Groundwater for Sustainable Development, Journal Year: 2025, Volume and Issue: unknown, P. 101453 - 101453
Published: May 1, 2025
Language: Английский
Groundwater for Sustainable Development, Journal Year: 2025, Volume and Issue: unknown, P. 101453 - 101453
Published: May 1, 2025
Language: Английский
Folia Geobotanica, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 28, 2025
Language: Английский
Citations
0Journal of Atmospheric and Solar-Terrestrial Physics, Journal Year: 2025, Volume and Issue: unknown, P. 106514 - 106514
Published: April 1, 2025
Language: Английский
Citations
0Atmosphere, Journal Year: 2025, Volume and Issue: 16(4), P. 465 - 465
Published: April 17, 2025
Drought affects the agricultural sector, posing challenges for farm management, particularly among medium- and small-scale producers. This study uses climate data from remote sensing products to evaluate drought trends in Semear Digital Center’s Agrotechnological Districts (DATs), which are characterized by a high concentration of small- medium-sized farms Brazil. Precipitation Climate Hazards Group InfraRed with Station (CHIRPS) land surface temperature Moderate Resolution Imaging Spectroradiometer (MODIS) were applied calculate Standardized Precipitation–Evapotranspiration Index (SPEI) 6-month timescale 2000 2024, analysis divided into 2000–2012 2013–2024. Some limitations noted: MODIS systematically underestimated temperatures, while CHIRPS tended underestimate precipitation most DATs. Despite discrepancies, these datasets remain valuable monitoring areas where long-term ground weather station lacking SPEI assessments. Agricultural frequency severity increased 2013–2024 period. Exceptional, extreme, severe, moderate events rose 7.3, 5.4, 2.2 1.0 times, respectively. These highlight importance adopting smart farming technologies enhance resilience DATs change.
Language: Английский
Citations
0AGU Advances, Journal Year: 2025, Volume and Issue: 6(2)
Published: April 1, 2025
Abstract The Amazon has experienced extensive deforestation in recent decades, causing substantial impacts on local and regional climate. However, the precipitation response to this forest cover change remains unclear. Here, we examined biophysical effects of Brazilian dry season using a coupled climate model with embedded water vapor tracers. We find that 3.2% mean reduction occurred Rondônia Mato Grosso during 2002–2015 caused 3.5 ± 0.8% evapotranspiration 5.4 4.4% precipitation. warmed dried lower atmosphere reducing convection Reductions incoming moisture, dominated by reduced moisture inflow mid‐troposphere, accounted for 25% total amplified loss. efficiency explains 84.5% remainder due reductions precipitable water. sourced from accounts 76.9% simulated reduction, remaining 23.1% evapotranspiration. Our study demonstrates Amazon, highlighting importance atmospheric responses land region.
Language: Английский
Citations
0Groundwater for Sustainable Development, Journal Year: 2025, Volume and Issue: unknown, P. 101453 - 101453
Published: May 1, 2025
Language: Английский
Citations
0