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Climate Indicators Shiny App

This Shiny web application provides interactive visualization and statistical analysis of multiple climate indicators, including surface and satellite temperature records, ocean heat, solar irradiance, atmospheric CO₂, ENSO variability, and polar sea ice extent.

The app supports theme switching (light/dark via Bootswatch) and color palette selection (default, viridis, Okabe-Ito), making all plots accessible and visually consistent.

Features

  • Global Surface Temperature

    • Data sources: GISS, HadCRUT5, and Berkeley Earth (BEST).
    • Options for trend fitting (linear, LOESS) with uncertainty/confidence intervals.
    • Displays overall net change since user-defined start year.

  • Satellite Temperature Records

    • Data sources: RSS and UAH satellite lower troposphere (TLT) datasets.
    • Annualized anomalies with smoothing and trend estimates.

  • Ocean Temperatures

    • Data source: HadSST4 global ocean anomalies.
    • Interactive trends and year-to-year variability.

  • Solar Variability

    • Data sources:
      • Sunspot numbers (SIDC).
      • Reconstructed Total Solar Irradiance (TSI):
        • SATIRE-T (Wu+ 2018) back to 1642.
        • SATIRE-S (Yeo, Krivova, Solanki) post-1974.
        • Combined record seamlessly merged at August 1974.
    • Annual mean irradiance plotted with linear/LOESS trends.

  • Atmospheric CO₂

    • Data source: NOAA Mauna Loa annual mean CO₂ (ppm).
    • Both linear and quadratic fits supported.
    • Net change since chosen start year displayed.

  • ENSO (El Niño–Southern Oscillation)

    • Data source: NOAA ONI (Oceanic Niño Index).
    • Monthly anomalies plotted with neutral, El Niño, and La Niña thresholds.
    • Trend analysis with LOESS smoothing.

  • Sea Ice Extent/Area

    • Data sources: NOAA PSL monthly sea ice area (Arctic and Antarctic).
    • Units: million square kilometers.
    • User-selectable months (individual or “All”).
    • Linear/LOESS trend fits plus net change since start year.

Technology

  • Frontend/Server Framework: Shiny
  • Plotting: ggplot2 + Plotly for interactive visualization
  • Styling: Bootswatch themes via {bslib}
  • Palette Options: Default, Viridis (color-blind friendly), Okabe-Ito
  • Data Wrangling: tidyverse, lubridate, readr

Installation

  1. Clone or download this repository.
  2. Make sure you have R (≥ 4.1) installed.
  3. Install required packages:
install.packages(c(
  "shiny", "plotly", "tidyverse", "readr",
  "lubridate", "naniar", "bslib", "viridisLite"
))