List of Planned Participants

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

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