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Maryam Ramezani Ziarani
Maryam Ramezani Ziarani
Mathematical Institute for Machine Learning and Data Science at the Catholic University of Eichstätt
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Title
Cited by
Cited by
Year
Using convective available potential energy (CAPE) and dew-point temperature to characterize rainfall-extreme events in the south-central Andes
M Ramezani Ziarani, B Bookhagen, T Schmidt, J Wickert, A de La Torre, ...
Atmosphere 10 (7), 379, 2019
172019
A Model for the Relationship between Rainfall, GNSS-Derived Integrated Water Vapour, and CAPE in the Eastern Central Andes
M Ramezani Ziarani, B Bookhagen, T Schmidt, J Wickert, A de la Torre, ...
Remote Sens. 13 (18), 3788, 2021
102021
On the behavior of rainfall maxima at the eastern Andes
R Hierro, YB Fonseca, MR Ziarani, P Llamedo, T Schmidt, A de la Torre, ...
Atmospheric research 234, 104792, 2020
72020
Characterization of atmospheric processes related to hydro-meteorological extreme events over the south-central Andes
M Ramezani Ziarani
Universität Potsdam, 2020
12020
Investigating the ozone-climate feedback induced by ultraviolet solar radiation and energetic particles using ICON-ART-LINOZ
MR Ziarani, M Sinnhuber, MJ Prather, T Reddmann
AGU Fall Meeting 2021, 2021
2021
Investigating the ozone-climate feedback of geomagnetic forcing using ICON-ART-LINOZ
MS Maryam Ramezani Ziarani, Thomas Reddmann, Katerina Kusakova
Quadrennial Ozone Symposium2021, 2021
2021
Atmospheric parameters characterizing extreme rainfall events in the south-central Andes
JW Maryam RamezaniZiarani, Bodo Bookhagen, Torsten Schmidt
EGU General Assembly 2018 20 (EGU2018-17392, 2018), 2018
2018
Determining hydroclimatic extreme events over the south-central Andes
JV Maryam RamezaniZiarani, Bodo Bookhagen, Torsten Schmidt, Jens Wickert ...
EGU General Assembly 2017 19 (EGU2017-10978, 2017), 2017
2017
Stratospheric gravity wave momentum fluxes from radio occultations
T Schmidt, J Wickert, A De la Torre, P Alexander, P Llamedo, ...
41st COSPAR Scientific Assembly 41, C2. 2-3-16, 2016
2016
Assessment of Medicane characteristics in reanalysis and station data
MR Ziarani
Universität Hamburg, School of Integrated Climate System Science (SICSS) Hamburg, 2015
2015
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Articles 1–10