Journal cover Journal topic
Earth System Science Data The data publishing journal
Journal topic

Journal metrics

Journal metrics

  • IF value: 10.951 IF 10.951
  • IF 5-year value: 9.899 IF 5-year
    9.899
  • CiteScore value: 9.74 CiteScore
    9.74
  • SNIP value: 3.111 SNIP 3.111
  • IPP value: 8.99 IPP 8.99
  • SJR value: 5.229 SJR 5.229
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 38 Scimago H
    index 38
  • h5-index value: 33 h5-index 33
Discussion papers
https://doi.org/10.5194/essd-2019-130
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-2019-130
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: data description paper 13 Aug 2019

Submitted as: data description paper | 13 Aug 2019

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Earth System Science Data (ESSD).

Disdrometer measurements under Sense-City rainfall simulator

Auguste Gires1, Philippe Bruley2, Anne Ruas2, Daniel Schertzer1, and Ioulia Tchiguirinskaia1 Auguste Gires et al.
  • 1HM&Co, Ecole des Ponts, UPE, Champs-sur-Marne, France
  • 2COSYS, IFSTTAR, Champs-sur-Marne, France

Abstract. The Hydrology, Meteorology and Complexity laboratory of Ecole des Ponts ParisTech (hmco.enpc.fr) and the Sense-City consortium (http://sense-city.ifsttar.fr/) make available a data set of optical disdrometers measurements coming from a cam-paign that took place in September 2017 under the rainfall simulator of the Sense-City climatic chamber which is located near Paris. Two OTT Parsivel2 were used. The size and velocity of drops falling through the sampling area of the devices of roughly few tens of cm2 is computed by disdrometers. This enables to estimate the drop size distribution and further study rainfall micro-physics or kinetic energy for example. Raw data, i.e. basically a matrix containing a number of drops according to classes of size and velocity, along with more aggregated ones such rain rate or drop size distribution with filtering is available.

Link to the data set (Gires et al., 2019): http://doi.org/10.5281/zenodo.3347051.

Auguste Gires et al.
Interactive discussion
Status: open (until 27 Nov 2019)
Status: open (until 27 Nov 2019)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
[Subscribe to comment alert] Printer-friendly Version - Printer-friendly version Supplement - Supplement
Auguste Gires et al.
Data sets

Data for "Disdrometer measurements under Sense-City rainfall simulator" A. Gires, P. Bruley, A. Ruas, D. Schertzer, and I. Tchiguirinskaia https://doi.org/10.5281/zenodo.3347051

Auguste Gires et al.
Viewed  
Total article views: 171 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
133 36 2 171 2 3
  • HTML: 133
  • PDF: 36
  • XML: 2
  • Total: 171
  • BibTeX: 2
  • EndNote: 3
Views and downloads (calculated since 13 Aug 2019)
Cumulative views and downloads (calculated since 13 Aug 2019)
Viewed (geographical distribution)  
Total article views: 124 (including HTML, PDF, and XML) Thereof 122 with geography defined and 2 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Cited  
Saved  
No saved metrics found.
Discussed  
No discussed metrics found.
Latest update: 21 Oct 2019
Download
Short summary
The Hydrology, Meteorology and Complexity laboratory of Ecole des Ponts ParisTech (hmco.enpc.fr) and the Sense-City consortium (http://sense-city.ifsttar.fr/) make available a data set of optical disdrometers measurements coming from a campaign that took place in September 2017 under the rainfall simulator of the Sense-City climatic chamber which is located near Paris.
The Hydrology, Meteorology and Complexity laboratory of Ecole des Ponts ParisTech (hmco.enpc.fr)...
Citation