A5050608950- Climate variability and models
- Atmospheric and Environmental Gas Dynamics
- Meteorological Phenomena and Simulations
- Scientific Computing and Data Management
- Distributed and Parallel Computing Systems
- Atmospheric Ozone and Climate
- Research Data Management Practices
- Ionosphere and magnetosphere dynamics
- Atmospheric chemistry and aerosols
- Advanced Data Storage Technologies
- Environmental Monitoring and Data Management
- Atmospheric aerosols and clouds
- Geophysics and Gravity Measurements
- Hydrology and Watershed Management Studies
- Semantic Web and Ontologies
- Tropical and Extratropical Cyclones Research
- Geographic Information Systems Studies
- Solar and Space Plasma Dynamics
- Computational Physics and Python Applications
- Advanced Computational Techniques and Applications
- Geological Modeling and Analysis
- Data Quality and Management
- Hydrological Forecasting Using AI
- Astro and Planetary Science
- Parallel Computing and Optimization Techniques
University of Reading
2015-2024
National Centre for Atmospheric Science
2014-2024
University of Leeds
2020-2024
Lawrence Livermore National Laboratory
2023
Uganda National Meteorological Authority
2021
National Institute of Meteorology
2021
Science and Technology Facilities Council
2011-2018
Rutherford Appleton Laboratory
2006-2018
Centre for Environmental Data Analysis
2016
Natural Environment Research Council
2012-2016
This paper discusses many of the issues associated with formally publishing data in academia, focusing primarily on structures that need to be put place for peer review and formal citation datasets. Data publication is becoming increasingly important scientific community, as it will provide a mechanism those who create receive academic credit their work allow conclusions arising from an analysis more readily verifiable, thus promoting transparency process. Peer also ensuring quality...
Abstract. The Coupled Model Intercomparison Project (CMIP) has successfully provided the climate community with a rich collection of simulation output from Earth system models (ESMs) that can be used to understand past changes and make projections uncertainty estimates future. Confidence in ESMs gained because are based on physical principles reproduce many important aspects observed climate. More research is required identify processes most responsible for systematic biases magnitude future...
Abstract. The World Climate Research Programme (WCRP)'s Working Group on Modelling (WGCM) Infrastructure Panel (WIP) was formed in 2014 response to the explosive growth size and complexity of Coupled Model Intercomparison Projects (CMIPs) between CMIP3 (2005–2006) CMIP5 (2011–2012). This article presents WIP recommendations for global data infrastructure needed support CMIP design, future growth, evolution. Developed close coordination with those who build run existing (the Earth System Grid...
Abstract. To manage Earth in the Anthropocene, new tools, institutions, and forms of international cooperation will be required. Virtualization Engines is proposed as an federation centers excellence to empower all people respond immense urgent challenges posed by climate change.
JASMIN is a super-data-cluster designed to provide high-performance high-volume data analysis environment for the UK environmental science community. Thus far has been used primarily by atmospheric and earth observation communities, both support their direct scientific workflow, curation of products in STFC Centre Environmental Data Archival (CEDA). Initial configuration first experiences are reported here. Useful improvements workflow presented. It clear from explosive growth stored use...
Abstract. The UPSCALE (UK on PRACE: weather-resolving Simulations of Climate for globAL Environmental risk) project constructed and ran an ensemble HadGEM3 (Hadley Centre Global Environment Model 3) atmosphere-only global climate simulations over the period 1985–2011, at resolutions N512 (25 km), N216 (60 km) N96 (130 as used in current weather forecasting, seasonal prediction modelling respectively. Alongside these present a parallel looking extremes future was run, using time-slice...
Abstract. Weather and climate models are complex pieces of software which include many individual components, each is evolving under pressure to exploit advances in computing enhance some combination a range possible improvements (higher spatio-temporal resolution, increased fidelity terms resolved processes, more quantification uncertainty, etc.). However, after years relatively stable environment with little choice processing architecture or programming paradigm (basically X86 processors...
Abstract. The CF (Climate and Forecast) metadata conventions are designed to promote the creation, processing, sharing of climate forecasting data using Network Common Data Form (netCDF) files libraries. provide a description physical meaning their spatial temporal properties, but they depend on netCDF file encoding which can currently only be fully understood interpreted by someone familiar with rules relationships specified in documentation. To aid development CF-compliant software capture...
Abstract. The data request of the Coupled Model Intercomparison Project Phase 6 (CMIP6) defines all quantities from CMIP6 simulations that should be archived. This includes both general interest needed most CMIP6-endorsed model intercomparison projects (MIPs) and are more specialized only to a single endorsed MIP. complexity has increased early days intercomparisons, as volume. In contrast with CMIP5, requires distinct sets highly tailored variables saved each than 200 experiments. places...
Abstract. The Coupled Model Intercomparison Project (CMIP) is one of the biggest international efforts aimed at better understanding past, present, and future climate changes in a multi-model context. A total 21 model intercomparison projects (MIPs) were endorsed its sixth phase (CMIP6), which included 190 different experiments that used to simulate 40 000 years produced around PB data total. This paper presents main findings obtained from CPMIP (the Computational Performance Project),...
The rapid growth of weather and climate datasets is increasing the pressure on data centres hinders scientific analysis distribution. For example, kilometre-scale models can generate 20 gigabytes per second when run operationally, making it generally infeasible to store all output unless advanced compression applied. To address this challenge, novel lossy techniques, including recently so-called neural compressors which learn smaller representations data, have been proposed with...
Abstract. The aerosol component of the Oxford-Rutherford Aerosol and Cloud (ORAC) combined cloud retrieval scheme is described theoretical performance algorithm analysed. ORAC an optimal estimation for deriving properties from measurements made by imaging satellite radiometers and, when applied to free radiances, provides estimates optical depth at a wavelength 550 nm, effective radius surface reflectance nm. has several incarnations – this paper addresses version which operates in...
Abstract. A climate model represents a multitude of processes on variety timescales and space scales: canonical example multi-physics multi-scale modeling. The underlying system is physically characterized by sensitive dependence initial conditions, natural stochastic variability, so very long integrations are needed to extract signals change. Algorithms generally possess weak scaling can be I/O and/or memory-bound. Such weak-scaling, I/O, memory-bound codes present particular challenges...
Abstract. The Community Intercomparison Suite (CIS) is an easy-to-use command-line tool which has been developed to allow the straightforward intercomparison of remote sensing, in situ and model data. While there are a number tools available for working with climate data, large diversity sources (and formats) sensing measurements necessitated novel software solution. Developed by professional company, CIS supports gridded ungridded data "out-of-the-box", including output NetCDF or UK Met...
We describe the approach taken to develop United Kingdom's first community Earth system model, UKESM1. This is a joint effort involving Met Office and Natural Environment Research Council (NERC), representing U.K. academic community. document our model development procedure subsequent submission CMIP6, based on traceable hierarchy of coupled physical models. UKESM1 builds well-established, world-leading HadGEM models climate incorporates cutting-edge new representations aerosols, atmospheric...
Abstract. Numerical simulation, and in particular simulation of the earth system, relies on contributions from diverse communities, those who develop models to involved devising, executing, analysing numerical experiments. Often these people work different institutions may be working with significant separation time (particularly analysts, data produced years earlier), they typically communicate via published information (whether journal papers, technical notes, or websites). The complexity...
Abstract The emergence of exascale computing and artificial intelligence offer tremendous potential to significantly advance Earth system prediction capabilities. However, enormous challenges must be overcome adapt models systems use these new technologies effectively. A 2022 WMO report on recommends “ urgency in dedicating efforts attention disruptions associated with evolving that will increasingly difficult overcome, threatening continued advancements weather climate capabilities .”...
Abstract. The CMIP6 project was the most expansive and ambitious Model Intercomparison Project (MIP), latest in a long history, extending back four decades. CMIP has captivated engaged broad, growing community focused on improving our climate understanding. It anchored ability to quantify attribute drivers responses of observed changes we are experiencing today. project's profound impact been achieved by combining science technology. This enabled production latest-generation simulations...
Accurate representation of turbulent processes remains a critical challenge in atmospheric modelling. Large Eddy Simulations (LES) serve as valuable tools for understanding turbulence by explicitly resolving energy-containing eddies while parameterizing smaller-scale motions through subgrid-scale (SGS) models. In their most complex forms, these SGS parameterizations can significantly influence LES performance and computational efficiency, making improvement useful advancing modelling...
Large Ensembles, or Single Model Initial Condition Ensembles (SMILEs) of climate model simulations, have been produced by different modelling centres in recent years. Here, we present the HadGEM3 Ensemble recently completed within UK NERC multi-centre CANARI project. In context existing all-forcings noteworthy properties are (i) a relatively high resolution (60 km atmosphere mid latitudes, and about 25 ocean), (ii) availability sub-daily output on range pressure levels to study weather...
Active storage (also known as computational storage) has been a concept often proposed but not delivered. The idea is that there lot of under-utilised compute power in modern systems, and this could be utilised to carry out some parts data analysis workflows. Such facillity would reduce the cost moving data, make distributed much more efficient.For able handle compute, either an entire stack migrated (with all problems around security dependencies) or offer suitable interfaces. Here we take...
Anthropogenic aerosol emissions are projected to decline significantly by 2050, with major implications for regional climate. However, unlike greenhouse gases, impacts spatially heterogeneous and can influence climate both near emission sources through remote teleconnections. This is particularly important the Indian monsoon system, where local changes affect precipitation patterns.Using Regional Aerosol Model Intercomparison Project (RAMIP) framework, we examine how across pre-monsoon...
The CF (Climate and Forecast) metadata conventions for netCDF datasets describe means of "compression-by-convention", i.e. methods compressing decompressing data according to algorithms that are fully described within the themselves. These algorithms, which can be lossless or lossy, not applicable arbitrary data, rather have exhibit certain characteristics make compression worthwhile, even possible.Aggregation, available in CF-1.13, provides utility being able view, as a single entity,...
Abstract A series of experiments are described that examine the sensitivity northern‐hemisphere winter evolution to equatorial quasi‐biennial oscillation (QBO). The prime tool for is a stratosphere‐mesosphere model. model integrated over many years with modelled winds relaxed towards observed values in order simulate realistic QBO. In experiment Singapore radiosonde observations height region 16‐32 km. contrast previous modelling studies, Holton‐Tan relationship (warm/cold winters associated...
Abstract. Two-dimensional radiance maps from Channel 9 (~60–90 hPa) of the Advanced Microwave Sounding Unit (AMSU-A), acquired over southern Scandinavia on 14 January 2003, show plane-wave-like oscillations with a wavelength λh ~400–500 km and peak brightness temperature amplitudes up to 0.9 K. The wave-like pattern is observed in AMSU-A radiances 8 overpasses this region by 4 different satellites, revealing growth disturbance amplitude 00:00 UTC 12:00 change its horizontal structure between...