anthony arendt - university of alaska system · pdf file · 2017-11-10glacier mass...

27
Glacier mass variations using satellite gravimetry Anthony Arendt Geophysical Institute University of Alaska Fairbanks

Upload: lycong

Post on 31-Mar-2018

214 views

Category:

Documents


1 download

TRANSCRIPT

Glacier mass variations using satellite gravimetry

Anthony Arendt

Geophysical InstituteUniversity of Alaska Fairbanks

1 / 27

Lecture Layout

FundamentalsI gravitational force and the geopotentialI expressing the potential in spherical harmonicsI expressing changes in the geopotential as equivalent water mass

Satellite GravimetryI description satellite gravity missions and measurement conceptsI processing GRACE data (spherical harmonic and mascon solutions)

GRACE and GlaciologyI correcting GRACE for non-glacier sources of mass changeI analysis of time series trend and amplitude to determine glacier mass balanceI issues of temporal and spatial resolutionI comparison with geodetic and conventional measurementsI pitfalls of GRACE time series analysis

Background 2 / 27

Why are GRACE estimates so different?

Mass balance estimates for the Greenland ice sheet. GRACE estimates vary by up to afactor of two. We will explore why the same sensor can produce such variable estimates.

0

20

40

60

80

100

-20

-40

-60

-80

-100

-120

-140

-160

-180

-200

-220

-240

-260

-280

-3001990 91 92 93 94 1995 96 97 98 99 2000 01 02 03 04 2005 06 07 08 09 2010

Year

Ne

t B

ala

nce

(G

t/ye

ar)

RADAR Altimetry

RADAR Altimetry

Laser Altimetry

Laser Altimetry

Flux Imbalance

GR

AC

E

Background 3 / 27

FundamentalsI gravitational force exerted by attracting mass m on attracted mass (equal to unity); G is

Newton’s gravitational constant, l is the distance between the masses:

F = Gml2 (1)

I define the gravitational potential as a scalar function:

V =Gm

l(2)

I the total potential acting on a body in space is:

V = G∫ ∫ ∫Earth

dMl

(3)

V

Background 4 / 27

FundamentalsI the potential satisfies Laplace’s Equation:

∆V = 0 (4)

I Spherical harmonic functions form a solution Laplace’s Equation:

V (r , ϑ, λ) =GM

r

∞∑l=0

(Rr

)l+1 l∑m=0

Plm(sin ϑ)(Clm cos(m, λ) + Slm sin(m, λ)) (5)

I l and m are the degree and order of the spherical harmonic expansionI r , ϑ, λ are the spherical geocentric radius, latitude and longitude coordinatesI C and S are dimensionless Stokes CoefficientsI P is the fully normalized associated Legendre polynomial

Background 5 / 27

Fundamentals

zonal

l = 6, m=0

tesseral

l = 12, m=6

sectorial

l = 6, m=6

P2P4

P4

P6P6

P3 P7

P1

P3

P5

P5

P7

I Legendre’s polynomials satisfy the solutionof Laplace’s Equation in spherical harmonics

I the geometricrepresentation of spherical harmonics illustratehow a particular field on a sphere can berepresented, and how the resolution increaseswith increasing degree (l) and order (m)

Background 6 / 27

GRACE derived gravity field: degree/order = 4

Background 7 / 27

GRACE derived gravity field: degree/order = 8

Background 8 / 27

GRACE derived gravity field: degree/order = 12

Background 9 / 27

GRACE derived gravity field: degree/order = 100

Background 10 / 27

FundamentalsRecall geopotential equation:

V (r , ϑ, λ) =GM

r

∞∑l=0

(Rr

)l+1 l∑m=0

Plm(sin ϑ)(Clm cos(m, λ) + Slm sin(m, λ)) (6)

We can express changes in the potential as changes in equivalent water mass:

∆σ(ϑ, λ) =RρE

3

∞∑l=0

l∑m=0

(2l + 11 + kl

)Plm(cos ϑ)(∆Clm cos(m, λ) + ∆Slm sin(m, λ)) (7)

I ρE is the average density of the solid Earth; kl are the load love numbersI this equation accounts for change due to the added surface density assuming a rigid

Earth, as well as the resultant elastic yielding of the Earth that tends to counteractthe additional surface density

Background 11 / 27

Satellite Gravimetry

r

I keyrequirements: uninturrupted trackingin 3-D; measure or compensatefor non-gravitation forces; low orbit

I early studiestreated a satellite as a test mass infree fall in Earth’s gravitational field

I however,satellite motion is determinedby gravitation but is also disturbedby non-gravitational surface forces

I recall: attenuation is aninverse function of satellite altitude(recall

(Rr

)l+1 term in geopotential)I goal: measure higher order terms in

the geopotential to offset attenuation

Background 12 / 27

CHAMP

Challengin Minisatellite Payload (CHAMP)

I launched July 2000; altitude 450 kmI HIGH-LOW mode: one Low-Earth

Orbiter receives positioninginformation from GPS constellation

I a single accelerometer measuresfirst derivative of geopotential(

∂V∂x = ax ;

∂V∂y = ay ;

∂V∂z = az

)

Background 13 / 27

GRACE

I The Gravity Recovery and Climate Experiment(GRACE) was launched March 2002

I two satellites in LowEarth Orbit (500 km) separated by 220 km

I GRACEconcept: a one-dimensional gradiometerwith a very long baseline

(∂2V∂x2 = a2x − a1x

)

Background 14 / 27

GOCE

I The European Space Agency launchedthe Gravity field and steady-state OceanCirculation Explorer (GOCE) March 2009

I a single Low EarthOrbit (250 km) satellite with aerodynamicdesign to minimize atmospheric drag

I equipped with a 3-dimensional gradiometerto measure all components of geopotentialvariations over very short (50 cm) baselines

∂2V∂x2 = a2x − a1x ;

∂2V∂y2 = a2y − a1y ;

∂2V∂z2 = a2z − a1z

Background 15 / 27

Processing GRACE

I The position of an orbiting body is defined by a series of orbital elements describingthe shape of an ellipse (semimajor axis, eccentricity, inclination, etc.)

a = 2a2

b

√ aGM

(eS sin v + p

r T)

e = ba

√ aGM

[S sin v +

( r+pr cos v + er

p

)T

]. . .

I Perturbations in these orbital elements occur due to small variations in thegeopotential, and also due to non-gravitational surface forces

I components of the orbital elements are measured and expressed as perturbations tothe Stokes coefficients in the geopotential equation

V (r , ϑ, λ) = GMr

∞∑l=0

( Rr

)l+1 l∑m=0

Plm(sin ϑ)(Clm cos(m, λ) + Slm sin(m, λ))

I The direct measure of orbital elements above comprise the GRACE level 1 product.The GRACE Level 2 product is a series of Clm and Slm to degree/order 120.

Background 16 / 27

Two primary GRACE processing techniques

Spherical HarmonicsI begin

with the GRACE Level 2 productI calculate changes

in the geoid/surface mass densityI mask out the

region of interest and apply spatialand temporal smoothing algorithms

masconsI begin with the GRACE Level

1 product (KBRR observations)I process

only those data collected over regionof interest (short-arc data reduction)

I estimate the effects of the staticgravity field on orbital parameters

I compare thiswith the observed orbital changes

I residual is the time variable gravitycomponent of interest

Background 17 / 27

spherical harmonic solution procedure

Gibbs

Phenomenon

I use of an exactaveraging kernel results in “ringing”at the kernel boundaries. Thisis addressed using an approximate(e.g. Gaussian) averaging kernel.

I smoothingis also necessary due to errorsat orbit resonal orders 15 and 16

Background 18 / 27

mascon solution procedure

Recall:

∆σ(ϑ, λ) =RρE

3

∞∑l=0

l∑m=0

(2l + 11 + kl

)Plm(cos ϑ)(∆Clm cos(m, λ) + ∆Slm sin(m, λ)) (8)

Now solve for the delta Stokes Coefficients:

Earth

add uniform layer of 1 cm water

Background 19 / 27

mascon solution procedure

Orbital Model (express

gravity as satellite obs)

GRACE Level 1 KBRR

ObservationsTime-variable gravity:

all non-glacier sources

of mass change

Best estimate

of static gravity

�eld

Stokes coe�cients

models/observations

Orbital Model

Background 20 / 27

mascon solution procedure

scale factors on the set of di�erential

Stokes coe�cients for each mascon

Background 21 / 27

correcting GRACE for non-glacier sources of mass change

current g

laci

er

LIA glacier extent

Earth crust

Earth mantle

Viscous mantle response

to glacier unloading

seasonal snowpack

groundwater storage

atmospheric pressure

snowfall

vegetation

ocean

tides

Earth tides

accumulation

ablation/calving

Background 22 / 27

glaciological interpretation of GRACE time series

Latest mascon solution for all Alaska/NW Canada glaciers

2003 2004 2005 2006 2007 2008 2009 2010-300

-200

-100

0

100

200

300

400

Year

Cu

mu

lati

ve m

ass b

ala

nce (

Gt) A = (Bs + Bw )/ 2

B = Bcumul/∆t

Background 23 / 27

Comparing GRACE with other glaciological datasets

140°W

140°W

145°W

145°W

62°N 62°N

61°N 61°N

60°N 60°N

59°N 59°N

58°N 58°N

StudyArea

Alaska Yukon

Territory

6 7

10

I recall the fundamental limitationson GRACE resolution: higherdegree terms become attenuatedso solutions are truncated.

I the spatial scale associated with aparticular Stokes coefficient is about20,000 km divided by its angulardegree l . So for l 5 100, the lengthscales are about 200 km or larger

I comparisonwith individual glaciers only valid ifthat glacier represents a larger region

I problem with masconregional comparisons: transferof glacier mass between mascons

Background 24 / 27

Background 25 / 27

GRACE validation in Alaska

Background 26 / 27

Summary

I there are numerous ways to convert satellite gravimetry data to Earth mass changesI regardless of the method, it is important to take care of local and global gravitation

effects not associated with the geophysical parameter you are studyingI trend analysis of short duration GRACE data series can be problematic, especially

when fitting is done over non-integer numbers of yearsI GRACE has a fundamental spatial resolution limited by its orbital altitude, therefore

regional analysis is more accurate than smaller scale analysis

Background 27 / 27