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European Atmospheric Hi-Res Model
Full text linkThis document describes a regionally downscaled configuration of the Unified Model, covering a European domain, with hourly forecast data covering the period T+1 to T+54 hours. With a resolution of approximately 0.04 degrees, it is able to produce selected hourly data covering the first 48 hours at surface level and at standard pressure levels four times a day. The model’s initial state is kept close to the real atmosphere by starting from a downscaled global starting condition.
This document provides details of the model configuration and output fields
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.
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
Joint declaration of data citation principles
Full text linkA 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
Quality control workflow through the data management lifecycle
Full text linkA 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
Jenoptik CHM15k Nimbus LCBR user guide - German version
Full text linkThis 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
The UK Climate Predicition 2009 (UKCP09) Outputs and metadata specification - Release 1.1
Full text linkThe 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
Scientific computing training for NERC researchers
Full text linkA poster informing NERC researchers about scientific computing trainin
Facilitating Effective Collaboration under the JWCRP using the JASMIN Platform
Full text linkThe JASMIN computing platform at NCAS BADC provides access to high-performance disk, a virtualisation platform, compute cluster and high-speed networking. One key aspect from the NCAS perspective is that resources are equally accessible to researchers in UK universities and the UK Met Office. This makes JASMIN an excellent candidate for hosting services to support collaborations under the Joint Weather and Climate Research Programme (JWCRP)
Descriptions of MOHC perturbed physics ensembles (PPE) experiments investigating changes in African temperature and precipitation
Full text linkData from two perturbed physics ensembles developed by the Met Office Hadley Centre as part of the QUMP (Quantifying Uncertainty in Model Predictions) project. These data were used to investigate changes in African temperature and precipitation associated with global warming for a special issue on the future of African rainforests