List of Planned Participants

Contents

List of Planned Participants#

One of the key steps to planning a model intercomparison project (MIP) is determining who wants to participate.

For this project, we solicited the community and requested that interested research groups sign up in a Google Spreadsheet. Let’s read that in!

Imports#

import pandas as pd

Read Data from Google Sheets#

Here is a link to the document

Google Sheets Document

Interested Modeling Groups#

model_list = pd.read_excel('https://docs.google.com/spreadsheets/d/' + 
                            '1h0BDDCCJTfIsdvHHNFyA17bpsNAL7405GG69IkC8qJs' +
                            '/export?gid=0&format=xlsx',
                            sheet_name='Models')
pd.set_option('display.max_colwidth', None)
model_list

	Participant Name(s)	Affiliation	Email address	Modeling System(s)	LES, SCM, or Both?	Research Interest(s) / Area(s) of Expertise	Comments
0	Tim Juliano, Branko Kosovic, Lulin Xue	NCAR	tjuliano@ucar.edu	WRF, CCPP-SCM	Both	Mesoscale cloud organization, turbulence-microphysics interactions	NaN
1	Mikhail Ovchinnikov, Peng Wu	PNNL	mikhail.ovchinnikov@pnnl.gov	SAM	LES	NaN	NaN
2	Florian Tornow, Ann Fridlind, Andy Ackerman	NASA GISS	ft2544@columbia.edu	DHARMA LES, GISS ModelE3 SCM	Both	Cloud-aerosol interaction, mixed-phase cloud microphysics, overcast-to-broken cloud transition	NaN
3	Roel Neggers, Jan Chylik, Fredrik Jansson, Stephan de Roode	University of Cologne, TU Delft	neggers@meteo.uni-koeln.de, jchylik@uni-koeln.de, F.R.Jansson@tudelft.nl, S.R.deRoode@tudelft.nl	DALES	Both	Cloud-aerosol-turbulence interactions, Spatial organization, Air mass transitions	NaN
4	Gunilla Svensson, Michael Tjernström, Annica Ekman, Luisa Ickes, Hannah Frostenberg, Michail Karalis	Stockholm University, Chalmers Technical University	gunilla@misu.su.se, michaelt@misu.su.se, annica@misu.su.se, luisa.ickes@chalmers.se, hannah.frostenberg@chalmers.se, michail.karalis@misu.su.se	AOSCM and MIMICA	Both	Airmass transformations, turbulence, aerosols and cloud dynamics and microphysics	NaN
5	Paquita Zuidema	U Mimai	pzuidema@miami.edu	--	--	cloud transitions in a mixed-phase environment	primarily interested from the point of view of CAESAR success
6	Martin Koehler	DWD	martin.koehler@dwd.de	ICON-SCM	SCM	Model evaluation, liquid-ice fraction, turbulence/sedimentation fluxes, rolls versus cells	NaN
7	Kamal Kant Chandrakar, Hugh Morrison	NCAR	kkchandr@ucar.edu, morrison@ucar.edu	CM1	LES	Microphysics-turbulence interactions, microphysical processes, cloud dynamics, mesoscale organization	Goal is to run with Lagrangian microphysics (SDM)
8	Nicholas Szapiro	NCEP EMC/UMD	nick.szapiro@noaa.gov	CCPP-SCM	SCM	Model evaluation and development	NaN
9	Xue Zheng	LLNL	zheng7@llnl.gov	DP-SCREAM, E3SM	SCM (E3SMv2 and v3)	Cloud mesoscale organization, cloud transition, mixed-phase cloud microphysical processes	NaN
10	Peter Blossey	UW	pblossey@uw.edu	SAM	LES	Cloud-aerosol interactions and mesoscale organization, role of Aitken aerosols	NaN
11	Christina McCluskey	NCAR	cmcclus@ucar.edu	SCAM	SCM	Ice Nucleation; Marine aerosol; Mixed phase aerosol-cloud interactions	primarily interested for Southern Ocean contrast case that is well constrained
12	Thijs Heus, Girish Raghunathan	Cleveland State University	t.heus@csuohio.edu; g.raghunathan@csuohio.edu\n	MicroHH	LES	turbulence, cloud dynamics, model evaluation, contrast with EURECA	NaN
13	Anna Possner	Goethe University Frankfurt	apossner@iau.uni-frankfurt.de	ICON-LEM	LES	cloud mesoscale organization, transitions, cloud microphysics, secondary ice	NaN
14	Hyunho Lee	Kongju National University	hyunho.lee@kongju.ac.kr	PALM	LES	cloud-aerosol interactions, turbulence effects on microphysics	NaN
15	Qingfang Jiang	Naval Research Lab	qingfang.jiang@nrlmry.navy.mil	COAMPS	BOth	boundary layer clouds, CAO, surface fluxes	NaN
16	Zachary Lebo	OU	zachary.lebo@ou.edu	WRF	LES	clouds, aerosol-cloud-precipitation interactions, mesoscale cloud organization	NaN
17	Shuaiqi Tang	PNNL	shuaiqi.tang@pnnl.gov	E3SMv2	SCM	aerosol-cloud-precipitation interactions	NaN
18	Dmitry Chechin, Andrey Debolskiy, Evgeny Mortikov	A.M. Obukhov Institute of Atmospheric Physics RAS, RSCC LMSU	chechin@ifaran.ru, and.debol@srcc.msu.ru, mortikov@srcc.msu.ru	MSU-INM LES	LES	atmospheric boundary-layer evolution, turbulence-clouds interaction	NaN
19	Susannah Burrows, Shaocheng Xie, Peter Caldwell, Meng Zhang, Johannes Mülmenstädt, Naser Mahfouz, Chris Terai	PNNL and LLNL	susannah.burrows@pnnl.gov, xie2@llnl.gov, caldwell19@llnl.gov, zhang55@llnl.gov, johannes.muelmenstaedt@pnnl.gov, naser.mahfouz@pnnl.gov, terai1@llnl.gov	E3SMv3, EAMxx (global storm-resolving model)	global simulations with nudged meteorology; possibly also SCM (TBD)	Clouds, aerosol-cloud-precipitation interactions, ice nucleation, marine aerosol, model evaluation and development	Primary goal is to evaluate current & future E3SM atmosphere variants against the LES and obs benchmarks, and other GCMs
20	Dmitry Chechin, Mikhail Tolstykh, Rostislav Fadeev	IAP RAS, Hydrometcenter of Russia, Institute of Numerical Mathematics RAS	chechin@ifaran.ru, mtolstykh@mail.ru, rost.fadeev@gmail.com	SL-AV SCM	SCM	parameterization and model evaluation and development	NaN
21	Tomi Raatikainen, Sami Romakkaniemi	Finnish Meteorological Institute	tomi.raatikainen@fmi.fi, sami.romakkaniemi@fmi.fi	UCLALES-SALSA	LES	Aerosol-cloud interactions, mixed-phase clouds	NaN

Interested Observational Groups#

obs_list = pd.read_excel('https://docs.google.com/spreadsheets/d/' + 
                            '1h0BDDCCJTfIsdvHHNFyA17bpsNAL7405GG69IkC8qJs' +
                            '/export?gid=1705827066&format=xlsx',
                            sheet_name='Observations')
pd.set_option('display.max_colwidth', None)
obs_list

	Participant Name(s)	Affiliation	Email address	Observational System(s)	Variables / Parameters / Products	Software / Post-processing	Comments
0	Maria Cadeddu	DOE ANL	mcadeddu@anl.gov	MWR	LWP	independent evaluation of neural net	discuss with ARM mentor Maria Caddedu
1	Damao Zhang	PNNL	damao.zhang@pnnl.gov	KAZR, MPL, MWR	2D cloud phase	NaN	NaN
2	David Turner	NOAA ESRL	NaN	AERI	refined T, q retrieval	NaN	NaN
3	NaN	NaN	NaN	KAZR	IWC	independent evaluation of ARM VAP	discuss with ARM mentor Damao Zhang
4	NaN	NaN	NaN	VIIRS/MODIS	comparison of satellite cloud retrievals near Andenes to COMBLE observations	NaN	NaN
5	Pavlos Kollias, Zackary Mages	SBU	pavlos.kollias@stonybrook.edu, zackary.mages@stonybrook.edu	KAZR, MWR, Lidar	Vertical air motion, LWP, TKE, Hydrometeor types (Parsivel)	NaN	NaN
6	Peng Wu, Mikhail Ovchinnikov	PNNL	peng.wu@pnnl.gov, Mikhail.Ovchinnikov@pnnl.gov	satellite	cloud organization, morphology	NaN	NaN
7	Florian Tornow, Greg Elsaesser, Tim Juliano, Paquita Zuidema	GISS	florian.tornow@nasa.gov, gregory.s.elsaesser@nasa.gov	satellite	LWP (Lagrangian evolution)	NaN	NaN
8	Zhibo Zhang	UMBC	zhibo.zhang@umbc.edu	satellite	use satellite observations to understand the transition of cloud phase in CAO clouds	NaN	mostly from the angle of climatology
9	Christian Lackner, Tim Juliano, Bart Geerts	U Wyoming, NCAR	clackner@uwyo.edu	satellite (SAR)	10m wind speed	NaN	NaN