Results 131 to 140 of about 213,098 (343)
Cloud microphysics parameterizations for shallow cumulus clouds are analyzed based on Lagrangian cloud model (LCM) data, focusing on autoconversion and accretion. The autoconversion and accretion rates, A and C, respectively, are calculated directly by
Y. Noh, D. Oh, F. Hoffmann, S. Raasch
semanticscholar +1 more source
Green Talk, Costly Walk: The Financial Cost of Greenwashing
ABSTRACT This study investigates the financial consequences of greenwashing, operationalized as the misalignment between ESG disclosure and actual ESG performance. While prior research has explored the reputational and ethical dimensions of greenwashing, its impact on firms' cost of debt remains underexamined.
S. Taddeo, A. Regoli, O. Weber, R. Carè
wiley +1 more source
Comparison of stochastic parameterisation approaches in a single-column model [PDF]
We discuss and test the potential usefulness of single-column models (SCMs) for the testing of stochastic physics schemes that have been proposed for use in general circulation models (GCMs).
Ball, Michael, Plant, Robert Stephen
core
Machine Learning Paradigm for Advanced Battery Electrolyte Development
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su +4 more
wiley +1 more source
In this study, the improvements of lake dynamic module parameters in the literature were added to WRF-Lake (WRF4.4.1) at first, then six microphysical schemes, five cumulus convection schemes and two boundary layer schemes were selected.A total of 60 WRF-
Ziyi WANG +4 more
doaj +1 more source
The Impact of Orography and Latent Heating on the Location of the Tropical Easterly Jet [PDF]
The Tropical Easterly Jet (TEJ) is a prominent atmospheric circulation feature observed during the Asian Summer Monsoon. It is generally assumed that Tibet is an essential ingredient in determining the location of the TEJ.
Rao, Samrat, Srinivasan, J.
core
Partial identification with categorical data and nonignorable missing outcomes
Abstract Nonignorable missing outcomes are common in real‐world datasets and often require strong parametric assumptions to achieve identification. These assumptions can be implausible or untestable, and so we may wish to forgo them in favour of partially identified models that narrow the set of a priori possible values to an identification region.
Daniel Daly‐Grafstein, Paul Gustafson
wiley +1 more source
Bhubaneswar, Odisha, experiences an increasing trend of heavy rainfall events (HREs). This study aims to configure the WRF mesoscale model configuration at a hectometre scale and undertakes numerical experiments at a 0.5 km grid spacing.
Alugula Boyaj +9 more
doaj +1 more source
Bayesian inverse ensemble forecasting for COVID‐19
Abstract Variations in strains of COVID‐19 have a significant impact on the rate of surges and on the accuracy of forecasts of the epidemic dynamics. The primary goal for this article is to quantify the effects of varying strains of COVID‐19 on ensemble forecasts of individual “surges.” By modelling the disease dynamics with an SIR model, we solve the ...
Kimberly Kroetch, Don Estep
wiley +1 more source
Symmetry preserving parameterization schemes
Methods for the design of physical parameterization schemes that possess certain invariance properties are discussed. These methods are based on different techniques of group classification and provide means to determine expressions for unclosed terms ...
Bihlo, Alexander, Popovych, Roman O.
core +1 more source

