Estimates of Mode-S EHS aircraft-derived wind observation errors using triple collocation

Author:

de Haan Siebren

Abstract

Abstract. Information on the accuracy of meteorological observation is essential to assess the applicability of the measurements. In general, accuracy information is difficult to obtain in operational situations, since the truth is unknown. One method to determine this accuracy is by comparison with the model equivalent of the observation. The advantage of this method is that all measured parameters can be evaluated, from 2 m temperature observation to satellite radiances. The drawback is that these comparisons also contain the (unknown) model error. By applying the so-called triple-collocation method (Stoffelen, 1998), on two independent observations at the same location in space and time, combined with model output, and assuming uncorrelated observations, the three error variances can be estimated. This method is applied in this study to estimate wind observation errors from aircraft, obtained utilizing information from air traffic control surveillance radar with Selective Mode Enhanced Surveillance capabilities (Mode-S EHS, see de Haan, 2011). Radial wind measurements from Doppler weather radar and wind vector measurements from sodar, together with equivalents from a non-hydrostatic numerical weather prediction model, are used to assess the accuracy of the Mode-S EHS wind observations. The Mode-S EHS wind (zonal and meridional) observation error is estimated to be less than 1.4±0.1 m s−1 near the surface and around 1.1 ± 0.3 m s−1 at 500 hPa.

Publisher

Copernicus GmbH

Subject

Atmospheric Science

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Wind observations from hot‐air balloons and the application in an NWP model;Meteorological Applications;2023-07

2. Characterization of Aeolus Measurement Errors by Triple Collocation Analysis Over Western Europe;IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium;2022-07-17

3. A One‐Year‐Long Evaluation of a Wind‐Farm Parameterization in HARMONIE‐AROME;Journal of Advances in Modeling Earth Systems;2022-07

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