• Keine Ergebnisse gefunden

Influence of ice thickness and surface properties on light transmission through Arctic sea ice.

N/A
N/A
Protected

Academic year: 2022

Aktie "Influence of ice thickness and surface properties on light transmission through Arctic sea ice."

Copied!
15
0
0

Wird geladen.... (Jetzt Volltext ansehen)

Volltext

(1)

Influence of ice thickness and surface properties on light transmission through Arctic sea ice.

Christian Katlein1,

S. Arndt1, M. Nicolaus1, M. Jakuba2, S. Suman2, S. Elliott2, L. Whitcomb2,3, C. McFarland3,

D. Perovich4, R. Gerdes1, A. Boetius1,5, C. German3

1

2 3 4 5

(2)

Why light transmission?

• Energy fluxes:

• Sea ice  mass balance

• Ocean  warming

• Light availability:

 ecosystem

(3)

air

sea ice

water

melt pond

transmission

Light transmission through sea ice

ridge

ice thickness surface properties

(4)

Typical sea ice sampling vs. ROV

(5)

Nereid Under-Ice (NUI)

• Light-fiber tether

• Piloted / autonomous

• Multiple sensors:

• Radiometers  light

• Multibeam sonar  ice topography

• …

(6)

Coordinated survey

- Optics

- Topography - Drillholes

- Aerial image

28 July 2014

(7)

Results

(8)

albedo

light

ice draft

(9)

albedo

ice draft

72% of light variability are explained by ice draft and surface albedo

Averages over larger footprints better describe the variability

Sea ice is not a homogenous slab

1-D models have limited capabilities

(10)

Spatial scales of variablity

• Analysis of Variograms

Distance of data pairs

Variance

Range Datapoints with a distance bigger than the range value are unrelated

(11)

Typical length Scales

Pole survey (~100 m)

All data

(>10 000 m²)

Ice draft 26.8 m 15.1 m

Albedo 8.4 m 10.6 m

Light

transmission 8.4 m 16.6 m

(12)

Typical length Scales

On small scales (<100m), light variability is associated with melt pond variability

On larger scales, light variability is

associated with ice thickness variability

(13)

Histograms

→ 𝑇𝑖 = 1 − 𝛼𝑖 exp (−𝜅𝑧𝑖)

Albedo Draft

Light calculted

(14)

Summary

NUI ROV enables comprehensive spatial surveys under ice

Spatial averages of albedo and ice

thickness determine light transmittance

Variability of light-transmittance is driven by melt-ponds on small scale and by

ice-thickness on larger scales.

Histograms of optical properties of sea ice can be constructed from distributions of ice thickness and albedo

Katlein et al. 2015, submitted to JGR

(15)

Thank you!

• Polarstern crews & captain 2011, 2012, 2014

• WHOI NUI-Team:

Mike Jakuba, Chris German, Louis Whitcomb, Stephen Elliot,

Stefano Suman, Christopher McFarland, Chris Judge, John Bailey Sam Laney, Ted Maksym, and many more

• NUI Funders:

NSF OPP (ANT-1126311), NOAA OER (NA14OAR4320158), WHOI, James Family Foundation, George Frederick Jewett Foundation East

• AWI sea ice group

Referenzen

ÄHNLICHE DOKUMENTE

Do (sub)seasonal forecast systems have predictive skills for the sea ice edge position.. Are we able to properly verify the sea ice distribution in

- New and thin ice, ridges, seasonal ice, melt ponds - Towards distribution functions =&gt; spatial variability Focus on key season: spring-summer transition - Snow melt and melt

The idea behind the models own analysis is to define virtual observations based on the control forecasts evaluated at the initial time of each single

often a conglomerate of floes of different ice types with varying surface and bottom topography, thickness etc., smaller scale features caused by ice dynamics like ridges and

Right: Changes of the annual solar heat flux through Arctic sea ice for the years 1979 to 2011.. Figure 4: Input data sets and parameterization for the Arctic-wide upscaling

In particular, it was found that (1) prior to onset of melt (i.e., March and May), the spatial variability did not change with time, (2) the relative spatial variability was

Light penetrates deeper in Pacific water than in Atlantic water, where light transmission is reduced to the upper 10 m because of higher CDOM concentrations and

Data source: NSIDC, Polar Pathfinder sea ice motion vectors (Fowler, 2003). • Decrease in sea ice drift velocities in the western