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Cryosphere Geophysics Lin Liu Graduate Division of Earth and Atmospheric Sciences Faculty of Science, The Chinese University of Hong Kong Email: [email protected] Website: cryocuhk.github.io

workshop intro 2019 - GitHub Pages€¦ · Antarctica Ice Sheet Mountain Glaciers Not shown on this map: • Snow cover • Lake/river ice • Permafrost (frozen ground) Frozen Ground

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Page 1: workshop intro 2019 - GitHub Pages€¦ · Antarctica Ice Sheet Mountain Glaciers Not shown on this map: • Snow cover • Lake/river ice • Permafrost (frozen ground) Frozen Ground

Cryosphere Geophysics

Lin Liu

Graduate Division of Earth and Atmospheric Sciences Faculty of Science, The Chinese University of Hong Kong

Email: [email protected] Website: cryocuhk.github.io

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About myself• Grew up in Wuhan, China

• Bachelor degree in geophysics from Wuhan University

• PhD degree, also in geophysics, from University of Colorado at Boulder

• Thompson Postdoc Fellow, Stanford University

• Joined The Chinese University of Hong Kong in 2014

• We use geophysical methods to study changes of the cryosphere (frozen part of the Earth system) in a warming climate.

• Check out our lab website cryocuhk.github.io to learn more

• Send me an email for any questions [email protected]

Lab website

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The cryosphere is an important part of the global Earth system

Cryosphere: frozen water on Earth’s surface •Stores 75% of world’s freshwater•Linked to water cycle, sea level change, surface energy and gas exchange

•ALL cryospheric components are undergoing fast warming and area reduction

Sea Ice Greenland Ice Sheet

Antarctica Ice Sheet

Mountain Glaciers

Not shown on this map:• Snow cover• Lake/river ice• Permafrost (frozen ground)

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FrozenGroundGreenland

Ice Sheet

Cryosphere

Ice Mass

Balance

Glacial

Dynamics

InSAR

Rock

Glaciers

Active Layer

Thickness

Mercury

Carbon

Taliks

Wildfires

Snow

Freeze/Thaw

Status

Elevation

Changes

Thermokarst

Remote Sensing GeophysicsGNSSSatellite Gravity Deep LearningPassive & Active MicrowaveOptical Radar Surface NMR

Ice Sheet

Hydrology

Interaction with Solid Earth

Glacial

Isostatic

Adjustment

Elastic

Rebound

Space GeodesyAltimetry

SAGI

SGI

AGI

SAGI

IOD

GIODS

GP

GI

IR

IO

GlacialSpeed

Calving

Cryosphere Geophysics Group @ CUHKR

ecen

t res

earc

h pr

ojec

ts

Greenland Ice Mass Loss Permafrost Degradation Rock Glacier Kinematics

See

post

ers

Tom

orro

w!

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Geophysical Methods

Altimetry

Global Positioning System

Interferometric Synthetic Aperture Radar

Seismic Methods

Ground Penetrating Radar

Surface Nuclear Magnetic Resonance

Satellite Gravity

Cryospheric Systems

Glaciers

Sea Ice

Lake Ice

Permafrost

Ice Sheets

Combined use of multiple geophysical tools for cryospheric studies

Changes

Glacial Thinning

Glacial Speed

Glacial Isostatic Rebound

Glacial Mass Balance

Sea Ice Dynamics

Lake Ice Growth

Permafrost Surface Subsidence

Thaw Depth

Rock Glacier Flow

Underground Thawing

Ice Sheet Mass Loss

Liu et al., JGR 2010, 2012, 2015Liu et al., The Cryosphere, 2014Liu et al., GRL 2014Liu and Larson, The Cryosphere, 2018Hu et al., GRL 2018Chen et al., JGR 2018

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Geophysical Methods

Altimetry

Global Positioning System

Interferometric Synthetic Aperture Radar

Seismic Methods

Ground Penetrating Radar

Surface Nuclear Magnetic Resonance

Satellite Gravity

Cryospheric Systems

Glaciers

Sea Ice

Lake Ice

Permafrost

Ice Sheets

Combined use of multiple geophysical tools for cryospheric studies

Changes

Glacial Thinning

Glacial Speed

Glacial Isostatic Rebound

Glacial Mass Balance

Sea Ice Dynamics

Lake Ice Growth

Permafrost Surface Subsidence

Thaw Depth

Rock Glacier Flow

Underground Thawing

Ice Sheet Mass Loss

Liu et al., GJI 2012, JGR 2017Khan et al., JGR 2010, Nature Climate Change 2014Nelsen et al., JGR 2013Wahr et al., JGR 2013Zhang et al., JGR, 2017, EPSL 2018, EPSL2019

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Siberia(Russia)

Iceland

Greenland

Canada

Arctic Ocean

Svalbard

Alaska(USA)

Scandinavia

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Greenland contains ice that could raise sea level by 6 m

‘Cool’ facts about Greenland

• Largest island in the world

• 81% of surface is covered by ice • If ice melts completely, global sea level rises by 6 m

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Greenland loses ice through surface melting and glacial discharge

Figure modified from van den Broeke et al., 2009

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Greenland loses ice through surface melting and glacial discharge

Figure modified from van den Broeke et al., 2009 Rignot and Mouginot, 2012

Snapshot of ice motion speed in 2010

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Calving (��) and calving front

Calving front: the terminus of the glacier

Calving: breaking away of ice from glaciers

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Significance of calving process

• A great contributor to the mass change of many glacier systems worldwide and global sea level rise.

• Icebergs generated by calving have a cooling effect on ocean, which can substantially influence the broader climate system.

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Automatically delineating calving from images using Deep Learning

Developed a novel method based on deep learning to

extract calving front automatically from multiple remote

sensing datasets with no constraint of time and study area.

Manually-designed Method

• Require low computational power• Require extensive prior knowledge and experience • Appropriate for problems with low computational complexity

Deep Learning Method

• Take advantage of increased data volume • Can solve more complex problems

• In the big data era, data volume of remote sensing imagery (and everything else)has increased dramatically, which increases the computational complexity.

• Therefore, deep learning method becomes more appropriate.

Enze Zhang

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Image Classification, Segmentation Speech Recognition, Stock Price Prediction

Game Player

Applications of Deep Learning

And many many more!

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TerraSAR-X radar image

Landsat-8 optical image

• One of the largest and fastest tidewater glaciers in the world.

• Contributed nearly 1 mm to the global sea level rise from 2000 to 2011

Study target: Jakobshavn glacier

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Deep Learning Results

Zhang, E., L. Liu, L. Huang (2019), Automatically delineating the calving front of Jakobshavn Isbræ from multitemporal TerraSAR-X images: a deep learning approach, The Cryosphere, 13, 1729-1741

Enze will give a poster on this study

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Why I am excited about cryospheric geophysics

• Innovative and combined usage of state-of-the-art geophysical methods, including deep learning

• Study on-going dramatic changes in various cryosphere systems from interdisciplinary perspectives

• High social impacts: global climate change, sea level rise, etc.

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Siberia(Russia)

Scandinavia

Iceland

Greenland

Alaska(USA)

Canada

Arctic Ocean

Svalbard

My previous & current field sites

Tibet(China)

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Page 20: workshop intro 2019 - GitHub Pages€¦ · Antarctica Ice Sheet Mountain Glaciers Not shown on this map: • Snow cover • Lake/river ice • Permafrost (frozen ground) Frozen Ground

Time for action! (see more photos from our group website)

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What kind of PhD students I am looking for

• A driving curiosity to understand how the Earth, esp. the cryosphere works

• Self-motivated

• Independent but capable of working in a team

• Willing to tackle challenging problems

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What I can offer you

• Share my passion of science & my vision about cryospheric geophysics

• Train you as an independent scholar through frontier research projects

• International perspectives and professional network

• Always ready to help

• Looking forward to learning from you

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Want to learn more about our group’s research this week?

• Tomorrow (Wed) poster session: my PhD students will present four posters

• Group meeting on Thursday • 2:30 pm in this conference room• Lingcao Huang’s rehearsal presentation for PhD thesis defense: “Mapping Non-lake Thermokarst Landforms on the Tibetan Plateau Using Remote Sensing and Deep Learning”

• Talk to me (Room 315) and my group members (Room 308)

• Visit my group website• I’ll put this presentation on my website

Email: [email protected]

Website: cryocuhk.github.io