Ocean observations: Difference between revisions
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==Ocean climate variables== |
==Ocean climate variables== |
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=== Atmosphere surface === |
=== Atmosphere surface === |
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Air [[Temperature]] <br /> |
Air [[Temperature]] <br /> |
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[[Ocean current]] <br /> |
[[Ocean current]] <br /> |
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[[Ocean color]] (for biological activity) <br /> |
[[Ocean color]] (for biological activity) <br /> |
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Carbon dioxide partial pressure ([[ |
Carbon dioxide partial pressure ([[pCO2]]) |
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=== Ocean subsurface === |
=== Ocean subsurface === |
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== Ocean observation sources == |
== Ocean observation sources == |
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=== Satellite === |
=== Satellite === |
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There is a composite network of satellites that generate observations.<ref>[http://ioc3.unesco.org/oopc/obs/surface_sat.php] {{dead link|date=January 2015}}</ref> These include: |
There is a composite network of satellites that generate observations.<ref>[http://ioc3.unesco.org/oopc/obs/surface_sat.php] {{dead link|date=January 2015}}</ref> These include: |
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| Carbon VOS |
| Carbon VOS |
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| [[pCO2]], SST, SSS |
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| IOCCP |
| IOCCP |
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Revision as of 00:53, 9 March 2015
The following are considered essential ocean climate variables[1] by the Ocean Observations Panel for Climate (OOPC)[2] that are currently feasible with current observational systems .
Ocean climate variables
Atmosphere surface
Air Temperature
Precipitation (meteorology)
evaporation
Air Pressure, sea level pressure (SLP)
Surface radiative fluxes
Surface thermodynamic fluxes
Wind speed and direction
Surface wind stress
Water vapor
Ocean surface
Sea surface temperature (SST)
Sea surface salinity (SSS)
Sea level
Sea state
Sea ice
Ocean current
Ocean color (for biological activity)
Carbon dioxide partial pressure (pCO2)
Ocean subsurface
- Temperature
- Salinity
- Ocean current
- Nutrients
- Carbon
- Ocean tracers
- Phytoplankton
Ocean observation sources
Satellite
There is a composite network of satellites that generate observations.[3] These include:
| Type | Variables observed | Responsible organizations |
|---|---|---|
| Infrared (IR) | SST, sea ice | CEOS, IGOS, CGMS |
| AMSR-class microwave | SST, wind speed, sea ice | CEOS, IGOS, CGMS |
| Surface vector wind (two wide-swath scatterometers desired) | surface vector wind, sea ice | CEOS, IGOS, CGMS |
| Ocean color | chlorophyll concentration (biomass of phytoplankton) | IOCCG |
| high-precision altimetry | sea-level anomaly from steady state | CEOS, IGOS, CGMS |
| low-precision altimetry | sea level | CEOS, IGOS, CGMS |
| Synthetic aperture radar | sea ice, sea state | CEOS, IGOS, CGMS |
In situ
There is a composite network of in situ observations.[4] These include:
| Type | Variables observed | Responsible organizations |
|---|---|---|
| Global surface drifting buoy array with 5 degree resolution (1250 total) | SST, SLP, Current (based on position change) | JCOMM Data Buoy Cooperation Panel (DBCP) |
| Global tropical moored buoy network (about 120 moorings) | typically SST and surface vector wind, but can also include SLP, current, air-sea flux variables | JCOMM DBCP Tropical Moored Buoy Implementation Panel (TIP) |
| Volunteer Observing Ship (VOS) fleet | all feasible surface ECVs | JCOMM Ship Observations Team (SOT) |
| VOSClim | all feasible surface ECVs plus extensive ship metadata | JCOMM Ship Observations Team (SOT) |
| Global referencing mooring network (29 moorings) | all feasible surface ECVs | OceanSITES |
| GLOSS core sea-level network, plus regional/national networks | sea level | JCOMM GLOSS |
| Carbon VOS | pCO2, SST, SSS | IOCCP |
| Sea ice buoys | sea ice | JCOMM DBCP IABP and IPAB |
Subsurface
There is a composite network of subsurface observations.[5] These include:
| Type | Variables observed | Responsible organizations |
|---|---|---|
| Repeat XBT (Expendable bathythermograph) line network (41 lines) | Temperature | JCOMM Ship Observations Team (SOT) |
| Global tropical moored buoy network (~120 moorings) | Temperature, salinity, current, other feasible autonomously observable ECVs | JCOMM DBCP Tropical Moored Buoy Implementation Panel (TIP) |
| Reference mooring network (29 moorings) | all autonomously observable ECVs | OceanSITES |
| Sustained and repeated ship-based hydrography network | All feasible ECVs, including those that depend on obtaining water samples | IOCCP, CLIVAR, other national efforts |
| Argo (oceanography) network | temperature, salinity, current | Argo |
| Critical current and transport monitoring | temperature, heat, freshwater, carbon transports, mass | CLIVAR, IOCCP, OceanSITES |
| Regional and global synthesis programmes | inferred currents, transports gridded fields of all ECVs | GODAE, CLIVAR, other national efforts |
Accuracy of measurements
The quality of in situ measurements is non-uniform across space, time and platforms. Different platforms employ a large variety of sensors, which operate in a wide range of often hostile environments and use different measurement protocols. Occasionally, buoys are left unattended for extended periods of time, while ships may involve a certain amount of the human-related impacts in data collection and transmission.[6] Therefore, quality control is necessary before in situ data can be further used in scientific research or other applications. This is an example of quality control and monitoring of sea surface temperatures measured by ships and buoys, the iQuam system developed at NOAA/NESDIS/STAR,[7] where statistics show the quality of in situ measurements of sea surface temperatures.
Historical data available
OceanSITES [8] manages a set of links to various sources of available ocean data, including: the Hawaiian Ocean Timeseries (HOT),[9] the JAMSTEC Kuroshio Extension Observatory (JKEO),[10] Line W monitoring the North Atlantic's deep western boundary current,[11] and others.
This site includes links to the ARGO Float Data, The Data Library and Archives (DLA), the Falmouth Monthly Climate Reports, Martha's Vineyard Coastal Observatory, the Multibeam Archive, the Seafloor Data and Observation Visualization Environment (SeaDOVE): A Web-served GIS Database of Multi-scalar Seafloor Data, Seafloor Sediments Data Collection, the Upper Ocean Mooring Data Archive, the U.S. GLOBEC Data System, U.S. JGOFS Data System, and the WHOI Ship Data-Grabber System.
There are a variety of data sets in a data library listed at Columbia University:[12]
This library includes:
- LEVITUS94 is the World Ocean Atlas as of 1994, an atlas of objectively analyzed fields of major ocean parameters at the annual, seasonal, and monthly time scales. It is superseded by WOA98.
- NOAA NODC WOA98 is the World Ocean Atlas as of 1998, an atlas of objectively analyzed fields of major ocean parameters at monthly, seasonal, and annual time scales. Superseded by WOA01.
- NOAA NODC WOA01 is the World Ocean Atlas 2001, an atlas of objectively analyzed fields of major ocean parameters at monthly, seasonal, and annual time scales. Replaced by WOA05.
- NOAA NODC WOA05 is the World Ocean Atlas 2005, an atlas of objectively analyzed fields of major ocean parameters at monthly, seasonal, and annual time scales.
In situ observations spanning from the early 1700s to present are available from the International Comprehensive Ocean Atmosphere Data Set (ICOADS).
This data set includes observations of a number of the surface ocean and atmospheric variables from ships, moored and drifting buoys and C-MAN stations.
Future developments
Areas requiring research and development[13]
- Satellite observations with higher resolution and accuracy and more spectral bands from geostationary satellites
- improved capability for ocean color observations in coastal and turbid waters
- improved interpretation of sea-ice data from satellites
- satellite measurement of salinity
- Observing system evaluation and design, including improvements in air-sea flux parameterizations.
- Improvements in ocean platforms, including increased capabilities for Argo floats
- improved glider technology and mooring technology.
- New development in ocean sensors and systems, including improved bio-fouling protection, autonomous water sampling systems, optical and acoustic systems, airborne variable sensors, and two-way, low-cost, low-power telecommunications.
- New and improved capability to measure biogeochemical variables, nutrients, and dissolved oxygen and carbon dioxide, as well as to identify organisms.
- Improved instruments, including near-surface current meters, in-water radiometers, sensors for air-sea interface variables and turbulent fluxes, and VOS sensor systems.
The future of oceanic observation systems:
- Guided unmanned underwater vehicles[14]
Organizations
References
- ^ [1] [dead link]
- ^ "OOPC". Ioc-goos-oopc.org. Retrieved 14 January 2015.
- ^ [2] [dead link]
- ^ [3] [dead link]
- ^ [4] [dead link]
- ^ [5] [dead link]
- ^ "iQuam - in situ SST quality monitoring". Star.nesdis.noaa.gov. Retrieved 14 January 2015.
- ^ [6] [dead link]
- ^ "The Physical Oceanography Component of Hawaii Ocean Timeseries (HOT/PO)". Soest.hawaii.edu. Retrieved 14 January 2015.
- ^ "JKEO Data Web Site". Jamstec.go.jp. Retrieved 14 January 2015.
- ^ "Line W - Monitoring the North Atlantic Ocean's Deep Western Boundary Currents". Whoi.edu. Retrieved 14 January 2015.
- ^ "dataset: SOURCES". Iridl.ldeo.columbia.edu. Retrieved 14 January 2015.
- ^ [7] [dead link]
- ^ "Flight Across the Atlantic - Scarlet Knight". Rucool.marine.rutgers.edu. Retrieved 14 January 2015.
- ^ "Home". Ioc-goos.org. Retrieved 14 January 2015.
- ^ "World Meteorological Organization". Wmo.int. Retrieved 14 January 2015.
- ^ [8] [dead link]
- ^ "Argo : official website". Argo.net. Retrieved 14 January 2015.
- ^ "Argo - part of the integrated global observation strategy". Argo.ucsd.edu. Retrieved 14 January 2015.
- ^ "Observing the ocean". Godae.org. Retrieved 14 January 2015.
- ^ [9] [dead link]
- ^ "Consortium for Ocean Leadership". Consortium for Ocean Leadership. Retrieved 14 January 2015.
Template:Space-based meteorological observation
