TY - JOUR
T1 - Solar and Wind Energy Variability in Tropical South America: Seasonal Ocean-Atmospheric Modulators
AU - Duque-Gardeazabal, Nicolás
AU - Brönnimann, Stefan
AU - Friedman, Andrew R.
AU - Dolores-Tesillos, Edgar
AU - Martius, Olivia
N1 - Data Availability Statement:
Extended Reconstructed SST version 5 (Huang et al. 2017) is available at: https://www.ncei.noaa.gov/pub/data/cmb/ersst/v5/netcdf/. Mauna Loa CO2 concentrations are available at https://gml.noaa.gov/ccgg/trends/data.html. ECMWF ERA5 reanalysis (Hersbach et al. 2020) data are available from Copernicus Climate Data Store web portal https://cds.climate.copernicus.eu. MSWEP (Beck et al. 2019) is available at: http://www.gloh2o.org/mswep/. EUMETSAT CLARA-A3 (Karlsson et al. 2023) is available at: https://wui.cmsaf.eu/safira/action/viewProduktDetails?fid=40&eid=22277_22492.
PY - 2026/3/1
Y1 - 2026/3/1
N2 - Interannual climate variability strongly influences renewable energy availability, making it a critical factor for achieving UN Sustainable Development Goals (SDGs). However, our knowledge about the potential solar and wind energy production in tropical South America and its relation to ocean-atmospheric modes of variability is limited; modes such as El Niño/Southern Oscillation (ENSO), the Atlantic Meridional Mode (AMM), among others. Therefore, we investigate the influence of these modes on solar and wind energy. We apply partial correlations and composite analyses to reanalysis and satellite data to identify the processes connecting large-scale ocean-atmospheric variability to seasonal anomalies in renewable power generation. Our study identifies three energy hubs as regions with high climatological mean energy availability: The north Caribbean (NC), eastern Brazil (EB) and western Perú/Bolivia (WPB). ENSO influences the sea level pressure (SLP) gradients, generating wind anomalies that directly affect the wind capacity factor (CF). ENSO also affects the solar CF through reduced atmospheric moisture transport and convergence, which results in fewer clouds leading to higher-than-average surface radiation or by atmospheric subsidence. ENSO impacts the NC and EB hubs, with weaker effects in the WPB hub. The AMM is associated with cross-equatorial wind anomalies that modulate wind CF, as well as moisture convergence and cloud cover, thereby influencing solar CF. Wind CF in the NC and EB hubs is inversely modulated by the AMM, weakening winds and reducing radiation over the NC and strengthening winds and increasing radiation on the EB. The Atlantic equatorial El Niño mode (Atl3) exerts minor effects, with anomalies confined to the equatorial Atlantic. Overall, we find limited complementarity between solar and wind energy at interannual time-scale. Our results provide insights for forecasting energy production and managing energy storage for periods of low renewable energy availability.
AB - Interannual climate variability strongly influences renewable energy availability, making it a critical factor for achieving UN Sustainable Development Goals (SDGs). However, our knowledge about the potential solar and wind energy production in tropical South America and its relation to ocean-atmospheric modes of variability is limited; modes such as El Niño/Southern Oscillation (ENSO), the Atlantic Meridional Mode (AMM), among others. Therefore, we investigate the influence of these modes on solar and wind energy. We apply partial correlations and composite analyses to reanalysis and satellite data to identify the processes connecting large-scale ocean-atmospheric variability to seasonal anomalies in renewable power generation. Our study identifies three energy hubs as regions with high climatological mean energy availability: The north Caribbean (NC), eastern Brazil (EB) and western Perú/Bolivia (WPB). ENSO influences the sea level pressure (SLP) gradients, generating wind anomalies that directly affect the wind capacity factor (CF). ENSO also affects the solar CF through reduced atmospheric moisture transport and convergence, which results in fewer clouds leading to higher-than-average surface radiation or by atmospheric subsidence. ENSO impacts the NC and EB hubs, with weaker effects in the WPB hub. The AMM is associated with cross-equatorial wind anomalies that modulate wind CF, as well as moisture convergence and cloud cover, thereby influencing solar CF. Wind CF in the NC and EB hubs is inversely modulated by the AMM, weakening winds and reducing radiation over the NC and strengthening winds and increasing radiation on the EB. The Atlantic equatorial El Niño mode (Atl3) exerts minor effects, with anomalies confined to the equatorial Atlantic. Overall, we find limited complementarity between solar and wind energy at interannual time-scale. Our results provide insights for forecasting energy production and managing energy storage for periods of low renewable energy availability.
KW - climate oscillations
KW - electricity
KW - moisture convergence
KW - moisture flux
KW - renewable energy
KW - solar energy
U2 - 10.1002/met.70165
DO - 10.1002/met.70165
M3 - Article
AN - SCOPUS:105031442675
SN - 1350-4827
VL - 33
JO - Meteorological Applications
JF - Meteorological Applications
IS - 2
M1 - e70165
ER -