Potential Predictability of the Madden‐Julian Oscillation in a Superparameterized Model
The Madden‐Julian Oscillation (MJO) is a promising target for improving sub‐seasonal weather forecasts. Current forecast models struggle to simulate the MJO due to imperfect convective parameterizations and mean state biases, degrading their forecast ...
Sarah Weidman, Zhiming Kuang
doaj +1 more source
Modeling springtime shallow frontal clouds with cloud‐resolving and single‐column models [PDF]
This modeling study compares the performance of eight single‐column models (SCMs) and four cloud‐resolving models (CRMs) in simulating shallow frontal cloud systems observed during a short period of the March 2000 Atmospheric Radiation Measurement (ARM) intensive operational period. Except for the passage of a cold front at the beginning of this period,
Kuan‐Man Xu +19 more
openaire +1 more source
This sensitivity study examined the impact of drizzle on hailstorm characteristics and precipitation on the ground. A cloud-resolving mesoscale model with a two-moment bulk microphysical scheme is modified by introducing mixing ratio and number ...
Nemanja Kovačević, Katarina Veljovic
doaj +1 more source
tobac 1.2: towards a flexible framework for tracking and analysis of clouds in diverse datasets [PDF]
We introduce tobac (Tracking and Object-Based Analysis of Clouds), a newly developed framework for tracking and analysing individual clouds in different types of datasets, such as cloud-resolving model simulations and geostationary satellite retrievals ...
M. Heikenfeld +6 more
doaj +1 more source
Multilayer cloud conditions in trade wind shallow cumulus – confronting two ICON model derivatives with airborne observations [PDF]
Airborne remote sensing observations over the tropical Atlantic Ocean upstream of Barbados are used to characterize trade wind shallow cumulus clouds and to benchmark two cloud-resolving ICON (ICOsahedral Nonhydrostatic) model simulations at kilometer ...
M. Jacob +5 more
doaj +1 more source
Predictability of Precipitation in a Cloud-Resolving Model
Abstract An ensemble methodology is developed and tested to objectively isolate and quantify meso-β-scale predictability limitations in numerical weather prediction (NWP). The methodology involves conducting an ensemble of limited-area simulations with slightly modified initial conditions (representing small-scale observational uncertainties) and ...
André Walser +2 more
openaire +1 more source
GPU Acceleration of a Cloud Resolving Model using CUDA
AbstractThe increasing computing power of graphics processing units (GPU) has motivated the use of GPUs to speed up climate models. Their low price in conjunction with C style parallel programming tools, like CUDA (Compute Unified Device Architecture), allow the programmers, even non-programmers, to exploit the fine grain parallelism power of GPU ...
Hong Zhang, José García
openaire +1 more source
Evaluating Mean State Cloud Properties in the Simple Cloud‐Resolving E3SM Atmosphere Model (SCREAM)
Accurately simulating clouds remains a key challenge in global climate models, primarily because cloud formation involves sub‐grid processes that are parameterized and crudely represented in models.
Li‐Wei Chao +7 more
doaj +1 more source
Global System for Atmospheric Modeling: Model Description and Preliminary Results
The extension of a cloud‐resolving model, the System for Atmospheric Modeling (SAM), to global domains is described. The resulting global model, gSAM, is formulated on a latitude‐longitude grid. It uses an anelastic dynamical core with a single reference
Marat F. Khairoutdinov +2 more
doaj +1 more source
Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment
This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley +1 more source

