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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
JANUARY 2025
SEA-LEVEL PRESSURE FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
2CYD8 UNKNOWN SHP 20 -5.3 0.6 0
2EIF7 UNKNOWN SHP 33 4.8 0.6 0
3E3566 UNKNOWN SHP 47 6.3 1.2 0
3EBY2 UNKNOWN SHP 12 12.3 3.4 28
3EJF3 MSC ORCHESTRA SHP 49 6.1 1.8 0
3EPL4 MSC POESIA SHP 248 5.8 3.6 0
3FFA5 MSC DIVINA SHP 24 13.4 1.7 26
3FOA6 MSC PREZIOSA SHP 108 4.8 3.6 5
3FON6 UNKNOWN SHP 44 4.5 2.0 0
3FWH8 EVER LOTUS SHP 58 7.0 4.5 0
3FYP8 UNKNOWN SHP 31 4.3 0.7 0
5LQA3 SPANACO ADVENTURE SHP 27 4.4 1.4 0
7JZY UNKNOWN SHP 19 1.0 1.2 11
7KAS UNKNOWN SHP 29 5.1 1.6 0
9HA3062 MEIN SCHIFF 3 SHP 38 -4.9 0.8 0
9HA3793 CMA CGM LITANI SHP 0 0.0 0.0 52
9HA3973 CMA CGM ARKANSAS SHP 22 -4.6 2.7 0
9HA5209 MSC VIRTUOSA SHP 452 8.8 4.5 5
9HA5370 MSC SEASHORE SHP 106 10.5 1.8 0
9HA5682 MSC WORLD EUROPA SHP 41 -5.2 3.0 0
9HA5823 EXPLORA 1 SHP 75 6.3 2.6 0
9HJB9 CELEBRITY CONSTELLATION SHP 74 4.3 1.2 0
9HSJ7 DISHA SHP 27 6.0 2.0 0
9V3736 UNKNOWN SHP 36 8.0 3.1 0
9V3912 KN AMETHYST SHP 459 4.1 1.4 0
9V5247 MAERSK SOPHIA SHP 30 5.3 1.0 0
9V6459 MAERSK AMAZON SHP 62 4.2 1.7 0
9V7629 EVER MAST SHP 21 4.6 1.1 0
9V7650 UNKNOWN SHP 188 8.2 2.2 3
9V7980 EVER FRANK SHP 43 6.3 1.6 0
9V9399 APL SOUTHAMPTON SHP 44 6.2 1.6 0
9V9404 APL DUBLIN SHP 48 4.4 2.1 0
9VHF2 MAERSK BATAM SHP 25 9.8 1.8 0
A8VP8 TUBUL SHP 23 8.7 2.1 0
A9LV SEAPEAK BAHRAIN SHP 16 13.7 0.9 16
C6ED5 CARIBBEAN VOYAGER SHP 20 4.2 1.9 1
C6EO5 CANOPUS VOYAGER SHP 29 7.3 1.0 0
C6FJ9 NORWEGIAN VIVA SHP 24 -5.5 1.6 0
D5XC5 YM TOTALITY SHP 41 -4.2 2.5 0
H8EW MSC ARMONIA SHP 37 5.0 3.3 0
HOPW MSC LIRICA SHP 102 -4.3 1.2 0
JPTX UNKNOWN SHP 86 6.4 1.8 0
KUL7SEK UNKNOWN SHP 44 4.8 0.9 0
LAPE7 STAR LIMA SHP 69 5.7 1.2 2
LAVD4 STAR HERDLA SHP 46 6.4 0.7 0
LAVN4 STAR HIDRA SHP 24 5.6 1.9 0
LOCW UNKNOWN SHP 34 -5.0 1.5 1
MRVWWQV UNKNOWN SHP 6 3.9 5.3 27
OBMT UNKNOWN SHP 37 4.5 2.0 0
ONKJ LA SELVA SHP 21 4.1 2.0 0
OXFU2 OLUF MAERSK SHP 22 4.8 0.8 0
OXSQ2 MAERSK ESSEX SHP 28 7.9 1.4 0
OZFW2 UNKNOWN SHP 30 -4.1 1.8 0
OZHS2 SALLY MAERSK SHP 97 6.3 1.3 0
S6CH6 MAERSK SEMAKAU SHP 41 5.3 1.1 0
TNVXRHV UNKNOWN SHP 20 -5.0 1.1 0
V7A2148 MINERAL BRUSSEL SHP 24 4.3 2.0 0
V7A4788 MARLIN HESTIA SHP 72 9.7 1.8 0
V7A5254 MARLIN LA PLATA SHP 517 4.3 5.6 0
V7A6073 STI MIRACLE SHP 21 5.6 0.6 0
V7A6082 STI MODEST SHP 461 6.1 2.1 0
V7A6440 RICHMOND VOYAGER SHP 56 6.0 2.0 0
V7DJ7 STI CONNAUGHT SHP 114 4.2 1.9 0
V7HH2 STI GALLANTRY SHP 20 -5.7 2.8 0
V7QT7 UNKNOWN SHP 32 4.2 2.1 0
VRCI9 UNKNOWN SHP 20 5.1 1.9 0
VRCY7 UNKNOWN SHP 26 6.4 1.8 0
VRDW2 UNKNOWN SHP 60 -4.3 0.8 0
VRIB2 UNKNOWN SHP 28 7.4 1.3 0
VRID6 COSCO PRINCE RUPERT SHP 30 -5.2 1.6 0
VRLT9 SAGA FANTASY SHP 35 5.0 0.9 0
VRTU5 NYSTED MAERSK SHP 77 -5.7 1.1 0
VRUN2 ZIM USA SHP 22 4.1 2.5 0
VRVO3 GERNER MAERSK SHP 41 8.6 0.9 0
WNGW TUSTUMENA SHP 29 -4.2 2.2 0
WTDO NOAA OREGON II (AWS) SHP 310 -2.0 6.4 0
YUTPB4M UNKNOWN SHP 63 4.5 1.8 0
ZGFY4 CAJUN SUN SHP 42 -8.4 1.8 0
HHLO1 UNKNOWN CMN 2952 -4.3 1.4 0
FRWL1 UNKNOWN TG 982 4.6 1.0 0
41082 FB 2952 -5.0 2.0 0
JANUARY 2025
AIR TEMPERATURE FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
3FAR9 UNKNOWN SHP 20 4.1 1.9 0
7AZU3YW UNKNOWN SHP 20 5.4 3.6 0
AMOUK85 UNKNOWN SHP 55 3.0 1.0 22
C6CN5 SEAPEAK VANCOUVER SHP 25 4.5 2.3 0
DBHNUYD UNKNOWN SHP 24 4.7 6.2 21
ONKJ LA SELVA SHP 21 6.7 2.0 0
V7HH2 STI GALLANTRY SHP 20 4.7 2.6 0
VRID6 COSCO PRINCE RUPERT SHP 30 4.0 2.7 0
VRWC8 UNKNOWN SHP 27 4.2 3.7 0
WTDO NOAA OREGON II (AWS) SHP 232 3.3 4.5 78
WTEG NOAA REUBEN LASKER (AWS) SHP 799 10.8 1.8 159
WUR8857 LEE A. TREGURTHA (AWS) SHP 0 0.0 0.0 154
PSTL1 UNKNOWN TG 928 -7.3 3.7 54
JANUARY 2025
WIND DIRECTION FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
2GLI9 EVER LINKING SHP 30 42.5 30.4 3
2WDQB3E UNKNOWN SHP 76 -151.1 9.5 4
32ST0 UNKNOWN SHP 362 63.5 44.3 60
3E3566 UNKNOWN SHP 46 92.6 9.8 1
3EBY2 UNKNOWN SHP 35 -38.8 36.6 5
3EWW7 EVER FORE SHP 15 -9.3 32.0 5
3FAR9 UNKNOWN SHP 11 -11.7 43.0 9
3FUY2 UNKNOWN SHP 27 165.3 16.2 4
3FZI8 MSC SPLENDIDA SHP 26 92.3 46.1 21
4ANFBRL UNKNOWN SHP 27 -92.2 5.6 0
6YDVKBY UNKNOWN SHP 32 49.8 52.7 8
7KGK UNKNOWN SHP 23 151.1 24.9 4
8RJHNYQ UNKNOWN SHP 36 -154.2 6.2 2
9HA4902 MSC BELLISSIMA SHP 67 -33.0 34.9 7
9HA5370 MSC SEASHORE SHP 87 -30.5 31.5 10
9HJB9 CELEBRITY CONSTELLATION SHP 70 -122.7 14.5 4
9HSJ7 DISHA SHP 20 -72.0 54.9 7
9SYU6TM KMARIN RESOURCE SHP 32 -39.5 44.1 5
9V3913 KN ARCADIA SHP 258 3.1 45.2 106
9V5243 MAERSK SEVILLE SHP 39 -143.0 12.4 3
9V7625 EVER MAX SHP 23 97.7 7.4 1
9V7648 UNKNOWN SHP 9 -31.3 35.0 16
9V8839 UNKNOWN SHP 37 -108.4 19.9 1
9V9288 EVER LAWFUL SHP 16 176.7 20.4 11
9V9404 APL DUBLIN SHP 46 -113.6 0.0 2
9V9574 MANIFESTO SHP 29 -38.1 44.3 6
A9LV SEAPEAK BAHRAIN SHP 17 -172.8 43.9 15
AHXS2YR UNKNOWN SHP 31 -32.4 15.1 0
AMOHK02 UNKNOWN SHP 87 -38.1 34.1 42
BFHM5UQ UNKNOWN SHP 45 113.2 0.6 2
BFUGCQQ UNKNOWN SHP 56 -167.9 10.5 4
BJKUBKR UNKNOWN SHP 33 -100.0 16.6 1
C6CX3 NORWEGIAN JOY SHP 347 -4.2 44.8 116
C6DL4 NORWEGIAN BLISS SHP 36 -94.0 3.4 0
C6EI3 APOLLO VOYAGER SHP 13 -8.5 48.0 13
C6EI4 ARTEMIS VOYAGER SHP 23 -56.0 42.3 5
C6FB3 NORWEGIAN PRIMA SHP 41 175.5 7.9 2
C6WK7 NORWEGIAN JADE SHP 28 -5.9 29.0 10
C6ZI9 SEVEN SEAS NAVIGATOR SHP 19 136.3 0.0 2
CCAV UNKNOWN SHP 18 -161.5 38.7 5
CFN5517 ALGOMA MARINER (AWS) SHP 1877 -32.1 37.6 126
D5AD7 TOLTEN SHP 30 -50.8 28.1 5
D5XC5 YM TOTALITY SHP 38 133.7 1.2 3
DDGR99J UNKNOWN SHP 24 -98.7 53.9 20
DUUBLZG UNKNOWN SHP 39 141.4 21.2 3
DUUFU3N UNKNOWN SHP 79 32.1 35.1 6
EUCFR07 UNKNOWN SHP 20 -3.0 32.5 7
GGJP2GK UNKNOWN SHP 29 31.8 35.9 3
GKHEABF UNKNOWN SHP 43 -159.1 23.6 2
H3AJ UNKNOWN SHP 13 29.5 47.1 7
H8XH MSC SINFONIA SHP 24 -8.8 41.8 9
JDWV7LP UNKNOWN SHP 70 -51.6 47.6 18
JKFA7QZ UNKNOWN SHP 78 112.0 14.9 2
JNSR UNKNOWN SHP 67 -92.2 1.8 0
KABP MAERSK OHIO SHP 29 154.7 9.5 2
KAQP ATLANTIS (AWS) SHP 38 -9.9 50.7 17
LAVN4 STAR HIDRA SHP 24 88.4 3.9 0
LOCU UNKNOWN SHP 20 0.6 33.1 9
LOCW UNKNOWN SHP 24 7.0 37.1 11
LVGC33T UNKNOWN SHP 20 147.7 0.9 2
MWAQ UNKNOWN SHP 26 -39.5 27.9 1
NBTM USCGC POLAR STAR SHP 62 -49.8 42.7 9
OBMT UNKNOWN SHP 23 -10.1 50.5 14
OWWS2 CORNELIA MAERSK SHP 31 -30.1 35.8 3
OXSQ2 MAERSK ESSEX SHP 18 163.8 46.0 6
QQGABRT UNKNOWN SHP 18 -46.2 31.7 5
RULLM7N UNKNOWN SHP 21 -144.9 0.2 2
S6LT3 UNKNOWN SHP 40 17.2 46.2 14
SWN8T6Y UNKNOWN SHP 24 171.2 12.9 2
TXQQQGX UNKNOWN SHP 19 -165.9 0.4 2
UBRI5 UNKNOWN SHP 17 -34.4 34.4 4
UDAD UNKNOWN SHP 34 -174.9 3.3 2
V7A2148 MINERAL BRUSSEL SHP 18 -7.2 29.6 6
V7A4787 MARLIN HERA SHP 295 -3.6 45.3 149
V7A4788 MARLIN HESTIA SHP 55 60.0 48.4 17
V7A5099 MARLIN LORETO SHP 40 153.6 14.9 3
V7A6073 STI MIRACLE SHP 20 105.5 8.3 1
V7A6496 SINGAPORE VOYAGER SHP 54 34.2 19.5 0
V7DJ7 STI CONNAUGHT SHP 105 33.1 26.0 9
V7QJ3 TRINITY SHP 41 43.7 43.8 4
VGWM JOHN D. LEITCH (AWS) SHP 38 -51.9 35.2 4
VLMJ UNKNOWN SHP 45 67.6 44.6 21
VMIC UNKNOWN SHP 418 -32.5 35.2 55
VRBX7 UNKNOWN SHP 17 13.4 28.8 6
VRCY7 UNKNOWN SHP 22 43.7 40.8 5
VREM6 UNKNOWN SHP 26 -0.9 39.0 12
VRFT7 UNKNOWN SHP 20 130.0 34.0 54
VRNS2 UNKNOWN SHP 38 41.6 35.0 3
VRVQ9 UNKNOWN SHP 17 33.6 36.1 3
VRWC8 UNKNOWN SHP 25 -32.6 27.3 2
WACW POLAR DISCOVERY SHP 35 111.2 10.2 2
WC5932 WILFRED SYKES SHP 47 179.8 4.4 30
WDC3031 RICHARD BRUSCO SHP 18 37.9 33.2 2
WDE7804 KESTREL SHP 266 92.8 44.3 221
WDK8035 STEADFAST SHP 430 -35.0 42.0 62
WNGW TUSTUMENA SHP 17 101.4 47.4 12
WSAF SALLY RIDE (AWS) SHP 217 0.6 53.5 140
WSQ2674 ROBERT GORDON SPROUL (AWS SHP 311 -10.4 49.0 180
WTDO NOAA OREGON II (AWS) SHP 190 -20.0 42.1 120
WTEB NOAA FAIRWEATHER (AWS) SHP 184 -18.0 47.8 100
WTED NOAA BELL M. SHIMADA (AWS SHP 133 -68.6 49.2 73
WTEO NOAA GORDON GUNTER (AWS) SHP 384 49.9 26.6 108
WTER NOAA NANCY FOSTER (AWS) SHP 48 108.9 33.5 39
WYM9567 AURORA SHP 813 -12.3 48.7 311
WZD2465 H. LEE WHITE SHP 21 122.2 9.6 2
XCCB4 UNKNOWN SHP 35 -111.9 18.0 2
XPPQEVQ UNKNOWN SHP 25 -32.9 30.9 1
XSPQWLM UNKNOWN SHP 33 -10.8 36.6 12
YUTPB4M UNKNOWN SHP 45 9.1 44.6 18
ACXS1 UNKNOWN CMN 1425 -3.3 51.0 543
ANMN6 UNKNOWN CMN 1273 -57.3 46.6 679
BABT2 UNKNOWN CMN 2700 -34.1 31.6 1399
CBLO1 UNKNOWN CMN 2798 -33.3 24.8 86
CLKN7 UNKNOWN CMN 33 -10.5 43.6 14
CPXC1 UNKNOWN CMN 3072 -64.9 45.5 2007
CSPA2 UNKNOWN CMN 419 47.1 40.2 58
DESW1 UNKNOWN CMN 351 -3.0 48.6 141
ELXC1 UNKNOWN CMN 1422 56.5 50.4 546
ERXA2 UNKNOWN CMN 927 46.6 39.8 153
GUXA2 UNKNOWN CMN 2075 -21.4 45.1 864
HAXA2 UNKNOWN CMN 1930 -11.6 45.8 1009
HMRA2 UNKNOWN CMN 1659 56.9 35.5 267
ILOH1 UNKNOWN CMN 2557 85.6 55.3 1544
JCRN4 UNKNOWN CMN 1817 -59.9 23.7 151
JLXA2 UNKNOWN CMN 2143 -27.5 43.8 794
KEXA2 UNKNOWN CMN 1874 6.7 48.5 1064
LJPC1 UNKNOWN CMN 371 52.1 50.3 120
LMFS1 UNKNOWN CMN 884 -8.1 36.9 368
LPNM4 UNKNOWN CMN 3546 30.8 21.3 63
MCYI3 UNKNOWN CMN 2911 -91.2 10.1 7
MRKA2 UNKNOWN CMN 706 -6.5 48.1 276
MRNA2 UNKNOWN CMN 2120 -14.3 47.0 809
MVXA2 UNKNOWN CMN 2489 43.4 46.5 451
MXXA2 UNKNOWN CMN 2328 -67.7 36.7 498
NAXR1 UNKNOWN CMN 1561 83.0 26.9 407
NPDW3 UNKNOWN CMN 794 -54.1 30.9 174
NWWH1 UNKNOWN CMN 2795 -25.6 38.3 1287
OMHC1 UNKNOWN CMN 3393 -6.1 52.4 1498
PAXA2 UNKNOWN CMN 1341 -4.6 37.4 483
PBFW1 UNKNOWN CMN 1252 4.9 53.2 684
PBPA2 UNKNOWN CMN 350 47.9 38.8 127
PCNT2 UNKNOWN CMN 3645 -56.9 34.7 455
PGXA2 UNKNOWN CMN 1840 -71.5 51.8 1076
POTA2 UNKNOWN CMN 673 -9.6 43.4 309
PTAT2 UNKNOWN CMN 467 -33.2 33.3 25
PTLA2 UNKNOWN CMN 2359 -60.3 44.1 555
RKXF1 UNKNOWN CMN 1834 45.4 33.9 134
RSJT2 UNKNOWN CMN 2796 -14.0 38.8 1304
RTAT2 UNKNOWN CMN 3824 -41.5 32.1 276
SDIA2 UNKNOWN CMN 1070 4.9 42.4 367
SFXC1 UNKNOWN CMN 1379 -75.3 51.0 589
SHXA2 UNKNOWN CMN 2048 63.3 49.9 871
SISW1 UNKNOWN CMN 1719 -2.4 56.9 1230
SKXA2 UNKNOWN CMN 2101 -19.4 32.4 812
SLVM5 UNKNOWN CMN 1611 53.3 23.4 1110
SLXA2 UNKNOWN CMN 2099 -2.8 49.6 822
STXA2 UNKNOWN CMN 1736 -140.6 47.0 1187
TCMW1 UNKNOWN CMN 3314 65.0 49.7 1155
TIXC1 UNKNOWN CMN 1355 -9.6 46.6 608
TKEA2 UNKNOWN CMN 1425 -175.7 51.2 1496
TPLM2 UNKNOWN CMN 432 -32.4 31.2 60
WAXM3 UNKNOWN CMN 0 0.0 0.0 24
WEXM1 UNKNOWN CMN 1782 -32.7 32.8 186
WKXA1 UNKNOWN CMN 1357 -9.1 36.1 579
WPOW1 UNKNOWN CMN 325 -90.3 52.8 167
YGNN6 UNKNOWN CMN 2890 -41.1 24.2 53
YRSV2 UNKNOWN CMN 1218 160.0 44.6 750
AAMC1 UNKNOWN TG 639 76.1 54.0 343
ANPT2 UNKNOWN TG 870 -60.1 32.5 112
ANTA2 UNKNOWN TG 699 57.4 50.3 279
ANVC1 UNKNOWN TG 654 176.5 48.0 328
BABT2 UNKNOWN TG 651 -35.4 31.3 327
BMTW1 UNKNOWN TG 581 -17.9 44.9 401
CHAO3 UNKNOWN TG 845 45.0 43.6 137
CKYF1 UNKNOWN TG 922 -34.6 33.4 60
CPMW1 UNKNOWN TG 901 -36.6 37.1 81
CPNW1 UNKNOWN TG 886 -38.2 34.7 81
CRVA2 UNKNOWN TG 640 -32.4 46.3 342
EMAT2 UNKNOWN TG 914 -34.6 29.5 68
FRWL1 UNKNOWN TG 905 -32.7 27.0 77
FTPC1 UNKNOWN TG 736 -10.4 45.1 246
ILOH1 UNKNOWN TG 651 3.6 55.7 332
JNEA2 UNKNOWN TG 727 -22.8 44.4 254
KECA2 UNKNOWN TG 612 -5.2 48.0 370
LJAC1 UNKNOWN TG 723 -12.7 51.5 259
LNDC1 UNKNOWN TG 639 -9.3 51.6 344
LPNM4 UNKNOWN TG 969 30.7 22.6 12
MGZP4 UNKNOWN TG 733 -60.5 41.9 249
MHBT2 UNKNOWN TG 867 -36.1 36.7 115
NTBC1 UNKNOWN TG 453 -99.7 54.6 529
NWWH1 UNKNOWN TG 669 -26.0 38.1 307
OBGN6 UNKNOWN TG 866 36.4 31.1 114
OKXC1 UNKNOWN TG 361 -8.6 49.1 188
OMHC1 UNKNOWN TG 677 -4.2 52.0 304
PACF1 UNKNOWN TG 107 90.0 5.0 0
PACT2 UNKNOWN TG 696 -33.9 33.8 232
PCLF1 UNKNOWN TG 82 -5.5 34.3 29
PCNT2 UNKNOWN TG 834 -58.3 34.4 105
PLXA2 UNKNOWN TG 671 -7.1 49.4 310
PORO3 UNKNOWN TG 804 -30.7 36.7 177
PRHH1 UNKNOWN TG 703 -38.8 40.3 278
PSBC1 UNKNOWN TG 724 72.4 51.1 258
PSLC1 UNKNOWN TG 631 -74.8 47.9 351
PTIM4 UNKNOWN TG 850 -45.4 36.7 131
PXOC1 UNKNOWN TG 641 -7.0 53.1 341
RSJT2 UNKNOWN TG 659 -16.3 39.1 319
RTAT2 UNKNOWN TG 917 -43.1 32.1 64
RTYC1 UNKNOWN TG 589 -2.8 55.7 393
TCMW1 UNKNOWN TG 695 -73.3 50.9 247
VDZA2 UNKNOWN TG 449 -171.1 55.5 455
44489 FB 458 31.0 25.3 34
46022 FB 1894 -9.1 44.9 1054
46027 FB 2379 -57.0 44.7 571
46053 FB 2092 8.3 48.3 852
46054 FB 2410 50.9 43.7 531
46060 FB 342 -145.1 42.6 149
46073 FB 149 158.0 31.1 1102
46078 FB 2946 -85.5 0.0 0
46087 FB 2089 5.2 42.0 861
46088 FB 1186 174.9 48.6 1764
46092 FB 292 -84.9 40.7 199
46121 FB 267 55.1 31.9 38
46146 FB 200 179.8 50.1 287
46181 FB 366 13.9 47.3 125
62124 FB 480 -30.5 29.3 11
62140 FB 17 148.8 33.7 65
63103 FB 77 89.0 5.0 0
23001 DB 176 40.0 39.9 24
23003 DB 8 150.9 25.8 197
23013 DB 177 30.3 31.7 16
23453 DB 102 32.8 35.2 20
23491 DB 96 -86.2 3.7 0
23497 DB 86 -7.2 42.9 29
51304 DB 486 -173.7 4.7 6
52003 DB 50 80.3 10.7 2
52321 DB 492 93.3 0.0 0
JANUARY 2025
WIND SPEED FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
3FZI8 MSC SPLENDIDA SHP 45 5.2 5.3 2
AMOHK02 UNKNOWN SHP 0 0.0 0.0 129
C6ZJ3 NORWEGIAN BREAKAWAY SHP 35 5.2 2.8 0
GLLU3AN UNKNOWN SHP 21 5.3 3.1 0
WC5932 WILFRED SYKES SHP 77 -7.1 2.3 0
BIGM4 UNKNOWN CMN 2952 -6.4 2.5 0
EROA2 UNKNOWN CMN 473 6.1 3.2 0
ERXA2 UNKNOWN CMN 1080 5.9 3.6 0
PGBP7 UNKNOWN CMN 4917 -5.1 1.8 0
SLVM5 UNKNOWN CMN 2721 -6.6 2.5 0
CHSV3 UNKNOWN TG 980 -5.3 2.5 0
PGBP7 UNKNOWN TG 982 -5.2 1.7 0
JANUARY 2025
SEA SURFACE TEMP. FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
32ST0 UNKNOWN SHP 422 -4.8 0.5 0
6YDVKBY UNKNOWN SHP 39 5.7 3.3 0
7KEK UNKNOWN SHP 28 4.5 0.7 0
9HA4902 MSC BELLISSIMA SHP 73 -5.7 4.0 1
9V3912 KN AMETHYST SHP 459 5.0 1.5 0
ALGOM03 ALGOMA COMPASS SHP 65 4.8 5.0 0
DBHNUYD UNKNOWN SHP 37 9.8 4.6 8
OXVS2 MAERSK EVORA SHP 75 4.5 1.1 0
SBPR UNKNOWN SHP 75 5.1 3.8 0
SBPT UNKNOWN SHP 79 4.2 3.9 1
SDIA UNKNOWN SHP 75 4.8 3.5 1
V7A4788 MARLIN HESTIA SHP 53 -6.3 2.6 0
VRNS2 UNKNOWN SHP 38 5.0 3.6 3
VRUZ9 SAGA HORIZON SHP 31 5.2 1.5 0
WDC6698 MARCUS G. LANGSETH (AWS) SHP 443 3.6 6.5 48
WL3972 HERBERT C. JACKSON (AWS) SHP 236 5.8 4.1 21
WTER NOAA NANCY FOSTER (AWS) SHP 87 -4.5 4.4 0
WUR8857 LEE A. TREGURTHA (AWS) SHP 150 4.4 3.7 4
WYP8657 JAMES R. BARKER (AWS) SHP 409 6.6 4.4 20
ELFA2 UNKNOWN CMN 4425 7.2 1.9 137
MACM4 UNKNOWN CMN 3436 7.3 3.9 535
NWCL1 UNKNOWN CMN 4339 3.2 6.1 131
RSJT2 UNKNOWN CMN 4198 -5.3 3.1 0
AGCM4 UNKNOWN TG 959 6.5 4.0 23
ALXN6 UNKNOWN TG 848 8.0 3.6 130
APAM2 UNKNOWN TG 969 4.5 5.1 12
BLTM2 UNKNOWN TG 919 5.3 5.5 43
BUFN6 UNKNOWN TG 887 8.2 3.5 95
BZST2 UNKNOWN TG 981 -5.2 1.4 0
CASM1 UNKNOWN TG 981 5.2 3.7 0
CAVN6 UNKNOWN TG 911 5.1 2.9 71
CNDO1 UNKNOWN TG 686 8.3 2.8 80
CRVA2 UNKNOWN TG 887 5.6 3.6 95
DTLM4 UNKNOWN TG 719 8.0 3.9 262
DULM5 UNKNOWN TG 184 10.9 2.8 397
EINL1 UNKNOWN TG 971 -4.2 2.7 0
ELFA2 UNKNOWN TG 954 7.1 1.8 27
FPKG1 UNKNOWN TG 981 2.6 6.1 0
HCGN7 UNKNOWN TG 870 -9.7 2.3 111
HLNM4 UNKNOWN TG 979 4.1 3.9 0
HRBM4 UNKNOWN TG 942 7.0 3.4 38
ITKA2 UNKNOWN TG 981 6.3 1.8 0
JNEA2 UNKNOWN TG 981 4.0 1.9 0
KECA2 UNKNOWN TG 982 4.4 2.1 0
LCLL1 UNKNOWN TG 950 0.5 6.5 31
LOPW1 UNKNOWN TG 981 4.5 3.3 0
MACM4 UNKNOWN TG 837 7.3 4.0 144
MNMM4 UNKNOWN TG 923 6.8 4.2 60
MNPV2 UNKNOWN TG 248 0.6 1.7 206
MRCP1 UNKNOWN TG 979 4.2 4.6 0
MRHO1 UNKNOWN TG 946 5.1 4.4 35
NEAW1 UNKNOWN TG 982 4.6 1.7 0
NLHC3 UNKNOWN TG 912 4.0 2.0 0
NMTA2 UNKNOWN TG 623 6.1 5.1 359
OBGN6 UNKNOWN TG 874 7.1 4.0 106
ORIN7 UNKNOWN TG 982 -4.7 1.8 0
PCGT2 UNKNOWN TG 975 -5.1 1.8 0
PCLF1 UNKNOWN TG 112 -5.1 1.8 0
PILL1 UNKNOWN TG 982 -10.8 1.2 0
PNLM4 UNKNOWN TG 736 8.4 3.8 244
PRDA2 UNKNOWN TG 413 8.5 4.4 558
PSTL1 UNKNOWN TG 982 -9.8 1.4 0
PTAW1 UNKNOWN TG 981 6.0 2.1 0
PTIT2 UNKNOWN TG 981 -4.2 1.8 0
PTWW1 UNKNOWN TG 982 5.1 1.9 0
RDDA2 UNKNOWN TG 499 5.3 5.1 459
RDYD1 UNKNOWN TG 982 4.2 4.7 0
RLIT2 UNKNOWN TG 979 -4.8 3.4 3
RSJT2 UNKNOWN TG 977 -5.5 3.1 0
SEIM1 UNKNOWN TG 982 4.5 3.8 0
SHBL1 UNKNOWN TG 974 -6.6 2.9 8
SKTA2 UNKNOWN TG 766 9.9 2.2 216
SWLA2 UNKNOWN TG 710 8.1 2.0 272
TCNW1 UNKNOWN TG 982 7.8 2.7 0
TKPN6 UNKNOWN TG 944 4.4 4.9 35
VDZA2 UNKNOWN TG 755 8.6 2.7 226
YATA2 UNKNOWN TG 982 6.2 2.8 0
44007 FB 2901 5.4 2.8 0
44013 FB 2917 6.2 3.6 0
44030 FB 480 5.1 2.8 0
44041 FB 881 4.6 3.5 0
44062 FB 1051 5.1 2.7 0
44073 FB 2515 4.3 2.6 0
44095 FB 973 -4.7 2.2 0
44258 FB 489 4.1 2.3 0
45212 FB 64 4.3 2.6 0
45215 FB 351 6.5 2.4 0
46087 FB 2880 5.1 1.7 0
46088 FB 2913 4.5 1.5 0
46146 FB 487 5.8 1.9 0
46181 FB 468 9.0 3.0 23
46267 FB 984 6.1 2.2 0
TOTAL NUMBER OF OBSERVATIONS FOR JANUARY 2025 (EXCLUDING DUPLICATES
AND THOSE FROM CALLSIGN 'SHIP') WAS 1259063. TOTAL NUMBER OF
OBSERVATIONS FROM CALLSIGN 'SHIP' (EXCLUDING DUPLICATES) WAS 37.
TOTAL NUMBER OF IDS WAS 2395.
