| Choose another month: |
|
Statistics on global surface marine meteorological and oceanographic data are compiled monthly by personnel of NOAA's
NWS/NCEP/Central Operations. These data include those which are observed/measured by ships (including those vessels that are part of the
U.S. Voluntary Observing Ship Project), moored and drifting buoys, Coastal Marine Automated Network (CMAN) stations, and tide gauge stations
(tide gauge data are provided by NOAA's National Ocean Service/Center for Operational Oceanographic Products and Services (NOS/CO-OPS)).
Separate statistics are compiled monthly for specified vessels in the Gulf of Alaska and for specificed member vessels of the
International SeaKeepers Society. The data for which these statistics are compiled include sea-level pressure, air temperature, and wind direction
and speed (for the surface meteorological data), and sea surface temperature (for the oceanographic data).
Only 1 year's worth of statistics will be available at any given time on this web site. Please note that the monthly statistics are updated on
the first business day of each month. I.e. if the 1st falls on a weekend or on a Federal Government holiday, the statistics are updated on the first
business day which follows the weekend the or holiday.
The global monthly statistics are sent to the
UKMet Office in Bracknell, England each month (the UKMet Office has been designated by the
World Meteorological Organization (WMO) as the lead center for monitoring surface marine observations), where they are consolidated with
additional statistics and forwarded to platform managers. The platform managers may then investigate platforms listed in the statistics to see if
instrumentation needs to be corrected. Please note that the statistical files available via this web site are not indentical to those passed to
Bracknell, in that the ship/platform names are included in the files on this web site (they are not included in the Bracknell files).
The monthly statistics produced for the Gulf of Alaska vessels and for the International SeaKeepers Society vessels are made available to those
program managers via this web site, so that they may evaluate the performance of select vessels in their area of interest.
All of the monthly statistics are computed using differences between the observed data and first guess fields from one of 2 NWS numerical
models. This file explains the method of comparison between the data and first guess fields, and also provides the criteria used in determining
which platforms will be listed in the NCEP Central Operations (NCO) global marine statistics each month.
Standard of Comparison
Data from each platform (ships, moored (fixed) buoys, drifting buoys, CMAN platforms, and tide gauge stations) are compared to forecasts from
one of 2 NWS numerical models for each of 4 daily synoptic periods. Each synoptic period is a 6 hour window centered on the times given in the
table below. The first guess valid times are also given below. All data observed/measured during each synoptic period are compared to the first
guess valid for that synoptic period. The first guess is interpolated to the platform's location and differences between observation and first guess
are computed. Differences between observed data and forecasts are archived four times daily.
| Synoptic Period | Numerical Model Used | First Guess Valid Time |
|---|---|---|
| 0000 UTC | 6-hour forecast from the 1800 UTC run of NWS's Global Data Assimilation System (GDAS) | 0000 UTC |
| 0600 UTC | 6-hour forecast from the 0000 UTC run of GDAS | 0600 UTC |
| 1200 UTC | 6-hour forecast from the 0600 UTC run of GDAS | 1200 UTC |
| 1800 UTC | 6-hour forecast from the 1200 UTC run of GDAS | 1800 UTC |
If the GDAS is unavailable for a particular synoptic period, a 6-hour forecast from the previous run of NWS's
Global Forecast System (GFS) is
used instead.
Each synoptic period includes data with observation times +/- 3 hours as follows:
| Synoptic Period | Observation Times of Data |
|---|---|
| 0000 UTC | 2100 UTC (previous day) through 0259 UTC |
| 0600 UTC | 0300 UTC through 0859 UTC |
| 1200 UTC | 0900 UTC through 1459 UTC |
| 1800 UTC | 1500 UTC through 2059 UTC |
No time interpolation between observed data and first guess is done (i.e. an observation from 1000 UTC or 1400 UTC will be compared to a first
guess valid at 1200 UTC).
Criteria for specific parameters
For each of the 5 parameters (sea-level pressure, air temperature, wind speed, wind direction, and sea surface temperature) included
in the monthly statistics, the following criteria must be met in order for a particular platform to be listed in the NCO global monthly
statistics
Sea-level pressure (slp):
Air temperature:
Wind direction:
Wind speed:
Sea surface temperature (sst):
Specific callsigns were given to NCO to indicate those vessels which are to be included in these monthly statistics. No other criteria must
be met, except that the vessels must have at least one observation during the desired month. If a vessel reports only once during a
specific month, then the bias for any reported parameter is not a mean bias but is merely the difference between observed and first guess
values for that parameter. Standard deviation is only computed when a vessel has 2 or more reports for any particular parameter in the
month. As with the global monthly statistics, gross errors are not included in computations of bias or standard deviation (see Definition
of gross errors below).
With the exception of wind direction, the bias for each parameter is always computed as (observed data - first guess). A mean difference bias for
slp of -4.8 mb would mean that the observed slp for that platform is, on average, 4.8 mb lower than the first guess slp. Also, a low standard
deviation (SD) of the difference would mean that the platform's bias is consistent (the closer to 0 the SD is, the more consistent that platform is
for that parameter). For example, if the slp bias was -4.8 mb and standard deviation of the difference was 1.0, that would imply that the platform
consistently was around 4.8 mb too low with its slp. If the SD is high, then the platform has a lot of variability for the parameter in question, with
with regards to its comparison with the first guess.
Calculation of bias and standard deviation for wind direction
For platforms reporting wind direction that is consistently close to 180 degrees off the first guess wind direction, using the regular algorithm of
(observed wind direction - first guess wind direction) would result in a very large SD and bias, which would make it difficult to detect the wind
direction error. The ideal for this situation would be to have a small SD with a bias on the order of 180 degrees. This is possible with the use of
the algorithm used by Meteo-France's Centre for Marine Meteorology (Centre de Meteorologie Marine (CMM)) in computation of wind direction
statistics for moored and drifting buoys. This algorithm computes bias and SD for the following series:
where Obs = observed wind direction and FG = first guess wind direction.
The bias and SD are computed for each of the above 4 series. The smallest of the 4 SD values is selected and then (bias - i) (where i is 0, 90, -90,
and 180, respectively) is selected as the actual bias if the series ((Obs + i) - FG) was the series associated with the smallest SD. See the following
table for more details.
| If smallest SD is computed for | Bias used is |
|---|---|
| (Obs - FG) | bias = ((bias of (obs - FG)) - 0) |
| ((Obs + 90) - FG) | bias = ((bias of ((obs + 90) - FG)) - 90) |
| ((Obs - 90) - FG) | bias = ((bias of ((obs - 90) - FG)) - (-90)) |
| ((Obs + 180) - FG) | bias = ((bias of ((obs + 180) - FG)) - 180) |
Using this algorithm for all wind direction bias and SD computations will ensure that the most accurate representation of the difference between
observed wind direction and first guess wind direction will be used and displayed in the monthly statistics.
Sample lines from global monthly statistics (and explanation)
NCEP CENTRAL OPERATIONS (NCO) PLATFORM STATS
AUGUST 2024
SEA-LEVEL PRESSURE FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
3FFA5 MSC DIVINA SHP 50 11.9 2.1 3
The above lines were taken from the global monthly statistics produced for August 2024. The platform shown has the callsign 3FFA5. Its name
Caveat
Please note that a platform's appearance in the monthly statistics does not necessarily mean that the platform's data are bad. A high bias can be
indicative of a persistent problem with the first guess at the platform's lcoation. While the model's grid resolution and topogoraphical resolution are
1 degree x 1 degree, this is still not fine enough to depict small-scale local meteorological and oceanographic effects. In addition, the first guess, in
general, performs more poorly in the Southern Hemisphere than in the Northern Hemisphere, due to lower data counts (much less land south of
the Equator, so not nearly as many land-based surface and upper air observations, plus major shipping lanes are primarily in the Northern
Hemisphere).
An observation is considered to be a gross error if it differs from the first guess by the following values:
| slp | abs(obs - fcst) ≥ 15.0 mb |
| air temperature | abs(obs - fcst) ≥ 15.0 deg C |
| wind direction | abs(obs - fcst) ≥ 100 degrees |
| wind speed | abs(obs - fcst) ≥ 15.0 m/s |
| sst | abs(obs - fcst) ≥ 15.0 deg C |
| abs: | absolute value |
| obs: | observation |
| fcst: | forecast (first guess) |
By convention, gross errors are not used in the computation of the mean difference or standard deviation.
Platform types seen in monthly statistics
| Abbreviation | Type |
|---|---|
| SHP | ship |
| DB | drifting buoy |
| FB | fixed (moored) buoy |
| CMN | CMAN platform |
| TG | tide gauge station |
Statistics are not computed for platforms with the following callsigns: 'SHIP', 'BUOY', 'BBXX', 'PLAT', 'RIGG', or 'METEO'. These callsigns are not
unique (i.e. more than one platform may have the same callsign), so statistics for these callsigns would be meaningless.
Ship and Platform Names
The ship and platform names are obtained from several sources. Since callsigns and ship names change from time to time, a particular callsign
may be associated with 2 or more different names, or a ship name may be associated with several callsigns. Although we will update the names
file several times a year, we may not know which callsign/name is current.
A good web site for querying ship names and/or callsigns is that of the
Ship-Of-Opportunity Programme (SOOP), which is a joint program of the
WMO and the Intergovernmental Oceanographic Commission (IOC). On the OceanOps dashboard, click "Enter Dashboard". In the upper left
"Search" bar, one may enter a full or partial ship name or callsign, and an attempt will be made to find a match on either.
Additional Marine Data/Information
If you are seeking climatological marine data such as average temperature, wave heights, or prevailing winds for a particular oceanographic
region, please contact NOAA's National Centers for Environmental Information (NCEI).
For marine forecasts, please contact NOAA/NWS/NCEP's
Ocean Prediction Center (OPC).
Return to Top
NCEP CENTRAL OPERATIONS (NCO) PLATFORM STATS
MARCH 2026
SEA-LEVEL PRESSURE FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
3E2585 EVER ARIA SHP 0 0.0 0.0 32
3E3566 UNKNOWN SHP 50 7.5 1.4 0
3EBY2 UNKNOWN SHP 2 14.3 0.1 29
3EFK6 MSC MUSICA SHP 98 -5.3 3.6 1
3ETR7 MSC FANTASIA SHP 176 5.1 3.1 0
3FAE4 EVER LUCKY SHP 109 8.5 6.1 1
5LGV4 YM TRILLION SHP 41 5.8 1.3 0
5LYQ3 UNKNOWN SHP 35 5.2 3.1 0
7WFBSAS UNKNOWN SHP 102 4.2 2.3 0
9HA3062 MEIN SCHIFF 3 SHP 39 -5.6 1.2 0
9HA3973 CMA CGM ARKANSAS SHP 51 -7.9 4.5 2
9HA4638 MSC SEASIDE SHP 56 11.8 2.6 9
9HA4777 MSC SEAVIEW SHP 115 5.5 1.6 0
9HA4902 MSC BELLISSIMA SHP 31 11.3 1.4 6
9HA5209 MSC VIRTUOSA SHP 357 3.9 7.4 55
9HA5677 MSC SEASCAPE SHP 22 -0.0 2.5 40
9HA6165 CMA CGM BLUE SHP 28 6.6 1.2 0
9HJB9 CELEBRITY CONSTELLATION SHP 110 4.9 1.2 0
9V2728 SUNSTAR SHP 128 4.2 1.2 0
9V5241 MAERSK SYDNEY SHP 44 4.1 2.0 0
9V5246 MAERSK SHEERNESS SHP 37 5.3 0.8 1
9V6972 HYPERION SHP 61 4.6 1.6 0
9V7524 EVER SUMMIT SHP 62 -6.3 1.7 0
9V7659 EVER MACRO SHP 61 8.4 2.6 1
9V7661 EVER MAGIC SHP 66 7.6 4.4 24
9V7754 MAERSK WALLIS SHP 73 6.1 1.9 0
9V7761 ZIM RUBY SHP 22 8.5 2.8 0
9V9290 EVER LEGACY SHP 51 10.8 3.5 7
9V9408 MAERSK CAMEROUN SHP 60 4.1 1.1 0
A8EI4 YM WEALTH SHP 39 4.5 3.9 0
C6CA7 UNKNOWN SHP 109 4.7 0.9 0
C6FJ9 NORWEGIAN VIVA SHP 54 -5.2 7.2 15
C6HZ7 SAGA FLORA SHP 34 6.3 1.6 0
C6HZ9 SAGA FRAM SHP 22 9.2 1.4 0
C6IB6 SAGA ODYSSEY SHP 60 4.8 1.9 0
C6PZ8 NORWEGIAN SKY SHP 186 -5.1 1.4 0
C6TX6 NORWEGIAN JEWEL SHP 46 11.1 2.4 0
CQ2357 STI BROADWAY SHP 24 4.1 1.8 0
D5264 MAERSK LABREA SHP 38 4.3 3.5 1
D5UC5 UNKNOWN SHP 23 -4.5 0.5 0
ELYB6 BERTOLLE SHP 23 9.2 1.4 7
H3TM EVER FRONT SHP 54 4.7 1.5 0
H3WC EVER FOREVER SHP 22 -5.1 3.1 0
KPJG PRESIDENT LB JOHNSON SHP 40 7.3 2.7 2
LAQJ7 STAR LINDESNES SHP 32 6.7 2.8 0
LAQN7 STAR LOEN SHP 103 6.0 2.0 0
LATL8 PARSIFAL SHP 29 -5.2 3.9 0
MJKZ4 EVER SHINE SHP 49 4.7 1.6 0
ONLA MINERAL DANMARK SHP 62 10.2 2.5 1
OXSQ2 MAERSK ESSEX SHP 42 9.4 4.9 0
OZFW2 UNKNOWN SHP 65 4.2 1.3 0
OZJM2 MAERSK LIMA SHP 31 4.1 1.9 0
S6AN5 MAERSK COLOMBO SHP 27 10.2 2.4 8
S6NQ APL FULLERTON SHP 123 -10.7 2.0 1
V7A4788 MARLIN HESTIA SHP 606 4.1 3.9 9
V7A5727 SFL FRASER SHP 20 -4.1 2.4 0
V7A6082 STI MODEST SHP 339 8.6 2.6 3
V7A6440 RICHMOND VOYAGER SHP 165 6.5 2.5 0
V7A6497 PASCAGOULA VOYAGER SHP 30 5.8 3.1 0
V7A6573 UNKNOWN SHP 32 -4.3 1.0 0
V7FA7 STAR LYGRA SHP 84 5.1 1.4 0
V7RX6 SIRENA SHP 77 -4.3 1.3 0
V7TN8 UNKNOWN SHP 20 4.5 2.8 0
VRGO6 UNKNOWN SHP 141 -5.4 2.9 0
VRJS3 UNKNOWN SHP 44 6.2 0.9 0
VRJT5 MAERSK CHAMBAL SHP 45 4.3 0.9 0
VRLQ4 UNKNOWN SHP 20 4.5 2.3 0
VRVB3 SILHOUETTE ISLAND SHP 60 4.2 1.0 0
VRVO5 GUNHILDE MAERSK SHP 59 6.7 1.2 0
VRVP3 GUSTAV MAERSK SHP 55 6.9 2.3 0
OLCN6 UNKNOWN CMN 4070 -9.9 1.5 41
PWAW3 UNKNOWN CMN 83 -14.0 0.9 8815
RPRN6 UNKNOWN CMN 4079 -9.2 1.6 11
MARCH 2026
AIR TEMPERATURE FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
4GF9XEL UNKNOWN SHP 66 4.1 1.7 0
9V3305 JIANGMEN TRADER SHP 20 4.5 2.9 0
C6CA7 UNKNOWN SHP 109 4.3 1.7 0
C6CN5 SEAPEAK VANCOUVER SHP 39 4.8 3.0 0
C6HZ9 SAGA FRAM SHP 22 4.2 2.5 0
CQ2357 STI BROADWAY SHP 24 4.8 2.6 0
NGDAHHQ UNKNOWN SHP 50 4.3 1.9 0
OUQK2 CLEMENTINE MAERSK SHP 69 4.7 2.1 0
S6NQ APL FULLERTON SHP 82 2.5 2.4 43
UHOW UNKNOWN SHP 15 -11.6 1.9 20
VNMHWHH UNKNOWN SHP 27 4.0 1.4 0
VRDD9 PUGET SOUND SHP 21 5.2 2.7 0
VRVW8 UNKNOWN SHP 47 4.4 2.9 1
VRWC8 UNKNOWN SHP 23 4.8 2.6 0
WTEG NOAA REUBEN LASKER SHP 474 10.9 2.8 166
YDDP2 UNKNOWN SHP 22 4.0 1.6 0
FPTM4 UNKNOWN CMN 2553 6.2 2.4 16
EPTT2 UNKNOWN TG 1487 5.2 1.2 0
VDZA2 UNKNOWN TG 1447 4.2 3.5 0
44056 FB 764 -4.3 3.7 0
46004 FB 740 4.3 1.2 0
46181 FB 72 4.2 3.0 38
46275 FB 1388 -4.4 3.1 0
MARCH 2026
WIND DIRECTION FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
2FRK7 EVER LASTING SHP 36 -90.4 39.2 32
2HDG3 EVER LISSOME SHP 84 120.3 8.8 2
2JQFMZZ NORA MAERSK SHP 90 37.9 33.3 8
2PN7YZN UNKNOWN SHP 20 142.0 30.3 5
2VTR5FE UNKNOWN SHP 40 -110.2 34.8 1
3E4612 UNKNOWN SHP 68 -94.8 1.3 0
3EFY4 UNKNOWN SHP 21 -30.2 26.0 3
3FRE6 MERCURY HOPE SHP 29 33.0 29.8 0
4SYY57Q UNKNOWN SHP 19 -39.3 35.6 4
4WA287U UNKNOWN SHP 17 40.1 48.4 4
4YZQEDM UNKNOWN SHP 21 -55.4 47.1 3
5EXMSZP UNKNOWN SHP 20 -55.0 29.9 3
5HKNS4T UNKNOWN SHP 247 -32.0 37.5 21
5LBI9 PACIFIC CITRINE SHP 27 -151.5 9.8 2
5LGV4 YM TRILLION SHP 24 126.1 33.3 17
5LUD4 UNKNOWN SHP 9 -140.3 22.3 12
5MGXH3D UNKNOWN SHP 45 -129.9 31.4 4
7JXX UNKNOWN SHP 31 111.2 12.2 2
7KDA UNKNOWN SHP 22 133.2 13.1 2
7KPW UNKNOWN SHP 17 -133.3 28.1 21
7LLZZWH UNKNOWN SHP 23 -0.7 23.4 8
8BVMQRP UNKNOWN SHP 38 -86.0 0.0 0
8CH7ABA UNKNOWN SHP 40 -107.1 9.8 1
9FV386K UNKNOWN SHP 86 -31.2 38.4 11
9HA4883 MEIN SCHIFF 2 SHP 18 -169.4 4.2 2
9HA5677 MSC SEASCAPE SHP 48 -135.7 26.2 6
9HYO7 RAAHI SHP 50 -40.6 27.9 5
9V2727 SILVIO SHP 140 10.7 40.3 61
9V5247 MAERSK SOPHIA SHP 43 110.6 9.2 2
9V6242 FEDERAL MASAMUNE SHP 28 -104.1 21.0 2
9V7641 EVER MEMO SHP 127 -30.6 45.2 29
9V7661 EVER MAGIC SHP 68 8.1 42.2 23
9V7761 ZIM RUBY SHP 21 96.9 13.4 1
9VMX9 YM WORTH SHP 17 39.6 44.8 3
AMOHK02 UNKNOWN SHP 119 -38.2 32.5 135
AUTP DESH VISHAL SHP 16 65.6 42.6 5
C6BU3 UNKNOWN SHP 31 -32.6 29.0 3
C6DL4 NORWEGIAN BLISS SHP 119 -2.3 46.9 58
C6FT7 NORWEGIAN DAWN SHP 27 5.1 45.7 20
C6GY5 CARNIVAL JUBILEE SHP 67 -103.6 9.9 3
C6HY7 SAGA CREST SHP 35 -153.2 22.3 3
C6TX6 NORWEGIAN JEWEL SHP 44 -124.5 12.3 2
C6VV8 SEVEN SEAS MARINER SHP 81 34.5 35.1 8
C6WK7 NORWEGIAN JADE SHP 56 -2.3 38.6 19
CQ2357 STI BROADWAY SHP 22 -105.9 14.9 2
CUF6ZJD UNKNOWN SHP 21 -174.2 13.8 2
D5CM8 ALCOR SHP 23 93.9 7.6 1
D5KF6 UNKNOWN SHP 23 -135.8 13.2 2
DDGR99J UNKNOWN SHP 27 147.8 47.8 12
DEBNQEP UNKNOWN SHP 16 -128.6 28.6 10
DYBJBBS UNKNOWN SHP 66 103.8 16.5 1
GMAMUGE AZAMARA ONWARD SHP 26 30.1 33.5 4
GXDFFHB UNKNOWN SHP 26 41.2 47.5 4
HOPW MSC LIRICA SHP 20 37.0 39.0 4
JCP83EY UNKNOWN SHP 42 -39.8 33.0 6
KER7UNY UNKNOWN SHP 56 -94.2 1.4 0
KNBQKAQ UNKNOWN SHP 26 175.4 27.5 2
KZAMFKY UNKNOWN SHP 71 31.4 34.2 3
LAGB5 STAR HARMONIA SHP 50 161.8 20.6 2
LAHR7 STAR KIRKENES SHP 262 122.8 23.7 16
LAPD7 STAR LAGUNA SHP 15 53.6 40.3 5
LOAI UNKNOWN SHP 26 50.9 41.8 8
LVGC33T UNKNOWN SHP 29 -90.5 7.0 0
MERFR10 UNKNOWN SHP 48 -31.4 35.1 6
MERFR23 UNKNOWN SHP 27 155.2 15.1 4
MJPVYDL UNKNOWN SHP 57 87.9 6.4 0
OBMT CARRASCO SHP 46 -14.4 50.8 26
ONLU MINERAL DEUTSCHLAND SHP 61 -39.9 43.4 9
ONMD MINERAL SVERIGE SHP 20 -37.3 28.2 1
OXLK2 MAERSK EMDEN SHP 46 -30.8 28.4 3
OYGM2 GERD MAERSK SHP 19 -31.4 28.7 1
OZFW2 UNKNOWN SHP 57 35.5 36.8 8
QJLVJFW UNKNOWN SHP 28 65.0 48.2 10
S6AN5 MAERSK COLOMBO SHP 23 -7.1 34.3 12
S6CH6 MAERSK SEMAKAU SHP 57 -114.3 11.9 3
TEPWR4U UNKNOWN SHP 27 -5.5 29.2 16
TXWN4PV UNKNOWN SHP 31 -177.8 1.7 2
V7A3918 GH CHRISTIE SHP 58 -5.0 41.5 31
V7A4788 MARLIN HESTIA SHP 533 -31.2 36.8 80
V7A5716 UNKNOWN SHP 33 -164.9 18.1 7
V7A6081 STI MYSTERY SHP 327 -4.7 47.4 191
V7A7519 FAIRCHEM PATHFINDER SHP 19 142.4 36.7 5
V7JD6 STI ALEXIS SHP 25 170.0 46.6 44
V7KD8 S RUMBA SHP 18 12.4 44.6 6
VRAR6 UNKNOWN SHP 42 18.6 49.6 16
VRBQ6 UNKNOWN SHP 14 4.1 45.3 9
VRCU7 UNKNOWN SHP 22 106.5 7.7 3
VRDD9 PUGET SOUND SHP 20 -97.7 15.1 1
VRFU9 UNKNOWN SHP 27 39.4 37.9 2
VRNS2 UNKNOWN SHP 17 177.0 30.1 6
VRQL9 UNKNOWN SHP 25 -31.8 31.6 1
VRQX5 UNKNOWN SHP 21 -114.0 7.8 2
VRRB5 SHANDONG DA CHENG SHP 107 39.8 37.3 10
VRWC8 UNKNOWN SHP 20 126.2 16.1 3
VSJG7 EVER ELITE SHP 25 -127.7 0.4 2
VTLD UNKNOWN SHP 17 35.7 30.7 3
WDE6486 MEDEIA SHP 50 154.5 48.7 47
WDE7804 KESTREL SHP 250 40.1 45.1 57
WDG2803 ARCTIC TITAN SHP 676 -32.0 39.4 80
WDK5676 HUBBARD SHP 1085 -14.9 45.0 440
WDK8035 STEADFAST SHP 345 -25.9 48.0 124
WECH MANULANI SHP 47 -140.9 11.4 3
WSQ2674 ROBERT GORDON SPROUL SHP 483 -6.0 51.5 235
WTDH NOAA OKEANOS EXPLORER SHP 312 -51.6 39.4 42
WTDL NOAA PISCES (AWS) SHP 672 -18.8 49.8 308
WTEA NOAA THOMAS JEFFERSON SHP 125 -11.3 44.6 98
WTEF NOAA RAINIER (AWS) SHP 253 -91.3 7.5 1
WTEG NOAA REUBEN LASKER SHP 247 -67.0 49.5 71
WXY6216 JOSEPH L. BLOCK (AWS) SHP 36 98.5 5.0 1
WZ3423 TIGLAX SHP 508 -83.6 49.1 230
XNDW39M UNKNOWN SHP 19 -37.7 36.6 2
XSPQWLM UNKNOWN SHP 45 -94.3 12.6 1
YTWRDKK UNKNOWN SHP 60 36.9 36.3 10
YUQ9J4P UNKNOWN SHP 22 0.5 26.3 9
YWG5SAU UNKNOWN SHP 63 -31.7 24.1 3
ACXS1 UNKNOWN CMN 2173 -18.0 38.4 775
AJXA2 UNKNOWN CMN 3127 -67.0 50.1 1295
ANMN6 UNKNOWN CMN 2168 -55.7 48.4 776
BABT2 UNKNOWN CMN 7256 -30.2 19.2 131
CLSM4 UNKNOWN CMN 2948 -7.5 34.4 1370
CPXC1 UNKNOWN CMN 3943 96.0 44.6 3311
CSPA2 UNKNOWN CMN 409 -100.1 39.2 321
ELXC1 UNKNOWN CMN 1830 8.6 53.2 1118
HAXA2 UNKNOWN CMN 2711 82.7 50.3 1732
HMRA2 UNKNOWN CMN 2071 -72.4 49.0 877
HMSA2 UNKNOWN CMN 3227 -80.5 49.3 1213
ILOH1 UNKNOWN CMN 5107 -64.1 52.7 2279
JCRN4 UNKNOWN CMN 2474 -44.6 30.9 478
JLXA2 UNKNOWN CMN 2824 -79.8 53.5 1616
JMLA2 UNKNOWN CMN 3203 -1.8 54.0 1238
JOXP4 UNKNOWN CMN 2832 -32.7 26.8 110
LIXA2 UNKNOWN CMN 1607 -4.7 28.8 711
LJPC1 UNKNOWN CMN 471 63.9 48.9 193
MKGM4 UNKNOWN CMN 3919 57.4 35.6 521
MRNA2 UNKNOWN CMN 3182 -18.0 45.5 1248
MVXA2 UNKNOWN CMN 2964 -11.6 50.7 1447
MXXA2 UNKNOWN CMN 2886 -78.7 48.9 1257
NAXR1 UNKNOWN CMN 2232 78.9 33.6 716
NIWS1 UNKNOWN CMN 2017 -3.2 40.6 931
NKLA2 UNKNOWN CMN 2844 -51.6 40.1 277
NPDW3 UNKNOWN CMN 1111 -40.7 38.0 265
OMHC1 UNKNOWN CMN 4217 -0.3 49.6 3115
PRTA2 UNKNOWN CMN 480 -9.2 35.5 245
PTGC1 UNKNOWN CMN 1828 94.4 38.5 1882
PTLA2 UNKNOWN CMN 2983 -28.0 45.7 1458
RTAT2 UNKNOWN CMN 7335 -44.3 15.7 55
SDRT2 UNKNOWN CMN 7057 -30.4 22.7 183
SFXC1 UNKNOWN CMN 2438 46.9 44.9 510
SHXA2 UNKNOWN CMN 3320 61.1 43.9 1053
SISW1 UNKNOWN CMN 3301 15.6 48.4 1162
SKXA2 UNKNOWN CMN 3163 -81.9 48.9 1264
SLVM5 UNKNOWN CMN 2490 -89.7 49.4 1768
STXA2 UNKNOWN CMN 3214 -73.3 45.6 1143
SVNM4 UNKNOWN CMN 170 -35.4 18.9 1
SXHW3 UNKNOWN CMN 2933 -3.7 44.5 1519
TCMW1 UNKNOWN CMN 5266 2.9 49.0 2145
TIBC1 UNKNOWN CMN 1077 110.3 44.8 1896
TIXC1 UNKNOWN CMN 1928 16.6 39.9 1020
TKEA2 UNKNOWN CMN 3085 0.1 51.0 1328
WATS1 UNKNOWN CMN 3311 -57.0 50.1 1133
WHRI2 UNKNOWN CMN 1283 -34.1 31.4 183
WKXA1 UNKNOWN CMN 2115 -13.0 36.7 828
WPOW1 UNKNOWN CMN 558 16.5 44.6 186
WPTW1 UNKNOWN CMN 9 56.5 0.0 11
YRSV2 UNKNOWN CMN 1955 -15.0 37.6 833
AAMC1 UNKNOWN TG 856 7.0 46.5 631
ANPT2 UNKNOWN TG 1357 -48.3 14.8 11
ASTO3 UNKNOWN TG 1153 60.4 48.5 335
BABT2 UNKNOWN TG 1463 -31.1 19.0 24
BMTW1 UNKNOWN TG 581 -165.1 48.3 879
BUFN6 UNKNOWN TG 1351 -45.1 36.6 136
CHAO3 UNKNOWN TG 1106 -5.4 43.0 382
FRWL1 UNKNOWN TG 1368 -32.7 22.9 119
FTPC1 UNKNOWN TG 1187 -60.0 44.6 300
ILOH1 UNKNOWN TG 1029 -64.9 52.7 459
JNEA2 UNKNOWN TG 915 -14.9 52.0 573
KECA2 UNKNOWN TG 1071 -24.0 43.5 414
KWHH1 UNKNOWN TG 813 11.7 52.9 675
LNDC1 UNKNOWN TG 760 2.0 50.6 728
NCHT2 UNKNOWN TG 1388 37.3 25.5 96
NMTA2 UNKNOWN TG 808 94.8 56.7 679
NSTP6 UNKNOWN TG 969 5.2 46.2 513
NTBC1 UNKNOWN TG 913 -15.8 51.5 575
OKXC1 UNKNOWN TG 851 16.5 50.7 637
OLSA2 UNKNOWN TG 1331 -32.5 33.1 60
OMHC1 UNKNOWN TG 867 0.5 50.9 621
PLXA2 UNKNOWN TG 152 171.8 47.8 109
PRHH1 UNKNOWN TG 1129 -41.2 36.6 359
PTAW1 UNKNOWN TG 1010 6.8 44.3 478
PXOC1 UNKNOWN TG 898 5.6 52.7 590
RTAT2 UNKNOWN TG 1475 -44.7 15.4 13
RTYC1 UNKNOWN TG 746 168.7 53.3 742
SDRT2 UNKNOWN TG 1219 -32.3 21.6 25
TCMW1 UNKNOWN TG 1048 3.4 49.1 439
UNLA2 UNKNOWN TG 1066 -3.4 28.1 422
VDZA2 UNKNOWN TG 1354 35.3 36.8 99
41043 FB 4464 -91.2 8.5 0
41046 FB 4159 94.7 6.0 5
44073 FB 102 81.0 41.4 68
45186 FB 756 -51.4 32.7 225
45187 FB 653 -74.1 34.4 245
46022 FB 2809 7.9 43.8 1654
46025 FB 3906 -44.0 41.4 556
46027 FB 2757 -2.9 50.4 1707
46060 FB 3286 1.2 43.8 1178
46077 FB 4028 -40.1 40.1 436
46081 FB 3883 -37.9 39.8 581
46088 FB 3141 2.5 48.9 1322
46092 FB 462 -76.8 53.1 232
46125 FB 1883 7.5 43.8 855
46146 FB 474 -78.7 49.6 268
46185 FB 706 -34.1 27.2 33
46304 FB 365 -78.4 43.0 173
63102 FB 744 83.9 0.7 0
15009 DB 199 -99.3 19.7 4
23014 DB 261 44.8 19.1 5
23491 DB 500 -70.1 47.4 181
23497 DB 63 -80.3 38.4 26
MARCH 2026
WIND SPEED FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
5UEVFZQ UNKNOWN SHP 39 7.0 3.3 0
9HYO7 RAAHI SHP 7 0.3 2.0 48
9V7661 EVER MAGIC SHP 67 4.6 5.1 24
9V8048 UNKNOWN SHP 26 5.0 2.0 0
AMOHK02 UNKNOWN SHP 0 0.0 0.0 254
C6CX3 NORWEGIAN JOY SHP 238 5.2 3.8 2
C6FT7 NORWEGIAN DAWN SHP 47 5.5 4.2 0
MERFR00 UNKNOWN SHP 35 5.7 4.3 0
SAJJBQR UNKNOWN SHP 106 5.3 2.9 1
BLIA2 UNKNOWN CMN 1483 6.0 3.5 0
CSPA2 UNKNOWN CMN 726 -5.8 2.4 4
ERXA2 UNKNOWN CMN 4287 6.4 3.6 0
FFIA2 UNKNOWN CMN 743 5.1 3.4 0
LIXA2 UNKNOWN CMN 2318 5.6 3.9 0
POTA2 UNKNOWN CMN 1477 6.9 4.5 10
RIXA2 UNKNOWN CMN 3902 7.2 5.1 457
CHSV3 UNKNOWN TG 1486 -5.7 2.4 0
44073 FB 0 0.0 0.0 76
MARCH 2026
SEA SURFACE TEMP. FOR ALL HOURS
PLATFORM SHIP/PLAT. NAME TYPE NO. REPORTS MEAN DIFF SD DIFF # GROSS ERR
3EFK6 MSC MUSICA SHP 95 -5.5 1.9 0
3EJF3 MSC ORCHESTRA SHP 79 -4.4 2.3 0
3ERG5 EVER FINE SHP 45 -8.9 2.1 2
3FUY2 UNKNOWN SHP 20 6.7 1.3 0
4GF9XEL UNKNOWN SHP 6 -6.9 7.2 26
9FH9R4Q UNKNOWN SHP 59 4.0 1.4 0
9HJF9 CELEBRITY MILLENNIUM SHP 77 5.1 2.7 0
C6CX3 NORWEGIAN JOY SHP 235 4.3 0.8 1
C6HT4 NORWEGIAN AQUA SHP 28 -5.0 2.3 0
C6PZ8 NORWEGIAN SKY SHP 79 4.4 3.1 0
LAHV UNKNOWN SHP 114 4.1 3.7 9
LAMP5 STAR ISTIND SHP 217 6.6 2.6 0
ONLU MINERAL DEUTSCHLAND SHP 70 -5.1 1.7 0
UCKZ UNKNOWN SHP 73 4.9 4.5 12
WDC6055 STEWART J. CORT SHP 20 5.3 3.4 2
WDH8351 DIRK S. VANENKEVORT SHP 23 2.8 6.1 3
WTEP NOAA OSCAR DYSON (AWS) SHP 866 4.5 3.2 12
ZGOR6 ONE TRITON SHP 35 4.7 0.8 0
ELFA2 UNKNOWN CMN 5770 8.7 3.1 564
NWCL1 UNKNOWN CMN 5575 -0.7 6.5 53
ALIA2 UNKNOWN TG 1488 4.0 3.3 0
BKTL1 UNKNOWN TG 1387 3.9 6.1 100
CARL1 UNKNOWN TG 1199 -4.7 5.2 288
CHCM2 UNKNOWN TG 1433 0.1 6.2 43
DTLM4 UNKNOWN TG 1250 4.0 4.2 168
EINL1 UNKNOWN TG 309 -4.5 2.6 0
FAIO1 UNKNOWN TG 1488 5.3 2.9 0
JNEA2 UNKNOWN TG 1488 5.2 2.6 0
LCLL1 UNKNOWN TG 1464 0.6 6.5 24
LTRM4 UNKNOWN TG 468 8.2 2.6 125
NCDV2 UNKNOWN TG 1407 -1.1 6.2 80
NWCL1 UNKNOWN TG 1276 -0.5 6.7 10
ORIN7 UNKNOWN TG 275 6.7 3.2 0
PEGF1 UNKNOWN TG 1486 6.4 2.3 0
PILL1 UNKNOWN TG 1488 -8.0 1.3 0
PMOA2 UNKNOWN TG 1392 8.1 4.4 96
PSTL1 UNKNOWN TG 1483 -6.4 0.9 0
RDDA2 UNKNOWN TG 334 10.1 3.2 1139
TCBM2 UNKNOWN TG 1406 -0.9 6.2 74
TESL1 UNKNOWN TG 1444 -4.5 5.3 43
THRO1 UNKNOWN TG 1468 1.4 6.3 0
VDZA2 UNKNOWN TG 581 10.6 2.9 872
WAHV2 UNKNOWN TG 1481 5.0 2.6 0
WASD2 UNKNOWN TG 1187 -0.1 6.4 7
YATA2 UNKNOWN TG 1488 7.7 2.8 0
45186 FB 1109 -4.1 4.2 36
45187 FB 1051 -4.4 4.4 32
46060 FB 4395 5.6 2.7 0
46081 FB 2526 9.0 3.3 1794
46145 FB 739 4.3 2.5 0
46146 FB 742 4.1 2.9 0
46181 FB 359 7.8 3.1 14
46253 FB 1483 -4.2 2.5 0
46256 FB 1488 -5.0 3.0 0
46266 FB 1480 -2.6 6.3 5
46274 FB 1459 -2.7 6.7 22
46304 FB 538 4.1 2.1 0
TOTAL NUMBER OF OBSERVATIONS FOR MARCH 2026 (EXCLUDING DUPLICATES
AND THOSE FROM CALLSIGN 'SHIP') WAS 1885877. TOTAL NUMBER OF
OBSERVATIONS FROM CALLSIGN 'SHIP' (EXCLUDING DUPLICATES) WAS 133.
TOTAL NUMBER OF IDS WAS 2465.
