Articles | Volume 12, issue 2
https://doi.org/10.5194/essd-12-835-2020
https://doi.org/10.5194/essd-12-835-2020
Data description paper
 | 
14 Apr 2020
Data description paper |  | 14 Apr 2020

Disdrometer measurements under Sense-City rainfall simulator

Auguste Gires, Philippe Bruley, Anne Ruas, Daniel Schertzer, and Ioulia Tchiguirinskaia

Related authors

Multifractal analysis of wind turbine power and rainfall from an operational wind farm – Part 1: Wind turbine power and the associated biases
Jerry Jose, Auguste Gires, Yelva Roustan, Ernani Schnorenberger, Ioulia Tchiguirinskaia, and Daniel Schertzer
Nonlin. Processes Geophys., 31, 587–602, https://doi.org/10.5194/npg-31-587-2024,https://doi.org/10.5194/npg-31-587-2024, 2024
Short summary
Multifractal analysis of wind turbine power and rainfall from an operational wind farm – Part 2: Joint analysis of available wind power and rain intensity
Jerry Jose, Auguste Gires, Ernani Schnorenberger, Yelva Roustan, Daniel Schertzer, and Ioulia Tchiguirinskaia
Nonlin. Processes Geophys., 31, 603–624, https://doi.org/10.5194/npg-31-603-2024,https://doi.org/10.5194/npg-31-603-2024, 2024
Short summary
3D trajectories and velocities of rainfall drops in a multifractal turbulent wind field
Auguste Gires, Ioulia Tchiguirinskaia, and Daniel Schertzer
Atmos. Meas. Tech., 15, 5861–5875, https://doi.org/10.5194/amt-15-5861-2022,https://doi.org/10.5194/amt-15-5861-2022, 2022
Short summary
Combined high-resolution rainfall and wind data collected for 3 months on a wind farm 110 km southeast of Paris (France)
Auguste Gires, Jerry Jose, Ioulia Tchiguirinskaia, and Daniel Schertzer
Earth Syst. Sci. Data, 14, 3807–3819, https://doi.org/10.5194/essd-14-3807-2022,https://doi.org/10.5194/essd-14-3807-2022, 2022
Short summary
Measurements of the water balance components of a large green roof in the greater Paris area
Pierre-Antoine Versini, Filip Stanic, Auguste Gires, Daniel Schertzer, and Ioulia Tchiguirinskaia
Earth Syst. Sci. Data, 12, 1025–1035, https://doi.org/10.5194/essd-12-1025-2020,https://doi.org/10.5194/essd-12-1025-2020, 2020
Short summary

Related subject area

Meteorology
Homogenized daily sunshine duration over China from 1961 to 2022
Yanyi He, Kaicun Wang, Kun Yang, Chunlüe Zhou, Changkun Shao, and Changjian Yin
Earth Syst. Sci. Data, 17, 1595–1611, https://doi.org/10.5194/essd-17-1595-2025,https://doi.org/10.5194/essd-17-1595-2025, 2025
Short summary
Observations of surface energy fluxes and meteorology in the seasonally snow-covered high-elevation East River watershed during SPLASH, 2021–2023
Christopher J. Cox, Janet M. Intrieri, Brian J. Butterworth, Gijs de Boer, Michael R. Gallagher, Jonathan Hamilton, Erik Hulm, Tilden Meyers, Sara M. Morris, Jackson Osborn, P. Ola G. Persson, Benjamin Schmatz, Matthew D. Shupe, and James M. Wilczak
Earth Syst. Sci. Data, 17, 1481–1499, https://doi.org/10.5194/essd-17-1481-2025,https://doi.org/10.5194/essd-17-1481-2025, 2025
Short summary
MDG625: a daily high-resolution meteorological dataset derived by a geopotential-guided attention network in Asia (1940–2023)
Zijiang Song, Zhixiang Cheng, Yuying Li, Shanshan Yu, Xiaowen Zhang, Lina Yuan, and Min Liu
Earth Syst. Sci. Data, 17, 1501–1514, https://doi.org/10.5194/essd-17-1501-2025,https://doi.org/10.5194/essd-17-1501-2025, 2025
Short summary
The SAIL dataset of marine atmospheric electric field observations over the Atlantic Ocean
Susana Barbosa, Nuno Dias, Carlos Almeida, Guilherme Amaral, António Ferreira, António Camilo, and Eduardo Silva
Earth Syst. Sci. Data, 17, 1393–1405, https://doi.org/10.5194/essd-17-1393-2025,https://doi.org/10.5194/essd-17-1393-2025, 2025
Short summary
Global projections of heat stress at high temporal resolution using machine learning
Pantelis Georgiades, Theo Economou, Yiannis Proestos, Jose Araya, Jos Lelieveld, and Marco Neira
Earth Syst. Sci. Data, 17, 1153–1171, https://doi.org/10.5194/essd-17-1153-2025,https://doi.org/10.5194/essd-17-1153-2025, 2025
Short summary

Cited articles

Abd Elbasit, M. A. M., Yasuda, H., Salmi, A., and Anyoji, H.: Characterization of rainfall generated by dripper-type rainfall simulator using piezoelectric transducers and its impact on splash soil erosion, Earth Surf. Proc. Land., 35, 466–475, https://doi.org/10.1002/esp.1935, 2010. a, b
Angulo-Martínez, M. and Barros, A.: Measurement uncertainty in rainfall kinetic energy and intensity relationships for soil erosion studies: An evaluation using PARSIVEL disdrometers in the Southern Appalachian Mountains, Geomorphology, 228, 28–40, https://doi.org/10.1016/j.geomorph.2014.07.036, 2015. a, b
Auerswald, K., Kainz, M., Schröder, D., and Martin, W.: Comparison of German and Swiss Rainfall Simulators – Experimental Setup, Z. Pflanz. Bodenkunde, 155, 1–5, https://doi.org/10.1002/jpln.19921550102, 1992. a
Battaglia, A., Rustemeier, E., Tokay, A., Blahak, U., and Simmer, C.: PARSIVEL Snow Observations: A Critical Assessment, J. Atmos. Ocean. Tech., 27, 333–344, https://doi.org/10.1175/2009JTECHA1332.1, 2010. a
Beard, K. V.: Terminal velocity adjustment for cloud and precipitation aloft, J. Atmos. Sci, 34, 1293–1298, 1977. a
Download
Short summary
The Hydrology, Meteorology and Complexity Laboratory of École des Ponts ParisTech (hmco.enpc.fr) and the Sense-City consortium (http://sense-city.ifsttar.fr/) make 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.
Share
Altmetrics
Final-revised paper
Preprint