Global-Historical-Climatology-Analysis
Project Overview
The Global Historical Climatology Network (GHCN) is an integrated database of climate summaries from land surface stations across the globe. This data set contains gridded mean temperature anomalies, or departures from a reference value or long-term average, from the Global Historical Climatology Network-Monthly (GHCN-M) version 3.2.1 temperature data set. The gridded anomalies were produced from GHCN-M bias-corrected data. Each month of data consists of 2,592 gridded data points produced on a 5° by 5° basis for the entire globe (72 longitude by 36 latitude grid boxes). • Frequency: Monthly • Period: 1880 to 2016
Objectives
This granular dataset permits extensive historical analysis of the earth’s climate to answer questions about climate change:
Do Spatial and Temporal Climate Change Analysis
Conduct a Temporal Variation (Monthly Climate Change) Analysis
What is the Longitudinal Segmentation of Climate Behavior?
What are the Potential Climate (Yearly) Trends?
Tools Used
MS Excel is Used For Data Cleaning and Transformation.
Tableau is used for Analysis and Creating Reports.
Data Source
You can download the dataset here
Result and Findings
Spatial and Temporal Climate Change
The bar chart represents the spatial and temporal coverage of climate change, categorized by latitude. The chart shows the average longitude (calculated) on the x-axis and different latitude ranges on the y-axis. The bars represent values from +699,930 to -241,575. The color intensity appears to correlate with these values; darker shades indicate higher positive values.
Temporal Variation (Monthly Climate Change) Analysis
The line graph above depicts a trend where the value decreases over time, reaching its lowest point around the 6th month, and then slightly increases towards the 13th month. The x-axis represents months, ranging from 0 to 13. The y-axis represents value, with markers at intervals of 20K from 0K to -240K. There are two sets of data represented on the graph: One set of data points is plotted along the top of the graph with values ranging from approximately -3,145 to -3,485. These points are labeled with their exact values. Another set of data points is plotted along the bottom of the graph with values ranging from approximately -221,273 to -227,955. These points are also labeled with their exact values. A blue line connects each point in both sets of data showing a downward trend for both until around month six where it begins to rise slightly.
Longitude Segmentation Analysis
One data point is positioned at approximately 0 on the x-axis and 59,223 on the y-axis. Another data point is located at about -231,406 on the x-axis and -240k on the y-axis
Get details on my GitHub Portfolio link below
#climatechange #dataanalysis #dataanalyst #dataanalytics #data #datacleaning #datatransformation #tableau #excel
