Climate Dashboard

A Streamlit dashboard for visualizing global sea surface temperature data from NOAA's OISST dataset.

Features

• Temperature Anomaly Time Series: Shows daily temperature anomalies with 6-month moving average
• Actual Temperature Time Series: Displays actual sea surface temperatures
• Seasonal Patterns: Compares temperature anomalies throughout the year with confidence bounds
• Distribution Analysis: Ridge plot showing temperature distributions by year

Installation

1. Install the required dependencies:

pip install -r requirements.txt

2. Run the Streamlit dashboard:

streamlit run climate_dashboard.py

Data Source

• Dataset: NOAA OISST v2.1 Global Sea Surface Temperature
• Baseline Period: 1981-2011 climatological mean
• Source: Climate Reanalyzer
• Update Frequency: Daily

Dashboard Sections

1. Key Metrics: Latest anomaly, record highs, yearly averages
2. Time Series Plots: Both anomalies and actual temperatures
3. Seasonal Analysis: Year-over-year seasonal comparisons
4. Statistical Distributions: Ridge plots by year

The dashboard loads data in real-time and caches it for performance.