Plateau Meteorology

Plateau Meteorology >

2019 , Vol. 38 >Issue 4: 872 - 886

DOI: https://doi.org/10.7522/j.issn.1000-0534.2018.00121

Intensive Radiosonde Observations at 14: 00 in China Mainland and Their Impact Study on Mesoscale Numerical Weather Prediction

  • WANG Dan ,
  • XU Zhifang ,
  • WANG Ruiwen ,
  • ZHANG Lihong
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  • National Meteorological Centre, Beijing 100081, China;Numerical Prediction Center, CMA, Beijing 100081, China;Institute of Plateau Meteorology, CMA, Chengdu 610072, Sichuan, China

Received date: 2018-05-31

  Online published: 2019-08-28

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Abstract

Based on the intensive radiosonde observations at 14:00(Beijing time, after the same) during June of 2014, both Observing System Simulation Experiments (OSSEs) and Observing System Experiments (OSEs) have been carried out to investigate the impact of extra radiosonde observations on mesoscale numerical weather prediction model. The preliminary observation network design of intensive radiosonde has also been discussed in this paper. The results suggested that:(1) The intensive radiosonde has a positive effect on improving the accuracy of precipitation forecast, especially for precipitation forecast starts from 14:00. The forecast skills increases with the magnitude of precipitation. (2) In the observing system simulation experiment, the assimilation of intensive radiosonde can effectively adjust the dynamic, thermal structure and water vapor distribution in model's initial field. Meanwhile, assimilating actual intensive radiosonde can correct wind filed, but has a slightly negative contribution to temperature and humidity field at the low level of the model. Bias of humidity and temperature may be a possible reason. (3) The intensive radiosonde plays a fundamental role in numerical prediction system. GPS/PW(Global Position System/Precipitable Water) and other unconventional observations are not similar as intensive radiosonde data. Taking into account the cost of the intensive radiosonde balloon, setting the detecting height to 300 hPa and key area encryption is an economical approach in the future.

Key words： Intensive radiosonde; data assimilation; numerical impact; observation network

Cite this article

WANG Dan , XU Zhifang , WANG Ruiwen , ZHANG Lihong . Intensive Radiosonde Observations at 14: 00 in China Mainland and Their Impact Study on Mesoscale Numerical Weather Prediction[J]. Plateau Meteorology, 2019 , 38(4) : 872 -886 . DOI: 10.7522/j.issn.1000-0534.2018.00121

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