Amazon windthrow disturbances are likely to increase with storm frequency under global warming: Data and Codes
- University of California Berkeley; Lawrence Berkeley National Lab
- Lawrence Berkeley National Laboratory
This zipfile includes datasets and codes that were used to produce the results in the paper entitled Amazon windthrow disturbances are likely to increase with storm frequency under global warming. Datasets include: 1. Windthrow density across the entire Amazon - GIS shapefile format 2. Current ERA 5 mean afternoon convective available potential energy (CAPE) (1990-2019) - Remote Sensing TIFF format 3. Estimated future mean CAPE from 10 models in CMIP 6 (2070-2099) - Remote Sensing TIFF format 4. Python codes in jupyter notebook and processed datasets used to generate Fig.2a and Table 1 in the paper. You will need to use Jupyter Notebook and Python for accessing and reading the codes. Please contact Yanlei Feng (ylfeng@berkeley.edu) for any questions. Paper associated with this dataset: Feng, Y., Negrón-Juárez, R.I., Romps, D.M. and Chambers, J.Q., 2023. Amazon windthrow disturbances are likely to increase with storm frequency under global warming. Nature communications, 14(1), p.101.
- Research Organization:
- Next-Generation Ecosystem Experiments Tropics; University of California, Berkeley
- Sponsoring Organization:
- University of California Berkeley, Lawerence Berkeley National Lab
- DOE Contract Number:
- AC02-05CH11231
- OSTI ID:
- 1883604
- Report Number(s):
- NGT0190
- Country of Publication:
- United States
- Language:
- English
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Amazon windthrow disturbances are likely to increase with storm frequency under global warming
Journal Article
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Thu Jan 05 23:00:00 EST 2023
· Nature Communications
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OSTI ID:1908022