Private retrieval, computing, and learning: Recent progress and future challenges

S Ulukus, S Avestimehr, M Gastpar… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
Most of our lives are conducted in the cyberspace. The human notion of privacy translates
into a cyber notion of privacy on many functions that take place in the cyberspace. This …

[HTML][HTML] Secondary ice production processes in wintertime alpine mixed-phase clouds

P Georgakaki, G Sotiropoulou, É Vignon… - Atmospheric …, 2022 - acp.copernicus.org
Observations of orographic mixed-phase clouds (MPCs) have long shown that measured ice
crystal number concentrations (ICNCs) can exceed the concentration of ice nucleating …

Distinct secondary ice production processes observed in radar Doppler spectra: insights from a case study

AC Billault-Roux, P Georgakaki… - Atmospheric …, 2023 - acp.copernicus.org
Secondary ice production (SIP) has an essential role in cloud and precipitation
microphysics. In recent years, substantial insights were gained into SIP by combining …

[HTML][HTML] Retrieving ice-nucleating particle concentration and ice multiplication factors using active remote sensing validated by in situ observations

J Wieder, N Ihn, C Mignani, M Haarig… - Atmospheric …, 2022 - acp.copernicus.org
Understanding the evolution of the ice phase within mixed-phase clouds (MPCs) is
necessary to reduce uncertainties related to the cloud radiative feedback in climate …

[HTML][HTML] Effects of secondary ice processes on a stratocumulus to cumulus transition during a cold-air outbreak

M Karalis, G Sotiropoulou, SJ Abel, E Bossioli… - Atmospheric …, 2022 - Elsevier
The representation of boundary layer clouds during marine Cold-Air Outbreaks (CAO)
remains a great challenge for weather prediction models. Recent studies have shown that …

RaFSIP: Parameterizing ice multiplication in models using a machine learning approach

P Georgakaki, A Nenes - Journal of Advances in Modeling …, 2024 - Wiley Online Library
Accurately representing mixed‐phase clouds (MPCs) in global climate models (GCMs) is
critical for capturing climate sensitivity and Arctic amplification. Secondary ice production …

[HTML][HTML] The influence of multiple groups of biological ice nucleating particles on microphysical properties of mixed-phase clouds observed during MC3E

S Patade, D Waman, A Deshmukh… - Atmospheric …, 2022 - acp.copernicus.org
A new empirical parameterization (EP) for multiple groups of primary biological aerosol
particles (PBAPs) is implemented in the aerosol–cloud model (AC) to investigate their roles …

[HTML][HTML] Investigating secondary ice production in a deep convective cloud with a 3D bin microphysics model: Part II-Effects on the cloud formation and development

P Grzegorczyk, W Wobrock, A Canzi, L Niquet… - Atmospheric …, 2025 - Elsevier
Secondary ice production (SIP) leads to the formation of new ice particles from preexisting
ones. Besides generating ice crystals, SIP can also influence cloud characteristics, including …

[HTML][HTML] Investigating secondary ice production in a deep convective cloud with a 3D bin microphysics model: Part I-Sensitivity study of microphysical processes …

P Grzegorczyk, W Wobrock, A Canzi, L Niquet… - Atmospheric …, 2025 - Elsevier
Secondary ice production (SIP) is a crucial phenomenon for explaining the formation of ice
crystal clouds, especially when addressing the discrepancies between observed ice crystal …

Sensitivity of Arctic clouds to ice microphysical processes in the NorESM2 climate model

G Sotiropoulou, A Lewinschal, P Georgakaki… - Journal of …, 2024 - journals.ametsoc.org
Ice formation remains one of the most poorly represented microphysical processes in
climate models. While primary ice production (PIP) parameterizations are known to have a …