Not logged in
PANGAEA.
Data Publisher for Earth & Environmental Science

Cionco, Rodolfo Gustavo; Valentini, José Ernesto; Quaranta, Nancy Esther; Soon, Willie Wei-Hock (2017): Mean-daily Irradiance (65°N) and Latitudinal Insolation Gradients (60°N - 30°N) with Short-term Orbital and Solar Forcing, link to files in plain text format [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.877817, Supplement to: Cionco, RG et al. (2018): Lunar fingerprints in the modulated incoming solar radiation: In situ insolation and latitudinal insolation gradients as two important interpretative metrics for paleoclimatic data records and theoretical climate modeling. New Astronomy, 58, 96-106, https://doi.org/10.1016/j.newast.2017.08.003

Always quote citation above when using data! You can download the citation in several formats below.

RIS CitationBibTeX Citation

Abstract:
We present a new set of solar radiation forcing that now incorporated not only the gravitational perturbation of the Sun-Earth-Moon geometrical orbits but also the intrinsic solar magnetic modulation of the Total Solar Irradiance (TSI). This new dataset, covering the past 2000 years as well as a forward projection for about 100 years based on recent result by Velasco-Herrera et al. (2015, doi:10.1016/j.newast.2014.07.009), should provide a realistic basis to examine and evaluate the role of external solar forcing on Earth climate on decadal, multidecadal to multicentennial timescales. A second goal of this paper is to propose both in-situ insolation forcing variable and the latitudinal insolation gradients (LIG) as two key metrics that are subjected to a deterministic modulation by lunar nodal cycle which are often confused with tidal forcing impacts as assumed and interpreted in previous studies of instrumental and paleoclimatic records.
Comment:
The files contain daily insolation at 65°N and daily latitudinal insolation gradients (LIG) between 60°N and 30°N, both with short-term orbital (Milankovitch) forcing and solar cycle.
Size:
218 kBytes

Download Data

Download dataset