Calibration Uncertainty of Non-Catching Precipitation Gauges

Author:

Baire QuentinORCID,Dobre MirunaORCID,Piette Anne-Sophie,Lanza LucaORCID,Cauteruccio AriannaORCID,Chinchella Enrico,Merlone AndreaORCID,Kjeldsen Henrik,Nielsen Jan,Østergaard Peter FriisORCID,Parrondo Marina,Garcia Izquierdo Carmen

Abstract

Precipitation is among the most important meteorological variables for, e.g., meteorological, hydrological, water management and climate studies. In recent years, non-catching precipitation gauges are increasingly adopted in meteorological networks. Despite such growing diffusion, calibration procedures and associated uncertainty budget are not yet standardized or prescribed in best practice documents and standards. This paper reports a metrological study aimed at proposing calibration procedures and completing the uncertainty budgets, to make non-catching precipitation gauge measurements traceable to primary standards. The study is based on the preliminary characterization of different rain drop generators, specifically developed for the investigation. Characterization of different models of non-catching rain gauges is also included.

Funder

Calibration and accuracy of non-catching instruments to measure liquid/solid atmospheric precipitation

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference21 articles.

1. The International Vocabulary of Metrology—Basic and General Concepts and Associated Terms (VIM),2012

2. Evaluation of Measurement Data—Guide for the Expression of Uncertainty in Measurement http://www.bipm.org/en/publications/guides/gum.html

3. Calibration of non‐catching precipitation measurement instruments: A review

4. In Proceedings of the First Virtual Session of the Commission for Observation, Infrastructure and Information Systems (INFCOM), Virtual Session, 9–13 November 2020 https://library.wmo.int/index.php?lvl=notice_display&id=21866

5. Guide to Meteorological Instruments and Methods of Observation,2017

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3