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  Water variability dictates critical precipitation for the Amazon forest based on LPJmL model

Nian, D., Sakschewski, B., Drüke, M., Bathiany, S., Blaschke, L., Ben-Yami, M., Boers, N. (2023): Water variability dictates critical precipitation for the Amazon forest based on LPJmL model.
https://doi.org/10.5281/zenodo.8297598

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Item Permalink: https://publications.pik-potsdam.de/pubman/item/item_28688 Version Permalink: https://publications.pik-potsdam.de/pubman/item/item_28688_1
Genre: Data Publication

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 Creators:
Nian, Da1, Author              
Sakschewski, Boris1, Author              
Drüke, Markus1, Author              
Bathiany, Sebastian2, Author
Blaschke, Lana1, Author              
Ben-Yami, Maya1, Author              
Boers, Niklas1, Author              
Affiliations:
1Potsdam Institute for Climate Impact Research, ou_persistent13              
2External Organizations, ou_persistent22              

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Free keywords: -
 Abstract: Data for the publication "Water variability dictates critical precipitation for the Amazon forest based on LPJmL model" by Nian et al.

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Language(s): eng - English
 Dates: 2023-082023-08
 Publication Status: Finally published
 Pages: -
 Publishing info: Geneva : CERN / Zenodo
 Table of Contents: -
 Rev. Type: Internal
 Identifiers: DOI: 10.5281/zenodo.8297598
MDB-ID: No MDB - stored outside PIK (see DOI)
PIKDOMAIN: RD1 - Earth System Analysis
Organisational keyword: RD1 - Earth System Analysis
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
 Degree: -

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