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aerocom:phase3-experiments [2019-03-20 15:01:05] duncan.watson-parris@physics.ox.ac.uk [Baseline Aircraft experiment] |
aerocom:phase3-experiments [2022-05-31 09:29:31] |
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- | ====== AeroCom phase III experiments ====== | ||
- | The AeroCom phase III experiments were initiated in March 2015 to expand earlier work. | ||
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- | Details of experiment design, priorities, requested output, and timeline are described in the linked documents below and also in the priority tables. | ||
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- | Files from AeroCom phase III experiments should be found on the aerocom-users server under | ||
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- | / | ||
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- | For submissions of data to any experiment described below, please follow the instructions given [[aerocom: | ||
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- | ===== Common requirement: | ||
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- | The currently proposed and on-going AeroCom Phase III model experiments require to use the same emission datasets for all simulations: | ||
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- | * 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 | ||
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- | A brief description, | ||
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- | ===== Common requirement: | ||
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- | 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. | ||
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- | * Transport tracer: CO with 50-day lifetime with prescribed direct anthropogenic and biomass burning emissions, oxidation from NMVOC from anthropogenic, | ||
- | * 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. | ||
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- | Descriptions of tracers, access to the CO tracer sources and Rn-222 emission, and other information can be found here {{ : | ||
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- | ===== Common AeroCom phase III Diagnostics Request 2019 ===== | ||
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- | The diagnostics for most of the experiments mentioned on this wiki page are put together here: | ||
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- | [[https:// | ||
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- | Be aware of updates ! versions will have a date attached. | ||
- | ===== AeroCom Control EXPERIMENT 2019 ===== | ||
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- | As for earlier major AeroCom studies, the intention here is to assemble in spring 2019 a set of model simulations representing the state of the art of aerosol modeling. Most important diagnostics for analysing aerosol life cycles and forcing are requested. Simulations for years 2010 and 1850 shall form the basis for a reference paper on phase III of AeroCom and additional experiments and analysis (eg absorption, aircraft, in-situ comparison, historical, median model...). Diagnostics are coordinated with AerChemMIP, so modelling groups may choose to link to simulations made under CMIP6. Submission of data is expected to be done to the AeroCom database at MetNo. | ||
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- | Contact: Michael Schulz michael.schulz@met.no | ||
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- | Status: ACTIVE taking submissions, | ||
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- | Submission deadline: **01 June 2019** ( welcome earlier when submitting eg for other experiments !) | ||
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- | Timeline: Initial analysis of forcing, life cycle analysis, comparison to basic parameters such as AOD, deposition, concentrations, | ||
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- | Column with diagnostic requests in excel sheet: AP3-CTRL | ||
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- | Document(s) with more info: Kept in Google sheets see above | ||
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- | ===== Aerosol absorption analysis (experiment) ===== | ||
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- | Aerosol shortwave absorption affects precipitation and other atmospheric phenomena, through local heating, altering lapse rates and affecting cloud formation. Presently, however, absorption from BC, brown carbon (absorbing OC) and dust is very diversely quantified among AeroCom models. There is also no strong observational constraint on the total, global (or regional) aerosol absorption (see paper linked below). Further, BC - the most strongly absorbing anthropogenic aerosol species - has been shown to cause significant spread in predicted precipitation change under global warming between recent Earth System Models. In response, this AeroCom Phase III experiment aims to better quantify the sources of intermodel spread in (total and per-species) short wave aerosol absorption. We request only standard fields (abs550aer, od550aer etc.), but at three wavelengths (550nm, 440nm, 870nm), to allow for more rigorous comparisons to observations. We also request per-species monthly absorption, at the three wavelengths, | ||
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- | Contact: Bjorn Samset < | ||
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- | Status: Active. Taking submissions. | ||
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- | Submission deadline: 01. May 2019 | ||
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- | Timeline: Initial analysis completed by AeroCom 2019. Paper to be submitted by December 2019 (IPCC deadline). | ||
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- | Column with diagnostic requests in excel sheet: ABS | ||
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- | Document(s) with more info: [[https:// | ||
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- | ===== TOA flux assessment using CERES ===== | ||
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- | The Clouds and the Earth’s Radiant Energy System (CERES) project produces a long-term global climate data record (CDR) that can be used to detect decadal changes in the Earth’s radiation budget (ERB) from the surface to the top-of-atmosphere (TOA). The CERES Energy Balanced and Filled (EBAF) product includes monthly mean shortwave (SW), longwave (LW), and net TOA all-sky and clear-sky radiative fluxes over 1 degree latitude by 1 degree longitude regions. The EBAF SW and LW fluxes are adjusted within their uncertainties to be consistent with the heat storage in the Earth-atmosphere system. EBAF also provides a gap-free monthly mean clear-sky flux map by inferring clear-sky fluxes from both CERES and MODIS measurement. Additionally, | ||
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- | Comparisons between AeroCom phase III experiments with CERES EBAF fluxes will focus on: | ||
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- | 1) Clear-sky flux comparisons between model outputs and CERES EBAF. Clear-sky flux differences are closely linked to aerosol differences, | ||
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- | 2) All-sky flux comparisons between model outputs and CERES EBAF. All-sky flux differences are mostly related to cloud property differences. SW and LW fluxes are sensitive to different cloud properties and their differences can provide insights in the cloud filed simulated by the models. | ||
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- | 3) Decadal trends comparison between model output and CERES EBAF at different spatial scales. These flux trends can be linked with trends of aerosol optical depth, sea ice, and cloud properties to better constrain model simulation. | ||
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- | Contact: Wenying Su, wenying.su-1@nasa.gov | ||
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- | Status: Accepting model submission. | ||
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- | Submission deadline: July 2019 | ||
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- | Timeline: TBD | ||
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- | Column with diagnostic requests in excel sheet: AP3-CTRL | ||
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- | Document(s) with more info: TBD | ||
- | ===== Remote Sensing evaluation for AeroCom Control 2016 ===== | ||
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- | As part of the CTRL2016 experiment, we propose a remote sensing evaluation of models using a variety of satellite sensors (MODIS, PARASOL, AATSR) and ground networks (AERONET, SKYNET). The only requirement to contribute to this experiment is high-frequency (3-hourly) output of a few model fields (such as AOD). | ||
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- | Remote sensing groups have provided us with aggregated (1 by 1 degree) observations. Model data will be collocated with these observations to reduce as much as possible spatio-temporal sampling issues. The evaluation should allow us to study model error in the context of observational uncertainty (estimated from ground site comparisons and diversity among satellite datasets). Interpretation of results will be facilitated by the regular CTRL2016 experiment information on emissions, depositions etc. | ||
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- | Contact: Nick Schutgens (Vrije Universiteit, | ||
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- | Status: | ||
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- | Submission deadline: Submissions still accepted but contact Nick first | ||
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- | Timeline: Two papers submitted by the end of 2019 | ||
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- | Column with diagnostic requests in excel sheet: 3 hourly 2D and 3D aerosol fields (mostly AOT) | ||
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- | Document(s) with more info: {{: | ||
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- | ===== In-situ Measurement Comparison (Optical Properties) ===== | ||
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- | A short description (about a paragraph) should go here. A detailed description can be found here: {{: | ||
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- | Contact: Betsy Andrews (NOAA/ | ||
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- | Status: TBD | ||
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- | Submission deadline: TBD | ||
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- | Timeline: TBD | ||
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- | Follow project progress here: https:// | ||
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- | Column with diagnostic requests in excel sheet: TBD | ||
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- | Document(s) with more info: | ||
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- | List of stations with in-situ measurements to be used in comparison project: {{: | ||
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- | Modeller commitments (updated as commitments are made): https:// | ||
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- | Tools to extract station data at station locations from model fields, output into station netcdf file: | ||
- | ncl: [[https:// | ||
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- | ===== Anthropogenic Dust experiment ===== | ||
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- | Experiments for dust models are proposed to estimate the contribution of land use to dust emission, deposition, and optical properties. In addition a sensitivity study related to the threshold of wind erosion is proposed. Multi-models comparison with observations will provide an envelope of uncertainties.. A detailed description can be found here: {{: | ||
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- | Contact: Paul Ginoux (GFDL) paul.ginoux@noaa.gov | ||
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- | Status: Actual participants (Jan 2019): CAM5 (U. Wyoming), GEOS-Chem (U. l' | ||
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- | Submission deadline: June 2019 | ||
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- | Timeline: | ||
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- | Column with diagnostic requests in excel sheet: Aerocom Phase III Control (AP3-CTRL) | ||
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- | Document(s) with more info: {{ : | ||
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- | Dust source: [[http:// | ||
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- | " | ||
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- | The Anthro-dust experiment consists to run one control experiment (CTRL2016) with standard configuration for 3 years from 2010 to 2012, and perturbed cases with satellite based inventory (MDB2-A; MDB2-Ba…MDB2-Bd; | ||
- | To better constrain the threshold of wind erosion (Ut0) a sensitivity study is performed with Ut0 multiplied by 1 (MDB2-Ba), 0.5 (MDB2-Bb), | ||
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- | Simulation period: 3 years from 2010 to 2012 | ||
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- | " | ||
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- | “MDB2-A" | ||
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- | 3. Simulate with MDB2 anthropogenic sources with Cnew and with: | ||
- | “MDB2-Ba" | ||
- | “MDB2-Bb" | ||
- | “MDB2-Bc" | ||
- | " | ||
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- | “MDB2-C” 4. Simulate with MDB2 natural and anthropogenic sources with Cnew and Uto | ||
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- | ===== Historical experiment ===== | ||
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- | 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, | ||
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- | Contact: Gunnar Myhre gunnar.myhre@cicero.oslo.no | ||
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- | Status: Diagnostics and new instructions (new filenames) are given in the new excel sheet. Taking submission. | ||
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- | Submission deadline: 01 June 2019 | ||
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- | 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). | ||
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- | Column with diagnostic requests in excel sheet: HIST | ||
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- | Document(s) with more info: | ||
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- | ===== Trans-Atlantic Dust Deposition (TADD) analysis ===== | ||
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- | Airborne deposition of mineral dust and associated nutrients could fertilize ocean ecosystems and influence ocean biogeochemical cycles and climate. Model simulations of dust deposition depend strongly on the highly parameterized representations of a suite of dust processes with little constraints. In recent years, several intensive field campaigns have acquired new datasets of microphysical and optical properties of African dust. Satellite remote sensing observations have been applied to characterize the three-dimensional distributions of dust and estimate the dust deposition and loss frequency along the trans-Atlantic transit on a decadal time scale. It is imperative to integrate these new in situ and remote sensing datasets with long-term data from ground-based networks in the region to systematically assess model simulations of dust deposition and identify major deficiencies of dust models. Details about the proposed analysis are described here: {{ : | ||
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- | Contact: Hongbin Yu (NASA GSFC) [[Hongbin.Yu@nasa.gov]] | ||
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- | Status: TBD | ||
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- | Submission deadline: 12-31-2019 | ||
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- | Timeline: TBD | ||
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- | Column with diagnostic requests in Google Doc excel sheet: [[https:// | ||
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- | Document(s) with more info: TBD | ||
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- | ===== UTLS aerosol experiments ===== | ||
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- | The upper troposphere/ | ||
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- | Contact: Mian Chin (NASA GSFC) [[mian.chin@nasa.gov]] | ||
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- | Status: TBD | ||
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- | Submission deadline: 12-31-2019 | ||
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- | Timeline: TBD | ||
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- | Column with diagnostic requests in Google Doc excel sheet: [[https:// | ||
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- | Document(s) with more info: TBD | ||
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- | ===== Aerosol-Cloud-Radiation Interaction (ACRI) experiments ===== | ||
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- | Our previous study has shown that cloud plays much more important roles on the surface dimming/ | ||
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- | Contact: Mian Chin (NASA GSFC) [[mian.chin@nasa.gov]] | ||
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- | Status: TBD | ||
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- | Submission deadline: 12-31-2019 | ||
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- | Timeline: TBD | ||
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- | Column with diagnostic requests in Googld Doc excel sheet: [[https:// | ||
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- | Document(s) with more info: TBD | ||
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- | ===== Baseline Aircraft experiment ===== | ||
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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. | ||
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- | 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, | ||
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- | 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:// | ||
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- | The CIS commands required are very simple and the syntax is described in the documentation [[https:// | ||
- | cis col < | ||
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- | A python interface is also available if preferred. | ||
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- | Contact: Duncan Watson-Parris (Oxford) [[duncan.watson-parris@physics.ox.ac.uk|duncan.watson-parris@physics.ox.ac.uk]], | ||
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- | Status: Submission phase | ||
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- | Submission deadline: March 2019 | ||
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- | Timeline: TBD | ||
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- | Column with diagnostic requests in excel sheet: Aircraft | ||
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- | Document(s) with more info: | ||
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- | **Experiment description: | ||
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- | **Requested diagnostics: | ||
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- | **Flight-track points:** {{ : | ||
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- | **Ongoing analyses:** [[https:// | ||
- | ===== ATom experiment ===== | ||
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- | NASA EVS Atmospheric Tomography Mission (ATom) provided unprecedented and rich measurements for aerosols, clouds, precursor gases, and meteorological fields over global oceans. In this study, we aim to address the AeroCom multi-model simulations of aerosols, new particle formation, and clouds constrained by ATom measurements, | ||
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- | Contact: Huisheng Bian (NASA) [[huisheng.bian@nasa.gov|huisheng.bian@nasa.gov]]; | ||
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- | Submission deadline: July 31, 2019 | ||
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- | Status: accepting model submissions. Last update: Mar. 6, 2019. | ||
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- | Document(s) with more info: | ||
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- | **Experiment description: | ||
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- | **ATom 1-4 flighttracks: | ||
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- | **Diagnostic requests:** See Phase III CTRL-X diagnostics (sheets of ' | ||
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- | ===== Volcanic ACI experiment (VolcACI) ===== | ||
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- | **Abstract**: | ||
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- | This experiment proposes to extend the protocol described in M17 to investigate ACI involving a larger group of ESMs. The experiment requests standard model outputs and should require no further model development. Diagnostic are organised in three packages, with the first mandatory package designed for characterising the big picture ACI (Monthly mean 3D and 2D fields). The two other packages are optional and piggy back on the [[https:// | ||
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- | Observations from different satellite sensors such as MODIS, CloudSat PR, CALIOP and CERES will be made available for model comparison at the big picture ACI level. | ||
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- | **Contact**: | ||
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- | **Status**: Ongoing | ||
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- | **Submission deadline**: accepting model submissions. Last update: Feb. 5, 2019. | ||
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- | **Timeline**: | ||
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- | **Column with diagnostic requests in excel sheet**: [[https:// | ||
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- | **Document(s) with more info**: [[https:// | ||
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- | ===== Aerosol GCM Trajectory Experiment (GCMTraj) ===== | ||
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- | 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. | ||
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- | **Contact**: | ||
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- | **Status**: ongoing. | ||
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- | **Submission deadline**: accepting model submissions. | ||
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- | **Timeline**: | ||
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- | **Column with diagnostic requests in excel sheet**: TRAJ | ||
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- | **Document(s) with more info**: All relevant documentation can be found [[https:// | ||
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- | Last update: Mar. 13th, 2019 | ||
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- | ===== Multi-model PPE – Cloud experiment ===== | ||
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- | 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, | ||
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- | 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. | ||
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- | Contact: Lindsay Lee L.A.Lee@leeds.ac.uk | ||
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- | Status: Sign-up open and one-at-a-time test results being accepted. | ||
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- | 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. | ||
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- | 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. | ||
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- | Column with diagnostic requests in excel sheet: TBD | ||
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- | Document(s) with more info: {{ : | ||
- | ===== Multi-model PPE – BC experiment ===== | ||
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- | 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. | ||
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- | 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: | ||
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- | Each participating model will run a 3-parameter perturbed parameter ensemble (PPE). | ||
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- | Contact: Lindsay Lee L.A.Lee@leeds.ac.uk | ||
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- | Status: Sign-up open and one-at-a-time test results being accepted. | ||
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- | 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. | ||
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- | 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. | ||
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- | Column with diagnostic requests in excel sheet: TBD | ||
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- | Document(s) with more info: {{ : | ||
- | {{ : | ||
- | ===== 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, | ||
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- | **Phase III Organizers**: | ||
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- | **Contact: | ||
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- | **Last update:** Mar. 15, 2019 | ||
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- | **Status:** accepting model submissions | ||
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- | **Submission deadline:** July 31, 2019 | ||
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- | Column with diagnostic requests in Googld Doc excel sheet: [[https:// | ||
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- | ===== In-situ Particle Number Size Distribution (PNSD) Measurement Comparison ===== | ||
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- | A short description (about a paragraph) should go here. A detailed description can be found here: {{: | ||
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- | Contact: Markus Fiebig (NILU), Markus.Fiebig@nilu.no; | ||
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- | Status: TBD | ||
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- | Submission deadline: TBD | ||
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- | Timeline: TBD | ||
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- | Column with diagnostic requests in excel sheet: TBD | ||
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- | Document(s) with more info: | ||
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- | List of stations with in-situ measurements to be used in comparison project {{: | ||
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- | Tools to extract station data at station locations from model fields, output into station netcdf file: | ||
- | ncl: [[https:// | ||
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- | ====== Finished phase III experiments ====== | ||
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- | ===== AeroCom Control EXPERIMENT 2016 ===== | ||
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- | Contact: Michael Schulz (MetNo), michael.schulz@met.no | ||
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- | **Experiment Description and motivation**: | ||
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- | The model versions used for the different experiments are often not easily comparable. New model versions should be documented regularly to establish a state of the art comparison yearly. For this purpose AeroCom offers a semi-automatic platform with visualization via the AeroCom webinterface. Evaluation with surface observations and Aeronet observations will complete the documentation of emissions, removal, burden, lifetime of the major aerosol species. | ||
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- | In 2016 additional motivation we try to revisit the AeroCom evaluation done in 2006. Also - several experiments have been launched (in-situ optical properties, size, biomass burning, dust, nitrate and detailed 3h hourly evaluation to remote sensing data) which should be linked through common output. Also - models prepare for CMIP6 and might be interested in quick feedback. | ||
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- | **Deadline** | ||
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- | Deadline for model submissions to be analysed before the Beijing AeroCom workshop: 1.September, | ||
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- | **Experiment name: AP3-CTRL2016-PD and AP3-CTRL2016-PI** | ||
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- | Two experiments: | ||
- | One with current eg HTAPv2 emissions (*-PD)\\ | ||
- | One with preindustrial emissions (*-PI)\\ | ||
- | OR better using the new CMIP6 emissions.... | ||
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- | **Output request** | ||
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- | Output requested (2D fields, Monthly averages, preferably model nudged to year 2010 meteorology): | ||
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- | Variables-Parameter: | ||
- | EMI-Emissions: | ||
- | (column integrated, if emission at altitude, eg SOA is accumulated in OA emissions)\\ | ||
- | LOAD-Column Loads: BC, OA, SO4, NO3, DUST, SS \\ | ||
- | SCONC-Surface concentrations: | ||
- | DEP-Total Deposition: BC, OA, SO4, NO3, DUST, SS \\ | ||
- | OD550-Aerosol optical depth @550nm: AER, fine mode AER, coarse mode AOD, (//tier 2:// BC, OA, SO4, NO3, DUST, SS) \\ | ||
- | Total AOD effective in radiative forcing code (OD550AER) and clearsky AOD (od550csaer) | ||
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- | SWTOA-Top of Atm Fluxes clear-sky and all-sky : \\ | ||
- | AER, fine mode AER, coarse mode (//tier 2:// AOD, BC, OA, SO4, NO3, DUST, SS) \\ | ||
- | LWTOA-Fluxes clear-sky and all-sky : AER, fine mode AER, coarse mode \\ | ||
- | CCN Number concentration @ 850 hPa \\ | ||
- | IN Number concentration @ 100 hPa \\ | ||
- | Total Cloud cover \\ | ||
- | Cloud Water Path \\ | ||
- | Low level cloud cover \\ | ||
- | Precipitation rate \\ | ||
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- | One file per variable and year. | ||
- | Variable names: emioa, emibc, ...depbc...swtoacsaer, | ||
- | |||
- | Use latest variable names from AerChemMIP, and units, standard names as given in these tables: | ||
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- | AerChemMIP tables in EXCEL: | ||
- | [[aerocom: | ||
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- | OFFICIAL DATA REQUEST THROUGH CMIP6: | ||
- | [[http:// | ||
- | |||
- | The directory / | ||
- | michael.schulz@met.no and anna.benedictow@met.no) | ||
- | |||
- | If correct in format and with correct filenames, results uploaded here will be processed over night and appear after few days as image catalogue on http:// | ||
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- | Short Recipe (Long version: https:// | ||
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- | 1) Name files according to HTAPII/ | ||
- | aerocom3_< | ||
- | for example \\ | ||
- | aerocom3_GOCART_AP3-CTRL2016_od550aer_Column_2010_monthly.nc | ||
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- | 2) Check for cf compliance some files (http:// | ||
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- | 3a) obtain account on aerocom-users server\\ | ||
- | |||
- | 3) create directory on aerocom-users.met.no server:\\ | ||
- | / | ||
- | Use exactly the same model name as used for file names. Attention to lower& | ||
- | |||
- | 4) Put files directly into this " | ||
- | And send e-mail to jan.griesfeller and michael.schulz and anna.benedictow @met.no | ||
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- | |||
- | ===== AeroCom Control 2015 ===== | ||
- | |||
- | Contact: Michael Schulz (MetNo), michael.schulz@met.no | ||
- | |||
- | Experiment Description and motivation: | ||
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- | The model versions used for the different experiments are often not easily comparable. New model versions should be documented regularly to establish a state of the art comparison yearly. For this purpose AeroCom offers a semi-automatic platform with visualization via the AeroCom webinterface. Evaluation with surface observations and Aeronet observations will complete the documentation of emissions, removal, burden, lifetime of the major aerosol species. | ||
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- | Deadline for model submissions to be anlaysed before the Frascati AeroCom workshop: 15.September, | ||
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- | Experiment name: AP3-CTRL2015 | ||
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- | Output requested (2D fields, Monthly averages, preferably year 2010 meteorology): | ||
- | EMI Emissions: BC, OA, SO2, DMS, NOx, VOC, DUST, SS \\ | ||
- | LOAD Column Loads: BC, OA, SO4, NO3, DUST, SS \\ | ||
- | SCONC Surface concentrations: | ||
- | DEP Total Deposition: BC, OA, SO4, NO3, DUST, SS \\ | ||
- | OD550 Aerosol optical depth @550nm: AER, OA, SO4, NO3, DUST, SS \\ | ||
- | |||
- | The directory / | ||
- | |||
- | If correct in format and with correct filenames, results uploaded here will be processed over night and appear after few days as image catalogue on http:// | ||
- | |||
- | Short Recipe (Long version: https:// | ||
- | |||
- | 1) Name files according to HTAPII/ | ||
- | aerocom3_< | ||
- | for example \\ | ||
- | aerocom3_GOCART_AP3-CTRL2015_od550aer_Column_2010_monthly.nc | ||
- | |||
- | 2) Check for cf compliance some files (http:// | ||
- | |||
- | 3a) obtain account on aerocom-users server\\ | ||
- | 3) create directory on aerocom-users server:\\ | ||
- | / | ||
- | Use exactly the same model name as used for file names. Attention to lower& | ||
- | |||
- | 4) Put files directly into this " | ||
- | |||
- | |||
- | ===== Nitrate comparison ===== | ||
- | |||
- | Contact: Huisheng Bian (GSFC/NASA, JCET/UMBC), Huisheng.Bian@nasa.gov | ||
- | |||
- | Experiment Description {{: | ||
- | |||
- | NH3 Emissions from Geia {{: | ||
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- | File name convention {{: | ||
- | |||
- | Essential nitrate variables {{: | ||
- | |||
- | |||
- | ===== Aerosol Lifetime experiments, | ||
- | |||
- | Model output {{: | ||
- | |||
- | |||
- | ===== Biomass Burning emissions experiments (2014-2019) ===== | ||
- | |||
- | 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& | ||
- | |||
- | **Contact: | ||
- | |||
- | **Status:** Model experiment finished, manuscript is in progress (Petrenko et al.) | ||
- | |||
- | **Model Descriptions** (Questionnaires filled by the groups in 2015): | ||
- | CAM5 (Kai Zhang, Hailong Wang, Xiaohong Liu): {{: | ||
- | CIFS (Johannes Kaiser, Samuel Remy): {{: | ||
- | ECHAM6-SALSA (Tero Mielonen, Tommi Bergman): | ||
- | GEOS-CHEM (Gabriele Curci, Anna Protonotariou): | ||
- | GOCART (Mian Chin, Mariya Petrenko): {{: | ||
- | HadGEM3 (Ben Johnson): {{: | ||
- | OsloCTM2 (Ragnhild Bieltvedt Skeie, Gunnar Myhre) {{: | ||
- | SPRINTARS (Toshihiko Takemura): {{: | ||
- | GISS ModelE (Keren Mezuman, Susanne Bauer, Kostas Tsigaridis): | ||
- | ===== HTAP 2 experiments ===== | ||
- | |||
- | The Unite Nations’ Task Force on Hemispheric Transport of Air Pollution (TF HTAP) is an international scientific cooperative effort to improve the understanding of the intercontinental transport of air pollution across the Northern Hemisphere. TF HTAP was organized in 2005 under the auspices of the UNECE Convention on Long-range Transboundary Air Pollution (LRTAP Convention). The model experiments for HTAP phase 2 have the following objectives: (1) Examine the transport of aerosols, including anthropogenic, | ||
- | A detailed description can be found here: {{: | ||
- | |||
- | Contact: Mian Chin (NASA) mian.chin@nasa.gov; | ||
- | |||
- | Status: Model experiments finished, manuscript will be started soon (Chin et al.) | ||
- | |||
- | HTAP2 experiment description [[http:// |