Weather Data Measured by BMKG, Sleman Station, Yogyakarta, Indonesia from 2004 to 2024

Citation Author(s):
Furizal
Furizal
Department of Informatics Engineering, Universitas Islam Riau, Pekanbaru, 28284, Indonesia
Alfian
Ma’arif
Department of Electrical Engineering, Universitas Ahmad Dahlan, Yogyakarta, 55191, Indonesia
Ting-Lan
Lin
Department of Electronic Engineering, National Taipei University of Technology, Taipei 10608, Taiwan
Wahyu
Rahmaniar
Institute of Innovative Research, Tokyo Institute of Technology, Kanagawa 226-8503, Japan
Kenji
Suzuki
Institute of Innovative Research, Tokyo Institute of Technology, Kanagawa 226-8503, Japan
Hari
Maghfiroh
Department of Electrical Engineering, Universitas Sebelas Maret, Surakarta 57126, Indonesia
Iswanto
Suwarno
Department of Electrical Engineering, Universitas Muhammadiyah Yogyakarta, Yogyakarta, 55183, Indonesia
Ming-An
Chung
Department of Electronic Engineering, National Taipei University of Technology, Taipei 10608, Taiwan
Yangming
Wen
AI Lab, SEED, Electronic Arts, USA
Aldi Bastiatul
Fawait
Department of Computer Science, Universitas Widya Gama Mahakam Samarinda, Samarinda, 75243, Indonesia
Agus Mulya
Putra
Department of Information System, Universitas Pasir Pengaraian, Pasir Pengaraian, 28558, Indonesia
Asno Azzawagama
Firdaus
Department of Computer Science, Universitas Qamarul Huda Badaruddin Bagu, Central Lombok, 83371, Indonesia
Ana
Yulianti
Department of Informatics Engineering, Universitas Islam Riau, Pekanbaru, 28284, Indonesia
Submitted by:
Furizal Furizal
Last updated:
Fri, 08/30/2024 - 22:52
DOI:
10.21227/bxtt-q543
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Abstract 

This dataset presents daily meteorological data collected from 2004 to 2024 by BMKG (Meteorology, Climatology, and Geophysical Agency) at the Sleman Station, Yogyakarta, Indonesia. The data includes several key weather parameters: minimum, maximum, and average temperatures, relative humidity, rainfall, sunshine duration, wind speed, and wind direction. This comprehensive dataset serves as a valuable resource for research on climate variability, environmental changes, and weather forecasting over a period of 20 years. This dataset is highly applicable for studies focused on climate change, local weather prediction models, and the impact of weather patterns on various sectors, including agriculture, energy, and disaster risk management. The 20-year time span captures significant temporal variability, making it a robust resource for both historical weather analysis and future projections.

Instructions: 

Dataset Title: Weather Data from BMKG Sleman Station, Yogyakarta (2004-2024)

Source: BMKG (Meteorology, Climatology, and Geophysical Agency)

Location: Sleman Station, Yogyakarta, Indonesia

Data Format: Excel (.xlsx)

Columns:

  • Tanggal: Date in DD-MM-YYYY format
  • Date: Date in YYYY-MM-DD format
  • Tn: Minimum temperature (°C)
  • Tx: Maximum temperature (°C)
  • Tavg: Average temperature (°C)
  • RH_avg: Average humidity (%)
  • RR: Rainfall (mm)
  • ss: Sunshine duration (hours)
  • ff_x: Maximum wind speed (m/s)
  • ddd_x: Wind direction at maximum speed (°)
  • ff_avg: Average wind speed (m/s)
  • ddd_car: Most frequent wind direction (°) 

Note:

·  8888: data not measured

·  9999: No Data (no measurement taken)

Time Period: 2004-2024

Comments

This data is sourced from the BMKG online portal (link: https://dataonline.bmkg.go.id/home), downloaded monthly and combined into a single Excel file.

Submitted by Furizal Furizal on Thu, 08/29/2024 - 12:05