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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
SEPTEMBER 2024
SEA-LEVEL PRESSURE FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
2CYD8 UNKNOWN SHP 36 -4.8 0.9 0
32ST0 UNKNOWN SHP 569 9.7 1.9 50
3E3566 UNKNOWN SHP 62 5.1 1.9 0
3ETR7 MSC FANTASIA SHP 40 9.0 2.9 3
3FFA5 MSC DIVINA SHP 58 13.2 2.0 13
3FLO4 MSC MAGNIFICA SHP 49 7.2 5.1 2
3FOA6 MSC PREZIOSA SHP 22 5.6 3.4 0
3GFKKCC UNKNOWN SHP 26 5.3 1.8 0
7KBS UNKNOWN SHP 21 5.6 0.6 0
7KCR UNKNOWN SHP 22 5.5 3.2 0
9HA3062 MEIN SCHIFF 3 SHP 67 -4.7 1.2 0
9HA3513 MEIN SCHIFF 4 SHP 51 5.5 1.1 0
9HA3793 CMA CGM LITANI SHP 12 14.4 0.7 60
9HA4198 UNKNOWN SHP 45 6.3 2.9 0
9HA4638 MSC SEASIDE SHP 142 7.8 2.7 2
9HA4777 MSC SEAVIEW SHP 336 4.2 4.4 2
9HA5180 APL SENTOSA SHP 20 6.4 1.3 0
9HA5209 MSC VIRTUOSA SHP 400 11.6 3.2 223
9HA5677 MSC SEASCAPE SHP 21 9.6 2.2 119
9HA5682 MSC WORLD EUROPA SHP 48 -4.7 4.2 1
9HA5823 EXPLORA 1 SHP 33 6.2 2.2 0
9HA5844 CMA CGM YUKON SHP 47 5.5 1.0 0
9HJB9 CELEBRITY CONSTELLATION SHP 106 4.3 2.1 1
9V3913 KN ARCADIA SHP 575 5.5 1.5 0
9V3964 PSU SEVENTH SHP 76 7.8 1.6 0
9V5246 MAERSK SHEERNESS SHP 28 5.3 1.0 0
9V5247 MAERSK SOPHIA SHP 39 4.8 1.5 0
9V6627 ELECTRA SHP 35 6.4 1.4 0
9V7305 EVER ACME SHP 45 5.8 2.5 0
9V7629 EVER MAST SHP 46 4.2 2.6 0
9V8372 UNKNOWN SHP 28 7.2 0.5 0
9V9148 UNKNOWN SHP 21 4.0 0.7 0
9V9375 APL LE HAVRE SHP 175 5.1 2.1 0
9V9402 APL BARCELONA SHP 38 12.5 1.1 5
9V9404 APL DUBLIN SHP 145 8.0 2.5 0
9V9450 CAPE AZALEA SHP 703 4.4 2.5 0
9V9574 MANIFESTO SHP 45 4.0 2.5 0
A8AK7 UNKNOWN SHP 22 4.7 1.1 0
A9LV SEAPEAK BAHRAIN SHP 20 12.8 1.1 2
ATAH2 APJ SETHU SHP 24 -4.3 1.9 0
AUBE DESH RAKSHAK SHP 4 -2.2 0.8 84
BHJG EVER ARM SHP 26 7.8 1.2 0
BKIY EVER LUCID SHP 95 5.2 1.7 3
C6EI3 APOLLO VOYAGER SHP 33 4.2 0.9 0
C6FB3 NORWEGIAN PRIMA SHP 72 -6.7 1.8 8
C6TX6 NORWEGIAN JEWEL SHP 85 4.7 1.9 0
CQ2132 ALS HERCULES SHP 36 6.5 5.3 0
D5264 MAERSK LABREA SHP 86 5.8 2.4 0
D5AD8 TIRUA SHP 45 10.3 2.4 6
D5ZH9 EVER FAST SHP 61 4.3 3.6 0
DKK5B7W UNKNOWN SHP 34 4.8 0.8 0
ELYB6 BERTOLLE SHP 25 8.6 1.8 0
HOPW MSC LIRICA SHP 69 -4.3 2.0 0
JCP83EY UNKNOWN SHP 25 4.7 1.3 0
KBYV56K UNKNOWN SHP 29 9.7 1.0 0
KIAB MATSONIA SHP 32 5.3 1.0 0
LAHR7 STAR KIRKENES SHP 133 6.1 1.2 0
LAMP5 STAR ISTIND SHP 31 -4.0 1.8 0
LAPE7 STAR LIMA SHP 32 5.3 2.4 0
LAQL7 STAR LOFOTEN SHP 52 5.2 1.4 0
MJKZ4 EVER SHINE SHP 26 5.5 3.4 0
MRVWWQV UNKNOWN SHP 30 -0.2 3.1 11
NDN4JZX UNKNOWN SHP 41 4.2 2.6 0
ONLA UNKNOWN SHP 29 9.5 4.2 8
OXSQ2 MAERSK ESSEX SHP 32 10.8 1.0 0
OZHS2 SALLY MAERSK SHP 89 6.6 1.0 0
S6CH6 MAERSK SEMAKAU SHP 26 5.3 1.1 0
SBPQ UNKNOWN SHP 92 -4.5 0.3 0
SCY6TVD UNKNOWN SHP 44 4.0 1.1 0
SKEC UNKNOWN SHP 0 0.0 0.0 27
TNVXRHV UNKNOWN SHP 25 -6.0 0.7 0
UAST UNKNOWN SHP 0 0.0 0.0 24
UBBO5 UNKNOWN SHP 18 -11.0 1.9 4
UHXO UNKNOWN SHP 38 4.4 3.9 1
V7A4788 MARLIN HESTIA SHP 105 9.8 2.0 5
V7A5254 MARLIN LA PLATA SHP 524 9.7 1.6 25
V7A6081 STI MYSTERY SHP 316 4.7 1.4 0
V7A6082 STI MODEST SHP 616 4.2 3.4 1
V7A6496 SINGAPORE VOYAGER SHP 47 11.4 1.6 7
V7A6497 PASCAGOULA VOYAGER SHP 28 6.9 1.9 0
V7A6509 GLASGOW VOYAGER SHP 137 8.3 1.5 0
V7BL6 GARNET EXPRESS SHP 43 8.4 3.6 2
V7DJ7 STI CONNAUGHT SHP 80 8.5 1.3 0
V7HH2 STI GALLANTRY SHP 26 -6.0 3.0 0
V7QK9 SEVEN SEAS EXPLORER SHP 296 4.3 1.7 2
V7QT7 UNKNOWN SHP 32 7.6 1.3 0
VRBH6 SEASPAN HAMBURG SHP 40 5.6 2.5 4
VRCI8 SAGA EXPLORER SHP 42 5.0 1.7 0
VRDA4 SAGA NAVIGATOR SHP 39 4.7 1.1 0
VRDW2 UNKNOWN SHP 115 -4.4 0.8 0
VREX4 UNKNOWN SHP 19 10.0 1.5 1
VRGO6 UNKNOWN SHP 23 -6.0 1.0 0
VRJS2 UNKNOWN SHP 25 -4.7 3.1 0
VRMD2 SWAN RIVER SHP 24 5.6 1.3 0
VRME7 UNKNOWN SHP 28 11.0 0.6 0
VROO4 UNKNOWN SHP 44 10.1 1.8 0
VRQS3 UNKNOWN SHP 24 10.2 2.0 0
VRRB6 SHANDONG DA DE SHP 89 9.6 2.5 5
VRRQ4 CMA CGM COCHIN SHP 68 6.3 1.1 0
VRTO4 PARIS EXPRESS SHP 30 9.9 1.3 0
VRTU5 NYSTED MAERSK SHP 33 -5.6 0.9 0
VRVC3 ZIM MOUNT ELBRUS SHP 79 7.2 3.6 0
VRVC6 UNKNOWN SHP 24 4.1 0.4 0
VRVC9 ONE FOREVER SHP 49 -8.2 2.2 0
VRVO3 GERNER MAERSK SHP 60 9.1 1.0 0
VRVP3 GUSTAV MAERSK SHP 45 6.3 1.5 0
VRVR2 UNKNOWN SHP 29 -7.9 0.9 0
VRWN4 UNKNOWN SHP 22 -5.8 0.9 0
VRZK8 UNKNOWN SHP 75 4.6 1.1 0
VTUQ SSL THAMIRABARANI SHP 0 0.0 0.0 29
VTVW APJ INDRANI SHP 17 -2.5 2.4 27
VWTI KALIGHAT (AWS) SHP 46 -2.4 6.4 1
WCY2920 KENNICOTT SHP 1649 -4.0 1.4 3
WLZ9WHS UNKNOWN SHP 21 -4.9 0.7 0
WSFABLK UNKNOWN SHP 66 -4.5 1.0 0
XYKWGQR UNKNOWN SHP 55 5.2 1.9 1
YUTPB4M UNKNOWN SHP 71 4.8 2.1 0
ZCDY2 UNKNOWN SHP 79 4.8 2.8 0
ZCEU8 ONTARIO EXPRESS SHP 39 5.1 1.1 0
ZGFY4 CAJUN SUN SHP 38 -8.6 0.6 0
DPHA1 UNKNOWN CMN 361 -1.0 3.4 6222
FRWL1 UNKNOWN TG 1434 4.7 0.9 5
LPNM4 UNKNOWN TG 0 0.0 0.0 1437
41082 FB 4298 -8.2 1.3 0
45201 FB 3088 5.9 6.4 751
SEPTEMBER 2024
AIR TEMPERATURE FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
32ST0 UNKNOWN SHP 619 -11.7 0.6 0
9HA5823 EXPLORA 1 SHP 33 4.5 3.1 0
9V2780 RTM FLINDERS SHP 50 4.5 1.2 0
9V5578 KEEGAN NO. 1 SHP 60 5.9 2.9 0
9V9400 APL SALALAH SHP 118 4.5 1.6 0
ONGR MINERAL STONEHENGE SHP 31 4.1 1.8 0
ONKJ LA SELVA SHP 28 5.3 2.4 0
UAST UNKNOWN SHP 22 -8.6 3.4 2
UBBO5 UNKNOWN SHP 1 0.0 0.0 19
USS8SCM MATSON WAIKIKI SHP 24 4.2 1.9 0
V7A5868 FRITZI N SHP 36 4.7 2.7 0
V7EQ4 STI BROADWAY SHP 29 4.5 1.3 0
VRLQ9 TAMPA BAY SHP 26 4.5 1.4 0
WDG5141 OCEAN WIND SHP 37 4.5 3.1 0
WDH7560 PRESQUE ISLE SHP 45 6.8 5.8 4
WDK4356 GEORGE III SHP 32 4.1 2.0 0
WTEG NOAA REUBEN LASKER (AWS) SHP 1066 6.7 1.8 14
WUR8857 LEE A. TREGURTHA (AWS) SHP 8 6.2 5.3 255
BLIA2 UNKNOWN CMN 1439 4.1 1.0 0
CPXC1 UNKNOWN CMN 7761 -4.6 2.8 1
ELXC1 UNKNOWN CMN 2872 -4.5 3.7 7
FHPF1 UNKNOWN CMN 16 -1.8 3.0 6
MLSC1 UNKNOWN CMN 6699 -4.9 3.9 17
CECC1 UNKNOWN TG 1426 -4.7 4.1 12
NTBC1 UNKNOWN TG 1439 -4.5 2.7 0
PSLC1 UNKNOWN TG 1438 -4.6 2.7 0
45178 FB 2136 4.2 3.6 0
45201 FB 3612 -7.5 4.9 227
46027 FB 4314 -5.0 3.4 0
46267 FB 1215 -5.1 3.9 38
46276 FB 1249 -4.6 4.0 1
46279 FB 1242 -4.6 3.9 1
46282 FB 1267 -4.4 4.0 4
SEPTEMBER 2024
WIND DIRECTION FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
2CYD8 UNKNOWN SHP 32 40.0 40.9 4
32ST0 UNKNOWN SHP 538 37.8 32.7 81
3ETR7 MSC FANTASIA SHP 32 31.8 39.4 11
3FFA5 MSC DIVINA SHP 60 -40.3 47.2 11
5EXMSZP UNKNOWN SHP 36 5.0 39.9 13
5LCQ3 OCEANUS AURORA SHP 52 -159.8 7.6 2
5LCZ4 YM TOGETHER SHP 32 -30.8 32.2 3
6QXET4K UNKNOWN SHP 26 103.2 15.1 1
7JLP UNKNOWN SHP 25 -141.8 13.5 3
7KHW UNKNOWN SHP 23 174.2 5.3 2
7KHY UNKNOWN SHP 48 30.0 32.6 5
7KPW UNKNOWN SHP 23 -6.9 20.9 20
7KQN UNKNOWN SHP 12 -96.1 46.6 9
8PRGBJL UNKNOWN SHP 28 32.1 39.3 5
8SXZZAL UNKNOWN SHP 31 141.1 13.5 3
9FV386K UNKNOWN SHP 74 -33.4 30.5 4
9HA3062 MEIN SCHIFF 3 SHP 62 -112.8 10.3 5
9HA4198 UNKNOWN SHP 41 142.6 27.6 4
9HA4883 MEIN SCHIFF 2 SHP 23 47.2 40.5 3
9HA5682 MSC WORLD EUROPA SHP 42 -38.1 44.2 7
9HA5823 EXPLORA 1 SHP 24 65.7 50.9 9
9HA5844 CMA CGM YUKON SHP 45 -120.5 2.4 2
9HA5860 UNKNOWN SHP 26 -46.3 33.6 5
9V2314 SPREAD EAGLE SHP 29 -167.8 24.8 4
9V2728 SUNSTAR SHP 18 -12.3 23.5 6
9V3964 PSU SEVENTH SHP 76 82.5 1.7 0
9V5246 MAERSK SHEERNESS SHP 29 -90.3 4.0 0
9V8197 UNKNOWN SHP 17 32.6 42.7 4
9V8705 UNKNOWN SHP 37 142.6 17.8 3
9V9288 EVER LAWFUL SHP 40 -4.9 39.5 14
9V9402 APL BARCELONA SHP 30 -6.2 47.5 13
9V9450 CAPE AZALEA SHP 364 -178.6 50.7 339
A8AK7 UNKNOWN SHP 13 12.1 37.1 9
A8SI7 ZIM SAN DIEGO SHP 56 90.3 3.1 0
AHYF3PB UNKNOWN SHP 44 -174.3 13.6 2
AMOHK02 UNKNOWN SHP 42 116.6 43.2 112
ATAH2 APJ SETHU SHP 19 -123.2 33.0 5
ATR9M5U UNKNOWN SHP 41 -48.2 41.9 6
ATVK MATSYA VARSHINI (AWS) SHP 39 145.7 30.6 10
AWSHK01 ZIM CHARLESTON SHP 58 150.5 47.6 37
AWWB NANDA DEVI SHP 59 5.8 52.4 26
BKIY EVER LUCID SHP 96 -178.8 13.4 2
C6BU3 UNKNOWN SHP 38 -36.2 40.7 7
C6CL6 H A SKLENAR SHP 27 148.1 35.6 2
C6SE5 VOYAGER OF THE SEAS SHP 16 150.2 29.1 4
C6VG7 NORWEGIAN PEARL SHP 162 4.4 53.9 59
C6WK7 NORWEGIAN JADE SHP 57 -31.4 32.1 4
C6YM7 SONANGOL BENGUELA SHP 57 -44.8 43.1 8
CCM93RR UNKNOWN SHP 38 -35.7 31.2 3
CFN5191 ALGONOVA (AWS) SHP 679 -32.3 34.1 36
D5264 MAERSK LABREA SHP 83 -160.5 18.7 3
D5NC3 DONINGTON SHP 32 136.4 30.0 5
D5ZH9 EVER FAST SHP 43 -10.7 47.8 18
DB5108 SEEFALKE SHP 73 -153.2 25.3 12
DBUXMBJ UNKNOWN SHP 27 -127.8 1.5 2
DKK5B7W UNKNOWN SHP 27 54.6 45.7 7
DNF2KEX UNKNOWN SHP 15 64.7 49.1 5
DWEFBFY UNKNOWN SHP 26 104.8 3.9 2
EKYKSJY UNKNOWN SHP 26 90.1 2.0 0
GKHEABF UNKNOWN SHP 29 -0.2 45.2 10
HAY34MT UNKNOWN SHP 19 15.1 46.4 7
HC2083 CELEBRITY XPEDITION SHP 18 144.4 29.5 4
JZHZSQT UNKNOWN SHP 33 31.9 33.1 4
KCOJ CALIFORNIA VOYAGER SHP 24 33.4 36.5 7
LAHR7 STAR KIRKENES SHP 106 31.5 38.3 27
LAVN4 STAR HIDRA SHP 59 35.9 18.2 0
LED82EE UNKNOWN SHP 65 -36.2 32.4 8
MERFR00 UNKNOWN SHP 23 95.6 14.0 1
MERFR22 UNKNOWN SHP 21 -117.0 2.3 2
MJPVYDL UNKNOWN SHP 24 125.5 2.2 2
MLBD9 EVER SMART SHP 120 -1.7 37.7 44
N260 UNKNOWN SHP 142 -39.8 37.0 12
NWS0003 USCGC HEALY (AWS) SHP 145 11.4 42.8 70
ONGR MINERAL STONEHENGE SHP 28 33.1 27.8 3
ONKF UNKNOWN SHP 24 -149.7 22.6 4
ONLA UNKNOWN SHP 19 -103.8 44.7 18
OXKO2 OLIVIA MAERSK SHP 72 30.3 30.7 7
RCLKYXB UNKNOWN SHP 82 42.9 43.6 20
RVJZZZD UNKNOWN SHP 34 47.8 33.7 3
TZK8KDX UNKNOWN SHP 23 -175.5 26.9 3
UCOR UNKNOWN SHP 34 -19.9 47.0 12
UHXO UNKNOWN SHP 38 -97.5 12.6 1
V7A5868 FRITZI N SHP 34 137.3 4.6 2
V7A6496 SINGAPORE VOYAGER SHP 43 31.6 37.9 11
V7HH2 STI GALLANTRY SHP 21 31.4 31.1 5
V7TM6 UNKNOWN SHP 56 163.1 7.2 2
V7TO3 UNKNOWN SHP 18 -60.0 18.7 4
VABY ALGOBERTA (AWS) SHP 555 -40.9 39.1 57
VDBA ALGOMA BUFFALO (AWS) SHP 654 -32.2 37.7 61
VRBH6 SEASPAN HAMBURG SHP 42 -169.4 10.9 2
VRBX7 UNKNOWN SHP 24 44.7 30.8 4
VRCI8 SAGA EXPLORER SHP 41 93.6 10.9 1
VRDN3 UNKNOWN SHP 25 -122.5 6.1 2
VRDU8 UNKNOWN SHP 44 -133.7 6.3 3
VRDU9 SAGA ODYSSEY SHP 32 -155.8 8.4 2
VREM6 UNKNOWN SHP 65 -31.6 34.9 6
VREX4 UNKNOWN SHP 15 -6.9 37.2 5
VRIB3 UNKNOWN SHP 47 41.6 36.8 5
VRID5 COSCO VIETNAM SHP 17 -35.2 37.1 4
VRLA5 UNKNOWN SHP 45 135.1 34.9 4
VRLL2 SAGA FJORD SHP 22 89.4 2.6 0
VRLQ3 UNKNOWN SHP 88 -142.0 14.7 2
VRNR5 UNKNOWN SHP 34 -36.6 37.8 6
VROB9 SEASPAN BEACON SHP 22 -133.9 17.6 3
VROO4 UNKNOWN SHP 43 -97.2 10.9 1
VROO6 YM WORTH SHP 18 170.8 4.8 2
VROV7 MOUNT ASO SHP 18 35.1 34.7 2
VRQZ7 ORIENTAL KING SHP 36 -14.6 48.1 23
VRRM5 SAGA FLORA SHP 27 -158.9 20.9 2
VRTF2 UNKNOWN SHP 35 -50.6 50.2 11
VRUR7 SAGA WIND SHP 23 57.3 26.5 9
VRVC3 ZIM MOUNT ELBRUS SHP 58 -5.8 47.1 21
VRVC6 UNKNOWN SHP 20 -53.3 35.0 4
VRVI8 ZIM PEARL SHP 16 -54.1 36.4 5
VRWC8 UNKNOWN SHP 29 39.5 35.5 2
VRYO9 SAGA JANDAIA SHP 15 29.9 22.3 5
VRZK8 UNKNOWN SHP 47 -23.3 47.5 28
VTHL CONCORD SHP 40 1.0 50.5 28
VTUQ SSL THAMIRABARANI SHP 24 -132.1 42.6 5
VTVW APJ INDRANI SHP 38 -50.6 37.7 6
VWTI KALIGHAT (AWS) SHP 3 163.0 24.2 44
WDC6055 STEWART J. CORT SHP 22 -5.5 29.6 9
WDC8307 SAMUEL DE CHAMPLAIN SHP 28 143.5 20.2 5
WDE3568 CALUMET SHP 19 -17.7 44.6 10
WDE7804 KESTREL SHP 460 -81.1 51.4 306
WDE7899 SESOK SHP 40 157.2 20.8 3
WDH7560 PRESQUE ISLE SHP 41 4.5 48.3 16
WDI6469 BERING TITAN SHP 617 4.1 46.5 226
WDJ4194 CLYDE S. VANENKEVORT SHP 48 51.5 38.7 6
WDJ9447 ISLAND EXPLORER SHP 35 36.6 46.3 5
WDK5676 HUBBARD SHP 1045 -10.8 49.7 358
WDK8035 STEADFAST SHP 367 -47.9 44.4 102
WFLH GEORGE II SHP 55 131.3 11.9 2
WLZ9WHS UNKNOWN SHP 18 -35.8 32.4 3
WTEA NOAA THOMAS JEFFERSON (AW SHP 682 73.9 41.9 162
WTEB NOAA FAIRWEATHER (AWS) SHP 288 -3.9 51.9 100
WTEF NOAA RAINIER (AWS) SHP 82 -36.2 32.1 4
WXY6216 JOSEPH L. BLOCK SHP 536 -3.5 37.7 182
WYM9567 AURORA SHP 1279 -8.4 50.2 443
WZ3423 TIGLAX SHP 460 3.8 40.7 162
WZD2465 H. LEE WHITE SHP 118 -33.7 34.1 11
WZE4270 LECONTE SHP 979 -11.0 51.7 388
XCGBCPP UNKNOWN SHP 19 3.5 38.7 11
XJBK ALGOMA HARVESTER (AWS) SHP 415 -12.9 47.8 228
YDDP2 UNKNOWN SHP 20 37.4 33.9 5
YEADUPA UNKNOWN SHP 15 14.8 36.0 8
ZSNO UNKNOWN SHP 25 -96.7 7.4 1
ACXS1 UNKNOWN CMN 2082 -29.2 29.7 777
ANMN6 UNKNOWN CMN 1413 161.9 47.4 1435
BIGM4 UNKNOWN CMN 3163 3.5 43.6 1145
CDXA2 UNKNOWN CMN 3784 -30.3 39.0 434
CPXC1 UNKNOWN CMN 4026 91.7 55.3 3736
CSPA2 UNKNOWN CMN 588 46.4 43.3 98
DESW1 UNKNOWN CMN 513 -68.6 50.5 206
ELXC1 UNKNOWN CMN 1950 22.2 49.4 929
FHPF1 UNKNOWN CMN 5799 -55.1 46.5 1168
GRMM4 UNKNOWN CMN 506 50.2 38.2 82
GTRM4 UNKNOWN CMN 2802 9.3 47.1 1231
GUXA2 UNKNOWN CMN 2752 -31.6 45.1 1479
HAXA2 UNKNOWN CMN 2838 -21.4 46.3 1385
ILOH1 UNKNOWN CMN 3743 103.1 53.1 3274
JCRN4 UNKNOWN CMN 2300 -52.6 28.6 579
KEXA2 UNKNOWN CMN 2886 -3.9 42.7 1334
KGCA2 UNKNOWN CMN 5980 51.7 43.5 1097
LJPC1 UNKNOWN CMN 529 50.4 41.9 82
MCYI3 UNKNOWN CMN 3662 65.0 36.3 635
MLSC1 UNKNOWN CMN 4659 20.5 48.7 2057
MRNA2 UNKNOWN CMN 3095 -22.4 45.7 1172
MRYA2 UNKNOWN CMN 3416 53.1 44.5 860
MXXA2 UNKNOWN CMN 3518 -61.4 38.4 701
NAXR1 UNKNOWN CMN 2133 82.0 34.1 735
NPDW3 UNKNOWN CMN 1221 -39.3 35.0 190
OWXO1 UNKNOWN CMN 2067 -17.3 43.1 805
PBFW1 UNKNOWN CMN 1715 10.1 50.0 1145
PBPA2 UNKNOWN CMN 327 -160.7 36.4 356
PCNT2 UNKNOWN CMN 6225 -31.8 31.4 851
PGXA2 UNKNOWN CMN 3010 -76.8 47.3 1184
PILA2 UNKNOWN CMN 922 -6.8 43.9 517
PNGW3 UNKNOWN CMN 3219 -14.3 45.8 1095
PTLA2 UNKNOWN CMN 3259 -66.3 46.5 1002
SCXA2 UNKNOWN CMN 3657 -52.5 37.3 557
SFXC1 UNKNOWN CMN 2677 39.1 32.0 199
SHXA2 UNKNOWN CMN 2937 2.4 51.1 1248
SISW1 UNKNOWN CMN 2212 97.4 50.4 2103
SJOM4 UNKNOWN CMN 2950 -7.8 42.1 1304
SKXA2 UNKNOWN CMN 2850 -17.0 38.5 1356
SLVM5 UNKNOWN CMN 2699 -9.8 53.1 1858
SLXA2 UNKNOWN CMN 2856 -12.3 44.6 1340
STXA2 UNKNOWN CMN 2621 -77.3 50.5 1521
TCMW1 UNKNOWN CMN 4276 84.0 52.0 2794
TIBC1 UNKNOWN CMN 1741 81.0 48.4 1135
TKEA2 UNKNOWN CMN 2567 -18.6 51.1 1675
WKXA1 UNKNOWN CMN 2047 -8.2 41.3 819
WPOW1 UNKNOWN CMN 449 4.2 54.1 270
YRSV2 UNKNOWN CMN 1874 -18.8 39.7 984
ANPT2 UNKNOWN TG 1299 -42.6 25.0 139
ANTA2 UNKNOWN TG 917 -88.3 52.5 504
ANVC1 UNKNOWN TG 976 -14.9 43.0 462
ATKA2 UNKNOWN TG 1203 43.4 43.3 236
BMTW1 UNKNOWN TG 571 112.9 52.4 867
BUFN6 UNKNOWN TG 1285 -40.8 38.2 154
CECC1 UNKNOWN TG 838 -97.0 49.0 600
CHAO3 UNKNOWN TG 1011 -15.0 48.0 428
CPMW1 UNKNOWN TG 1266 36.3 39.3 172
CPNW1 UNKNOWN TG 1245 36.8 41.0 166
CRVA2 UNKNOWN TG 879 -31.3 49.7 553
DULM5 UNKNOWN TG 979 -29.1 43.7 458
FRWL1 UNKNOWN TG 1288 -42.0 37.1 151
FTPC1 UNKNOWN TG 1362 -37.2 31.8 76
GBWW3 UNKNOWN TG 924 -6.4 42.8 514
GNJT2 UNKNOWN TG 520 -134.5 0.0 2
GRRT2 UNKNOWN TG 1327 -30.8 33.6 110
ILOH1 UNKNOWN TG 788 103.0 53.4 640
KECA2 UNKNOWN TG 925 -12.3 43.6 514
KWHH1 UNKNOWN TG 898 5.8 47.7 530
LJAC1 UNKNOWN TG 1245 49.1 41.2 193
LNDC1 UNKNOWN TG 1074 18.8 42.2 365
MBET2 UNKNOWN TG 1336 37.0 31.5 101
MGZP4 UNKNOWN TG 1027 -64.9 47.9 408
MZXC1 UNKNOWN TG 1378 36.7 31.4 61
NKTA2 UNKNOWN TG 1023 -138.9 48.1 416
NTBC1 UNKNOWN TG 913 -26.2 49.7 526
PCNT2 UNKNOWN TG 1219 -32.5 30.8 154
PILL1 UNKNOWN TG 1221 36.3 30.2 78
PLXA2 UNKNOWN TG 860 0.3 50.8 579
PORO3 UNKNOWN TG 767 -93.8 49.7 672
PRHH1 UNKNOWN TG 1169 -44.2 30.3 260
PSBC1 UNKNOWN TG 1321 55.1 26.2 117
PSLC1 UNKNOWN TG 863 91.1 48.5 575
PTAW1 UNKNOWN TG 383 7.3 52.7 337
PTWW1 UNKNOWN TG 901 -11.1 56.7 530
RTYC1 UNKNOWN TG 797 92.8 45.4 642
SHBL1 UNKNOWN TG 540 -31.1 30.9 45
TCMW1 UNKNOWN TG 844 85.1 51.6 585
TOKW1 UNKNOWN TG 1245 -32.2 40.0 194
VDZA2 UNKNOWN TG 727 -19.4 53.5 708
45165 FB 2789 -36.6 44.5 1266
45174 FB 3447 -51.8 33.7 384
45178 FB 1561 0.4 49.1 575
45198 FB 3440 -48.6 39.1 788
45199 FB 751 -33.7 32.9 110
45203 FB 3630 -49.8 45.9 621
45206 FB 3945 33.1 38.2 337
45207 FB 3309 36.2 36.8 264
45209 FB 2195 51.3 38.0 314
46022 FB 2605 15.0 43.7 1705
46027 FB 2079 167.0 50.1 2237
46050 FB 2984 -5.6 40.9 1330
46081 FB 509 -66.5 46.4 210
46087 FB 3041 0.0 53.0 1277
46088 FB 2897 82.5 51.8 1419
46092 FB 460 7.5 51.2 194
46121 FB 2942 12.3 51.8 1083
46123 FB 537 83.7 49.2 297
46125 FB 1941 172.5 49.6 1829
46145 FB 617 35.4 33.1 94
46146 FB 383 98.1 52.5 334
46304 FB 447 78.4 48.2 213
62113 FB 60 -165.6 50.2 57
62133 FB 715 -100.6 8.1 4
13009 DB 263 -62.9 37.7 37
23454 DB 102 95.5 24.6 77
52321 DB 55 97.7 5.4 1
SEPTEMBER 2024
WIND SPEED FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
AMOHK02 UNKNOWN SHP 0 0.0 0.0 154
AWSHK01 ZIM CHARLESTON SHP 0 0.0 0.0 95
C6EF4 NORWEGIAN ENCORE SHP 257 5.3 4.2 4
LAPD7 STAR LAGUNA SHP 46 5.8 3.1 2
VRUR7 SAGA WIND SHP 32 5.2 2.9 0
VTUQ SSL THAMIRABARANI SHP 17 10.9 2.7 12
ERXA2 UNKNOWN CMN 4236 5.4 3.4 2
23454 DB 179 -6.4 1.4 0
SEPTEMBER 2024
SEA SURFACE TEMP. FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
32ST0 UNKNOWN SHP 619 -12.4 0.6 0
3ETR7 MSC FANTASIA SHP 43 -1.4 7.1 0
3FLO4 MSC MAGNIFICA SHP 34 -4.7 1.8 0
9HA4902 MSC BELLISSIMA SHP 113 -5.8 2.9 0
HOPW MSC LIRICA SHP 69 -6.2 2.5 0
ONLA UNKNOWN SHP 35 -8.6 2.1 1
SBPQ UNKNOWN SHP 92 4.6 4.2 0
V7HH2 STI GALLANTRY SHP 26 4.2 2.1 0
VROV7 MOUNT ASO SHP 8 -10.9 1.9 12
VRQZ7 ORIENTAL KING SHP 35 4.2 4.7 0
VRTA6 BLOCK ISLAND SHP 40 -4.9 5.2 6
WSQ2674 ROBERT GORDON SPROUL (AWS SHP 678 -2.3 6.0 17
WZ3423 TIGLAX SHP 141 11.2 1.7 23
MLSC1 UNKNOWN CMN 4275 -4.5 5.8 665
RLOT2 UNKNOWN CMN 6534 5.8 2.7 0
ALXN6 UNKNOWN TG 1437 4.3 5.2 0
BKTL1 UNKNOWN TG 1414 6.4 5.0 24
DULM5 UNKNOWN TG 1426 1.6 6.2 12
HIST2 UNKNOWN TG 1437 5.2 2.9 0
LJAC1 UNKNOWN TG 1267 -2.1 6.3 171
LOPW1 UNKNOWN TG 1427 4.2 6.4 12
MEYC1 UNKNOWN TG 1424 -4.0 5.5 15
OBGN6 UNKNOWN TG 1436 4.5 5.2 2
PORO3 UNKNOWN TG 1439 -4.7 3.3 0
PSLC1 UNKNOWN TG 1438 -4.4 4.6 0
RLOT2 UNKNOWN TG 1358 5.7 2.6 0
SDBC1 UNKNOWN TG 1398 -1.0 6.3 40
SKTA2 UNKNOWN TG 1432 5.1 2.4 0
SWLA2 UNKNOWN TG 1402 9.0 2.1 36
TCBM2 UNKNOWN TG 503 5.9 6.0 0
TKPN6 UNKNOWN TG 1426 5.8 5.3 12
TRDF1 UNKNOWN TG 1438 4.6 2.5 0
VDZA2 UNKNOWN TG 1435 5.9 2.4 0
YATA2 UNKNOWN TG 1360 5.3 1.1 0
45014 FB 186 4.2 4.6 0
45178 FB 2133 4.5 4.7 8
45200 FB 3831 2.5 6.1 0
45209 FB 2522 3.1 6.0 0
46181 FB 718 5.7 3.9 0
46224 FB 1329 -1.9 6.5 51
46240 FB 1380 -4.0 5.3 10
46253 FB 1368 -4.4 2.7 0
46254 FB 1319 -2.1 6.7 68
46256 FB 1382 -6.0 3.1 3
46266 FB 1196 -1.0 6.5 172
46273 FB 1313 -2.1 6.7 57
46274 FB 1171 -1.1 6.8 210
46275 FB 1198 -2.4 6.5 122
46276 FB 1160 -3.2 6.1 146
46279 FB 1143 -3.2 6.1 137
46282 FB 1170 -2.9 6.4 166
TOTAL NUMBER OF OBSERVATIONS FOR SEPTEMBER 2024 (EXCLUDING DUPLICATES
AND THOSE FROM CALLSIGN 'SHIP') WAS 2132182. TOTAL NUMBER OF
OBSERVATIONS FROM CALLSIGN 'SHIP' (EXCLUDING DUPLICATES) WAS 44.
TOTAL NUMBER OF IDS WAS 2603.
