aerocom:phase3-experiments

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aerocom:phase3-experiments [2019-02-11 21:13:46]
xiaohua.pan@nasa.gov [Biomass burning injection height experiment (BBEIH)] 		aerocom:phase3-experiments [2022-05-31 09:29:31] (current)
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 +ATTENTION - THIS WIKI PAGE IS NO LONGER UPDATED - PLEASE GO TO [[http://aerocom.met.no/|aerocom.met.no]]FOR LATEST INFO
 +
 ====== AeroCom phase III experiments ====== ====== AeroCom phase III experiments ======
  
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 Files from AeroCom phase III experiments should be found on the aerocom-users server under Files from AeroCom phase III experiments should be found on the aerocom-users server under
  
-/metno/aerocom/users/aerocom1/AEROCOM-PHASE-III/{model}+/metno/aerocom-users-database/AEROCOM-PHASE-III/{model}
  
 For submissions of data to any experiment described below, please follow the instructions given [[aerocom:data_submission|here]] For submissions of data to any experiment described below, please follow the instructions given [[aerocom:data_submission|here]]
  
-An excel file with all diagnostics requests can be found here (link to be added soon). + 
-} +===== Common requirement: Harmonized anthropogenic, biomass burning, and volcanic emission data sets =====
-===== Harmonized emission datasets =====+
  
 The currently proposed and on-going AeroCom Phase III model experiments require to use the same emission datasets for all simulations: The currently proposed and on-going AeroCom Phase III model experiments require to use the same emission datasets for all simulations:
  
-  * Anthropogenic and biomass burning emissions: CMIP6 emission datasets that can be obtained from [[https://esgf-node.llnl.gov/search/input4mips/]]. A brief description and information can be found here {{ :aerocom:Anthro+BB_emissions.pdf |}}.+  * Anthropogenic emissions: Community Emission Data System (CEDS) for CMIP6, currently available for 1750-2014 
 +  * Biomass burning emissions: CEDS for CMIP6, currently available for 1750-2015 
 +  * Volcanic emission is based on the TOMS- and OMI-based estimates, currently available for 1979-2018 (the eruptive (1979- Feb 2019) and degassing (2000-2005) volcanic SO2 emissions from S. Carn in an excel sheet can be found here {{ :aerocom:Carn_VolcEmi_erup+degassing_as-of-Feb2019.xls |}}.
  
-  * Volcanic emission is based on the TOMS- and OMI-based estimates, 1979-2018 (to be completed).+A brief description, recommendations of anthropogenic emission beyond 2014 and biomass burning emissions beyond 2015, additional biomass burning data set, access to the emission data sets, and other information can be found here {{ :aerocom:A3_anthro-bb-volc_emission_requirements_v2019-02-26.pdf |}}.
  
-===== Unified transport and wet/dry removal tracers =====+===== Common requirement: Unified transport and deposition tracers =====
  
-To diagnose the characteristics and model differences of transport and removal processes, it is important to implement common tracer of transport and dry/wet removal across all models.+To diagnose and evaluate the characteristics and model differences of transport and removal processes, it is important to implement common tracers of transport and dry/wet removal processes across all models.
  
-  * Transport tracer: CO with 50-day lifetime with prescribed direct anthropogenic and biomass burning emissions, oxidation from anthropogenic NMVOC (aVOC) and biogenic NMVOC (bVOC), and oxidation from CH4. Description from here {{ :aerocom:transport_tracer.docx |}}.+  * Transport tracer: CO with 50-day lifetime with prescribed direct anthropogenic and biomass burning emissions, oxidation from NMVOC from anthropogenic, biomass burning, and biogenic emissions, and oxidation from CH4. 
 +  * Removal tracer: Pb-210, which is formed from Rn-222 decay (5.5-day lifetime). Its dry/wet removal processes should be treated the same as sulfate. 
  
-  * Removal tracer: Pb-210, which is formed from Rn-222 decay (5.5-day lifetime). Its dry/wet removal process should be treated the same as sulfate. Rn-222 land emissions can be obtained (to be listed), and the description of model implementation can be found here {{ :aerocom:removal_tracer.docx |}}.+Descriptions of tracers, access to the CO tracer sources and Rn-222 emission, and other information can be found here {{ :aerocom:A3_tracer_requirements_v2019-10-10c.pdf |}}.
  
 +===== Common AeroCom phase III Diagnostics Request 2019 =====
  
 +The diagnostics for most of the experiments mentioned on this wiki page are put together here:
 +
 +[[https://docs.google.com/spreadsheets/d/1NiHLVTDsBo0JEBSnnDECNI2ojUnCVlxuy2PFrsRJW38/edit?usp=sharing | AeroCom experiments diagnostics sheets 28.2.2019]]
 +
 +Be aware of updates ! versions will have a date attached.
 ===== AeroCom Control EXPERIMENT 2019 ===== ===== AeroCom Control EXPERIMENT 2019 =====
  
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 Contact: Michael Schulz michael.schulz@met.no Contact: Michael Schulz michael.schulz@met.no
  
-Status: Diagnostics and new instructions (new filenames) are assembled in new tables, see below (Jan 2019).  +Status: ACTIVE taking submissions, Diagnostics and new instructions (new filenames) are assembled in new tables, see below (Feb 2019).  
  
-Submission deadline: **15 June 2019**+Submission deadline: **01 June 2019** ( welcome earlier when submitting eg for other experiments !)
  
 Timeline: Initial analysis of forcing, life cycle analysis, comparison to basic parameters such as AOD, deposition, concentrations, scattering and absoprtion until next AeroCom workshop in Sep 2019, Barcelona. Reference publication to be submitted by December 2019. Timeline: Initial analysis of forcing, life cycle analysis, comparison to basic parameters such as AOD, deposition, concentrations, scattering and absoprtion until next AeroCom workshop in Sep 2019, Barcelona. Reference publication to be submitted by December 2019.
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 Column with diagnostic requests in excel sheet: AP3-CTRL Column with diagnostic requests in excel sheet: AP3-CTRL
  
-Document(s) with more info: Kept in Google sheets - ask for access to Michael, Recent 29.1.2019 version: {{ :aerocom:AeroCom diagnostics CTRL+X 2018_2019-192901.xlsx |Diagnostics tables}} +Document(s) with more info: Kept in Google sheets see above 
 ===== Aerosol absorption analysis (experiment) ===== ===== Aerosol absorption analysis (experiment) =====
  
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 Status: Active. Taking submissions. Status: Active. Taking submissions.
  
-Submission deadline: 01. May 2019+Submission deadline: 01. June 2019
  
 Timeline: Initial analysis completed by AeroCom 2019. Paper to be submitted by December 2019 (IPCC deadline).  Timeline: Initial analysis completed by AeroCom 2019. Paper to be submitted by December 2019 (IPCC deadline). 
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 Contact: Nick Schutgens (Vrije Universiteit, NL); n.a.j.schutgens@vu.nl Contact: Nick Schutgens (Vrije Universiteit, NL); n.a.j.schutgens@vu.nl
  
-Status: TBD+Status: 
  
-Submission deadline: May 1 2017 (proposed)+Submission deadline: Submissions still accepted but contact Nick first
  
-Timeline: TBD+Timeline: Two papers submitted by the end of 2019 
  
-Column with diagnostic requests in excel sheet: TBD+Column with diagnostic requests in excel sheet: 3 hourly 2D and 3D aerosol fields (mostly AOT)
  
 Document(s) with more info: {{:aerocom:aerocom3_CTRL2016_RemSens_v2.pdf|}} or by emailing Nick Schutgens. Document(s) with more info: {{:aerocom:aerocom3_CTRL2016_RemSens_v2.pdf|}} or by emailing Nick Schutgens.
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 ncl: [[https://github.com/kaizhangpnl/sample_insitu]] kindly provided by Kai Zhang   ncl: [[https://github.com/kaizhangpnl/sample_insitu]] kindly provided by Kai Zhang  
  
 +===== Historical experiment =====
 +
 +The main aim of the historical experiment is to understand regional trends in aerosol distribution from 1850 to 2015 and make an AeroCom reference aerosol distribution dataset (1850-2015). This experiment will also quantify the aerosol impact on TOA and surface forcing with a main emphasis on the direct aerosol effect. We underscore that the CMIP6 CEDS emissions must be used for the historical simulations. Simulations can either be performed with fixed sea-surface temperature (SSTs), historically evolving SSTs or fixed meteorology for one year. We encourage radiative forcing simulations, but if difficult to achieve on a short time frame we are interested also to have the aerosol fields without forcing diagnostics. To perform radiative forcing calculation in the case of using SST fields, we encourage double radiation calls. This output should as a minimum be every 10th year until 1980, thereafter a minimum of every 5th year 1980-2015 (preference yearly).
 +
 +Contact: Gunnar Myhre gunnar.myhre@cicero.oslo.no
 +
 +Status: Diagnostics and new instructions (new filenames) are given in the new excel sheet. Taking submission.
 +
 +Submission deadline: 01 June 2019
 +
 +Timeline: Initial analysis of trends in aerosols distribution and radiative forcing ready by next AeroCom workshop in September 2019. Paper to be submitted by December 2019 (IPCC deadline).
 +
 +Column with diagnostic requests in excel sheet: HIST 
 +
 +Document(s) with more info:Concentrations and radiative forcing of anthropogenic aerosols from 1750 to 2014 simulated with the Oslo CTM3 and CEDS emission inventory (Lund et al., 2018) https://www.geosci-model-dev.net/11/4909/2018/gmd-11-4909-2018-discussion.html
  
  
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 “MDB2-C” 4.  Simulate with MDB2 natural and anthropogenic sources with Cnew and Uto  “MDB2-C” 4.  Simulate with MDB2 natural and anthropogenic sources with Cnew and Uto 
  
-===== Historical experiment =====+===== Dust Source Attribution Experiment (DUSA) =====
  
-A short description (about a paragraph) should go here.+This experiment will investigate the impact of dust from the prominent dust source regions, and the source-receptor relationships over land and remote ocean regions. In addition to the previous AeroCom experiments which focus on the regions where dust amount is significant, this proposed study will also analyze the source-receptor relationships over more extended regions including Arctic, Antarctic, Tibetan Plateau, and oceanic areas. In addition, this multi-model experiment also tackles two areas that have not been examined before in AeroCom: the change of dust particle sizes during the long-range transport, and the dust optical depth at the thermal infrared (10 um) wavelength that is mostly sensitive to dust aerosols, which can be compare to the commonly used value at the mid-visible wavelength. Details about the proposed experiment are described here {{ :aerocom:AeroCom_DUSA_proposal_20191204.pdf |}}. The model output variables are listed here {{:aerocom:AEROCOM3_DUSA_diagnostics_20191202.xlsx|}}, and the file of tagged region domains is provided in the netcdf file (0.5 deg) here [[https://croc.gsfc.nasa.gov/gocart/products/xchange/aerocom/aerocom3/files/|dusrc_tagmap.x720_y360.nc]].
  
-Contact: Gunnar Myhre gunnar.myhre@cicero.oslo.no+Contact: Dongchul Kim (NASA GSFC) [[dongchul.kim@nasa.gov]]
  
 Status: TBD Status: TBD
  
-Submission deadline: TBD+Submission deadline: 30 June 2020
  
-Timeline: TBD 
  
-Column with diagnostic requests in excel sheet: TBD 
- 
-Document(s) with more info: TBD 
  
  
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 ===== UTLS aerosol experiments ===== ===== UTLS aerosol experiments =====
  
-The upper troposphere/lower stratosphere (UTLS) is a crucial region for Earth's climate, where changes of aerosol loading and composition can have a direct impact on the amount of radiation absorbed and emitted. The proposed UTLS model experiments has the following objectives: (1) Compare and evaluate the model simulated aerosol and precursors in the UTLS regions in recent decades, (2) examine the pathways of aerosols in the UTLS region (e.g., roles of convective transport, chemistry, and direct injection), (3) Assess the contributions of anthropogenic and volcanic emissions to the decadal variations of UTLS aerosols. It will be coordinated with and benefited from other community projects, such as the IGAC/SPARC Atmospheric Composition and Asian Monsoon (ACAM), and the SPARC Stratospheric Sulfur and its Role in Climate (SSiRC). These objectives will be achieved by designed model experiments described here: {{:aerocom:A3_UTLS_2019-01-23.pdf|File}}+The upper troposphere/lower stratosphere (UTLS) is a crucial region for Earth's climate, where changes of aerosol loading and composition can have a direct impact on the amount of radiation absorbed and emitted. The proposed UTLS model experiments has the following objectives: (1) Compare and evaluate the model simulated aerosol and precursors in the UTLS regions in recent decades, (2) examine the pathways of aerosols in the UTLS region (e.g., roles of convective transport, chemistry, and direct injection), (3) Assess the contributions of anthropogenic and volcanic emissions to the decadal variations of UTLS aerosols. It will be coordinated with and benefited from other community projects, such as the IGAC/SPARC Atmospheric Composition and Asian Monsoon (ACAM), and the SPARC Stratospheric Sulfur and its Role in Climate (SSiRC). These objectives will be achieved by designed model experiments described here: {{:aerocom:A3_UTLS_2019-11-26.pdf |}}
  
 Contact: Mian Chin (NASA GSFC) [[mian.chin@nasa.gov]] Contact: Mian Chin (NASA GSFC) [[mian.chin@nasa.gov]]
  
-Status: TBD+Status: Taking submissions to AeroCom server.
  
-Submission deadline: 12-31-2019 +Submission deadline: 31-05-2020
- +
-Timeline: TBD+
  
 Column with diagnostic requests in Google Doc excel sheet: [[https://docs.google.com/spreadsheets/d/1EaZO6_FEH6nDhWKE9PvUNpfVkU9RdR2ZT6ahLL2VVEo/edit?ts=5be0af24#gid=1256817062|AeroCom diagnostics CTRL + X 2018/2019]], see column "UTLS" Column with diagnostic requests in Google Doc excel sheet: [[https://docs.google.com/spreadsheets/d/1EaZO6_FEH6nDhWKE9PvUNpfVkU9RdR2ZT6ahLL2VVEo/edit?ts=5be0af24#gid=1256817062|AeroCom diagnostics CTRL + X 2018/2019]], see column "UTLS"
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 +===== Atmospheric Composition and Asian Monsoon (ACAM) analysis =====
 +
 +Motivation: The Asian monsoon system is a major component in Earth’s climate. Given rapid population and economic growth across the Asian monsoon region, serious concern has emerged that coupling between the monsoon system and surface emissions is having increasingly significant effects not only on regional air quality but also on global atmospheric composition. This proposed activity represents a coordinated modeling and analysis effort among the AeroCom, CCMI, and ACAM communities to study interactions between Asian air pollution and the monsoon system.  In Part 1 of ACAM as stated in this docoment, we will only focus on aerosols simulated by global models. In Part 2, we may focus on trace gases by global models, and in Part 3 aerosols and trace gases by regional models. 
 +
 +Objectives: (1) Compare and evaluate model-simulated aerosol and related species in the Asian monsoon region with observations from remote sensing and recent ground-based and aircraft measurements; (2) Identify and examine pathways of trace gases and aerosols in the UTLS above the Asian monsoon with respect to the monsoon anticyclone, large-scale transport, and atmospheric chemistry; (3) Investigate interactions between Asian pollution and monsoon meteorology
 +
 +
 +A more detailed description can be find here {{:aerocom:ACAM_experiment_description_V10.pdf|}}.  
 +
 +Contact: Xiaohua Pan [[xiaohua.pan@nasa.gov]], Jonathon Wright [[jswright@tsinghua.edu.cn]], Mian Chin [[mian.chin@nasa.gov]]
 +
 +Last update: May 13, 2020 (Make sure to check the latest experiment description above)
 +
 +Status: accepting model submissions
 +
 +Submission deadline: July 31, 2020
 ===== Aerosol-Cloud-Radiation Interaction (ACRI) experiments ===== ===== Aerosol-Cloud-Radiation Interaction (ACRI) experiments =====
  
-Our previous study has shown that cloud plays much more important roles on the surface dimming/brightening trends. Aerosol direct radiative effects is only obvious under clear sky conditions. Big questions need to be addressed: (1) What causes the cloud trend? (2) How much is the change of cloud mediated by aerosols through aerosol-cloud-radiation interaction? (3) How does climate change affect the cloud and aerosol trends and their interactions? This proposed ACRI study is to answer the above questions through a set of GCM model experiments described here: {{:aerocom:A3_ACRI_2019-01-21.pdf|File}}+Our previous study has shown that cloud plays much more important roles on the surface dimming/brightening trends. Aerosol direct radiative effects is only obvious under clear sky conditions. Big questions need to be addressed: (1) What causes the cloud trend? (2) How much is the change of cloud mediated by aerosols through aerosol-cloud-radiation interaction? (3) How does climate change affect the cloud and aerosol trends and their interactions? This proposed ACRI study is to answer the above questions through a set of GCM model experiments described here: {{:aerocom:A3_ACRI_2019-01-21.pdf|}}
  
 Contact: Mian Chin (NASA GSFC) [[mian.chin@nasa.gov]] Contact: Mian Chin (NASA GSFC) [[mian.chin@nasa.gov]]
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 Building on the Phase II experiments this effort will support the interpolation of consolidated flight track points from high-temporal resolution model output to minimise the large sampling biases that would otherwise be present. Building on the Phase II experiments this effort will support the interpolation of consolidated flight track points from high-temporal resolution model output to minimise the large sampling biases that would otherwise be present.
 +
 +//**Note**, we are now only requesting a single year of simulation for the mandatory Tier 1 submissions. Tier 2 submissions are also welcome.//
  
 Recent dedicated aircraft measurement campaigns and data collection efforts have delivered a large amount of in-situ aerosol measurements of great value to AeroCom modellers. The Global Aerosol Synthesis and Science Project (GASSP) dataset brings 1000s of separate aircraft measurement flights across 10s of campaigns into a single consistent database. Combining this with data from recent campaigns such as CLARIFY, ORACLES, AToM and ACE-ENA provides a unique opportunity to evaluate AeroCom model aerosol distributions across a wide range of regions and meteorological conditions.  Recent dedicated aircraft measurement campaigns and data collection efforts have delivered a large amount of in-situ aerosol measurements of great value to AeroCom modellers. The Global Aerosol Synthesis and Science Project (GASSP) dataset brings 1000s of separate aircraft measurement flights across 10s of campaigns into a single consistent database. Combining this with data from recent campaigns such as CLARIFY, ORACLES, AToM and ACE-ENA provides a unique opportunity to evaluate AeroCom model aerosol distributions across a wide range of regions and meteorological conditions. 
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 Each campaign includes different measurements of aerosol properties such as size distributions and speciation, and each focuses on different regions or phenomena; however, they all provide valuable model constraints and all require similar sampling considerations. Some campaign or region focussed analyses build on the baseline experiment with their own sensitivity experiments or specialist diagnostics, such as the [[aerocom:phase3-experiments#atom_experiment| ATom experiment]]. Please refer to each extension analysis for further details. Each campaign includes different measurements of aerosol properties such as size distributions and speciation, and each focuses on different regions or phenomena; however, they all provide valuable model constraints and all require similar sampling considerations. Some campaign or region focussed analyses build on the baseline experiment with their own sensitivity experiments or specialist diagnostics, such as the [[aerocom:phase3-experiments#atom_experiment| ATom experiment]]. Please refer to each extension analysis for further details.
  
-For this experiment the flight track points will be provided in a single CF-conformant NetCDF format with time, latitude, longitude, altitude and pressure coordinates. A post-processing script can also be provided allowing interpolation from high-temporal resolution output (at least 3 hourly) using the CIS tool to output in the same CF-compliant NetCDF format as the sample data, and then deletion of the full output fields. Vertical interpolation will automatically be performed by height or pressure as required. Some models have implemented a ‘flight-track simulator’ to allow on-line interpolation of these spatially sparse measurement points, thus avoiding significant output storage requirements.+For this experiment the flight track points will be provided in a single CF-conformant NetCDF format with time, latitude, longitude, altitude and pressure coordinates. A post-processing script can also be provided allowing interpolation from high-temporal resolution output (at least 3 hourly) using the [[https://cistools.net|CIS]] tool to output in the same CF-compliant NetCDF format as the sample data, and then deletion of the full output fields. Vertical interpolation will automatically be performed by height or pressure as required. Some models have implemented a ‘flight-track simulator’ to allow on-line interpolation of these spatially sparse measurement points, thus avoiding significant output storage requirements. 
 + 
 +The CIS commands required are very simple and the syntax is described in the documentation [[https://cis.readthedocs.io/en/stable/collocation.html|documentation]]. An example command to extract the tracers from a set of model outputs for March 2009 would be: 
 +  cis col <tracer_vars>:model_file_2009_03_??.nc all_points_200903??.nc -o tracers_200903.nc 
 +   
 +A python interface is also available if preferred.
  
 Contact: Duncan Watson-Parris (Oxford) [[duncan.watson-parris@physics.ox.ac.uk|duncan.watson-parris@physics.ox.ac.uk]], Philip Stier (Oxford) [[philip.stier@physics.ox.ac.uk|philip.stier@physics.ox.ac.uk]] Contact: Duncan Watson-Parris (Oxford) [[duncan.watson-parris@physics.ox.ac.uk|duncan.watson-parris@physics.ox.ac.uk]], Philip Stier (Oxford) [[philip.stier@physics.ox.ac.uk|philip.stier@physics.ox.ac.uk]]
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 Status: Submission phase Status: Submission phase
  
-Submission deadline: March 2019+Submission deadline: Summer 2020
  
-Timeline: TBD+Timeline: First publications ready Autumn 2020
  
 Column with diagnostic requests in excel sheet: Aircraft Column with diagnostic requests in excel sheet: Aircraft
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 Document(s) with more info: Document(s) with more info:
  
-**Experiment description:** {{ :aerocom:AeroCom_aircraft_experiment_v1.6.docx |}}+**Experiment description:** {{ :aerocom:AeroCom_aircraft_experiment_v1.7.docx |}}
  
 **Requested diagnostics:** See Phase III CTRL-X diagnostics ('atFlightTrack' sheet) **Requested diagnostics:** See Phase III CTRL-X diagnostics ('atFlightTrack' sheet)
  
-**Flight-track points:** {{ :aerocom:AeroCom_combined.zip | All hindcast points }} {{ :aerocom:AeroCom_combined_1850.zip | All points fixed to 1850 }} {{ :aerocom:AeroCom_combined_2008.zip | All points fixed to 2008}}+**Flight-track points:** {{ :aerocom:AeroCom_combined_v.1.1.zip | All hindcast points (v1.1) }} {{ :aerocom:AeroCom_combined_1850_v1.1.zip | All points fixed to 1850 (v1.1) }} {{ :aerocom:AeroCom_combined_2008_v1.1.zip | All points fixed to 2008 (v1.1)}}
  
 **Ongoing analyses:** [[https://docs.google.com/document/d/14djoOBiJJsePZ5IwZW_26nyU9y8GU6kPzDrK-wwwCmc/edit?usp=sharing|Google Doc]] **Ongoing analyses:** [[https://docs.google.com/document/d/14djoOBiJJsePZ5IwZW_26nyU9y8GU6kPzDrK-wwwCmc/edit?usp=sharing|Google Doc]]
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 Contact: Huisheng Bian (NASA) [[huisheng.bian@nasa.gov|huisheng.bian@nasa.gov]]; Christina Williamson (NOAA) [[christina.williamson@noaa.gov|christina.williamson@noaa.gov]]; Mian Chin (NASA) [[mian.chin@nasa.gov|mian.chin@nasa.gov]] Contact: Huisheng Bian (NASA) [[huisheng.bian@nasa.gov|huisheng.bian@nasa.gov]]; Christina Williamson (NOAA) [[christina.williamson@noaa.gov|christina.williamson@noaa.gov]]; Mian Chin (NASA) [[mian.chin@nasa.gov|mian.chin@nasa.gov]]
  
-Submission deadline: TBD+Submission deadline: July 31, 2019
  
-Status: accepting model submissions. Last update: Feb. 7, 2019.+Status: accepting model submissions. Last update: Mar. 6, 2019.
  
 Document(s) with more info: Document(s) with more info:
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 **Status**: Ongoing **Status**: Ongoing
  
-**Submission deadline**: accepting model submissions. Last update: Feb. 5, 2019.+**Submission deadline**: accepting model submissions. Last update: May. 21, 2019.
  
 **Timeline**: For Holuhraun: Model submissions started. Early analysis and presentation of results expected by Oct 2019. For Kilauea: Limited submission so far (4 groups have run the experiment with different emissions, we will coordinate and present early analyses at the Oct 2019 AEROCOM meeting. **Timeline**: For Holuhraun: Model submissions started. Early analysis and presentation of results expected by Oct 2019. For Kilauea: Limited submission so far (4 groups have run the experiment with different emissions, we will coordinate and present early analyses at the Oct 2019 AEROCOM meeting.
  
-**Column with diagnostic requests in excel sheet**: [[https://drive.google.com/drive/folders/1kDjywuf-5DND2kiiQw3hsPav9SQka2uO|Holuhraun]]. Will update details for Kilauea soon. +**Column with diagnostic requests in excel sheet**: Column 'VolcACI' in aermonthy-2D, aermonthy-3D, aerfixed, aer6hr, aer3hr-2d and aer3hr-3D sheets. [[https://drive.google.com/open?id=1p0A0w6BbG-5dvg5-YrEE2mQ_eNZ5ASKF|External link]] to the former diagnostics list for this experiment . Details for Kilauea updated. 
  
-**Document(s) with more info**: [[https://drive.google.com/drive/folders/1kDjywuf-5DND2kiiQw3hsPav9SQka2uO|Holuhraun]]. Will update details for Kilauea. +**Document(s) with more info**: [[https://drive.google.com/file/d/1e_GDV_TrP9FqMS1L0Zqddl7MRbl1SLp1/view?usp=sharing|.docx]][[https://drive.google.com/file/d/1aRQDQz80uaVg5N4-yVke50OsYhfdlS9W/view?usp=sharing|.pdf]]. 
  
-===== Aerosol GCM Trajectory Experiment =====+===== Aerosol GCM Trajectory Experiment (GCMTraj) =====
  
-A short description (about a paragraph) should go here.+This experiment aims to perform a multi-model evaluation against reanalysis meteorological fields combined with ground-based observations of aerosol properties in a trajectory-based Lagrangian framework.  The representation of source and transport dependence of aerosols to different regions will be examined. Applying trajectory calculations to the meteorological fields from reanalysis and GCM data for the same location and time-period facilitates a highly transparent means for evaluating the discrepancies between models and observations as a function of aerosol source/sink pathways during transport to a measurement station. This analysis technique will have wide scientific relevance as it facilitates tracing the aerosol evolution during transport to investigate the role of sources, dynamical processes and sinks on the aerosol properties in the model. For further details, see experiment documentation linked below.
  
-Contact: Daniel Partridge D.G.Partridge@exeter.ac.uk+**Ongoing analysis**: A report summarising the results from the development phase of the experiment can be found [[https://drive.google.com/file/d/1Z9dKW4yCsAKtIlp--X2o6N7WzrGvfMji/view?usp=sharing|here]].
  
-Status: TBD+**Contact**: Daniel Partridge ([[D.G.Partridge@exeter.ac.uk]]), Paul Kim ([[p.s.kim@exeter.ac.uk]])
  
-Submission deadline: TBD+**Status**: ongoing.
  
-Timeline: TBD+**Submission deadline**: accepting model submissions.
  
-Column with diagnostic requests in excel sheet: TBD+**Timeline**: obtain results for initial (phase 1) submissions by May 2019. Presentation of results at Oct 2019 AeroCom meeting.
  
-Document(s) with more info: TBD+**Column with diagnostic requests in excel sheet**: TRAJ
  
 +**Experiment description**: The experiment rationale and description can be found [[https://drive.google.com/file/d/1w26206Ed9KWvkK72NYKK1xjFlkT0mFAJ/view?usp=sharing|here]].
  
-===== Multi-model PPE =====+**Document(s) with more info**: All relevant documentation (including the files linked above) can be found [[https://drive.google.com/drive/folders/1In35b3Z5iEignZAk3Ad2INAx2JKU3dA3?usp=sharing|here]].
  
-A short description (about a paragraph) should go here.+Last update: Jul. 20th, 2020 
 + 
 + 
 +===== Multi-model PPE – Cloud experiment ===== 
 + 
 +The goal is to understand what factors affect the magnitude of the aerosol-cloud interactions in several different model systems. The indirect radiative effect of aerosols on clouds (ACI, or ERF_ACI according to the IPCC) is the largest uncertainty in climate forcing over the historical record. Sophisticated earth system models typically treat aerosols cloud interactions as a series of processes starting with aerosols and total Cloud Condensation Nuclei (CCN), to activation of aerosols as cloud droplets (Activation) to the loss process for cloud water, often through precipitation (Autoconversion). This experiment will test several different processes to see how ACI are sensitive to the process representations, and in what combination.  
 + 
 +Each participating model will run a 3-parameter perturbed parameter experiment (PPE). This will consist of 39 pre-defined simulations that will be run for the years 2008 and 1850 + any required spin-up time. The 2008 simulations will be the priority but 1850 simulations are required to calculate the radiative forcing. This is a total of 78 years of simulation + spin-up. The pre-defined simulations will allow statistical modelling to be carried out for defined diagnostics producing sensitivity analyses that will be used to compare individual models following Lee, et al. 2011 and Carslaw et al. 2013. Participants are also requested to submit the results of the one-at-a-time high/low tests used to test the implementation of the perturbation for initial comparisons. 
  
 Contact: Lindsay Lee L.A.Lee@leeds.ac.uk Contact: Lindsay Lee L.A.Lee@leeds.ac.uk
  
-Status: TBD+Status: Sign-up open and one-at-a-time test results being accepted.  PPE simulation results accepted from September 2019.   
  
-Submission deadline: TBD+Submission deadline: For inclusion in AeroCom 2019, one-at-a-time results should be received in August 2019.  For inclusion in AeroCom 2020 monthly diagnostics should be submitted by July 2020. 
  
-Timeline: TBD+Timeline: We hope to present some high/low comparisons from multiple models at AeroCom 2019.  First results from the multi-model PPE will be presented at AeroCom 2020.     
  
 Column with diagnostic requests in excel sheet: TBD Column with diagnostic requests in excel sheet: TBD
  
-Document(s) with more info: TBD+Document(s) with more info: {{ :aerocom:AeroComMMPPE_cloudexperimentprotocolV1.pdf |Cloud experiment protocol}} 
 +===== Multi-model PPE – BC experiment =====
  
 +Direct radiative forcing due to anthropogenic black carbon (BC) is highly uncertain but best estimates suggest a large positive effect (+0.71 [+0.08, +1.27] W m-2).  The uncertainty in the total forcing is due to large uncertainties in the atmospheric burden of BC and its radiative properties. The uncertainty in the burden is in-turn due to the uncertainty in emissions (7500 [2000, 29000] Gg yr-1) and lifetime (removal rates). In comparison with the available observations GCMs tend to under-predict absorption near source (e.g. at Aeronet stations), and over-predict concentrations in remote regions (e.g. as measured by HIPPO). By exploring the uncertainties in the dominant emission and removal processes, and in the key radiative property (the imaginary part of the refractive index) and comparing with a variety of observations we hope to better constrain the radiative forcing.
  
-===== Biomass burning injection height experiment (BBEIH) ===== +We aim to address the uncertainty in direct radiative forcing in a unique way by developing a new approach to tackle two dominant sources of model uncertainty: structural uncertainty and parametric uncertainty.  We will do this via a multi-model perturbed parameter ensemble (MMPPE).
-Smoke aerosols can adversely affect surface air quality and visibility near emission sources and even hundreds to thousands of km downwind, and thus create health and aviation hazards. They also have impacts on air temperature, cloud properties and precipitation. The atmospheric composition of smoke aerosols depends not only on the emitted mass, but also on the injection height. This is especially true for large boreal forest fires that often emit smoke above planetary boundary layer (PBL) into the free troposphere and even the lower stratosphere. However, most atmospheric chemistry transport models (CTMs) assume that fire emissions are dispersed only within PBL, or use simple plume-rise parameterizations.The objectives of this project is to test the sensitivity of various model results to biomass burning smoke injection height, where the biomass burning injection height is based on MISR (Val Martin et al., 2010; 2018), as compared to the nominal model value.This proposed BBEIH study is to answer this question through a set of GCM model experiments described here: {{:aerocom:AeroCom Phase_III_plume_injection_height_v4.docx|File}}+
  
 +Each participating model will run a 3-parameter perturbed parameter ensemble (PPE).  This will consist of 39 pre-defined simulations that will be run for the years 2008 and 1850 + any required spin-up time.  The 2008 simulations will be the priority but 1850 simulations are required to calculate the radiative forcing.  This is a total of 78 years of simulation + spin-up.  The pre-defined simulations will allow statistical modelling to be carried out for defined diagnostics producing sensitivity analyses that will be used to compare individual models following Lee, et al. 2011 and Carslaw et al. 2013.  Participants are also requested to submit the results of the one-at-a-time high/low tests used to test the implementation of the perturbation for initial comparisons. 
  
-Contact: Ralph [[Kahn ralph.kahn@nasa.gov]], Xiaohua Pan [[xiaohua.pan@nasa.gov]] 
  
-Status: TBD+Contact: Lindsay Lee L.A.Lee@leeds.ac.uk
  
-Submission deadline: TBD+Status: Sign-up open and one-at-a-time test results being accepted.  PPE simulation results accepted from September 2019.      
  
-Timeline: TBD+Submission deadline: For inclusion in AeroCom 2019, one-at-a-time results should be received in August 2019.  For inclusion in AeroCom 2020 monthly diagnostics should be submitted by July 2020.  
 + 
 +Timeline: We hope to present some high/low comparisons from multiple models at AeroCom 2019.  First results from the multi-model PPE will be presented at AeroCom 2020.     
  
 Column with diagnostic requests in excel sheet: TBD Column with diagnostic requests in excel sheet: TBD
  
-Document(s) with more info: TBD+Document(s) with more info: {{ :aerocom:AeroComMMPPE_BCexperimentprotocolV0.2.pdf |BC experiment protocol}} 
 + 
 +[[http://example.com|External Link]] 
 +===== Biomass burning emission injection height experiment (BBEIH) ===== 
 +Smoke aerosols can adversely affect surface air quality and visibility near emission sources and even hundreds to thousands of km downwind, and thus create health and aviation hazards. They also have impacts on air temperature, cloud properties and precipitation. The atmospheric composition of smoke aerosols depends not only on the emitted mass, but also on the injection height. This is especially true for large boreal forest fires that often emit smoke above planetary boundary layer (PBL) into the free troposphere and even the lower stratosphere. However, most atmospheric chemistry transport models (CTMs) assume that fire emissions are dispersed only within PBL, or use simple plume-rise parameterizations.The objectives of this project is to test the sensitivity of various model results to biomass burning smoke injection height, where the biomass burning injection height is based on MISR (Val Martin et al., 2010; 2018), as compared to the nominal model value.This proposed BBEIH study is to answer this question through a set of GCM model experiments. Please read the details in the document: {{:aerocom:AeroCom Phase_III_plume_injection_height_v16.pdf}} 
 + 
 +**Phase III Organizers**: Xiaohua Pan, Ralph Kahn, Mian Chin, Maria Val Martin 
 + 
 +**Contact:**  Xiaohua Pan [[xiaohua.pan@nasa.gov]], Ralph Kahn [[ralph.kahn@nasa.gov]] 
 + 
 +**Last update:** May. 13, 2020  
 + 
 +**Status:** accepting model submissions  
 + 
 +**Submission deadline:** June 30, 2020 
 + 
 +Column with diagnostic requests in Googld Doc excel sheet: [[https://docs.google.com/spreadsheets/d/1EaZO6_FEH6nDhWKE9PvUNpfVkU9RdR2ZT6ahLL2VVEo/edit?ts=5be0af24#gid=1256817062|AeroCom diagnostics CTRL + X 2018/2019]], see column "BBEIH" 
 + 
  
  
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-===== Biomass Burning emissions experiments =====+===== Biomass Burning emissions experiments (2014-2019) =====
  
-A short description (about a paragraph) should go here. A detailed description can be found here (updated November 26, 2014): {{:aerocom:aerocom_bbexperiment_proposed_v3.2.pdf |File}}+BB experiment aims to compare the performance of the global models in simulating transport and optical properties of biomass burning emissions. We provide a set of about 400 fire&smoke cases observed by MODIS instrument (mostly on Terra satellite) in 2008, and compare model-simulated AOD to those observed by MODIS, as well as intercompare model properties. Given that all models are using the same BB emission input (GFEDv3 inventory) any differences in the output will indicate the differences between model configuration. Patterns in the model-model and model-satellite differences reveal nuances in either emission inventory or model setup that produce these differences. We expect to have some constructive feedback for both inventory developers and model groups regarding modeling the BB emissions. A detailed description can be found here (updated November 26, 2014): {{:aerocom:aerocom_bbexperiment_proposed_v3.2.pdf |File}}
  
-Contact: Mariya Petrenko (NASA GSFC, USA; ORAU, USA), mariya.m.petrenko@nasa.gov +**Contact:** Mariya Petrenko (NASA GSFC/University of Maryland, USA), mariya.m.petrenko@nasa.gov, Ralph Kahn (NASA) Ralph.kahn@nasa.gov, Mian Chin (NASA) mian.chin@nasa.gov 
  
-Status: Model experiment finished, manuscript is in progress (Petrenko et al.)+**Status:** Model experiment finished, manuscript is in progress (Petrenko et al.)
  
-Model Description (Questionnaires filled by the groups in 2015):+**Model Descriptions** (Questionnaires filled by the groups in 2015):
 CAM5 (Kai Zhang, Hailong Wang, Xiaohong Liu): {{:aerocom:CAM5_Liu.xlsx|}} {{:aerocom:CAM5_References_forAeroComQuestionnaie_Liu.docx|}} CAM5 (Kai Zhang, Hailong Wang, Xiaohong Liu): {{:aerocom:CAM5_Liu.xlsx|}} {{:aerocom:CAM5_References_forAeroComQuestionnaie_Liu.docx|}}
 CIFS (Johannes Kaiser, Samuel Remy): {{:aerocom:Aerocom_BB_models_Questionnaire_CIFS.xlsx|}} {{:aerocom:CIFS_Figures_forQuestionnaire.pdf|}} {{:aerocom:CIFS_References_forAeroComQuestionnaire.docx|}} CIFS (Johannes Kaiser, Samuel Remy): {{:aerocom:Aerocom_BB_models_Questionnaire_CIFS.xlsx|}} {{:aerocom:CIFS_Figures_forQuestionnaire.pdf|}} {{:aerocom:CIFS_References_forAeroComQuestionnaire.docx|}}
Line 539: Line 611:
 SPRINTARS (Toshihiko Takemura): {{:aerocom:Aerocom_BB_models_Questionnaire_1_SPRINTARS.xlsx|}} {{:aerocom:SPRINTARS_References_forAeroComQuestionnaie.docx|}} SPRINTARS (Toshihiko Takemura): {{:aerocom:Aerocom_BB_models_Questionnaire_1_SPRINTARS.xlsx|}} {{:aerocom:SPRINTARS_References_forAeroComQuestionnaie.docx|}}
 GISS ModelE (Keren Mezuman, Susanne Bauer, Kostas Tsigaridis): {{:aerocom:Aerocom_BB_models_Questionnaire_GISSModelE.xlsx|}} GISS ModelE (Keren Mezuman, Susanne Bauer, Kostas Tsigaridis): {{:aerocom:Aerocom_BB_models_Questionnaire_GISSModelE.xlsx|}}
- 
 ===== HTAP 2 experiments ===== ===== HTAP 2 experiments =====
  
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