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

Nian, Da; Sakschewski, Boris; Drüke, Markus; Bathiany, Sebastian; Blaschke, Lana; Ben-Yami, Maya; Boers, Niklas

doi:10.5281/zenodo.8297598

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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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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: Published Online: 2023-08Finally published : 2023-08

Publication Status: Finally published

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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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