Dataset Overview | National Centers for Environmental Information (NCEI)

Sea surface temperature (SST) and surface current data collected from the Mar Mostro during the around-the-world Volvo Ocean Race (VOR) from 2011-11-05 to 2012-07-12 (NCEI Accession 0130694)

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Navigation, surface current, sea surface temperature, wind, and atmospheric pressure data collected by the Mar Mostro during the around-the-world Volvo Ocean Race (VOR) 2011-2012 (http://www.volvooceanrace.com/en/home.html). The Mar Mostro is a 21.5m sail-powered racing yacht that was manned by the Puma Ocean Racing team (sponsored by the PUMA sports apparel company) and powered by Berg Propulsion of Sweden.

Data were provided to the Center for Ocean-Atmospheric Prediction Studies at the Florida State University by Robert Hopkins, Jr. who served as the performance analyst and coach for the Mar Mostro during the 2011-2012 VOR. Co-author for the data was Tom Addis, Navigator and crew member for the team.

Dataset Citation

Cite as: Hopkins, Robert; Addis, Tom; Puma Ocean Racing Team (2015). Sea surface temperature (SST) and surface current data collected from the Mar Mostro during the around-the-world Volvo Ocean Race (VOR) from 2011-11-05 to 2012-07-12 (NCEI Accession 0130694). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://www.ncei.noaa.gov/archive/accession/0130694. Accessed [date].

Dataset Identifiers

ISO 19115-2 Metadata

gov.noaa.nodc:0130694

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Distribution Formats	XLSX
Ordering Instructions	Contact NCEI for other distribution options and instructions.
Distributor	NOAA National Centers for Environmental Information +1-301-713-3277 ncei.info@noaa.gov
Dataset Point of Contact	NOAA National Centers for Environmental Information ncei.info@noaa.gov

Time Period	2011-11-05 to 2012-07-12
Spatial Bounding Box Coordinates	West: -180 East: 180 South: -58.8602 North: 58.0264
Spatial Coverage Map

General Documentation

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Descriptive Information
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Publication Dates	publication: 2015-08-14
Data Presentation Form	Digital table - digital representation of facts or figures systematically displayed, especially in columns
Dataset Progress Status	Complete - production of the data has been completed Historical archive - data has been stored in an offline storage facility
Data Update Frequency	As needed
Purpose	This dataset is available to the public for a wide variety of uses including scientific research and analysis.
Use Limitations	accessLevel: Public Distribution liability: NOAA and NCEI make no warranty, expressed or implied, regarding these data, nor does the fact of distribution constitute such a warranty. NOAA and NCEI cannot assume liability for any damages caused by any errors or omissions in these data. If appropriate, NCEI can only certify that the data it distributes are an authentic copy of the records that were accepted for inclusion in the NCEI archives.

Dataset Citation	Cite as: Hopkins, Robert; Addis, Tom; Puma Ocean Racing Team (2015). Sea surface temperature (SST) and surface current data collected from the Mar Mostro during the around-the-world Volvo Ocean Race (VOR) from 2011-11-05 to 2012-07-12 (NCEI Accession 0130694). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://www.ncei.noaa.gov/archive/accession/0130694. Accessed [date].
Cited Authors	Hopkins, Robert Puma Ocean Racing Team Addis, Tom Puma Ocean Racing Team Puma Ocean Racing Team
Principal Investigators	Robert Hopkins, Jr KVH Industries, Inc
Collaborators	Tom Addis Puma Ocean Racing Team
Resource Providers	Shawn R. Smith Florida State University; Center for Ocean-Atmospheric Prediction Studies (COAPS) Florida State University; Center for Ocean-Atmospheric Prediction Studies (COAPS)
Points of Contact	Shawn R. Smith Florida State University; Center for Ocean-Atmospheric Prediction Studies (COAPS)
Publishers	NOAA National Centers for Environmental Information

Theme keywords	NODC DATA TYPES THESAURUS BAROMETRIC PRESSURE CURRENT DIRECTION CURRENT SPEED LATITUDE LONGITUDE SEA SURFACE TEMPERATURE WIND DIRECTION WIND SPEED NODC OBSERVATION TYPES THESAURUS current measurements - surface currents in situ meteorological physical surface underway WMO_CategoryCode oceanography Global Change Master Directory (GCMD) Science Keywords EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC PRESSURE EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WINDS > SURFACE WINDS > WIND DIRECTION EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WINDS > SURFACE WINDS > WIND SPEED EARTH SCIENCE > OCEANS > OCEAN CIRCULATION > OCEAN CURRENTS EARTH SCIENCE > OCEANS > OCEAN TEMPERATURE > SEA SURFACE TEMPERATURE Provider Keywords Boat speed course through the water wind direction (true) wind speed (true)
Data Center keywords	NODC SUBMITTING INSTITUTION NAMES THESAURUS Florida State University; Center for Ocean-Atmospheric Prediction Studies Global Change Master Directory (GCMD) Data Center Keywords DOC/NOAA/NESDIS/NODC > National Oceanographic Data Center, NESDIS, NOAA, U.S. Department of Commerce FSU/COAPS > Center for Ocean-Atmospheric Prediction Studies, Florida State University
Platform keywords	NODC PLATFORM NAMES THESAURUS SY Mar Mostro (Monster of the Sea, PUMA VO70) Global Change Master Directory (GCMD) Platform Keywords Ships ICES/SeaDataNet Ship Codes Mar Mostro (call sign: 9HB2187, ICES code: MLH9)
Instrument keywords	NODC INSTRUMENT TYPES THESAURUS barometer GPS temperature sensor Global Change Master Directory (GCMD) Instrument Keywords BAROMETERS > BAROMETERS GPS RECEIVERS > GPS RECEIVERS TEMPERATURE SENSORS > TEMPERATURE SENSORS Provider Instruments AirMar DT800 Nortek Doppler velocity logger Nortek Doppler velocity logger + Ixsea Hydrins IMU Unknown
Place keywords	NODC SEA AREA NAMES THESAURUS Indian Ocean North Atlantic Ocean Northwest Pacific Ocean (limit-180) Persian Gulf (Gulf of Iran), Strait of Hormuz South Atlantic Ocean South Pacific Ocean Southwest Pacific Ocean (limit-147 E to 140 W) Global Change Master Directory (GCMD) Location Keywords OCEAN > ATLANTIC OCEAN > NORTH ATLANTIC OCEAN OCEAN > ATLANTIC OCEAN > SOUTH ATLANTIC OCEAN OCEAN > INDIAN OCEAN OCEAN > INDIAN OCEAN > ARABIAN SEA > PERSIAN GULF OCEAN > PACIFIC OCEAN > NORTH PACIFIC OCEAN OCEAN > PACIFIC OCEAN > SOUTH PACIFIC OCEAN
Project keywords	Provider Project Names Volvo Ocean Race
Keywords	NCEI ACCESSION NUMBER 0130694
Keywords	Send2NCEI Submission Package ID KPLKGB

Use Constraints	Cite as: Hopkins, Robert; Addis, Tom; Puma Ocean Racing Team (2015). Sea surface temperature (SST) and surface current data collected from the Mar Mostro during the around-the-world Volvo Ocean Race (VOR) from 2011-11-05 to 2012-07-12 (NCEI Accession 0130694). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://www.ncei.noaa.gov/archive/accession/0130694. Accessed [date].
Access Constraints	Use liability: NOAA and NCEI cannot provide any warranty as to the accuracy, reliability, or completeness of furnished data. Users assume responsibility to determine the usability of these data. The user is responsible for the results of any application of this data for other than its intended purpose.
Fees	In most cases, electronic downloads of the data are free. However, fees may apply for custom orders, data certifications, copies of analog materials, and data distribution on physical media.

Lineage information for: dataset
Processing Steps	2015-08-14T13:59:52Z - NCEI Accession 0130694 v1.1 was published.
Output Datasets	NCEI Accession 0130694 v1.1 NCEI Accession 0130694 v1.1 (download) published 2015-08-14T13:59:52Z

Lineage information for: dataset
Processing Steps	Data Type: LATITUDE (measured); Units: degrees N; Observation Type: in situ; Sampling Instrument: GPS; Sampling and Analyzing Method: Raw data selected from two GPS sensors sampling at 10 Hz and 5 Hz respectively Data Type: LONGITUDE (measured); Units: degrees E; Observation Type: in situ; Sampling Instrument: GPS; Sampling and Analyzing Method: Raw data selected from two GPS sensors sampling at 10 Hz and 5 Hz respectively Data Type: Boat speed (measured); Units: knot; Observation Type: in situ; Sampling Instrument: Nortek Doppler velocity logger; Sampling and Analyzing Method: The longitudinal velocity from the logger is used as boatspeed. the Nortek internal sampling frequency is 17 Hz, but that is downsample averaged to 4 Hz before we run the transforms on the raw beam velocities. Mind you, these frequencies are MUCH higher than any meaningful speed or leeway changes in the 14.5 tonne boat. The transformed boatspeed value is damped to 5 – 8 sec decaying filter depending on sea state (more damping in rougher seas, user adjustable on board) Data Type: wind speed (true) (measured); Units: knot; Observation Type: in situ; Sampling Instrument: Unknown; Sampling and Analyzing Method: Measured at the mast head at 30 m elevation Data Type: wind direction (true) (measured); Units: degrees true, from which wind blows; Observation Type: in situ; Sampling Instrument: Unknown; Sampling and Analyzing Method: Measured at the mast head at 30 m elevation Data Type: course through the water (calculated); Units: degrees true; Observation Type: in situ; Sampling Instrument: Nortek Doppler velocity logger + Ixsea Hydrins IMU; Sampling and Analyzing Method: Value is the sum of the heading + leeway. The atn(Vy/Vx) from the logger provides the leeway angle in degrees, which is added to the boat's heading to arrive at course through the water. Heading is provided by an Ixsea Hydrins IMU Data Type: speed over ground (measured); Units: knot; Observation Type: in situ; Sampling Instrument: GPS; Sampling and Analyzing Method: The Mar Mostro has two GPS’s sampling at 10 Hz and 5 Hz. We started with the fancy 10 Hz model and ended with the 5 Hz model for reliability reasons. The SOG values are output at only 1 sec intervals. In any case, the GPS output of SOG is damped inside the unit before the crew see the values, then additional damping is applied simply to calm down the displayed values to something reasonable Data Type: course over ground (measured); Units: degrees T; Observation Type: in situ; Sampling Instrument: GPS; Sampling and Analyzing Method: The Mar Mostro has two GPS’s sampling at 10 Hz and 5 Hz. We started with the fancy 10 Hz model and ended with the 5 Hz model for reliability reasons. The COG values are output at only 1 sec intervals. In any case, the GPS output of COG is damped inside the unit before the crew see the values, then additional damping is applied simply to calm down the displayed values to something reasonable Data Type: CURRENT DIRECTION (calculated); Units: degrees true, towards which water flows; Observation Type: in situ; Sampling Instrument: Nortek Doppler velocity logger; Sampling and Analyzing Method: Vector difference of through water and over ground directions. The Nortek internal sampling frequency is 17 Hz, but that is downsample averaged to 4 Hz before we run the transforms on the raw beam velocities. Mind you, these frequencies are MUCH higher than any meaningful speed or leeway changes in the 14.5 tonne boat. The transformed boatspeed value is damped to 5 – 8 sec decaying filter depending on sea state (more damping in rougher seas, user adjustable on board) and 8 sec for leeway. Now, that merely describes the filtering on the input vectors. They are differed, and then the output vector of current rate/dir is boxcar averaged to 60 – 120 sec. An average of less than 1 minute is too jumpy. An average of greater than 2 minutes is too sluggish. In coastal racing where there are more abrupt current lines, we use 1 min, else 1 - 2 min for the open ocean. The current rate and direction columns in the data set are calculated and logged onboard as described above Data Type: CURRENT SPEED (calculated); Units: knot; Observation Type: in situ; Sampling Instrument: Nortek Doppler velocity logger; Sampling and Analyzing Method: Vector difference of through water speed and speed over ground. The Nortek internal sampling frequency is 17 Hz, but that is downsample averaged to 4 Hz before we run the transforms on the raw beam velocities. Mind you, these frequencies are MUCH higher than any meaningful speed or leeway changes in the 14.5 tonne boat. The transformed boatspeed value is damped to 5 – 8 sec decaying filter depending on sea state (more damping in rougher seas, user adjustable on board) and 8 sec for leeway. Now, that merely describes the filtering on the input vectors. They are differed, and then the output vector of current rate/dir is boxcar averaged to 60 – 120 sec. An average of less than 1 minute is too jumpy. An average of greater than 2 minutes is too sluggish. In coastal racing where there are more abrupt current lines, we use 1 min, else 1 - 2 min for the open ocean. The current rate and direction columns in the data set are calculated and logged onboard as described above Data Type: SEA SURFACE TEMPERATURE (measured); Units: degrees C; Observation Type: in situ; Sampling Instrument: AirMar DT800; Sampling and Analyzing Method: SST is from the AirMar DT800 (depth sounder with temperature sensor) mounted thru-hull on centerline. Robert describes the sensor as being mounted "at about 75 cm below the water plane," and in a later discussion describes it as being mounted "at about 0.5m depth." The reported SST is raw, no correction, and represents the water temperature at the depth sounder head 75 cm below the surface, but the water that passes that sensor is probably from a higher level due to the way that water is entrained under the forefoot of the hull. The sampling rate is 1 Hz.; Data Quality Information: The accuracy is unknown, other than to say that the manufacturers of sonic devices are careful with their temperature readings, since they impinge directly on depth or speed. The AirMar sensor is specified to an accuracy of +/-0.5C, with a resolution of 0.1C Data Type: PRESSURE - BAROMETRIC [BAROMETRIC PRESSURE] (measured); Units: hectopascal; Observation Type: in situ; Sampling Instrument: Unknown

Lineage information for: dataset

Processing Steps

Data Type: LATITUDE (measured); Units: degrees N; Observation Type: in situ; Sampling Instrument: GPS; Sampling and Analyzing Method: Raw data selected from two GPS sensors sampling at 10 Hz and 5 Hz respectively
Data Type: LONGITUDE (measured); Units: degrees E; Observation Type: in situ; Sampling Instrument: GPS; Sampling and Analyzing Method: Raw data selected from two GPS sensors sampling at 10 Hz and 5 Hz respectively
Data Type: Boat speed (measured); Units: knot; Observation Type: in situ; Sampling Instrument: Nortek Doppler velocity logger; Sampling and Analyzing Method: The longitudinal velocity from the logger is used as boatspeed. the Nortek internal sampling frequency is 17 Hz, but that is downsample averaged to 4 Hz before we run the transforms on the raw beam velocities. Mind you, these frequencies are MUCH higher than any meaningful speed or leeway changes in the 14.5 tonne boat. The transformed boatspeed value is damped to 5 – 8 sec decaying filter depending on sea state (more damping in rougher seas, user adjustable on board)
Data Type: wind speed (true) (measured); Units: knot; Observation Type: in situ; Sampling Instrument: Unknown; Sampling and Analyzing Method: Measured at the mast head at 30 m elevation
Data Type: wind direction (true) (measured); Units: degrees true, from which wind blows; Observation Type: in situ; Sampling Instrument: Unknown; Sampling and Analyzing Method: Measured at the mast head at 30 m elevation
Data Type: course through the water (calculated); Units: degrees true; Observation Type: in situ; Sampling Instrument: Nortek Doppler velocity logger + Ixsea Hydrins IMU; Sampling and Analyzing Method: Value is the sum of the heading + leeway. The atn(Vy/Vx) from the logger provides the leeway angle in degrees, which is added to the boat's heading to arrive at course through the water. Heading is provided by an Ixsea Hydrins IMU
Data Type: speed over ground (measured); Units: knot; Observation Type: in situ; Sampling Instrument: GPS; Sampling and Analyzing Method: The Mar Mostro has two GPS’s sampling at 10 Hz and 5 Hz. We started with the fancy 10 Hz model and ended with the 5 Hz model for reliability reasons. The SOG values are output at only 1 sec intervals. In any case, the GPS output of SOG is damped inside the unit before the crew see the values, then additional damping is applied simply to calm down the displayed values to something reasonable
Data Type: course over ground (measured); Units: degrees T; Observation Type: in situ; Sampling Instrument: GPS; Sampling and Analyzing Method: The Mar Mostro has two GPS’s sampling at 10 Hz and 5 Hz. We started with the fancy 10 Hz model and ended with the 5 Hz model for reliability reasons. The COG values are output at only 1 sec intervals. In any case, the GPS output of COG is damped inside the unit before the crew see the values, then additional damping is applied simply to calm down the displayed values to something reasonable
Data Type: CURRENT DIRECTION (calculated); Units: degrees true, towards which water flows; Observation Type: in situ; Sampling Instrument: Nortek Doppler velocity logger; Sampling and Analyzing Method: Vector difference of through water and over ground directions. The Nortek internal sampling frequency is 17 Hz, but that is downsample averaged to 4 Hz before we run the transforms on the raw beam velocities. Mind you, these frequencies are MUCH higher than any meaningful speed or leeway changes in the 14.5 tonne boat. The transformed boatspeed value is damped to 5 – 8 sec decaying filter depending on sea state (more damping in rougher seas, user adjustable on board) and 8 sec for leeway. Now, that merely describes the filtering on the input vectors. They are differed, and then the output vector of current rate/dir is boxcar averaged to 60 – 120 sec. An average of less than 1 minute is too jumpy. An average of greater than 2 minutes is too sluggish. In coastal racing where there are more abrupt current lines, we use 1 min, else 1 - 2 min for the open ocean. The current rate and direction columns in the data set are calculated and logged onboard as described above
Data Type: CURRENT SPEED (calculated); Units: knot; Observation Type: in situ; Sampling Instrument: Nortek Doppler velocity logger; Sampling and Analyzing Method: Vector difference of through water speed and speed over ground. The Nortek internal sampling frequency is 17 Hz, but that is downsample averaged to 4 Hz before we run the transforms on the raw beam velocities. Mind you, these frequencies are MUCH higher than any meaningful speed or leeway changes in the 14.5 tonne boat. The transformed boatspeed value is damped to 5 – 8 sec decaying filter depending on sea state (more damping in rougher seas, user adjustable on board) and 8 sec for leeway. Now, that merely describes the filtering on the input vectors. They are differed, and then the output vector of current rate/dir is boxcar averaged to 60 – 120 sec. An average of less than 1 minute is too jumpy. An average of greater than 2 minutes is too sluggish. In coastal racing where there are more abrupt current lines, we use 1 min, else 1 - 2 min for the open ocean. The current rate and direction columns in the data set are calculated and logged onboard as described above
Data Type: SEA SURFACE TEMPERATURE (measured); Units: degrees C; Observation Type: in situ; Sampling Instrument: AirMar DT800; Sampling and Analyzing Method: SST is from the AirMar DT800 (depth sounder with temperature sensor) mounted thru-hull on centerline. Robert describes the sensor as being mounted "at about 75 cm below the water plane," and in a later discussion describes it as being mounted "at about 0.5m depth." The reported SST is raw, no correction, and represents the water temperature at the depth sounder head 75 cm below the surface, but the water that passes that sensor is probably from a higher level due to the way that water is entrained under the forefoot of the hull. The sampling rate is 1 Hz.; Data Quality Information: The accuracy is unknown, other than to say that the manufacturers of sonic devices are careful with their temperature readings, since they impinge directly on depth or speed. The AirMar sensor is specified to an accuracy of +/-0.5C, with a resolution of 0.1C
Data Type: PRESSURE - BAROMETRIC [BAROMETRIC PRESSURE] (measured); Units: hectopascal; Observation Type: in situ; Sampling Instrument: Unknown

Lineage information for: repository
Processing Steps	2015-04-22T00:00:00 - NOAA created the National Centers for Environmental Information (NCEI) by merging NOAA's National Climatic Data Center (NCDC), National Geophysical Data Center (NGDC), and National Oceanographic Data Center (NODC), including the National Coastal Data Development Center (NCDDC), per the Consolidated and Further Continuing Appropriations Act, 2015, Public Law 113-235. NCEI launched publicly on April 22, 2015.

Lineage information for: repository

Processing Steps

2015-04-22T00:00:00 - NOAA created the National Centers for Environmental Information (NCEI) by merging NOAA's National Climatic Data Center (NCDC), National Geophysical Data Center (NGDC), and National Oceanographic Data Center (NODC), including the National Coastal Data Development Center (NCDDC), per the Consolidated and Further Continuing Appropriations Act, 2015, Public Law 113-235. NCEI launched publicly on April 22, 2015.

Acquisition Information (collection)
Instrument	barometer GPS temperature sensor
Platform	SY Mar Mostro (Monster of the Sea, PUMA VO70)

Last Modified: 2025-04-03T21:53:31Z
For questions about the information on this page, please email: ncei.info@noaa.gov

Sea surface temperature (SST) and surface current data collected from the Mar Mostro during the around-the-world Volvo Ocean Race (VOR) from 2011-11-05 to 2012-07-12 (NCEI Accession 0130694)

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