• Keine Ergebnisse gefunden

A distributed atmosphere - sea ice - ocean observatory in the central Arctic

N/A
N/A
Protected

Academic year: 2022

Aktie "A distributed atmosphere - sea ice - ocean observatory in the central Arctic"

Copied!
1
0
0

Wird geladen.... (Jetzt Volltext ansehen)

Volltext

(1)

Irradiance

Ramses ACC-VIS (320-950 nm, Trios)

Attenuation

Viper (360-750 nm, Trios)

Radiance

Ramses ARC-VIS (320-950 nm, Trios)

Still camera

Tiger Shark (Imenco)

HD zoom camera

Surveyor WAHD (Bowtech)

Navigation camera

L3C-720 (Bowtech)

Altimeter

PA500 (Tritech)

Scanning sonar

Micron (Tritech)

USBL position

Micronav (Tritech)

Manipulator

1F (Sublantic)

Lights

LED-K-3200 (Bowtech)

Multibeam sonar

DT101 (Imagenex)

Oxygen

43F DO (Seabird)

CTDGP-CTD (Seabird)

pH18 PH (Seabird)

Nitrate

SUNA (Satlantic)

On skid

On backside Fluorometer

Eco Triplet (Wetlabs)

A distributed atmosphere - sea ice - ocean observatory in the central Arctic

*actual deployments may vary

1 2

4

5

3

Arctic and Antarctic buoy data are available in near real time on http://data.seaiceportal.de. These buoys also contribute to the in- ternational buoy networks, as well as to the Global Telecommuni- cation System (GTS). The data of all buoys are pu-

blished and distributed through the online data- base PANGAEA.

Data availability

4 5 3 6

2

1 Snow Buoy/weather station Spectral radiation station

Ice Mass balance Buoy (IMB)

Ice-tethered Bio-Optical Buoy (IBOB) Upper ocean profiler

Remotely Operated Vehicle (ROV)

6

Surface & air temperature Barometric pressure

Relative Humidity

Wind speed & direction Downwelling

(spectral ) irradiance

Sea-ice thickness Snow depth

Sea ice drift

Thermal properties

Reflected & transmitted (spectral) irradiance (PAR)

Chl-a fluorescence Dissolved Oxygen

Temperature, Salinity, Dissolved Oxygen

Chl-a & CDOM fluorescence Particle backscatter

Nitrate PAR

Key parameters - atmosphere

Top: One central node and 3 sub-nodes represent one drifting observatory. Each year between 2017 and 2020, two such observatories will be deployed upstream the Transpolar Drift of the Arctic

to overcome the Three main observational challenges in ice-covered oceans:

Spatial coverage:

the challenge of scales Temporal coverage:

the challenge of seasonality Interdisciplinarity:

climate- & ecosystem interaction

Sep 2015 Jan 2017

ITP93

Figures: WHOI

Graphics: Alfred-Wegener-Institute/FRAM/ Sabine Lüdeling

Ke y p ara meters - sea ice & sn ow

Key p arameters - ocean

M ultidisciplinary I ce-based D istributed O bservatory (MIDO)

CENTRAL NODE

SUB-NODE SUB-NODE

SUB-NODE up to 100 km

up to 100 km up to 100 km

European Geosciences Union General Assembly 2017

Vienna | Austria | 23–28 April 2017

X5.503

FRAM

Region of planned deployments

1Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung, Bremerhaven, Germany

M. Hoppmann

1

, M. Nicolaus

1

, B. Rabe

1

, F. Wenzhöfer

1

, C. Katlein

1

, D. Scholz

1

, L. Valcic

2

2Bruncin Observation Systems, Zagreb, Croatia

Top: ocean profiler ITP93 recorded 1,5 years of bio- physical data in the Eurasian Basin, revealing a

rarely observed autumn phytoplankton bloom.

ROV operations & buoy observatories are critical elements of the MOSAiC experiment in 2019/20.

Left: Central Arctic buoy deployments between 2013 and 2016, and region of planned deployments in 2017.

Photos of buoy deployments: Ice-tethered Bio-Optical Buoy (left), Ice Mass balance Buoy and Snow Buoy (center), upper ocean profiler (right). Far right: the remotely operated vehicle „BEAST“ is equipped with similar sensors as the buoys to determine the spatial variability of key parameters.

Referenzen

ÄHNLICHE DOKUMENTE

Observations on marine Hg dynamics, however, have been restricted to the Canadian Archipelago and the Beaufort

[r]

- Tracks snow and ice thickness changes - Use thermistor string to sense position. of snow/air, snow/ice, and

Lorbacher, K., Marsland, S. Rapid barotropic sea-level rise from ice-sheet melting scenarios. Multidecadal sea level anomalies and trends in the western tropical Pacific. The deep

A thick and highly stratified snow cover accumulates on the fast ice, altering the re- sponse of the surface to remote sensing and affecting sea-ice energy- and mass balance.

Landfast ice is not represented in the state-of-the-art sea ice-ocean models and this results in underestimating the amount of the brine formed in polynyas and

In addition to the optical measurements, a comprehen- sive data set of sea-ice, surface, and snow properties were recorded in order to classify the optical data and enable

During the Polarstern summer expedition TransArc 2011 to the Central Arctic, potential Net Primary Productivity rates (NPP) and Chlorophyll a were measured in