TY - JOUR
T1 - Disdrometer measurements under Sense-City rainfall simulator
AU - Gires, Auguste
AU - Bruley, Philippe
AU - Ruas, Anne
AU - Schertzer, Daniel
AU - Tchiguirinskaia, Ioulia
N1 - Publisher Copyright:
© Author(s) 2020.
PY - 2020/4/14
Y1 - 2020/4/14
N2 - The Hydrology, Meteorology and Complexity Laboratory of École des Ponts ParisTech (http://hmco.enpc.fr, last access: 24 March 2020) and the Sense-City consortium (http://sense-city.ifsttar.fr/, last access: 24 March 2020) made available a dataset of optical disdrometer measurements stemming from a campaign that took place in September 2017 under the rainfall simulator of the Sense-City climatic chamber, which is located near Paris. Two OTT Parsivel2 disdrometers were used. The size and velocity of drops falling through the sampling area of the devices of roughly a few tens of square centimetres are computed by disdrometers. This enables the estimation of the drop size distribution and the further study of rainfall microphysics or kinetic energy for example. Raw data-basically a matrix containing a number of drops according to classes of size and velocity, along with more aggregated ones such as rain rate and drop size distribution with filtering-are available. The dataset is publicly available at https://doi.org/10.5281/zenodo.3347051(Gires et al., 2019).
AB - The Hydrology, Meteorology and Complexity Laboratory of École des Ponts ParisTech (http://hmco.enpc.fr, last access: 24 March 2020) and the Sense-City consortium (http://sense-city.ifsttar.fr/, last access: 24 March 2020) made available a dataset of optical disdrometer measurements stemming from a campaign that took place in September 2017 under the rainfall simulator of the Sense-City climatic chamber, which is located near Paris. Two OTT Parsivel2 disdrometers were used. The size and velocity of drops falling through the sampling area of the devices of roughly a few tens of square centimetres are computed by disdrometers. This enables the estimation of the drop size distribution and the further study of rainfall microphysics or kinetic energy for example. Raw data-basically a matrix containing a number of drops according to classes of size and velocity, along with more aggregated ones such as rain rate and drop size distribution with filtering-are available. The dataset is publicly available at https://doi.org/10.5281/zenodo.3347051(Gires et al., 2019).
UR - https://www.scopus.com/pages/publications/85083436061
U2 - 10.5194/essd-12-835-2020
DO - 10.5194/essd-12-835-2020
M3 - Article
AN - SCOPUS:85083436061
SN - 1866-3508
VL - 12
SP - 835
EP - 845
JO - Earth System Science Data
JF - Earth System Science Data
IS - 2
ER -