aerocom:phase3-experiments

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aerocom:phase3-experiments [2020-05-14 15:07:39]
xiaohua.pan@nasa.gov [Biomass burning emission 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 +ATTENTION - THIS WIKI PAGE IS NO LONGER UPDATED - PLEASE GO TO [[http://aerocom.met.no/|aerocom.met.no]]FOR LATEST INFO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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 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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-===== 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 
  
 ===== Trans-Atlantic Dust Deposition (TADD) analysis ===== ===== Trans-Atlantic Dust Deposition (TADD) analysis =====
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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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 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)
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 ===== Aerosol GCM Trajectory Experiment (GCMTraj) ===== ===== Aerosol GCM Trajectory Experiment (GCMTraj) =====
  
-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.+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. 
 + 
 +**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]].
  
 **Contact**: Daniel Partridge ([[D.G.Partridge@exeter.ac.uk]]), Paul Kim ([[p.s.kim@exeter.ac.uk]]) **Contact**: Daniel Partridge ([[D.G.Partridge@exeter.ac.uk]]), Paul Kim ([[p.s.kim@exeter.ac.uk]])
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 **Column with diagnostic requests in excel sheet**: TRAJ **Column with diagnostic requests in excel sheet**: TRAJ
  
-**Document(s) with more info**: All relevant documentation can be found [[https://drive.google.com/drive/folders/1In35b3Z5iEignZAk3Ad2INAx2JKU3dA3?usp=sharing|here]].+**Experiment description**: The experiment rationale and description can be found [[https://drive.google.com/file/d/1w26206Ed9KWvkK72NYKK1xjFlkT0mFAJ/view?usp=sharing|here]]. 
 + 
 +**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]].
  
-Last update: Mar. 13th, 2019+Last update: Jul. 20th, 2020
  
  
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