Simulating Energy Balance Dynamics to Support Sustainability in a Seasonally Dry Tropical Forest in Semi-Arid Northeast Brazil

• Published in: Sustainability Vol. 17; no. 12; p. 5350
• Main Authors: Ferreira, Rosaria R., Mendes, Keila R., Oliveira, Pablo E. S., Mutti, Pedro R., Moreira, Demerval S., Antonino, Antonio C. D., Menezes, Rômulo S. C., Lima, José Romualdo S., Araújo, João M., Amorim, Valéria L., Espinoza, Nikolai S., Bezerra, Bergson G., Santos e Silva, Cláudio M., Costa, Gabriel B.
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.06.2025
• Subjects: Arid regions; Atmosphere; Biodiversity; Carbon; Climate change; Desertification; Ecosystems; Energy; Energy development; Environmental aspects; Environmental sustainability; Forests; Heat; Humidity; Natural history; Natural resources; Precipitation; Radiation; Remote sensing; Simulation; Sustainability; Tropical dry forests; Vegetation; Water shortages; Brazil
• ISSN: 2071-1050; 2071-1050
• DOI: 10.3390/su17125350

In semi-arid regions, seasonally dry tropical forests are essential for regulating the surface energy balance, which can be analyzed by examining air heating processes and water availability control. The objective of this study was to evaluate the ability of the Brazilian Developments on the Regional Atmospheric Modelling System (BRAMS) model in simulating the seasonal variations of the energy balance components of the Caatinga biome. The surface measurements of meteorological variables, including air temperature and relative humidity, were also examined. To validate the model, we used data collected in situ using an eddy covariance system. In this work, we used the BRAMS model version 5.3 associated with the Joint UK Land Environment Simulator (JULES) version 3.0. The model satisfactorily represented the rainfall regime over the northeast region of Brazil (NEB) during the wet period. In the dry period, however, the coastal rainfall pattern over the NEB region was underestimated. In addition, the results showed that the surface fluxes linked to the energy balance in the Caatinga were impacted by the effects of rainfall seasonality in the region. The assessment of the BRAMS model’s performance demonstrated that it is a reliable tool for studying the dynamics of the dry forest in the region, providing valuable support for sustainable management and conservation efforts.