{ "cells": [ { "cell_type": "markdown", "id": "5a6ad1d3", "metadata": {}, "source": [ "# List of Planned Participants\n", "\n", "One of the key steps to planning a model intercomparison project (MIP) is determining who wants to participate.\n", "\n", "For this project, we solicited the community and requested that interested research groups sign up in a Google Spreadsheet. Let's read that in!" ] }, { "cell_type": "markdown", "id": "dc97b681", "metadata": {}, "source": [ "## Imports" ] }, { "cell_type": "code", "execution_count": 4, "id": "5212bcda", "metadata": { "tags": [] }, "outputs": [], "source": [ "import pandas as pd" ] }, { "cell_type": "markdown", "id": "a263528a", "metadata": {}, "source": [ "## Read Data from Google Sheets\n", "Here is a link to the document\n", "- [Google Sheets Document](https://docs.google.com/spreadsheets/d/1h0BDDCCJTfIsdvHHNFyA17bpsNAL7405GG69IkC8qJs/edit?usp=sharing)" ] }, { "cell_type": "markdown", "id": "1f8b4f01", "metadata": { "tags": [] }, "source": [ "## Interested Modeling Groups" ] }, { "cell_type": "code", "execution_count": 5, "id": "8459b8d3", "metadata": { "tags": [] }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Participant Name(s)AffiliationEmail addressModeling System(s)LES, SCM, or Both?Research Interest(s) / Area(s) of ExpertiseComments
0Tim Juliano, Branko Kosovic, Lulin XueNCARtjuliano@ucar.eduWRF, CCPP-SCMBothMesoscale cloud organization, turbulence-microphysics interactionsNaN
1Mikhail Ovchinnikov, Peng WuPNNLmikhail.ovchinnikov@pnnl.govSAMLESNaNNaN
2Florian Tornow, Ann Fridlind, Andy AckermanNASA GISSft2544@columbia.eduDHARMA LES, GISS ModelE3 SCMBothCloud-aerosol interaction, mixed-phase cloud microphysics, overcast-to-broken cloud transitionNaN
3Roel Neggers, Jan Chylik, Fredrik Jansson, Stephan de RoodeUniversity of Cologne, TU Delftneggers@meteo.uni-koeln.de, jchylik@uni-koeln.de, F.R.Jansson@tudelft.nl, S.R.deRoode@tudelft.nlDALESBothCloud-aerosol-turbulence interactions, Spatial organization, Air mass transitionsNaN
4Gunilla Svensson, Michael Tjernström, Annica Ekman, Luisa Ickes, Hannah Frostenberg, Michail KaralisStockholm University, Chalmers Technical Universitygunilla@misu.su.se, michaelt@misu.su.se, annica@misu.su.se, luisa.ickes@chalmers.se, hannah.frostenberg@chalmers.se, michail.karalis@misu.su.seAOSCM and MIMICABothAirmass transformations, turbulence, aerosols and cloud dynamics and microphysicsNaN
5Paquita ZuidemaU Mimaipzuidema@miami.edu----cloud transitions in a mixed-phase environmentprimarily interested from the point of view of CAESAR success
6Martin KoehlerDWDmartin.koehler@dwd.deICON-SCMSCMModel evaluation, liquid-ice fraction, turbulence/sedimentation fluxes, rolls versus cellsNaN
7Kamal Kant Chandrakar, Hugh MorrisonNCARkkchandr@ucar.edu, morrison@ucar.eduCM1LESMicrophysics-turbulence interactions, microphysical processes, cloud dynamics, mesoscale organizationGoal is to run with Lagrangian microphysics (SDM)
8Nicholas SzapiroNCEP EMC/UMDnick.szapiro@noaa.govCCPP-SCMSCMModel evaluation and developmentNaN
9Xue ZhengLLNLzheng7@llnl.govDP-SCREAM, E3SMSCM (E3SMv2 and v3)Cloud mesoscale organization, cloud transition, mixed-phase cloud microphysical processesNaN
10Peter BlosseyUWpblossey@uw.eduSAMLESCloud-aerosol interactions and mesoscale organization, role of Aitken aerosolsNaN
11Christina McCluskeyNCARcmcclus@ucar.eduSCAMSCMIce Nucleation; Marine aerosol; Mixed phase aerosol-cloud interactionsprimarily interested for Southern Ocean contrast case that is well constrained
12Thijs Heus, Girish RaghunathanCleveland State Universityt.heus@csuohio.edu; g.raghunathan@csuohio.edu\\nMicroHHLESturbulence, cloud dynamics, model evaluation, contrast with EURECANaN
13Anna PossnerGoethe University Frankfurtapossner@iau.uni-frankfurt.deICON-LEMLEScloud mesoscale organization, transitions, cloud microphysics, secondary iceNaN
14Hyunho LeeKongju National Universityhyunho.lee@kongju.ac.krPALMLEScloud-aerosol interactions, turbulence effects on microphysicsNaN
15Qingfang JiangNaval Research Labqingfang.jiang@nrlmry.navy.milCOAMPSBOthboundary layer clouds, CAO, surface fluxesNaN
16Zachary LeboOUzachary.lebo@ou.eduWRFLESclouds, aerosol-cloud-precipitation interactions, mesoscale cloud organizationNaN
17Shuaiqi TangPNNLshuaiqi.tang@pnnl.govE3SMv2SCMaerosol-cloud-precipitation interactionsNaN
18Dmitry Chechin, Andrey Debolskiy, Evgeny MortikovA.M. Obukhov Institute of Atmospheric Physics RAS, RSCC LMSUchechin@ifaran.ru, and.debol@srcc.msu.ru, mortikov@srcc.msu.ruMSU-INM LESLESatmospheric boundary-layer evolution, turbulence-clouds interactionNaN
19Susannah Burrows, Shaocheng Xie, Peter Caldwell, Meng Zhang, Johannes Mülmenstädt, Naser Mahfouz, Chris TeraiPNNL and LLNLsusannah.burrows@pnnl.gov, xie2@llnl.gov, caldwell19@llnl.gov, zhang55@llnl.gov, johannes.muelmenstaedt@pnnl.gov, naser.mahfouz@pnnl.gov, terai1@llnl.govE3SMv3, 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 developmentPrimary goal is to evaluate current & future E3SM atmosphere variants against the LES and obs benchmarks, and other GCMs
20Dmitry Chechin, Mikhail Tolstykh, Rostislav FadeevIAP RAS, Hydrometcenter of Russia, Institute of Numerical Mathematics RASchechin@ifaran.ru, mtolstykh@mail.ru, rost.fadeev@gmail.comSL-AV SCMSCMparameterization and model evaluation and developmentNaN
21Tomi Raatikainen, Sami RomakkaniemiFinnish Meteorological Institutetomi.raatikainen@fmi.fi, sami.romakkaniemi@fmi.fiUCLALES-SALSALESAerosol-cloud interactions, mixed-phase cloudsNaN
\n", "
" ], "text/plain": [ " Participant Name(s) \\\n", "0 Tim Juliano, Branko Kosovic, Lulin Xue \n", "1 Mikhail Ovchinnikov, Peng Wu \n", "2 Florian Tornow, Ann Fridlind, Andy Ackerman \n", "3 Roel Neggers, Jan Chylik, Fredrik Jansson, Stephan de Roode \n", "4 Gunilla Svensson, Michael Tjernström, Annica Ekman, Luisa Ickes, Hannah Frostenberg, Michail Karalis \n", "5 Paquita Zuidema \n", "6 Martin Koehler \n", "7 Kamal Kant Chandrakar, Hugh Morrison \n", "8 Nicholas Szapiro \n", "9 Xue Zheng \n", "10 Peter Blossey \n", "11 Christina McCluskey \n", "12 Thijs Heus, Girish Raghunathan \n", "13 Anna Possner \n", "14 Hyunho Lee \n", "15 Qingfang Jiang \n", "16 Zachary Lebo \n", "17 Shuaiqi Tang \n", "18 Dmitry Chechin, Andrey Debolskiy, Evgeny Mortikov \n", "19 Susannah Burrows, Shaocheng Xie, Peter Caldwell, Meng Zhang, Johannes Mülmenstädt, Naser Mahfouz, Chris Terai \n", "20 Dmitry Chechin, Mikhail Tolstykh, Rostislav Fadeev \n", "21 Tomi Raatikainen, Sami Romakkaniemi \n", "\n", " Affiliation \\\n", "0 NCAR \n", "1 PNNL \n", "2 NASA GISS \n", "3 University of Cologne, TU Delft \n", "4 Stockholm University, Chalmers Technical University \n", "5 U Mimai \n", "6 DWD \n", "7 NCAR \n", "8 NCEP EMC/UMD \n", "9 LLNL \n", "10 UW \n", "11 NCAR \n", "12 Cleveland State University \n", "13 Goethe University Frankfurt \n", "14 Kongju National University \n", "15 Naval Research Lab \n", "16 OU \n", "17 PNNL \n", "18 A.M. Obukhov Institute of Atmospheric Physics RAS, RSCC LMSU \n", "19 PNNL and LLNL \n", "20 IAP RAS, Hydrometcenter of Russia, Institute of Numerical Mathematics RAS \n", "21 Finnish Meteorological Institute \n", "\n", " Email address \\\n", "0 tjuliano@ucar.edu \n", "1 mikhail.ovchinnikov@pnnl.gov \n", "2 ft2544@columbia.edu \n", "3 neggers@meteo.uni-koeln.de, jchylik@uni-koeln.de, F.R.Jansson@tudelft.nl, S.R.deRoode@tudelft.nl \n", "4 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 \n", "5 pzuidema@miami.edu \n", "6 martin.koehler@dwd.de \n", "7 kkchandr@ucar.edu, morrison@ucar.edu \n", "8 nick.szapiro@noaa.gov \n", "9 zheng7@llnl.gov \n", "10 pblossey@uw.edu \n", "11 cmcclus@ucar.edu \n", "12 t.heus@csuohio.edu; g.raghunathan@csuohio.edu\\n \n", "13 apossner@iau.uni-frankfurt.de \n", "14 hyunho.lee@kongju.ac.kr \n", "15 qingfang.jiang@nrlmry.navy.mil \n", "16 zachary.lebo@ou.edu \n", "17 shuaiqi.tang@pnnl.gov \n", "18 chechin@ifaran.ru, and.debol@srcc.msu.ru, mortikov@srcc.msu.ru \n", "19 susannah.burrows@pnnl.gov, xie2@llnl.gov, caldwell19@llnl.gov, zhang55@llnl.gov, johannes.muelmenstaedt@pnnl.gov, naser.mahfouz@pnnl.gov, terai1@llnl.gov \n", "20 chechin@ifaran.ru, mtolstykh@mail.ru, rost.fadeev@gmail.com \n", "21 tomi.raatikainen@fmi.fi, sami.romakkaniemi@fmi.fi \n", "\n", " Modeling System(s) \\\n", "0 WRF, CCPP-SCM \n", "1 SAM \n", "2 DHARMA LES, GISS ModelE3 SCM \n", "3 DALES \n", "4 AOSCM and MIMICA \n", "5 -- \n", "6 ICON-SCM \n", "7 CM1 \n", "8 CCPP-SCM \n", "9 DP-SCREAM, E3SM \n", "10 SAM \n", "11 SCAM \n", "12 MicroHH \n", "13 ICON-LEM \n", "14 PALM \n", "15 COAMPS \n", "16 WRF \n", "17 E3SMv2 \n", "18 MSU-INM LES \n", "19 E3SMv3, EAMxx (global storm-resolving model) \n", "20 SL-AV SCM \n", "21 UCLALES-SALSA \n", "\n", " LES, SCM, or Both? \\\n", "0 Both \n", "1 LES \n", "2 Both \n", "3 Both \n", "4 Both \n", "5 -- \n", "6 SCM \n", "7 LES \n", "8 SCM \n", "9 SCM (E3SMv2 and v3) \n", "10 LES \n", "11 SCM \n", "12 LES \n", "13 LES \n", "14 LES \n", "15 BOth \n", "16 LES \n", "17 SCM \n", "18 LES \n", "19 global simulations with nudged meteorology; possibly also SCM (TBD) \n", "20 SCM \n", "21 LES \n", "\n", " Research Interest(s) / Area(s) of Expertise \\\n", "0 Mesoscale cloud organization, turbulence-microphysics interactions \n", "1 NaN \n", "2 Cloud-aerosol interaction, mixed-phase cloud microphysics, overcast-to-broken cloud transition \n", "3 Cloud-aerosol-turbulence interactions, Spatial organization, Air mass transitions \n", "4 Airmass transformations, turbulence, aerosols and cloud dynamics and microphysics \n", "5 cloud transitions in a mixed-phase environment \n", "6 Model evaluation, liquid-ice fraction, turbulence/sedimentation fluxes, rolls versus cells \n", "7 Microphysics-turbulence interactions, microphysical processes, cloud dynamics, mesoscale organization \n", "8 Model evaluation and development \n", "9 Cloud mesoscale organization, cloud transition, mixed-phase cloud microphysical processes \n", "10 Cloud-aerosol interactions and mesoscale organization, role of Aitken aerosols \n", "11 Ice Nucleation; Marine aerosol; Mixed phase aerosol-cloud interactions \n", "12 turbulence, cloud dynamics, model evaluation, contrast with EURECA \n", "13 cloud mesoscale organization, transitions, cloud microphysics, secondary ice \n", "14 cloud-aerosol interactions, turbulence effects on microphysics \n", "15 boundary layer clouds, CAO, surface fluxes \n", "16 clouds, aerosol-cloud-precipitation interactions, mesoscale cloud organization \n", "17 aerosol-cloud-precipitation interactions \n", "18 atmospheric boundary-layer evolution, turbulence-clouds interaction \n", "19 Clouds, aerosol-cloud-precipitation interactions, ice nucleation, marine aerosol, model evaluation and development \n", "20 parameterization and model evaluation and development \n", "21 Aerosol-cloud interactions, mixed-phase clouds \n", "\n", " Comments \n", "0 NaN \n", "1 NaN \n", "2 NaN \n", "3 NaN \n", "4 NaN \n", "5 primarily interested from the point of view of CAESAR success \n", "6 NaN \n", "7 Goal is to run with Lagrangian microphysics (SDM) \n", "8 NaN \n", "9 NaN \n", "10 NaN \n", "11 primarily interested for Southern Ocean contrast case that is well constrained \n", "12 NaN \n", "13 NaN \n", "14 NaN \n", "15 NaN \n", "16 NaN \n", "17 NaN \n", "18 NaN \n", "19 Primary goal is to evaluate current & future E3SM atmosphere variants against the LES and obs benchmarks, and other GCMs \n", "20 NaN \n", "21 NaN " ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "model_list = pd.read_excel('https://docs.google.com/spreadsheets/d/' + \n", " '1h0BDDCCJTfIsdvHHNFyA17bpsNAL7405GG69IkC8qJs' +\n", " '/export?gid=0&format=xlsx',\n", " sheet_name='Models')\n", "pd.set_option('display.max_colwidth', None)\n", "model_list" ] }, { "cell_type": "markdown", "id": "d9c775c2", "metadata": { "tags": [] }, "source": [ "## Interested Observational Groups" ] }, { "cell_type": "code", "execution_count": 6, "id": "0d469a75", "metadata": { "tags": [] }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Participant Name(s)AffiliationEmail addressObservational System(s)Variables / Parameters / ProductsSoftware / Post-processingComments
0Maria CadedduDOE ANLmcadeddu@anl.govMWRLWPindependent evaluation of neural netdiscuss with ARM mentor Maria Caddedu
1Damao ZhangPNNLdamao.zhang@pnnl.govKAZR, MPL, MWR2D cloud phaseNaNNaN
2David TurnerNOAA ESRLNaNAERIrefined T, q retrievalNaNNaN
3NaNNaNNaNKAZRIWCindependent evaluation of ARM VAPdiscuss with ARM mentor Damao Zhang
4NaNNaNNaNVIIRS/MODIScomparison of satellite cloud retrievals near Andenes to COMBLE observationsNaNNaN
5Pavlos Kollias, Zackary MagesSBUpavlos.kollias@stonybrook.edu, zackary.mages@stonybrook.eduKAZR, MWR, LidarVertical air motion, LWP, TKE, Hydrometeor types (Parsivel)NaNNaN
6Peng Wu, Mikhail OvchinnikovPNNLpeng.wu@pnnl.gov, Mikhail.Ovchinnikov@pnnl.govsatellitecloud organization, morphologyNaNNaN
7Florian Tornow, Greg Elsaesser, Tim Juliano, Paquita ZuidemaGISSflorian.tornow@nasa.gov, gregory.s.elsaesser@nasa.govsatelliteLWP (Lagrangian evolution)NaNNaN
8Zhibo ZhangUMBCzhibo.zhang@umbc.edusatelliteuse satellite observations to understand the transition of cloud phase in CAO cloudsNaNmostly from the angle of climatology
9Christian Lackner, Tim Juliano, Bart GeertsU Wyoming, NCARclackner@uwyo.edusatellite (SAR)10m wind speedNaNNaN
\n", "
" ], "text/plain": [ " Participant Name(s) \\\n", "0 Maria Cadeddu \n", "1 Damao Zhang \n", "2 David Turner \n", "3 NaN \n", "4 NaN \n", "5 Pavlos Kollias, Zackary Mages \n", "6 Peng Wu, Mikhail Ovchinnikov \n", "7 Florian Tornow, Greg Elsaesser, Tim Juliano, Paquita Zuidema \n", "8 Zhibo Zhang \n", "9 Christian Lackner, Tim Juliano, Bart Geerts \n", "\n", " Affiliation \\\n", "0 DOE ANL \n", "1 PNNL \n", "2 NOAA ESRL \n", "3 NaN \n", "4 NaN \n", "5 SBU \n", "6 PNNL \n", "7 GISS \n", "8 UMBC \n", "9 U Wyoming, NCAR \n", "\n", " Email address \\\n", "0 mcadeddu@anl.gov \n", "1 damao.zhang@pnnl.gov \n", "2 NaN \n", "3 NaN \n", "4 NaN \n", "5 pavlos.kollias@stonybrook.edu, zackary.mages@stonybrook.edu \n", "6 peng.wu@pnnl.gov, Mikhail.Ovchinnikov@pnnl.gov \n", "7 florian.tornow@nasa.gov, gregory.s.elsaesser@nasa.gov \n", "8 zhibo.zhang@umbc.edu \n", "9 clackner@uwyo.edu \n", "\n", " Observational System(s) \\\n", "0 MWR \n", "1 KAZR, MPL, MWR \n", "2 AERI \n", "3 KAZR \n", "4 VIIRS/MODIS \n", "5 KAZR, MWR, Lidar \n", "6 satellite \n", "7 satellite \n", "8 satellite \n", "9 satellite (SAR) \n", "\n", " Variables / Parameters / Products \\\n", "0 LWP \n", "1 2D cloud phase \n", "2 refined T, q retrieval \n", "3 IWC \n", "4 comparison of satellite cloud retrievals near Andenes to COMBLE observations \n", "5 Vertical air motion, LWP, TKE, Hydrometeor types (Parsivel) \n", "6 cloud organization, morphology \n", "7 LWP (Lagrangian evolution) \n", "8 use satellite observations to understand the transition of cloud phase in CAO clouds \n", "9 10m wind speed \n", "\n", " Software / Post-processing Comments \n", "0 independent evaluation of neural net discuss with ARM mentor Maria Caddedu \n", "1 NaN NaN \n", "2 NaN NaN \n", "3 independent evaluation of ARM VAP discuss with ARM mentor Damao Zhang \n", "4 NaN NaN \n", "5 NaN NaN \n", "6 NaN NaN \n", "7 NaN NaN \n", "8 NaN mostly from the angle of climatology \n", "9 NaN NaN " ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "obs_list = pd.read_excel('https://docs.google.com/spreadsheets/d/' + \n", " '1h0BDDCCJTfIsdvHHNFyA17bpsNAL7405GG69IkC8qJs' +\n", " '/export?gid=1705827066&format=xlsx',\n", " sheet_name='Observations')\n", "pd.set_option('display.max_colwidth', None)\n", "obs_list" ] }, { "cell_type": "code", "execution_count": null, "id": "99fb6eb0", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.9" } }, "nbformat": 4, "nbformat_minor": 5 }