Contributors | Affiliation | Role |
---|---|---|
White, Angelicque E. | University of Hawaiʻi at Mānoa (SOEST) | Principal Investigator |
Karl, David M. | Co-Principal Investigator | |
Fujieki, Lance A | University of Hawaiʻi at Mānoa (SOEST) | Contact, Data Manager |
Gerlach, Dana Stuart | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
Monthly measurements of the thermohaline structure, water column chemistry, and primary production were collected at station ALOHA as part of the HOT program.
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
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 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)
File |
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niskin_v2.csv (Comma Separated Values (.csv), 40.89 MB) MD5:6230663827b3624f5a0aef95963d6703 Primary data file for dataset ID 3773 |
Parameter | Description | Units |
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 |
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) |
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. |
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.
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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.
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.
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).
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.
Funding Source | Award |
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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) |