the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
| 22 Nov 2022
Importance of Ice Nucleation and Precipitation on Climate with the Parameterization of Unified Microphysics Across Scales version 1 (PUMASv1)
Hugh Morrison
Trude Eidhammer
Katherine Thayer-Calder
Jian Sun
Richard Forbes
Zachary McGraw
Jiang Zhu
Trude Storelvmo
John Dennis
Abstract. Cloud microphysics is critical for weather and climate prediction. In this work, we document updates and corrections to the cloud microphysical scheme used in the Community Earth System Model (CESM) and other models. These updates include a new nomenclature for the scheme, and the ability to run the scheme on Graphics Processing Units (GPUs). The main science changes include removing an ice number limiter and associated changes to ice nucleation, adding vapor deposition onto snow, and introducing an implicit numerical treatment for sedimentation. We also detail the improvements in computational performance that can be achieved with GPU acceleration. We then show the impact of these scheme changes on (A) mean state climate, (B) cloud feedback response to warming and (C) aerosol forcing. We find that corrections are needed to the immersion freezing parameterization without a limit on ice number. We also find that the revised scheme produces less liquid and ice, but that this can be adjusted by changing the loss process for cloud liquid (autoconversion). Furthermore, there are few discernible effects of the PUMAS changes on cloud feedbacks, but some significant reductions in the magnitude of Aerosol Cloud Interactions (ACI). Small cloud feedback changes appear to be related to the implicit sedimentation scheme, with a number of factors affecting ACI.
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The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.
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Preprint
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The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.
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Journal article(s) based on this preprint
Andrew Gettelman et al.
Interactive discussion
Status: closed
-
CEC1: 'Comment on egusphere-2022-980', Juan Antonio Añel, 12 Dec 2022
Dear authors,
Unfortunately, after checking your manuscript, it has come to our attention that it does not comply with our "Code and Data Policy".
https://www.geoscientific-model-development.net/policies/code_and_data_policy.html
You have archived your code on GitHub. However, GitHub is not a suitable repository. GitHub itself instructs authors to use other alternatives for long-term archival and publishing, such as Zenodo (Indeed, it provides an automatic way to move GitHub repositories to Zenodo). Therefore, please, publish your code in one of the appropriate repositories listed in our policy, and reply to this comment with the relevant information (link and DOI) as soon as possible, as it should be available for the Discussions stage.Juan A. Añel
Geosci. Model Dev. Exec. EditorCitation: https://doi.org/10.5194/egusphere-2022-980-CEC1 -
AC1: 'Reply on CEC1', Andrew Gettelman, 14 Dec 2022
Done:
The github repo code used in this manuscript has been released and tagged with a DOI for zenodo
doi:10.5281/zenodo.7435352
This will be added to the manuscript as needed in the next version and can be referenced in the discussion if necessary.
Citation: https://doi.org/10.5194/egusphere-2022-980-AC1
-
AC1: 'Reply on CEC1', Andrew Gettelman, 14 Dec 2022
-
RC1: 'Comment on egusphere-2022-980', Anonymous Referee #1, 23 Dec 2022
This manuscript describes a major development step on the cloud microphysical scheme of the CESM model, including modifications to enable GPU usage with the code. A detailed analysis is performed to test the impact of various changes on the simulations results, including a promising performance test, which demonstrates the potential of GPU usage to improve the speed of high resolution simulations. The code (made available by the authors via github/zenodo) is well structured and properly documented.
The paper fits very well to the scope of GMD and it deserves publications. However, the presentation quality could be improved by addressing the suggestions given below.
- L21-22: “This frequency bias has been shown to be directly attributable to cloud microphysics (Gettelman et al., 2021).” Is this a general issue in global modelling or specific to this model? In the cited paper there is no reference to precipitation biases, is this the correct citation?
- L35: here I would specify that you are referring to the M3 scheme (although this becomes clear later).
- L110: I understand that the upper limit at 100 cm-3 is a free parameter, but could you provide a reason for this choice? Is it supported by observations?
- L224: You may also cite Zelinka et al. (GRL, 2020).
- L227-L229: Please be more specific on the boundary conditions. What do you mean with averaged GHG and SST? Is this a climatology over a certain period? Are the aerosol emissions 1995-2005 also a climatology or are they applied in a transient manner?
- L238: “especially GHGs and SSTs are the same”, this is confusing, since SSTs are increased in the SST4K simulations.
- Sect. 4.1: I think this subsection belongs to “Methodology” rather than “Results”.
- L255: changes #1, #6 and #7 are not mentioned here, but are referred to later.
- L264: does this refer to a radius or a diameter? Please specify.
- L270: “high altitude”, I guess this means p < 600 hPa. Please specify.
- L271: here and in the following, I would suggest writing the line color and dash in bracket every time you refer to a process, to facilitate following your explanations on the respective figures, e.g. “accretion of liquid onto snow (dashed-dotted blue line)…”, etc.
- Table1: it could be helpful adding a Table at the end of section 2, where the processes are briefly summarized, using the same numbering (#1, #2) used here.
- L275-276: “and hence an increase in the melting source of liquid”. Is this the dashed-dotted black line in Fig. 3D-F? Because that does not show an increase.
- L284-285: “by plotting some of the changes separately (not shown)”. You may consider adding these plots to a Supplement, for the interested readers.
- Fig. 3: the legend is very hard to read, you may consider moving it outside the plot (e.g. on the right part of the figure) and write the processes explicitly instead of using abbreviations, since these are not always clear.
- Fig. 4: please add some horizontal space between the panels, since the label on the x-axis are sometimes overlapping. As for Fig. 3, I would move the legend to the bottom of the figure and enlarge it a bit (e.g., use 3 columns instead of 2). The thicker lines indicating longer timesteps are hard to distinguish, an alternative could be using a lighter color (e.g., blue vs. light blue).
- L307-308: Why is the MPACE case less sensitive to time-step than ARM97?
- L318: you could add that the ice modifications in PUMAS help to reduce the bias w.r.t. EBAF in SW but not in LW.
- Fig. 6A, 6C: could you please comment on the very large bias over the south polar regions? Is that due to the satellite data being less reliable at high latitudes?
- Fig. 6: please add a reference for the EBAF dataset. As far as I know, EBAF does not include LWP: which observations are shown for LWP in 6A? Please specify, and if this is not EBAF please correct the legend. Why not including observations also for IWP (6B) and precipitation (6F)? At least for the latter, this should be easy to find (e.g., GPCP, Adler et al. (2018), https://doi.org/10.3390/atmos9040138).
- Table 3: if possible, it would be interesting to see some values from other models (e.g., the CMIP6 multi-model mean). You could also mention that the total aerosol effect (RESTOM) lies at the lower end of the current estimates (e.g., Bellouin et al. 2020 gives -2.0 to -0.4 W m-2 with 90% likelihood).
Minor suggestions:
- Author list: the affiliation #2 comes after #3, #4 and #5. Please rearrange.
- L4: the “removing” of the limiter is actually a refactoring, as explained later (L81). Please correct for consistency.
- L5: I would write “ice sedimentation” explicitly.
- L10: acronym PUMAS not yet defined.
- L14: I would add the definition of supercooled liquid water here.
- L76: “ontributing” -> “contributing”.
- L92: “ice nuclei”, the recent literature seems to favour the term “ice nucleating particles”. You may consider changing this here and throughout the paper (or use the acronym INPs).
- L115: “removed” -> “refactored” (see also comment above).
- L145: 1.e-10 -> 10-10.
- L222: “such as anthropogenic greenhouse gases” -> “such as the increase in anthropogenic greenhouse gases”.
- L233: “large” -> “larger”.
- L268: “control” -> “Control”, for consistency with the naming in Table 1 (this occurs also later).
- L303: “cloud and supercooled liquid, as well as cloud ice” -> “cloud (5A) and supercooled (5B) liquid, as well as cloud ice (5C)”.
- L389, 394, 399 “removal” -> “refactoring” (see also comment above).
Citation: https://doi.org/10.5194/egusphere-2022-980-RC1 -
AC2: 'Replies to Reviewers', Andrew Gettelman, 02 Feb 2023
We thank the reviewers for their time and the detailed notes. We have made all of the changes suggested and corrected and clarified as suggested in the attached supplement.
As noted therein, we did find one error in our formulation of the use of the Bigg immersion freezing limiter, so this was corrected and the treatment of immersion freezing revised. Instead of shutting off the CNT scheme for immersion freezing, we adopt an approach where we limit the fraction of dust aerosols acting as immersion INP, following what is already used in the ice nucleation code for soot. In addition, we use a more consistent treatment of aerosol number for ice nucleation, as noted in the revised text. This has been described now in the text, and all the figures updated with new simulations. The conclusions of the paper are not changed, and this is still a minor update to the previous version. New simulations have been run, and updated code and a new archive has been provided (updated doi).
-
RC2: 'Review of Gettelman et al.', Anonymous Referee #2, 03 Jan 2023
In this study, the authors document scientific and technical updates to cloud parameterizations (and especially ice and mixed-phase clouds) of the CESM climate model. They then assess the impact of those updates on simulated climate, cloud feedback, and aerosol radiative forcing. They find that some updates (removal of an upper limit on ice crystal number and revising to hydrometeor sedimentation) have sizeable impacts on those quantities, which should however be tunable.
The manuscript is well written, very clearly organized. Figures and Tables illustrate the discussion well. The conclusion section is especially efficient at conveying the key messages of the study. The paper is a useful documentation of the PUMAS configuration of CESM, as well as a useful reminder of the power of the detail of physical parameterization at affecting large-scale climate and climate response. The discussion requires clarifications in places, as given in my comments below, but these should only amount to minor revisions.
Comments:
- Line 81: I was at first confused by the apparent conflict between “removing an ice number limiter” in the abstract, and “refactoring of the ice number limiter” on this line. Section 2.2.1 clarifies that one number limiter (NIMAX) has been replaced by another (cap at 100 cm−3). It could be worth clarifying throughout.
- Line 90: On that point, why has NIMAX been removed, instead of updating its calculations (which was incomplete) by adding NICNT and fixing NIMEY? Is that related to the issue discussed in section 2.2.2? How different is NIMAX compared to the new cap value of 100 cm−3?
- Lines 120-122: To clarify, has reverting back to Biggs 1953 removed all aerosol-ice interactions, or only some?
- Line 161: The modification of accretion is described as an experiment, rather than a change. It would be good to clarify in the section whether the change was adopted.
- Line 263: “scaling the autoconversion of cloud to rain by a further factor of 0.5”. Done that mean that autoconversion rates are divided by two in that simulation? I do not understand the “further” in that sentence. Has another scaling been applied elsewhere?
- Lines 267-268: Could note here that graupel changes are briefly discussed later.
- Line 282: Can you quantify what you mean by “modest”? A few percent? Statistically insignificant?
- Lines 286-287 and 305: One downside of implicit sedimentation mentioned in Section 2.2.5 is that it makes the model more diffusive. I suppose the SCAM tests are too short to show an impact there. Is there an indication of the model being more diffusive in the PUMAS-Implicit simulation?
- Line 313: Weren’t the simulations 6-year long? (Line 227)
- Line 363: I wasn’t expecting a large change in clear-sky aerosol radiative forcing, since the changes made to PUMAS only directly impact aerosol-cloud interactions. Is there a change in aerosol burden distributions through precipitation change?
- Line 383: Are the large differences over the Himalayas in the SW (Figure 10B) and LW (10D) both due to changes in IWP in PUMAS? It would be good to be reminded here of which aerosol-ice interactions are represented in the control and PUMAS simulation.
Technical changes:
- Line 10: The acronym PUMAS is defined in the title but might need to be defined in the abstract as well.
- Line 75: Typo ontributing
- Line 169: Typo calculation
- Line 206: Could give a preliminary citation for that manuscript in preparation, as done in the next section for Gettelman, et al 2022?
- Line 233: large -> larger
- Line 302: Parentheses missing around “Figure 5”.
- Line 319: Need to define the LWP and IWP acronyms here.
- Line 324: it’s -> its
- Line 341: integral -> area
- Caption of Figure 6: Typo radiatve
Citation: https://doi.org/10.5194/egusphere-2022-980-RC2 -
AC2: 'Replies to Reviewers', Andrew Gettelman, 02 Feb 2023
We thank the reviewers for their time and the detailed notes. We have made all of the changes suggested and corrected and clarified as suggested in the attached supplement.
As noted therein, we did find one error in our formulation of the use of the Bigg immersion freezing limiter, so this was corrected and the treatment of immersion freezing revised. Instead of shutting off the CNT scheme for immersion freezing, we adopt an approach where we limit the fraction of dust aerosols acting as immersion INP, following what is already used in the ice nucleation code for soot. In addition, we use a more consistent treatment of aerosol number for ice nucleation, as noted in the revised text. This has been described now in the text, and all the figures updated with new simulations. The conclusions of the paper are not changed, and this is still a minor update to the previous version. New simulations have been run, and updated code and a new archive has been provided (updated doi).
-
AC2: 'Replies to Reviewers', Andrew Gettelman, 02 Feb 2023
We thank the reviewers for their time and the detailed notes. We have made all of the changes suggested and corrected and clarified as suggested in the attached supplement.
As noted therein, we did find one error in our formulation of the use of the Bigg immersion freezing limiter, so this was corrected and the treatment of immersion freezing revised. Instead of shutting off the CNT scheme for immersion freezing, we adopt an approach where we limit the fraction of dust aerosols acting as immersion INP, following what is already used in the ice nucleation code for soot. In addition, we use a more consistent treatment of aerosol number for ice nucleation, as noted in the revised text. This has been described now in the text, and all the figures updated with new simulations. The conclusions of the paper are not changed, and this is still a minor update to the previous version. New simulations have been run, and updated code and a new archive has been provided (updated doi).
Interactive discussion
Status: closed
-
CEC1: 'Comment on egusphere-2022-980', Juan Antonio Añel, 12 Dec 2022
Dear authors,
Unfortunately, after checking your manuscript, it has come to our attention that it does not comply with our "Code and Data Policy".
https://www.geoscientific-model-development.net/policies/code_and_data_policy.html
You have archived your code on GitHub. However, GitHub is not a suitable repository. GitHub itself instructs authors to use other alternatives for long-term archival and publishing, such as Zenodo (Indeed, it provides an automatic way to move GitHub repositories to Zenodo). Therefore, please, publish your code in one of the appropriate repositories listed in our policy, and reply to this comment with the relevant information (link and DOI) as soon as possible, as it should be available for the Discussions stage.Juan A. Añel
Geosci. Model Dev. Exec. EditorCitation: https://doi.org/10.5194/egusphere-2022-980-CEC1 -
AC1: 'Reply on CEC1', Andrew Gettelman, 14 Dec 2022
Done:
The github repo code used in this manuscript has been released and tagged with a DOI for zenodo
doi:10.5281/zenodo.7435352
This will be added to the manuscript as needed in the next version and can be referenced in the discussion if necessary.
Citation: https://doi.org/10.5194/egusphere-2022-980-AC1
-
AC1: 'Reply on CEC1', Andrew Gettelman, 14 Dec 2022
-
RC1: 'Comment on egusphere-2022-980', Anonymous Referee #1, 23 Dec 2022
This manuscript describes a major development step on the cloud microphysical scheme of the CESM model, including modifications to enable GPU usage with the code. A detailed analysis is performed to test the impact of various changes on the simulations results, including a promising performance test, which demonstrates the potential of GPU usage to improve the speed of high resolution simulations. The code (made available by the authors via github/zenodo) is well structured and properly documented.
The paper fits very well to the scope of GMD and it deserves publications. However, the presentation quality could be improved by addressing the suggestions given below.
- L21-22: “This frequency bias has been shown to be directly attributable to cloud microphysics (Gettelman et al., 2021).” Is this a general issue in global modelling or specific to this model? In the cited paper there is no reference to precipitation biases, is this the correct citation?
- L35: here I would specify that you are referring to the M3 scheme (although this becomes clear later).
- L110: I understand that the upper limit at 100 cm-3 is a free parameter, but could you provide a reason for this choice? Is it supported by observations?
- L224: You may also cite Zelinka et al. (GRL, 2020).
- L227-L229: Please be more specific on the boundary conditions. What do you mean with averaged GHG and SST? Is this a climatology over a certain period? Are the aerosol emissions 1995-2005 also a climatology or are they applied in a transient manner?
- L238: “especially GHGs and SSTs are the same”, this is confusing, since SSTs are increased in the SST4K simulations.
- Sect. 4.1: I think this subsection belongs to “Methodology” rather than “Results”.
- L255: changes #1, #6 and #7 are not mentioned here, but are referred to later.
- L264: does this refer to a radius or a diameter? Please specify.
- L270: “high altitude”, I guess this means p < 600 hPa. Please specify.
- L271: here and in the following, I would suggest writing the line color and dash in bracket every time you refer to a process, to facilitate following your explanations on the respective figures, e.g. “accretion of liquid onto snow (dashed-dotted blue line)…”, etc.
- Table1: it could be helpful adding a Table at the end of section 2, where the processes are briefly summarized, using the same numbering (#1, #2) used here.
- L275-276: “and hence an increase in the melting source of liquid”. Is this the dashed-dotted black line in Fig. 3D-F? Because that does not show an increase.
- L284-285: “by plotting some of the changes separately (not shown)”. You may consider adding these plots to a Supplement, for the interested readers.
- Fig. 3: the legend is very hard to read, you may consider moving it outside the plot (e.g. on the right part of the figure) and write the processes explicitly instead of using abbreviations, since these are not always clear.
- Fig. 4: please add some horizontal space between the panels, since the label on the x-axis are sometimes overlapping. As for Fig. 3, I would move the legend to the bottom of the figure and enlarge it a bit (e.g., use 3 columns instead of 2). The thicker lines indicating longer timesteps are hard to distinguish, an alternative could be using a lighter color (e.g., blue vs. light blue).
- L307-308: Why is the MPACE case less sensitive to time-step than ARM97?
- L318: you could add that the ice modifications in PUMAS help to reduce the bias w.r.t. EBAF in SW but not in LW.
- Fig. 6A, 6C: could you please comment on the very large bias over the south polar regions? Is that due to the satellite data being less reliable at high latitudes?
- Fig. 6: please add a reference for the EBAF dataset. As far as I know, EBAF does not include LWP: which observations are shown for LWP in 6A? Please specify, and if this is not EBAF please correct the legend. Why not including observations also for IWP (6B) and precipitation (6F)? At least for the latter, this should be easy to find (e.g., GPCP, Adler et al. (2018), https://doi.org/10.3390/atmos9040138).
- Table 3: if possible, it would be interesting to see some values from other models (e.g., the CMIP6 multi-model mean). You could also mention that the total aerosol effect (RESTOM) lies at the lower end of the current estimates (e.g., Bellouin et al. 2020 gives -2.0 to -0.4 W m-2 with 90% likelihood).
Minor suggestions:
- Author list: the affiliation #2 comes after #3, #4 and #5. Please rearrange.
- L4: the “removing” of the limiter is actually a refactoring, as explained later (L81). Please correct for consistency.
- L5: I would write “ice sedimentation” explicitly.
- L10: acronym PUMAS not yet defined.
- L14: I would add the definition of supercooled liquid water here.
- L76: “ontributing” -> “contributing”.
- L92: “ice nuclei”, the recent literature seems to favour the term “ice nucleating particles”. You may consider changing this here and throughout the paper (or use the acronym INPs).
- L115: “removed” -> “refactored” (see also comment above).
- L145: 1.e-10 -> 10-10.
- L222: “such as anthropogenic greenhouse gases” -> “such as the increase in anthropogenic greenhouse gases”.
- L233: “large” -> “larger”.
- L268: “control” -> “Control”, for consistency with the naming in Table 1 (this occurs also later).
- L303: “cloud and supercooled liquid, as well as cloud ice” -> “cloud (5A) and supercooled (5B) liquid, as well as cloud ice (5C)”.
- L389, 394, 399 “removal” -> “refactoring” (see also comment above).
Citation: https://doi.org/10.5194/egusphere-2022-980-RC1 -
AC2: 'Replies to Reviewers', Andrew Gettelman, 02 Feb 2023
We thank the reviewers for their time and the detailed notes. We have made all of the changes suggested and corrected and clarified as suggested in the attached supplement.
As noted therein, we did find one error in our formulation of the use of the Bigg immersion freezing limiter, so this was corrected and the treatment of immersion freezing revised. Instead of shutting off the CNT scheme for immersion freezing, we adopt an approach where we limit the fraction of dust aerosols acting as immersion INP, following what is already used in the ice nucleation code for soot. In addition, we use a more consistent treatment of aerosol number for ice nucleation, as noted in the revised text. This has been described now in the text, and all the figures updated with new simulations. The conclusions of the paper are not changed, and this is still a minor update to the previous version. New simulations have been run, and updated code and a new archive has been provided (updated doi).
-
RC2: 'Review of Gettelman et al.', Anonymous Referee #2, 03 Jan 2023
In this study, the authors document scientific and technical updates to cloud parameterizations (and especially ice and mixed-phase clouds) of the CESM climate model. They then assess the impact of those updates on simulated climate, cloud feedback, and aerosol radiative forcing. They find that some updates (removal of an upper limit on ice crystal number and revising to hydrometeor sedimentation) have sizeable impacts on those quantities, which should however be tunable.
The manuscript is well written, very clearly organized. Figures and Tables illustrate the discussion well. The conclusion section is especially efficient at conveying the key messages of the study. The paper is a useful documentation of the PUMAS configuration of CESM, as well as a useful reminder of the power of the detail of physical parameterization at affecting large-scale climate and climate response. The discussion requires clarifications in places, as given in my comments below, but these should only amount to minor revisions.
Comments:
- Line 81: I was at first confused by the apparent conflict between “removing an ice number limiter” in the abstract, and “refactoring of the ice number limiter” on this line. Section 2.2.1 clarifies that one number limiter (NIMAX) has been replaced by another (cap at 100 cm−3). It could be worth clarifying throughout.
- Line 90: On that point, why has NIMAX been removed, instead of updating its calculations (which was incomplete) by adding NICNT and fixing NIMEY? Is that related to the issue discussed in section 2.2.2? How different is NIMAX compared to the new cap value of 100 cm−3?
- Lines 120-122: To clarify, has reverting back to Biggs 1953 removed all aerosol-ice interactions, or only some?
- Line 161: The modification of accretion is described as an experiment, rather than a change. It would be good to clarify in the section whether the change was adopted.
- Line 263: “scaling the autoconversion of cloud to rain by a further factor of 0.5”. Done that mean that autoconversion rates are divided by two in that simulation? I do not understand the “further” in that sentence. Has another scaling been applied elsewhere?
- Lines 267-268: Could note here that graupel changes are briefly discussed later.
- Line 282: Can you quantify what you mean by “modest”? A few percent? Statistically insignificant?
- Lines 286-287 and 305: One downside of implicit sedimentation mentioned in Section 2.2.5 is that it makes the model more diffusive. I suppose the SCAM tests are too short to show an impact there. Is there an indication of the model being more diffusive in the PUMAS-Implicit simulation?
- Line 313: Weren’t the simulations 6-year long? (Line 227)
- Line 363: I wasn’t expecting a large change in clear-sky aerosol radiative forcing, since the changes made to PUMAS only directly impact aerosol-cloud interactions. Is there a change in aerosol burden distributions through precipitation change?
- Line 383: Are the large differences over the Himalayas in the SW (Figure 10B) and LW (10D) both due to changes in IWP in PUMAS? It would be good to be reminded here of which aerosol-ice interactions are represented in the control and PUMAS simulation.
Technical changes:
- Line 10: The acronym PUMAS is defined in the title but might need to be defined in the abstract as well.
- Line 75: Typo ontributing
- Line 169: Typo calculation
- Line 206: Could give a preliminary citation for that manuscript in preparation, as done in the next section for Gettelman, et al 2022?
- Line 233: large -> larger
- Line 302: Parentheses missing around “Figure 5”.
- Line 319: Need to define the LWP and IWP acronyms here.
- Line 324: it’s -> its
- Line 341: integral -> area
- Caption of Figure 6: Typo radiatve
Citation: https://doi.org/10.5194/egusphere-2022-980-RC2 -
AC2: 'Replies to Reviewers', Andrew Gettelman, 02 Feb 2023
We thank the reviewers for their time and the detailed notes. We have made all of the changes suggested and corrected and clarified as suggested in the attached supplement.
As noted therein, we did find one error in our formulation of the use of the Bigg immersion freezing limiter, so this was corrected and the treatment of immersion freezing revised. Instead of shutting off the CNT scheme for immersion freezing, we adopt an approach where we limit the fraction of dust aerosols acting as immersion INP, following what is already used in the ice nucleation code for soot. In addition, we use a more consistent treatment of aerosol number for ice nucleation, as noted in the revised text. This has been described now in the text, and all the figures updated with new simulations. The conclusions of the paper are not changed, and this is still a minor update to the previous version. New simulations have been run, and updated code and a new archive has been provided (updated doi).
-
AC2: 'Replies to Reviewers', Andrew Gettelman, 02 Feb 2023
We thank the reviewers for their time and the detailed notes. We have made all of the changes suggested and corrected and clarified as suggested in the attached supplement.
As noted therein, we did find one error in our formulation of the use of the Bigg immersion freezing limiter, so this was corrected and the treatment of immersion freezing revised. Instead of shutting off the CNT scheme for immersion freezing, we adopt an approach where we limit the fraction of dust aerosols acting as immersion INP, following what is already used in the ice nucleation code for soot. In addition, we use a more consistent treatment of aerosol number for ice nucleation, as noted in the revised text. This has been described now in the text, and all the figures updated with new simulations. The conclusions of the paper are not changed, and this is still a minor update to the previous version. New simulations have been run, and updated code and a new archive has been provided (updated doi).
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Andrew Gettelman et al.
Andrew Gettelman et al.
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The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.
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