-------- Forwarded Message --------
Subject: Two postdoc positions on particle-based cloud modeling at Univ
of Hyogo (Moonshot and UAEREP)
Date: Wed, 8 Oct 2025 16:36:45 +0900
From: Shin-ichiro Shima <s_shima(a)gsis.u-hyogo.ac.jp>
Dear colleagues,
Univ of Hyogo (Kobe, Japan) is hiring two project researchers on
particle-based cloud modeling:
- Moonshot Goal 8 (1.25-6.25 years)
https://s-shima-lab.sakura.ne.jp/jobs/postdoc-250527
- UAEREP (2 years)
https://s-shima-lab.sakura.ne.jp/jobs/postdoc-250725
The application deadline is
October 28th 2025
I am sorry for the short notice, but I would really appreciate it if
you could forward these opportunities to anyone who might be
interested.
Thank you!
Best regards,
Shin-ichiro
--
----------------------------------------------------------
Shin-ichiro Shima/島伸一郎 (Professor)
Graduate School of Information Science, University of Hyogo, Kobe, Japan.
Web: https://s-shima-lab.sakura.ne.jp
Tel,FAX: 078-303-1995
E-mail : s_shima(at.mark)gsis.u-hyogo.ac.jp
----------------------------------------------------------
-------- Forwarded Message --------
Date: Fri, 25 Jul 2025 21:45:30 +0200
From: "Hoffmann, Fabian" <f.hoffmann(a)fu-berlin.de>
Subject: Ph.D. Position in Cloud Physics at the Free University of
Berlin, Germany
Hello Everyone,
We seek a motivated research assistant (Ph.D. student) to support our
ongoing research on mixed-phase clouds in our newly established group at
the Free University of Berlin, Germany. Particularly, we would like to
address mixed-phase processes in deep convective clouds to understand
how these clouds interact with aerosol. Accordingly, certain aspects of
our group's Lagrangian cloud microphysical model require further
development or adaptation. Within this general setting, the research
assistant has the opportunity to address their own topics. Beyond
research, the research assistant is expected to support teaching at the
Institute of Meteorology (e.g., by teaching exercises and tutorials, and
supervising Bachelor?s and Master's students).
For more information, please check the official announcement:
https://www.fu-berlin.de/universitaet/beruf-karriere/jobs/english/GW-WiMi-_…
Best,
Fabian Hoffmann
------------------------------------------
Dr. Fabian Hoffmann
Free University of Berlin
Institute of Meteorology
Carl-Heinrich-Becker-Weg 6-10
12165 Berlin, Germany
------------------------------------------
Dear Aerosol & Cloud Modellers,
We are pleased to announce the call for abstracts for an AMS Annual
Meeting session on **Advances in numerical modeling of aerosol-cloud
interactions: moment-, bin- and particle-resolved methods and beyond**.
The session is organised jointly between the 18th Symposium on Aerosol
Cloud Climate Interactions, the Third Symposium on Cloud Physics and the
Fifth Symposium of Community Modeling and Innovation.
Please mark in your calendars:
- abstract submission deadline: 14 Aug 2025
- meeting in Houston: 25-29 Jan 2026
Session description is provided at:
https://ams.confex.com/ams/106ANNUAL/meetingapp.cgi/Session/72794
Abstract submission system is open at:
https://ams.confex.com/ams/106ANNUAL/cfp.cgi
Looking forward to meeting you in Houston or online (hybrid format).
Please forward this message to your collaborators and networks.
Sylwester Arabas @agh.edu.pl
Emily de Jong @llnl.gov
Nicole Riemer @illinois.edu
Lin Lin @llnl.gov
Adele Igel @ucdavis.edu
P.S. we're using the particle-based-cloud-modelling(a)mail.agh.edu.pl
mailing list for relevant announcements, to subscribe (if not already
subscribed), visit: https://particle-based-cloud-modelling.github.io/
--
Environmental Physics Group, AGH University of Kraków, Poland
sylwester.arabas(a)agh.edu.pl | +48502254779 | https://zfs.agh.edu.pl/
-------- Forwarded Message --------
Subject: Postdoc position at Notre Dame in air-sea interaction and
droplet microphysics
Date: Tue, 20 May 2025 20:44:41 -0400
From: David Richter <David.Richter.26(a)nd.edu>
Dear colleagues,
I am hiring a postdoctoral researcher at the broad intersection of
air-sea interaction, wave-induced turbulence, and spray/marine
aerosol/cloud microphysics. The specific goals and scientific questions
will depend on the expertise of the candidate, but the idea is to use
LES and Lagrangian droplet modeling to investigate process-level
questions in the areas of fluxes, droplet-turbulence interaction, and
wave influences on surface layer turbulence and droplet/aerosol transport.
I have attached an advertisement here, and I would greatly appreciate it
if you could forward this to or recommend anyone you know who might be
eligible and interested.
Many thanks,
--
David Richter
Professor
Department of Civil and Environmental Engineering and Earth Sciences
University of Notre Dame
120A Cushing Hall
Office: 574-631-4839
Email: David.Richter.26(a)nd.edu <mailto:David.Richter.26@nd.edu>
Website: http://nd.edu/~drichte2 <http://nd.edu/~drichte2>
-------- Forwarded Message --------
Subject: [EXT] Seminar mathematics and atmospheric physics on May 21
Date: Mon, 19 May 2025 09:17:06 +0200
From: Peter Spichtinger <spichtin(a)uni-mainz.de>
Dear all,
this is a kind reminder for the next talk in our monthly seminar on
mathematics and atmospheric physics.
On Wednesday, May 21, Axel Seifert (German Weather Service) will talk about
Ice microphysics in higher dimensions: super-particles and the geometry
of snowflakes
Abstract:
Understanding snowflake formation requires modeling the interplay
between complex microphysical processes and environmental conditions. In
this talk, I will present ice microphysics in a higher-dimensional phase
space using a stochastic super-particle approach, where each numerical
particle represents an ensemble of real ice crystals. Building on the
McSnow modeling framework—which includes detailed habit prediction for
ice particles—we extend the representation of snowflake geometry to more
realistically capture particle growth and aggregation. In the first part
of the talk, I introduce an ML-based coarse-graining method that enables
the derivation of a multi-moment, P3-like bulk microphysics scheme
directly from super-particle simulations—providing a systematic link
between Lagrangian and Eulerian modeling frameworks. In the second part,
the focus shifts to the variability in the geometry of aggregate
snowflakes. We show that the maximum dimension of aggregates — given
fixed mass and monomer count — follows a lognormal distribution,
revealing the stochastic nature of the aggregation process. This
rigorous treatment offers new insights into the morphological diversity
of snowflakes and contributes to improved representations of ice
particles in weather and climate models. And even if it doesn’t make the
forecasts any better—or solve the problem of climate change—we gain a
deeper understanding of clouds, and have some fun doing applied math
along the way.
The seminar will start at 16:00 local time (i.e. 14 UTC). The zoom link
is provided below (starting already at 15:45 local time).
The next dates for the seminar are as follows
June 4 Jana de Wiljes, TU Ilmenau
Please also check the homepage of the seminar:
https://www.staff.uni-mainz.de/spichtin/seminar.html
Best,
Peter
PS: Please feel free to distribute the announcement to others
Reminder: The registration and abstract submission for the SCALES conference
https://model.uni-mainz.de/scales-conference-2025/
are still open ...
-----------------------
Peter Spichtinger is inviting you to a scheduled Zoom meeting.
Topic: Seminar Mathematics and Atmospheric Physics
Time: May 21, 2025 03:45 PM Amsterdam, Berlin, Rome, Stockholm, Vienna
Join Zoom Meeting
https://uni-mainz-de.zoom.us/j/68522641413?pwd=SX2azpaqe4yBP0Cy907rvhVk27Ky…
Meeting ID: 685 2264 1413
Passcode: 293629
---
One tap mobile
+496950500952,,68522641413#,,,,*293629# Germany
--
----------------------------------------------------------------
Prof. Dr. Peter Spichtinger
Theoretical cloud physics
Institute for Atmospheric Physics (IPA)
Johannes Gutenberg University Mainz
J.-J.-Becherweg 21, 55128 Mainz, Germany
Office: 05-163
Phone: +49 (0) 6131 39 - 23157
Fax: +49 (0) 6131 39 - 23532
email:spichtin@uni-mainz.de
https://www.staff.uni-mainz.de/spichtin/https://theoryofclouds.ipa.uni-mainz.de/https://binary.uni-mainz.de/https://model.uni-mainz.de/
----------------------------------------------------------------
Univ. Warsaw webinar by Emma Ware (UCDavis & agh.edu.pl)
Fri May 16 at 1:15 pm CET (8:15 pm in Japan, 7:15 am East Coast)
title: Adaptive Time-Stepping within the Super-Droplet Method
Monte-Carlo Coagulation Scheme
zoom link:
https://uw-edu-pl.zoom.us/j/92869816385?pwd=OGGyBBxKufiLUNw1jbRmriWoWGKYQE.1
(Meeting ID: 928 6981 6385 Passcode: 447840)
-------- Forwarded Message --------
Subject: [IGF] Seminarium, 2025-05-16 13:15, [...] and online via Zoom
Date: Wed, 14 May 2025 08:00:06 -0000
To: zfa_seminarium(a)fuw.edu.pl
*Adaptive Time-Stepping within the Super-Droplet Method Monte-Carlo
Coagulation Scheme*
https://www.igf.fuw.edu.pl/pl/seminars/presentation/adaptive-time-stepping-…
Emma Ware
Akademia Górniczo-Hutnicza
We are presenting an analysis on an adaptive time-stepping scheme for
the Super-Droplet Method (SDM) introduced in prior work to improve the
efficiency and accuracy of probabilistic droplet coalescence in cloud
microphysics. Superdroplets are computational particles that represent
weighted ensembles of real cloud droplets, enabling high-fidelity
representations of microphysical processes like collision–coalescence.
SDM, first introduced by Shima et al. (2009), is a Monte Carlo algorithm
that selects superdroplet pairs linearly within each timestep and
simulation volume to test for collisions. The algorithm also includes
logic that allows multiple collisions between the same candidate pair,
accounting for the likelihood of repeated interactions within a single
timestep.
Adaptive time-stepping dynamically adjusts simulation time steps to
control the coalescence deficit: a quantifiable error that arises when
the available droplet population within superdroplet candidate pairs is
not large enough to undergo the expected collision events. While SDM
exhibits inherent statistical spread due to its probabilistic nature,
the deficit represents a systemic underestimation bias of collision events.
To validate the adaptive scheme, we implement it independently in two
open-source models, PySDM and Droplets.jl. The results demonstrate
consistency across platforms. Using the classical Golovin test case, we
compare SDM and adaptive SDM scheme in terms of convergence,
computational cost, and fidelity. We also draw conceptual parallels to
the Weighted Flow Algorithm (WFA) Monte Carlo algorithm employed in
PyPartMC, which employs analogous adaptive logic for eliminating the
deficit within a different coalescence framework.
Our convergence analysis spans a range of timesteps, superdroplet
counts, and initialization methods, examining how the deficit scales and
exploring the trade-off between efficiency and error mitigation when
adaptive time-stepping is implemented. We show that the substepping
procedure maintains a computational cost similar to that of the original
SDM using the “parent” timestep, while achieving accuracy comparable to
smaller fixed timesteps. Overall, our results demonstrate that adaptive
time stepping provides a more efficient path to reducing coalescence
error than uniformly decreasing the timestep, with implications for
large-scale cloud and precipitation modeling. While we focus on
warm-phase microphysics, the results are also applicable to cold and
mixed-phase systems, as well as other coagulation problems outside
atmospheric science.
Join Zoom Meeting
https://uw-edu-pl.zoom.us/j/92869816385?pwd=OGGyBBxKufiLUNw1jbRmriWoWGKYQE.1
<https://www.google.com/url?q=https://uw-edu-pl.zoom.us/j/92869816385?pwd%3D…>
Meeting ID: 928 6981 6385
Passcode: 447840
/Koordynator seminarium: /
/prof. dr hab. Hanna Pawłowska/
/e-mail: hanna.pawlowska(a)igf.fuw.edu.pl/
/telefon: +48 22 55 32 035/
Wysłano dnia: 14-05-2025 10:00
(c) 2025 UW, WF, Instytut Geofizyki, www.igf.fuw.edu.pl
/This email has been sent automatically, please do not reply./
/If you see an error or if you are not the correct recipient,
please contact: sekretariat.IGF(a)fuw.edu.pl/
https://www.mmm.ucar.edu/events/seminar/2025/dr-shin-ichiro-shima-133397
title: "20th anniversary of the super-droplet method"
speaker: Dr. Shin-ichiro Shima, University of Hyogo, Kobe, Japan
Mar. 20, 2025, 2:00 pm MDT (9 pm CET)
This seminar will be hybrid, you may attend in-person or watch the live
webcast: https://sundog.ucar.edu/public/page/MMM
Participants watching the live webcast may ask questions during the
seminar via Slido.
Abstract
(https://www.mmm.ucar.edu/sites/default/files/2025-03/Shin-ichiro%20Shima_Ma…):
The super-droplet method (SDM) is a Lagrangian particle-based numerical
algorithm designed to model cloud microphysics and its coupling with
cloud dynamics. It was 2005 when I joined Dr. Kanya Kusano’s group at
the Earth Simulator Center, JAMSTEC, Japan. With an eye on the future of
supercomputers, we worked on creating novel numerical algorithms for
multiscale-multiphysics phenomena. SDM was one of the significant
outcomes of our efforts. In Shima et al. (2009), we discussed the
general framework of SDM and key algorithms required for its numerical
implementation. Instead of applying Eulerian mixing ratios for various
predefined cloud condensate and precipitation categories (cloud water,
rain, cloud ice, snow, graupel, hail), SDM applies point particles,
referred to as super-droplets or super-particles, to represent
the enormous number of aerosol, cloud, and precipitation particles
present inside the simulated domain of a cloud model. The
super-particles are traced in physical space using the model-predicted
flow field, and they grow or shrink as they move with the flow. The
treatment of particle collision-coalescence was challenging, so we
constructed an efficient Monte Carlo algorithm to address it. In SDM,
the fundamental process rate equations are directly solved, allowing us
to seamlessly simulate various cloud related phenomena from the aerosol
scale to convective scale. SDM offers significant advantages over
Eulerian approaches typically used in cloud models, but it took a long
time for the idea to gain acceptance within the atmospheric science
community. Today, Lagrangian particle-based cloud models are being used
widely for various applications, and SDM has become synonymous with
them. In this talk, I will present an overview of recent advances and
applications of the Lagrangian particle-based cloud models. Those
include applications to warm-rain development studies, inclusion of
habit prediction and proper representation of various ice growth
mechanisms, and refinement of the numerical algorithms.
--
Environmental Physics Group, AGH University of Kraków, Poland
sylwester.arabas(a)agh.edu.pl | +48502254779 | https://zfs.agh.edu.pl/
https://sites.google.com/view/copartcoflow/copartcoflow
Toipic: Complex particle transport in complex flows with environmental
applications
Location: La londe les Maures, France - June 15th-20th 2025
Application deadline: February 28th, 2025
Objectives:
This summer school aims to gather a combination of junior and senior
scientists with research interests in the fate and transport of
complex particles in complex flows with diverse applications such as
plastics pollution in the natural environment.
Lecturers:
- Enrico Calzavarini, Université de Lille
- Michelle DiBenedetto, University of Washington
- Giuseppe Suaria, CNR-ISMAR
- Jean-Luc Thiffeault, University of Wisconsin-Madison
- Erik van Sebille, Utrecht University
... The registration fee will not exceed 600€ (without tax) with the
final price to be communicated after the application deadline. The
registration fee includes the housing and all meals, but not travel to
the venue.
https://cism.it/en/activities/courses/C2512/
... The course will focus on Lagrangian approaches. They are often
methods of choice to treat the particulate phase transport and
polydispersity; they may also be used, in terms of so-called
particle-based methods, for the macroscopic description of fluid motion.
Looked at from this perspective, the course should nicely complement a
typical curriculum on fluid dynamics and CFD modelling to provide a
broader view, next-to (but not off) the beaten track, especially
valuable for PhD candidates. ...
... Invited lectures:
- Mickael Bourgoin (Ecole Normale de Lyon, France)
- Jochen Froehlich (TU Dresden, Germany)
- Alessandra S. Lanotte (CNR Institute of Nanotechnology, Lecce, Italy)
- Alex Liberzon (Tel Aviv University, Israel)
- Jacek Pozorski (IMP, PAN, Gdansk, Poland)
- Alfredo Soldati (Vienna University of Technology, Austria)
... The course is offered in a hybrid format, allowing participants the
flexibility to attend either in person or remotely via the Microsoft
Teams platform.
... Registration fees:
- Early Bird On-Site Participation: €650.00+VAT* Deadline: July 8, 2025
- Late On-Site Participation: €800.00+VAT* Deadline: August 26, 2025
- Live Streaming Online Participation: €250.00+VAT* Deadline: August 26,
2025
--
Environmental Physics Group, AGH University of Kraków, Poland
sylwester.arabas(a)agh.edu.pl | +48502254779 | https://zfs.agh.edu.pl/
-------- Forwarded Message --------
Subject: Summer School "Population Dynamics", June 16-25, 2025 in Nice
From: Christophe Henry <christophe.henry(a)inria.fr>
Reply-To: committee_sem_them_populate(a)inria.fr
Dear Colleagues,
We are delighted to announcethe Summer School on “Population Dynamics:
From fundamental to applied science”.
This 2-week summer school will take place in the AEC village
<https://www.aec-vacances.com/en/aec-holiday-villages/grasse-1> in
Grassein the French Riviera, from Monday, *June 16th till Friday, June
27th 2025*.
*SPONSORS*
The school is sponsored by:
A) Université Côte d'Azur, in the framework of a _thematic semester on
the topic of “Population Dynamics”_ <https://project.inria.fr/populate2025/>
B) CNRS as a Thematic School
*TOPIC*
This summer school is focused on models for population dynamics that
aims to provide modern viewpoints on the concepts related to population
dynamics (covering topics such as crowd dynamics, traffic flow, viruses,
cell growth, complex fluids with bubbles or nanoparticles).
It will gather researchers from various communities to fertilize
cross-disciplinary research and methods on this topic.
*CONFIRMED INVITED LECTURERS*
1. Yves Achdou (Laboratoire Jacques Louis Lions, Paris, France)
2. Julien Arino (Department of Mathematics, University of Manitoba, Canada)
3. Céline Casenave (Mathematics and Numerics division, INRAE
Montpellier, France)
4. Maria Teresa Chiri (Department of Mathematics and Statistics, Queen’s
University, Canada)
5. Alexandra Fronville (Laboratory of Medical Information Processing,
Faculty of Medicine, University of Brest, France)
6. Daniele Marchisio (Department of Applied Science and Technology,
Politechnico di Torino, Italy)
7. Adolfo Vazquez Quesada (Department of Fundamental Physics,
Universidad Nacional de Educación a Distancia, Spain)
More details on the topic of their lecture is available on the School
website
<https://project.inria.fr/populate2025/ecole-dete/invited-speakers-3/>.
*APPLICATION*
To apply to this summer school, please fill the form on the following
link: https://project.inria.fr/populate2025/ecole-dete/application/
<https://project.inria.fr/populate2025/ecole-dete/application/>
before *Sunday, March 30**th**2025*
*PRACTICAL INFORMATION, REGISTRATION, CONTACT*
More details on: https://project.inria.fr/populate2025/ecole-dete/
<https://project.inria.fr/populate2025/ecole-dete/>
Do not hesitate to forward this announcement to interested colleagues.
*Organizing Committee*
Laetitia Giraldi, Team Calisto, Inria Université Côte d’Azur
Abderrahmane Habbal, LJAD laboratory & Inria, Université Côte d’Azur
Christophe Henry, Team Calisto, Inria Université Côte d’Azur
Ludovic Mailleret, M2P2, INRAE PACA
Franck Pigeonneau, CEMEF research center of Mines ParisTech
- - - - - - - - - - - - -
Christophe Henry
Researcher from Inria Centre at Université Côte d'Azur
Phone: +33 492 387 703
Website: http://www-sop.inria.fr/members/Christophe.Henry/