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Three-phase meteorological QA/QC workflow

Subcategory: data processing
Papers: 2 | Mentions: 7

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Description

A comprehensive statistical framework for quality assurance and quality control of meteorological time series data involving preliminary data exploration, quality assessment with outlier detection, and quality control with missing value imputation.

Typical Equipment

  • R programming language
  • imputeTS package
  • highfrequency package
  • dplyr package
  • caTools package
  • NSM3 package

Output Measurements

  • cleaned time series data
  • quality flags
  • statistical summaries
  • visualization plots

Papers Using This Protocol (2)

article

Challenging problems of quality assurance and quality control (QA/QC) of meteorological time series data

2021Stochastic environmental research and risk assessmentintroducing
article

Challenges in Building an End-to-End System for Acquisition, Management, and Integration of Diverse Data From Sensor Networks in Watersheds: Lessons From a Mountainous Community Observatory in East River, Colorado

2019IEEE Accessintroducing

Places Where Used

Gunnison Basin

region1 paper

Almont

study site1 paper

Taylor River

river1 paper

Rifle

study site1 paper

East River

stream1 paper

Slate River

stream1 paper

Washington Gulch valley

valley1 paper

Coal Creek

stream1 paper

Colorado Rocky Mountains

region1 paper

Pumphouse

study site1 paper