Results 81 to 90 of about 1,864 (260)
Using S‐band dual‐polarization radar and disdrometers during PRECIP 2022 in Taiwan, we analyze a Mei‐Yu frontal event with widespread stratiform rain and embedded convection. Multiple disdrometers are used to create a novel drop size distribution model for S‐band radars resolving both the drizzle and precipitation modes. The model reveals both inferred
Ian C. Cornejo +3 more
wiley +1 more source
Mediterranean tropical‐like cyclones show a clear seasonality, with September cyclones exhibiting the deepest convection and Ianos representing the most extreme case. While one or more dry intrusions are typically detected during the cyclone life cycle, Ianos instead features two much weaker descending airflows.
Daniele Nigro +4 more
wiley +1 more source
The present study is carried out to investigate the performance of different cumulus convection, planetary boundary layer, land surface processes, and microphysics parameterization schemes in the simulation of a very severe cyclonic storm (VSCS) Nargis ...
Sujata Pattanayak +2 more
doaj +1 more source
The cell perturbation (CP) method mitigate mesoscale structural perturbations entering large‐eddy simulations (LES) from gray‐zone parent domains. The turbulent kinetic energy (TKE) bias‐filtering effect of CP increases with nesting ratio and is most pronounced under weakly convective conditions.
Jung‐Hee Ryu, Song‐Lak Kang
wiley +1 more source
Multiscale numerical sensitivity simulations of a mesoscale gravity‐wave event
High‐resolution WRF simulations of the February 14–15, 1992 STORM‐FEST event show that mesoscale gravity‐wave genesis occurs via geostrophic adjustment within an upper‐level unbalanced jet, while wave ducting governs maintenance. High‐resolution (1 km), improved physical parameterization, and targeted sensitivity simulations demonstrate that upstream ...
Rajan Bhandari +2 more
wiley +1 more source
As inferred from the Sawyer–Eliassen analyses, the intense diabatic heating located slightly inside the radius of maximum tangential wind (RMW) associated with a compact eyewall is mainly responsible for the severe RI of Noru, in contrast to typhoon Goni (2020) at a slower spinup despite similar RMW, due to the weaker diabatic heating. The severe RI of
Thi‐Chinh Nguyen, Ching‐Yuang Huang
wiley +1 more source
ACCESS‐S2 performs better in predicting longer time‐scale and slower moving waves (MJO and equatorial Rossby waves), while GraphCast performs better in predicting shorter and faster moving waves (Kelvin and mixed Rossby–gravity waves). However, both models systematically underestimate precipitation amplitude across all wave types, especially over the ...
Beata Latos +7 more
wiley +1 more source
Developments of Single-Moment ALARO Microphysics Scheme with Three Prognostic Ice Categories
Microphysics schemes are important components of numerical weather prediction and climate models. They are responsible for correctly estimating precipitation accumulations, cloud cover, and composition, one of the most important meteorological and ...
David Nemec +2 more
doaj +1 more source
Satellite observations of convection and their implications for parameterizations
Parameterization development and evaluation ideally takes a two-step approach (Lohmann et al., 2007). Insight into new processes, and initial parameterization formulation should be guided by theory, process-level observations (laboratory experiments or field studies) or, if these are unavailable, by high-resolution modelling.
Quaas, Johannes, Stier, Philip
openaire +2 more sources
River Ice Processes Modelling: A Comprehensive Review
ABSTRACT River ice strongly influences hydrology, hydrodynamics, and ecosystems in cold regions, with an impact on flooding, hydropower generation, navigation, and aquatic habitats. Modeling river ice processes is therefore essential for both scientific understanding and operational management.
Harusha Abeynayake +3 more
wiley +1 more source

