Realization of global empirical model for mapping zenith wet delays onto precipitable water using NCEP re-analysis data

Chen, Peng; Yao, Wanqiang; Zhu, Xulong

doi:10.1093/gji/ggu223

Cited by 29 publications

(30 citation statements)

References 13 publications

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“…This finding is consistent with recent studies, (e.g. He et al, 2013;Chen et al, 2014;Yao et al, 2014a). It may be explained by the fact that the T m on the pressure levels under the terrain of Antarctica (∼ 6 km) may contain large systematic biases caused by the extrapolation of actual meteorological records.…”

Section: Comparison With Ncep2 Datasupporting

confidence: 92%

“…Annual and semi-annual variations in a NCEP2-derived T m time series for a reference location can be detected using the spectrum analysis (Chen et al, 2014). Although simple sine and cosine functions have been widely used to model the diurnal variations of T m , few studies have been conducted to analyse the periodic nature of the diurnal variation in T m .…”

Section: Diurnal Variationmentioning

confidence: 99%

“…The accuracies of these models claimed in relevant literature are referenced to different reference values (e.g. He et al, 2013;Chen et al, 2014; et al, 2014a). Consequently, cross comparisons of these accuracy values for their performance may not be appropriate.…”

Section: Validation Of T M Modelsmentioning

confidence: 99%

“…In the later GWMT-IV model, the T m lapse rate is considered as a function of geodetic coordinates instead of a constant value adopted in the former models (He et al, 2013). In a study by Chen et al (2014), the non-linear model in GTm-III was expressed into a linear one and developed it further into GTm_N. Unlike the spherical harmonics applied in GTm_N, Chen and Yao (2015) developed the GTm-X model based on the semiannual and diurnal variations in T m with a global resolution of a 1 • × 1 • geographical grid.…”

Section: Introductionmentioning

confidence: 99%

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A new voxel-based model for the determination of atmospheric weighted mean temperature in GPS atmospheric sounding

Hé

Wang

et al. 2017

Atmos. Meas. Tech.

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Abstract. The Global Positioning System (GPS) is a powerful atmospheric observing system for determining precipitable water vapour (PWV). In the detection of PWV using GPS, the atmospheric weighted mean temperature (T m ) is a crucial parameter for the conversion of zenith tropospheric delay (ZTD) to PWV since the quality of PWV is affected by the accuracy of T m . In this study, an improved voxel-based T m model, named GWMT-D, was developed using global reanalysis data over a 4-year period from 2010 to 2013 provided by the United States National Centers for Environmental Prediction (NCEP). The performance of GWMT-D was assessed against three existing empirical T m models -GTm-III, GWMT-IV, and GTm_N -using different data sources in 2014 -the NCEP reanalysis data, surface T m data provided by Global Geodetic Observing System and radiosonde measurements. The results show that the new GWMT-D model outperforms all the other three models with a root-meansquare error of less than 5.0 K at different altitudes over the globe. The new GWMT-D model can provide a practical alternative T m determination method in real-time GPS-PWV remote sensing systems.

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Section: Comparison With Ncep2 Datasupporting

confidence: 92%

Section: Diurnal Variationmentioning

confidence: 99%

Section: Validation Of T M Modelsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A new voxel-based model for the determination of atmospheric weighted mean temperature in GPS atmospheric sounding

Hé

Wang

et al. 2017

Atmos. Meas. Tech.

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“…(2) Several global empirical models of Tm are established based on analyses of Tm time series from NWP datasets or other sources (Chen et al, 2014;Yao et al, 2012;Bohm et al, 2015). Tm at any time and any location can be estimated from these models independent of real meteorological observations.…”

mentioning

confidence: 99%

Development of time-varying global gridded Ts-Tm model for precise GPS-PWV retrieval

Jiang¹,

Ye²,

Lu³

et al. 2018

Preprint

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Water-vapor-weighted mean temperature, Tm, is the key variable to estimate mapping factor between GPS zenith wet delay (ZWD) and precipitable water vapor (PWV). In near real-time GPS-PWV retrieving, estimating Tm from surface air 10 temperature Ts is a widely used method because of its high temporal resolution and a fair degree of accuracy. Based on the Tm estimates and the extracted Ts parameters at each reanalysis grid node, analyses of the relationship between Tm and Ts were performed without smoothing of data which will produce superior results than other similar studies. Analyses demonstrate that

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GPS PPP‐derived precipitable water vapor retrieval based on T_m/P_s from multiple sources of meteorological data sets in China

Zhang

Yuan

et al. 2017

JGR Atmospheres

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Weighted mean temperature (Tm) and pressure (Ps) are two parameters of great relevance to precipitable water vapor (PWV) retrieval from global positioning system (GPS) data. However, information about the Tm and Ps cannot be available for those GPS stations that are not colocated with meteorological sensors. To investigate the optimal GPS‐PWV retrieval method for China, two enhanced Tm models, GM‐Tm (temperature dependent) and GH‐Tm (temperature independent), are developed. Additionally, the potentials of the Ps data from the two reanalysis data sets, the National Centers for Environmental Prediction (NCEP)‐Department of Energy (DOE) Reanalysis II (NCEP II) and ERA‐Interim, and from the empirical model GPT2w for GPS‐PWV retrieval are investigated over China. To evaluate the performances of multisources Tm and Ps data for GPS‐PWV retrieval, GPS data (2011–2013) collected from 22 stations of the Crustal Movement Observation Network of China (CMONOC) were processed by using the precise point positioning (PPP) technique, estimating the zenith tropospheric delay (ZTD) so as to be subsequently converted to GPS‐PWV. The retrieved GPS‐PWVs are compared with their counterparts derived from NCEP II and radiosonde data over China. The results show that (1) the GM‐Tm model consistently shows the highest accuracy (with root mean square error of 2.3 K), and the GH‐Tm model should be selected when temperature observations are not available, and that (2) the performances of Ps from NCEP II and ERA‐Interim differ marginally for GPS‐PWV retrieval, and significant seasonal variations are found in the agreement between the GPS‐PWVs and the PWVs derived from NCEP II and radiosonde data over China.

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Realization of global empirical model for mapping zenith wet delays onto precipitable water using NCEP re-analysis data

Cited by 29 publications

References 13 publications

A new voxel-based model for the determination of atmospheric weighted mean temperature in GPS atmospheric sounding

A new voxel-based model for the determination of atmospheric weighted mean temperature in GPS atmospheric sounding

Development of time-varying global gridded Ts-Tm model for precise GPS-PWV retrieval

GPS PPP‐derived precipitable water vapor retrieval based on T_m/P_s from multiple sources of meteorological data sets in China

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Realization of global empirical model for mapping zenith wet delays onto precipitable water using NCEP re-analysis data

Cited by 29 publications

References 13 publications

A new voxel-based model for the determination of atmospheric weighted mean temperature in GPS atmospheric sounding

A new voxel-based model for the determination of atmospheric weighted mean temperature in GPS atmospheric sounding

Development of time-varying global gridded Ts-Tm model for precise GPS-PWV retrieval

GPS PPP‐derived precipitable water vapor retrieval based on Tm/Ps from multiple sources of meteorological data sets in China

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GPS PPP‐derived precipitable water vapor retrieval based on T_m/P_s from multiple sources of meteorological data sets in China