Causal pathway from AMOC to Southern Amazon rainforest time series data

Högner, A. ORCID: https://orcid.org/0000-0002-4178-9664 & Wunderling, N. (2025). Causal pathway from AMOC to Southern Amazon rainforest time series data. 10.5281/zenodo.14726514.

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Abstract

Data supporting the research paper "Causal pathway from AMOC to Southern Amazon rainforest indicates stabilising interaction between two climate tipping elements"

The precipitation, wind, and SST-based indices are constructed from ERA5 reanalysis data (Hersbach et al 2020), provided by the European Centre for Medium-Range Weather Forecasts (ECMWF). The AR vegetation index is derived from the Global Inventory Modeling and Mapping Studies-3rd Generation V1.2 (GIMMS-3G+) satellite dataset (Pinzon et al 2023) that provides NDVI data in bi-weekly resolution. For sensitivity tests, we also construct the AMOC index using COBE-SST2 (Hirahara et al 2014), HadCRUT5 (Morice et al 2021), HadSST4 (Kennedy et al 2019), and NOAA ERSSTv5 (Huang et al 2017) SST data. For an additional precipitation index, we use data from the Global Precipitation Climatology Centre (GPCC) by the Deutscher Wetterdienst (DWD). This is an in-situ reanalysis dataset of global land-surface precipitation from 1981–2020, based on rain gauge data from about 86,000 stations world-wide (Schneider et al 2022). The South Atlantic Anticyclone (SAA) indices are taken already aggregated from Gilliand & Keim 2018, the North Atlantic Oscillation (NAO) index is taken already aggregated from Dool et al. 2000.

Item Type:	Data
Additional Information:	Creative Commons Attribution 4.0 International
Research Programs:	Energy, Climate, and Environment (ECE) Energy, Climate, and Environment (ECE) > Integrated Climate Impacts (ICI)
Depositing User:	Luke Kirwan
Date Deposited:	09 Jan 2026 09:46
Last Modified:	09 Jan 2026 09:46
URI:	https://pure.iiasa.ac.at/21166

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