Precipitation on the lee side of the Vosges Mountains: Multi-instrumental study of one case from the COPS campaign

Labbouz, Laurent; Baelen, Joël Van; Tridon, Frédéric; Reverdy, Mathieu; Hagen, Martin; Bender, Michael A.; Dick, Galina; Gorgas, T.; Planche, Céline

doi:10.1127/0941-2948/2013/0413

Cited by 24 publications

(27 citation statements)

References 47 publications

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“…Using a carefully tuned tomography system, a continuous series of stable results can be obtained providing important information of the temporal evolution of humidity fields Labbouz et al, 2013;Manning et al, 2012;.…”

Section: Constraintsmentioning

confidence: 99%

Review of the state of the art and future prospects of the ground-based GNSS meteorology in Europe

et al. 2016

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Abstract. Global navigation satellite systems (GNSSs) have revolutionised positioning, navigation, and timing, becoming a common part of our everyday life. Aside from these well-known civilian and commercial applications, GNSS is now an established atmospheric observing system, which can accurately sense water vapour, the most abundant greenhouse gas, accounting for 60-70 % of atmospheric warming. In Europe, the application of GNSS in meteorology started roughly two decades ago, and today it is a well-established field in both research and operation. This review covers the state of the art in GNSS meteorology in Europe. The advances in GNSS processing for derivation of tropospheric products, application of GNSS tropospheric products in operational weather prediction and application of GNSS tropospheric products for climate monitoring are discussed. The GNSS processing techniques and tropospheric products are reviewed. A summary of the use of the products for validation and impact studies with operational numerical weather prediction (NWP) models as well as very short weather prediction (nowcasting) case studies is given. Climate research with GNSSs is an emerging field of research, but the studies so far have been limited to comparison with climate models and derivation of trends.More than 15 years of GNSS meteorology in Europe has already achieved outstanding cooperation between the atmospheric and geodetic communities. It is now feasible to develop next-generation GNSS tropospheric products and applications that can enhance the quality of weather forecasts and climate monitoring. This work is carried out within COST Action ES1206 advanced global navigation satellite systems tropospheric products for monitoring severe weather events and climate (GNSS4SWEC, http://gnss4swec.knmi. nl).

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Section: Constraintsmentioning

confidence: 99%

Review of the state of the art and future prospects of the ground-based GNSS meteorology in Europe

et al. 2016

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“…Bock et al, 2004;Walpersdorf et al, 2004;Brenot et al, 2006;Van Baelen et al, 2011;Labbouz et al, 2013) and process-oriented studies (such as understanding the fundamentals of deep tropical convection, see Adams et al, 2013). …”

Section: State-of-the-art: Gps Met Applicationsmentioning

confidence: 99%

A GPS network for tropospheric tomography in the framework of the Mediterranean hydrometeorological observatory Cévennes-Vivarais (southeastern France)

et al. 2014

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Abstract. The Mediterranean hydrometeorological observatory Cévennes-Vivarais (OHM-CV) coordinates hydrometeorological observations (radars, rain gauges, water level stations) on a regional scale in southeastern France. In the framework of OHM-CV, temporary GPS measurements have been carried out for 2 months in autumn 2002, when the heaviest rainfall are expected. These measurements increase the spatial density of the existing permanent GPS network, by adding three more receivers between the Mediterranean coast and the Cévennes-Vivarais range to monitor maritime source of water vapour flow feeding the precipitating systems over the Cévennes-Vivarais region. In addition, a local network of 18 receivers covered an area of 30 by 30 km within the field of view of the meteorological radar. These regional and local networks of permanent and temporary stations are used to monitor the precipitable water vapour (PWV) with high temporal resolution (15 min). Also, the dense local network provided data which have been inverted using tomographic techniques to obtain the 3-D field of tropospheric water vapour content. This study presents methodological tests for retrieving GPS tropospheric observations from dense networks, with the aim of assessing the uncertainties of GPS retrievals. Using optimal tropospheric GPS retrieval methods, high resolution measurements of PWV on a local scale (a few kilometres) are discussed for rain events. Finally, the results of 3-D fields of water vapour densities from GPS tomography are analysed with respect to precipitation fields derived from a meteorological radar, showing a good correlation between precipitation and water vapour depletion areas.

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“…While initially these data sets were used to analyze meteorological phenomena (Brenot et al 2006;Labbouz et al 2013), long-term investigations employing IWV estimates using up to 20 years of GPS solutions became possible (Vey et al 2009). Nevertheless, the trend and its error estimated considering the stochastic properties of data is still a major source of uncertainty to understand the global climate system.…”

Section: Introductionmentioning

confidence: 99%

Statistical significance of trends in Zenith Wet Delay from re-processed GPS solutions

et al. 2018

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Long series of Zenith Wet Delay (ZWD) obtained as part of a homogeneous re-processing of Global Positioning System solutions constitute a reliable set of data to be assimilated into climate models. The correct stochastic properties, i.e. the noise model of these data, have to be identified to assess the real value of ZWD trend uncertainties since assuming an inappropriate noise model may lead to over-or underestimated error bounds leading to statistically insignificant trends. We present the ZWD time series for 1995-2017 for 120 selected globally distributed stations. The deterministic model in the form of a trend and significant seasonal signals were removed prior to the noise analysis. We examined different stochastic models and compared them to widely assumed white noise (WN). A combination of the autoregressive process of first-order plus WN (AR(1) + WN) was proven to be the preferred stochastic representation of the ZWD time series over the generally assumed white-noise-only approach. We found that for 103 out of 120 considered stations, the AR(1) process contributed to the AR(1) + WN model in more than 50% with noise amplitudes between 9 and 68 mm. As soon as the AR(1) + WN model was employed, 43 trend estimates became statistically insignificant, compared to 5 insignificant trend estimates for a white-noise-only model. We also found that the ZWD trend uncertainty may be underestimated by 5-14 times with median value of 8 using the white-noise-only assumption. Therefore, we recommend that AR(1) + WN model is employed before tropospheric trends are to be determined with the greatest reliability.

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Precipitation on the lee side of the Vosges Mountains: Multi-instrumental study of one case from the COPS campaign

Cited by 24 publications

References 47 publications

Review of the state of the art and future prospects of the ground-based GNSS meteorology in Europe

Review of the state of the art and future prospects of the ground-based GNSS meteorology in Europe

A GPS network for tropospheric tomography in the framework of the Mediterranean hydrometeorological observatory Cévennes-Vivarais (southeastern France)

Statistical significance of trends in Zenith Wet Delay from re-processed GPS solutions

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