• Keine Ergebnisse gefunden

Year-round under-ice research on MOSAiC using a remotely operated vehicle (ROV)

N/A
N/A
Protected

Academic year: 2022

Aktie "Year-round under-ice research on MOSAiC using a remotely operated vehicle (ROV)"

Copied!
1
0
0

Wird geladen.... (Jetzt Volltext ansehen)

Volltext

(1)

Year-round under-ice research on MOSAiC using a remotely operated vehicle (ROV)

CHRISTIAN KATLEIN Bussestraße 27 27570 Bremerhaven Telefon 0471 4831-0 www.awi.de

Acknowledgements

This work is funded by the Helmholtz Infrastructure Initiative FRAM and the Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung.

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

ROV program on MOSAiC

To provide easy and reliable access to the underside of the sea ice during the MOSAiC ex- pedition, the Alfred-Wegener-Institute will operate its new remotely operated vehicle during the full duration of the drift directly from an access hole on the ice. The vehicle provides a stable sensor platform, as well as inspection and intervention capabilities. It has a maximum range of 300m from the designated access hole(s) and a depth rating of 100m. The ROV operations under sea ice will allow repeat measurements during the entire drift with little impact to the sea ice, the upper ocean, the ecosystem and other objects of interest.

The main task of the vehicle will be repeated mapping of the spatial variability of the various parameters on a weekly basis. In addition, we plan to use it for deployment and retrieval of under-ice sensor packages and perform inspection and manipulation tasks. The ROV ope- rations can easily be conducted by a small on-board sea ice team due to the reliable and re- dundant system architecture.

In combination with surface measurements, like aerial photography and terrestrial laser scanning, a full 3D characterization of the local ice cover will enable areal upscaling of the obtained results also using remote sensing data. Ideally these high resolution measure- ments at the MOSAiC central observatory will be extended with regular missions of an auto- nomous underwater vehicle (AUV), which can travel longer distances in spite of a small logi- stical footprint, to tie the local observations into the context of the larger spatial scale of the MOSAiC distributed measurement network.

Work routine during MOSAiC:

- 100m x100m grid area framed by two transect lines (no-go & no drilling area) - weekly repeat surveys in the ROV grid

- diving close to the ice and at depth

- weekly repeated vertical profiles in several grid locations

- irregular dives for specific experiments / device deployments such as net tows, ridge studies, sensor inspection and documentation

- ROV control from heated cabin on the ice

- positioning system and marker sticks frozen into the ice floe - operation requires a trained pilot and a trained engineer

Funding for vehicle and personnel is already committed by AWI, so the ROV will be operated during the entire MOSAiC drift, also during winter.

Christian Katlein

1

, Marcel Nicolaus

1

, Hauke Flores

1

, Benjamin Lange

1

, Nicole Hildebrandt

1

, Barbara Niehoff

1

, Allison Fong

1

, Benjamin Rabe

1

Scientific objectives

• Spatio-temporal evolution of sea ice and its associated ecosys- tem

• Linking upper ocean dynamics with the thermodynamic and dynamic development of the ice cover

• Observation of the under-ice ecosystem throughout the entire year

• High resolution ice thickness mapping

• Lateral, vertical and temporal variability of ice optical proper- ties and the under-ice light field

• The vehicle is capable to include YOUR instrument to realize YOUR ideas! Please contact us!

Positioning system: MicronNav USBL

supported by LBL (planned) floe relative navigation

Cameras: HD-zoom video camera (10x zoom)

2 SD video cameras

Still camera (14 MP) with flashlight 2 LED lights (3200 lumen)

zooplancton camera (planned)

Manipulator arm: 1 function manipulator (open/close; 8kg force) 6 degrees of freedom ROV control

Rescue system: Fully redundant and modular system architecture with diveready backup and rescue system

Sensors

hyperspectral radiometers:

TriOS RAMSES-ARC/ACC

hyperspectral extinction:

TriOS VIPER

Nitrate UV-Spectrometer:

SUNA V2

Fluorometer:

ECO-Triplet

altimeter:

(0.-10m)

multibeam sonar:

Imagenex DT101 scanning sonar:

ADCP:

Nortek Aquadopp (2MHz)

CTD:

pH-sensor:

zooplancton net:

water sampler:

Measurements

- light transmittance through sea ice - under-ice light field

- hyperspectral detection of ice algae - optical properties of seawater

- nitrate concentration - UV-absorption spectra - Chlorophyll

- optical backscatter

- FDOM (fluorescent dissolved organic matter) - distance to ice (data correction)

- ice thickness - ice thickness

- 3D geometry of ice underside - obstacle avoidance

- under-ice currents - turbulence

- acoustic backscatter

- sea water salinity / conductivity - sea water temperature

- dissolved oxygen - pH

- horizontal zooplankton sampling underneath ice - ROV-SUIT (surface & under-ice trawl)

- 1L Niskin bottle (mechanical release) - slurp sampler (planned)

opticalacousticoceansampling

ROV grid

100m

100m

Skidoo access control cabin

deployment hole

weekly repeated survey grid

Transect 1 Transect 2

net tow e.g. ridge study

Referenzen

ÄHNLICHE DOKUMENTE

A 1138-meter sediment core (AND-2A) recovered from the Southern McMurdo Sound sector of the Ross Sea comprises a near-continuous record of Antarctic climate and ice sheet

During a winter expedition in the Weddell Sea in 2013, we studied the community composition of under-ice fauna using a Surface and Under-Ice Trawl (SUIT) (in the upper image)

Investigating changes in the Arctic using remotely operated vehicles..

Piot and von Glasow [2008] showed that the precipitation of calcium carbonate (CaCO 3 ) in sea ice brine is a key process allowing for the rapid acidi fi cation of aerosols

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

 Comparing volumes of sea ice, melt ponds and surface waters, ice algae contribute most of the NPP.  NPP is not limited to the bottom part of the ice

1 CTD (SeaBird SBE19 plus) with additional sensors for oxygen (SeaBird SBE 43), pH (SeaBird SBE 18), fluorescence (WETLabs ECO-FLRT), PAR (Biospherical Instruments, QCP-2000)

Due to their di ff erent field of view, radiance (and trans- flectance) results may be well used to describe the spatial variability of under-ice light conditions, while