Predicting the weather in Costa Rica
A 5-year Overview of Trends and Patterns
By Humanitarian Data Exchange [source]
About this dataset
This dataset offers a comprehensive look at precipitation indicators across Costa Rica over the past 5 years. Provided by the National Centers for Environmental Information (NCEI), administrated by National Oceanic and Atmospheric Administration (NOAA), it includes 4 individual indicators - Total Precipitation (TPCP); Maximum Snow Depth (MXSD); Total Snowfall (TSNW); and Extreme Maximum Daily Precipitation (EMXP). Such data is collected from thousands of base stations periodically, in order to monitor weather and climate conditions accurately.
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Research Ideas
- Analyzing the impacts of weather and climate change in Costa Rica over the past 5 years.
- Identifying areas that are particularly susceptible to extreme weather phenomena such as floods, droughts, and hurricanes.
- Comparing and tracking monthly changes in precipitation, snow depth, snowfall, and extreme maximum daily precipitation across different regions of Costa Rica
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: precipitation-cri-csv-1.csv
| Column name |
Description |
| date |
Date of the observation. (Date) |
| datatype |
Type of data being observed. (String) |
| station |
Name of the station where the observation was taken. (String) |
| value |
Value of the observation. (Float) |
| fl_miss |
Flag indicating if the observation is missing. (Integer) |
| fl_cmiss |
Flag indicating if the observation is complete. (Integer) |
| country |
Country where the observation was taken. (String) |
| indicator |
Type of indicator being observed. (String) |
Acknowledgements
If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit Humanitarian Data Exchange.