David Hassell

ORCID: 0000-0001-5106-7502
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About
Contact & Profiles
Research Areas
  • Climate variability and models
  • Meteorological Phenomena and Simulations
  • Atmospheric and Environmental Gas Dynamics
  • Scientific Computing and Data Management
  • Distributed and Parallel Computing Systems
  • Cryospheric studies and observations
  • Methane Hydrates and Related Phenomena
  • Research Data Management Practices
  • Arctic and Antarctic ice dynamics
  • Geographic Information Systems Studies
  • Oceanographic and Atmospheric Processes
  • Data Management and Algorithms
  • Atmospheric Ozone and Climate
  • Agriculture and Rural Development Research
  • Fire effects on ecosystems
  • Air Quality and Health Impacts
  • Quantum Chromodynamics and Particle Interactions
  • Web and Library Services
  • Particle physics theoretical and experimental studies
  • Geological Modeling and Analysis
  • Atmospheric chemistry and aerosols
  • Tropical and Extratropical Cyclones Research
  • Environmental and Agricultural Sciences
  • Regional Economic and Spatial Analysis
  • Avian ecology and behavior

University of Reading
2009-2025

National Centre for Atmospheric Science
2017-2025

Science and Technology Facilities Council
2018

Met Office
2001-2010

University of Oxford
1999

Deutsches Elektronen-Synchrotron DESY
1994

Forschungszentrum Jülich
1994

Demonstrating the effect that climate change is having on regional weather a subject which occupies scientists, government policy makers and media. After an extreme event occurs, question often posed, ‘Was caused by anthropogenic change?’ Recently, new branch of science (known as attribution) has sought to quantify how much risk events occurring increased or decreased due change. One method attribution uses very large ensembles models computed via volunteer distributed computing. A recent...

10.1002/qj.2455 article EN cc-by Quarterly Journal of the Royal Meteorological Society 2014-09-05

Abstract The intensity and distribution of daily precipitation is predicted to change under scenarios increased greenhouse gases (GHGs). In this paper, we analyse the ability HadCM2, a general circulation model (GCM), high‐resolution regional climate (RCM), both developed at Met Office's Hadley Centre, simulate extreme by reference observations. A detailed analysis made two UK grid boxes, where probabilities reaching thresholds in GCM RCM are compared with We find that generally overpredicts...

10.1002/qj.49712757316 article EN Quarterly Journal of the Royal Meteorological Society 2001-04-01

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...

10.5194/gmd-11-3659-2018 article EN cc-by Geoscientific model development 2018-09-11

Abstract. The distribution of data contributed to the Coupled Model Intercomparison Project Phase 6 (CMIP6) is via Earth System Grid Federation (ESGF). ESGF a network internationally distributed sites that together work as federated archive. Data records from climate modelling institutes are published and then shared around world. It anticipated CMIP6 will produce approximately 20 PB be ESGF. In addition this large volume number value-added services required interact with ESGF; for example...

10.5194/gmd-14-629-2021 article EN cc-by Geoscientific model development 2021-01-29

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...

10.5194/gmd-10-4619-2017 article EN cc-by Geoscientific model development 2017-12-19

A high resolution regional atmosphere model is used to investigate the sensitivity of North Atlantic storm track spatial and temporal sea surface temperature (SST) data as a lower boundary condition. The run over an unusually large domain covering all Europe, shown produce very good simulation observed structure. forced at lateral boundaries with 15–20 years from ERA-40 reanalysis, by SST differing resolution. impacts increasing are assessed separately, in both cases leads subtle, but...

10.1007/s00382-009-0554-3 article EN cc-by-nc Climate Dynamics 2009-04-09

Abstract. This work presents the first step in development of VISION toolkit, a set Python tools that allows easy, efficient, and more meaningful comparison between global atmospheric models observational data. Whilst data modelling capabilities are expanding parallel, there still barriers preventing these two sources from being used synergy. arises differences spatial temporal sampling platforms: research aircraft, for example, sampled on specified flight trajectories at very high...

10.5194/gmd-18-181-2025 article EN cc-by Geoscientific model development 2025-01-16

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...

10.5194/egusphere-egu25-6544 preprint EN 2025-03-14

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,...

10.5194/egusphere-egu25-20430 preprint EN 2025-03-15

Arctic regions are expected to experience pronounced changes in climate during the current century. Large numbers of waterfowl breed these regions, and any induced likely have consequences for their demographics. Moreover, environmental experienced migration on wintering grounds may also impacts but remain poorly understood. We investigate role variation breeding, wintering, while controlling possible effects mammalian predation density dependence reproduction Svalbard breeding barnacle...

10.1111/j.1600-0706.2009.17429.x article EN Oikos 2009-05-01

The cfdm

10.21105/joss.02717 article EN cc-by The Journal of Open Source Software 2020-10-12

Abstract. This work presents the first step in development of VISION toolkit, a set python tools that allows for easy, efficient and more meaningful comparison between global atmospheric models observational data. Whilst data modelling capabilities are expanding parallel, there still barriers preventing these two sources to be used synergy. arises from differences spatial temporal sampling platforms: research aircraft, example, is sampled on specified flight trajectories at very high...

10.5194/gmd-2024-73 preprint EN cc-by 2024-06-17

Abstract. The World Climate Research Programme (WCRP)'s Working Group on Modeling (WGCM) Infrastructure Panel (WIP) was formed in 2014 response to the explosive growth size and complexity of Coupled Model Intercomparison Projects (CMIPs) between CMIP3 (2005-06) CMIP5 (2011-12). This article presents WIP recommendations for global data infrastructure needed support CMIP design, future evolution. Developed close coordination with those who build run existing (the Earth System Grid Federation),...

10.5194/gmd-2018-52 preprint EN cc-by 2018-03-22

Abstract. The distribution of data contributed to the Coupled Model Intercomparison Project Phase 6 (CMIP6) is via Earth System Grid Federation (ESGF). ESGF a network internationally distributed sites that together work as federated archive. Data records from climate modelling institutes are published on and then shared around world. It anticipated CMIP6 will produce O(20PB) be ESGF. In addition this large volume number value-added services required interact with ESGF, for example Citation...

10.5194/gmd-2020-153 preprint EN cc-by 2020-06-30

<p>Climate change data and information is among those of the highest interest for cross-domain researchers, policy makers general public. Serving climate projection to these diverse users requires detailed accessible documentation.</p><p>Thus, CMIP6 (Coupled Model Intercomparison Project Phase 6) infrastructure consists not only ESGF (Earth System Grid Federation) as dissemination component but additionally ES-DOC Documentation) Citation Service...

10.5194/egusphere-egu2020-4616 article EN 2020-03-09

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...

10.5194/gmd-2017-154 article EN cc-by 2017-07-10
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