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aerocom:indirect [2013-10-02 20:42:41]
steve.ghan@pnnl.gov
aerocom:indirect [2015-12-09 13:15:31] (current)
steve.ghan@pnnl.gov
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 ==== Indirect forcing experiment ===== ==== Indirect forcing experiment =====
 +
 +Repository: aerocom-users:/​metno/​aerocom/​work/​aerocom1/​INDIRECT3
  
 ====== ======
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  ​* ​  ​all_2000:​ simulation PD (present-day):​ year 2000 IPCC aerosol emissions \\   ​* ​  ​all_2000:​ simulation PD (present-day):​ year 2000 IPCC aerosol emissions \\ 
  ​* ​  ​all_1850:​ simulation PI (pre-industrial):​ year 1850 IPCC aerosol emissions (year 2000 GHG concentration) ​ \\   ​* ​  ​all_1850:​ simulation PI (pre-industrial):​ year 1850 IPCC aerosol emissions (year 2000 GHG concentration) ​ \\ 
- ​* ​  ​hom_2000:​ present day emissions no heterogeneous nucleation of ice \\ + ​* ​  ​hom_2000:​ present day emissions no heterogeneous nucleation of ice in cirrus clouds with T%%<​%%-37 C\\ 
- ​* ​  ​hom_1850:​ pre-industrial emissions ​no heterogeneous nucleation of ice \\ + ​* ​  ​hom_1850: ​as in hom_2000, but for pre-industrial emissions \\ 
- ​* ​  ​fix_2000:​ present day emissions fixed ice nucleation for T%%<​%%-37 C using Cooper (1986) ​as a f(temperature) ​\\ + ​* ​  ​fix_2000:​ present day emissions fixed ice nucleation for T%%<​%%-37 C using a constant ice number of 383.6 /L, which is from Cooper (1986) ​at T=-37C ​\\ 
- ​* ​  ​fix_1850:​ pre-industrial emissions ​fixed ice nucleation for T%%<%%-37 C using Cooper ​(1986) ​as f(temperature\\+ ​* ​  ​fix_1850: ​as in fix_2000, but for pre-industrial emissions ​ \\ 
 + 
 + 
 +== Motivation == 
 + 
 +The proposed study is designed to address two key areas of uncertainty:​ 1) the sensitivity of cloud liquid water path to aerosol, and 2) the competition between heterogeneous and homogeneous nucleation of ice crystals.  
 + 
 +To address issue 1), we’ve added daily and monthly diagnostics that can be compared with CloudSat and MODIS retrievals of the relationship between the aerosol optical depth and the probability of precipitation (Wang et al., 2012).  
 + 
 +To address issue 2), we’ve added experiments in which heterogeneous ​nucleation ​is neglected ​for T%%<%%-37C, and in which ice nucleation for T%%<​%%-37C is a prescribed function of temperature ​(Cooper, ​1986)
 + 
 +We also have added a requirement to nudge toward analyzed winds, which we’ve found greatly reduces the noise due to natural variability without significantly inhibiting the cloud response to the aerosol. ​(Kooperman et al., 2012). Simulations of six years duration each should be sufficient for all experiments.  
 + 
 +To facilitate analysis and comparison before the 2013 AeroCom meeting, the results should be submitted to the AeroCom repository by December 1, 2013. Please contact steve.ghan@pnnl.gov and xiaohong.liu@pnnl.gov when your results have been submitted. 
 + 
 + 
 +Cooper, W. A.: Ice initiation in natural clouds. precipitation enhancement – a scientific challenge, Meteor. Mon., 43, 29–32, 1986. 
 + 
 +Kooperman, G. J., M. S. Pritchard, S. J. Ghan, R. C. J. Sommerville,​ and L. M. Russell, 2012: Constraining the influence of natural variability to improve estimates of global aerosol indirect effects in a nudged version of the Community Atmosphere Model 5. J. Geophys. Res., 117, doi:​10.1029/​2012JD018588.
  
 +Wang, M., S. Ghan, X. Liu, T. L’Ecuyer, K. Zhang, H. Morrison, M. Ovchinnikov,​ R. Easter, R. Marchand, D. Chand, Y. Qian, and J. E. Penner, 2012: Strong constraints on cloud lifetime effects of aerosol using satellite observations. Geophys. Res. Lett., 39, 15, doi:​10.1029/​2012GL052204.
  
     ​     ​
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     <​ExperimentName>​ = all_2000, all_1850, hom_2000, hom_1850, fix_2000, or fix_1850 ​     <​ExperimentName>​ = all_2000, all_1850, hom_2000, hom_1850, fix_2000, or fix_1850 ​
     <​VariableName>​ see list below      <​VariableName>​ see list below 
-    <​VerticalCoordinateType>​ => "​Surface",​ "​Column",​ "​ModelLevel" ​+    <​VerticalCoordinateType>​ => "​Surface", "TOA", "​Column",​ "​ModelLevel" ​
     <​Period>​ => "​2008",​ "​2010",​ ...  ​     <​Period>​ => "​2008",​ "​2010",​ ...  ​
     <​Frequency>​ => "​timeinvariant","​hourly",​ ,"​3hourly",​ "​daily",​ "​monthly" ​     <​Frequency>​ => "​timeinvariant","​hourly",​ ,"​3hourly",​ "​daily",​ "​monthly" ​
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 (1) 2D diagnostics for evaluation with satellite data (1) 2D diagnostics for evaluation with satellite data
  
-5 years (years 2006-2010) of 3-hourly data from the PD run+5 years (years 2006-2010) of 3-hourly ​instantaneous ​data from the PD run
 ====== ======
 ^ name ^ long_name (CF if possible) ^ units ^ description ^ ^ name ^ long_name (CF if possible) ^ units ^ description ^
-| od550aer ​ | atmosphere_optical_thickness_due_to_aerosol | 1 | Aerosol optical depth (@ 550 nm) | +| od550aer ​ | atmosphere_optical_thickness_due_to_aerosol | 1 | Aerosol optical depth (@ 550 nm) | 
-| angstrm |  AOD_Angstrom_exponent | 1 | | +| angstrm | AOD_Angstrom_exponent | 1 | | 
-| aerindex |aerosol_index ​ | 1  |  AOD*angstrm +| aerindex |aerosol_index ​ | 1  | od550aer*angstrm ​| 
-| cdr | liquid_cloud-top_droplet_effective_radius | m  | Grid cell mean droplet effective radius at top of liquid water clouds | +| cdr | liquid_cloud-top_droplet_effective_radius | m  | Grid cell mean droplet effective radius at top of liquid water clouds | 
-| cdnc | liquid_cloud_droplet_number_concentration | m-3 | Grid cell mean droplet number concentration in top layer of liquid water clouds | +| cdnc | liquid_cloud_droplet_number_concentration | m-3 | Grid cell mean droplet number concentration in top layer of liquid water clouds | 
-| cdnum  | column_cloud_droplet_number_concentration ​   |   ​m-2  |   ​grid cell mean column total | +| cdnum  | column_cloud_droplet_number_concentration ​   | m-2  | grid cell mean column total | 
-| icnum  | column_ice_crystal_number_concentration ​   |   ​m-2  |   ​grid cell mean column total | +| icnum  | column_ice_crystal_number_concentration ​   | m-2  | grid cell mean column total | 
-| clt | cloud_area_fraction | 1 | Fractional cover by all clouds | +| clt | cloud_area_fraction | 1 | Fractional cover by all clouds | 
-| lcc | liquid_cloud_area_fraction ​ | 1 | Fractional cover by liquid water clouds | +| lcc | liquid_cloud_area_fraction ​ | 1 | Fractional cover by liquid water clouds | 
-| lwp | atmosphere_cloud_ice_content ​| kg m-2 | grid cell mean liquid water path for liquid water clouds | +| lwp | atmosphere_cloud_liquid_path ​| kg m-2 | grid cell mean liquid water path for liquid water clouds | 
-| iwp  | atmosphere_cloud_ice_content ​| kg m-2 |  grid cell mean ice water path for ice clouds | +| iwp | atmosphere_cloud_ice_path ​| kg m-2 | grid cell mean ice water path for ice clouds | 
-| icr | cloud-top_ice_crystal_effective_radius |  m | grid cell mean effective radius of crystals at top of ice clouds | +| icr | cloud-top_ice_crystal_effective_radius | m | grid cell mean effective radius of crystals at top of ice clouds | 
-| icc | ice_cloud_area_fraction | 1  | Fractional cover by ice clouds | +| icc | ice_cloud_area_fraction | 1  | Fractional cover by ice clouds | 
-| cod | cloud_optical_depth | 1 | Grid cell mean cloud optical depth | +| cod | cloud_optical_depth | 1 | Grid cell mean cloud optical depth | 
-| codliq | cloud_optical_depth_due_to_liquid | 1 | Grid cell mean cloud optical depth | +| codliq | cloud_optical_depth_due_to_liquid | 1 | Grid cell mean cloud optical depth | 
-| codice | cloud_optical_depth_due_to_ice | 1 | Grid cell mean cloud optical depth | +| codice | cloud_optical_depth_due_to_ice | 1 | Grid cell mean cloud optical depth | 
-| ccn0.1bl | cloud_condensation_nuclei_0.1_pbl | m-3 | grid-cell mean CCN number concentration at S=0.1% at 1 km above the surface, regardless of cloud +| ccn0.1bl | cloud_condensation_nuclei_0.1_pbl | m-3 | CCN number concentration at S=0.1% at 1 km above the surface | 
-| ccn0.3bl | cloud_condensation_nuclei_0.3_pbl | m-3 | grid-cell mean CCN number concentration at S=0.3% at 1 km above the surface, regardless of cloud +| ccn0.3bl | cloud_condensation_nuclei_0.3_pbl | m-3 | CCN number concentration at S=0.3% at 1 km above the surface | 
-| colccn.1 | column_cloud_condensation_nuclei_0.1 | m-2 | grid-cell mean column-integrated CCN number concentration at S=0.1% ​ | +| colccn.1 | column_cloud_condensation_nuclei_0.1 | m-2 | column-integrated CCN number concentration at S=0.1% ​ | 
-| colccn.3 | column_cloud_condensation_nuclei_0.3 | m-2 | grid-cell mean column-integrated CCN number concentration at S=0.3% ​ | +| colccn.3 | column_cloud_condensation_nuclei_0.3 | m-2 | column-integrated CCN number concentration at S=0.3% ​ | 
-| rsut | toa_upward_shortwave_flux | W m-2 | TOA upward SW flux, all-sky | +| rsut | toa_upward_shortwave_flux | W m-2 | TOA upward SW flux, all-sky | 
-| rsutcs | toa_upward_shortwave_flux_assuming_clear_sky | W m-2 | TOA upward SW flux, clear-sky | +| rsutcs | toa_upward_shortwave_flux_assuming_clear_sky | W m-2 | TOA upward SW flux, clear-sky | 
-| rsutnoa | toa_upward_shortwave_flux_no_aerosol | W m-2 | TOA upward SW flux, all-sky, aerosol removed from calculation | +| rsutnoa | toa_upward_shortwave_flux_no_aerosol | W m-2 | TOA upward SW flux, all-sky, aerosol removed from calculation | 
-| rsutcsnoa | toa_upward_shortwave_flux_clear_sky_no_aerosol |W m-2 | TOA upward SW flux, clear-sky, aerosol removed from calculation | +| rsutcsnoa | toa_upward_shortwave_flux_clear_sky_no_aerosol |W m-2 | TOA upward SW flux, clear-sky, aerosol removed from calculation | 
-| rlut | toa_upward_longwave_flux | W m-2 | TOA upward LW flux, all-sky | +| rlut | toa_upward_longwave_flux | W m-2 | TOA upward LW flux, all-sky | 
-| rlutcs | toa_upward_longwave_flux_assuming_clear_sky | W m-2 | TOA upward LW flux, clear-sky | +| rlutcs | toa_upward_longwave_flux_assuming_clear_sky | W m-2 | TOA upward LW flux, clear-sky | 
-| hfls | surface_upward_latent_heat_flux | W m-2 | Surface latent heat flux | +| hfls | surface_upward_latent_heat_flux | W m-2 | Surface latent heat flux | 
-| hfss | surface_upward_sensible_heat_flux ​ | W m-2 | Surface sensible heat flux | +| hfss | surface_upward_sensible_heat_flux ​ | W m-2 | Surface sensible heat flux | 
-| rls | surface_net_downward_longwave_flux_in_air | W m-2 | Net surface LW downward flux | +| rls | surface_net_downward_longwave_flux_in_air | W m-2 | Net surface LW downward flux | 
-| rss | surface_net_downward_shortwave_flux | W m-2 | Net surface SW downward flux | +| rss | surface_net_downward_shortwave_flux | W m-2 | Net surface SW downward flux | 
-| rsds | surface_downwelling_shortwave_flux_in_air | W m-2 | Surface SW downward flux (in order to estimate the model'​s '​true'​ surface albedo) | +| rsds | surface_downwelling_shortwave_flux_in_air | W m-2 | Surface SW downward flux (to estimate the model'​s '​true'​ surface albedo) | 
-| ttop | air_temperature_at_cloud_top | K | Temperature at top of clouds, weighted by cloud cover | +| ttop | air_temperature_at_cloud_top | K | Temperature at top of clouds, weighted by cloud cover | 
-| lts | lower_tropospheric_stability | K | Difference in potential temperature between 700 hPa and 1000 hPa | +| lts | lower_tropospheric_stability | K | Difference in potential temperature between 700 hPa and 1000 hPa | 
-| w500  |  vertical_velocity_dpdt_at_500_hPa | hPa s-1 | | +| w500  | vertical_velocity_dpdt_at_500_hPa | hPa s-1 | | 
-| sprecip | stratiform_precipitation_rate |kg m-2 s-1 | grid cell mean at surface | +| sprecip | stratiform_precipitation_rate | kg m-2 s-1 | grid cell mean at surface | 
-| autoconv | column_autoconversion_rate | kg m-2 s-1 | grid cell mean column total | +| autoconv | column_autoconversion_rate | kg m-2 s-1 | grid cell mean column total | 
-| accretn | column_accretion_rate | kg m-2 s-1 | grid cell mean column total |+| accretn | column_accretion_rate | kg m-2 s-1 | grid cell mean column total |
  
 ===== =====
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 ^ name ^ long_name (CF if possible) ^ units ^ description ^ ^ name ^ long_name (CF if possible) ^ units ^ description ^
-| t | temperature | K | each layer |  +| t | temperature | K | each layer |  
-| hus | specific_humidity | kg/kg | each layer |  +| hus | specific_humidity | kg/kg | each layer |  
-| z | altitude ​         | m       | each layer |  +| z | altitude ​         | m       | each layer |  
-| airmass | atmosphere_mass_content_of_air ​   |  kg m-2   ​| ​ each layer  | +| airmass | atmosphere_mass_content_of_air ​   | kg m-2   | each layer  | 
-| ccn0.1 | cloud_condensation_nuclei_0.1 | m-3 | ​grid cell mean each layer (S=0.1%) | +| ccn0.1 | cloud_condensation_nuclei_0.1 | m-3 | each layer (S=0.1%) | 
-| ccn0.3 | cloud_condensation_nuclei_0.3 | m-3 | ​grid cell mean each layer (S=0.3%) | +| ccn0.3 | cloud_condensation_nuclei_0.3 | m-3 | each layer (S=0.3%) | 
-| nc | liquid_cloud_droplet_number_concentration | m-3 | grid cell mean each layer | +| nc | liquid_cloud_droplet_number_concentration | m-3 | grid cell mean each layer | 
-| lwc| cloud_liquid_water_content | kg m-3 | grid cell mean each layer | +| lwc| cloud_liquid_water_content | kg m-3 | grid cell mean each layer | 
-| rel | droplet_effective_radius ​ | m| grid cell mean each layer | +| rel | droplet_effective_radius ​ | m| grid cell mean each layer | 
-| lccl | liquid_cloud_fraction | 1 | Fractional cover by liquid water clouds each layer | +| lccl | liquid_cloud_fraction | 1 | Fractional cover by liquid water clouds each layer | 
-| wsubc | subgrid_vertical_velocity_for_stratiform ​| wsubc ​| m s-1 |  +| wsubc | subgrid_vertical_velocity_for_stratiform | m s-1 |  
-| autocl ​ | autoconversion_rate | kg m-2 s-1 | layer total in grid cell | +| autocl ​ | autoconversion_rate | kg m-2 s-1 | layer total in grid cell | 
-| accretl ​ | accretion_rate | kg m-2 s-1 | layer total in grid cell | +| accretl ​ | accretion_rate | kg m-2 s-1 | layer total in grid cell | 
-| ni | ice_cloud_crystal_number_concentration | m-3 | grid cell mean each layer | +| ni | ice_cloud_crystal_number_concentration | m-3 | grid cell mean each layer | 
-| iwc | cloud_ice_water_content | kg m-3 | grid cell mean each layer | +| iwc | cloud_ice_water_content | kg m-3 | grid cell mean each layer | 
-| rei | Ice_effective_radius | m | grid cell mean each layer | +| rei | Ice_effective_radius | m | grid cell mean each layer | 
-| iccl  | ice_cloud_fraction | 1 | Fractional cover by ice water clouds each layer | +| iccl  | ice_cloud_fraction | 1 | Fractional cover by ice water clouds each layer | 
-| sati  | ice_supersaturation | 1 | Supersaturation with respect to ice | +| sati  | ice_supersaturation | 1 | Supersaturation with respect to ice | 
-| wsubi  | subgrid_vertical_velocity_for_cirrus | m s-1 | ​ | +| wsubi  | subgrid_vertical_velocity_for_cirrus | m s-1 | ​ | 
-| cirrus_nso4 ​ | sulfate_aerosol_number_for_homogeneous | m-3 | grid cell mean sulfate aerosol number used for homogeneous aerosol freezing ​for T<​-37C ​+| mmrdu | mass_fraction_of_dust_dry_aerosol_in_air | kg/kg | each layer  | 
-| cirrus_ndust ​ | dust_aerosol_number_for_heterogeneous | m-3 | grid cell mean dust aerosol number used for heterogeneous aerosol freezing ​for T<​-37C ​+| mmrbc | mass_fraction_of_black_carbon_dry_aerosol_in_air | kg/kg |each layer  | 
-| cirrus_nbc ​ | BC_aerosol_number_for_heterogeneous | m-3 | grid cell mean BC aerosol number used for heterogeneous aerosol freezing ​for T<​-37C ​+| mmrso4 | mass_fraction_of_sulfate_dry_aerosol_in_air | kg/kg | each layer  | 
-| cirrus_nihom ​ | homogeneous_nucleation_number | m-3 | grid cell mean ice crystal number production from homogeneous aerosol freezing for T<-37C during one model time step | +| cirrus_nso4 ​ | sulfate_aerosol_number_for_homogeneous | m-3 | grid cell mean sulfate aerosol number used for homogeneous aerosol freezing ​even if ice not nucleated
-| cirrus_nihet ​ | heterogeneous_nucleation_number | m-3 | grid cell mean ice crystal number production from heterogeneous aerosol freezing for T<-37C during one model time step | +| cirrus_ndust ​ | dust_aerosol_number_for_heterogeneous | m-3 | grid cell mean dust aerosol number used for heterogeneous aerosol freezing ​even if ice not nucleated ​
-| cirrus_freqhom | homogeneous_nucleation_frequency | 1 | frequency counter of homogeneous aerosol freezing for T<-37C. For each time step, freqhom = 1 if homogeneous ice nucleation happens; otherwise freqhom = 0. Monthly average of this value indicates the homogeneous nucleation frequency. | +| cirrus_nbc ​ | BC_aerosol_number_for_heterogeneous | m-3 | grid cell mean BC aerosol number used for heterogeneous aerosol freezing ​even if ice not nucleated ​
-| cirrus_freqhet ​ | heterogeneous_nucleation_frequency | 1 | frequency counter of heterogeneous aerosol freezing for T<-37C. At each model time step, set freqhom = 1 if heterogeneous ice nucleation happens; otherwise freqhom = 0. Monthly average of this value indicates the heterogeneous nucleation frequency. | +| cirrus_nihom ​ | homogeneous_nucleation_number | m-3 | grid cell mean ice crystal number production from homogeneous aerosol freezing for T%%<%%-37C during one model time step | 
-| mp_hetnuc ​ | droplet_freezing_rate_by_heterogeneous | m-3 s-1 | grid cell mean freezing rate of cloud droplets in mixed-phase clouds for T>-37C | +| cirrus_nihet ​ | heterogeneous_nucleation_number | m-3 | grid cell mean ice crystal number production from heterogeneous aerosol freezing for T%%<%%-37C during one model time step | 
-| mp_homnuc ​ | droplet_freezing_rate_by_homogeneous | m-3 s-1 | grid cell mean instantaneous freezing rate of cloud droplets for T<=-37C |+| cirrus_freqhom | homogeneous_nucleation_frequency | 1 | frequency counter of homogeneous aerosol freezing for T%%<%%-37C. For each time step, freqhom = 1 if homogeneous ice nucleation happens; otherwise freqhom = 0. Monthly average of this value indicates the homogeneous nucleation frequency. | 
 +| cirrus_freqhet ​ | heterogeneous_nucleation_frequency | 1 | frequency counter of heterogeneous aerosol freezing for T%%<%%-37C. At each model time step, set freqhom = 1 if heterogeneous ice nucleation happens; otherwise freqhom = 0. Monthly average of this value indicates the heterogeneous nucleation frequency. | 
 +| mp_hetnuc ​ | droplet_freezing_rate_by_heterogeneous | m-3 s-1 | grid cell mean freezing rate of cloud droplets in mixed-phase clouds for T>-37C | 
 +| mp_homnuc ​ | droplet_freezing_rate_by_homogeneous | m-3 s-1 | grid cell mean instantaneous freezing rate of cloud droplets for T<=-37C |
 ===== =====
  
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 ^ name ^ long_name (CF if possible) ^ units ^ description ^ comment ^ notes ^ ^ name ^ long_name (CF if possible) ^ units ^ description ^ comment ^ notes ^
 | clwmodis | modis_liquid_cloud_fraction | 1 | Column fractional cover by liquid water clouds ​ | from modis simulator | | clwmodis | modis_liquid_cloud_fraction | 1 | Column fractional cover by liquid water clouds ​ | from modis simulator |
-| reffclwmodis | modis_droplet_effective_radius*clwmodis ​ | m | grid cell mean  | from modis simulator |+| reffclwmodis | modis_droplet_effective_radius*clwmodis ​ | m | grid cell mean  | from modis simulator |
 | climodis ​ | modis_ice_cloud_fraction |1 | Column fractional cover by ice water clouds ​ |from modis simulator | ​ | | climodis ​ | modis_ice_cloud_fraction |1 | Column fractional cover by ice water clouds ​ |from modis simulator | ​ |
-| reffclimodis | modis_ice_effective_radius*climodis | m | grid cell mean  | from modis simulator |+| reffclimodis | modis_ice_effective_radius*climodis | m | grid cell mean  | from modis simulator |
 | tauwmodis | modis_liquid_cloud_optical_thickness*clwmodis | 1 | grid cell mean | from modis simulator | | tauwmodis | modis_liquid_cloud_optical_thickness*clwmodis | 1 | grid cell mean | from modis simulator |
 | tauimodis | modis_ice_cloud_optical_thickness*climodis | 1 | grid cell mean | from modis simulator | | tauimodis | modis_ice_cloud_optical_thickness*climodis | 1 | grid cell mean | from modis simulator |
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 ^ name ^ long_name (CF if possible) ^ units ^ description ^ comment ^ notes ^ ^ name ^ long_name (CF if possible) ^ units ^ description ^ comment ^ notes ^
-| t | temperature | K | ​ each layer |  +| t | temperature | K | each layer |  
-| z | altitude ​         | m       | each layer |  +| z | altitude ​         | m       | each layer |  
-| pressure | atmospheric_pressure ​         | Pa  |  each layer | +| pressure | atmospheric_pressure ​         | Pa  | each layer | 
-| airmass | atmosphere_mass_content_of_air ​   |  kg m-2   ​| ​ each layer  | +| airmass | atmosphere_mass_content_of_air ​   | kg m-2   | each layer  | 
-| ccn0.1 | cloud_condensation_nuclei_0.1 | m-3 | ​grid cell mean each layer (S=0.1%) | +| ccn0.1 | cloud_condensation_nuclei_0.1 | m-3 | each layer (S=0.1%) | 
-| ccn0.3 | cloud_condensation_nuclei_0.3 | m-3 | ​grid cell mean each layer (S=0.3%) | +| ccn0.3 | cloud_condensation_nuclei_0.3 | m-3 | each layer (S=0.3%) | 
-| nc | liquid_cloud_droplet_number_concentration | m-3 | grid cell mean each layer | +| nc | liquid_cloud_droplet_number_concentration | m-3 | grid cell mean each layer | 
-| lwc| cloud_liquid_water_content | kg m-3 | grid cell mean each layer | +| lwc| cloud_liquid_water_content | kg m-3 | grid cell mean each layer stratiform cld only|  ​
-| rel | droplet_effective_radius | m | grid cell mean each layer  | +| rel | droplet_effective_radius | m | grid cell mean each layer stratiform cld only  |  | 
-| lccl | layer_liquid_cloud_fraction | 1 | Fractional cover by liquid water clouds each layer | +| lccl | layer_liquid_cloud_fraction | 1 | Fractional cover by liquid water stratiform ​clouds each layer | 
-| ni | ice_cloud_crystal_number_concentration | m-3 | grid cell mean each layer | +| ni | ice_cloud_crystal_number_concentration | m-3 | grid cell mean each layer | 
-| iwc | cloud_ice_water_content | kg m-3 | grid cell mean each layer | +| iwc | cloud_ice_water_content | kg m-3 | grid cell mean each layer stratiform cld only
-| rei | ice_effective_radius | m | grid cell mean each layer |       | | +| rei | ice_effective_radius | m | grid cell mean each layer stratiform cld only       | | 
-| iccl   | layer_ice_cloud_fraction ​ | 1 | Fractional cover by ice water clouds each layer | |  | +| iccl   | layer_ice_cloud_fraction ​ | 1 | Fractional cover by ice water stratiform ​clouds each layer | |  | 
-| dbze94 ​ | 94GHz_radar_reflectivity_subcolumn | dBZe  | Radar reflectivity each model layer in 70 subcolumns ​  | +| dbze94 ​ | 94GHz_radar_reflectivity_subcolumn | dBZe  | Radar reflectivity each model layer in 100 subcolumns ​  | 
-| fracout | fracout_cloud_flag_subcolumn | 1 | subcolumn cloud flag each model layer in 70 subcolumns 0 clear, 1 strat 2 conv | +| fracout | fracout_cloud_flag_subcolumn | 1 | subcolumn cloud flag each model layer in 100 subcolumns 0 clear, 1 strat 2 conv | 
-| clcalipso | cloud_area_fraction_in_atmosphere_layer | % | CALIPSO Cloud Area Fraction | | at 40 height levels |+| clcalipso | cloud_area_fraction_in_atmosphere_layer | % | CALIPSO Cloud Area Fraction |  | at 40 height levels |
 | clcalipso2 ​  | cloud_area_fraction_in_atmosphere_layer | % | CALIPSO Cloud Fraction Undetected by CloudSat | Clouds detected by CALIPSO but below the detectability threshold of CloudSat | at 40 height levels | | clcalipso2 ​  | cloud_area_fraction_in_atmosphere_layer | % | CALIPSO Cloud Fraction Undetected by CloudSat | Clouds detected by CALIPSO but below the detectability threshold of CloudSat | at 40 height levels |
 | cfadDbze94 | histogram_of_equivalent_reflectivity_factor_over_height_above_reference_ellipsoid | 1 | CloudSat Radar Reflectivity CFAD | CFADs (Cloud Frequency Altitude Diagrams) are joint height - radar reflectivity ​ distributions. | 40 levels x 15 bins | | cfadDbze94 | histogram_of_equivalent_reflectivity_factor_over_height_above_reference_ellipsoid | 1 | CloudSat Radar Reflectivity CFAD | CFADs (Cloud Frequency Altitude Diagrams) are joint height - radar reflectivity ​ distributions. | 40 levels x 15 bins |
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 The idea is to use the cloud overlap assumption (maximum, random, or maximum-random) to estimate which part of the cloud in a  \\ layer can be seen from above. The idea is to use the cloud overlap assumption (maximum, random, or maximum-random) to estimate which part of the cloud in a  \\ layer can be seen from above.
  
-Note: For the CCN, whether to sample it in the same way as CDNC, or use a similar ​apporach ​(going from bottom up)  \\  ​+Note: For the CCN, whether to sample it in the same way as CDNC, or use a similar ​approach ​(going from bottom up)  \\  ​
 to sample it at cloud base depends on your parameterization of the activation. to sample it at cloud base depends on your parameterization of the activation.
  
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     f3d(nx,nz) cloud fraction     f3d(nx,nz) cloud fraction
     t3d(nx,nz) temperature     t3d(nx,nz) temperature
-    phase3d(nx,​nz) cloud thermodynamic phase (0: entire cloud consists of ice, 1: entire cloud consists of liquid water, between 0 and 1: mixed-phase) +    phase3d(nx,​nz) cloud thermodynamic phase (0: entire cloud consists of ice,  
-    cdr3d(nx,​nz) cloud droplet effective radius +    ​1: entire cloud consists of liquid water, between 0 and 1: mixed-phase) 
-    icr3d(nx,​nz) ice crystal effective radius +    phase3d could be from fice3d/f3d where fice3d=ice+mixed phase cloud fraction 
-    cdnc3d(nx,​nz) cloud droplet number concentration ​+    cdr3d(nx,​nz) ​in-cloud  droplet effective radius 
 +    icr3d(nx,​nz) ​in-cloud ​ice crystal effective radius 
 +    cdnc3d(nx,​nz) ​in-cloud droplet number concentration ​
  
 thres_cld = 0.001 \\  thres_cld = 0.001 \\ 
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  ==== Q/A ====  ==== Q/A ====
  
- ​* ​   2D cloud fields (lwp, iwp, cdr, cdnc, cod): Please ​compute ​them from grid-box mean values ​at each level but DO NOT divide by the total (2D) cloud cover, which will be done in analysis after averaging in time and space. ​+ ​* ​   2D cloud fields (lwp, iwp, cdr, cdnc, ttop, cod): Please ​save them as grid-box mean values but DO NOT divide by the total (2D) cloud cover, which will be done in analysis after averaging in time and space. ​
                    
  ​* ​   The three months 1 October - 31 December 2005  are thought as spin-up, which can of course be longer. Please choose as overlap assumption the one you use in the radiation scheme.  ​  ​* ​   The three months 1 October - 31 December 2005  are thought as spin-up, which can of course be longer. Please choose as overlap assumption the one you use in the radiation scheme.  ​
aerocom/indirect.1380746561.txt.gz · Last modified: 2013-10-02 20:42:41 by steve.ghan@pnnl.gov