Measuring Ice: Observation techniques that inform us about ......The components of the cryosphere:...
Transcript of Measuring Ice: Observation techniques that inform us about ......The components of the cryosphere:...
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MeasuringIce:Observationtechniquesthatinformusabouttheextentanddynamicsofthecryosphere
ESS431:PrinciplesofGlaciology
ESS505:TheCryosphere
Monday,10/01– KnutChristianson
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The components of the cryosphere:
The Ice Sheets
Mountain Glaciers
Seasonal Snow
Sea Ice
Permafrost
Coverage Area Reservoir Size (m sle)
AntarcticaGreenland
23
13.31.71.1
8.4 / 153.0 / 19
45
ArcticAntarctic
0.1
567
0.8
Average Ocean Depth:~3500m
All ice on earth ~ 2%
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Measuring spatiotemporal variability in the cryosphere
Blue, Black, Nisqually & South Cascade Glaciers
Nisqually Glacier
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(Harper, 1993)
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Today’s focus -
• What are the variables of interest in cryospheric research?
• How are these variables measured now, and how have they been historically? What are the advantages of different observation methods?
• What is the basis for remote sensing, and what are the current remote sensing techniques used in cryospheric research?
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Forcings
Glacier System
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Forcings
• Snow accumulation rates and distribution• Melt rates and areas• Atmosphere and ocean temperatures
Glacier System
• Flow behavior (speed / direction)• Geometry (area, thickness)• Substrate material?
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Forcings
• Snow accumulation rates and distribution• Melt rates and areas• Atmosphere and ocean temperatures
In-situ Methods
Airborne/Satellite Remote Sensing
Glacier System
• Flow behavior (speed / direction)• Geometry (area, thickness)• Substrate material?
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In-situ Measurements
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In-situ Measurements
Directly collecting information about a system at a point of interest. This requires that the instrumentation be in contact with a point of interest for
the system.
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Your typical story for a Svalbard glacier:
Front position 1906
Front position 2002
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• Longyearbyen
• Ny-Ålesund
• Ny-Ålesund
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BRG
MLB
• Ny-Ålesund
0 10 km
Austre Brøggerbreen (BRG) and
Midre Lovénbreen (MLB) longest
annually measured high Arctic
mass balance time-series (started
1967, 1968, respectively).
Kongsvegen (KNG) shorter time
series (since 1987).
KNG
NP mass balance
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Accumulation
• To derive total accumulation, you measure change in snow thickness + deposited snow density
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0
100
200
300
400
500
600
0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5
Snow thickness (m)
Ele
vatio
n (m
asl
)
Y = X * 0.002962 + 0.58
Accumulation: Density Cores
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Accumulation: Density Cores
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Melt
• To derive total melt in the ablation zone, you just have to measure changes in ice thickness.
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Stake measurements: accumulation and ablation
Snow
Ice
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Pits and cores : digging deeper in time
• Snow pits can provide information for ~decade of net snow fall information, depending on accumulation rates.
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Pits and cores : digging deeper in time
• Snow pits can provide information for ~decade of net snow fall information, depending on accumulation rates.
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50
100
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350
400
450
500
550
600
-4 -3 -2 -1 0 1 2
Balance (m w.eq.)
Elev
atio
n (m
a.s
.l.)
Winter soundings
2
3
4
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10
11
50
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-4 -3 -2 -1 0 1 2
Balance (m w.eq.)
Elev
atio
n (m
a.s
.l.)
Winter acc.
Winter soundings
2
3
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7
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9
10
11
50
100
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200
250
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350
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550
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-4 -3 -2 -1 0 1 2
Balance (m w.eq.)
Elev
atio
n (m
a.s
.l.)
Winter acc.
Winter soundings
2
3
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7
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9
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11
50
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-4 -3 -2 -1 0 1 2
Balance (m w.eq.)
Elev
atio
n (m
a.s
.l.)
Winter acc.
Summer ablation
Winter soundings
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-4 -3 -2 -1 0 1 2
Balance (m w.eq.)
Elev
atio
n (m
a.s
.l.)
Winter acc.
Summer ablation
Winter soundings
2
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50
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-4 -3 -2 -1 0 1 2
Balance (m w.eq.)
Elev
atio
n (m
a.s
.l.)
Winter accumulation
Summer ablation
Net balance
Winter soundings
2
3
4
5
6
7
8
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11
50
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150
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-4 -3 -2 -1 0 1 2
Balance (m w.eq.)
Elev
atio
n (m
a.s
.l.)
Winter accumulation
Summer ablation
Net balance
Winter soundings
0 0.5 1
50-100
100-150
150-200
200-250
250-300
300-350
350-400
400-450
450-500
500-550
550-600
Elev
atio
n in
terv
al (m
a.s
.l.)
Area (km2)
Winter balance 0.49Summer balance -0.85
Net balance -0.36ELA 414
Balance : Accumulation and Ablation
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2
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50
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-4 -3 -2 -1 0 1 2
Balance (m w.eq.)
Elev
atio
n (m
a.s
.l.)
Winter accumulation
Summer ablation
Net balance
Winter soundings
0 0.5 1
50-100
100-150
150-200
200-250
250-300
300-350
350-400
400-450
450-500
500-550
550-600
Elev
atio
n in
terv
al (m
a.s
.l.)
Area (km2)
Winter balance 0.49Summer balance -0.85
Net balance -0.36
Midre Lovénbreenyear bw bs bn1967/68 0.48 -0.51 -0.031968/69 0.41 -1.25 -0.841969/70 0.36 -0.89 -0.531970/71 0.70 -1.16 -0.461971/72 0.98 -1.2 -0.221972/73 0.82 -0.84 -0.021973/74 0.70 -1.59 -0.891974/75 0.83 -1.04 -0.211975/76 0.75 -1.1 -0.351976/77 0.80 -0.84 -0.041977/78 0.81 -1.29 -0.481978/79 0.80 -1.46 -0.661979/80 0.83 -1.26 -0.431980/81 0.51 -0.97 -0.461981/82 0.66 -0.64 0.021982/83 0.75 -0.92 -0.171983/84 0.74 -1.42 -0.681984/85 0.98 -1.46 -0.481985/86 1.06 -1.27 -0.211986/87 0.82 -0.58 0.241987/88 0.56 -1.05 -0.491988/89 0.63 -0.87 -0.241989/90 0.87 -1.38 -0.511990/91 0.98 -0.88 0.11991/92 0.84 -0.98 -0.141992/93 0.68 -1.56 -0.881993/94 0.87 -1 -0.131994/95 0.52 -1.31 -0.791995/96 0.80 -0.78 0.021996/97 0.56 -0.98 -0.421997/98 0.53 -1.11 -0.581998/99 0.56 -0.90 -0.341999/00 0.49 -0.54 -0.052000/01 0.49 -0.85 -0.36
Mass balance time series
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Svalbard NPI glacier mass balance time series
Austre Brøggerbreen mass balance
-2.0
-1.5
-1.0
-0.5
0.0
0.5
1.0
1.5
1965 1970 1975 1980 1985 1990 1995 2000 2005
Winter Summer Net
Midre Lovénbreen mass balance
-2.0
-1.5
-1.0
-0.5
0.0
0.5
1.0
1.5
1965 1970 1975 1980 1985 1990 1995 2000 2005
Winter Summer Net
Kongsvegen mass balance
-2.0
-1.5
-1.0
-0.5
0.0
0.5
1.0
1.5
1965 1970 1975 1980 1985 1990 1995 2000 2005
Winter Summer Net
-18
-13
-8
-3
2
71965 1970 1975 1980 1985 1990 1995 2000 2005
Year
Cum
ulat
ive
bala
nce
(m)
Austre Brøggerbreen
Midre Lovénbreen
Kongsvegen
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Temperature Observations
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Temperature: Radiosonde [Atmosphere]
• Can ascend 35,000 meters• 92 Stations managed by the NWS (800 world)
• Measure:• Altitude• Pressure• Temperature• Relative humidity• Wind• Position
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Temperature: Radiosonde [Atmosphere]
• Can ascend 35,000 meters• 92 Stations managed by the NWS (800 world)
• Measure:• Altitude• Pressure• Temperature• Relative humidity• Wind• Position
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Temperature: ARGO Float [Ocean]
• Operate for ~5 years• Dive to 2000m Depth
• Measure• Temperature• Salinity • Ocean Currents• Microstructure/turbulence
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Automated Exploration under Antarctic Ice Shelves: Christianson, Dutrieux, Lee, Girton, Rainville
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Robotic Exploration under Dotson Ice Shelf, Antarctica
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Robotic Exploration under Dotson Ice Shelf, Antarctica
Preview for later: combining in-situ and remote-sensing tools is necessary for tricky problems
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Tem
pera
ture
Salin
ityAb
s. Ge
os. V
el.
Robotic Exploration under Dotson Ice Shelf, Antarctica
Are these systems in steady state?
Average Values Standard Deviation
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In Situ Measurements
• Forcings• Stake Measurements (Accumulation and Melt)• Snow Pits (Accumulation Zone)• Land Weather Stations (Temperature / Precip)• Radiosondes (Atmosphere observations)• Argo Floats (Ocean Observations)
• Glacier Characteristics?
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Forcings
• Snow accumulation rates and distribution• Melt rates and areas• Atmosphere and ocean temperatures
In Situ Methods
Airborne/Satellite Remote Sensing
Glacier System
• Flow behavior (speed / direction)• Geometry (area, thickness)• Substrate material?
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Flow Behavior (Survey)
• Set up monitoring stakes• From a fixed point, observe
changes in the positions of those stakes with time
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Flow Behavior (GPS)
• Long-term stations (continuous monitoring)
• Reoccupation (lower cost, lower temperature resolution)
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Geometry• Rely HEAVILY on Remote
sensing
• Stereo-photos collected on the ground, as well as traditional survey methods, were used to compute area.
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Geometry• Rely HEAVILY on Remote
sensing
• Stereo-photos collected on the ground, as well as traditional survey methods, were used to compute area.
• Ice thickness was inferred from area/volume scaling relationships.
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Area/Volume Scaling
! = #$%
V = Glacier Volumec and γ = Empirical or Theoretical ConstantsS = Glacier Area
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Borehole Observations
• Provides direct measurements of ice properties and thickness
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Borehole Observations
• Provides direct measurements of ice properties and thickness
• Spatially restricted, given the cost.
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In Situ Measurements
• Forcings• Stake Measurements (Accumulation and Melt)• Snow Pits (Accumulation Zone)• Land Weather Stations (Temperature / Precip)• Radiosondes (Atmosphere observations)• Argo Floats (Ocean Observations)
• Glacier Characteristics?• Stake Measurements (Repeat surveys for velocity and strain)• Ground Surveys + Stereo Photos (Glacier Geometry)• Borehole observations (Geometry and Physical Properties)
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Remote Sensing
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Remote Sensing
Collecting information about a system at a distance. This requires transmission of information from the system to the instrument without
direct contact.
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Remote Sensing
Collecting information about a system at a distance. This requires transmission of information from the system to the instrument without
direct contact.
Potential Fields Wave Theory
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The Physics of Observation
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Gravity
! = #$% ∗ $'('
Newton’s Law of Universal Gravitation:F: The force due to gravityG: Universal Gravitational Constantm: Masses of the objectsd: Distance between their centers of mass
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Wave Theory
!"#!$" = &"'"#
The Wave Equation:u: The propagating perturbationt: Timec: The wave speed
1D Solution to the Wave Equation:u: The propagating perturbationt: Timex: Distance in the propagation directionk: Wavenumberf: Frequencyc: The wave speed
# $, ) = sin -) − 201 ∗ $ + 4& = 56 - = 75
Wave ReflectionR: Reflection Coefficient
Z: Electric / Acoustic Properties8 = 9" − 97
9" + 97
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Black Body Radiation
!" =2ℎ&'() *
+",- − 1
01
!" ≈234&)()
Planck’s Law:L: Radiance (outgoing energy)h: Planck’s Constantf: Frequencyc: Speed of Lightk: Boltzmann’s ConstantT: Temperature
Brightness Temperature Equations:45: Brightness Temperature6: Emissivity 47: Surface Temperature
(Microwave Approximation)
45 = 648
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Remote Sensing
Ice Thickness / Material Properties Changes in Ice Mass
Sea Ice Presence / Skin Temperature
Surface Changes and Ice Flow Speeds