Adjoint-based forecast sensitivity to quasi-geostrophic potential vorticity.

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Title: Adjoint-based forecast sensitivity to quasi-geostrophic potential vorticity.
Authors: Morgan, Michael C.1 (AUTHOR) mcmorgan@wisc.edu, Chen, Nuo1 (AUTHOR), Goldstein, Alexander1 (AUTHOR), Hoover, Brett T.1,2 (AUTHOR)
Source: Monthly Weather Review. Jun2026, Vol. 154 Issue 6, p1-22. 22p.
Subjects: Sensitivity analysis, Geostrophic wind, Temperature, Cyclogenesis, Mathematical models, Vortex motion
Abstract: A novel approach to deriving an analytical expression to diagnose the sensitivity to quasi-geostrophic potential vorticity (QGPV) from adjoint-model sensitivities to the horizontal wind and potential temperature is presented. The approach involves making use of the results of an often used technique to derive adjoint-informed, optimal initial perturbations which minimize initial-time energy and elicit a specified change in a final time response function. The approach, applied to other forms of potential vorticity, is verified against previously published results for sensitivities to vorticity and sensitivities to shallow water potential vorticity. The sensitivity to QGPV is shown to be proportional to the result of inverting QGPV calculated using the adjoint sensitivities to the horizontal wind field and potential temperature in place of the horizontal winds and potential temperature of the prognostic model. Given the sensitivity to QGPV, the sensitivities to the geostrophic wind and hydrostatic temperature fields are readily diagnosed. The initialization and subsequent integration of an adjoint model with these balanced sensitivities suppresses high-frequency oscillations associated with adjoint adjustment while preserving the salient characteristics of low-frequency adjoint sensitivity fields. Application of these results is demonstrated in a case study of North Pacific cyclogenesis. [ABSTRACT FROM AUTHOR]
Copyright of Monthly Weather Review is the property of American Meteorological Society and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Adjoint-based forecast sensitivity to quasi-geostrophic potential vorticity.
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  Data: <searchLink fieldCode="AR" term="%22Morgan%2C+Michael+C%2E%22">Morgan, Michael C.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> mcmorgan@wisc.edu</i><br /><searchLink fieldCode="AR" term="%22Chen%2C+Nuo%22">Chen, Nuo</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Goldstein%2C+Alexander%22">Goldstein, Alexander</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hoover%2C+Brett+T%2E%22">Hoover, Brett T.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Monthly+Weather+Review%22">Monthly Weather Review</searchLink>. Jun2026, Vol. 154 Issue 6, p1-22. 22p.
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  Data: <searchLink fieldCode="DE" term="%22Sensitivity+analysis%22">Sensitivity analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Geostrophic+wind%22">Geostrophic wind</searchLink><br /><searchLink fieldCode="DE" term="%22Temperature%22">Temperature</searchLink><br /><searchLink fieldCode="DE" term="%22Cyclogenesis%22">Cyclogenesis</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+models%22">Mathematical models</searchLink><br /><searchLink fieldCode="DE" term="%22Vortex+motion%22">Vortex motion</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: A novel approach to deriving an analytical expression to diagnose the sensitivity to quasi-geostrophic potential vorticity (QGPV) from adjoint-model sensitivities to the horizontal wind and potential temperature is presented. The approach involves making use of the results of an often used technique to derive adjoint-informed, optimal initial perturbations which minimize initial-time energy and elicit a specified change in a final time response function. The approach, applied to other forms of potential vorticity, is verified against previously published results for sensitivities to vorticity and sensitivities to shallow water potential vorticity. The sensitivity to QGPV is shown to be proportional to the result of inverting QGPV calculated using the adjoint sensitivities to the horizontal wind field and potential temperature in place of the horizontal winds and potential temperature of the prognostic model. Given the sensitivity to QGPV, the sensitivities to the geostrophic wind and hydrostatic temperature fields are readily diagnosed. The initialization and subsequent integration of an adjoint model with these balanced sensitivities suppresses high-frequency oscillations associated with adjoint adjustment while preserving the salient characteristics of low-frequency adjoint sensitivity fields. Application of these results is demonstrated in a case study of North Pacific cyclogenesis. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of Monthly Weather Review is the property of American Meteorological Society and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1175/MWR-D-25-0161.1
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      – Code: eng
        Text: English
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        PageCount: 22
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    Subjects:
      – SubjectFull: Sensitivity analysis
        Type: general
      – SubjectFull: Geostrophic wind
        Type: general
      – SubjectFull: Temperature
        Type: general
      – SubjectFull: Cyclogenesis
        Type: general
      – SubjectFull: Mathematical models
        Type: general
      – SubjectFull: Vortex motion
        Type: general
    Titles:
      – TitleFull: Adjoint-based forecast sensitivity to quasi-geostrophic potential vorticity.
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            NameFull: Morgan, Michael C.
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            NameFull: Chen, Nuo
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            NameFull: Goldstein, Alexander
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            NameFull: Hoover, Brett T.
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            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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