Changes between Version 31 and Version 32 of udg/ecoms/EndUserNeeds


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Timestamp:
Jan 17, 2014 10:33:19 AM (8 years ago)
Author:
maru
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  • udg/ecoms/EndUserNeeds

    v31 v32  
    771. '''Identification of the variables needed by impact applications:''' The following WPs of EUPORIAS and SPECS provide relevant feedback for the identification of the variables required by end user's:
    88 * '''EUPORIAS WP12''' (''Assessment of users' needs'') is devoted to the assessment of users' needs. The recent Report on findings on S2D users’ needs from workshop with meteorological organisations [https://www.meteo.unican.es/svn/repos/documentos/trunk/proyectos/EUPORIAS/3_Deliverables/20130225_D12.1_v1.1.doc.pdf (D12.2)] presents a literature review whose aim is to provide an overall understanding of the current state of the use of S2D climate and climate impacts predictions across European sectors.
    9  * [wiki:./EndUserNeeds/CII EUPORIAS WP22 Needs] (''Impact relevant climate information indices, CIIs''). An initial set of CIIs and required meteorological variables was provided in Milestone 19.  A note on the temporal aggregation of input variables for CII computation is given [wiki:./EndUserNeeds/NoteTimeAggregation here]. This set is currently under revision by WP22 and it is expected to be updated by the end of February 2014, after the WP22 workshop, where the final list of CIIs will be defined.
    10  * [wiki:./EndUserNeeds/ImpactModels EUPORIAS WP23 Needs] (''Impact models for impact predictions''). In order to identify user's requirements, information has been collected from the internal EUPORIAS wiki [https://euporias.wikidot.com/wp23-general-discussion (WP23 information on models and variables)] and from the [http://demo.predictia.es/inventory/ questionnaire] circulated by Predictia.
     9 * [wiki:./CII EUPORIAS WP22 Needs] (''Impact relevant climate information indices, CIIs''). An initial set of CIIs and required meteorological variables was provided in Milestone 19.  A note on the temporal aggregation of input variables for CII computation is given [wiki:./NoteTimeAggregation here]. This set is currently under revision by WP22 and it is expected to be updated by the end of February 2014, after the WP22 workshop, where the final list of CIIs will be defined.
     10 * [wiki:./ImpactModels EUPORIAS WP23 Needs] (''Impact models for impact predictions''). In order to identify user's requirements, information has been collected from the internal EUPORIAS wiki [https://euporias.wikidot.com/wp23-general-discussion (WP23 information on models and variables)] and from the [http://demo.predictia.es/inventory/ questionnaire] circulated by Predictia.
    1111 * '''SPECS WP61 Needs''' (''Pilot applications''). The main objective of this WP is to provide evidence of the increased usefulness of the climate predictions performed in SPECS's RT3 and RT4 and made available from RT5 by applying them to predicting agricultural yield and renewable energy generation and involving a set of relevant stakeholders.
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    1515 * '''SPECS WP52 Needs''' (''Statistical downscaling''). To adapt and calibrate statistical methodologies for seasonal-to-decadal (s2d) downscaling.
    1616
    17 3. '''Data Homogeneization:''' The different nature of the various climate products, models and variables, and the idiosyncratic naming and storage conventions often applied by the modelling centres, makes necessary a previous homogeneization across datasets in order to implement a truly user-friendly toolbox for data access.  To this aim, a [wiki:./RPackage R package] for data access is currently under development. Data homogeneization is achieved through the creation of a common vocabulary. The particular variables of each dataset are then translated -and transformed if necessary- into the common vocabulary by means of a ''dictionary''. Both features -vocabulary and dictionary- are described [wiki:./RPackage/Homogeneization here].
     173. '''Data Homogeneization:''' The different nature of the various climate products, models and variables, and the idiosyncratic naming and storage conventions often applied by the modelling centres, makes necessary a previous homogeneization across datasets in order to implement a truly user-friendly toolbox for data access.  To this aim, a [wiki:../RPackage R package] for data access is currently under development. Data homogeneization is achieved through the creation of a common vocabulary. The particular variables of each dataset are then translated -and transformed if necessary- into the common vocabulary by means of a ''dictionary''. Both features -vocabulary and dictionary- are described [wiki:../RPackage/Homogeneization here].