Name: Predicting The Weather In Costa Rica
Creator: Kaggle
License: https://creativecommons.org/publicdomain/zero/1.0/

About this Dataset

Predicting The Weather In Costa Rica

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.

More Datasets

For more datasets, click here.

Featured Notebooks

🚨 Your notebook can be here! 🚨!

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.

Tables

Precipitation Cri 1

@kaggle.thedevastator_daily_precipitation_indicator_summary_in_costa_r.precipitation_cri_1

14.18 kB
1,044 rows
9 columns

CREATE TABLE precipitation_cri_1 (
  "index" BIGINT,
  "date" TIMESTAMP,
  "datatype" VARCHAR,
  "station" VARCHAR,
  "value" BIGINT,
  "fl_miss" BIGINT,
  "fl_cmiss" BIGINT,
  "country" VARCHAR,
  "indicator" VARCHAR
);