The modelled climatic response to the 18.6-year lunar nodal cycle and its role in decadal temperature trends
- 1School of Environmental Sciences, University of East Anglia, Norwich NR4 7SQ, United Kingdom
- 2Climatic Research Unit, University of East Anglia, Norwich NR4 7SQ, United Kingdom
- 3School of Mathematics, University of East Anglia, Norwich NR4 7SQ, United Kingdom
- 4National Centre for Atmospheric Science, Department of Meteorology, University of Reading, Reading RG6 6BB, United Kingdom
- 1School of Environmental Sciences, University of East Anglia, Norwich NR4 7SQ, United Kingdom
- 2Climatic Research Unit, University of East Anglia, Norwich NR4 7SQ, United Kingdom
- 3School of Mathematics, University of East Anglia, Norwich NR4 7SQ, United Kingdom
- 4National Centre for Atmospheric Science, Department of Meteorology, University of Reading, Reading RG6 6BB, United Kingdom
Abstract. The 18.6-year lunar nodal cycle arises from variations in the angle of the Moon’s orbital plane. Previous work has linked the nodal cycle to climate but has been limited, either by the length of observations analysed, or geographical regions considered in model simulations of the pre-industrial period. Here we examine the global effect of the lunar nodal cycle in multi-centennial climate model simulations of the pre-industrial period. We find cyclic signals in global and regional surface air temperature having amplitudes of O (0.1 K), ocean heat uptake and ocean heat content. The timing of anomalies of global surface air temperature and heat uptake are consistent with the so-called slowdown in global warming in the first decade of the 21st century, also displaying warmer than average Arctic surface temperatures at the same time. The lunar nodal cycle causes variations in mean sea level pressure exceeding 0.5 hPa in the Nordic seas region, thus affecting the North Atlantic Oscillation Index during boreal winter. Our results suggest that the contribution of the lunar nodal cycle to global temperature should be negative in the mid-2020s before becoming positive again in the early-2030s, reducing the uncertainty in time at which projected global temperature reaches 1.5 C above pre-industrial levels.
Manoj Joshi et al.
Status: open (until 22 Jun 2022)
-
AC1: 'Comment on egusphere-2022-151', Manoj Joshi, 03 May 2022
reply
A mistake in Figure 2b in the original PDF has now been corrected
-
CC1: 'Comment on egusphere-2022-151', Michael Wallace, 05 May 2022
reply
The author invited me to comment.
Informal referencing for "vol/sol" at around line 105.
On that paragraph topic, if the author intends to cite past work relating solar cycle forcing explorations for climate projections with lags of 2 to 3 years or more, it seems incumbent that he cite this work that I authored.
https://www.tandfonline.com/doi/full/10.1080/02626667.2019.1567925?journalCode=thsj20&scroll=top&needAccess=true
-
CC2: 'Comment on egusphere-2022-151', Paul PUKITE, 12 May 2022
reply
This interface does not allow image uploads of larger sizes so instead my review of the paper is in a PDF attachment. But since I do not have a good PDF generator, the review can also be found online at => Response to the lunar cycle | GeoEnergyMath.com <=
http://geoenergymath.com/2022/05/12/response-to-the-lunar-cycle/
This link contains images that are expandable via clicking
Good luck, hope it gets published
Manoj Joshi et al.
Data sets
Lunar nodal cycle forcing data M. Joshi, R. Hall, D. Stevens, E. Hawkins https://research-portal.uea.ac.uk/en/datasets/lunar-nodal-cycle-amplitude-modulation-map
Manoj Joshi et al.
Viewed
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
557 | 107 | 7 | 671 | 5 | 4 |
- HTML: 557
- PDF: 107
- XML: 7
- Total: 671
- BibTeX: 5
- EndNote: 4
Viewed (geographical distribution)
Country | # | Views | % |
---|
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1