1,720,990 research outputs found
CrocO: manuscript Dataset
No full textThis archive includes the dataset associated with the release of CrocO_v1.0 snowpack ensemble data assimilation system in the submitted manuscript:
CrocO : a Particle Filter to assimilate snowpack observations in a spatialised framework, Bertrand Cluzet, Matthieu Lafaysse, Emmanuel Cosme, Clement Albergel, Louis-François Meunier, and Marie Dumont, Geoscientific Model development, 2021, doi:10.5194/gmd-14-1595-2021.
CrocO_toolbox, the python code used to launch the simulations and produce this dataset is available on github: https://github.com/bertrandcz/CrocO_toolbox, tag CrocO_v1.0, and at the associated zenodo archive: https://doi.org/10.5281/zenodo.3784980
The model source code and required librairies (open-source) are archived at: https://doi.org/10.5281/zenodo.3774861
This archive includes the several directories :
namelist_conf : the original namelists and configuration files used to perform the assimilation experiments
notebooks : notebooks to produce the figures of the article and select the openloop members used as synthetic observations
s2m/12/* :
simulation outputs required to reproduce the article figures (openloop simulation and assimilation experiments
spinup: files used to initialize the simulations
safran/12/* :
reference forcing before perturbations, originating from SAFRAN reanalyses (https://doi.org/10.25326/37).
original impurities forcing file from MOCAGE model and extracted by F.Tuzet at the Col du Lautaret.
scores : the scores used in Figs. 6-7 of the manuscript
CrocO: model source code and external librairies
No full textThis archive includes the source librairies of CrocO_v1.0 model used in the submitted manuscript:
CrocO : a Particle Filter to assimilate snowpack observations in a spatialised framework, Bertrand Cluzet, Matthieu Lafaysse, Emmanuel Cosme, Clement Albergel, Louis-François Meunier, and Marie Dumont, Geoscientific Model development, 2021, doi:10.5194/gmd-14-1595-2021
It includes:
SURFEX.zip : the Fortran source code for the model core of CrocO_v1.0 snowpack data assimilation system. This package includes Crocus snowpack model and its Particle Filter. Open-source software (CECILL-C license). Documentation and install procedure available on the git repo : https://opensource.umr-cnrm.fr/projects/surfex_git2, tag CrocO_v1.0. (recommended)
snowtools_git.zip: python package used to pre-process, run and post-process simulations with the SURFEX-Crocus snowpack model. Within CrocO, it is used to launch simulations on Météo-France HPC environment and for some post-processing.
snowtools is available on the open-source git repository : http://opensource.umr-cnrm.fr/projects/snowtools_git, tag CrocO_v1.0 (recommended)contains
vortex_cen.zip: python package gathering all environment-specific codes of Météo-France modelling systems relative to its HPC computing system. Can not be applied in other HPC environment. Open-source software (CECILL-C license).
Download and instructions : https://opensource.umr-cnrm.fr/projects/vortex/ Manuscript version : tag CrocO_v1.0
NB :
CrocO_toolbox, the code used to prepare, run, post-process CrocO simulations and produce the manuscript figures is available on github : https://github.com/bertrandcz/CrocO_toolbox/ tag Croco_v1.0 and at the zenodo archive https://doi.org/10.5281/zenodo.3784980
the article database is available on the zenodo archive
https://doi.org/10.5281/zenodo.377500
CrocO_v1.1: model source code and external libraries
No full textThis archive includes the source librairies of CrocO_v1.1 model used in the submitted manuscript:
Propagating information from snow observations with CrocO ensemble data assimilation system: a 10-years case study over a snow depth observation network, Bertrand Cluzet, Matthieu Lafaysse, César Deschamps-Berger, Matthieu Vernay, and Marie Dumont, (submitted)
It includes:
SURFEX.zip : the Fortran source code for the model core of CrocO_v1.0 snowpack data assimilation system. This package includes Crocus snowpack model and its Particle Filter. Open-source software (CECILL-C license). Documentation and install procedure available on the git repo : https://opensource.umr-cnrm.fr/projects/surfex_git2, tag CrocO_v1.1. (recommended)
snowtools_git.zip: python package used to pre-process, run and post-process simulations with the SURFEX-Crocus snowpack model. Within CrocO, it is used to launch simulations on Météo-France HPC environment and for some post-processing.
snowtools is available on the open-source git repository : http://opensource.umr-cnrm.fr/projects/snowtools_git, tag CrocO_v1.1 (recommended)contains
vortex.zip: python package gathering all environment-specific codes of Météo-France modelling systems relative to its HPC computing system. Can not be applied in other HPC environment. Open-source software (CECILL-C license).
Download and instructions : https://opensource.umr-cnrm.fr/projects/vortex/ Manuscript version : tag CrocO_v1.1
NB :
CrocO_toolbox, the code used to prepare, run, post-process CrocO simulations and produce the manuscript figures is available on github : https://github.com/bertrandcz/CrocO_toolbox/ tag Croco_v1.1 and at the zenodo archive ????
the article database is available on the zenodo archive ???
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Review of "A Particle Filter scheme for multivariate data assimilation into a point-scale snowpack model in Alpine environment" by Piazzi et al
No full textVariations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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