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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
JULY 2024
SEA-LEVEL PRESSURE FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
32ST0 UNKNOWN SHP 642 5.4 2.5 0
3EBY2 UNKNOWN SHP 7 12.3 2.7 19
3EFK6 MSC MUSICA SHP 30 1.4 8.7 0
3ETV9 UNKNOWN SHP 21 7.7 1.4 1
3FLT5 UNKNOWN SHP 29 5.0 2.6 0
3FOA6 MSC PREZIOSA SHP 42 6.1 1.8 0
3FQT3 UNKNOWN SHP 26 4.4 1.1 0
3FZI8 MSC SPLENDIDA SHP 35 5.6 1.3 0
5LBV3 UNKNOWN SHP 42 5.5 1.9 1
5LCS5 EVER FOND SHP 26 -5.2 0.6 0
5LCZ4 YM TOGETHER SHP 46 -6.1 1.2 0
5LGV4 YM TRILLION SHP 31 9.7 0.8 0
7JQV UNKNOWN SHP 71 4.5 1.2 0
7KKG CATTLEYA ACE SHP 38 4.1 1.0 0
9303522 UNKNOWN SHP 74 -4.3 1.9 0
9HA3062 MEIN SCHIFF 3 SHP 76 -4.6 0.9 1
9HA3793 CMA CGM LITANI SHP 4 11.7 2.3 57
9HA3858 MEIN SCHIFF 5 SHP 40 -4.9 3.2 0
9HA4638 MSC SEASIDE SHP 20 8.5 3.9 8
9HA4777 MSC SEAVIEW SHP 328 6.7 2.7 5
9HA4974 CMA CGM GEMINI SHP 169 7.7 1.4 0
9HA5073 CMA CGM CHILE SHP 28 9.2 1.6 2
9HA5209 MSC VIRTUOSA SHP 281 11.7 2.5 51
9HA5465 CMA CGM ZEPHYR SHP 30 -5.8 1.5 0
9HA5677 MSC SEASCAPE SHP 300 9.4 2.2 287
9HA5682 MSC WORLD EUROPA SHP 73 -5.2 3.6 0
9HA5823 EXPLORA 1 SHP 49 12.4 1.5 5
9HA5844 CMA CGM YUKON SHP 85 5.8 1.4 1
9HJD9 CELEBRITY INFINITY SHP 234 4.2 1.7 0
9V2783 RTM DHAMBUL SHP 57 4.6 4.4 0
9V3913 KN ARCADIA SHP 675 6.1 2.6 4
9V5246 MAERSK SHEERNESS SHP 34 5.2 1.7 0
9V6627 ELECTRA SHP 52 5.5 1.9 0
9V7629 EVER MAST SHP 65 5.4 2.2 0
9V9375 APL LE HAVRE SHP 144 5.6 1.5 0
9V9402 APL BARCELONA SHP 28 13.0 1.0 82
9V9404 APL DUBLIN SHP 55 9.9 3.2 21
9V9450 CAPE AZALEA SHP 747 5.2 1.8 0
A9LV SEAPEAK BAHRAIN SHP 20 12.6 1.1 2
AVBC DESH GARIMA SHP 6 5.8 3.0 26
AWWB NANDA DEVI SHP 58 -1.1 1.7 22
BHJG EVER ARM SHP 60 6.8 1.3 0
BHJH EVER ART SHP 39 7.3 1.6 0
BKIY EVER LUCID SHP 41 5.2 1.5 0
C6AP3 PEGASUS VOYAGER SHP 43 5.4 1.3 0
C6FT7 NORWEGIAN DAWN SHP 38 4.5 1.7 0
C6TX6 NORWEGIAN JEWEL SHP 216 9.2 2.0 15
C6YM7 SONANGOL BENGUELA SHP 20 12.3 1.4 14
D5HE8 CAUTIN SHP 21 -4.6 1.7 0
D5HF2 CAUQUENES SHP 21 -4.3 0.8 0
D5ZH9 EVER FAST SHP 36 4.7 3.6 0
DPMN UNKNOWN SHP 21 -4.2 0.5 0
ELYB6 BERTOLLE SHP 24 9.1 0.9 0
H3BV EVER BREED SHP 537 -4.4 1.8 0
H8XH MSC SINFONIA SHP 22 5.5 2.7 0
LAHR7 STAR KIRKENES SHP 267 6.3 1.1 0
LAQL7 STAR LOFOTEN SHP 46 4.8 1.5 0
LAVN4 STAR HIDRA SHP 22 4.5 1.9 0
OUMX2 INDONESIAN BULKER SHP 23 5.9 1.0 0
OXBB2 UNKNOWN SHP 35 4.0 1.1 1
OXSQ2 MAERSK ESSEX SHP 34 8.8 2.0 1
RRYTS7Z UNKNOWN SHP 21 4.2 1.0 0
RVJZZZD UNKNOWN SHP 47 4.2 1.4 0
S6CH6 MAERSK SEMAKAU SHP 56 5.0 1.6 0
TNVXRHV UNKNOWN SHP 96 -6.0 0.9 0
UBBO5 UNKNOWN SHP 9 -11.5 2.9 19
UCSJ UNKNOWN SHP 38 -7.6 7.1 5
V7A4788 MARLIN HESTIA SHP 115 9.7 1.7 2
V7A5139 UNKNOWN SHP 27 4.1 0.8 0
V7A5254 MARLIN LA PLATA SHP 114 10.3 1.1 0
V7A6070 STI MAESTRO SHP 720 4.4 1.8 0
V7A6085 STI MARSHALL SHP 60 8.6 1.7 0
V7A6496 SINGAPORE VOYAGER SHP 56 11.2 1.3 2
V7BL6 GARNET EXPRESS SHP 22 8.6 2.8 0
V7DI9 STI SLOANE SHP 32 4.1 4.1 0
V7DJ7 STI CONNAUGHT SHP 132 8.5 1.5 3
V7HH2 STI GALLANTRY SHP 29 -6.5 2.9 1
V7QK9 SEVEN SEAS EXPLORER SHP 336 4.7 1.6 0
V7UU5 SEAWAYS PECOS SHP 65 6.8 2.2 1
VABC ALGOMA INTREPID SHP 50 8.3 2.0 1
VRCI9 UNKNOWN SHP 25 6.0 1.7 0
VRDW2 UNKNOWN SHP 104 -4.7 1.2 0
VRFI7 UNKNOWN SHP 92 -4.0 0.8 1
VRGO6 UNKNOWN SHP 25 -6.3 1.4 0
VRGO8 UNKNOWN SHP 24 4.1 2.0 0
VRJZ9 MINERAL CHARLIE SHP 35 4.7 1.1 0
VRLJ4 UNKNOWN SHP 32 7.9 4.6 1
VRME7 UNKNOWN SHP 32 10.1 1.8 1
VRNL2 SEASPAN BRILLIANCE SHP 81 10.7 1.0 0
VRNL9 SEASPAN BRIGHTNESS SHP 39 5.1 1.7 0
VROO4 UNKNOWN SHP 41 10.0 1.7 2
VROX2 MAERSK TAIKUNG SHP 44 4.9 3.2 0
VRRH6 UNKNOWN SHP 22 4.8 0.6 0
VRRQ4 CMA CGM COCHIN SHP 230 7.1 1.4 1
VRTO4 PARIS EXPRESS SHP 25 9.3 0.7 0
VRTU5 NYSTED MAERSK SHP 89 -5.8 1.0 0
VRVG5 ONE FOCUS SHP 45 5.1 1.5 0
VRVO3 GERNER MAERSK SHP 59 9.6 1.9 0
VRVP3 GUSTAV MAERSK SHP 45 5.5 1.2 0
VRVR2 UNKNOWN SHP 31 -7.2 0.8 0
VRWN4 UNKNOWN SHP 29 -4.9 0.6 1
VRZK8 UNKNOWN SHP 80 4.5 1.6 0
VTHL CONCORD SHP 19 5.2 2.4 13
VTUQ SSL THAMIRABARANI SHP 0 0.0 0.0 53
WSFABLK UNKNOWN SHP 98 5.2 1.3 1
WSIJ STENA IMMACULATE SHP 32 -6.6 0.8 0
YUTPB4M UNKNOWN SHP 89 4.7 2.2 2
ZDSQ2 HTM DEFENDER SHP 20 10.2 0.6 0
DPHA1 UNKNOWN CMN 54 -14.5 0.4 1367
FRWL1 UNKNOWN TG 1484 4.4 0.6 0
45201 FB 1843 10.9 3.2 2503
JULY 2024
AIR TEMPERATURE FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
32ST0 UNKNOWN SHP 642 -10.1 0.8 0
6WYPCNK UNKNOWN SHP 39 4.0 2.1 0
9HA4876 COTINGA SHP 20 4.1 2.6 0
C6CN5 SEAPEAK VANCOUVER SHP 59 4.1 2.3 0
CFN6287 WHITEFISH BAY SHP 21 4.6 4.3 2
MVEP4 UNKNOWN SHP 22 -5.2 3.6 0
ONKJ LA SELVA SHP 29 4.0 1.4 0
VRBR8 SAGA DISCOVERY SHP 27 4.0 2.0 0
VRFX6 SEASPAN EMISSARY SHP 57 4.1 3.2 0
VRQZ7 ORIENTAL KING SHP 21 5.3 2.8 2
VRTD6 TEXEL ISLAND SHP 29 4.0 3.2 0
VRVO2 GERDA MAERSK SHP 26 4.9 3.5 0
VRVR2 UNKNOWN SHP 30 4.0 1.9 0
WTEG NOAA REUBEN LASKER (AWS) SHP 1226 6.8 2.4 4
WUR8857 LEE A. TREGURTHA SHP 208 -2.5 8.2 226
ZDRG3 CONQUEROR SHP 30 4.1 3.3 0
BLIA2 UNKNOWN CMN 1484 4.9 1.1 0
CPXC1 UNKNOWN CMN 8281 -6.2 2.5 0
ELXC1 UNKNOWN CMN 2967 -5.9 3.4 5
MLSC1 UNKNOWN CMN 6912 -6.4 3.9 13
CECC1 UNKNOWN TG 1378 -6.1 4.3 105
NTBC1 UNKNOWN TG 1483 -6.9 2.1 0
PSLC1 UNKNOWN TG 1483 -6.1 2.3 0
PTAW1 UNKNOWN TG 1475 -4.9 4.0 8
44029 FB 743 -4.2 2.9 0
44030 FB 744 -4.2 2.7 0
44034 FB 744 -5.0 1.8 0
44258 FB 728 -4.7 3.4 0
45201 FB 3180 -10.8 3.0 1166
46027 FB 4237 -6.6 3.7 221
46088 FB 4422 -6.0 3.2 33
46092 FB 737 -4.4 3.3 0
46267 FB 984 -7.4 4.1 96
46276 FB 1432 -6.2 4.0 4
46279 FB 1455 -6.2 4.0 3
JULY 2024
WIND DIRECTION FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
32ST0 UNKNOWN SHP 617 38.1 30.1 25
3AQQXHY UNKNOWN SHP 26 35.8 33.1 3
3EBY2 UNKNOWN SHP 23 122.8 34.1 3
3EFK6 MSC MUSICA SHP 28 -155.1 31.6 2
3EXY2 UNKNOWN SHP 28 -115.8 33.8 3
3FOA6 MSC PREZIOSA SHP 39 133.5 33.8 3
3FTL4 ZANDOLIE SHP 101 -33.4 33.0 4
3FZI8 MSC SPLENDIDA SHP 19 -168.1 56.3 16
5EXMSZP UNKNOWN SHP 22 115.4 16.7 2
5KS8XHV UNKNOWN SHP 72 31.6 29.0 5
5LCZ4 YM TOGETHER SHP 37 49.7 37.8 9
5LGV4 YM TRILLION SHP 29 36.1 31.1 2
5LHX2 SEOUL EXPRESS SHP 32 -0.9 45.4 11
5LNE4 UNKNOWN SHP 43 164.9 22.5 3
7AL72XF UNKNOWN SHP 43 -136.6 0.4 2
7KDA UNKNOWN SHP 36 88.2 4.8 0
7KDL UNKNOWN SHP 82 -144.2 6.2 2
7KJY UNKNOWN SHP 39 104.2 30.3 8
7KPK UNKNOWN SHP 24 93.3 7.4 1
8PRGBJL UNKNOWN SHP 40 -104.1 8.4 1
9HA4330 MEIN SCHIFF 6 SHP 19 34.5 26.8 2
9HA4638 MSC SEASIDE SHP 20 -13.1 46.4 8
9HA4777 MSC SEAVIEW SHP 248 1.5 50.1 85
9HA5844 CMA CGM YUKON SHP 85 -100.5 1.5 1
9HJB9 CELEBRITY CONSTELLATION SHP 12 -32.4 30.3 11
9RM2K8C UNKNOWN SHP 73 121.5 9.7 2
9V5247 MAERSK SOPHIA SHP 28 97.6 4.7 1
9V5250 UNKNOWN SHP 27 99.1 7.0 1
9V7498 MAERSK BUTON SHP 62 171.3 10.2 2
9V7625 EVER MAX SHP 35 35.0 31.0 2
9V9003 WESTWOOD RAINIER SHP 29 85.8 4.2 0
9V9288 EVER LAWFUL SHP 37 3.4 44.8 15
9V9450 CAPE AZALEA SHP 517 22.2 46.8 230
9V9758 YM TRAVEL SHP 41 -31.4 29.2 4
A8SI6 ZIM ANTWERP SHP 28 88.7 4.1 0
AMOHK02 UNKNOWN SHP 32 -144.4 34.9 124
ATVK MATSYA VARSHINI (AWS) SHP 324 10.2 49.5 188
AVBC DESH GARIMA SHP 30 -86.8 6.3 0
AVBD DESH SURAKSHA SHP 20 -41.5 23.4 5
BHJH EVER ART SHP 32 54.9 41.9 8
BKIY EVER LUCID SHP 38 105.6 8.5 3
C6CA7 UNKNOWN SHP 51 -109.8 12.5 1
C6ED5 CARIBBEAN VOYAGER SHP 19 -58.6 48.9 5
C6EO4 CARINA VOYAGER SHP 24 -144.8 13.5 2
C6FT7 NORWEGIAN DAWN SHP 24 -87.6 50.6 14
C6TX6 NORWEGIAN JEWEL SHP 164 5.4 51.5 58
C6VG7 NORWEGIAN PEARL SHP 41 -1.0 46.4 21
CFN6287 WHITEFISH BAY SHP 30 -110.8 32.3 3
CFN6288 THUNDER BAY SHP 24 -53.8 38.0 6
D5KF6 UNKNOWN SHP 41 92.4 5.6 0
DUUBLZG UNKNOWN SHP 65 -89.1 5.1 0
ELYB6 BERTOLLE SHP 18 8.2 40.9 6
EVH28KM UNKNOWN SHP 30 -113.6 16.8 3
FDWKMSB UNKNOWN SHP 40 -34.1 24.2 4
H3JW UNKNOWN SHP 44 -108.5 2.8 2
H8XH MSC SINFONIA SHP 18 -125.9 46.3 4
H9DU EVER FOCUS SHP 20 -46.3 25.0 2
HAY34MT UNKNOWN SHP 13 -6.3 48.7 7
HOA4772 UNKNOWN SHP 21 -91.3 1.4 0
KABP MAERSK OHIO SHP 41 105.6 17.0 1
KAO107 R/V KIYI SHP 37 -2.5 49.5 18
KBAG BADGER SHP 94 -42.0 36.8 15
KCOJ CALIFORNIA VOYAGER SHP 18 -53.7 39.6 5
KSKM MAERSK DURBAN SHP 21 -87.8 2.9 0
KUL7SEK UNKNOWN SHP 30 131.6 35.1 5
LAJS6 STAR JAVA SHP 104 133.7 1.7 4
LAQM7 STAR LIVORNO SHP 39 -112.2 4.2 2
LAQO7 STAR LUSTER SHP 79 132.0 10.5 3
LAVN4 STAR HIDRA SHP 21 50.6 17.9 1
LJBL58D UNKNOWN SHP 36 98.9 18.8 1
LLW9X6U UNKNOWN SHP 51 -46.6 44.9 9
MERFR09 UNKNOWN SHP 87 1.5 44.9 32
MJPVYDL UNKNOWN SHP 40 -166.8 8.8 2
MVEP4 UNKNOWN SHP 7 33.7 40.3 15
MYUCXDW UNKNOWN SHP 52 47.6 45.7 11
NWRF36L UNKNOWN SHP 17 146.9 37.3 3
ONGR MINERAL STONEHENGE SHP 28 94.3 5.7 1
OYGM2 GERD MAERSK SHP 27 146.4 18.0 3
QJLVJFW UNKNOWN SHP 19 30.4 24.4 1
QWVX8BB UNKNOWN SHP 19 -107.9 19.8 1
RCLKYXB UNKNOWN SHP 83 -2.2 48.1 30
RYPU8UL UNKNOWN SHP 129 33.1 36.2 9
SAJJBQR UNKNOWN SHP 24 -102.2 8.9 1
SBPT UNKNOWN SHP 22 1.2 43.7 8
SDIA UNKNOWN SHP 23 -162.0 18.7 2
SFMRARM UNKNOWN SHP 75 6.5 44.1 26
TXWN4PV UNKNOWN SHP 34 -144.6 3.7 2
UBBO5 UNKNOWN SHP 17 -78.4 50.6 11
UBRI5 UNKNOWN SHP 30 7.3 45.2 12
UBSH8 UNKNOWN SHP 18 -10.5 35.0 8
UUCRDEK UNKNOWN SHP 46 1.1 47.5 17
V7A4787 MARLIN HERA SHP 241 -4.5 43.8 103
V7A5716 UNKNOWN SHP 26 132.3 0.6 3
V7DI9 STI SLOANE SHP 30 -134.2 18.0 2
VABY ALGOBERTA (AWS) SHP 267 -45.3 43.9 57
VDCY NACC ARGONAUT (AWS) SHP 54 -68.2 48.0 15
VRBX7 UNKNOWN SHP 48 37.0 34.3 8
VRDU8 UNKNOWN SHP 28 111.5 2.0 4
VRDY4 PORT PHILLIP SHP 32 96.7 12.3 1
VRFX6 SEASPAN EMISSARY SHP 49 37.4 40.4 4
VRGE7 SEASPAN EMPIRE SHP 50 -46.1 40.1 7
VRGO6 UNKNOWN SHP 22 -36.5 42.1 3
VRIB3 UNKNOWN SHP 48 32.3 30.1 4
VRID6 COSCO PRINCE RUPERT SHP 31 168.5 40.7 14
VRQZ7 ORIENTAL KING SHP 38 44.0 27.4 17
VRSJ8 UNKNOWN SHP 43 88.9 0.6 0
VRTF2 UNKNOWN SHP 70 6.4 47.5 33
VRUN7 ZIM CANADA SHP 31 -122.5 14.2 2
VRVP2 SAGA TUCANO SHP 3 136.8 20.4 21
VRWE8 UNKNOWN SHP 29 31.4 27.2 2
VRZK8 UNKNOWN SHP 51 -1.5 38.4 29
VTHL CONCORD SHP 26 -31.2 41.0 6
VTSJ UNKNOWN SHP 50 -143.1 43.7 24
VWTI KALIGHAT (AWS) SHP 34 169.6 28.1 372
WCY2920 KENNICOTT SHP 1204 6.2 47.5 489
WDB9821 JOYCE L. VANENKEVORT SHP 35 -142.3 30.9 8
WDC6027 BURNS HARBOR SHP 25 1.6 34.2 9
WDD2875 AMERICAN INTEGRITY SHP 32 -42.3 41.0 2
WDE7804 KESTREL SHP 630 -3.0 53.1 290
WDH7558 EDWIN H. GOTT SHP 30 40.1 42.2 4
WDK8035 STEADFAST SHP 611 -9.7 49.3 288
WL3972 HERBERT C. JACKSON SHP 421 -44.7 41.3 61
WLZ9WHS UNKNOWN SHP 30 39.7 38.8 7
WMCU MAERSK COLUMBUS SHP 50 32.4 36.5 4
WTEA NOAA THOMAS JEFFERSON (AW SHP 760 -37.5 36.2 84
WYM9567 AURORA SHP 1310 -73.6 53.2 543
WZD2465 H. LEE WHITE SHP 55 -43.9 36.0 11
WZE4270 LECONTE SHP 928 -6.9 50.4 443
YDDP2 UNKNOWN SHP 21 62.9 42.9 5
ZCDY2 UNKNOWN SHP 26 45.0 45.7 4
ZCEI3 UNKNOWN SHP 63 -40.2 45.4 13
ZDRG3 CONQUEROR SHP 21 9.6 41.7 9
ZQBVSBE UNKNOWN SHP 90 3.6 37.8 30
ACXS1 UNKNOWN CMN 1625 -7.1 40.5 1335
ANMN6 UNKNOWN CMN 1436 178.6 46.2 1509
BIGM4 UNKNOWN CMN 2898 0.1 43.2 1548
BLIA2 UNKNOWN CMN 979 7.5 52.1 505
BSLM2 UNKNOWN CMN 2127 -16.0 47.2 834
CPXC1 UNKNOWN CMN 4089 -174.3 54.8 4192
CSPA2 UNKNOWN CMN 587 53.1 45.7 151
DESW1 UNKNOWN CMN 631 -45.9 42.5 111
DRSD1 UNKNOWN CMN 223 -120.4 42.4 69
FHPF1 UNKNOWN CMN 6033 -55.4 45.8 1340
FILA2 UNKNOWN CMN 994 -16.3 46.9 492
GEXA2 UNKNOWN CMN 3026 -17.7 44.9 1250
GIXA2 UNKNOWN CMN 3550 -49.8 48.0 830
GTRM4 UNKNOWN CMN 3334 11.1 46.8 1124
GUXA2 UNKNOWN CMN 2898 0.8 50.0 976
HAXA2 UNKNOWN CMN 2882 -28.9 42.9 1493
HMSA2 UNKNOWN CMN 2823 79.5 47.4 1448
ICYA2 UNKNOWN CMN 3163 -8.0 45.9 1218
ILOH1 UNKNOWN CMN 4153 -25.5 47.5 2948
JCRN4 UNKNOWN CMN 2366 -41.4 31.3 595
KEXA2 UNKNOWN CMN 3132 -10.7 48.0 1235
LCNA2 UNKNOWN CMN 545 69.3 46.9 195
LJPC1 UNKNOWN CMN 667 42.8 36.8 71
MCYI3 UNKNOWN CMN 3656 62.6 40.6 780
MKGM4 UNKNOWN CMN 3738 -46.5 40.8 688
MRKA2 UNKNOWN CMN 1066 -66.1 49.2 418
MXXA2 UNKNOWN CMN 3490 -59.4 38.3 868
NAXR1 UNKNOWN CMN 2263 82.8 32.3 709
NKLA2 UNKNOWN CMN 3924 -37.5 36.0 329
NKXA2 UNKNOWN CMN 3006 16.7 47.5 1350
NPDW3 UNKNOWN CMN 1149 -64.4 41.0 294
NWWH1 UNKNOWN CMN 6236 -33.8 28.8 1086
OWXO1 UNKNOWN CMN 1912 -2.9 48.3 1060
PBFW1 UNKNOWN CMN 1754 23.4 45.9 1197
PBPA2 UNKNOWN CMN 302 -165.7 36.5 433
PCLM4 UNKNOWN CMN 1531 159.9 46.5 2919
PCNT2 UNKNOWN CMN 4995 -32.3 34.2 648
PGXA2 UNKNOWN CMN 2560 -135.0 45.5 1771
PILA2 UNKNOWN CMN 1095 -11.5 47.3 389
PNGW3 UNKNOWN CMN 3408 -57.2 47.1 1043
POTA2 UNKNOWN CMN 913 -88.6 52.0 572
PTLA2 UNKNOWN CMN 3429 -66.9 47.9 968
PWAW3 UNKNOWN CMN 3019 -2.4 45.1 1302
RIXA2 UNKNOWN CMN 3056 10.8 44.2 1299
RTAT2 UNKNOWN CMN 6805 -34.4 28.0 464
SAUF1 UNKNOWN CMN 0 0.0 0.0 21
SCXA2 UNKNOWN CMN 3345 -64.2 45.7 1016
SFXC1 UNKNOWN CMN 1795 37.4 24.1 58
SHPF1 UNKNOWN CMN 4755 3.9 44.1 1649
SHXA2 UNKNOWN CMN 3059 72.7 49.5 1299
SISA2 UNKNOWN CMN 436 -82.1 54.9 303
SISW1 UNKNOWN CMN 1935 149.9 45.6 2522
SJOM4 UNKNOWN CMN 2964 -9.3 44.1 1494
SLVM5 UNKNOWN CMN 3165 -7.6 48.2 1453
SLXA2 UNKNOWN CMN 2968 -23.4 44.8 1355
STXA2 UNKNOWN CMN 3033 -0.6 53.3 1328
SVNM4 UNKNOWN CMN 3314 -67.6 43.3 1090
TCMW1 UNKNOWN CMN 3929 38.7 45.6 3418
TIBC1 UNKNOWN CMN 1746 -85.2 49.4 1226
TKEA2 UNKNOWN CMN 2486 102.8 54.0 1903
WKXA1 UNKNOWN CMN 1541 159.2 47.3 1359
WNEM4 UNKNOWN CMN 6234 -39.5 41.5 1063
WPOW1 UNKNOWN CMN 392 -102.4 51.1 351
YRSV2 UNKNOWN CMN 1385 178.2 48.8 1582
ADKA2 UNKNOWN TG 1370 -31.4 35.8 114
ANPT2 UNKNOWN TG 1396 -48.1 25.8 88
ANTA2 UNKNOWN TG 894 1.8 53.6 533
ATKA2 UNKNOWN TG 1176 -58.9 47.6 307
BMTW1 UNKNOWN TG 696 106.1 48.3 785
CAPL1 UNKNOWN TG 1286 38.9 39.2 197
CECC1 UNKNOWN TG 1067 -82.2 47.2 416
CHAO3 UNKNOWN TG 929 -8.6 51.0 554
CNDO1 UNKNOWN TG 1051 -6.5 50.0 434
CPMW1 UNKNOWN TG 1312 38.0 35.1 153
CPNW1 UNKNOWN TG 1314 34.4 36.1 157
CRVA2 UNKNOWN TG 699 -167.9 53.6 786
DULM5 UNKNOWN TG 992 -15.2 42.2 491
FAIO1 UNKNOWN TG 1192 -39.3 40.0 164
FTPC1 UNKNOWN TG 1448 -30.8 25.0 35
GBWW3 UNKNOWN TG 923 3.5 50.2 560
HLNM4 UNKNOWN TG 1255 -51.3 43.1 225
ILOH1 UNKNOWN TG 843 -24.9 47.5 591
KDAA2 UNKNOWN TG 937 -13.7 46.3 548
KECA2 UNKNOWN TG 990 -21.6 49.3 495
KWHH1 UNKNOWN TG 875 -163.0 50.0 587
LJAC1 UNKNOWN TG 1343 41.4 38.0 139
LNDC1 UNKNOWN TG 1154 129.1 37.9 329
MCGM4 UNKNOWN TG 1090 -8.5 41.9 393
MGZP4 UNKNOWN TG 1103 -32.0 44.7 381
MNMM4 UNKNOWN TG 1331 -42.3 36.2 153
MOKH1 UNKNOWN TG 1474 -126.2 9.8 2
MZXC1 UNKNOWN TG 1463 37.3 22.6 20
NCHT2 UNKNOWN TG 1181 57.2 43.5 294
NTBC1 UNKNOWN TG 1028 -41.6 43.3 455
NWWH1 UNKNOWN TG 1259 -34.1 29.0 215
OKXC1 UNKNOWN TG 1231 31.9 31.5 125
PCNT2 UNKNOWN TG 377 -35.3 31.2 46
PLXA2 UNKNOWN TG 845 12.3 52.9 640
PORO3 UNKNOWN TG 793 -106.1 49.7 690
PRHH1 UNKNOWN TG 1344 -45.7 16.7 125
PSBC1 UNKNOWN TG 1367 54.4 22.5 116
PSLC1 UNKNOWN TG 685 106.6 49.9 798
PTAW1 UNKNOWN TG 329 27.7 49.5 411
PTWW1 UNKNOWN TG 785 176.0 53.5 687
RCKM4 UNKNOWN TG 1259 -45.9 40.8 222
RTYC1 UNKNOWN TG 563 122.4 31.2 920
TCMW1 UNKNOWN TG 792 141.1 45.1 691
TESL1 UNKNOWN TG 1042 -11.1 44.1 442
TPAF1 UNKNOWN TG 1055 -70.9 49.8 430
UNLA2 UNKNOWN TG 946 -74.2 48.5 539
VDZA2 UNKNOWN TG 563 98.8 49.7 708
WAKP8 UNKNOWN TG 1482 -132.1 0.7 2
WNEM4 UNKNOWN TG 1261 -40.2 41.3 217
41056 FB 2111 -87.6 0.0 0
44489 FB 664 36.0 36.2 46
45008 FB 3911 -39.8 40.3 551
45013 FB 1323 38.7 41.1 163
45022 FB 1146 8.8 44.8 457
45027 FB 3156 -15.0 47.9 1147
45139 FB 533 -18.6 42.2 196
45147 FB 620 40.5 44.6 111
45159 FB 651 -45.7 38.3 81
45165 FB 2721 -26.7 49.0 1276
45174 FB 2724 -38.8 43.4 965
45175 FB 1960 39.6 42.7 265
45178 FB 1125 -74.8 54.5 542
45186 FB 1813 -148.1 48.5 1601
45198 FB 2959 63.6 46.0 921
45199 FB 1043 -79.9 41.4 444
45208 FB 3452 39.4 37.2 240
45209 FB 2323 58.0 46.0 811
45218 FB 1952 40.5 44.3 277
45219 FB 1644 -77.0 43.8 607
46014 FB 4103 39.1 34.4 355
46022 FB 2771 21.4 41.6 1685
46027 FB 2599 9.8 51.2 1859
46050 FB 3143 -4.0 33.7 1316
46060 FB 570 55.1 45.9 165
46081 FB 493 -30.0 46.9 249
46087 FB 3702 49.5 42.3 753
46088 FB 2662 151.4 42.3 1793
46092 FB 470 21.9 43.4 267
46097 FB 2319 -1.6 34.9 860
46121 FB 597 88.2 44.1 358
46145 FB 573 38.2 39.0 149
46146 FB 373 -71.0 48.9 357
46185 FB 412 56.6 27.0 288
46303 FB 354 -17.0 53.5 258
46304 FB 552 -62.1 48.8 178
51004 FB 4459 89.7 5.0 0
13009 DB 262 -55.1 46.3 44
23095 DB 200 -30.4 20.0 3
52003 DB 663 -40.6 33.2 60
JULY 2024
WIND SPEED FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
4YZQEDM UNKNOWN SHP 170 5.5 4.2 8
9HA5073 CMA CGM CHILE SHP 30 6.6 3.9 0
9V7626 EVER MACH SHP 33 7.3 3.8 0
9V9402 APL BARCELONA SHP 108 5.8 4.4 2
AMOHK02 UNKNOWN SHP 0 0.0 0.0 156
C6FT7 NORWEGIAN DAWN SHP 35 7.6 4.5 3
VRTF2 UNKNOWN SHP 102 5.4 3.8 1
VRVP2 SAGA TUCANO SHP 23 6.5 2.4 1
EROA2 UNKNOWN CMN 736 5.5 3.3 0
ERXA2 UNKNOWN CMN 4379 6.1 3.4 0
CHSV3 UNKNOWN TG 1481 -5.7 2.0 0
OOUH1 UNKNOWN TG 1469 -6.5 1.9 0
23095 DB 203 -6.2 1.9 0
31002 DB 108 -6.5 1.2 0
JULY 2024
SEA SURFACE TEMP. FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
32ST0 UNKNOWN SHP 642 -10.1 0.6 0
3E5835 VST LYRA SHP 18 0.3 1.3 60
3FLO4 MSC MAGNIFICA SHP 54 -5.3 1.8 0
3FZI8 MSC SPLENDIDA SHP 34 -7.5 3.5 0
9HA4638 MSC SEASIDE SHP 22 -4.8 2.8 0
9HA5682 MSC WORLD EUROPA SHP 70 -6.4 4.9 3
9VFV5 MAERSK ALGOL SHP 85 4.5 1.6 0
AEBSEFT UNKNOWN SHP 73 4.1 2.4 0
MVEP4 UNKNOWN SHP 21 -6.8 4.6 1
OXVS2 MAERSK EVORA SHP 30 4.3 1.0 0
OYGM2 GERD MAERSK SHP 30 4.1 0.6 0
SBPT UNKNOWN SHP 30 4.3 2.4 0
SDIA UNKNOWN SHP 89 4.2 2.4 0
VRJZ9 MINERAL CHARLIE SHP 35 -9.1 1.6 0
WBP3210 NATHANIEL B. PALMER (AWS) SHP 730 -4.9 3.7 0
WZ3423 TIGLAX SHP 64 10.4 1.2 0
MLSC1 UNKNOWN CMN 2925 -4.0 5.0 2098
RLOT2 UNKNOWN CMN 6961 4.6 2.1 0
ANVC1 UNKNOWN TG 1482 -4.4 3.4 0
BKTL1 UNKNOWN TG 1483 5.5 4.7 0
CASM1 UNKNOWN TG 1467 -5.4 3.6 15
CHCM2 UNKNOWN TG 1477 4.5 4.8 0
FRDW1 UNKNOWN TG 1483 -5.6 2.1 0
GDMM5 UNKNOWN TG 1468 -5.5 3.9 12
HIST2 UNKNOWN TG 1446 4.8 2.5 0
ICAC1 UNKNOWN TG 1483 -5.8 3.2 0
KPTN6 UNKNOWN TG 1478 -4.4 3.1 0
LJAC1 UNKNOWN TG 1173 -3.7 6.9 309
LOPW1 UNKNOWN TG 1459 2.9 7.9 23
MEYC1 UNKNOWN TG 1442 -4.6 6.2 41
MZXC1 UNKNOWN TG 1401 -3.2 6.3 82
NTKM3 UNKNOWN TG 1482 4.7 1.1 0
PEGF1 UNKNOWN TG 770 4.0 1.7 0
PORO3 UNKNOWN TG 1429 -6.0 3.9 54
PSLC1 UNKNOWN TG 1482 -6.2 5.4 1
PTAW1 UNKNOWN TG 1375 -5.6 4.6 108
PTWW1 UNKNOWN TG 1411 -5.8 4.3 42
RLOT2 UNKNOWN TG 1412 4.6 2.0 0
SDBC1 UNKNOWN TG 1481 -3.3 7.0 0
SEIM1 UNKNOWN TG 1371 -6.4 3.9 112
SWLA2 UNKNOWN TG 1482 6.0 2.2 0
TCNW1 UNKNOWN TG 1335 -4.1 5.8 148
YATA2 UNKNOWN TG 1484 4.3 1.3 0
44013 FB 4438 -4.2 3.6 0
44029 FB 740 -5.1 3.6 3
44030 FB 744 -4.3 2.9 0
44056 FB 1487 -5.0 3.3 0
44073 FB 2423 -5.0 2.8 0
44258 FB 728 -4.6 4.0 0
45141 FB 541 5.8 1.9 0
45165 FB 3996 6.1 2.0 0
45201 FB 3112 -3.1 5.5 1227
46027 FB 4133 -5.6 4.3 295
46088 FB 4362 -6.2 3.6 55
46092 FB 685 -5.1 5.9 52
46181 FB 671 5.1 5.4 0
46215 FB 1486 -5.4 3.9 0
46224 FB 1441 -4.0 7.2 44
46225 FB 1486 -3.2 6.4 0
46240 FB 1441 -5.0 5.7 28
46253 FB 1485 -4.6 2.8 0
46254 FB 1449 -3.5 7.5 35
46256 FB 1435 -7.5 3.5 50
46266 FB 1350 -3.5 8.1 135
46267 FB 978 -6.3 4.8 140
46273 FB 1454 -3.6 7.4 31
46274 FB 1125 -2.0 7.7 360
46275 FB 1320 -4.2 7.4 167
46276 FB 1134 -4.3 6.5 352
46279 FB 1123 -4.2 6.5 362
46280 FB 1473 -4.7 3.5 12
46281 FB 1464 -4.5 3.4 21
TOTAL NUMBER OF OBSERVATIONS FOR JULY 2024 (EXCLUDING DUPLICATES
AND THOSE FROM CALLSIGN 'SHIP') WAS 2198158. TOTAL NUMBER OF
OBSERVATIONS FROM CALLSIGN 'SHIP' (EXCLUDING DUPLICATES) WAS 33.
TOTAL NUMBER OF IDS WAS 2593.
