A5039467749- Atmospheric aerosols and clouds
- Atmospheric chemistry and aerosols
- Meteorological Phenomena and Simulations
- Aeolian processes and effects
- Precipitation Measurement and Analysis
- Computational Physics and Python Applications
- Distributed and Parallel Computing Systems
- Particle Dynamics in Fluid Flows
- Wind and Air Flow Studies
- Stochastic processes and financial applications
- Fluid Dynamics and Turbulent Flows
- Housing Market and Economics
- Advanced Numerical Methods in Computational Mathematics
- Computational Fluid Dynamics and Aerodynamics
- Air Quality Monitoring and Forecasting
- Surface Modification and Superhydrophobicity
- Atmospheric Ozone and Climate
- Capital Investment and Risk Analysis
- Parallel Computing and Optimization Techniques
- Climate Change Policy and Economics
- Computer Graphics and Visualization Techniques
- Fluid Dynamics and Heat Transfer
- Scientific Computing and Data Management
- Solar Radiation and Photovoltaics
- Transportation Planning and Optimization
AGH University of Krakow
2023-2025
Jagiellonian University
2016-2025
California Institute of Technology
2023
University of Illinois Urbana-Champaign
2021-2023
University of Warsaw
2009-2017
Institute of Geophysics
2010-2017
Czech Academy of Sciences, Institute of Geophysics
2008
Abstract. In this paper we describe and summarize the main achievements of European Aerosol Cloud Climate Air Quality Interactions project (EUCAARI). EUCAARI started on 1 January 2007 ended 31 December 2010 leaving a rich legacy including: (a) comprehensive database with year observations physical, chemical optical properties aerosol particles over Europe, (b) measurements in four developing countries, (c) airborne aerosols clouds Europe during May 2008, (d) modeling tools to study processes...
Abstract The Kinematic Driver-Aerosol (KiD-A) intercomparison was established to test the hypothesis that detailed warm microphysical schemes provide a benchmark for lower-complexity bulk microphysics schemes. KiD-A is first compare multiple Lagrangian cloud models (LCMs), size bin-resolved schemes, and double-moment in consistent 1D dynamic framework box cases. In absence of sedimentation collision–coalescence, drop distributions (DSDs) from LCMs exhibit similar evolution with expected...
In this study we present a series of LES simulations employing the Super-Droplet Method (SDM) for representing aerosol, cloud and rain microphysics. SDM is particle-based probabilistic approach in which Monte-Carlo type algorithm used solving particle collisions coalescence process. The model does not differentiate between aerosol particles, droplets, drizzle or drops. Consequently, it covers representation such cloud-microphysical processes as: CCN activation, formation by autoconversion,...
Abstract. A multi-platform field measurement campaign involving aircraft and balloons took place over West Africa between 26 July 25 August 2006, in the frame of concomitant AMMA Special Observing Period SCOUT-O3 African tropical activities. Specifically aiming at sampling upper troposphere lower stratosphere, high-altitude research M55 Geophysica was deployed Ouagadougou (12.3° N, 1.7° W), Burkina Faso, conjunction with German D-20 Falcon, while a series stratospheric sonde flights were...
This paper presents statistics of cloud microphysical properties shallow tropical cumuli observed by a research aircraft during RICO field campaign. Cloud are derived from 10 Hz (about m spatial distance) Fast‐FSSP data in four different flights. The motivation comes similar analyses either stratocumulus clouds or remote‐sensing cumuli. In the lowest few hundred meters, standard deviation droplet size distribution σ r and relative dispersion, ratio mean radius, to clouds, but they...
Abstract. This paper introduces a library of algorithms for representing cloud microphysics in numerical models. The is written C++, hence the name libcloudph++. In current release, covers three warm-rain schemes: single- and double-moment bulk schemes, particle-based scheme with Monte Carlo coalescence. schemes are intended modelling frameworks different dimensionalities complexities ranging from parcel models to multi-dimensional cloud-resolving (e.g. large-eddy) simulations. A...
We developed an ice phase extension for the PySDM Python package. is used simulating microphysics of population particles, e.g. modeling liquid droplets and their interactions with aerosol in clouds. uses particle-based approach (‘super droplet method’) features Monte-Carlo type solvers processes such as collisions, coagulation, breakup, freezing.Our aim to adapt that framework simulation (pure) clouds cirrus temperature regime. Ice super particles are affected by...
Abstract Cloud droplets containing immersed ice‐nucleating particles (INPs) may freeze at temperatures above the homogeneous freezing threshold temperature in a process referred to as immersion freezing. In modeling studies, is often described using either so‐called “singular” or “time‐dependent” parameterizations. Here, we compare both approaches and discuss them context of probabilistic particle‐based (super‐droplet) cloud microphysics modeling. First, box model, contrast how...
Abstract. This paper accompanies the first release of libmpdata++, a C++ library implementing multi-dimensional positive-definite advection transport algorithm (MPDATA) on regular structured grid. The offers basic numerical solvers for systems generalised equations. are forward-in-time, conservative and non-linearly stable. libmpdata++ covers second-order-accurate formulation MPDATA, its third-order variant, infinite-gauge option variable-sign fields flux-corrected extension to guarantee...
Bartman et al., (2022). PySDM v1: particle-based cloud modeling package for warm-rain microphysics and aqueous chemistry. Journal of Open Source Software, 7(72), 3219, https://doi.org/10.21105/joss.03219
Abstract. The process of formation cloud droplets on an ensemble aerosol particles is modelled by numerous investigators using the method lines (MOL). involves discretisation size spectrum into bins whose positions evolve with time. One drawbacks its poor representation shape in region between unactivated mode and activated droplet mode. An adaptive grid refinement procedure introduced. splits any overly wide several narrower ones during integration. number new added a function particle...
de Jong et al., (2023). New developments in PySDM and PySDM-examples v2: collisional breakup, immersion freezing, dry aerosol initialization, adaptive time-stepping. Journal of Open Source Software, 8(84), 4968, https://doi.org/10.21105/joss.04968
Abstract. In this paper we describe and summarize the main achievements of European Aerosol Cloud Climate Air Quality Interactions project (EUCAARI). EUCAARI started on 1 January 2007 ended 31 December 2010 leaving a rich legacy including: (a) comprehensive database with year observations physical, chemical optical properties aerosol particles over Europe, (b) first measurements in four developing countries, (c) airborne aerosols clouds Europe during May 2008, (d) modeling tools to study...
Bartman et al., (2022). PyMPDATA v1: Numba-accelerated implementation of MPDATA with examples in Python, Julia and Matlab. Journal Open Source Software, 7(77), 3896, https://doi.org/10.21105/joss.03896
We take into consideration the evolution of particle size in a monodisperse aerosol population during activation and deactivation cloud condensation nuclei (CCN). The phase portrait system derived through weakly-nonlinear analysis reveals saddle-node bifurcation cusp catastrophe. An analytical estimate timescale is estimation time spent bottleneck. Numerical integration portrays two types activation/deactivation hystereses: one associated with kinetic limitations on droplet growth when far...
This paper investigates the reproducibility of computational science research and identifies key challenges facing community today. It is result First Summer School on Experimental Methodology in Computational Science Research (https://blogs.cs.st-andrews.ac.uk/emcsr2014/). First, we consider how to reproduce experiments that involve human subjects, particular deal with different ethics requirements at institutions. Second, look whether parallel distributed are more or less reproducible than...
Abstract. A key constraint of particle-based methods for modeling cloud microphysics is the conservation total particle number, which required computational tractability. The process collisional breakup poses a particular challenge to this framework, as events often produce many droplet fragments varying sizes, would require creating new particles in system. This work introduces representation so-called “superdroplet” method conserves number superdroplets extends an existing stochastic...
Three object-oriented implementations of a prototype solver the advection equation are introduced. The presented programs based on Blitz++ (C++), NumPy (Python), and Fortran's built-in array containers. solvers include an implementation Multidimensional Positive-Definite Advective Transport Algorithm (MPDATA). introduced codes exemplify how application programming (OOP) techniques allows to reproduce mathematical notation used in literature within program code. A discussion tradeoffs...
We present GNU Data Language (GDL), an open-source free incremental compiler for programs written in Interactive (IDL*) and Precision Visuals -Workstation Analysis Visualization Environment (PV-WAVE**), two computer languages used scientific data analysis.GDL is highly compatible with the IDL PV-WAVE aims to run any existing codes without modifications.GDL comes its dedicated IDE GDL Workbench Jupyter kernel gdl_kernel provide a comfortable development environment.In addition, supports...
Abstract. This paper introduces a library of algorithms for representing cloud microphysics in numerical models. The is written C++, hence the name libcloudph++. In current release, covers three warm-rain schemes: single- and double-moment bulk schemes, particle-based scheme with Monte-Carlo coalescence. schemes are intended modelling frameworks different dimensionality complexity ranging from parcel models to multi-dimensional cloud-resolving (e.g. large-eddy) simulations. A two-dimensional...
GNU Data Language (GDL) is an open-source interpreted language aimed at numerical data analysis and visualisation. It a free implementation of the Interactive (IDL) widely used in Astronomy. GDL has full syntax compatibility with IDL, includes large set library routines targeting advanced matrix manipulation, plotting, time-series image analysis, mapping, input/output including numerous scientific formats. We will present current status project, key accomplishments, weaknesses - areas where...