Estimating global mean sea-level rise and its uncertainties by 2100 and 2300 from expert assessment (doi:10.21979/N9/JBCF2Q)

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Part 1: Document Description
Part 2: Study Description
Part 3: Data Files Description
Part 4: Variable Description
Part 5: Other Study-Related Materials
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Document Description

Citation

Title:

Estimating global mean sea-level rise and its uncertainties by 2100 and 2300 from expert assessment

Identification Number:

doi:10.21979/N9/JBCF2Q

Distributor:

DR-NTU (Data)

Date of Distribution:

2020-03-30

Version:

1

Bibliographic Citation:

Shaw, Timothy Adam; Horton, Benjamin Peter, 2020, "Estimating global mean sea-level rise and its uncertainties by 2100 and 2300 from expert assessment", https://doi.org/10.21979/N9/JBCF2Q, DR-NTU (Data), V1, UNF:6:gi+pBadty7560O3sZeGssg== [fileUNF]

Study Description

Citation

Title:

Estimating global mean sea-level rise and its uncertainties by 2100 and 2300 from expert assessment

Identification Number:

doi:10.21979/N9/JBCF2Q

Authoring Entity:

Shaw, Timothy Adam (Nanyang Technological University)

Horton, Benjamin Peter (Nanyang Technological University)

Software used in Production:

Excel

Software used in Production:

Survey monkey

Grant Number:

Academic Research Fund MOE2019-T3-1-004

Grant Number:

under the Research Centers of Excellence initiative

Grant Number:

contribution 299

Distributor:

DR-NTU (Data)

Access Authority:

Shaw, Timothy Adam

Access Authority:

Horton, Benjamin Peter

Depositor:

Shaw, Timothy Adam

Date of Deposit:

2020-03-30

Holdings Information:

https://doi.org/10.21979/N9/JBCF2Q

Study Scope

Keywords:

Earth and Environmental Sciences, Earth and Environmental Sciences, Sea level survey data

Abstract:

Raw data used in compilation of the estimating global mean sea-level rise and its uncertainties by 2100 and 2300 from expert assessment

Kind of Data:

Survey data

Methodology and Processing

Sources Statement

Data Access

Other Study Description Materials

Related Publications

Citation

Identification Number:

10.1038/s41612-020-0121-5

Bibliographic Citation:

Horton, B. P., Khan, N. S., Cahill, N., Lee, J. S. H., Shaw, T. A., Garner, A. J., . . . Rahmstorf, S. (2020). Estimating global mean sea-level rise and its uncertainties by 2100 and 2300 from an expert survey. npj Climate and Atmospheric Science, 3(1), 18.

Citation

Identification Number:

10356/143900

Bibliographic Citation:

Horton, B. P., Khan, N. S., Cahill, N., Lee, J. S. H., Shaw, T. A., Garner, A. J., . . . Rahmstorf, S. (2020). Estimating global mean sea-level rise and its uncertainties by 2100 and 2300 from an expert survey. npj Climate and Atmospheric Science, 3(1), 18-.

File Description--f22189

File: Supplementary Table 2_Ranges_By_Background.tab

  • Number of cases: 5

  • No. of variables per record: 10

  • Type of File: text/tab-separated-values

Notes:

UNF:6:gi+pBadty7560O3sZeGssg==

Variable Description

List of Variables:

Variables

CareerStage

f22189 Location:

Variable Format: character

Notes: UNF:6:QXlYR+Co/ZivTD7XtE7zBg==

n

f22189 Location:

Summary Statistics: StDev 10.816653826391969; Mean 37.0; Max. 49.0; Valid 3.0; Min. 28.0

Variable Format: numeric

Notes: UNF:6:+kQXsrilLhDHJv6Q+tz3Rg==

AD2100

f22189 Location:

Variable Format: character

Notes: UNF:6:tdY1KxdkvgP4xfCfsgBdvA==

D

f22189 Location:

Variable Format: character

Notes: UNF:6:fQT/ZBcvX25jJiEXzzR1Yg==

E

f22189 Location:

Variable Format: character

Notes: UNF:6:fYHNd7+jRit4l/gCkqeTlA==

F

f22189 Location:

Variable Format: character

Notes: UNF:6:50aCi7u19nn3CYcz87fHuA==

AD2300

f22189 Location:

Variable Format: character

Notes: UNF:6:muzxWms9b28siRCxh5Chrw==

H

f22189 Location:

Variable Format: character

Notes: UNF:6:og4L9nshnlB1MDyf6DfWWA==

I

f22189 Location:

Variable Format: character

Notes: UNF:6:Tp6cXxSwB0MV9zUvEZnwfA==

J

f22189 Location:

Variable Format: character

Notes: UNF:6:hPF9o2tmnr9CADcQ/D2r/Q==

Other Study-Related Materials

Label:

Supplementary Table 1_Sea Level survey.xlsx

Notes:

application/vnd.openxmlformats-officedocument.spreadsheetml.sheet