Pakistan Climate Change Observations

2009-2013 Daily Weather Data for Islamabad

By Ahsan Aman [source]

About this dataset

This dataset contains preprocessed climate change data for Islamabad, Pakistan from 2009 to 2013. Evaluate the shifts in local conditions to understand how climate change is impacting the region. Analyze changing patterns in maximum and minimum temperature readings, as well as atmospheric pressure, cloud cover, wind speed and rain levels. Assess how all of these factors together contribute to a dynamic weather pattern, and discover emerging trends for the years ahead. Get a detailed breakdown of daily weather measurements that can inform forecasting models and drive public awareness on climate change issues in this region of the world

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How to use the dataset

This dataset contains daily climate change data for Islamabad, Pakistan for the years 2009 to 2013. This data can be used to analyze the different climate factors and to assess their impact on local weather conditions. This dataset is ideal for understanding how climate change affects daily weather patterns in an area over a long period of time.

• First, explore the columns of this dataset and understand what each means:
• daymonth_category: The month and day of the observation (String)
• weather: The weather conditions during the observation (String)
• max_temp: The maximum temperature during the observation (Float)
• min_temp: The minimum temperature during the observation (Float)
• wind: The wind speed during the observation (Float)
• rain: The amount of rain during the observation (Float)
• cloud: The amount of cloud cover during the observation Float

• pressure :The atmospheric pressure during the observation Float - year :The year oftheobservation Integer -weathervalue intrepresenting numerical value assignedtotheweatherconditionsduringtheobservation Integer - avg_temp average temperatureduringtheobservation Float

• After familiarizing yourself with these columns, use descriptive analysis methods such as filtering or grouping according to different criteria such as type or date range in order to explore specific trends within this data set. Depending on your purpose or research question, different kinds of filtering/grouping can provide useful insights into certain factors related to climate change. For example you may wish to look at trends related specifically to maximum temperatures in July through August in order observing yearly fluctuations that occur due heat waves etc., or you may want view rainfall trends for each month across all five years in our dataset etc..

  3 . Another important feature contained within this data set are its weathervalues which assigns numerical values associated with specific weather events occurring throughout our study period . These values can be used as labels e.g from 0to9 ,for further machine learning work related projects based off thisdata set .In addition based on these valuesyou could also create comparison graphsformeanandstandarddeviationsof particularweather eventtypesandsee howthey’rerelatedtohigher/lowertemperaturesorother factorslikerainfall ratesetc..

Research Ideas

• Analyzing the correlation between climate change and daily weather trends in Islamabad, Pakistan over time.
• Understanding how different temperature ranges affect Islamabad, Pakistan's population and tourism levels during different months of the year.
• Creating a predictive model to forecast future climate change data and weather patterns in Islamabad, Pakistan using machine learning classification algorithms like Decision Trees or Random Forests

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: dataset_preprocessed_Islamabad.csv | Column name | Description | |:----------------------|:-------------------------------------------------------| | daymonth_category | A categorization of the day and month. (String) | | weather | The weather condition observed. (String)...

Record monsoon in Pakistan in 2022: More than 33 million people affected by flooding: The monsoon is a central component of the climate in the tropics and shapes the livelihood of people. Deviations in its characteristics from the long-term average can therefore have dramatic consequences, as shown by the record monsoon of 2022 in Pakistan. Over 33 million people were affected by the flooding caused by the extreme rainfall. The proximity of settlements to the riverbed and the failure of flood management infrastructure contributed to the extensive damage. At the same time, it was an exceptionally extreme climate event, in which various amplifying factors occurred simultaneously. The World Weather Attribution Initiative concludes that the rainfall intensity could have been increased by up to 50% due to climate change. Current climate model projections also predict a robust intensification of monsoon rainfall and an increase in extremes during the monsoon season in the 21st century. Moreover, current air pollution in Asia still dampens the climate change effect in the present climate. Once measures to improve air quality become effective, the climate change effect on the monsoon will become even more pronounced. How much global warming will change the monsoon and how many extreme events can be expected in the future ultimately depends on the greenhouse gas emissions that we humans will produce in the coming years.