Scientific publications of Jesse Dorrestijn
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Contact
jesse at jessedorrestijn.nl
Bio and CV
I am a Dutch scientist (and singersongwriter).
Here comes a link to my CV.
Interests
My scientific interests are mathematics  this is my background  and atmospheric sciences  the field in which I started working after my Master mathematics. For my PhD I studied the representation of atmospheric clouds and convection in weather and climate models  by using mathematical approaches, e.g. stochastic processes, datadriven methods.
The main motivation to do science is my interest in nature, Earth, the solar system, and the universe. Find out and understand how nature works.
I worked at the Center for Climate Sciences at the NASA Jet Propulsion Laboratory (JPL)/California Institute of Technology from November 2016 until November 2017 (archive capture). I was a Caltech Postdoctoral Scholar at JPL in the Atmospheric Physics and Weather group. I worked with satellite data of temperature and humidity / clouds with the goal of understanding more about atmospheric clouds to be able to improve the representations of clouds and convection in weather and climate models.
A list of topics that I like:
Atmosphere
 Atmospheric clouds and convection
 Shallow and deep convection
 Parameterization of subgrid processes
 WheelerKiladis diagrams
 Radar data, satellite data
 LargeEddy Simulation
 General Circulation Models
 Weather and Climate Models
 The Lorenz '96 toy model
 Convectively coupled equatorial waves, e.g. equatorial Kelvin waves, the MaddenJulian Oscillation
Mathematics
 Datadriven methods
 Markov chains
 Probabilistic/stochastic cellular automata
 Benford's Law
 Stochastic processes
 Zipf's law
 Dynamical systems
 Chaos theory
 Foundations of mathematics
 Classical geometry
 Measure theory  measure theoretic probability theory
 Number theory
(I'm not an expert in all these topics.)
Scientific Papers
A.P. Siebesma and J. Dorrestijn. New Pathways for Moist Convection Parameterisation. Current Trends in the Representation of Physical Processes in Weather and Climate Models, Springer, Singapore, 2019. 329347. Springer, Singapore, 2019. 329347.
J. Dorrestijn, B.H. Kahn, J. Teixeira and F.W. Irion. Instantaneous variance scaling of AIRS thermodynamic profiles using a circular area Monte Carlo approach, Atmos. Meas. Tech., 11, 27172733, 2018.
J. Dorrestijn, D.T. Crommelin, A.P. Siebesma, H.J.J. Jonker, and F. Selten.
Stochastic convection parameterization with Markov chains in an intermediate
complexity GCM. J. Atmos. Sci., 73:13671382, 2016.
J. Dorrestijn, D.T. Crommelin, A. Pier Siebesma, H.J.J. Jonker, and C. Jakob.
Stochastic parameterization of convective area fractions with a multicloud
model inferred from observational data. J. Atmos. Sci., 72:854869, 2015.
J. Dorrestijn, D.T. Crommelin, J.A. Biello, and S.J. Böing. A datadriven
multicloud model for stochastic parametrization of deep convection. Phil.
Trans. R. Soc. A, 371:20120374, 2013.
J. Dorrestijn, D.T. Crommelin, A.P. Siebesma, and H.J.J. Jonker. Stochastic
parameterization of shallow cumulus convection estimated from highresolution
model data. Theor. Comput. Fluid Dyn., 27:133148, 2013.
Posters about Stochastic Convection Parameterization
I made a poster about my PhD research. It won the best poster award at the Nederlands Mathematisch Congres 2011 at Twente University.
This is a link to my first poster.
I made a second poster. I presented this poster at the AGU Fall Meeting in San Francisco at Friday 7 December 2012 Hall AC of the Moscone South building in the session A53F Cloud and Multiscale Modeling of the Atmosphere.
This is a link to my second poster.
My third poster made for the Probabilistic Cellular Automata (PCA) Workshop in Eindhoven 2013:
This is a link to my third poster.
My fourth poster made for the GEWEX meeting in Den Haag 2014:
This is a link to my fourth poster.
Master's thesis mathematics: Benford's Law
The topic of my Master's thesis was Benford's Law. If one investigates numbers obtained
from the most various sources, one sees to his surprise that in general the first digits do not
follow the expected uniform distribution. The first digits tend to be distributed
logarithmically. That means that thirty percent of numbers starts with the digit 1. This strange
phenomenon was found by Simon Newcomb in 1881 and by Frank Benford in 1937. The fact
that the first digits of random numbers of random distributions are distributed as predicted by
Benford has been proved by Ted Hill in 1995. In the article in which the proof was published,
Ted Hill posed another problem: what kind of probability distributions satisfy Benford's
Law? In my thesis I defined and examined Benford's Law for an arbitrary real base. Data has been used to illustrate the developed theory.
I contacted Ted Hill, who came twice to Utrecht to help me
improving my thesis. I received a NWO research grant to pay for Ted Hill's expenses.
My master thesis about Benford's Law.
Dissertation: Stochastic Convection Parameterization
For my PhD research I looked at the representations of convective clouds in weather and climate models. The aim was to improve the representation of these clouds by using a mathematical tool: Markov chains. Markov chains are stochastic processes that switch between a finite number of states with certain probabilities. By estimating these probabilities from data of convection, a realistic model could be constructed. Data of convection was first obtained from LargeEddy Simulation and later from a rain radar in Darwin, Australia. The new Markov chain model was used in a climate model of intermediate complexity "SPEEDY", to serve as a closure for the cloud base mass flux. I examined precipitation patterns in the tropics and how the model changed these patterns.
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Link to my dissertation: Stochastic Convection Parameterization >
Matlab files
Here you can find Matlab codes that are focused on datadriven Markov chains, that I used during my PhD research at CWI, Amsterdam.
>This is a link to the Matlab code page<
Links to Youtube movies:
A Cloud type movie, corresponding to the work of the Trans. R. Soc. A paper (see papers).
Stochastic cellular automata movie, also corresponding to the work of the Trans. R. Soc. A paper (see papers).
Conferences, workshops:
past events

I was a panel member at the Department of Energy (DOE) Computational Climate Panel, Washington DC, USA, May 1718, 2017.

I gave a talk at California Institute of technology, Pasadena, USA, April 25, 2017.
 Seminar at the Meteorology and Air Quality Group at Wageningen University, Wageningen, The Netherlands, 3 October 2016.
I gave a presentation entitled: "Representing atmospheric clouds and convection with datadriven Markov chains"
>Link to presentation pdf file >

The defense of my PhD dissertation was at 8 September 2016 at Delft University of Technology, the Netherlands.
>Link to dissertation pdf file >

ECMWF/WWRP Workshop: Model Uncertainty, Reading, UK, April 1115, 2016. I gave a talk entitled "Observational based stochastic convection parameterization".
>Link to presentation pdf file >

Visit to JPL/Caltech, Los Angeles, USA, February 12, 2016. I gave a talk entitled "Stochastic convection parameterization with Markov chains".
>Link to presentation pdf file >

WGNE/GASS Workshop: The Grey Zone Project at Max Planck Institute for Meteorology, Hamburg, Germany, December 13, 2014
I gave a talk: "A stochastic scaleadaptive convection parameterization".
>Link to presentation pdf file >

Boundary Layer Turbulence (BLTBBOS) workshop at the Meteorology and Air Quality Section (Wageningen University), Friday 10th October 2014
I gave a talk: "Stochastic parameterization of deep convection with Markov chains inferred from observational data".
>Link to presentation pdf file >

Modelling, Analysis and Computing Seminar at CWI Amsterdam on Tuesday 30th September 2014
I gave a talk: "Stochastic parameterization of convective clouds with datainferred Markov chains".
>Link to presentation pdf file >

Cogrow workshop, Radboud University Nijmegen, Nijmegen, The Netherlands, 89 September 2014
I gave a talk: ''Probabilistic cellular automata: an application in atmospheric sciences''
>Link to presentation pdf file >

World Weather Open Science Conference (WWOSC) 2014 in Montreal, Canada, August 1621, 2014
I gave a talk.
>Link to presentation pdf file >

7th International Conference on the Global Water and Energy Cycle in The Hague, The Netherlands 1417 July 2014
I presented a poster in the session "Improving the representation, cloud, and radiation processes in atmospheric models.".

Presentation at TUDelft. I discussed the article "Convectively Coupled Equatorial Waves: Analysis of Clouds and Temperature in the WavenumberFrequency Domain" of Wheeler and Kiladis 1999,
2 April 2014

Workshop on Probabilistic Cellular Automata, TUEindhoven, 101112 June 2013
I presented a poster.

Werkgemeenschap Scientific Computing, CWI, Amsterdam, 17th May 2013
I gave a talk titled: "Stochastic parameterization of atmospheric convection".

Workshop on Stochastic Modelling and Computing for Weather and Climate Prediction, Oriel College, Oxford, 18th  21st March 2013
>Link to presentation pdf file >

Visiting Joseph Biello at University CaliforniaDavis, 1014 December 2012

AGUfall meeting, San Francisco, 37 December 2012
 Workshop on Stochasticity
LudwigMaximilians UniversitätMünchen
1718 October 2012
 Boundary Layer Turbulence (BLTBBOS) workshop, Wageningen University, Wageningen, The Netherlands, 21st September 2012.
I gave a presentation entitled: "Stochastic parameterization of atmospheric convection using LESdata"
 PhD days in analysis and dynamics
Lunteren, The Netherlands, 2627 Apr 2012
>Link to presentation pdf file >
 Convection Parameterization in Weather Forecast and Climate Models (COST MEETING), KNMI, de Bilt, Februari 2012.
 Woudschoten Conference 57 Oct 2011
 Workshop on Representing model uncertainty and error in numerical weather and climate prediction models, Reading, UK, June 2011.
 Nederlands Mathematisch Congres 2011, The 47th Dutch Mathematical Congress, University of Twente, April 2011.
 Woudschoten Conference, Thirtyfifth Woudschoten conference of the Dutch & Flemish Numerical Analysis Communities, Oct 2010.
Last update: Jan. 28th, 2020