Preprints
https://doi.org/10.5194/acp-2022-159
https://doi.org/10.5194/acp-2022-159
 
08 Apr 2022
08 Apr 2022
Status: a revised version of this preprint was accepted for the journal ACP and is expected to appear here in due course.

The Impact of Improved Spatial and Temporal Resolution of Reanalysis Data on Lagrangian Studies of the Tropical Tropopause Layer

Stephen Bourguet1 and Marianna Linz1,2 Stephen Bourguet and Marianna Linz
  • 1Harvard University Department of Earth and Planetary Sciences
  • 2Harvard University School of Engineering and Applied Sciences

Abstract. Lagrangian trajectories are frequently used to trace air parcels from the troposphere to the stratosphere through the tropical tropopause layer (TTL), and the coldest temperatures of these trajectories have been used to reconstruct water vapor variability in the lower stratosphere, where water vapor’s radiative impact on Earth’s surface is strongest. As such, the ability of these trajectories to accurately capture temperatures encountered by parcels in the TTL is crucial to water vapor reconstructions and calculations of water vapor’s radiative forcing. A potential source of error for trajectory calculations is the resolution of the input data. Here, we explore how improving the temporal and spatial resolution of model input data impacts the temperatures measured by Lagrangian trajectories that cross the TTL during boreal winter using ERA5 reanalysis data. We do so by comparing the temperature distribution of trajectories computed with data downsampled in either space or time to those computed with ERA5's maximum resolution. We find that improvements in temporal resolution from 6 hour to 3 or 1 hour lower the cold point temperature distribution, with the mean cold point temperature decreasing from 185.9 K to 185.0 K or 184.5 K for trajectories run during boreal winters of 2010 to 2019, while improvements to vertical resolution from that of MERRA2 data (the GEOS5 model grid) to full ERA5 resolution also lower the distribution but are of secondary importance, and improvements in horizontal resolution from 1° x 1° to 0.5° x 0.5° or 0.25° x 0.25° have negligible impacts. We suggest that this is caused by excess vertical dispersion near the tropopause when temporal resolution is degraded, which allows trajectories to cross the TTL without passing through the coldest regions, and by undersampling of the four--dimensional temperature field when either temporal or vertical resolution is reduced.

Stephen Bourguet and Marianna Linz

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on acp-2022-159', Alison Ming, 27 Apr 2022
  • RC2: 'Comment on acp-2022-159', Anonymous Referee #2, 03 May 2022
  • RC3: 'Comment on acp-2022-159', Anonymous Referee #3, 07 May 2022
  • AC1: 'Comment on acp-2022-159', Stephen Bourguet, 13 Jul 2022

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on acp-2022-159', Alison Ming, 27 Apr 2022
  • RC2: 'Comment on acp-2022-159', Anonymous Referee #2, 03 May 2022
  • RC3: 'Comment on acp-2022-159', Anonymous Referee #3, 07 May 2022
  • AC1: 'Comment on acp-2022-159', Stephen Bourguet, 13 Jul 2022

Stephen Bourguet and Marianna Linz

Data sets

LAGRANTO resolution project data and code Stephen Bourguet https://doi.org/10.5281/zenodo.6410194

Stephen Bourguet and Marianna Linz

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Short summary
Here, we tested the impact of spatial and temporal resolution on Lagrangian trajectory studies in a key region of interest for climate feedbacks and stratospheric chemistry. Our analysis shows that new higher resolution input data provides an opportunity for a better understanding of physical processes that control how air moves from the troposphere to the stratosphere. Future studies of how these processes will change in a warming climate will benefit from these results.
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