mrtag08/thane-weather-dataset-2022-2026

Thane Daily Microclimate & Weather Dataset (2022–2026)

An unbroken, single-station daily meteorological time series recorded at ~10:00 AM each morning in Thane, Maharashtra, India ($19.22^\circ\text{ N}, 72.98^\circ\text{ E}$) spanning March 17, 2022 to September 19, 2026 (1,467 observations).

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Key Highlights & Characteristics

1. Continuous 4.5-Year Horizon: Captures 4 complete Southwest Monsoon cycles, 5 summer pre-monsoon heatwave spikes, and 4 winter atmospheric inversion periods without missing numerical values.
2. Fixed-Time Sampling: Every record was sampled systematically at approximately 10:00 AM local time, eliminating diurnal time-of-day sampling variance.
3. Organic Air Quality Proxy: Includes granular tracking of atmospheric visibility/conditions (Haze, Smoke, Mist, Fog, Clear), providing an empirical proxy for MMR's winter particulate matter / inversion smog.
4. Dual Units & Enriched Features: Retains metric and imperial values, along with engineered features such as diurnal temperature delta, calculated day length, meteorological season, and precipitation indicators.

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Visual Summary

4.5-Year Climate Cycles	Seasonal Smog & Conditions

Monthly Climatology

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Dataset Schema

Column	Type	Example	Description
date	string (YYYY-MM-DD)	2022-04-24	Calendar date of observation
year	int64	2022	Calendar year
month	int64	4	Calendar month (1–12)
day	int64	24	Day of the month
day_of_week	string	Sunday	Day name
time_recorded	string	09:59AM	Timestamp of IFTTT trigger
temp_c	float64	29.0	Observed temperature at ~10 AM (°C)
temp_f	float64	84.0	Observed temperature at ~10 AM (°F)
condition	string	Haze	Observed weather condition (e.g. Haze, Smoke, Mist, Light Rain)
forecast_high_c	float64	42.0	Forecasted daily high temperature (°C)
forecast_high_f	float64	107.0	Forecasted daily high temperature (°F)
forecast_low_c	float64	27.0	Forecasted daily low temperature (°C)
forecast_low_f	float64	81.0	Forecasted daily low temperature (°F)
forecast_condition	string	Sunny	Forecasted condition description
humidity_pct	int64	73	Relative humidity (%)
wind_speed_kmh	float64	8.0	Wind speed (km/h)
wind_speed_mph	float64	5.0	Wind speed (mph)
wind_direction	string	Northwest	Cardinal direction of wind
day_length_hours	float64	12.75	Solar day length computed from sunrise to sunset
temp_diurnal_range_c	float64	15.0	Difference between forecasted high and low (°C)
temp_diurnal_range_f	float64	26.0	Difference between forecasted high and low (°F)
season	string	Summer / Pre-Monsoon	Meteorological season in Maharashtra
is_rain	bool	False	True if rain, shower, or storm is observed/forecasted
city	string	Thane	City of station
state	string	Maharashtra	State
country	string	India	Country
latitude	float64	19.22	Geographical latitude
longitude	float64	72.98	Geographical longitude

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Quickstart

Using pandas

import pandas as pd

# Load CSV directly
url = "https://huggingface.co/datasets/mrtag08/thane-weather-dataset-2022-2026/raw/main/data/thane_weather_2022_2026.csv"
df = pd.read_csv(url, parse_dates=['date'])
print(df.head())

Using Hugging Face datasets

from datasets import load_dataset

dataset = load_dataset("mrtag08/thane-weather-dataset-2022-2026")
df = dataset['train'].to_pandas()

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Applications & Use Cases

1. Time-Series Forecasting: Benchmark deep learning architectures (e.g. PatchTST, TimesFM, DLinear, LSTM) and tree models (XGBoost/LightGBM) to forecast next-day maximum temperature and diurnal spread.
2. Monsoon & Rain Classification: Predict wet days and rain events using humidity, wind direction shifts, and pressure precursors.
3. Environmental Inversion & Smog Tracking: Model the transition between maritime Arabian Sea air masses and continental winter haze/smoke inversions.

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Provenance & Attribution

• Collection Method: Automated daily trigger via IFTTT logging Weather Underground / The Weather Channel feed.
• Location: Thane, Maharashtra, India.
• License: Creative Commons Attribution 4.0 International (CC-BY-4.0).