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Statistics on global surface marine meteorological and oceanographic data are compiled monthly by personnel of NOAA's
NWS/NCEP/Central Operations. These data include those which are observed/measured by ships (including those vessels that are part of the
U.S. Voluntary Observing Ship Project), moored and drifting buoys, Coastal Marine Automated Network (CMAN) stations, and tide gauge stations
(tide gauge data are provided by NOAA's National Ocean Service/Center for Operational Oceanographic Products and Services (NOS/CO-OPS)).
Separate statistics are compiled monthly for specified vessels in the Gulf of Alaska and for specificed member vessels of the
International SeaKeepers Society. The data for which these statistics are compiled include sea-level pressure, air temperature, and wind direction
and speed (for the surface meteorological data), and sea surface temperature (for the oceanographic data).
Only 1 year's worth of statistics will be available at any given time on this web site. Please note that the monthly statistics are updated on
the first business day of each month. I.e. if the 1st falls on a weekend or on a Federal Government holiday, the statistics are updated on the first
business day which follows the weekend the or holiday.
The global monthly statistics are sent to the
UKMet Office in Bracknell, England each month (the UKMet Office has been designated by the
World Meteorological Organization (WMO) as the lead center for monitoring surface marine observations), where they are consolidated with
additional statistics and forwarded to platform managers. The platform managers may then investigate platforms listed in the statistics to see if
instrumentation needs to be corrected. Please note that the statistical files available via this web site are not indentical to those passed to
Bracknell, in that the ship/platform names are included in the files on this web site (they are not included in the Bracknell files).
The monthly statistics produced for the Gulf of Alaska vessels and for the International SeaKeepers Society vessels are made available to those
program managers via this web site, so that they may evaluate the performance of select vessels in their area of interest.
All of the monthly statistics are computed using differences between the observed data and first guess fields from one of 2 NWS numerical
models. This file explains the method of comparison between the data and first guess fields, and also provides the criteria used in determining
which platforms will be listed in the NCEP Central Operations (NCO) global marine statistics each month.
Standard of Comparison
Data from each platform (ships, moored (fixed) buoys, drifting buoys, CMAN platforms, and tide gauge stations) are compared to forecasts from
one of 2 NWS numerical models for each of 4 daily synoptic periods. Each synoptic period is a 6 hour window centered on the times given in the
table below. The first guess valid times are also given below. All data observed/measured during each synoptic period are compared to the first
guess valid for that synoptic period. The first guess is interpolated to the platform's location and differences between observation and first guess
are computed. Differences between observed data and forecasts are archived four times daily.
| Synoptic Period | Numerical Model Used | First Guess Valid Time |
|---|---|---|
| 0000 UTC | 6-hour forecast from the 1800 UTC run of NWS's Global Data Assimilation System (GDAS) | 0000 UTC |
| 0600 UTC | 6-hour forecast from the 0000 UTC run of GDAS | 0600 UTC |
| 1200 UTC | 6-hour forecast from the 0600 UTC run of GDAS | 1200 UTC |
| 1800 UTC | 6-hour forecast from the 1200 UTC run of GDAS | 1800 UTC |
If the GDAS is unavailable for a particular synoptic period, a 6-hour forecast from the previous run of NWS's
Global Forecast System (GFS) is
used instead.
Each synoptic period includes data with observation times +/- 3 hours as follows:
| Synoptic Period | Observation Times of Data |
|---|---|
| 0000 UTC | 2100 UTC (previous day) through 0259 UTC |
| 0600 UTC | 0300 UTC through 0859 UTC |
| 1200 UTC | 0900 UTC through 1459 UTC |
| 1800 UTC | 1500 UTC through 2059 UTC |
No time interpolation between observed data and first guess is done (i.e. an observation from 1000 UTC or 1400 UTC will be compared to a first
guess valid at 1200 UTC).
Criteria for specific parameters
For each of the 5 parameters (sea-level pressure, air temperature, wind speed, wind direction, and sea surface temperature) included
in the monthly statistics, the following criteria must be met in order for a particular platform to be listed in the NCO global monthly
statistics
Sea-level pressure (slp):
Air temperature:
Wind direction:
Wind speed:
Sea surface temperature (sst):
Specific callsigns were given to NCO to indicate those vessels which are to be included in these monthly statistics. No other criteria must
be met, except that the vessels must have at least one observation during the desired month. If a vessel reports only once during a
specific month, then the bias for any reported parameter is not a mean bias but is merely the difference between observed and first guess
values for that parameter. Standard deviation is only computed when a vessel has 2 or more reports for any particular parameter in the
month. As with the global monthly statistics, gross errors are not included in computations of bias or standard deviation (see Definition
of gross errors below).
With the exception of wind direction, the bias for each parameter is always computed as (observed data - first guess). A mean difference bias for
slp of -4.8 mb would mean that the observed slp for that platform is, on average, 4.8 mb lower than the first guess slp. Also, a low standard
deviation (SD) of the difference would mean that the platform's bias is consistent (the closer to 0 the SD is, the more consistent that platform is
for that parameter). For example, if the slp bias was -4.8 mb and standard deviation of the difference was 1.0, that would imply that the platform
consistently was around 4.8 mb too low with its slp. If the SD is high, then the platform has a lot of variability for the parameter in question, with
with regards to its comparison with the first guess.
Calculation of bias and standard deviation for wind direction
For platforms reporting wind direction that is consistently close to 180 degrees off the first guess wind direction, using the regular algorithm of
(observed wind direction - first guess wind direction) would result in a very large SD and bias, which would make it difficult to detect the wind
direction error. The ideal for this situation would be to have a small SD with a bias on the order of 180 degrees. This is possible with the use of
the algorithm used by Meteo-France's Centre for Marine Meteorology (Centre de Meteorologie Marine (CMM)) in computation of wind direction
statistics for moored and drifting buoys. This algorithm computes bias and SD for the following series:
where Obs = observed wind direction and FG = first guess wind direction.
The bias and SD are computed for each of the above 4 series. The smallest of the 4 SD values is selected and then (bias - i) (where i is 0, 90, -90,
and 180, respectively) is selected as the actual bias if the series ((Obs + i) - FG) was the series associated with the smallest SD. See the following
table for more details.
| If smallest SD is computed for | Bias used is |
|---|---|
| (Obs - FG) | bias = ((bias of (obs - FG)) - 0) |
| ((Obs + 90) - FG) | bias = ((bias of ((obs + 90) - FG)) - 90) |
| ((Obs - 90) - FG) | bias = ((bias of ((obs - 90) - FG)) - (-90)) |
| ((Obs + 180) - FG) | bias = ((bias of ((obs + 180) - FG)) - 180) |
Using this algorithm for all wind direction bias and SD computations will ensure that the most accurate representation of the difference between
observed wind direction and first guess wind direction will be used and displayed in the monthly statistics.
Sample lines from global monthly statistics (and explanation)
NCEP CENTRAL OPERATIONS (NCO) PLATFORM STATS
AUGUST 2024
SEA-LEVEL PRESSURE FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
3FFA5 MSC DIVINA SHP 50 11.9 2.1 3
The above lines were taken from the global monthly statistics produced for August 2024. The platform shown has the callsign 3FFA5. Its name
Caveat
Please note that a platform's appearance in the monthly statistics does not necessarily mean that the platform's data are bad. A high bias can be
indicative of a persistent problem with the first guess at the platform's lcoation. While the model's grid resolution and topogoraphical resolution are
1 degree x 1 degree, this is still not fine enough to depict small-scale local meteorological and oceanographic effects. In addition, the first guess, in
general, performs more poorly in the Southern Hemisphere than in the Northern Hemisphere, due to lower data counts (much less land south of
the Equator, so not nearly as many land-based surface and upper air observations, plus major shipping lanes are primarily in the Northern
Hemisphere).
An observation is considered to be a gross error if it differs from the first guess by the following values:
| slp | abs(obs - fcst) ≥ 15.0 mb |
| air temperature | abs(obs - fcst) ≥ 15.0 deg C |
| wind direction | abs(obs - fcst) ≥ 100 degrees |
| wind speed | abs(obs - fcst) ≥ 15.0 m/s |
| sst | abs(obs - fcst) ≥ 15.0 deg C |
| abs: | absolute value |
| obs: | observation |
| fcst: | forecast (first guess) |
By convention, gross errors are not used in the computation of the mean difference or standard deviation.
Platform types seen in monthly statistics
| Abbreviation | Type |
|---|---|
| SHP | ship |
| DB | drifting buoy |
| FB | fixed (moored) buoy |
| CMN | CMAN platform |
| TG | tide gauge station |
Statistics are not computed for platforms with the following callsigns: 'SHIP', 'BUOY', 'BBXX', 'PLAT', 'RIGG', or 'METEO'. These callsigns are not
unique (i.e. more than one platform may have the same callsign), so statistics for these callsigns would be meaningless.
Ship and Platform Names
The ship and platform names are obtained from several sources. Since callsigns and ship names change from time to time, a particular callsign
may be associated with 2 or more different names, or a ship name may be associated with several callsigns. Although we will update the names
file several times a year, we may not know which callsign/name is current.
A good web site for querying ship names and/or callsigns is that of the
Ship-Of-Opportunity Programme (SOOP), which is a joint program of the
WMO and the Intergovernmental Oceanographic Commission (IOC). On the OceanOps dashboard, click "Enter Dashboard". In the upper left
"Search" bar, one may enter a full or partial ship name or callsign, and an attempt will be made to find a match on either.
Additional Marine Data/Information
If you are seeking climatological marine data such as average temperature, wave heights, or prevailing winds for a particular oceanographic
region, please contact NOAA's National Centers for Environmental Information (NCEI).
For marine forecasts, please contact NOAA/NWS/NCEP's
Ocean Prediction Center (OPC).
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NCEP CENTRAL OPERATIONS (NCO) PLATFORM STATS
JUNE 2024
SEA-LEVEL PRESSURE FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
2PN7YZN UNKNOWN SHP 34 -4.9 0.8 0
32ST0 UNKNOWN SHP 602 6.1 3.2 0
3EBY2 UNKNOWN SHP 12 13.5 0.9 9
3EFK6 MSC MUSICA SHP 72 -4.9 3.4 0
3ETV9 UNKNOWN SHP 49 6.2 3.0 0
3FFA5 MSC DIVINA SHP 31 9.4 1.7 0
3FLO4 MSC MAGNIFICA SHP 38 4.3 5.2 1
3FLT5 UNKNOWN SHP 50 4.6 1.8 0
3FOA6 MSC PREZIOSA SHP 24 6.4 3.2 0
5LCS5 EVER FOND SHP 34 -6.1 0.9 0
5LCZ4 YM TOGETHER SHP 20 -5.3 0.9 0
5LGV4 YM TRILLION SHP 60 8.6 2.1 0
9HA3062 MEIN SCHIFF 3 SHP 81 -4.6 1.4 1
9HA3793 CMA CGM LITANI SHP 8 11.3 2.3 24
9HA3858 MEIN SCHIFF 5 SHP 81 -4.9 2.0 1
9HA4777 MSC SEAVIEW SHP 267 7.2 3.0 0
9HA4974 CMA CGM GEMINI SHP 132 8.5 2.5 0
9HA5209 MSC VIRTUOSA SHP 304 11.6 2.9 82
9HA5465 CMA CGM ZEPHYR SHP 45 -6.1 1.4 0
9HA5677 MSC SEASCAPE SHP 37 12.1 2.2 39
9HA5682 MSC WORLD EUROPA SHP 67 -6.3 2.8 0
9HA5844 CMA CGM YUKON SHP 123 5.7 2.1 1
9HJB9 CELEBRITY CONSTELLATION SHP 24 4.6 1.1 0
9HSJ7 DISHA SHP 41 6.7 1.2 0
9V3913 KN ARCADIA SHP 703 7.2 2.1 0
9V5250 UNKNOWN SHP 23 5.0 1.2 0
9V5999 ONE ORPHEUS SHP 59 5.0 1.1 0
9V6625 ENABLE SHP 60 4.6 1.4 0
9V7305 EVER ACME SHP 387 4.5 1.4 0
9V7629 EVER MAST SHP 48 4.7 2.3 0
9V9375 APL LE HAVRE SHP 144 5.6 1.5 0
9V9402 APL BARCELONA SHP 34 13.2 0.8 6
9V9404 APL DUBLIN SHP 132 10.0 3.0 18
9V9450 CAPE AZALEA SHP 679 5.3 4.1 25
A8JM7 CHACABUCO SHP 40 5.2 1.4 1
A9LV SEAPEAK BAHRAIN SHP 17 11.3 1.3 4
AUCE SAGAR NIDHI (AWS) SHP 303 1.8 5.9 112
AUYP SWARNA KRISHNA SHP 0 0.0 0.0 37
AUYQ SWARNA PUSHP SHP 49 4.2 1.9 0
AVBC DESH GARIMA SHP 0 0.0 0.0 50
BKIC EVER LIBRA SHP 50 4.7 1.2 0
BKIY EVER LUCID SHP 44 5.7 1.3 0
C6EP5 GLASGOW VOYAGER SHP 29 5.5 1.4 0
C6FB3 NORWEGIAN PRIMA SHP 91 -4.3 3.5 3
C6TQ6 NORWEGIAN SPIRIT SHP 56 -4.1 4.7 1
C6TX6 NORWEGIAN JEWEL SHP 132 8.4 2.6 2
D5HE8 CAUTIN SHP 22 -5.0 1.6 0
D5HE9 COCHRANE SHP 21 6.2 2.3 0
GXDFFHB UNKNOWN SHP 124 -4.9 1.8 0
H3BV EVER BREED SHP 31 -4.1 0.9 0
LAHR7 STAR KIRKENES SHP 238 4.5 1.7 0
LAQN7 STAR LOEN SHP 28 5.9 3.4 0
LAVN4 STAR HIDRA SHP 59 4.4 1.0 0
MPP7LPS UNKNOWN SHP 25 8.5 1.3 0
NDN4JZX UNKNOWN SHP 32 4.9 1.4 0
ONKG MINERAL NEDERLAND SHP 28 4.6 1.1 1
OUMX2 INDONESIAN BULKER SHP 28 5.2 0.8 0
OWRS2 UNKNOWN SHP 35 6.0 1.3 0
OXSQ2 MAERSK ESSEX SHP 37 9.6 1.7 0
OZIB2 MAERSK LONDRINA SHP 68 6.2 1.5 0
PINX WESTERDAM SHP 32 -4.7 1.7 0
RVJZZZD UNKNOWN SHP 61 4.3 1.7 0
S6CH6 MAERSK SEMAKAU SHP 62 6.5 1.4 2
TNVXRHV UNKNOWN SHP 68 -6.5 1.3 0
TNXNNFX UNKNOWN SHP 36 -5.1 1.5 1
UCSJ UNKNOWN SHP 28 -5.2 6.1 5
V7A2005 MANTA GALATASARAY SHP 310 4.1 1.7 2
V7A4788 MARLIN HESTIA SHP 74 7.8 2.7 1
V7A5254 MARLIN LA PLATA SHP 67 9.1 2.3 0
V7A5868 FRITZI N SHP 40 -4.4 2.7 0
V7A6070 STI MAESTRO SHP 687 4.1 3.2 8
V7A6073 STI MIRACLE SHP 69 4.5 1.8 0
V7A6081 STI MYSTERY SHP 464 4.1 1.0 0
V7A6085 STI MARSHALL SHP 71 8.5 1.2 3
V7A6496 SINGAPORE VOYAGER SHP 29 12.5 1.1 2
V7DI9 STI SLOANE SHP 28 4.5 2.3 1
V7DJ7 STI CONNAUGHT SHP 149 9.3 2.2 6
V7HH2 STI GALLANTRY SHP 30 -5.0 3.9 0
V7QJ3 TRINITY SHP 26 5.8 2.2 1
V7QT7 UNKNOWN SHP 63 7.1 1.7 0
V7UU5 SEAWAYS PECOS SHP 32 7.7 3.4 2
VABC ALGOMA INTREPID SHP 295 7.2 4.2 16
VRCP2 SAGA FRONTIER SHP 24 -4.1 1.4 0
VRDA4 SAGA NAVIGATOR SHP 34 5.1 1.6 0
VRDW2 UNKNOWN SHP 101 -4.3 0.6 0
VRGO3 UNKNOWN SHP 35 7.9 0.6 0
VRME7 UNKNOWN SHP 33 10.0 0.6 1
VRNL2 SEASPAN BRILLIANCE SHP 39 8.7 1.4 1
VRNL9 SEASPAN BRIGHTNESS SHP 91 4.2 2.2 0
VROO4 UNKNOWN SHP 57 11.1 1.4 2
VROX2 MAERSK TAIKUNG SHP 57 6.3 1.3 0
VRQS3 UNKNOWN SHP 42 7.3 2.2 0
VRRH6 UNKNOWN SHP 48 4.9 1.2 0
VRRQ4 CMA CGM COCHIN SHP 186 6.3 1.5 3
VRTF2 UNKNOWN SHP 51 5.4 1.9 0
VRTO4 PARIS EXPRESS SHP 35 8.1 1.1 0
VRTU5 NYSTED MAERSK SHP 98 -5.2 1.0 0
VRVO2 GERDA MAERSK SHP 115 4.2 5.4 0
VRVO3 GERNER MAERSK SHP 54 9.9 1.7 1
VRVP2 SAGA TUCANO SHP 24 4.3 3.0 0
VRWN4 UNKNOWN SHP 28 -5.5 1.2 1
VTUQ SSL THAMIRABARANI SHP 0 0.0 0.0 54
VTZJ UNKNOWN SHP 23 -1.1 8.0 82
VVZU UNKNOWN SHP 27 1.6 0.9 19
VYA2010 SAGINAW SHP 2 -3.4 0.4 24
WSFABLK UNKNOWN SHP 118 6.1 1.0 0
WSIJ STENA IMMACULATE SHP 43 -6.8 1.2 0
YUTPB4M UNKNOWN SHP 81 4.7 1.1 3
ZGFY4 CAJUN SUN SHP 57 -8.7 1.0 0
DPHA1 UNKNOWN CMN 36 -14.5 0.3 807
FRWL1 UNKNOWN TG 1437 4.1 0.7 0
45201 FB 2229 7.2 6.1 1300
JUNE 2024
AIR TEMPERATURE FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
32ST0 UNKNOWN SHP 602 -8.6 0.8 0
3EXY2 UNKNOWN SHP 27 4.0 2.7 0
AUCE SAGAR NIDHI (AWS) SHP 57 4.0 2.7 0
V7ZZ6 SEVEN SEAS SPLENDOR SHP 230 4.2 2.7 0
VRBX7 UNKNOWN SHP 57 4.4 2.0 0
VRCP2 SAGA FRONTIER SHP 24 4.2 2.5 0
VRJV2 MAERSK CAIRO SHP 26 4.2 2.3 0
VROO3 YM WELLNESS SHP 392 4.1 3.0 0
VVZU UNKNOWN SHP 31 4.2 4.1 0
WDA7827 KILO MOANA (AWS) SHP 513 -2.2 4.7 538
WDG8082 OCEAN EAGLE SHP 27 6.5 2.8 0
WDK4356 GEORGE III SHP 32 4.5 2.0 0
WMKA MAERSK KINLOSS SHP 23 5.5 3.2 0
WTEG NOAA REUBEN LASKER (AWS) SHP 895 6.7 2.2 6
WUR8857 LEE A. TREGURTHA SHP 92 -3.7 8.3 320
BLIA2 UNKNOWN CMN 1440 4.5 1.3 0
ELXC1 UNKNOWN CMN 2872 -4.3 3.0 0
MLSC1 UNKNOWN CMN 6052 -4.6 3.6 0
CECC1 UNKNOWN TG 1435 -4.3 4.2 0
NTBC1 UNKNOWN TG 1434 -4.3 1.9 0
PRDA2 UNKNOWN TG 1415 -4.1 3.4 18
41052 FB 2031 4.6 1.2 0
45006 FB 4224 -5.6 2.4 15
45028 FB 4287 -4.0 3.7 3
45136 FB 708 -4.5 2.3 0
45165 FB 3966 5.8 2.3 0
45201 FB 2040 -10.2 3.3 1489
46027 FB 3602 -4.9 3.5 0
46276 FB 1389 -4.6 3.8 0
46279 FB 1421 -4.6 3.7 0
62155 FB 0 0.0 0.0 29
JUNE 2024
WIND DIRECTION FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
2GLI9 EVER LINKING SHP 79 25.4 35.3 27
2WDQB3E UNKNOWN SHP 35 -32.2 44.3 5
32ST0 UNKNOWN SHP 404 6.9 40.1 198
3AQQXHY UNKNOWN SHP 26 34.3 39.6 3
3E5835 VST LYRA SHP 28 -5.7 27.7 10
3EBY2 UNKNOWN SHP 15 14.6 34.8 7
3EPL4 MSC POESIA SHP 222 -30.4 37.9 14
3ESK5 UNKNOWN SHP 57 -177.8 17.2 4
3EXY2 UNKNOWN SHP 20 165.0 50.5 7
3SPA4AK UNKNOWN SHP 103 43.8 45.4 34
3WUT68S UNKNOWN SHP 65 137.3 9.1 2
4HND7BN UNKNOWN SHP 48 47.2 42.6 3
4VKYNVK UNKNOWN SHP 50 62.9 48.9 12
5BDR6 SPECTRUM OF THE SEAS SHP 27 -45.2 38.6 7
5KS8XHV UNKNOWN SHP 37 -34.4 32.3 2
5LCZ4 YM TOGETHER SHP 14 -52.5 32.3 6
5LHX2 SEOUL EXPRESS SHP 30 119.4 44.1 6
6JQBUAG UNKNOWN SHP 70 34.9 37.7 7
7JUL UNKNOWN SHP 109 -36.6 38.4 14
7KHY UNKNOWN SHP 44 -139.8 6.2 2
7KMV UNKNOWN SHP 69 -101.8 12.0 1
8TAO MATSYA VRUSHTI (AWS) SHP 117 -139.5 35.8 263
9FV386K UNKNOWN SHP 46 93.6 4.1 0
9HA2006 ASEEM SHP 24 -39.9 34.0 2
9HA3793 CMA CGM LITANI SHP 22 12.6 20.1 11
9HA4330 MEIN SCHIFF 6 SHP 32 -54.6 42.0 6
9HA4866 TORONTO SHP 38 -119.7 33.2 3
9HA5077 CMA CGM MEXICO SHP 36 40.8 42.7 3
9HA5465 CMA CGM ZEPHYR SHP 44 -106.4 8.2 1
9HA5677 MSC SEASCAPE SHP 70 125.4 24.8 7
9HJB9 CELEBRITY CONSTELLATION SHP 38 48.7 48.3 6
9HJC9 CELEBRITY SUMMIT SHP 120 5.3 52.9 40
9HSJ7 DISHA SHP 33 49.0 37.2 8
9HYO7 RAAHI SHP 22 -75.6 44.6 12
9V2733 SHAHRASTANI SHP 23 1.7 37.2 9
9V5250 UNKNOWN SHP 17 -8.3 34.9 6
9V6171 MAERSK MEMPHIS SHP 21 99.1 5.5 1
9V6627 ELECTRA SHP 33 92.4 3.6 0
9V7730 MAERSK IDAHO SHP 30 -101.2 14.0 2
9V7754 MAERSK WALLIS SHP 19 -133.2 0.6 2
9V8208 UNKNOWN SHP 79 -45.1 44.2 14
9V8426 GREEN ENERGY SHP 33 6.8 34.1 13
9V9288 EVER LAWFUL SHP 15 155.8 34.7 26
9V9402 APL BARCELONA SHP 28 156.1 26.0 12
9V9450 CAPE AZALEA SHP 417 -82.6 55.1 287
AMOHK02 UNKNOWN SHP 27 174.4 40.9 117
ARCGM3F UNKNOWN SHP 70 -137.0 28.7 8
ATVK MATSYA VARSHINI (AWS) SHP 273 -6.9 48.3 155
AUCE SAGAR NIDHI (AWS) SHP 224 162.1 52.2 184
AUYP SWARNA KRISHNA SHP 34 30.1 32.9 2
AWXA APJ ANGAD 2 SHP 31 -111.0 28.9 17
AWXY APJ BABIR ANAND SHP 15 173.1 9.3 5
BATFR23 UNKNOWN SHP 48 -32.8 38.2 6
BFHM5UQ UNKNOWN SHP 26 173.8 18.0 2
BKIY EVER LUCID SHP 41 30.4 34.7 4
BLSFV3U UNKNOWN SHP 59 -12.4 36.6 25
C6EP5 GLASGOW VOYAGER SHP 29 -87.3 3.8 0
C6RN3 NORWEGIAN SUN SHP 16 16.9 38.6 8
C6TQ6 NORWEGIAN SPIRIT SHP 54 -101.2 8.7 3
C6VG7 NORWEGIAN PEARL SHP 128 -2.5 50.6 59
C6VG8 NORWEGIAN GEM SHP 24 -154.0 23.3 4
C6WK7 NORWEGIAN JADE SHP 33 -105.3 0.3 2
C6WT6 UNKNOWN SHP 68 -157.7 16.9 4
CFK5152 CSL ST-LAURENT SHP 26 -32.2 34.8 4
D5YK5 RIXTA OLDENDORFF SHP 18 -7.6 49.1 7
D5ZH9 EVER FAST SHP 15 -38.9 42.7 10
DJYFH6F UNKNOWN SHP 17 10.4 42.1 11
DUUFU3N UNKNOWN SHP 25 30.8 31.5 2
ETWE69U UNKNOWN SHP 63 31.4 38.8 6
H3BV EVER BREED SHP 23 9.6 33.2 8
H3FV MSC OPERA SHP 50 -41.2 42.8 7
HAY34MT UNKNOWN SHP 17 -83.6 46.8 9
JWR4PHH UNKNOWN SHP 59 -120.8 10.3 4
KAO107 R/V KIYI SHP 17 4.8 47.7 7
KPLU3TX UNKNOWN SHP 30 -115.8 7.1 2
KUL7SEK UNKNOWN SHP 59 109.2 12.8 1
LYHH6ZZ UNKNOWN SHP 37 143.7 14.9 2
MLTH5 EVER SMILE SHP 17 0.8 38.1 7
MYUCXDW UNKNOWN SHP 36 -46.7 42.9 6
NWS0003 USCGC HEALY (AWS) SHP 336 4.6 48.8 117
ONKG MINERAL NEDERLAND SHP 11 -120.0 43.0 18
OXFU2 OLUF MAERSK SHP 26 82.3 1.8 0
OYOS2 SKAGEN MAERSK SHP 51 137.2 12.0 2
QNZLUHE UNKNOWN SHP 19 37.2 31.4 1
RVJZZZD UNKNOWN SHP 53 42.7 37.1 8
S6LT3 UNKNOWN SHP 46 -115.4 1.4 2
SCUEZ5G MAERSK GAIRLOCH SHP 64 31.1 32.6 2
SMLQ UNKNOWN SHP 35 4.8 37.4 12
UAEV UNKNOWN SHP 20 -129.1 12.6 2
UBRI5 UNKNOWN SHP 46 -40.2 42.1 10
UERK UNKNOWN SHP 17 -2.2 44.5 7
V2QX5 REGULA SHP 35 -144.5 2.6 3
V7A5716 UNKNOWN SHP 18 6.5 29.1 10
V7DI9 STI SLOANE SHP 28 104.2 14.0 1
V7EQ4 STI BROADWAY SHP 24 -98.1 7.3 2
V7HH2 STI GALLANTRY SHP 28 37.5 30.1 2
VDCY NACC ARGONAUT (AWS) SHP 82 -14.8 46.7 36
VRDG3 MAERSK ANTWERP SHP 13 22.4 38.8 22
VRDN3 UNKNOWN SHP 34 4.3 32.8 12
VRDU8 UNKNOWN SHP 46 98.6 1.6 1
VRDW2 UNKNOWN SHP 88 -30.2 30.7 13
VRGO3 UNKNOWN SHP 31 -30.8 36.2 4
VRJT8 COSCO EXCELLENCE SHP 28 -31.6 32.9 2
VRJZ9 MINERAL CHARLIE SHP 93 -18.3 40.2 31
VRLA6 MINERAL CLOUDBREAK SHP 47 -36.0 33.6 6
VRLK2 JIANGMEN TRADER SHP 8 128.4 33.0 12
VRME6 UNKNOWN SHP 28 104.5 33.8 1
VRMX7 UNKNOWN SHP 52 -151.3 10.6 3
VRMX8 UNKNOWN SHP 23 -95.5 5.8 1
VRNA8 SEASPAN YANGTZE SHP 19 -98.3 13.8 1
VRNL2 SEASPAN BRILLIANCE SHP 38 -106.6 14.4 2
VROB9 SEASPAN BEACON SHP 62 -63.9 54.8 17
VROO3 YM WELLNESS SHP 225 -3.7 40.3 167
VRTB6 SEAL ISLAND SHP 38 -37.9 28.2 1
VRTF2 UNKNOWN SHP 28 -24.9 37.0 23
VRVP2 SAGA TUCANO SHP 12 -122.9 30.7 12
VRZK8 UNKNOWN SHP 46 -29.7 40.1 18
VTJR UNKNOWN SHP 155 -98.7 43.7 138
VTSJ UNKNOWN SHP 301 -68.8 37.0 59
VTVW APJ INDRANI SHP 26 117.2 24.3 26
VTZJ UNKNOWN SHP 23 141.5 25.1 82
VVZU UNKNOWN SHP 29 118.8 21.1 18
VWTI KALIGHAT (AWS) SHP 81 156.6 37.2 355
VYA2010 SAGINAW SHP 23 -130.6 27.9 9
WACW POLAR DISCOVERY SHP 23 123.1 2.3 2
WBP3210 NATHANIEL B. PALMER (AWS) SHP 490 13.9 38.6 210
WCY2920 KENNICOTT SHP 1210 5.7 47.7 418
WDC8307 SAMUEL DE CHAMPLAIN SHP 21 143.7 7.7 2
WDE6486 MEDEIA SHP 544 -7.5 45.1 210
WDE7804 KESTREL SHP 576 -2.6 51.4 251
WDH7554 PHILIP R. CLARKE SHP 78 -134.5 33.3 11
WDH7557 JOHN G. MUNSON SHP 100 -37.4 40.3 15
WDH7558 EDWIN H. GOTT SHP 32 -42.1 42.7 7
WDK8035 STEADFAST SHP 476 4.8 48.7 275
WL3972 HERBERT C. JACKSON SHP 393 -43.4 38.4 60
WLIY TEXAS VOYAGER SHP 37 34.4 40.8 4
WSNA MAERSK CHESAPEAKE SHP 18 -129.9 43.4 5
WSQ2674 ROBERT GORDON SPROUL (AWS SHP 635 35.3 40.0 74
WTEA NOAA THOMAS JEFFERSON (AW SHP 940 -30.3 30.1 56
WYM9567 AURORA SHP 1202 -5.3 53.3 529
WZD2465 H. LEE WHITE SHP 62 -68.6 46.1 14
WZE4270 LECONTE SHP 992 -1.5 54.0 511
WZE4539 JOHN J. BOLAND SHP 24 31.8 35.0 3
XSPQWLM UNKNOWN SHP 61 -37.6 42.9 9
YUTPB4M UNKNOWN SHP 81 32.6 28.2 3
ZDLBGTP UNKNOWN SHP 43 -30.7 31.9 5
ZDRG3 CONQUEROR SHP 16 137.2 29.7 12
ZMMC MOANA CHIEF (AWS) SHP 207 17.1 43.2 72
ACXS1 UNKNOWN CMN 2093 -19.0 38.8 775
AMAA2 UNKNOWN CMN 1322 -32.7 35.3 118
ANMN6 UNKNOWN CMN 1372 172.3 45.8 1492
BLIA2 UNKNOWN CMN 1042 23.4 45.4 398
BLTA2 UNKNOWN CMN 507 -8.1 49.3 186
CDXA2 UNKNOWN CMN 3626 30.8 38.1 462
CPXC1 UNKNOWN CMN 3516 171.3 54.4 3511
DESW1 UNKNOWN CMN 595 -49.2 48.6 125
ELXC1 UNKNOWN CMN 2471 54.1 42.7 401
EROA2 UNKNOWN CMN 520 12.3 42.1 181
ERXA2 UNKNOWN CMN 3159 14.7 41.0 1078
FFIA2 UNKNOWN CMN 501 16.3 45.6 218
FILA2 UNKNOWN CMN 914 -4.2 52.9 516
GEXA2 UNKNOWN CMN 3093 -16.9 48.3 1075
GTRM4 UNKNOWN CMN 3158 4.4 49.4 1162
GUXA2 UNKNOWN CMN 2759 5.8 53.7 1358
HAXA2 UNKNOWN CMN 2258 -94.6 53.1 1961
HMSA2 UNKNOWN CMN 2668 76.7 48.6 1420
ICYA2 UNKNOWN CMN 2982 54.2 49.4 1268
ILOH1 UNKNOWN CMN 4124 -18.7 52.9 2764
JCRN4 UNKNOWN CMN 2587 -46.3 28.6 293
JLXA2 UNKNOWN CMN 2910 -11.9 48.2 1237
KGCA2 UNKNOWN CMN 5848 43.7 42.5 1075
LCNA2 UNKNOWN CMN 587 57.2 38.4 118
LIXA2 UNKNOWN CMN 2882 13.2 51.1 1330
MCYI3 UNKNOWN CMN 3507 59.8 36.7 615
MRKA2 UNKNOWN CMN 1055 8.9 46.0 382
MRNA2 UNKNOWN CMN 3009 -25.1 49.2 1252
MVXA2 UNKNOWN CMN 2597 -173.6 53.0 1616
MXXA2 UNKNOWN CMN 3023 -22.6 45.7 1190
NAXR1 UNKNOWN CMN 2183 80.0 34.8 697
NKXA2 UNKNOWN CMN 2419 92.2 54.7 1789
NPDW3 UNKNOWN CMN 1039 -39.9 36.7 245
OWXO1 UNKNOWN CMN 1679 -3.4 44.4 1201
PAXA2 UNKNOWN CMN 2650 -7.5 41.5 915
PBFW1 UNKNOWN CMN 1934 17.4 44.8 887
PBPA2 UNKNOWN CMN 319 -165.7 44.4 378
PCLM4 UNKNOWN CMN 1974 106.1 49.8 2303
PCNT2 UNKNOWN CMN 6791 -38.4 21.7 156
PGXA2 UNKNOWN CMN 2414 -158.4 52.3 1770
PNGW3 UNKNOWN CMN 3032 -28.2 44.6 1288
POTA2 UNKNOWN CMN 636 -176.8 49.1 799
PRTA2 UNKNOWN CMN 381 168.2 50.0 318
PTLA2 UNKNOWN CMN 2774 -81.5 54.7 1487
RIXA2 UNKNOWN CMN 2890 3.6 52.9 1317
RKXF1 UNKNOWN CMN 2538 43.4 38.1 342
SCXA2 UNKNOWN CMN 2964 -11.8 48.0 1245
SDIA2 UNKNOWN CMN 1457 -0.5 43.6 598
SFXC1 UNKNOWN CMN 722 44.9 26.7 48
SHXA2 UNKNOWN CMN 2676 29.5 48.8 1539
SISA2 UNKNOWN CMN 444 -3.4 54.4 260
SISW1 UNKNOWN CMN 2406 157.0 49.8 1835
SJOM4 UNKNOWN CMN 3186 -3.5 40.8 1075
SKXA2 UNKNOWN CMN 2873 -21.4 48.2 1323
SLVM5 UNKNOWN CMN 3136 -11.6 49.7 1414
STXA2 UNKNOWN CMN 2961 6.0 52.2 1249
SVNM4 UNKNOWN CMN 3377 -60.5 36.8 720
TCMW1 UNKNOWN CMN 4585 19.2 46.7 2423
TIBC1 UNKNOWN CMN 1636 -87.6 46.4 1233
TKEA2 UNKNOWN CMN 2467 -5.4 49.7 1787
WKXA1 UNKNOWN CMN 1814 -6.1 44.5 1038
WPOW1 UNKNOWN CMN 410 -93.3 51.9 310
YRSV2 UNKNOWN CMN 1713 -4.6 47.5 1162
ANPT2 UNKNOWN TG 1423 -45.8 15.0 13
ANTA2 UNKNOWN TG 851 -0.4 55.9 549
ANVC1 UNKNOWN TG 1360 -37.7 26.8 75
APCF1 UNKNOWN TG 1307 31.0 36.7 131
ATKA2 UNKNOWN TG 1262 30.6 34.8 168
BMTW1 UNKNOWN TG 584 108.5 50.2 850
CECC1 UNKNOWN TG 1025 65.0 46.9 410
CHAO3 UNKNOWN TG 938 -11.8 46.8 468
CNDO1 UNKNOWN TG 968 -4.3 41.2 467
CPMW1 UNKNOWN TG 1265 38.2 37.1 169
CPNW1 UNKNOWN TG 1261 33.6 37.3 162
CRVA2 UNKNOWN TG 800 1.7 51.2 634
DILA1 UNKNOWN TG 1310 30.6 34.7 126
DULM5 UNKNOWN TG 976 -29.3 46.1 457
FTPC1 UNKNOWN TG 1414 -36.2 22.3 20
HLNM4 UNKNOWN TG 1267 -44.3 37.1 167
ILOH1 UNKNOWN TG 847 -19.9 52.5 579
JNEA2 UNKNOWN TG 1042 -4.3 47.0 393
KECA2 UNKNOWN TG 1034 -15.2 42.1 400
KWHH1 UNKNOWN TG 919 -157.5 47.5 492
LJAC1 UNKNOWN TG 1333 32.9 36.9 102
MGPT2 UNKNOWN TG 1351 -37.2 30.5 85
MGZP4 UNKNOWN TG 1003 -18.7 47.9 432
NCHT2 UNKNOWN TG 1299 42.5 35.8 138
NKTA2 UNKNOWN TG 1257 -48.3 42.9 176
NTBC1 UNKNOWN TG 976 -35.6 43.8 458
OKXC1 UNKNOWN TG 990 34.7 34.7 67
PACT2 UNKNOWN TG 1404 -30.2 17.3 31
PCGT2 UNKNOWN TG 1411 -89.2 5.2 0
PCNT2 UNKNOWN TG 1400 -34.5 21.8 30
PLXA2 UNKNOWN TG 801 86.2 50.9 632
PORO3 UNKNOWN TG 794 -158.5 49.6 640
PRHH1 UNKNOWN TG 1299 -47.8 18.0 134
PSBC1 UNKNOWN TG 1324 99.9 12.0 110
PSLC1 UNKNOWN TG 896 90.6 49.7 539
PTAW1 UNKNOWN TG 415 22.2 44.9 302
PTWW1 UNKNOWN TG 1042 77.5 52.8 391
RLOT2 UNKNOWN TG 629 -97.7 5.5 1
RTYC1 UNKNOWN TG 808 122.0 33.1 626
TCMW1 UNKNOWN TG 931 19.3 47.2 502
VDZA2 UNKNOWN TG 939 83.5 52.7 495
44013 FB 3962 -31.8 33.5 280
44022 FB 598 -15.1 41.6 229
44043 FB 1189 1.5 49.1 716
44488 FB 681 32.7 32.5 33
45013 FB 1317 32.3 38.5 123
45025 FB 1530 -6.1 43.4 529
45027 FB 3094 -22.7 41.7 1181
45028 FB 3235 -30.5 40.7 1055
45135 FB 664 -33.5 34.6 47
45139 FB 509 -11.9 39.5 203
45140 FB 275 12.1 50.8 233
45144 FB 220 -31.8 32.8 17
45159 FB 577 -57.7 44.1 133
45164 FB 567 38.4 40.9 59
45165 FB 3264 -61.6 43.1 706
45174 FB 2796 -45.2 36.1 953
45186 FB 1626 -104.3 40.0 1776
45198 FB 3260 -55.3 49.2 710
45199 FB 1127 -32.0 38.3 313
45204 FB 3314 42.6 40.0 736
45208 FB 3089 39.8 36.4 392
46022 FB 2381 25.6 29.1 1859
46027 FB 2679 165.1 42.1 1505
46050 FB 3076 -5.8 32.1 1165
46054 FB 4016 30.4 29.0 222
46060 FB 541 59.9 49.5 162
46081 FB 455 88.0 54.0 251
46088 FB 2854 15.8 50.7 1385
46092 FB 452 144.9 38.0 261
46131 FB 523 0.1 51.5 190
46145 FB 589 58.1 36.4 118
46146 FB 423 -77.2 49.6 289
46185 FB 319 56.3 38.1 395
46303 FB 476 -16.1 48.8 235
46304 FB 542 -66.3 46.6 171
51000 FB 4235 92.1 9.0 2
51003 FB 4241 -91.6 4.1 0
62130 FB 625 89.5 0.0 0
63057 FB 713 151.4 0.0 2
63110 FB 713 89.7 5.9 1
13009 DB 259 41.1 36.2 28
23095 DB 201 -30.8 11.8 0
23454 DB 180 86.1 0.3 0
31002 DB 296 119.8 18.1 2
31005 DB 319 164.0 19.7 7
51018 DB 595 -81.3 0.4 0
51019 DB 711 -117.2 5.0 2
52003 DB 676 -30.7 28.7 37
JUNE 2024
WIND SPEED FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
5LCZ4 YM TOGETHER SHP 20 5.4 4.3 0
AMOHK02 UNKNOWN SHP 0 0.0 0.0 144
AWEQ APJ MAHAKALI SHP 27 7.6 4.4 11
C6EF4 NORWEGIAN ENCORE SHP 142 5.4 4.3 5
VRTF2 UNKNOWN SHP 51 5.7 3.2 0
VTGP LOURDES SHP 23 -5.7 2.3 0
VTZJ UNKNOWN SHP 105 -6.0 2.7 0
ANVC1 UNKNOWN TG 1435 -6.3 2.3 0
OOUH1 UNKNOWN TG 1431 -6.0 2.2 0
31002 DB 298 -5.3 1.6 0
JUNE 2024
SEA SURFACE TEMP. FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
32ST0 UNKNOWN SHP 602 -9.2 0.5 0
3FLO4 MSC MAGNIFICA SHP 34 -4.2 2.6 0
9VFV5 MAERSK ALGOL SHP 66 4.9 1.5 0
CFK5152 CSL ST-LAURENT SHP 19 -4.9 6.6 3
GHM629S UNKNOWN SHP 56 4.8 1.5 0
GNJ2FHW UNKNOWN SHP 24 -5.2 0.3 0
SDIA UNKNOWN SHP 109 4.1 3.3 0
VABC ALGOMA INTREPID SHP 114 -5.3 4.3 10
VRNS2 UNKNOWN SHP 21 4.6 2.3 0
VTGP LOURDES SHP 23 -4.5 1.1 0
WBP3210 NATHANIEL B. PALMER (AWS) SHP 694 -10.0 2.4 6
WSQ2674 ROBERT GORDON SPROUL (AWS SHP 709 -2.5 6.0 0
ZDRG3 CONQUEROR SHP 25 -4.2 5.3 1
MLSC1 UNKNOWN CMN 1818 -4.7 6.1 508
RLOT2 UNKNOWN CMN 6919 4.2 2.5 0
BATN6 UNKNOWN TG 1426 -4.0 3.7 12
HIST2 UNKNOWN TG 1434 4.7 2.7 0
ICAC1 UNKNOWN TG 1434 -4.6 3.1 0
KPTN6 UNKNOWN TG 1417 -4.7 3.3 22
LCLL1 UNKNOWN TG 1307 4.5 5.9 0
LJAC1 UNKNOWN TG 1349 -3.5 7.1 86
LOPW1 UNKNOWN TG 1434 2.8 6.8 0
MZXC1 UNKNOWN TG 1419 -2.5 6.3 15
PORO3 UNKNOWN TG 1434 -5.6 3.5 0
PRDA2 UNKNOWN TG 1362 -5.7 4.0 50
PSLC1 UNKNOWN TG 1435 -4.8 4.9 0
RDDA2 UNKNOWN TG 1422 -6.9 3.7 11
RLOT2 UNKNOWN TG 630 4.3 2.3 0
SDBC1 UNKNOWN TG 1434 -1.7 6.4 0
SEIM1 UNKNOWN TG 1392 -4.0 4.2 47
SWLA2 UNKNOWN TG 1434 4.3 3.1 0
WAHV2 UNKNOWN TG 1439 4.0 1.3 0
YATA2 UNKNOWN TG 1434 4.3 1.5 0
45159 FB 686 -4.0 4.2 24
45165 FB 3970 8.5 1.8 0
45186 FB 3486 -4.8 3.6 0
45187 FB 3346 -5.5 3.8 147
45201 FB 2299 -3.8 5.7 1229
46027 FB 4119 -4.9 4.1 36
46092 FB 692 -5.2 5.9 21
46181 FB 714 5.6 4.8 0
46224 FB 1439 -3.1 6.8 0
46240 FB 1430 -4.1 5.6 0
46254 FB 1432 -2.9 7.0 4
46256 FB 1438 -5.1 3.3 0
46266 FB 1379 -3.0 7.7 59
46273 FB 1430 -2.9 7.0 10
46274 FB 1354 -3.2 8.2 79
46275 FB 1352 -3.3 7.2 37
46276 FB 1258 -4.0 6.9 178
46279 FB 1262 -3.9 6.9 173
TOTAL NUMBER OF OBSERVATIONS FOR JUNE 2024 (EXCLUDING DUPLICATES
AND THOSE FROM CALLSIGN 'SHIP') WAS 2130889. TOTAL NUMBER OF
OBSERVATIONS FROM CALLSIGN 'SHIP' (EXCLUDING DUPLICATES) WAS 121.
TOTAL NUMBER OF IDS WAS 2574.
