A New Method for Quality Control of Chinese Rawinsonde Wind Observations

LIAO Jie; WANG Bin; LI Qingxiang

doi:10.1007/s00376-014-4030-6

Abstract:

In 2006, the National Meteorological Information Center (NMIC) of the China Meteorological Administration (CMA) developed its real-time quality control (QC) system of rawinsonde observations coming from the Global Telecommunications System (GTS) and established the Global Upper-air Report Dataset, which, with the NMIC B01 format, is generally referred to as the B01 dataset and updated on a daily basis. However, when the B01 dataset is applied in climate analysis, some wind errors as well as some accurate values with incorrect error marks are found. To improve the quality and usefulness of Chinese rawinsonde wind observations, a new QC method (NewQC) is proposed in this paper. Different from the QC approach used for B01 datasets, the NewQC includes two vertical-wind-shear checks to analyze the vertical consistency of winds, in which the constant height level winds are used as reference data for the QC of mandatory pressure level winds. Different threshold values are adopted in the wind shear checks for different stations and different vertical levels. Several typical examples of QC of different error types by the new algorithm are shown and its performance with respect to 1980-2008 observational data is statistically evaluated. Compared with the radiosonde QC algorithms used in both the Meteorological Assimilation Data Ingest System (MADIS, http://madis.noaa.gov/madis_raob_qc.html) of the National Oceanic and Atmospheric Administration (NOAA) and the B01 dataset, the NewQC shows higher accuracy and better reliability, particularly when used to judge successive observation errors.

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A New Method for Quality Control of Chinese Rawinsonde Wind Observations

Corresponding author: WANG Bin, wab@lasg.iap.ac.cn;

1. State Key Laboratory of Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029;

2. University of Chinese Academy of Sciences, Beijing 100049;

3. National Meteorological Information Center, Beijing 100081

Manuscript received: 2014-02-19

Manuscript revised: 2014-04-24

Fund Project: The authors appreciate the suggestions arising from discussions with ZHU Yanfeng and RUAN Xin, and the continued support and encouragement from HU Kaixi, XIONG Anyuan, ZHU Chen, ZOU Fengling, JIANG Hui, XU Weihui, HUI Jiangxin and LIU Jingwei. This study was jointly supported by the 973 project "Assessment, Assimilation, Recompilation and Applications of Fundamental and Thematic Climate Data Records" (Grant No. 2010CB951600), the National Science and Technology Supporting Program of the 12th Five-Year Plan Period (Grant No. 2012BAC22B00), and the "Monitoring and Detection of Aerial Climate Change in China" project of the China Meteorological Administration (Grant No. GYHY200906014).

Abstract: In 2006, the National Meteorological Information Center (NMIC) of the China Meteorological Administration (CMA) developed its real-time quality control (QC) system of rawinsonde observations coming from the Global Telecommunications System (GTS) and established the Global Upper-air Report Dataset, which, with the NMIC B01 format, is generally referred to as the B01 dataset and updated on a daily basis. However, when the B01 dataset is applied in climate analysis, some wind errors as well as some accurate values with incorrect error marks are found. To improve the quality and usefulness of Chinese rawinsonde wind observations, a new QC method (NewQC) is proposed in this paper. Different from the QC approach used for B01 datasets, the NewQC includes two vertical-wind-shear checks to analyze the vertical consistency of winds, in which the constant height level winds are used as reference data for the QC of mandatory pressure level winds. Different threshold values are adopted in the wind shear checks for different stations and different vertical levels. Several typical examples of QC of different error types by the new algorithm are shown and its performance with respect to 1980-2008 observational data is statistically evaluated. Compared with the radiosonde QC algorithms used in both the Meteorological Assimilation Data Ingest System (MADIS, http://madis.noaa.gov/madis_raob_qc.html) of the National Oceanic and Atmospheric Administration (NOAA) and the B01 dataset, the NewQC shows higher accuracy and better reliability, particularly when used to judge successive observation errors.

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A New Method for Quality Control of Chinese Rawinsonde Wind Observations

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