNOWN SHP 67 7.5 1.8 0
9V3913 KN ARCADIA SHP 316 2.0 6.8 11
9V5243 MAERSK SEVILLE SHP 92 5.4 1.5 0
9V5247 MAERSK SOPHIA SHP 63 5.1 1.1 0
9V6459 MAERSK AMAZON SHP 67 4.2 1.3 0
9V7629 EVER MAST SHP 84 4.5 3.1 2
9V7650 UNKNOWN SHP 230 7.5 2.6 6
9V7980 EVER FRANK SHP 92 5.4 2.7 1
9VFV4 MAERSK TAURUS SHP 47 4.5 2.5 0
9VHF2 MAERSK BATAM SHP 64 9.0 2.5 0
9VHK7 MAERSK ANTARES SHP 25 -6.7 1.7 0
A9LV SEAPEAK BAHRAIN SHP 27 10.1 1.2 1
ATAH2 APJ SETHU SHP 28 -11.7 1.5 0
AWXA APJ ANGAD 2 SHP 23 -11.8 1.1 0
BKIE EVER LIVEN SHP 27 9.9 1.3 0
C6DL4 NORWEGIAN BLISS SHP 137 -4.1 1.6 0
C6ED5 CARIBBEAN VOYAGER SHP 56 5.0 2.0 0
C6EI3 APOLLO VOYAGER SHP 49 4.5 2.2 0
C6EO5 CANOPUS VOYAGER SHP 46 5.9 1.7 0
C6FJ9 NORWEGIAN VIVA SHP 74 -5.1 1.2 0
C6IA9 UNKNOWN SHP 36 6.5 1.3 0
C6TX6 NORWEGIAN JEWEL SHP 216 4.8 1.6 0
D5AD7 TOLTEN SHP 36 4.0 1.8 0
D5AD8 TIRUA SHP 56 11.0 1.3 0
D5LH3 ANTIPAROS SHP 65 6.2 1.4 0
D5QV7 MINERAL HONSHU SHP 39 -4.7 2.0 0
H8EW MSC ARMONIA SHP 37 4.5 2.7 0
HOPW MSC LIRICA SHP 150 -4.5 2.3 0
JPTX UNKNOWN SHP 112 6.4 1.3 0
LAQL7 STAR LOFOTEN SHP 39 5.4 1.2 0
MVNXQEB UNKNOWN SHP 31 -4.0 1.7 0
ONLU MINERAL DEUTSCHLAND SHP 38 -9.9 1.1 0
OUHC2 COLUMBINE MAERSK SHP 29 6.8 1.2 0
OUMR2 NAVIGARE GENEROSA SHP 62 6.7 1.5 0
OXBB2 UNKNOWN SHP 48 4.2 1.0 0
TNVXRHV UNKNOWN SHP 53 -5.2 1.0 1
V7A4788 MARLIN HESTIA SHP 160 9.6 3.3 12
V7A5254 MARLIN LA PLATA SHP 564 4.1 5.6 6
V7A6073 STI MIRACLE SHP 73 5.5 1.7 0
V7A6440 RICHMOND VOYAGER SHP 66 5.0 1.4 0
V7A6497 PASCAGOULA VOYAGER SHP 40 5.8 1.0 0
V7PQ5 SEAPEAK ARWA SHP 25 4.1 1.6 0
V7WS8 FEDERAL SEVERN SHP 23 4.3 2.3 0
VRCY7 UNKNOWN SHP 52 6.4 2.7 1
VRDW2 UNKNOWN SHP 111 -4.8 0.9 1
VRFS2 UNKNOWN SHP 25 -5.7 3.0 0
VRIB2 UNKNOWN SHP 33 7.2 1.3 0
VRIM5 SEASPAN CHIBA SHP 21 -4.1 1.4 0
VRLJ4 UNKNOWN SHP 26 8.2 1.5 0
VRMX7 UNKNOWN SHP 37 5.3 2.1 0
VRQS4 OLYMPIA LOGGER SHP 24 4.8 0.7 0
VRRI5 SHANDONG DA REN SHP 131 4.4 1.6 1
VRSJ8 UNKNOWN SHP 28 -8.0 1.3 0
VRUN2 ZIM USA SHP 78 4.5 1.2 0
VRVP3 GUSTAV MAERSK SHP 50 4.6 1.0 0
VRVR2 UNKNOWN SHP 55 7.0 0.8 0
VTUQ SSL THAMIRABARANI SHP 0 0.0 0.0 25
VTVW APJ INDRANI SHP 0 0.0 0.0 21
ZBZA5GS UNKNOWN SHP 21 -4.3 0.7 0
HHLO1 UNKNOWN CMN 4032 -4.1 1.6 0
DULM5 UNKNOWN TG 1343 -4.2 1.7 1
FRWL1 UNKNOWN TG 1343 4.6 1.0 0
41082 FB 3427 -8.0 2.5 90
FEBRUARY 2025
AIR TEMPERATURE FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
3FAR9 UNKNOWN SHP 27 4.3 1.9 0
9HJC9 CELEBRITY SUMMIT SHP 29 4.5 1.6 0
9V3913 KN ARCADIA SHP 327 6.4 2.4 0
9V9400 APL SALALAH SHP 121 4.8 1.7 0
AMOUK04 UNKNOWN SHP 61 12.4 1.5 9
AMOUK50 UNKNOWN SHP 175 4.1 1.1 0
ATAH2 APJ SETHU SHP 28 4.2 1.7 0
C6CA7 UNKNOWN SHP 57 4.4 1.3 0
C6CN5 SEAPEAK VANCOUVER SHP 50 4.9 1.5 0
H3XK UNKNOWN SHP 22 5.6 2.9 0
LAQN7 STAR LOEN SHP 20 4.7 3.2 0
LAZU5 STAR JUVENTAS SHP 36 4.3 2.3 0
MERFR13 UNKNOWN SHP 26 -5.7 1.0 0
NBTM USCGC POLAR STAR SHP 88 4.6 2.4 1
OWFD2 UNKNOWN SHP 29 5.1 2.3 1
RTJ6XHM UNKNOWN SHP 14 -12.2 2.1 37
V7WS8 FEDERAL SEVERN SHP 23 4.7 3.4 0
VRCG8 UNKNOWN SHP 27 4.0 2.8 0
VTVW APJ INDRANI SHP 21 5.6 1.0 0
WTEG NOAA REUBEN LASKER (AWS) SHP 36 11.4 2.1 34
WTEK NOAA FERDINAND R. HASSLER SHP 151 11.1 2.0 12
SHXA2 UNKNOWN CMN 0 0.0 0.0 1922
PRDA2 UNKNOWN TG 523 3.4 7.1 809
PSTL1 UNKNOWN TG 150 -11.2 2.5 236
FEBRUARY 2025
WIND DIRECTION FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
2WDQB3E UNKNOWN SHP 39 48.3 45.3 7
32ST0 UNKNOWN SHP 531 51.9 36.4 56
3FAR9 UNKNOWN SHP 22 -140.6 40.0 5
3FOS8 UNKNOWN SHP 27 151.0 31.8 5
3FZI8 MSC SPLENDIDA SHP 29 89.5 55.2 25
5CSD8GG UNKNOWN SHP 26 -81.5 0.5 0
6AZCQND UNKNOWN SHP 20 -136.2 7.4 2
6LDRRAL UNKNOWN SHP 263 1.0 49.7 90
7JDE UNKNOWN SHP 25 168.6 15.9 4
7JYC UNKNOWN SHP 15 24.0 39.9 5
7JZJ ORION LEADER SHP 31 -174.0 3.8 4
7KJZ SALVIA ACE SHP 80 179.2 24.9 9
9HA4638 MSC SEASIDE SHP 73 103.9 16.4 1
9HA4876 COTINGA SHP 20 17.0 20.9 8
9HA4970 CMA CGM T. JEFFERSON SHP 29 31.1 28.1 4
9HA5209 MSC VIRTUOSA SHP 635 -97.8 3.6 1
9HA5682 MSC WORLD EUROPA SHP 185 42.7 44.0 48
9HJD9 CELEBRITY INFINITY SHP 15 -72.2 54.4 7
9V2005 MAERSK INVERNESS SHP 39 -124.2 15.2 2
9V3704 PARTHIA SHP 40 -101.4 6.4 2
9V3912 KN AMETHYST SHP 507 50.9 45.6 121
9V3913 KN ARCADIA SHP 121 -122.9 39.9 206
9V5242 MAERSK SINGAPORE SHP 27 -102.5 2.4 2
9V7629 EVER MAST SHP 77 31.2 35.7 10
9V9288 EVER LAWFUL SHP 36 55.1 41.3 6
9VFV4 MAERSK TAURUS SHP 40 -32.1 35.1 8
9YBQ2LW UNKNOWN SHP 49 129.3 7.2 3
A8NM6 UNKNOWN SHP 18 138.4 29.8 4
A9LV SEAPEAK BAHRAIN SHP 20 12.8 41.9 8
AHYF3PB UNKNOWN SHP 25 -30.2 37.8 1
AMOHK02 UNKNOWN SHP 165 -56.0 31.8 23
ATAH2 APJ SETHU SHP 22 58.5 50.6 6
ATAT2 UNKNOWN SHP 39 2.5 47.6 15
ATR9M5U UNKNOWN SHP 53 -38.0 30.6 3
AWWB NANDA DEVI SHP 31 -68.3 52.1 20
AWXA APJ ANGAD 2 SHP 7 -86.8 11.1 16
BLSFV3U UNKNOWN SHP 19 40.4 35.5 3
C6ED5 CARIBBEAN VOYAGER SHP 49 -156.6 18.9 7
C6IB9 UNKNOWN SHP 12 -23.3 32.0 10
C6VG7 NORWEGIAN PEARL SHP 16 1.4 36.0 13
C6YM5 SONANGOL ETOSHA SHP 23 -157.6 14.0 3
CFK9698 ALGOMA GUARDIAN (AWS) SHP 75 -31.2 30.1 21
CFK9796 ALGOMA DISCOVERY SHP 109 34.6 43.1 20
CQNL MINERAL YANGFAN SHP 28 137.4 13.0 3
D5AD7 TOLTEN SHP 33 -32.5 31.5 3
D5AD8 TIRUA SHP 54 175.6 17.7 2
D5XC4 YM TRUTH SHP 30 -121.1 35.7 3
DLXT34Y UNKNOWN SHP 59 -38.2 40.7 10
EUCFR05 UNKNOWN SHP 34 -49.9 46.1 8
EUCPT01 UNKNOWN SHP 51 43.1 42.1 10
H3AJ UNKNOWN SHP 25 71.6 52.7 12
H8EW MSC ARMONIA SHP 34 -46.2 34.1 3
KWRFXTU UNKNOWN SHP 25 160.2 18.1 2
LAJS6 STAR JAVA SHP 107 116.0 14.2 3
LJBL58D UNKNOWN SHP 279 -32.4 35.0 25
MMZT85X UNKNOWN SHP 26 -20.1 26.8 12
MWAQ UNKNOWN SHP 30 49.5 16.2 0
NBTM USCGC POLAR STAR SHP 76 -47.9 41.5 13
OBMT UNKNOWN SHP 52 -74.4 50.5 22
ONKH UNKNOWN SHP 18 -165.7 30.9 9
ONKS UNKNOWN SHP 64 4.4 41.9 32
OXSQ2 MAERSK ESSEX SHP 40 -15.8 41.5 17
QJLVJFW UNKNOWN SHP 16 20.8 12.5 11
RCLKYXB UNKNOWN SHP 95 -36.3 41.0 13
RULLM7N UNKNOWN SHP 13 -21.9 46.2 7
SBPR UNKNOWN SHP 105 145.1 3.9 2
SBPT UNKNOWN SHP 101 178.7 19.2 7
TNXNNFX UNKNOWN SHP 31 -106.8 4.4 3
UBRI5 UNKNOWN SHP 19 -33.6 34.8 4
UCFT UNKNOWN SHP 27 -91.6 6.9 0
V7A6801 UNKNOWN SHP 37 95.1 11.7 1
V7DJ5 STI OXFORD SHP 19 -170.2 5.3 2
V7DJ7 STI CONNAUGHT SHP 264 53.1 22.4 11
V7FK6 STI SENECA SHP 22 107.2 22.3 1
V7TO3 UNKNOWN SHP 39 -99.5 15.3 1
V7WS8 FEDERAL SEVERN SHP 9 1.4 18.3 14
V7ZZ6 SEVEN SEAS SPLENDOR SHP 205 -34.0 38.9 25
VRBX7 UNKNOWN SHP 20 114.5 33.6 3
VRCU7 UNKNOWN SHP 37 48.0 40.7 4
VREM6 UNKNOWN SHP 34 -56.4 41.1 5
VRFT7 UNKNOWN SHP 36 -161.6 51.5 47
VRIB3 UNKNOWN SHP 18 62.9 45.8 3
VRID6 COSCO PRINCE RUPERT SHP 28 -2.3 47.7 10
VRIZ9 COSCO DEVELOPMENT SHP 11 110.9 44.1 10
VRJF2 HENRIKA SCHULTE SHP 24 -30.9 26.2 1
VRMV6 SAGA ANDORINHA SHP 21 174.2 9.7 2
VRNA9 SEASPAN THAMES SHP 38 -139.1 10.8 2
VRNR5 UNKNOWN SHP 17 -146.9 25.9 5
VROO4 UNKNOWN SHP 50 -30.3 32.1 5
VROX2 MAERSK TAIKUNG SHP 108 115.1 1.1 2
VRPY5 ORE BRASIL SHP 27 -44.8 42.0 6
VRQS4 OLYMPIA LOGGER SHP 19 -68.5 46.1 5
VRSJ8 UNKNOWN SHP 25 42.8 35.8 3
VRUZ9 SAGA HORIZON SHP 43 -101.2 6.1 1
VRVD4 ZIM CORAL SHP 20 -49.3 30.6 2
VRVQ9 UNKNOWN SHP 15 -4.4 44.7 8
VRZK9 UNKNOWN SHP 25 -133.3 26.6 9
VTLD UNKNOWN SHP 18 11.8 43.6 8
VTUQ SSL THAMIRABARANI SHP 16 9.5 38.4 9
VTVW APJ INDRANI SHP 16 121.8 35.7 5
WDE7804 KESTREL SHP 317 111.9 52.9 352
WDJ5261 CLAYTON ARTHUR SHP 53 -153.6 23.5 4
WDK5676 HUBBARD SHP 712 -4.8 49.9 288
WDK8035 STEADFAST SHP 487 -58.3 47.7 185
WTEE NOAA OSCAR ELTON SETTE ( SHP 106 4.5 26.0 60
WTEG NOAA REUBEN LASKER (AWS) SHP 68 -102.4 14.9 2
WTEK NOAA FERDINAND R. HASSLER SHP 101 67.4 17.3 62
WTEO NOAA GORDON GUNTER (AWS) SHP 265 49.3 38.6 129
WTEP NOAA OSCAR DYSON (AWS) SHP 471 3.5 40.4 157
WTER NOAA NANCY FOSTER (AWS) SHP 181 -12.9 54.6 76
XCCF3 UNKNOWN SHP 9 15.3 39.3 11
XNDW39M UNKNOWN SHP 45 -36.7 31.4 2
YUTPB4M UNKNOWN SHP 80 38.6 39.2 11
ZFTKQCT UNKNOWN SHP 36 115.8 5.5 2
ZMFR UNKNOWN SHP 31 164.2 26.5 10
ZNZH6 EVER EAGLE SHP 32 84.0 41.0 17
ZZB5AKK UNKNOWN SHP 34 111.9 7.5 2
ACXS1 UNKNOWN CMN 1753 -22.2 46.2 843
AJXA2 UNKNOWN CMN 2451 -5.8 52.1 1483
ANMN6 UNKNOWN CMN 1972 -49.0 47.3 576
APRP7 UNKNOWN CMN 4012 -90.9 6.4 2
BABT2 UNKNOWN CMN 3599 -31.7 27.7 413
CPXC1 UNKNOWN CMN 4511 137.8 47.8 2926
CSPA2 UNKNOWN CMN 604 -32.9 26.4 30
DESW1 UNKNOWN CMN 623 30.2 36.9 49
ELXC1 UNKNOWN CMN 1820 -4.2 50.4 780
FILA2 UNKNOWN CMN 846 156.0 31.4 486
GIXA2 UNKNOWN CMN 2944 11.0 34.8 1007
GUXA2 UNKNOWN CMN 2678 -30.3 43.9 1271
HAXA2 UNKNOWN CMN 2203 -151.0 44.1 1747
HMRA2 UNKNOWN CMN 1988 68.3 45.0 612
HMSA2 UNKNOWN CMN 3291 45.5 45.3 653
ILOH1 UNKNOWN CMN 3185 63.4 43.3 830
JCRN4 UNKNOWN CMN 2188 -46.0 34.6 412
JLXA2 UNKNOWN CMN 2537 -12.8 51.8 1395
JMLA2 UNKNOWN CMN 2557 -4.9 50.3 1370
KEXA2 UNKNOWN CMN 2647 -0.5 48.4 1303
LCNA2 UNKNOWN CMN 543 30.9 39.3 93
LIXA2 UNKNOWN CMN 2322 -20.5 39.7 1340
LPNM4 UNKNOWN CMN 3669 32.6 30.0 377
MLSC1 UNKNOWN CMN 3723 -10.6 47.1 1399
MRNA2 UNKNOWN CMN 2466 -20.0 52.6 1461
MRYA2 UNKNOWN CMN 3059 -68.7 43.2 889
MVXA2 UNKNOWN CMN 2822 13.1 47.9 1127
MXXA2 UNKNOWN CMN 2699 -9.0 51.2 1077
NAXR1 UNKNOWN CMN 2096 80.6 28.6 504
NPDW3 UNKNOWN CMN 916 -59.9 35.9 395
NWWH1 UNKNOWN CMN 2557 -0.8 45.1 1459
OMHC1 UNKNOWN CMN 4607 -10.0 48.5 2023
OTNM4 UNKNOWN CMN 3741 34.4 30.4 285
PAXA2 UNKNOWN CMN 3348 -41.7 38.0 577
PBPA2 UNKNOWN CMN 524 -65.6 41.9 113
PCNT2 UNKNOWN CMN 3339 -65.9 35.0 674
PGXA2 UNKNOWN CMN 3366 -71.0 39.3 585
PILA2 UNKNOWN CMN 759 -31.1 39.4 585
PRTA2 UNKNOWN CMN 407 -14.7 42.9 223
PTLA2 UNKNOWN CMN 2839 -2.7 50.6 1111
RIXA2 UNKNOWN CMN 2900 22.3 47.1 1048
RTAT2 UNKNOWN CMN 3847 -30.5 25.8 169
SCXA2 UNKNOWN CMN 2951 -61.0 47.0 982
SDIA2 UNKNOWN CMN 1043 -3.6 51.5 892
SHXA2 UNKNOWN CMN 3268 57.6 40.2 670
SISA2 UNKNOWN CMN 469 7.4 48.5 165
SKXA2 UNKNOWN CMN 3137 33.6 40.1 792
SLVM5 UNKNOWN CMN 2469 46.7 41.9 1569
SLXA2 UNKNOWN CMN 2956 1.3 46.0 994
STXA2 UNKNOWN CMN 3253 45.4 45.9 698
TCMW1 UNKNOWN CMN 3690 -16.3 48.4 1349
TIXC1 UNKNOWN CMN 1912 1.5 43.6 680
TKEA2 UNKNOWN CMN 2953 3.4 48.8 998
WEXM1 UNKNOWN CMN 2203 -43.4 34.3 298
WKXA1 UNKNOWN CMN 1945 0.1 37.1 651
WNEM4 UNKNOWN CMN 3596 -33.7 39.7 447
YGNN6 UNKNOWN CMN 3780 -40.3 32.3 200
YRSV2 UNKNOWN CMN 1916 -18.0 41.6 683
AAMC1 UNKNOWN TG 916 -14.6 51.6 428
ANPT2 UNKNOWN TG 1230 -48.5 25.8 97
ANTA2 UNKNOWN TG 935 14.9 48.2 408
ANVC1 UNKNOWN TG 944 -14.5 48.2 400
APAM2 UNKNOWN TG 272 -34.6 20.8 25
APRP7 UNKNOWN TG 1342 -92.4 7.0 1
BABT2 UNKNOWN TG 1209 -33.4 27.4 131
BMTW1 UNKNOWN TG 454 -164.2 47.4 890
CECC1 UNKNOWN TG 1077 -59.3 45.6 267
CRVA2 UNKNOWN TG 860 -77.4 46.2 484
EMAT2 UNKNOWN TG 1248 -40.0 29.8 94
ESPP4 UNKNOWN TG 1344 -83.8 1.2 0
FRWL1 UNKNOWN TG 1223 -36.9 28.1 120
FTPC1 UNKNOWN TG 1096 -52.0 44.3 248
ILOH1 UNKNOWN TG 1032 67.3 43.5 312
JMPN7 UNKNOWN TG 25 -51.3 25.9 4
JNEA2 UNKNOWN TG 880 -21.8 50.1 464
KECA2 UNKNOWN TG 938 -5.6 44.9 405
KLIH1 UNKNOWN TG 828 -14.1 45.8 516
LNDC1 UNKNOWN TG 932 -9.7 50.2 412
LPNM4 UNKNOWN TG 1203 32.1 29.4 140
LUIT2 UNKNOWN TG 1320 -30.8 25.2 22
MGPT2 UNKNOWN TG 1282 -31.5 28.0 62
MNMM4 UNKNOWN TG 1205 -31.5 27.2 137
MROS1 UNKNOWN TG 262 -31.1 34.3 26
NBGM3 UNKNOWN TG 278 36.2 26.8 17
NCHT2 UNKNOWN TG 1113 38.5 30.6 86
NFDF1 UNKNOWN TG 274 -32.7 30.8 22
NMTA2 UNKNOWN TG 881 -20.0 41.3 463
NTBC1 UNKNOWN TG 643 -178.3 51.5 700
NWHC3 UNKNOWN TG 272 30.6 32.4 25
NWWH1 UNKNOWN TG 817 -0.9 46.0 527
OBGN6 UNKNOWN TG 1115 31.0 33.4 229
OKXC1 UNKNOWN TG 476 -11.0 52.8 246
OMHC1 UNKNOWN TG 924 -10.5 48.2 420
PACT2 UNKNOWN TG 1216 -31.1 28.0 97
PCBF1 UNKNOWN TG 1201 -41.8 39.1 140
PCNT2 UNKNOWN TG 1043 -68.3 36.2 232
PLXA2 UNKNOWN TG 999 -38.3 37.8 344
PORO3 UNKNOWN TG 1127 -51.3 45.9 217
PRHH1 UNKNOWN TG 820 -30.0 50.4 519
PSBC1 UNKNOWN TG 1085 56.5 40.8 259
PSLC1 UNKNOWN TG 992 75.8 47.7 352
PXOC1 UNKNOWN TG 957 -13.8 50.8 386
RCKM4 UNKNOWN TG 1204 -34.6 37.8 139
RTAT2 UNKNOWN TG 1293 -39.3 25.9 51
RTYC1 UNKNOWN TG 932 -12.3 48.7 411
SDRT2 UNKNOWN TG 1175 -30.2 30.0 159
SNDA2 UNKNOWN TG 1244 -32.6 34.2 100
TCMW1 UNKNOWN TG 988 -18.4 48.5 356
TKPN6 UNKNOWN TG 208 68.8 38.8 61
WNEM4 UNKNOWN TG 1188 -34.6 40.3 155
42067 FB 1863 17.2 50.1 1114
44488 FB 328 31.2 22.4 12
44489 FB 450 30.1 23.3 32
46054 FB 3692 41.8 35.0 339
46060 FB 490 7.3 45.7 182
46081 FB 473 9.2 52.5 198
46087 FB 3738 34.9 37.2 293
46088 FB 2599 -5.9 46.6 1430
46092 FB 421 -9.4 51.1 243
46146 FB 428 -17.2 49.6 237
46181 FB 497 -8.5 39.9 174
62050 FB 666 125.7 4.7 6
62140 FB 27 -132.8 36.6 79
62152 FB 669 -94.7 11.4 1
62154 FB 664 -108.8 9.6 7
62168 FB 672 95.7 4.7 0
23001 DB 230 47.2 38.7 48
23003 DB 59 167.4 43.7 219
23015 DB 107 -159.4 40.7 213
23452 DB 217 37.8 21.3 7
23497 DB 137 -76.1 56.0 77
FEBRUARY 2025
WIND SPEED FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
4VKYNVK UNKNOWN SHP 84 5.1 4.4 2
AMOHK02 UNKNOWN SHP 0 0.0 0.0 188
C6DL4 NORWEGIAN BLISS SHP 136 5.1 3.3 1
C6ZJ3 NORWEGIAN BREAKAWAY SHP 23 5.0 4.0 1
NBTM USCGC POLAR STAR SHP 86 5.5 3.5 3
QJLVJFW UNKNOWN SHP 27 5.4 2.0 0
VRIZ9 COSCO DEVELOPMENT SHP 21 5.8 3.5 0
VRME4 COSCO VENICE SHP 21 5.5 4.0 1
VTUQ SSL THAMIRABARANI SHP 8 13.6 0.8 17
WDC8652 POLAR RANGER SHP 27 5.2 4.0 1
BIGM4 UNKNOWN CMN 3983 -5.1 2.9 5
PGBP7 UNKNOWN CMN 6719 -5.5 1.8 0
POTA2 UNKNOWN CMN 1328 6.9 2.9 16
RIXA2 UNKNOWN CMN 3935 5.1 3.8 13
SLVM5 UNKNOWN CMN 4038 -5.1 2.2 0
CHAV3 UNKNOWN TG 1344 -5.6 2.1 0
CHSV3 UNKNOWN TG 1340 -6.4 2.0 0
NTKM3 UNKNOWN TG 297 -6.0 3.3 0
PGBP7 UNKNOWN TG 1344 -5.6 1.8 0
WAHV2 UNKNOWN TG 296 -6.4 3.6 0
46208 FB 642 -7.3 3.4 30
FEBRUARY 2025
SEA SURFACE TEMP. FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
3ETR7 MSC FANTASIA SHP 34 4.9 2.1 0
9HA4766 APL FLORIDA SHP 32 4.3 4.5 0
9HA4876 COTINGA SHP 28 -5.0 5.3 0
9HA4902 MSC BELLISSIMA SHP 58 -6.1 3.3 1
9V3912 KN AMETHYST SHP 628 5.6 2.0 0
9V5250 UNKNOWN SHP 33 4.4 3.8 0
9V7628 UNKNOWN SHP 28 4.9 3.7 1
9VFV5 MAERSK ALGOL SHP 71 4.0 2.3 0
D5LH3 ANTIPAROS SHP 30 4.8 1.9 1
DBHNUYD UNKNOWN SHP 112 4.3 4.1 0
HBLLCVS UNKNOWN SHP 36 -5.8 0.7 0
HPYT UNKNOWN SHP 25 8.1 2.6 0
MERFR09 UNKNOWN SHP 106 4.8 3.8 6
NBTM USCGC POLAR STAR SHP 85 4.8 3.4 4
ONLU MINERAL DEUTSCHLAND SHP 38 -5.0 0.5 0
OXVS2 MAERSK EVORA SHP 83 4.3 1.9 0
SBPQ UNKNOWN SHP 94 5.0 4.3 5
SBPR UNKNOWN SHP 95 5.6 4.4 12
SBPT UNKNOWN SHP 103 4.7 3.6 6
SDIA UNKNOWN SHP 103 5.1 3.7 7
SMLQ UNKNOWN SHP 69 4.8 3.6 2
V7A4788 MARLIN HESTIA SHP 127 -5.3 3.3 0
V7WS8 FEDERAL SEVERN SHP 16 5.4 6.2 7
VRLJ3 OOCL BRUSSELS SHP 28 -4.5 3.8 0
VRMD3 MAERSK VIRGINIA SHP 31 -6.0 4.4 0
VRMV6 SAGA ANDORINHA SHP 23 5.7 3.0 0
VRNS2 UNKNOWN SHP 39 4.3 2.9 0
WTEK NOAA FERDINAND R. HASSLER SHP 143 10.6 2.9 20
WTER NOAA NANCY FOSTER (AWS) SHP 257 -5.3 4.4 0
YUTPB4M UNKNOWN SHP 91 5.0 2.2 0
ELFA2 UNKNOWN CMN 5778 8.4 3.7 890
MACM4 UNKNOWN CMN 5310 6.9 4.4 1302
RLOT2 UNKNOWN CMN 6638 5.7 3.5 0
AGCM4 UNKNOWN TG 1259 5.2 4.3 84
ALXN6 UNKNOWN TG 995 6.5 4.2 348
ANTA2 UNKNOWN TG 674 4.7 4.3 12
BKTL1 UNKNOWN TG 1212 4.1 6.1 132
BUFN6 UNKNOWN TG 652 9.1 3.6 106
CASM1 UNKNOWN TG 1338 5.1 4.6 6
CAVN6 UNKNOWN TG 1063 5.8 4.6 264
CRVA2 UNKNOWN TG 1269 8.9 3.4 60
DTLM4 UNKNOWN TG 1008 7.4 4.1 336
EINL1 UNKNOWN TG 1344 -4.6 2.9 0
ELFA2 UNKNOWN TG 1183 8.4 3.7 161
FAIO1 UNKNOWN TG 1343 4.2 4.1 0
FPKG1 UNKNOWN TG 1336 -0.7 6.1 8
HCGN7 UNKNOWN TG 1344 -5.2 2.8 0
HIST2 UNKNOWN TG 1342 5.8 3.2 0
HRBM4 UNKNOWN TG 1307 5.9 3.1 36
ITKA2 UNKNOWN TG 1295 8.2 3.2 49
JNEA2 UNKNOWN TG 1344 6.0 3.1 0
KECA2 UNKNOWN TG 1343 6.3 3.5 0
LCLL1 UNKNOWN TG 1321 1.3 6.6 23
MACM4 UNKNOWN TG 1079 6.9 4.4 263
MNMM4 UNKNOWN TG 1210 5.9 4.7 132
NEAW1 UNKNOWN TG 1344 4.7 2.9 0
NMTA2 UNKNOWN TG 708 7.7 4.7 636
OBGN6 UNKNOWN TG 996 6.7 4.5 348
PEGF1 UNKNOWN TG 1150 6.2 2.2 0
PILL1 UNKNOWN TG 1340 -11.1 1.0 0
PNLM4 UNKNOWN TG 970 7.9 4.3 374
PRDA2 UNKNOWN TG 263 8.7 3.3 1061
PSTL1 UNKNOWN TG 1344 -10.0 1.0 0
PTAW1 UNKNOWN TG 1344 5.7 3.9 0
PTWW1 UNKNOWN TG 1343 4.0 3.5 0
RDDA2 UNKNOWN TG 515 8.4 3.7 819
RLOT2 UNKNOWN TG 1343 5.6 3.4 0
SEIM1 UNKNOWN TG 1343 4.6 4.4 0
SHBL1 UNKNOWN TG 1344 -4.6 3.5 0
SKTA2 UNKNOWN TG 612 8.5 2.6 732
SWLA2 UNKNOWN TG 969 8.9 2.8 375
TCNW1 UNKNOWN TG 1267 6.2 4.4 77
TESL1 UNKNOWN TG 1315 -4.6 4.8 25
VDZA2 UNKNOWN TG 836 9.9 2.8 508
YATA2 UNKNOWN TG 1343 6.0 3.2 0
44007 FB 4000 5.0 3.4 0
44013 FB 3997 4.4 3.6 0
44030 FB 658 5.1 3.2 0
44073 FB 2901 4.2 3.0 0
44488 FB 345 4.5 2.7 0
44489 FB 487 5.1 2.8 0
46087 FB 3973 5.1 3.3 0
46088 FB 3998 4.1 3.0 0
46145 FB 668 4.7 3.7 0
46146 FB 665 5.8 3.4 0
46181 FB 371 8.6 3.5 300
46267 FB 1325 6.1 4.0 12
23099 DB 217 1.1 6.4 0
TOTAL NUMBER OF OBSERVATIONS FOR FEBRUARY 2025 (EXCLUDING DUPLICATES
AND THOSE FROM CALLSIGN 'SHIP') WAS 1751751. TOTAL NUMBER OF
OBSERVATIONS FROM CALLSIGN 'SHIP' (EXCLUDING DUPLICATES) WAS 26.
TOTAL NUMBER OF IDS WAS 2563.
