Biological and Environmental Research - Earth and Environmental System Sciences
Earth and Environmental System Modeling

Impact of Nudging Strategy on the Climate Representativeness and Hindcast Skill of Constrained EAMv1 Simulations

TitleImpact of Nudging Strategy on the Climate Representativeness and Hindcast Skill of Constrained EAMv1 Simulations
Publication TypeJournal Article
Year of Publication2019
AuthorsSun, Jian, Zhang Kai, Wan Hui, Ma Po-Lun, Tang Qi, and Risenmay Shixuan
JournalJournal of Advances in Modeling Earth Systems
Volume11
Number12
Pages3911-3933
Abstract / Summary

Nudging is a simulation technique widely used in sensitivity studies and in the evaluation of atmosphere models. Care is needed in the experimental setup in order to achieve the desired constraint on the simulated atmospheric processes without introducing undue intervention. In this study, sensitivity experiments are conducted with the Energy Exascale Earth System Model (E3SM) Atmosphere Model Version 1 (EAMv1) to identify setups that can give results representative of the model's long‐term climate and meanwhile reasonably capture characteristics of the observed meteorological conditions to facilitate the comparison of model results with measurements. We show that when the prescribed meteorological conditions are temporally interpolated to the model time to constrain EAM's horizontal winds at each time step, a nudged simulation can reproduce the characteristic evolution of the observed weather events (especially in middle and high latitudes) as well as the model's long‐term climatology, although nudging also leads to nonnegligible regional changes in wind‐driven aerosol emissions, low‐level clouds in the stratocumulus regime, and cloud and precipitation near the maritime continent. Compared to its predecessor model used in an earlier study, EAMv1 is less sensitive to temperature nudging, although significant impacts on the cloud radiative effects still exist. EAMv1 remains very sensitive to humidity nudging. Constraining humidity substantially improves the correlation between the simulated and observed tropical precipitation but also leads to large changes in the long‐term statistics of the simulated precipitation, clouds, and aerosol lifecycle.

URLhttp://dx.doi.org/10.1029/2019ms001831
DOI10.1029/2019ms001831
Journal: Journal of Advances in Modeling Earth Systems
Year of Publication: 2019
Volume: 11
Number: 12
Pages: 3911-3933
Publication Date: 12/2019

Nudging is a simulation technique widely used in sensitivity studies and in the evaluation of atmosphere models. Care is needed in the experimental setup in order to achieve the desired constraint on the simulated atmospheric processes without introducing undue intervention. In this study, sensitivity experiments are conducted with the Energy Exascale Earth System Model (E3SM) Atmosphere Model Version 1 (EAMv1) to identify setups that can give results representative of the model's long‐term climate and meanwhile reasonably capture characteristics of the observed meteorological conditions to facilitate the comparison of model results with measurements. We show that when the prescribed meteorological conditions are temporally interpolated to the model time to constrain EAM's horizontal winds at each time step, a nudged simulation can reproduce the characteristic evolution of the observed weather events (especially in middle and high latitudes) as well as the model's long‐term climatology, although nudging also leads to nonnegligible regional changes in wind‐driven aerosol emissions, low‐level clouds in the stratocumulus regime, and cloud and precipitation near the maritime continent. Compared to its predecessor model used in an earlier study, EAMv1 is less sensitive to temperature nudging, although significant impacts on the cloud radiative effects still exist. EAMv1 remains very sensitive to humidity nudging. Constraining humidity substantially improves the correlation between the simulated and observed tropical precipitation but also leads to large changes in the long‐term statistics of the simulated precipitation, clouds, and aerosol lifecycle.

DOI: 10.1029/2019ms001831
Citation:
Sun, J, K Zhang, H Wan, P Ma, Q Tang, and S Risenmay.  2019.  "Impact of Nudging Strategy on the Climate Representativeness and Hindcast Skill of Constrained EAMv1 Simulations."  Journal of Advances in Modeling Earth Systems 11(12): 3911-3933.  https://doi.org/10.1029/2019ms001831.