Niskin bottle water samples and CTD measurements from the Hawaii Ocean Time-Series cruises from 1988-2021 (HOT project)

Website: https://www.bco-dmo.org/dataset/3773
Data Type: Cruise Results
Version: 2
Version Date: 2021-04-19

Project
» [Current] Hawaii Ocean Time-series (HOT): 2023-2028; [Previous] Hawaii Ocean Time-series (HOT): Sustaining ocean ecosystem and climate observations in the North Pacific Subtropical Gyre (HOT)

Programs
» Ocean Carbon and Biogeochemistry (OCB)
» U.S. Joint Global Ocean Flux Study (U.S. JGOFS)
» Ocean Time-series Sites (Ocean Time-series)
ContributorsAffiliationRole
White, Angelicque E.University of Hawaiʻi at Mānoa (SOEST)Principal Investigator
Karl, David M.Co-Principal Investigator
Fujieki, Lance AUniversity of Hawaiʻi at Mānoa (SOEST)Contact, Data Manager
Gerlach, Dana StuartWoods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager

Abstract
Monthly measurements of the thermohaline structure, water column chemistry, and primary production were collected at station ALOHA as part of the Hawaii Ocean Time-series (HOT) program.


Coverage

Spatial Extent: N:23.4375 E:-157.4567 S:21.2283 W:-158.8575
Temporal Extent: 1988-10-30 - 2019-12-20

Dataset Description

Monthly measurements of the thermohaline structure, water column chemistry, and primary production were collected at station ALOHA as part of the HOT program.


Methods & Sampling

Biogeochemistry
Sampling at Station ALOHA typically begins with sediment trap deployment followed by a deep (> 4700 m) CTD cast and a "burst series" of at least 13 consecutive 1000 m casts, on 3 hour intervals, to span the local inertial period (~ 31 hours) and three semidiurnal tidal cycles. The repeated CTD casts enable us to calculate an average density profile from which variability on tidal and near-inertial time scales has been removed. These average density profiles are useful for the comparison of dynamic height and for the comparison of the depth distribution of chemical parameters from different casts and at monthly intervals. This sampling strategy is designed to assess variability on time scales of a few hours to a few years. Very high frequency variability (< 6 hours) and variability on time scales of between 3-60 days are not adequately sampled with our ship-based operations.

Water samples for a variety of chemical and biological measurements are routinely collected from the surface to within 10 m of the seafloor. To the extent possible, we collect samples for complementary biogeochemical measurements from the same or from contiguous casts to minimize aliasing caused by time-dependent changes in the density field. This approach is especially important for samples collected in the upper 350 m of the water column. Furthermore, we attempt to sample from common depths and specific density horizons each month to facilitate comparisons between cruises. Water samples for salinity determinations are collected from every water bottle to identify sampling errors. Approximately 20% of the water samples are collected and analyzed in duplicate or triplicate to assess and track our precision in sample analyses.

Water samples for chemical analyses were collected from discrete depths using 12 liter PVC bottles with nylon coated internal springs as closing mechanisms. Sampling strategies and procedures are well documented in the previous Data Reports and in the HOT Program Field and Laboratory Protocols manual 
*Data Reports: https://hahana.soest.hawaii.edu/hot/reports/reports.html
*HOT Program Field and Laboratory Protocols manual: https://hahana.soest.hawaii.edu/hot/methods/results.html

 


Data Processing Description

Please see HOT's "Water Column Chemical Data Format Document" for detailed description of original HOT data formatting, original parameter names and Quality Word definitions.

Quality Indicator Flags:
1 = not quality controlled
2 = good data
3 = suspect (i.e. questionable) data
4 = bad data
5 = missing data
9 = variable not measured during this cast


BCO-DMO Processing Description

BCO-DMO Processing Notes:
- transferred the data from the University of Hawaii ftp site to the BCO-DMO servers (v1, v2).
- combined all data files into csv and added columns for the information from the first header line (v2)
- added cruise summary information (v1, v2).
- merged new data with previous data (v2)
- created Filename field, which is the name of the summary file or original data file (v1, v2).
- added Latitude and Longitude values from cruise summary information and converted to decimal degrees
- combined separate dates and times to create a Sampling_Datetime field (v2)
- adjusted field/parameter names to comply with database requirements (v1, v2)
- updated the version date in the served data to the date the data was updated (v1, v2)
- added field for Vessel based on the EXPOCODE (v2)
- added field for HOT_ID based on EXPOCODE and filename (v2)


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Data Files

File
niskin_v2.csv
(Comma Separated Values (.csv), 40.89 MB)
MD5:6230663827b3624f5a0aef95963d6703
Primary data file for dataset ID 3773

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Related Datasets

IsSourceOf
Lange, N., Fiedler, B., Álvarez, M., Benoit-Cattin, A., Benway, H., Buttigieg, P. L., Coppola, L., Currie, K. I., Flecha, S., Gerlach, D. S., Honda, M. C., Huertas, E. I., Kinkade, D., Muller-Karger, F., Lauvset, S. K., Körtzinger, A., O'Brien, K. M., Ólafsdóttir, S., Pacheco, F. C., Rueda-Roa, D., Skjelvan, I., Wakita, M., White, A. E., Tanhua, T. (2024) Synthesis Product for Ocean Time Series (SPOTS). Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 2) Version Date 2024-02-22 doi:10.26008/1912/bco-dmo.896862.2 [view at BCO-DMO]

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Parameters

ParameterDescriptionUnits
Cruise

Cruise identifier

unitless
EXPOCODE

Expedition code: 4 character NODC country-ship code, followed by cruise number and leg.

unitless
WHPID

The WOCE Hydrographic Program (WHP) section identifier

unitless
STNNBR

Station number

unitless
CASTNO

Cast number

unitless
ISO_DateTime_UTC

Time in ISO-8601 format following the convention YYYY-mm-ddTHH:MM:SS[.xx]Z (UTC time)

unitless
Time_Code

Code for when the time was taken--at the beginning (BE); bottom (BO); or completion (EN) of the cast

unitless
Latitude

Latitude of sample collection (South is negative)

decimal degrees
Longitude

Longitude of sample collection (West is negative)

decimal degrees
Depth_max

Depth measured by shipboard echo sounder. The nominal depth for Station 1 = 1500m and for Station 2 = 4750m.

meters (m)
Height_max

Bottom depth less the maximum pressure sampled

meters (m)
Pressure_max

The deepest pressure sampled

decibars (db)
Parameters

A list of the parameters measured on water samples collected during the cast (1=Salinity, 2=Oxygen, 3=Silicate, 4=Nitrate, 5=Nitrite, 6=Phosphate)

unitless
ROSETTE_POS

Position of Niskin bottle in the CTD rosette sampler

unitless
CTDPRS

CTD Pressure

decibars (db)
CTDTMP

CTD Temperature on ITS-90 scale

degrees Celsius
CTDSAL

CTD Salinity on PSS-78 scale

unitless
CTDOXY

CTD Oxygen

micromole per kilogram (umol/kg)
THETA_ITS90

Potential Temperature on ITS-90 scale

degrees Celsius
SIGMA

Potential Density

kilogram per cubic meter (kg/m^3)
SALINITY

Bottle salinity on PSS-78 scale

unitless
OXYGEN

Bottle dissolved oxygen

micromole per kilogram (umol/kg)
DIC

Dissolved Inorganic Carbon

micromole per kilogram (umol/kg)
pH

pH (pre-1992 was NBS25 and 1993 onward is TOT25)

unitless
ALKALIN

Alkalinity

microequivalent per kilogram (ueq/kg)
pCO2

Partial pressure of carbon dioxide (pCO2)

microatmospheres (uatm)
PHSPHT

Phosphate

micromole per kilogram (umol/kg)
NO2_NO3

Nitrate + nitrite (NO2+NO3)

micromole per kilogram (umol/kg)
SILCAT

Silicate (SiO4)

micromole per kilogram (umol/kg)
DOP

Dissolved Organic Phosphorus

micromole per kilogram (umol/kg)
DON

Dissolved Organic Nitrogen

micromole per kilogram (umol/kg)
DOC

Dissolved Organic Carbon

micromole per kilogram (umol/kg)
TDP

Total Dissolved Phosphorus

micromole per kilogram (umol/kg)
TDN

Total Dissolved Nitrogen (TDN)

micromole per kilogram (umol/kg)
PC

Particulate Carbon

micromole per kilogram (umol/kg)
PN

Particulate Nitrogen

micromole per kilogram (umol/kg)
PP

Particulate Phosphorus

nanomole per kilogram (nmol/kg)
LLN

Low-level Nitrogen

nanomole per kilogram (nmol/kg)
LLP

Low-level Phosphorus

nanomole per kilogram (nmol/kg)
LLSi

Low-level Silica

micromole per kilogram (umol/kg)
CHL_A

Fluorometric Chlorophyll a

microgram per liter (ug/L)
PHEO

Pheopigments

microgram per liter (ug/L)
CHL_C3

HPLC Chlorophyll c3

nanogram per liter (ng/L)
CHLC1_2

HPLC Chlorophyll [c1+c2] & Mg 3,8 DVP4A5

nanogram per liter (ng/L)
CHL_PLUS

HPLC Chlorophyll c1 + c2 + c3

nanogram per liter (ng/L)
PERID

HPLC Peridinin

nanogram per liter (ng/L)
BUT_19

HPLC 19'-Butanoyloxyfucoxanthin

nanogram per liter (ng/L)
FUCO

HPLC Fucoxanthin

nanogram per liter (ng/L)
HEX_19

HPLC 19'-Hexanoyloxyfucoxanthin

nanogram per liter (ng/L)
PRASINO

HPLC Prasinoxanthin

nanogram per liter (ng/L)
DIADINO

HPLC Diadinoxanthin

nanogram per liter (ng/L)
ZEAXAN

HPLC Zeaxanthin

nanogram per liter (ng/L)
CHL_B

HPLC Chlorophyll b

nanogram per liter (ng/L)
HPLC_chl

HPLC Chlorophyll a

nanogram per liter (ng/L)
CHL_C4

HPLC Chloropyll c4

nanogram per liter (ng/L)
A_CAR

HPLC Alpha Carotene

nanogram per liter (ng/L)
B_CAR

HPLC Beta Carotene

nanogram per liter (ng/L)
CAROTEN

HPLC Carotenes

nanogram per liter (ng/L)
CHLDA_A

HPLC Chlorophyllide a

nanogram per liter (ng/L)
VIOL

HPLC Violaxanthin

nanogram per liter (ng/L)
LUTEIN

HPLC Lutein

nanogram per liter (ng/L)
MV_CHLA

HPLC Monovinyl Chlorophyll a

nanogram per liter (ng/L)
DV_CHLA

HPLC Divinyl Chlorophyll a

nanogram per liter (ng/L)
H_BACT

Bacteria: Heterotrophic

10^5 per milliliter (10^5/mL)
P_BACT

Bacteria: Prochlorococcus

10^5 per milliliter (10^5/mL)
S_BACT

Bacteria: Synechococcus

10^5 per milliliter (10^5/mL)
E_BACT

Bacteria: Eukaryotes

10^5 per milliliter (10^5/mL)
ATP

Adenosine 5'-Triphosphate

nanogram per kilogram (ng/kg)
GTP

Guanosine 5'-Triphosphate

nanogram per kilogram (ng/kg)
H2O2

Hydrogen Peroxide

micromole per kilogram (umol/kg)
N2O

Nitrous Oxide

nanomole per kilogram (nmol/kg)
PSi

Particulate Silica

nanomole per kilogram (nmol/kg)
PIC

Particulate Inorganic Carbon

micromole per kilogram (umol/kg)
PE_pt4u

Phycoerythrin 0.4 micron fraction

nanogram per liter (ng/L)
PE_5u

Phycoerythrin 5 micron fraction

nanogram per liter (ng/L)
PE_10u

Phycoerythrin 10 micron fraction

nanogram per liter (ng/L)
P15N

delta-15N of particulate nitrogen vs. air-N

permil vs. air-N
P13C

delta-13C of particulate carbon vs. VPDB

permil vs. VPDB
TD700A

TD700 Chlorophyll a

microgram per liter (ug/L)
TD700B

TD700 Chlorophyll b

microgram per liter (ug/L)
TD700C

TD700 Chlorophyll c

microgram per liter (ug/L)
NO2

Nitrite

nanomole per kilogram (nmol/kg)
SPEC_SI

Spectrophotometric Silicate

micromole per kilogram (umol/kg)
QUALT1

Quality flags for CTDSAL to ALKALIN

unitless
QUALT2

Quality flags for pCO2 to DOC

unitless
QUALT3

Quality flags for TDP to LLP

unitless
QUALT4

Quality flags for LLSi to PERID

unitless
QUALT5

Quality flags for BUT_19 to CHL_B

unitless
QUALT6

Quality flags for HPLCchl to CHLDA_A

unitless
QUALT7

Quality flags for VIOL to P_BACT

unitless
QUALT8

Quality flags for S_BACT to N2O

unitless
QUALT9

Quality flags for PSi to P15N

unitless
QUAL10

Quality flags for P13C to SPEC_SI

unitless
Filename

Filename (cruise summary or original)

unitless
Number_bottles

Number of bottles used during the cast

unitless
Comments

Comments

units
Date

Date of the cast in MMDDYY

unitless
Time_UTC

Time in UTC

unitless
Cruise_Start_Date

Start date of cruise

unitless
Cruise_End_Date

End date of cruise

unitless


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Instruments

Dataset-specific Instrument Name
Generic Instrument Name
Autosal salinometer
Dataset-specific Description
Salinity samples are collected, stored and analyzed on an Autosal salinometer
Generic Instrument Description
The salinometer is an instrument for measuring the salinity of a water sample.

Dataset-specific Instrument Name
Bran Luebbe Autoanalyzer III
Generic Instrument Name
Bran Luebbe AA3 AutoAnalyzer
Dataset-specific Description
Samples for the determination of dissolved inorganic nutrient concentrations (soluble reactive phosphorus, [nitrate+nitrite], and silicate) are run using a six-channel Bran Luebbe Autoanalyzer III, from March 2000 onward.   
Generic Instrument Description
Bran Luebbe AA3 AutoAnalyzer See the description from the manufacturer.

Dataset-specific Instrument Name
Exeter Analytical CE-440 CHN Elemental Analyzer
Generic Instrument Name
CHN Elemental Analyzer
Dataset-specific Description
Samples for elemental analyses of Particulate Carbon (PC) and Nitrogen (PN) were analyzed using an Exeter Analytical CE-440 CHN Elemental Analyzer
Generic Instrument Description
A CHN Elemental Analyzer is used for the determination of carbon, hydrogen, and nitrogen content in organic and other types of materials, including solids, liquids, volatile, and viscous samples.

Dataset-specific Instrument Name
CTD Sea-Bird 911
Generic Instrument Name
CTD Sea-Bird 911
Generic Instrument Description
The Sea-Bird SBE 911 is a type of CTD instrument package. The SBE 911 includes the SBE 9 Underwater Unit and the SBE 11 Deck Unit (for real-time readout using conductive wire) for deployment from a vessel. The combination of the SBE 9 and SBE 11 is called a SBE 911. The SBE 9 uses Sea-Bird's standard modular temperature and conductivity sensors (SBE 3 and SBE 4). The SBE 9 CTD can be configured with auxiliary sensors to measure other parameters including dissolved oxygen, pH, turbidity, fluorescence, light (PAR), light transmission, etc.). More information from Sea-Bird Electronics.

Dataset-specific Instrument Name
HPLC
Generic Instrument Name
High-Performance Liquid Chromatograph
Dataset-specific Description
Chlorophyll a and photosynthetic accessory pigments were measured by high performance liquid chromatography (HPLC) according to Wright et al. (1991).
Generic Instrument Description
A High-performance liquid chromatograph (HPLC) is a type of liquid chromatography used to separate compounds that are dissolved in solution. HPLC instruments consist of a reservoir of the mobile phase, a pump, an injector, a separation column, and a detector. Compounds are separated by high pressure pumping of the sample mixture onto a column packed with microspheres coated with the stationary phase. The different components in the mixture pass through the column at different rates due to differences in their partitioning behavior between the mobile liquid phase and the stationary phase.

Dataset-specific Instrument Name
Satlantic ISUS V3 (#097)
Generic Instrument Name
ISUS Nitrate sensor
Dataset-specific Description
Real-time nitrate concentrations were measured with a Satlantic ISUS V3 (#097). The ISUS is a chemical-free, solid-state sensor that uses ultraviolet absorption spectroscopy to measure continuous nitrate concentrations.
Generic Instrument Description
The Satlantic ISUS nitrate sensor is an in-situ UV absorption sensor which calculates nitrate concentration from the seawater spectrum. The ISUS V2 has a 1cm path length, a 200-400 nm wavelength range., and is depth rated to 1000 m. Satlantic's ISUS V3 nitrate sensor uses advanced UV absorption technology to measure nitrate concentration in real-time.

Dataset-specific Instrument Name
Niskin bottle
Generic Instrument Name
Niskin bottle
Generic Instrument Description
A Niskin bottle (a next generation water sampler based on the Nansen bottle) is a cylindrical, non-metallic water collection device with stoppers at both ends. The bottles can be attached individually on a hydrowire or deployed in 12, 24, or 36 bottle Rosette systems mounted on a frame and combined with a CTD. Niskin bottles are used to collect discrete water samples for a range of measurements including pigments, nutrients, plankton, etc.

Dataset-specific Instrument Name
Turner Luminometer
Generic Instrument Name
Photometer
Dataset-specific Description
ATP concentrations were measured on a Turner Luminometer using the firefly bioluminescence technique described by Karl and Holm-Hansen (1978).
Generic Instrument Description
An instrument that measures the light intensity emitted from a sample. [Definition Source: NCI] Photometers are used to measure iIlluminance, irradiance, light absorption, scattering of light, reflection of light, fluorescence, phosphorescence, and luminescence. [May include luminometers]

Dataset-specific Instrument Name
Shimadzu TOC-V CSH Total Organic Carbon Analyzer
Generic Instrument Name
Shimadzu TOC-V Analyzer
Dataset-specific Description
Total organic carbon (TOC) was determined by the high temperature catalytic oxidation method using a Shimadzu TOC-V CSH Total Organic Carbon Analyzer.  This method was used from HOT-125 onward.
Generic Instrument Description
A Shimadzu TOC-V Analyzer measures DOC by high temperature combustion method.

Dataset-specific Instrument Name
Single Operator Multi-parameter Metabolic Analyzer (SOMMA)
Generic Instrument Name
Single Operator Multi-parameter Metabolic Analyzer
Dataset-specific Description
Samples for dissolved inorganic carbon (DIC) were measured using a Single Operator Multi-parameter Metabolic Analyzer (SOMMA) 
Generic Instrument Description
Single Operator Multi-parameter Metabolic Analyzer (SOMMA) which was manufactured at the University of Rhode Island and standardized at the Brookhaven National Laboratory.

Dataset-specific Instrument Name
Generic Instrument Name
Spectrophotometer
Dataset-specific Description
Used for spectrophotometric seawater pH measurements
Generic Instrument Description
An instrument used to measure the relative absorption of electromagnetic radiation of different wavelengths in the near infra-red, visible and ultraviolet wavebands by samples.

Dataset-specific Instrument Name
Technicon Autoanalyzer II continuous flow system
Generic Instrument Name
Technicon AutoAnalyzer II
Dataset-specific Description
Analyses of dissolved inorganic nutrient concentrations (soluble reactive phosphorus, [nitrate+nitrite], and silicate) were conducted at room temperature on a four-channel Technicon Autoanalyzer II continuous flow system at the University of Hawaii Analytical Facility for samples up through February 2000.
Generic Instrument Description
A rapid flow analyzer that may be used to measure nutrient concentrations in seawater. It is a continuous segmented flow instrument consisting of a sampler, peristaltic pump, analytical cartridge, heating bath, and colorimeter. See more information about this instrument from the manufacturer.

Dataset-specific Instrument Name
digital thermistor
Generic Instrument Name
Thermistor
Dataset-specific Description
Calibrated digital thermistor used for dissolved oxygen procedure
Generic Instrument Description
A thermistor is a type of resistor whose resistance varies significantly with temperature, more so than in standard resistors. The word is a portmanteau of thermal and resistor. Thermistors are widely used as inrush current limiters, temperature sensors, self-resetting overcurrent protectors, and self-regulating heating elements. Thermistors differ from resistance temperature detectors (RTD) in that the material used in a thermistor is generally a ceramic or polymer, while RTDs use pure metals. The temperature response is also different; RTDs are useful over larger temperature ranges, while thermistors typically achieve a higher precision within a limited temperature range, typically 90C to 130C.

Dataset-specific Instrument Name
MQ model 1001 TOC analyzer
Generic Instrument Name
Total Organic Carbon Analyzer
Dataset-specific Description
Prior to HOT-125 (March 2001), Total organic carbon (TOC) concentrations had been measured on a commercially available MQ model 1001 TOC analyzer equipped with a LICOR infrared detector. 
Generic Instrument Description
A unit that accurately determines the carbon concentrations of organic compounds typically by detecting and measuring its combustion product (CO2). See description document at: http://bcodata.whoi.edu/LaurentianGreatLakes_Chemistry/bs116.pdf

Dataset-specific Instrument Name
TD700
Generic Instrument Name
Turner Designs 700 Laboratory Fluorometer
Dataset-specific Description
Turner Designs Model TD-700 was used to measure chlorophyll and phycoerythrin
Generic Instrument Description
The TD-700 Laboratory Fluorometer is a benchtop fluorometer designed to detect fluorescence over the UV to red range. The instrument can measure concentrations of a variety of compounds, including chlorophyll-a and fluorescent dyes, and is thus suitable for a range of applications, including chlorophyll, water quality monitoring and fluorescent tracer studies. Data can be output as concentrations or raw fluorescence measurements.

Dataset-specific Instrument Name
Turner Designs Model 10-AU
Generic Instrument Name
Turner Designs Fluorometer 10-AU
Dataset-specific Description
Turner Designs Model 10-AU was used to measure fluorometric chlorophyll. Samples for Chlorophyll a (chl a) and pheopigments were collected onto glass fiber filters and measured fluorometrically on a Turner Designs Model 10-AU flourometer
Generic Instrument Description
The Turner Designs 10-AU Field Fluorometer is used to measure Chlorophyll fluorescence. The 10AU Fluorometer can be set up for continuous-flow monitoring or discrete sample analyses. A variety of compounds can be measured using application-specific optical filters available from the manufacturer. (read more from Turner Designs, turnerdesigns.com, Sunnyvale, CA, USA)


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Deployments

HOT_cruises

Website
Platform
Multiple Vessels
Report
Start Date
1988-10-31
Description
Since October 1988, the Hawaii Ocean Time-series (HOT) program has investigated temporal dynamics in biology, physics, and chemistry at Stn. ALOHA (22°45' N, 158°W), a deep ocean field site in the oligotrophic North Pacific Subtropical Gyre (NPSG). HOT conducts near monthly ship-based sampling and makes continuous observations from moored instruments to document and study NPSG climate and ecosystem variability over semi-diurnal to decadal time scales.


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Project Information

[Current] Hawaii Ocean Time-series (HOT): 2023-2028; [Previous] Hawaii Ocean Time-series (HOT): Sustaining ocean ecosystem and climate observations in the North Pacific Subtropical Gyre (HOT)


Coverage: North Pacific Subtropical Gyre; 22 deg 45 min N, 158 deg W


Hawai'i Ocean Time-Series Project Summary
This continuing award for the HOT research program sustains the open-ocean climatology of biological, chemical, and physical observations into a 4th decade.

Intellectual Merit
The scientific mission of HOT continues to be monitoring of temporal dynamics in the cycling of carbon and associated bioelements, and observations of the variability of hydrological and ecological properties, heat fluxes, and circulation of the North Pacific Subtropical Gyre (NPSG).  The proposed research will rely on shipboard observations and experiments conducted on 10 separate 5-day expeditions per annum along with near-continuous moored platform measurements of air-sea interactions, ocean mixing, and physical characteristics of the deep sea.  The HOT program maintains the high-quality suite of biogeochemical and physical measurements required for continued assessment of dynamics in ocean carbon and nutrient pools and fluxes, plankton community structure, ecosystem productivity, and inherent optical properties of the water column. Continuity of these observations improves the value of the dataset for deciphering how low-frequency natural and anthropogenic climate signals influence ecosystem structure in the NPSG as well as providing up-to-date measurements to place current signals in the longer-term context.  Such efforts will continue to aid on-going modeling efforts required for predicting how future habitat perturbations may influence ecosystem dynamics in the NPSG.  All HOT program data are publicly available and are frequently used by researchers and policy makers around the world. HOT data provide reference baselines for essential ocean variables, allow for characterization of natural patterns of ocean system variability and associated links to regional climate indices, and support calibration/validation of autonomous in situ and remote (satellite, airborne) sensors.

Broader Impacts
The long-term, continuous HOT data are critical to assess variability on seasonal to decadal time-scales and thus are essential to determine the emergence of anthropogenic signals in the oligotrophic North Pacific.  Further sustaining HOT measurements will strengthen our capacity to test hypotheses about poorly understood interactions between ocean dynamics, climate, and biogeochemistry and increase the value of HOT data for understanding the response of ocean ecosystems to both natural and anthropogenic climate perturbations. Over the next 5 years, we will continue to promote the value of HOT research through high quality, high visibility peer-reviewed journal and book articles, newspaper and newsletter articles, and community outreach. With partners BCO-DMO and OceanSITES we will also continue to strive for a FAIR data model (see data management plan) as metadata standards and conventions evolve in the community. We will continue working with an Earthcube Research Coordination Network for Marine Ecological Time Series (METS) to support efforts that bring together different cross-sections of METS data producers, data users, data scientists, and data managers in large- and small-group formats to foster the necessary dialog to develop FAIR data solutions across multiple time-series.  In addition, HOT is a community resource that helps support the research of numerous ocean scientists who rely on the program’s infrastructure (ship time, staff, laboratories, equipment) to conduct their research, education, and outreach activities.  Moreover, HOT PIs maintain a strong commitment to mentoring and training of undergraduate and graduate students, and will continue these activities as well as facilitates access to the sea by a number of ancillary students and scientists. 

------------------------------------

NSF Award Abstract:
Long-term observations of ocean physics, biology, and chemistry across decades provide a powerful lens for understanding the response of the oceans to environmental change. This award will continue the Hawaii Ocean Time-series (HOT) research program, which began in 1988, for an additional five years. Continuity of these observations will improve the value of the dataset for deciphering how natural and human-influenced climate signals affect ecosystem structure in the Pacific Ocean. All HOT program data are publicly available and are frequently used by researchers and policy makers around the world. HOT also serves as (1) a testbed for the development of new sensors and methodologies, (2) a calibration/validation site, (3) an invaluable training ground that attracts students and researchers from around the globe, and (4) a forum for international collaboration and capacity building.

The proposed research will rely on shipboard observations and experiments conducted on ten separate five-day expeditions per year along with near-continuous moored platform measurements of air-sea interactions, ocean mixing, and physical characteristics of the deep sea. Observations include biogeochemical and physical measurements required for continued assessment of dynamics in ocean carbon and nutrient pools and fluxes, plankton community structure, ecosystem productivity, and inherent optical properties of the water column. The major program goals and objectives over the next 5 years remain as in prior years and include: (1) sustain high quality, time-resolved oceanographic measurements on the interactions between ocean-climate and ecosystem variability in the North Pacific Subtropical Gyre (NPSG), (2) quantify time-varying (seasonal to decadal) changes in reservoirs and fluxes of carbon and associated bioelements (nitrogen, phosphorus, and silicon), (3) constrain processes controlling air-sea carbon exchange, rates of carbon transformation through the planktonic food web, and fluxes of carbon into the ocean?s interior, (4) extend to 40 years a climatology of hydrographic and biogeochemical dynamics from which to gauge anomalous or extreme changes to the NPSG habitat, forming a multi-decadal baseline from which to decipher natural and anthropogenic influences on the NPSG ecosystem, (5) continue to provide scientific and logistical support to ancillary programs that benefit from the temporal context, interdisciplinary science, and regular access to the open sea afforded by HOT program occupation of Station ALOHA, including projects implementing, testing, and validating new methodologies and transformative ocean sampling technologies, and (6) provide unique training and educational opportunities for the next generation of ocean scientists.



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Program Information

Ocean Carbon and Biogeochemistry (OCB)


Coverage: Global


The Ocean Carbon and Biogeochemistry (OCB) program focuses on the ocean's role as a component of the global Earth system, bringing together research in geochemistry, ocean physics, and ecology that inform on and advance our understanding of ocean biogeochemistry. The overall program goals are to promote, plan, and coordinate collaborative, multidisciplinary research opportunities within the U.S. research community and with international partners. Important OCB-related activities currently include: the Ocean Carbon and Climate Change (OCCC) and the North American Carbon Program (NACP); U.S. contributions to IMBER, SOLAS, CARBOOCEAN; and numerous U.S. single-investigator and medium-size research projects funded by U.S. federal agencies including NASA, NOAA, and NSF.

The scientific mission of OCB is to study the evolving role of the ocean in the global carbon cycle, in the face of environmental variability and change through studies of marine biogeochemical cycles and associated ecosystems.

The overarching OCB science themes include improved understanding and prediction of: 1) oceanic uptake and release of atmospheric CO2 and other greenhouse gases and 2) environmental sensitivities of biogeochemical cycles, marine ecosystems, and interactions between the two.

The OCB Research Priorities (updated January 2012) include: ocean acidification; terrestrial/coastal carbon fluxes and exchanges; climate sensitivities of and change in ecosystem structure and associated impacts on biogeochemical cycles; mesopelagic ecological and biogeochemical interactions; benthic-pelagic feedbacks on biogeochemical cycles; ocean carbon uptake and storage; and expanding low-oxygen conditions in the coastal and open oceans.


U.S. Joint Global Ocean Flux Study (U.S. JGOFS)


Coverage: Global


The United States Joint Global Ocean Flux Study was a national component of international JGOFS and an integral part of global climate change research.

The U.S. launched the Joint Global Ocean Flux Study (JGOFS) in the late 1980s to study the ocean carbon cycle. An ambitious goal was set to understand the controls on the concentrations and fluxes of carbon and associated nutrients in the ocean. A new field of ocean biogeochemistry emerged with an emphasis on quality measurements of carbon system parameters and interdisciplinary field studies of the biological, chemical and physical process which control the ocean carbon cycle. As we studied ocean biogeochemistry, we learned that our simple views of carbon uptake and transport were severely limited, and a new "wave" of ocean science was born. U.S. JGOFS has been supported primarily by the U.S. National Science Foundation in collaboration with the National Oceanic and Atmospheric Administration, the National Aeronautics and Space Administration, the Department of Energy and the Office of Naval Research. U.S. JGOFS, ended in 2005 with the conclusion of the Synthesis and Modeling Project (SMP).


Ocean Time-series Sites (Ocean Time-series)

Coverage: Bermuda, Cariaco Basin, Hawaii


Program description text taken from Chapter 1: Introduction from the Global Intercomparability in a Changing Ocean: An International Time-Series Methods Workshop report published following the workshop held November 28-30, 2012 at the Bermuda Institute of Ocean Sciences. The full report is available from the workshop Web site hosted by US OCB: http://www.whoi.edu/website/TS-workshop/home

Decades of research have demonstrated that the ocean varies across a range of time scales, with anthropogenic forcing contributing an added layer of complexity. In a growing effort to distinguish between natural and human-induced earth system variability, sustained ocean time-series measurements have taken on a renewed importance. Shipboard biogeochemical time-series represent one of the most valuable tools scientists have to characterize and quantify ocean carbon fluxes and biogeochemical processes and their links to changing climate (Karl, 2010; Chavez et al., 2011; Church et al., 2013). They provide the oceanographic community with the long, temporally resolved datasets needed to characterize ocean climate, biogeochemistry, and ecosystem change.

The temporal scale of shifts in marine ecosystem variations in response to climate change are on the order of several decades.  The long-term, consistent and comprehensive monitoring programs conducted by time-series sites are essential to understand large-scale atmosphere-ocean interactions that occur on interannual to decadal time scales.  Ocean time-series represent one of the most valuable tools scientists have to characterize and quantify ocean carbon fluxes and biogeochemical processes and their links to changing climate.

Launched in the late 1980s, the US JGOFS (Joint Global Ocean Flux Study; http://usjgofs.whoi.edu) research program initiated two time-series measurement programs at Hawaii and Bermuda (HOT and BATS, respectively) to measure key oceanographic measurements in oligotrophic waters. Begun in 1995 as part of the US JGOFS Synthesis and Modeling Project, the CARIACO Ocean Time-Series (formerly known as the CArbon Retention In A Colored Ocean) Program has studied the relationship between surface primary production, physical forcing variables like the wind, and the settling flux of particulate carbon in the Cariaco Basin.

The objective of these time-series effort is to provide well-sampled seasonal resolution of biogeochemical variability at a limited number of ocean observatories, provide support and background measurements for process-oriented research, as well as test and validate observations for biogeochemical models. Since their creation, the BATS, CARIACO and HOT time-series site data have been available for use by a large community of researchers.
 
Data from those three US funded, ship-based, time-series sites can be accessed at each site directly or by selecting the site name from the Projects section below.

 



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Funding

Funding SourceAward
NSF Division of Ocean Sciences (NSF OCE)
NSF Division of Ocean Sciences (NSF OCE)
NSF Division of Ocean Sciences (NSF OCE)
NSF Division of Ocean Sciences (NSF OCE)

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