Results 61 to 70 of about 668,694 (294)
Enhancing the capacity for monitoring,forecasting,and early warning of rainfall and flood conditions in high-risk flood areas represents a critical national demand and an international frontier topic,addressing the increasing frequency,scope,and disaster
Zongzhi WANG +5 more
doaj +1 more source
When a master transcription factor (TF) is lost, bacteria can rapidly rewire gene regulatory networks by co‐opting related regulators. Using experimental evolution in Pseudomonas fluorescens, we show that TF promiscuity (low‐level, non‐cognate binding) provides the raw material for rewiring. Successful co‐option follows a predictable hierarchy governed
Tiffany B. Taylor, Alan M. Rice
wiley +1 more source
This work reports on epitaxially grown Hf0.52Zr0.48O2 ferroelectric memristors with high stability (high durability exceeding 108 cycles and a retention time exceeding 104 s for 16 states) and ultra‐low operating energy consumption (∼121 fJ). A memristor array‐based reservoir computing system is constructed and applied for the first time in the field ...
Ying Liu +6 more
wiley +1 more source
Conceptual illustration of a Global Ecosystem Methane Observing System (GEM‐OS) integrating satellites, aircraft, atmospheric networks, and ecosystem measurements to quantify methane emissions from anthropogenic and natural sources. The multi‐scale observing framework improves source attribution, reduces uncertainty in regional methane budgets, and ...
P. Ciais +32 more
wiley +1 more source
Flash flood risk management: Advances in hydrological forecasting and warning
Implementation of flood warning systems and community self-help programs is one of the most effective way to mitigate the flash flood risk. In many instances, these are the only affordable and sustainable management approaches.
TODINI, EZIO +5 more
core +1 more source
FloodCastBench: A Large-Scale Dataset and Foundation Models for Flood Modeling and Forecasting
Effective flood forecasting is crucial for informed decision-making and emergency response. Existing flood datasets mainly describe flood events but lack dynamic process data suitable for machine learning (ML).
Qingsong Xu +3 more
doaj +1 more source
The Study of Flood Forecast Based on Precipitation Ensemble Forecast
Ensemble forecast which makes up for the lack of the single forecast, is a shift from deterministic forecast to probabilistic forecast. Based on the above ideas, this paper takes the Jianghua as study basin,and uses the ECWMF ensemble forecast ...
Yang Xiao, Xin Wu, Wang Ye, Cao Deqin
doaj +1 more source
Probing Electrocatalyst Design for Product Selectivity in CO2 Reduction
Selective CO2 electroreduction is controlled by catalyst structure, dynamic surface reconstruction, adsorbate interactions, and reaction microenvironment. This review summarizes Cu‐ and non‐Cu‐based catalysts, single‐atom and molecular systems, degradation pathways, and operando/computational strategies for steering CO2RR toward hydrocarbons ...
Suvodeep Sen +5 more
wiley +1 more source
Improvement of flood forecasting simulations with the Telemark Flood Forecasting Model
Flood is the most common environmental hazard worldwide and can have an devastating consequences affecting the economy, environment, and people. The causes and nature of flood may be different, but it is important to control all of them. The typical cause of flood in Norway is a combination of heavy rainfall and snowmelt which results in an unexpected ...
openaire +3 more sources
Groundwater Rise Sustains the World's Largest Alpine Water System Under Global Warming
Shallow groundwater depth (SGWD) across the non‐permafrost plains of the Qinghai–Xizang Plateau decreased at averagely 0.02 m year−1, adding 31.44 Gt of freshwater storage from 2000 to 2020 and sustaining ∼53 500 km2 of alpine ecosystems. A vadose‐zone capacity of 426.6 Gt reveals these aquifers as promising reservoirs, highlighting groundwater's ...
Jianqing Du +15 more
wiley +1 more source

