ASTM D4430-00(2023) PDF
Standard Practice for Determining the Operational Comparability of Meteorological Measurements
Standard Practice for Determining the Operational Comparability of Meteorological Measurements
- Статус документа:
- Действующий
- Формат:
- Электронный (PDF)
- Количество страниц:
- 4
- Дата публикации:
- 1 января 2023 г.
- Издание:
- D4430
- ICS:
- 07.060
SIGNIFICANCE AND USE 5.1 This practice provides data needed for selection of instrument systems to measure meteorological quantities and to provide an estimate of the precision of measurements made by such systems. 5.2 This practice is based on the assumption that the repeated measurement of a meteorological quantity by a sensor system will vary randomly about the true value plus an unknowable systematic difference. Given infinite resolution, these measurements will have a Gaussian distribution about the systematic difference as defined by the Central Limit Theorem. If it is known or demonstrated that this assumption is invalid for a particular quantity, conclusions based on the characteristics of a normal distribution must be avoided. SCOPE 1.1 Sensor systems used for making meteorological measurements may be tested for laboratory accuracy in environmental chambers or wind tunnels, but natural exposure cannot be fully simulated. Atmospheric quantities are continuously variable in time and space; therefore, repeated measurements of the same quantities as required by Practice E177 to determine precision are not possible. This practice provides standard procedures for exposure, data sampling, and processing to be used with two measuring systems in determining their operational comparability (1,2).2 1.2 The procedures provided produce measurement samples that can be used for statistical analysis. Comparability is defined in terms of specified statistical parameters. Other statistical parameters may be computed by methods described in other ASTM standards or statistics handbooks (3). 1.3 Where the two measuring systems are identical, that is, same make, model, and manufacturer, the operational comparability is called functional precision. 1.4 Meteorological determinations frequently require simultaneous measurements to establish the spatial distribution of atmospheric quantities or periodically repeated measurement to determine the time distribution, or both. In some cases, a number of identical systems may be used, but in others a mixture of instrument systems may be employed. The procedures described herein are used to determine the variability of like or unlike systems for making the same measurement. 1.5 This standard does not purport to address the safety concerns, if any, associated with its use. It is the responsibility of the user of this standard to establish appropriate safety, health, and environmental practices and determine the applicability of regulatory limitations prior to use. (See 8.1 for more specific safety precautionary information.) 1.6 This international standard was developed in accordance with internationally recognized principles on standardization established in the Decision on Principles for the Development of International Standards, Guides and Recommendations issued by the World Trade Organization Technical Barriers to Trade (TBT) Committee.
Abstract
Overview
ASTM D4430-00(2023), titled Standard Practice for Determining the Operational Comparability of Meteorological Measurements, provides essential procedures for assessing and comparing the performance of meteorological sensor systems under real-world conditions. Developed by ASTM International, this standard addresses the need to select reliable instrument systems for atmospheric measurement and to estimate the precision of their outputs when identical or different systems are used concurrently.
Ensuring operational comparability is a crucial step in atmospheric science, environmental monitoring, and meteorological research. Sensor systems that measure meteorological quantities can be calibrated in controlled laboratory settings, but natural atmospheric variability demands systematic field comparisons to ensure measurement integrity.
Key Topics
- Operational Comparability: The standard defines how to evaluate whether two meteorological measuring systems-identical or dissimilar-provide similar results under the same environmental conditions.
- Functional Precision: When systems are identical (same make, model, manufacturer), their comparability is termed "functional precision."
- Sampling Procedures: Specifies requirements for exposure, data collection, and minimum sample size to obtain statistically valid results.
- Statistical Analysis: Outlines calculation of important parameters such as:
- Root mean square (rms) of measurement differences
- Systematic differences (bias)
- Standard deviation, skewness, and kurtosis of the measurement difference distribution
- Handling Variability: Includes methods to detect how measurement differences may change with the magnitude of atmospheric quantities and how to properly class and report this variability.
- Precautions: Emphasizes the importance of minimizing interference (environmental and mutual sensor interference) and adhering to safety and operational guidelines.
Applications
- Sensor Selection & Network Deployment: Helps organizations choose the right combination of meteorological instrumentation by providing data to compare accuracy and precision between systems either of the same or different types.
- Quality Assurance for Weather Stations: Essential for national weather services, environmental agencies, and research institutions seeking to validate, standardize, or compare operational meteorological data collected from networks of sensors.
- Statistical Data Processing: Supports the development of data processing protocols for field campaigns where consistency across multiple stations or sensor types is necessary.
- Calibration and Maintenance Practices: Assists in evaluating whether recalibration or maintenance is needed due to detected systematic differences or operational drift.
- Research into Measurement Uncertainty: Provides a framework for studies aiming to quantify and report uncertainty in meteorological measurements, supporting better scientific and regulatory decisions.
Related Standards
- ASTM D1356: Terminology Relating to Sampling and Analysis of Atmospheres - provides vocabulary and definitions for sampling atmospheric conditions.
- ASTM E177: Practice for Use of the Terms Precision and Bias in ASTM Test Methods - establishes the statistical terms and methodologies referenced in ASTM D4430.
- WTO TBT Principles: This standard aligns with the World Trade Organization Technical Barriers to Trade (TBT) requirements for international standardization, supporting global applicability.
By following ASTM D4430-00(2023), users can ensure high-quality meteorological data collection, achieve instrument comparability, and comply with international best practices for atmospheric measurements. This drives reliability in meteorological networks, improved environmental assessments, and informed scientific research.
Технические детали
- Технический комитет
- D22 - Air Quality
- SKU
- ASTM D4430-00(2023)
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