Correcting Real Time Automatic Weather Stations Data Through Quality Checks and Analysis

  • Sd. Thouseef Ahmed Shoaib Andhra Pradesh State Development Planning Society, Hyderabad
  • Syed Nayab Rasool Automatic Weather Stations (AWS) are equipped with various sensors such as Temperature, Humidity, Wind Speed, Wind Direction, Local Pressure, MSLP, Rainfall etc. The weather data from these AWS Stations are received at the APSDPS central servers at any given interval of time. The real-time weather data receives at central server consists of some errors and uneven values, due to sensor problem/some uneven interruptions at AWS sites. For this data, Quality checks are performed to correct erroneous values. These erroneous data are identified and corrected by performing Quality Checks like completeness of data, climatological consistency, Time Consistency, Internal consistency, spatial and range checks. After performing Quality Checks, the accuracy level reached to 95% and during the process of quality checks, the calibration requirements for the AWS is recommended and thereby improving the AWS performance.
Keywords: Automatic weather stations, Quality check, Real time data, Accurate forecast, Weather parameters

Abstract

Automatic Weather Stations (AWS) are equipped with various sensors such as Temperature, Humidity, Wind Speed, Wind Direction, Local Pressure, MSLP, Rainfall etc. The weather data from these AWS Stations are received at the APSDPS central servers at any given interval of time. The real-time weather data receives at central server consists of some errors and uneven values, due to sensor problem/some uneven interruptions at AWS sites. For this data, Quality checks are performed to correct erroneous values. These erroneous data are identified and corrected by performing Quality Checks like completeness of data, climatological consistency, Time Consistency, Internal consistency, spatial and range checks. After performing Quality Checks, the accuracy level reached to 95% and during the process of quality checks, the calibration requirements for the AWS is recommended and thereby improving the AWS performance.
Published
2024-02-29
How to Cite
Shoaib, S. T., & Rasool, S. (2024). Correcting Real Time Automatic Weather Stations Data Through Quality Checks and Analysis. Vayumandal, 41(1-2), 69-76. Retrieved from https://vayumandal.imetsociety.org/index.php/Vayumandal/article/view/175
Issue
Vol 41 No 1-2 (2015): VAYUMANDAL
Section
Research Paper

Copyright (c) 2024 Vayumandal

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

All articles published by VAYUMANDAL are licensed under the Creative Commons Attribution 4.0 International License. This permits anyone.

Anyone is free:

  • To Share - to copy, distribute and transmit the work
  • To Remix - to adapt the work.

Under the following conditions:

  • Share - copy and redistribute the material in any medium or format
  • Adapt - remix, transform, and build upon the material for any purpose, even
    commercially.