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2019-20 Honours project - Sea level fingerprints associated with future land ice melting

We utilize the sea level fingerprint module - ISSM’s Solid Earth and Sea level Adjustment Workbench (ISSM-SESAW), developed by NASA/Jet Propulsion Laboratory (JPL), to provide high-resolution sea level fingerprints in response to future polar ice sheet mass changes in the 21st century under the Representative Concentration Pathway (RCP) 4.5 and 8.5 scenarios. We also explore the sensitivity of sea level fingerprints to different 1-D elastic Earth models and the spatial resolution at which mass change of polar ice sheets is resolved. Furthermore, sea level contributions by individual polar ice sheet basins in the 21st century are also estimated for some coastal cities of interest (e.g., Perth) in this research.

Simple

Identification info

Date (Creation)
2020-08-27

Principal investigator

Institute for Marine and Antarctic Studies (IMAS), University of Tasmania (UTAS) - Zhang, Shujing
IMAS - Hobart
Private Bag 129
Hobart
Tasmania
7001
Australia

Principal investigator

School of Technology, Environments and Design, University of Tasmania (UTAS) - King, Matt
Private Bag 50
Hobart
Tasmania
7001
Australia
ORCID ID >

Principal investigator

CSIRO Oceans and Atmosphere - Zhang, Xuebin
GPO Box 1538
Hobart
Tasmania
7001
Australia
ORCID ID >

Credit
IMAS Honours Student Program 2019-2020
Status
Completed

Point of contact

Institute for Marine and Antarctic Studies (IMAS), University of Tasmania (UTAS) - Zhang, Shujing
IMAS - Hobart
Private Bag 129
Hobart
Tasmania
7001
Australia
+61452609879

Point of contact

School of Technology, Environments and Design, University of Tasmania (UTAS) - King, Matt
Private Bag 50
Hobart
Tasmania
7001
Australia
+61362261974
ORCID ID >

Topic category
  • Oceans

Extent

N
S
E
W


Temporal extent

Time period
2020-08-27 2020-08-27
Maintenance and update frequency
Not planned
NASA/GCMD Keywords, Version 8.5
  • EARTH SCIENCE | CLIMATE INDICATORS | ATMOSPHERIC/OCEAN INDICATORS | SEA LEVEL RISE
  • EARTH SCIENCE | CLIMATE INDICATORS | CRYOSPHERIC INDICATORS | GLACIAL MEASUREMENTS | GLACIER/ICE SHEET THICKNESS
  • EARTH SCIENCE | SOLID EARTH | GEOMORPHIC LANDFORMS/PROCESSES | COASTAL PROCESSES | SEA LEVEL CHANGE
  • EARTH SCIENCE | SOLID EARTH
Australian and New Zealand Standard Research Classification (ANZSRC): Fields of Research
  • Glaciology
  • Physical Oceanography

Resource constraints

Classification
Unclassified

Resource constraints

Use limitation
The data described in this record are the intellectual property of the University of Tasmania through the Institute for Marine and Antarctic Studies.

Resource constraints

Linkage
http://i.creativecommons.org/l/by/4.0/88x31.png

License Graphic

Title
Creative Commons Attribution 4.0 International License


>

Website
http://creativecommons.org/licenses/by/4.0/

License Text

Other constraints
The citation in a list of references is: citation author name/s (year metadata published), metadata title. Citation author organisation/s. File identifier and Data accessed at (add http link).
Language
English
Character encoding
UTF8

Distribution Information

Distribution format
  • NetCDF, TXT

OnLine resource
DATA ACCESS - Sea level fingerprints data [explore all files]

OnLine resource
THESIS - Sea level fingerprints associated with future land ice melting [PDF direct download]

Resource lineage

Statement
1. Validation of ISSM-SESAW computation A) Using monthly land water storage change for the period April 2002 to August 2016 from GRACE data (Adhikari et al., 2019), we derived associated monthly relative sea level change by ISSM. Then we derived a linear trend over the period. B) Under the assumption that ice over the GrIS and AIS melts uniformly, we computed the associated relative sea level chages using ISSM. We normalized them by the barystatic sea level change and denoted them as normalized sea level fingerprints. 2. Resolution test We prepared five unstructured meshes which have incremental spatial resolutions (i.e., 100 km, 50 km, 25 km ,10 km, 5 km) for each of the GrIS and AIS domains, respectively. We then computed sea level fingerprints using each of them in turn, forced by high-resolution ice sheet mass changes. Here we chose the high-resolution projections of ice thickness change over the GrIS (2.5 km) and AIS (5 km) in 2100 compared to 2000 under the RCP8.5 scenario (Golledge et al., 2019). Finally, we scaled the sea level fingerprints by the barystatic sea level change (i.e., normalized sea level fingerprints). 3. Sensitivity test to 1-D elastic Earth models We computed sea level fingerprints in response to uniform thinning of the GrIS and AIS with three 1-D elastic Earth models: PREM, ak135 and iasp91 (Wang et al., 2012) respectively. 4. Future sea level fingerprints associated with polar ice sheets melting We adopted PREM 1-D elastic Earth model and the optimal ISSM mesh (i.e., 10 km resolution for the GrIS and AIS domains) to compute high resolution sea level fingerprints in response to every 5-year ice thickness change over individual polar ice sheets in the 21st century under the RCP4.5 and RCP8.5 scenarios (Golledge et al., 2019). Then we derived a linear trend over the period. 5. Kernel-based sea level projections We used kernel-based sea level projection to provide sea level contributions in the 21st century from each basin over GrIS and AIS for ten selected coastal cities globally under the RCP4.5 and RCP8.5 scenarios. In kernel-based sea level projections, we combined future ice thickness changes (Golledge et al., 2019) and site-specific sea level sensitivity kernels (Mitrovica et al., 2018) to derive local sea level contributions from each drainage basin. References: Adhikari, S., Ivins, E. R., Frederikse, T., Landerer, F. W. and Caron, L. (2019) 'Sea-level fingerprints emergent from GRACE mission data', Earth Syst. Sci. Data, 11(2), pp. 629-646. Golledge, N. R., Keller, E. D., Gomez, N., Naughten, K. A., Bernales, J., Trusel, L. D. and Edwards, T. L. (2019) 'Global environmental consequences of twenty-first-century icesheet melt', Nature, 566(7742), pp. 65-72. Mitrovica, J. X., Hay, C. C., Kopp, R. E., Harig, C. and Latychev, K. (2018) 'Quantifying the Sensitivity of Sea Level Change in Coastal Localities to the Geometry of Polar Ice MassFlux', Journal of Climate, 31(9), pp. 3701-3709 Wang, H., Xiang, L., Jia, L., Jiang, L., Wang, Z., Hu, B. and Gao, P. (2012) 'Load Love numbers and Green's functions for elastic Earth models PREM, iasp91, ak135, and modifiedmodels with refined crustal structure from Crust 2.0', Computers & Geosciences, 49, pp. 190-199.
Hierarchy level
Dataset

Metadata

Metadata identifier
5a2a7cd8-f91a-4a05-9e1d-290873d22279

Language
English
Character encoding
UTF8

Point of contact

Institute for Marine and Antarctic Studies (IMAS), University of Tasmania (UTAS) - IMAS Data Manager

Type of resource

Resource scope
Dataset
Metadata linkage
https://metadata.imas.utas.edu.au/geonetwork/srv/eng/catalog.search#/metadata/5a2a7cd8-f91a-4a05-9e1d-290873d22279

Point of truth URL of this metadata record

Date info (Creation)
2020-09-04T15:22:39
Date info (Revision)
2020-09-04T15:22:39

Metadata standard

Title
ISO 19115-3:2018
 
 

Overviews

Spatial extent

N
S
E
W


Keywords

NASA/GCMD Keywords, Version 8.5
EARTH SCIENCE | CLIMATE INDICATORS | ATMOSPHERIC/OCEAN INDICATORS | SEA LEVEL RISE EARTH SCIENCE | CLIMATE INDICATORS | CRYOSPHERIC INDICATORS | GLACIAL MEASUREMENTS | GLACIER/ICE SHEET THICKNESS EARTH SCIENCE | SOLID EARTH EARTH SCIENCE | SOLID EARTH | GEOMORPHIC LANDFORMS/PROCESSES | COASTAL PROCESSES | SEA LEVEL CHANGE

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