Feng Y; Negron-Juarez R; Romps D; Chambers J
Model output; Remote sensing
Jan. 1, 1990
Dec. 31, 2019
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.
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 ([email protected]) 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.
Windthrow density: We created a 2.5 by 2.5 grids map, and the windthrow density was calculated by counting the number of windthrows in each grid. These values were then converted to a density with units of counts of windthrows per 10,000 km2. We chose 2.5 degrees to aggregate the data to make sure that over 50% of grids have at least 1 windthrow events while still preserving the spatial distribution of mean afternoon CAPE over the Amazon.
ERA 5 mean CAPE 1990-2019: we used ERA 5 global reanalysis hourly CAPE on single levels from 1979 to present at 0.25° 0.25° resolution provided by the European Center for Medium-Range Weather Forecasts. Afternoon mean CAPE map was calculated as the average of hourly CAPE data from 17:00 – 23:00 UTC (13:00-19:00 local time in Amazon) over all the months between 1990 and 2019.
Estimated future mean CAPE from 10 models in CMIP 6 2070-2099: We extracted daily surface temperature (tas), specific humidity (huss), surface pressure (ps), temperature (ta) from these models to calculate daily nondilute, near-surface-based, adiabatic CAPE. CMIP 6 CAPE was calculated by considering the buoyancy of a near-surface parcel lifted adiabatically to a series of discrete pressure levels (100 kPa to 10 kPa in increments of 10 kPa).
University of California, Berkeley
University of California Berkeley, Lawerence Berkeley National Lab
Feng, Yanlei - University of California Berkeley ([email protected])
Feng Y; Negron-Juarez R; Romps D; Chambers J (2023): Amazon windthrow disturbances are likely to increase with storm frequency under global warming: Data and Codes. 1.0. NGEE Tropics Data Collection. (dataset). https://doi.org/10.15486/ngt/1883604
We acknowledge the World Climate Research Programme, which, through its Working Group on Coupled Modelling, coordinated and promoted CMIP6. We thank the climate modeling groups for producing and making available their model output, the Earth System Grid Federation (ESGF) for archiving the data and providing access, and the multiple funding agencies who support CMIP6 and ESGF.
Data Link: Download Dataset
Hersbach, H. et al. ERA5 hourly data on single levels from 1959 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). (2018) doi:10.24381/cds.adbb2d47.
Eyring, V. et al. Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization. Geosci. Model Dev. 9, 1937–1958 (2016).