Machine Learning Reveals Hidden Bias in ERA5 Cloud Heights Over Earth's Third Pole
Abstract Accurate cloud base height (CBH) over the Tibetan Plateau—Earth's Third Pole—is essential for monsoon dynamics, glacial melt, and water security, yet ERA5 systematically underestimates it. Here, we present a two‐step machine learning framework to mitigate this hidden bias.
W. Zhao +9 more
wiley +1 more source
Abstract Accurate identification of cloud thermodynamic phases ‐warm water, supercooled water and ice—is essential for the global energy budget and hydrological cycle, and serves as a crucial prerequisite for retrieving cloud optical and microphysical parameters.
Haofei Wang +3 more
wiley +1 more source
The use of diabetes technology under aviation conditions: A systematic review of human and in-vitro studies and future considerations. [PDF]
Meçani R +11 more
europepmc +1 more source
Abstract Spaceborne radar systems such as the Global Precipitation Measurement Mission (GPM)'s core satellite Dual‐frequency Precipitation Radar (DPR) provide global insight into precipitation structure, storm morphology, and hydrological cycles. However, their limited spatial and temporal sampling and high cost constrain their ability to continuously ...
Florian Morvais, Chuntao Liu
wiley +1 more source
Dynamic multi-objective aviation maintenance scheduling: an algorithmic framework. [PDF]
Qi L, Lv C, Zhang T, Wang Y.
europepmc +1 more source
A Review of the Unintended Consequences of Biochar in Various Applications
Biochar is widely promoted as a sustainable material for applications ranging from soil amendment to energy storage and construction materials. This review critically examines the often‐overlooked and unintended consequences of biochar, including variability in properties, safety risks, and performance limitations.
Singaravelu Vivekanandhan +14 more
wiley +1 more source
Systematic rise in flight cancellations during space weather events. [PDF]
Luo RD +17 more
europepmc +1 more source
Health Prognostics in Multi‐Sensor Systems Based on Multivariate Functional Data Analysis
ABSTRACT Recent developments in big data analysis, machine learning, Industry 4.0, and IoT applications have enabled the monitoring and processing of multi‐sensor data collected from systems, allowing for the prediction of the “Remaining Useful Life” (RUL) of system components.
Cevahir Yildirim +2 more
wiley +1 more source
International research on pilot psychological training with CiteSpace based visual analysis. [PDF]
Qiu R +5 more
europepmc +1 more source
The Extent of Catholyte Gelation as a Critical Safety Factor in NMC‐Based Solid‐State Battery Design
The work presented here describes the enhanced safety benefits offered by full immobilization of a liquid catholyte in a quasisolid‐state Li‐ion battery and the hazards that are retained by the use of a liquid catholyte in these cells. Solid‐state batteries (SSBs) are considered a safer alternative to conventional lithium‐ion batteries due to the ...
Huw C. W. Parks +7 more
wiley +1 more source

