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UK Atmospheric Hi-Res Model
No full textThis document describes a post processed regional downscaled configuration of the Unified Model, covering the UK and Ireland, with hourly forecast data covering the period T+0 to T+36 hours. With a resolution of approximately 0.018 degrees it is able to produce hourly data at surface level and at standard pressure levels up to eight times a day. The model’s initial state is kept close to the real atmosphere using incremental 3D-Var data assimilation.
This document provides technical model configuration details and describes the output variables available
Scientific computing training for NERC researchers
No full textA poster informing NERC researchers about scientific computing trainin
HadISDH v2.0.0 process diagram
No full textFlow chart of dataset processing for HadISDH-land v2.0.0 from hourly quality-controlled values to monthly mean homogenised station values. [Figure 1 of Willett, K. M., Dunn, R. J. H., Thorne, P. W., Bell, S., de Podesta, M., Parker, D. E., Jones, P. D., and Williams Jr., C. N.: HadISDH land surface multi-variable humidity and temperature record for climate monitoring, Clim. Past, 10, 1983-2006, doi:10.5194/cp-10-1983-2014, 2014.
Quality control workflow through the data management lifecycle
No full textA poster to show the Quality control workflow through the data management lifecycle.
The Coupled Model Intercomparison Project, Phase 5 (CMIP5) archive
provides a testbed for looking at problems of large scale archives. The
complexity of the data within the archive is compounded by the complexity
of the management structure: in order to facilitate rapid distribution of the
climate data, the modelling centres producing the data have set up their own
archive nodes. The system is designed to be transparent, so that users can
access data without being aware of its location. The transparency breaks
down when institutions fail to master the publication process and inject
inappropriate information into the system catalogue
NCAS Introduction to Scientific Computing Course, University of York, March 17-20 2014: Course material
No full textCourse material used during the NCAS Introduction to Scientific Computing Course, University of York, March 17-20 201
The UK Climate Predicition 2009 (UKCP09) Outputs and metadata specification - Release 1.1
No full textThe UK Climate Predicition 2009 (UKCP09) Project user interface (UI) documentation. The User Interface (UI) provides the access to project outputs. These outputs must also be consistent and well-described with an appropriate level of information (metadata) passed to users alongside the data. This document explains the output formats delivered by the UI. Particular attention is paid to the formatting of CSV outputs which are likely to be the most commonly accessed by users
Jenoptik CHM15k Nimbus LCBR user guide - German version
No full textThis is the German version of the Jenoptik CHM15k Nimbus LCBR user guide. The “NIMBUS” series is the second generation of proven
CHM 15k ceilometers measuring aerosol height profiles
using the LIDAR technique. They determine cloud base
heights, penetration depths, mixing layer height and
vertical visibility. Within their operating range of up to
15 kilometres (50 000 feet), they reliably detect multiple
cloud layers and cirrus clouds. The “NIMBUS” series is
equipped with an integrated controller offering improved
range resolution and a comfortable web interface
Joint declaration of data citation principles
No full textA poster highlighting joint declaration of data citation principles.
Purpose
Importance: Data should be considered legitimate, citable products of research. Data citations should be accorded the same importance in the scholarly record as citations of other research objects, such as publications.
Credit and attribution: Data citations should facilitate giving scholarly credit and normative and legal attribution to all contributors to the data, recognizing that a single style or mechanism of attribution may not be applicable to all data.
Evidence. In scholarly literature, whenever and wherever a claim relies upon data, the corresponding data should be cited.
Function
4. Unique Identification. A data citation should include a persistent method for identification that is machine-actionable, globally unique, and widely used by a community.
5. Access. Data citations should facilitate access to the data themselves and to such associated metadata, documentation, code, and other materials, as are necessary for both humans and machines to make informed use of the referenced data.
Attributes
6. Persistence. Unique identifiers, and metadata describing the data and its disposition, should persist -- even beyond the lifespan of the data they describe [6].
7. Specificity and verifiability. Data citations should facilitate identification of, access to, and verification of the specific data that support a claim. Citations or citation metadata should include information about provenance and fixity sufficient to facilitate verifying that the specific timeslice, version and/or granular portion of data retrieved subsequently is the same as was originally cited.
8. Interoperability and flexibility. Data citation methods should be sufficiently flexible to accommodate the variant practices among communities, but should not differ so much that they compromise interoperability of data citation practices across communities
Minutes of the 42nd Natural Environment Research Council (NERC) Mesosphere-Stratosphere-Troposphere (MST) Radar Facility Experimenters' Meeting
No full textMeeting date: Thursday 29th January 2009;
Meeting location: The Cosener's House, Abingdon, UK;
Meeting agenda:
1) Minutes of the previous meeting
2) Matters arising
3) Facility Report
4) NERC Instrument Report
5) Guest Instrument Report
6) Science and Technical Presentations
7) Any Other Busines
Research Data Overview
No full textA step by step guide through the research data lifecycle, data set creation, big data vs long-tail, metadata, data centres/data repositorie