Wind observations from hot-air balloons and the application in an NWP model

IF 2.3 4区地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES

Meteorological Applications Pub Date : 2023-07-03 DOI:10.1002/met.2128

Evert I. F. de Bruijn, Fred C. Bosveld, Siebren de Haan, Gert-Jan Marseille, Albert A. M. Holtslag

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Abstract

In this paper, we report on a wind observation method based on the movement of hot-air balloons (HABs). A quality assessment was carried out by comparing against wind observations at the meteorological tower of Cabauw in the Netherlands during May–September 2018, and the obtained standard deviations in error were $σ_{u} = 0.65 {ms}^{- 1}$ and $σ_{v} = 0.69 {ms}^{- 1}$ for the measured zonal and meridional wind components, respectively. Subsequent comparison against short-term forecasts of the HARMONIE-AROME model showed a standard deviation of 2.5 ms⁻¹ for the wind vector difference. From the HAB observation set, a case was selected with a rapidly changing wind field belonging to a small intensifying depression. The HAB wind observation was applied in data assimilation as a proof of principle for a single-observation experiment. It is shown that in a complex baroclinic situation, the model state is slightly improved.

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热气球的风观测及其在NWP模型中的应用

本文报道了一种基于热气球运动的风观测方法。通过与荷兰Cabauw气象塔2018年5 - 9月的风观测数据进行对比，得到的纬向风分量和经向风分量的误差标准差分别为σu=0.65ms−1 $$ {\sigma}_u=0.65\;{\mathrm{ms}}^{-1} $$和σv=0.69ms−1 $$ {\sigma}_v=0.69\;{\mathrm{ms}}^{-1} $$。随后与HARMONIE - AROME模型短期预报的比较显示，风矢量差的标准偏差为2.5 ms−1。从HAB观测集中选取了一个快速变化的风场属于小型强化低气压的病例。将赤潮风观测应用于资料同化，作为单次观测实验的原理证明。结果表明，在复杂斜压情况下，模型状态略有改善。

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来源期刊

Meteorological Applications 地学-气象与大气科学

CiteScore

5.70

自引率

3.70%

发文量

审稿时长

>12 weeks

期刊介绍： The aim of Meteorological Applications is to serve the needs of applied meteorologists, forecasters and users of meteorological services by publishing papers on all aspects of meteorological science, including: applications of meteorological, climatological, analytical and forecasting data, and their socio-economic benefits; forecasting, warning and service delivery techniques and methods; weather hazards, their analysis and prediction; performance, verification and value of numerical models and forecasting services; practical applications of ocean and climate models; education and training.