Results 31 to 40 of about 24,137 (263)

Analysis of extreme rainfall and drought events using statistical and fractal methods: A case study of Mauritius

South African Journal of Science, 2021
Due to climate change, extreme rainfall and drought events are becoming more and more frequent in several regions of the globe. We investigated the suitability of employing statistical and fractal (or scaling) methods to characterise extreme ...
Reena H. Seebocus, Michel R. Lollchund, Miloud Bessafi   +2 more
doaj   +1 more source

Transducers Across Scales and Frequencies: A System‐Level Framework for Multiphysics Integration and Co‐Design

Advanced Materials Technologies, EarlyView.
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu, Mengyao Xiao, Zhouli Sui, Yinpeng Wang, Daoye Zheng, Yuxin Liu, Luwei Wang, Huajun Liu, Chengkuo Lee   +8 more
wiley   +1 more source

Review: Methods for the estimation of extreme rainfall events

Water SA, 2019
The estimation of design rainfalls is necessary to estimate the exceedance probabilities of extreme floods required to design hydraulic structures and to quantify the risk of failure of these structures. New approaches to estimating extreme rainfall events are being developed internationally.
Johnson, K.A., Smithers, J.C.
openaire   +3 more sources

Liquid Metal‐Based Stretchable Strain Sensor for Fruit Growth Monitoring

Advanced Materials Technologies, EarlyView.
Schematic overview of the fruit growth sensor development workflow, including sensor fabrication by injection molding, electromechanical and environmental characterization, mechanical stability testing, electronic readout integration, and outdoor field validation for monitoring of fruit growth under practical orchard conditions.
Asad Ullah, Lennert Purnal, Maximilian Krack, Sander Vijgen, Thijs Vandenryt, Dieter Reenaers, Ronald Thoelen, Wim Deferme   +7 more
wiley   +1 more source

Coupled model intercomparison project phase 6 (CMIP6) high resolution model intercomparison project (HighResMIP) bias in extreme rainfall drives underestimation of amazonian precipitation

Environmental Research Communications
Extreme rainfall events drive the amount and spatial distribution of rainfall in the Amazon and are a key driver of forest dynamics across the basin.
Robinson Negron-Juarez, Michael Wehner, Maria Assunção F Silva Dias, Paul Ullrich, Jeffrey Q Chambers, William J Riley   +5 more
doaj   +1 more source

Closed‐Loop Radiative Cooling Mulch Upcycled From Agricultural Residues for Efficient Soil Heat–Water Stress Mitigation

Advanced Science, EarlyView.
Conventional passive radiative cooling films rely on costly feedstocks and energy‐intensive fabrication, with poor end‐of‐life compatibility in agriculture. To address this challenge, a sustainable radiative cooling mulch (SRCM) is developed from waste maize leaves via spontaneous hydrogen‐bond self‐assembly.
Hao Li, Dong Lv, Yang Fu, Cancheng Jiang, Wenqi Wang, Ze Li, Lin Liang, Jiayu Du, Jie Tan, Yihao Zhu, Wenjie Liu, Lamfeddal Kouisni, Kaixin Lin, Chi Yan Tso   +13 more
wiley   +1 more source

Extreme Rainfall Analysis and Return Period Estimation Based on Extreme Value Theory

Engineering Proceedings
Climate change has resulted in frequent extreme weather events such as heavy rainfall and heat waves in Japan, making accurate forecasting and countermeasures an urgent issue.
Jieling Wu
doaj   +1 more source

Projecting changes in extreme rainfall from three tropical cyclones using the design-rainfall approach

npj Climate and Atmospheric Science, 2021
In the past quarter-century, Eastern North Carolina (ENC) experienced several devastating tropical cyclones that led to widespread flooding and damage.
Anna M. Jalowska, Tanya L. Spero, Jared H. Bowden   +2 more
doaj   +1 more source

Causal‐Guided Ultra‐Long‐Term Time Series Forecasting Via Anticipated Covariates

Advanced Science, EarlyView.
Often treated as unknown, information from the future remains underutilized.We demonstrate that in a coupled dynamical system, providing the future state of the effect enables accurate forecasting of the cause for a long timesteps. A time series forecasting paradigm that introduces anticipated covariates to represent such known future states is ...
Jintong Zhao, Yufei Liu, Ruixi Huang, Zhongxue Gan, Siyang Leng   +4 more
wiley   +1 more source

Identification of spatio‐temporal patterns in extreme rainfall events in the Tropical Andes: A clustering analysis approach

Meteorological Applications
High spatio‐temporal variability is a characteristic of extreme rainfall. In mountainous regions like the Tropical Andes, where intricate orography and mesoscale atmospheric dynamics greatly impact rainfall systems, this particularly holds for mountain ...
Gabriela Urgilés, Rolando Célleri, Jörg Bendix, Johanna Orellana‐Alvear   +3 more
doaj   +1 more source