Weather_forecasting_dataset

V, Balaji

Description

The dataset titled Tamil Nadu and Puducherry Weather 2022 Cleaned.csv contains comprehensive and cleaned daily weather data for the regions of Tamil Nadu and Puducherry in India for the entire year of 2022. It comprises various atmospheric, temporal, and geospatial features collected from multiple geographic locations. The dataset includes critical weather parameters such as relative humidity at 2 meters (RH_2m), air temperature (TMP_2m), visibility (VIS_2m), wind gust at 10 meters (GUST_10m), surface pressure (PRES_sfc), surface temperature (TMP_sfc), and multiple levels of cloud cover (HCDC_atmc, LCDC_atmc, MCDC_atmc, TCDCRO_atmc, VLCDC_atmc). It also includes wind vector components, such as UGRD_10m, UGRD_50m, VGRD_10m, and VGRD_50m, as well as precipitation (APCP_sfc) and soil temperature at depth (TSOIL_l4).In addition to meteorological attributes, the dataset provides contextual information, including the date and time, extracted month, and detailed location metadata (City, District, State, pincode, and Country), which enables region-specific analysis. During preprocessing, redundant and duplicate label columns were removed to avoid ambiguity and maintain a clean feature space. The dataset is stored in a standard CSV format and has undergone rigorous cleaning steps, including the removal of null values and filtering to retain only locations within Tamil Nadu and Puducherry.This dataset is well-suited for tasks such as rainfall prediction, weather classification, climate trend analysis, and building machine learning models for environmental forecasting.

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Mentions (0)

Metrics

Dataset Index

0.3

FAIR Score

65%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Mendeley Data

License

Creative Commons Attribution 4.0 International

Assigned Domain

Subfield

Atmospheric Science

Field

Earth and Planetary Sciences

Domain

Physical Sciences

Confidence Score

41%

Source

Scholar Data Model

Keywords

Weather ForecastingForecasting ModelWeather DataRainforest

Normalization Factors

FT

65.38

CTw

1.00

MTw

1.00