Monthly Mean Sunspot Areas in the Last 275 Years

A reconstruction of the average monthly values of sunspot areas—the physical index of solar activity—is proposed. The uncertainty of the obtained values for a significance level $$\alpha = 0.05$$ is estimated. The duration of the number of monthly means has become 275 years. It is shown that the AR index, when used in reconstructions of solar activity of historical observations with small telescopes, is more advantageous than the indices of the number of spots or groups thereof. This index is not sensitive to the possible loss of small groups, which on average make up about a third of the overall number.

Authors

Institutions

Publication Details

Journal
Geomagnetism and Aeronomy
Published
2024-12-01
DOI
https://doi.org/10.1134/s0016793224700518
Primary Topic
Solar and Space Plasma Dynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Monthly Mean Sunspot Areas in the Last 275 Years

А. А. Осипова, Yu. A. Nagovitsyn, S. N. Fedoseeva
1 links
Geomagnetism and Aeronomy
Solar and Space Plasma Dynamics
article

Monthly Mean Sunspot Areas in the Last 275 Years

А. А. Осипова, Yu. A. Nagovitsyn, S. N. Fedoseeva
article en

Abstract

A reconstruction of the average monthly values of sunspot areas—the physical index of solar activity—is proposed. The uncertainty of the obtained values for a significance level $$\alpha = 0.05$$ is estimated. The duration of the number of monthly means has become 275 years. It is shown that the AR index, when used in reconstructions of solar activity of historical observations with small telescopes, is more advantageous than the indices of the number of spots or groups thereof. This index is not sensitive to the possible loss of small groups, which on average make up about a third of the overall number.

Geomagnetism and AeronomyVol. 64(8)
Saint Petersburg State University of Aerospace and Instrumentation (RU), Pulkovo Observatory (RU)
Climate action
Openalex Percentile: Top 80%
Solar and Space Plasma Dynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.