Time-variable Gravity Measurements from the GRACE Mission and

Time-variable Gravity
Measurements from the GRACE
Mission and Applications
Pavel Ditmar
Department of Geoscience and Remote Sensing
Delft University of Technology
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GRACE Mission Overview
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“X-raying” of the Earth: how to look
inside the Earth from space?
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Measurement principle of satellite
gravimetry
M
Newton's law of universal
gravitation:
F
Newton's 2nd law:
a
Equation of motion:
x
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GRACE Satellite
Mission
• Agencies: NASA, DLR
• Launch date: March 17, 2002
• Initial altitude: ≈ 500 km
(C) http://www.csr.utexas.edu
• Satellite-to-satellite distance: ≈ 200 km
• Primary sensor: K-Band Ranging (KBR) system
• Inter-satellite ranging accuracy: ≈ 10-6 m
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Major strong points and limitations
of the GRACE mission
Strong points:
Limitations:
• Directly senses mass
variations themselves
• Temporal resolution is
about 1 month
• Senses mass re-distribution
at any depth
• Horizontal spatial
resolution is 200 – 500
km (depending, among
other, on temporal scale)
• Sensitivity to meteorological
conditions is limited
• No vertical resolution
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Observation of mass re-distribution
of various origins with GRACE
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Hydrological applications
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GRACE and hydrology: water balance
∆S (Storage change) =
P (Precipitation) –
ET (Evapotranspiration) –
R (Runoff)
http://www.hinchingbrookeschool.co.uk/geography/images/hydrologic-cycle-big.jpg
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Comparison of total water stock
variations in Amazon river basin
GRACE-based estimate vs. hydrological model PCR-GLOBWB
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Assimilation of GRACE data into a hydrological
model: case study in the Rhine River basin
• Hydrological model: Openstreams HBV-96
• Two variants of hydrological modelling:
• Local forcing data (E-OBS)
• Global forcing data (Princeton
global meteorological dataset)
A319C*
• GRACE product: CSR-RL05 (postprocessed with empirically defined filters)
• Results are validated against in-situ well
measurements at 18 locations
*
Station full name: 02348X0009/319C
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Assimilation of GRACE data into a hydrological
model: groundwater time-series at A319C station
Local forcing data
Global forcing data
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Assimilation of GRACE data into a hydrological
model: statistics over 18 locations
Average correlation
coefficients
Local
forcing data
Global
forcing data
Average RMS
differences
Local
forcing data
Global
forcing data
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Usage of GRACE data to detect longterm anthropogenic mass trends
Irrigated area in
SE Turkey
(GAP project)
Irrigated area NE
of Buraydah (SA)
Irrigated area in
the Tigris river
basis (Iraq)
Disappearing
Bakhtegan and
Tashk Lakes
(Iran)
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Ice sheet studies
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Shrinking of Arctic glaciers in 2003–2008
observed with GRACE (DMT-2 model)
Alaskan
Glaciers
Glaciers in
the Canadian
Arctic
Archipelago
Novaya Zemlya
Svalbard
(Spitsbergen)
Jakobshavn
Glacier
Iceland
Kangerdlugssuaq
Glacier
Equivalent water heights (cm/yr)
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Shrinking of Greenland Ice Sheet:
long-term mass trend (2003-2013)
2003
CSR
RL05
~ 270 Gt/yr
m/yr
(EWH)
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Shrinking of Greenland Ice Sheet: time
series (2003-2013)
Mass loss
acceleration:
-13 Gt/yr2 (CSR)
-14 Gt/yr2 (GFZ)
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Mass and volume trends in Antarctic
in 2002 – 2009
Mass trend (GRACE, CSR RL05)
Volume trend (ICESat)
(EWH)
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Gunter et al. (2013, TCD)
Mass trends in Antarctic: Ice vs. solid Earth
snow
snow
iceice iceice
snow
snow
GIA
GIA



M


V



V




M


V



V



observed

snow
GIA
iceice
snow
pre-defined

V


V


V
 V  V  V

Ice mass trend
(-146 Gt/yr in 2003 – 2013)
GIA mass trend (64 Gt/yr)
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Gunter et al. (2013, TCD)
Shrinking of Antarctic Ice Sheet in
2002-2013
Mass loss
acceleration:
-5.3 Gt/yr2 (CSR)
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Mass change trends in 2003-2010:
an overview (Jacob et al, 2012)
Region
Rate (Gt/yr)
Iceland
-11 ± 2
Svalbard
-3 ± 2
Novaya Zemlya
-4 ± 2
Alaska
-46 ± 7
Buffin Island (Canada)
-33 ± 5
Other glaciers in the Canadian Arctic
Archipelago
-34 ± 6
Greenland
-222 ± 9
Antarctica
-165 ± 72
...
Total
-536 ± 93
Total in terms of global sea level rise
1.5 ± 0.3
mm/yr
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Global sea level rise in the 21st
century: IPCC AR5 projections
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GRACE mission:
current status and outlook
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Gaps in GRACE data during long-eclipse
periods due to battery degradation
Year
2011
2012
2013
2014
Data gaps
Jan-01 to Feb-06
Jun-01 to Jul-06
Nov-17 to Dec-12
Apr-20 to May-31
Sep-26 to Nov-05
Duration (days)
37
36
26
42
41
Feb-27 to April-10
Aug-05 to Sep-24
Jan-18 to Feb-22
43
51
36
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GRACE mission: orbit decay
Semi-Major Axis (prediction as of 30.09.2011)
Semi-Major Axis (actual)
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http://www.csr.utexas.edu/grace/
GRACE Follow-On
(GFO) Mission
• Agency: NASA
• Expected launch date: Aug. 2017
• Mission set-up: similar to that of GRACE
• Primary sensor: K-Band Ranging (KBR) system
(≈ 10-6 m precision)
• Experimental sensor: laser interferometer of
nanometre-level ranging precision
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Conclusions
• Satellite gravimetry mission GRACE is an important
instrument to monitor mass re-distribution in the
Earth system. GRACE delivers unique information that
cannot be acquired by other remote sensing
techniques
• GRACE data are particularly valuable at large spatial
scales and temporal scales
• Value of satellite gravimetry will increase, as new
missions are launched and their accuracy improves
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Acknowledgements
The author thanks colleagues from the TU Delft for
providing a contribution to the presentation:
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Hassan Hashemi Farahani
Olga Didova
Sun Yu
Roland Klees
Natthachet Tangdamrongsub
Susan Steele-Dunne
Brian Gunter
Reinier Oost
Riccardo Riva
Jiangjun Ran
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