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In situ data analytics for highly scalable cloud modelling on Cray machines

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Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/cpe.3125openalex-snapshot
Hello ADIOS: the challenges and lessons of developing leadership class I/O frameworks
inferredcites →https://doi.org/10.1002/qj.2177openalex-snapshot
Mixed‐phase clouds in a turbulent environment. Part 1: Large‐eddy simulation experiments
inferredcites →https://doi.org/10.1002/qj.49712455210openalex-snapshot
The parametrization of entrainment in cloudy boundary layers
inferredcites →https://doi.org/10.1002/qj.49712757705openalex-snapshot
Sensitivity studies using a cloud-resolving model simulation of the tropical west Pacific
inferredcites →https://doi.org/10.1002/qj.55openalex-snapshot
A comparison of cloud‐resolving model simulations of trade wind cumulus with aircraft observations taken during RICO
inferredcites →https://doi.org/10.1007/s10766-010-0137-2openalex-snapshot
Performance Evaluation of Mixed-Mode OpenMP/MPI Implementations
inferredcites →https://doi.org/10.1016/s0167-8191(01)00129-6openalex-snapshot
Optimizing noncontiguous accesses in MPI–IO
inferredcites →https://doi.org/10.1109/cluster.2012.26openalex-snapshot
Damaris: How to Efficiently Leverage Multicore Parallelism to Achieve Scalable, Jitter-free I/O
inferredcites →https://doi.org/10.1145/1243413.1243415openalex-snapshot
The new features of Fortran 2003
inferredcites →https://doi.org/10.1145/1854273.1854323openalex-snapshot
AM++
inferredcites →https://doi.org/10.1145/2558889openalex-snapshot
A Pthreads Wrapper for Fortran 2003
inferredcites →https://doi.org/10.1175/1520-0493(2000)128<3187:anblms>2.0.co;2openalex-snapshot
A New Boundary Layer Mixing Scheme. Part I: Scheme Description and Single-Column Model Tests
inferredcites →https://doi.org/10.1175/1520-0493(2000)128<3200:anblms>2.0.co;2openalex-snapshot
A New Boundary Layer Mixing Scheme. Part II: Tests in Climate and Mesoscale Models
inferredcites →https://doi.org/10.1201/b16251openalex-snapshot
Parallel Science and Engineering Applications
inferredcites →https://doi.org/10.1256/qj.05.71openalex-snapshot
Sensitivity studies of developing convection in a cloud‐resolving model
inferredcites →https://doi.org/10.1504/ijcse.2009.029165openalex-snapshot
F2PY: a tool for connecting Fortran and Python programs
inferredcites →https://doi.org/10.48550/arxiv.2009.12849openalex-snapshot
A highly scalable Met Office NERC Cloud model

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/cpe.4378openalex-snapshot
Foreword to the special issue of the Cray User Group (CUG 2017)
inferred← citeshttps://doi.org/10.1002/cpe.5008openalex-snapshot
Leveraging MPI RMA to optimize halo‐swapping communications in MONC on Cray machines
inferred← citeshttps://doi.org/10.1002/qj.4101openalex-snapshot
Composited structure of non‐precipitating shallow cumulus clouds
inferred← citeshttps://doi.org/10.1002/qj.4291openalex-snapshot
The use of 100 m scale NWP models to understand differences between different measures of mixing height in a morning growing clear convective boundary layer over London
inferred← citeshttps://doi.org/10.1002/qj.4656openalex-snapshot
The moist halo region around shallow cumulus clouds in large eddy simulations
inferred← citeshttps://doi.org/10.1002/wea.3503openalex-snapshot
How important are aerosol–fog interactions for the successful modelling of nocturnal radiation fog?
inferred← citeshttps://doi.org/10.1007/978-3-030-34356-9_40openalex-snapshot
The Role of Interactive Super-Computing in Using HPC for Urgent Decision Making
inferred← citeshttps://doi.org/10.1007/978-3-030-40907-4_15openalex-snapshot
A Hybrid Approach to Insightful Business Impacts
inferred← citeshttps://doi.org/10.1017/jfm.2020.252openalex-snapshot
Two-scale momentum theory for time-dependent modelling of large wind farms
inferred← citeshttps://doi.org/10.1017/jfm.2022.979openalex-snapshot
Two-scale interaction of wake and blockage effects in large wind farms
inferred← citeshttps://doi.org/10.1029/2020gl090460openalex-snapshot
Pressure Drag for Shallow Cumulus Clouds: From Thermals to the Cloud Ensemble
inferred← citeshttps://doi.org/10.1175/jas-d-19-0224.1openalex-snapshot
Evaluation of the Bulk Mass Flux Formulation Using Large-Eddy Simulations
inferred← citeshttps://doi.org/10.5194/acp-2021-513-rc1openalex-snapshot
Comment on acp-2021-513
inferred← citeshttps://doi.org/10.5194/acp-2021-513-rc2openalex-snapshot
Comment on acp-2021-513
inferred← citeshttps://doi.org/10.5194/acp-21-17315-2021openalex-snapshot
Model emulation to understand the joint effects of ice-nucleating particles and secondary ice production on deep convective anvil cirrus
inferred← citeshttps://doi.org/10.5194/acp-21-7271-2021openalex-snapshot
Is a more physical representation of aerosol activation needed for simulations of fog?
inferred← citeshttps://doi.org/10.5194/acp-25-11157-2025openalex-snapshot
Adiabatic and radiative cooling are both important causes of aerosol activation in simulated fog events in Europe
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