Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Joël Jaffrain"'
Autor:
Marc Schleiss, Vojtech Bares, Joël Jaffrain, Alexis Berne, Martin Fencl, Anna Spackova, Joerg Rieckermann
Publikováno v:
Earth System Science Data, 13(8)
Earth System Science Data, Vol 13, Pp 4219-4240 (2021)
Earth System Science Data, Vol 13, Pp 4219-4240 (2021)
Commercial microwave links (CMLs) in telecommunication networks can provide relevant information for remote sensing of precipitation and other environmental variables, such as path-averaged drop size distribution, evaporation, or humidity. The CoMMon
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::67bcb27c122595f3b8334ed483798941
https://essd.copernicus.org/articles/13/4219/2021/
https://essd.copernicus.org/articles/13/4219/2021/
Autor:
Anna Špačková, Vojtěch Bareš, Martin Fencl, Marc Schleiss, Joël Jaffrain, Alexis Berne, Jörg Rieckermann
Commercial microwave links (CML) in telecommunication networks can provide relevant information for remote sensing of precipitation and other environmental variables, such as path-averaged drop size distribution, evaporation or humidity. To address t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33463137bc926685016f560471473929
https://essd.copernicus.org/preprints/essd-2021-3/
https://essd.copernicus.org/preprints/essd-2021-3/
Autor:
Alexis Berne, Joël Jaffrain
Publikováno v:
Journal of Applied Meteorology and Climatology. 51:941-953
The spatial structure of the raindrop size distribution (DSD) conveys crucial information for reliable quantitative estimation of rainfall using remote sensing techniques. To investigate this question, a network of 16 optical disdrometers has been de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::03179621f29e359c4f6fa91ca70f5157
https://doi.org/10.1175/jamc-d-11-0136.1
https://doi.org/10.1175/jamc-d-11-0136.1
Autor:
Alexis Berne, Joël Jaffrain
Publikováno v:
Journal of Applied Meteorology and Climatology. 51:780-785
This work aims at quantifying the variability of the parameters of the power laws used for rain-rate estimation from radar data, on the basis of raindrop size distribution measurements over a typical weather radar pixel. Power laws between the rain r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1e1f56545e868c35b074f3dd12dc845
https://doi.org/10.1175/jamc-d-11-0185.1
https://doi.org/10.1175/jamc-d-11-0185.1
Publikováno v:
Geophysical Research Letters. 38
Rainfall intermittency is analyzed and quantified at small spatial and temporal scales using 2 years of radar and disdrometer data collected in Switzerland. Analytical models are fitted and used to describe the intermittency for spatial scales betwee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ddb3e365eb982725ae922df9cf172d5
https://doi.org/10.1029/2011gl049000
https://doi.org/10.1029/2011gl049000
Publikováno v:
Water Resources Research. 47
Insight into the spatial variability of the (rain) drop size distribution (DSD), and hence rainfall, is of primary importance for various environmental applications like cloud/precipitation microphysical processes, numerical weather modeling, and est
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09981cbac3485ef446b5561f4d0983a8
https://doi.org/10.1029/2010wr009872
https://doi.org/10.1029/2010wr009872
Publikováno v:
J. Hydrometeor.
A method for the stochastic simulation of (rain)drop size distributions (DSDs) in space and time using geostatistics is presented. At each pixel, the raindrop size distribution is described by a Gamma distribution with two or three stochastic paramet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5fb4dc7059fbf1ae2ad241dd51507313
https://infoscience.epfl.ch/record/175038
https://infoscience.epfl.ch/record/175038
Autor:
Alexis Berne, Joël Jaffrain
The variability of the (rain)drop size distribution (DSD) in time and space is an intrinsic property of rainfall, which is of primary importance for various environmental fields such as remote sensing of precipitation, for example. DSD observations a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b8b1beae215fd8bbe5085968456b628
https://infoscience.epfl.ch/record/162477
https://infoscience.epfl.ch/record/162477
Like precipitation, the raindrop size distribution (DSD) is strongly variable in space and time. Understanding this variability is important for quantifying and minimizing some of the uncertainties in radar measurements and their interpretation in te
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3851fa8ca95b48f1941069ac03741d2
https://infoscience.epfl.ch/record/175020
https://infoscience.epfl.ch/record/175020