‘Super-Parameterization’ – a Better Way to Simulate Regional Extreme Precipitation?
Extreme precipitation is generally underestimated by current climate models relative to observations of present-day rainfall distributions. Possible causes of this systematic error include the convective parameterization in these models that have been ...
Michael F. Wehner +3 more
doaj
TCG‐CMDA, a machine learning‐guided capillary microfluidic design automation platform, enables automated design of tree‐shaped concentration gradient generators for programmable mixing of two agents. The pump‐free chip supports synchronized passive flow and programmable gradient formation, providing a practical framework for decentralized point‐of‐care
Mahmood Khalghollah +4 more
wiley +1 more source
The Impact of Model Uncertainties on Analyzed Data in a Global Data Assimilation System
The impact of model uncertainties on analyzed data is investigated using a global data assimilation system. This issue is explored in a 3D-Var system based on the National Centers for Environmental Prediction (NCEP)/Department of Energy (DOE) system ...
Song-You Hong +4 more
doaj +1 more source
Using Thermodynamics and Microstructure to Mitigate Overfitting in Pellet Reduction Models
A in time and space discretized, thermodynamically sound model for direct reduction of iron oxide pellets is described. The number of fitting parameters is drastically reduced compared to existing models. Nevertheless, fitting kinetic parameters based on conversion degree data alone leads to overfitting, which can be mitigated by correlating the ...
Ömer K. Büyükuslu +4 more
wiley +1 more source
Development and Validation of a Next‐Generation Mechanistic Model of the Electric Arc Furnace
This study presents a next‐generation mechanistic model of the electric arc furnace (EAF). It describes equations for all crucial processes appearing during the steel‐recycling process in an EAF, i.e., thermal, mass, and chemical. The model was parameterized and validated using industrial EAF data.
Vito Logar, Igor Škrjanc
wiley +1 more source
Enhanced Convective Microphysics Scheme and Its Impacts on Mean Climate in E3SM
To improve the representation of microphysical processes in convective clouds and their interaction with aerosol and stratiform clouds, a two‐moment convective microphysics parameterization (CMP) scheme developed by Song and Zhang (2011, https://doi.org ...
Xiaoliang Song +3 more
doaj +1 more source
An updated parameterization of the unstable atmospheric surface layer in the Weather Research and Forecasting (WRF) modeling system [PDF]
The accurate parameterization of atmospheric surface layer processes is crucial for weather forecasts using numerical weather prediction models. Here, an attempt has been made to improve the surface layer parameterization in the Weather Research and ...
P. Namdev +3 more
doaj +1 more source
This study documents the unseasonal and prolonged heavy rain events which occurred in southern China during April 2024. In this series of extreme rainfall events, Guangdong province recorded extreme rainfall exceeding 6‐sigma of climatology, with eleven cities reporting record‐breaking rainfall.
Wai‐Po Tse +2 more
wiley +1 more source
Aerosol effects on clouds and precipitation during the 1997 smoke episode in Indonesia [PDF]
In 1997/1998 a severe smoke episode due to extensive biomass burning, especially of peat, was observed over Indonesia. September 1997 was the month with the highest aerosol burden.
H.-F. Graf, J. Yang, T. M. Wagner
doaj
Tubes or Ribbons? Comparing Texture‐space Visualization for Multivariate Line Data
Abstract Multivariate line data is critical for analyzing flow fields, agent systems, and dynamic trajectories. Embedding secondary variables along spatial paths using surface‐based primitives such as ribbons and circular tubes introduces challenges related to perspective, scale, and distortion.
B. Russig +3 more
wiley +1 more source

