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With the recent increase in deforestation, forest fires, and regional temperatures, the concerns around the rapid and complete collapse of the Amazon rainforest ecosystem have heightened. The thresholds of deforestation and the temperature…

大气与海洋物理 · 物理学 2025-07-04 Adam Giammarese , Jacob Brown , Nishant Malik

The influence of forest loss on rainfall remains poorly understood. Addressing this challenge Spracklen et al. recently presented a pan-tropical study of rainfall and land-cover that showed that satellite-derived rainfall measures were…

大气与海洋物理 · 物理学 2014-04-04 Anastassia M. Makarieva , Victor G. Gorshkov , Douglas Sheil , Antonio D. Nobre , Peter Bunyard , Bai-Lian Li

The Amazon rainforests have been suffering widespread damage, both via natural and artificial means. Every minute, it is estimated that the world loses forest cover the size of 48 football fields. Deforestation in the Amazon rainforest has…

计算机视觉与模式识别 · 计算机科学 2018-09-05 Somnath Rakshit , Soumyadeep Debnath , Dhiman Mondal

Global warming is projected to intensify the hydrological cycle, amplifying risks to ecosystems and society. While extreme rainfall appears to exhibit stronger sensitivity to global warming compared to mean rainfall rates, a unifying…

大气与海洋物理 · 物理学 2026-01-13 Jun Yin , Bei Gao , Amilcare Porporato

Climate models robustly imply that some significant change in precipitation patterns will occur. Models consistently project that the intensity of individual precipitation events increases by approximately 6-7%/K, following the increase in…

应用统计 · 统计学 2016-12-21 Won Chang , Michael L. Stein , Jiali Wang , V. Rao Kotamarthi , Elisabeth J. Moyer

The Amazon rain forest is a vital ecosystem that plays a crucial role in regulating the Earth's climate and providing habitat for countless species. Deforestation in the Amazon is a major concern as it has a significant impact on global…

计算机视觉与模式识别 · 计算机科学 2025-09-18 Nathalie Neptune , Josiane Mothe

The terrestrial water cycle links the soil and atmosphere moisture reservoirs through four fluxes: precipitation, evaporation, runoff, and atmospheric moisture convergence (net import of water vapor to balance runoff). Each of these…

In many drylands around the globe, vegetation self-organizes into regular spatial patterns in response to aridity stress. We consider the regularly-spaced vegetation bands, on gentle hill-slopes, that survive low rainfall conditions by…

斑图形成与孤子 · 物理学 2025-05-07 Punit Gandhi , Matthew Oline , Mary Silber

In this paper, we discuss the impact of a rain forest canopy on the statistical characteristics of atmospheric turbulence. This issue is of particular interest for understanding on how the Amazon terrestrial biosphere interact with the…

大气与海洋物理 · 物理学 2009-11-10 Fernando M. Ramos , Mauricio J. A. Bolzan , Leonardo D. A. Sa , Reinaldo R. Rosa

The Amazon rainforest and the AMOC are considered to be tipping elements: they are important components of the Earth system, but may collapse under climate change. Moreover, an AMOC collapse may favor the transition of the rainforest to a…

大气与海洋物理 · 物理学 2026-02-06 Valérian Jacques-Dumas , Henk A. Dijkstra

Short-term (0-24 hours) precipitation forecasting is highly valuable to socioeconomic activities and public safety. However, the highly complex evolution patterns of precipitation events, the extreme imbalance between precipitation and…

机器学习 · 计算机科学 2026-03-30 Shuangliang Li , Siwei Li , Li Li , Weijie Zou , Jie Yang , Maolin Zhang

We develop a model for investigating the impact of rainstorm variability on the formation of banded vegetation patterns in dryland ecosystems. Water input, during rare rainstorms, is modeled as an instantaneous kick to the soil water. The…

斑图形成与孤子 · 物理学 2023-06-16 Punit Gandhi , Lily Liu , Mary Silber

The Amazon rainforest is considered one of the Earth's tipping elements and may lose stability under ongoing climate change. Recently a decrease in tropical rainforest resilience has been identified globally from remotely sensed vegetation…

Rain precipitation prediction is a challenging task as it depends on weather and meteorological features which vary from location to location. As a result, a prediction model that performs well at one location does not perform well at other…

From infiltration of water into the soil during rainstorms to seasonal plant growth and death, the ecohydrological processes that are thought to be relevant to the formation of banded vegetation patterns in drylands occur across multiple…

斑图形成与孤子 · 物理学 2020-06-24 Punit Gandhi , Sara Bonetti , Sarah Iams , Amilcare Porporato , Mary Silber

The Amazon rainforest is considered one of the core tipping elements in the climate system with a potential tipping point from rainforest to savannah between 2 and 6 {\deg}C of global warming. However, ongoing deforestation constitutes an…

大气与海洋物理 · 物理学 2026-05-01 Jonathan Krönke , Arie Staal , Jonathan F. Donges , Johan Rockström , Nico Wunderling

With the deterioration of climate, the phenomenon of rain-induced flooding has become frequent. To mitigate its impact, recent works adopt convolutional neural network or its variants to predict the floods. However, these methods directly…

计算机视觉与模式识别 · 计算机科学 2023-12-13 Feifei Wang , Yong Wang , Bing Li , Qidong Huang , Shaoqing Chen

The preservation of the Amazon Rainforest is one of the global priorities in combating climate change, protecting biodiversity, and safeguarding indigenous cultures. The Satellite-based Monitoring Project of Deforestation in the Brazilian…

计算机视觉与模式识别 · 计算机科学 2025-12-10 Christian Massao Konishi , Helio Pedrini

The terrestrial water cycle links the soil and atmosphere moisture reservoirs through four fluxes: precipitation, evaporation, runoff and atmospheric moisture convergence. Each of these fluxes is essential for human and ecosystem…

Changing climate signals and the continuous world population growth requires proper hydrologic risk analysis to build and operate water resource infrastructures in a sustainable way. Although modernized computational facilities are becoming…

斑图形成与孤子 · 物理学 2022-08-30 Victor Peñaranda , David Serrano , Mahesh Maskey
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