Niskin bottle water samples and associated CTD measurements from the Hawaii Ocean Time-Series cruises from 1988-2023

Website: https://www.bco-dmo.org/dataset/3773
Data Type: Cruise Results
Version: 3
Version Date: 2025-04-22

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.University of Hawaiʻi at Mānoa (SOEST)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. This dataset presents biogoeochemical data from water samples collected on cruises HOT-001 through HOT-348 from October 1988 through December 2023.


Coverage

Location: Station ALOHA (circle of 6 mile radius in the Pacific Ocean north of Hawaii)
Spatial Extent: N:23.4375 E:-157.4567 S:21.2283 W:-158.8575
Temporal Extent: 1988-10-30 - 2023-12-31

Dataset Description

Water samples for a variety of chemical and biological measurements are routinely collected from the surface to within 10 meters 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.

 

Methods & Sampling

Sampling strategy

Timing: HOT cruises are conducted at approximately monthly intervals, and approximately 72 hours is spent on station. During this period, nearly continuous measurements of water column physical characteristics are made using a CTD. One CTD cast is made to 4700 m (maximum water depth is approximately 4750 m), and then 1000 m casts are made at approximately 3-hour intervals for at least 36 hours (see Chapter 4). Chemical constituents and relevant biogeochemical cycling rates are measured from water samples at discrete depths. 

Location: Our primary sampling site is centered at 22° 45'N, 158° 00'W. This location is approximately 100 km due north of Kahuku Point, Oahu and Station ALOHA is defined as the ocean within a 6 mi radius of the center. This location is believed to be free of significant biogeochemical island mass effects; it is located 50 km (one Rossby radius) away from the topography associated with the Hawaiian Ridge, it is northeast (upwind) of the Hawaiian Archipelago, and it is above flat topography in 4750 meters of water. 

High-resolution profiles: High-resolution profiles of relevant physical, chemical, and biological oceanic properties are collected using a Seabird CTD. The instrument is equipped with external temperature, conductivity, dissolved oxygen and fluorescence sensors and with an internal pressure sensor. A General Oceanics 24-place pylon and deck box are used to obtain water samples from discrete depths using 12-liter Niskin bottles on a Scripps- type aluminum rosette frame 

Discrete Depth measurements: Sampling depths range from the surface to approximately 50 meters above the seafloor (4750 m), with most of the samples being collected in the upper 1000 meters. Approximately 20% of the samples are collected and analyzed in triplicate. To the extent possible, samples are collected from the same depths and/or density levels each month in order to facilitate comparisons between monthly profiles. During each HOT cruise, at least 20% of the samples are routinely collected in duplicate or triplicate to evaluate field precision. Salinity samples are collected from all Niskin bottles in order to identify bottle trip errors and on-deck sample temperatures (for those casts where oxygen samples are drawn) are recorded for each water bottle sampled. Both procedures are useful for the identification of sample mistrips (i.e., the collection of water from a depth other than intended). Our sampling strategy is based on resolving depth profiles of specific chemical constituents from contiguous casts. This is done in order to produce profiles which minimize the effects of time-dependent density structure variation within the water column.

BioGeoChemical properties

Seawater is collected from known depths using CTD-rosette sampling procedures. 

Dissolved Oxygen: Subsamples are drawn into calibrated iodine flasks and dissolved oxygen (DO) is chemically bound by the formation of a flocculated form of manganese(III) hydroxide (Mn(OH)3 floc). The floc is subsequently dissolved under acidic conditions which stochiometrically converts the original DO oxidizing equivalents to iodine (I3- ion). The latter is quantitatively titrated with thiosulfate (S2O32-) ions to a potentiometric end-point using a high-precision computer-controlled titration system.

Dissolved Inorganic Carbon: Subsamples for dissolved inorganic carbon (DIC) are collected in glass bottles, immediately preserved with HgCl2 and stored for subsequent analysis in the laboratory using a manual commercial CO2 coulometer or a specially constructed automated system.

Alkalinity: Subsamples for alkalinity are collected and immediately preserved with mercuric chloride (HgCl2) for subsequent analysis in the laboratory. The alkalinity is determined by a potentiometric titration, and the end-point is computed using a non-linear least squares approach.

Measurement of pH: The pH is determined by spectrophotometric detection on the total hydrogen scale at 25 C (pHtotal@25), using m-cresol purple dye as the indicator.

Nitrate plus Nitrite: Subsamples are drawn and stored frozen (-20°C) in acid-washed, HDPE bottles. Nitrate+nitrite is measured from subsamples passed through a cadmium reduction column and reacted with aromatic amines to form an azo dye which is analyzed colorimetrically.

High-sensitivity Nitrate+Nitrite determinations by Chemiluminescence:

Subsamples are drawn and stored frozen (-20°C) in acid-washed, HDPE bottles. Nitrate/nitrite is converted to nitric oxide by wet chemical reduction in an acidic solution. The nitric oxide produced is measured using a commercial chemiluminescent detector.

Soluble Reactive Phosphorus: Subsamples are drawn and stored frozen (-20°C) in acid-washed, HDPE bottles. Soluble reactive phosphorus (SRP) is measured colorimetrically following the formation of phosphomolybdic acid.

High-sensitivity Soluble Reactive Phosphorus by MAGIC: Subsamples are collected in HDPE bottles and stored frozen (-20°C). The sample is preconcentrated and SRP is analyzed by standard colorimetry.

Soluble Reactive Silica: Subsamples are drawn into acid-washed, HDPE bottles. Soluble reactive silica (SRSi) is measured colorimetrically following the formation of silico-molybdic acid from the reaction of ammonium molybdate and silica at acidic pH.

Particulate Carbon and Nitrogen: Subsamples are prescreened and transferred to specially designed, calibrated filtration bottles, pressure-filtered through combusted GF/F filters and stored frozen for subsequent analysis. In the laboratory, the filters are dried, combusted and analyzed for C and N using a commercially available instrument.

Particulate Phosphorus: Subsamples are prefiltered (202 µm) and transferred to specially designed, calibrated filtration bottles, pressure filtered through combusted, acid-rinsed glass fiber filters and stored frozen for subsequent analysis. In the laboratory, the filters are combusted at 450°C, leached in dilute HCl and the concentration of the resulting inorganic phosphorus is determined by colorimetric analysis.

Particulate Inorganic Carbon: Particulate inorganic carbon (PIC), primarily calcium carbonate as both calcite and aragonite, is measured on filtered particulate matter from either water column seawater samples collected at discrete depths or sediment trap samples. In the laboratory, the filters are dried and acidified to convert PIC to CO2 which is analyzed by non-dispersive infrared analysis.

Particulate Biogenic Silica: Seawater samples are collected at discrete depths using CTD/rosette sampling procedures. A known volume is concentrated onto a 0.8 µm Nuclepore filter and stored at -20°C. In the laboratory, particulate Si is dissolved in a basic solution, with heat, over time.

Fluorometric Analysis of Chlorophyll a and pheopigments: Subsamples are filtered onto glass fiber filters and placed into cold, 100% acetone to extract photosynthetic pigments. Concentrations of chlorophyll a and phaeopigments are measured by fluorometry.

HPLC Analysis of Algal Pigments: Chlorophylls, carotenes and other accessory pigments are analyzed by high-performance liquid chromatography (HPLC). The diversity as well as their distributions and concentrations in the water column are used to describe the structure of the phytoplankton community.

Enumeration of Bacteria and Cyanobacteria by Flow Cytometry: Seawater is collected and preserved in the field, for later analysis in the lab using an InFlux Flow Cytometer run by the Spigot software package. The populations targeted for enumeration are Prochlorococcus, Synechococcus, pico-eukaryotes (cells sized around 1μm), and heterotrophic, non-fluorescing bacteria. Each sample is split with one aliquot analyzed for auto-fluorescence and the other stained with SYBR Green I, for enumerating heterotrophic bacteria. In both cases, cell excitation is produced using stacked 488nm and 457nm lasers. The data is analyzed using FlowJo software to determine cell numbers per target group and used to derive cell concentrations per milliliter sample.

Microbial ATP: Subsamples are filtered through glass fiber filters and ATP, an obligate constituent of all living organisms, is extracted using boiling TRIS buffer. The extracted ATP is analyzed in a photometer by the firefly bioluminescence reaction, and the ATP content is related to total living (biomass) microbial carbon by the application of a laboratory-derived extrapolation factor.


Data Processing Description

Please refer to the HOT Analytical Methods Web site: https://hahana.soest.hawaii.edu/hot/protocols/protocols.html

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:
- Imported data from source files hot340.gof, hot341.gof, etc. into the BCO-DMO data system. Data file imported using missing data identifiers -9 and -9.00 (v3)
- added Latitude and Longitude values in decimal degrees from cruise summary information (v1, v2, v3)
- combined separate dates and times to create a Sampling_Datetime field (v2, v3)
- added cruise summary information (v1, v2, v3)
- added field for Vessel based on the EXPOCODE (v2, v3)
- added field for HOT_ID based on EXPOCODE and filename (v2, v3)
- merged new data with previous data (v2, v3)
- sorted by Cruise number (largest to smallest) where most recent cruise is listed first (v3)


Problem Description

pH:
All HOT pH data presently available were collected using the spectrophotometric method of Clayton and Byrne (1993) and are reported at a constant temperature of 25ºC. The +0.0047 unit correction suggested by DelValls and Dickson (1998) has NOT been applied to any HOT data. The 1992-1993 HOT pH data were originally reported on the Seawater Scale, while later data have all been reported on the Total Scale. For the sake of consistency, the 1992-1993 pH data have as of today been converted to the Total Scale according to Lewis and Wallace (1998). The Total Scale values are approximately 0.01 pH units higher than the Seawater Scale values they replace. The cruises affected are HOT 36-47 and HOT 49-50. Prior to 1992, on HOT 23-32, pH measurements were made using a pH electrode calibrated with NBS buffers and were reported on the NBS Scale. Potentiometric measurements of pH are inherently less precise than spectrophotometric measurements. Moreover, the relationship between the NBS Scale and the Total Scale is not exact and depends on characteristics of the electrode employed. Given these difficulties, we have not attempted to correct the pre-1992 data to the Total Scale.

Particulate Phosphorus:
Starting November 2011, a modified procedure was used for the analyses of particulate phosphorus. The procedure included vortexing of the sample prior to a longer leaching time (1 hour versus 30 min) of the GFF filter in 0.15 N HCl at room temperature. Both the previous and modified procedures were tested in paired analyses on samples collected over one year (12 cruises). The modified procedure resulted in higher yields by approximately 50% for water column samples (integrated 0-100 m: old method 1.00±0.27 mmol P m-2, versus 1.56±0.14 mmol P m-2) and approximately 30% for P-flux estimated from sediment trap samples (old method: 0.31±0.07 mg P m-2 d-1 versus 0.40±0.09 mg P m-2 d-1). Please see the HOT Data Report 2013 for more detail.

Flow Cytometry:
From December 1990 through September 2005 (HOT 22-173), analysis of microbial numbers was made using an EPICS 753 flow cytometer (Coulter Electronics Corporation, Hialeah, FL, USA) upgraded with a Cicero Data Acquisition System (Cytomation Inc., Boulder, Colorado). Prior to analysis by flow cytometry, samples were prepared using standard protocols (Monger & Landry 1993; Campbell et al., 1994). Enumeration efficiency was tracked using fluorescent beads.

Picoplankton enumeration data collected after HOT-174 were analyzed using a B/D Influx flow cytometer. Three separate chlorophyll containing populations were enumerated by autofluorescence: Prochlorococcus, Synechococcus and the pico-Eukaryotes. Heterotrophic bacteria were enumerated using the DNA stain SYBR Green I and subtracting the previously obtained Prochlorococcus concentration from the DNA positive cells.

[ table of contents | back to top ]

Data Files

File
3773_v3_niskin_hot001_yr01_to_hot348_yr35.csv
(Comma Separated Values (.csv), 30.79 MB)
MD5:bea5a9956ee4893b23d7c8d3fdb2a254
Primary data file for dataset ID 3773, version 3. Biogeochemical properties of seawater collected in Niskin bottles from cruises HOT-001 through HOT-348 (October 1988 to December 2023)

[ table of contents | back to top ]

Related Publications

Campbell, L., Nolla, H. A., & Vaulot, D. (1994). The importance of Prochlorococcus to community structure in the central North Pacific Ocean. Limnology and Oceanography, 39(4), 954–961. doi:10.4319/lo.1994.39.4.0954
Methods
Clayton, T. D., & Byrne, R. H. (1993). Spectrophotometric seawater pH measurements: total hydrogen ion concentration scale calibration of m-cresol purple and at-sea results. Deep Sea Research Part I: Oceanographic Research Papers, 40(10), 2115–2129. doi:10.1016/0967-0637(93)90048-8
Methods
DelValls, T. A., & Dickson, A. G. (1998). The pH of buffers based on 2-amino-2-hydroxymethyl-1,3-propanediol (‘tris’) in synthetic sea water. Deep Sea Research Part I: Oceanographic Research Papers, 45(9), 1541–1554. https://doi.org/10.1016/s0967-0637(98)00019-3 https://doi.org/10.1016/S0967-0637(98)00019-3
Methods
HOT: Analytical Methods and Protocols. Hawaii Ocean Time-series (HOT). Accessed 22-April-2025 https://hahana.soest.hawaii.edu/hot/protocols/protocols.html
Methods
HOT: Sensor Correction & Calibration. https://hahana.soest.hawaii.edu/hot/methods/sensors.html. Accessed 24 Mar. 2025.
Methods
HOT: Yearly Data Reports. Accessed 24 Mar. 2025 https://hahana.soest.hawaii.edu/hot/reports/reports.html
Methods
Lewis, E. R., & Wallace, D. W. R. (1998). Program Developed for CO2 System Calculations. Environmental System Science Data Infrastructure for a Virtual Ecosystem. https://doi.org/10.15485/1464255
Methods
Monger, B. C., & Landry, M. R. (1993). Flow Cytometric Analysis of Marine Bacteria with Hoechst 33342 †. Applied and Environmental Microbiology, 59(3), 905–911. doi:10.1128/aem.59.3.905-911.1993
Methods

[ table of contents | back to top ]

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]

[ table of contents | back to top ]

Parameters

ParameterDescriptionUnits
HOT_ID

Hawaii Ocean Timeseries cruise identifier

unitless
Vessel

Vessel used for the sampling cruise

unitless
EXPOCODE

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

unitless
WHPID_section

The WOCE Hydrographic Program (WHP) section identifier

unitless
Sampling_ISO_DateTime_UTC

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

unitless
Latitude

Latitude of sample collection

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)
Pressure_max

The deepest pressure sampled

decibars (db)
STNNBR

Station number

unitless
CASTNO

Cast number

unitless
Number_bottles

Number of bottles used during the cast

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)
SALNITY

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)
CHL_C1_C2

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 (combined) for CTDSAL, CTDOXY, SALNITY, OXYGEN, DIC, pH, and ALKALIN

unitless
QUALT2

Quality Flags (combined) for pCO2, PHSPHT, NO2+NO3, SILCAT, DOP, DON, and DOC

unitless
QUALT3

Quality Flags (combined) for TDP, TDN, PC, PN, PP, LLN, and LLP

unitless
QUALT4

Quality Flags (combined) for LLSi, CHL_A, PHEO, CHL_C3, CHL_C1+C2, CHL+, and PERID

unitless
QUALT5

Quality Flags (combined) for 19BUT, FUCO, 19HEX, PRASINO, DIADINO, ZEXAN, and CHL_B

unitless
QUALT6

Quality Flags (combined) for HPLC_chl, CHL_C4, A_CAR, B_CAR, CAROTEN, and CHLDA_A

unitless
QUALT7

Quality Flags (combined) for VIOL, LUTEIN, MV_CHLA, DV_CHLA, H_BACT, and P_BACT

unitless
QUALT8

Quality Flags (combined) for S_BACT, E_BACT, ATP, GTP, H2O2, and N2O

unitless
QUALT9

Quality Flags (combined) for Psi, PIC, PE_pt4u, PE_5u, PE_10u, and P15N

unitless
QUALT10

Quality Flags (combined) for P13C, TD700A, TD700B, TD700C, NO2, and SPEC_Si

unitless
Cruise_number

Number of bottles used during the cast

unitless


[ table of contents | back to top ]

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 plus
Generic Instrument Name
CTD Sea-Bird SBE 911plus
Generic Instrument Description
The Sea-Bird SBE 911 plus is a type of CTD instrument package for continuous measurement of conductivity, temperature and pressure. The SBE 911 plus includes the SBE 9plus Underwater Unit and the SBE 11plus Deck Unit (for real-time readout using conductive wire) for deployment from a vessel. The combination of the SBE 9 plus and SBE 11 plus is called a SBE 911 plus. The SBE 9 plus uses Sea-Bird's standard modular temperature and conductivity sensors (SBE 3 plus and SBE 4). The SBE 9 plus CTD can be configured with up to eight 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)


[ table of contents | back to top ]

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.


[ table of contents | back to top ]

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.



[ table of contents | back to top ]

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.

 



[ table of contents | back to top ]

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)

[ table of contents | back to top ]