High-precision GNSS PWV retrieval using dense GNSS sites and in-situ meteorological observations for the evaluation of MERRA-2 and ERA5 reanalysis products over China

Huang, Liangke; Wang, Xin; Xiong, Si; Li, Junyu; Liu, Lilong; Mo, Zhixiang; Fu, Bolin; He, Hongchang

doi:10.1016/j.atmosres.2022.106247

Cited by 39 publications

(11 citation statements)

References 58 publications

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“…Since the MERRA-2 reanalysis data with the horizontal resolution of 0.5° × 0.625° (latitude × longitude) is used for modeling, the global region was first divided to obtain a grid consistent with the horizontal resolution of the MERRA-2 reanalysis data. The sliding window algorithm [40][41][42] is applied to obtain the tropospheric model parameters in the window.…”

Section: B Methodsmentioning

confidence: 99%

A Novel Global Grid Model for Atmospheric Weighted Mean Temperature in Real-Time GNSS Precipitable Water Vapor Sounding

Huang

Liu

Peng

et al. 2023

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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The atmospheric weighted mean temperature (Tm) is an important parameter in calculating the precipitable water vapor from Global Navigation Satellite System (GNSS) signals. As both GNSS positioning and GNSS precipitable water vapor detection require highprecision spatial and temporal resolutions for calculating Tm, high-precision modeling of Tm has gained widespread attention in recent years. The previous models for calculating Tm have the limitation of too many model parameters or single grid data. Therefore, this study presents a global high-precision Tm model (GGTm-H model) developed from the latest MERRA-2 (Modern-Era Retrospective Analysis for Research and Applications, version-2) atmospheric reanalysis data provided by United States National Aeronautics and Space Administration (NASA). The accuracy of GGTm-H model was verified by combining the MERRA-2 surface Tm data and 319 radiosonde data. The results highlighted that: (1) When the MERRA-2 Tm data was used as a reference value, the mean annual RMSE of the GGTm-H model was observed to be 2.72K. When compared with the Bevis model, GPT2w-5 and GPT2w-1 models, GGTm-H model showed an improvement of 1.5K, 0.33K, and 0.21K, respectively. (2) When the radiosonde data was used as a reference value, the mean bias and RMSE of the GGTm-H model were -0.41K and 3.82K, respectively. Compared with the other models, the GGTm-H model had the lowest mean annual bias and RMSE. The developed model does not consider any meteorological parameters while calculating Tm. Therefore, it has important applications in the real-time and highprecision monitoring of precipitable water vapor from GNSS signal.

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Section: B Methodsmentioning

confidence: 99%

A Novel Global Grid Model for Atmospheric Weighted Mean Temperature in Real-Time GNSS Precipitable Water Vapor Sounding

Huang

Liu

Peng

et al. 2023

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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“…In order to evaluate the results, CAMS O 3 reanalysis data were also obtained (https://ads.atmosphere.copernicus.eu). Some meteorological factors including geopotential heights (Z ), temperature at 2 m (T ), relative humidity (RH) at 1,000 hPa and total cloud covers (TCC), planetary boundary layer height (PBLH), vertical velocity (W ), and wind (U,V ) were obtained from the European Center for Medium-Range Weather Forecasts (ECMWF, ERA5, https://cds.climate.copernicus.eu/) and had a resolution of 0.75° × 0.75° (Jiang et al, 2021;Zhu et al, 2021), and the meteorological fields of ERA5 reanalysis data compare well with MERRA reanalysis data in China (Huang et al, 2022).…”

Section: Data Descriptionmentioning

confidence: 99%

Composite Effects of ENSO and EASM on Summer Ozone Pollution in Two Regions of China

Gong

Chen

et al. 2022

JGR Atmospheres

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With the efforts to reduce anthropogenic emissions, the air quality in China has been gradually improving. In spite of the declining of PM 2.5 in recent years (Gong et al., 2021), O 3 pollution has become more prominent in air pollution, which has attracted widespread attention in China. Surface O 3 has not only impacts on human health (WHO, 2006), but also is harmful to crops due to its impact on the plant photosynthesis rate (Fuhrer & Booker, 2003;Tai et al., 2014). In the past, observational data indicated that summer O 3 concentration in China had increased from 2013 to 2017, especially in eastern China where O 3 was usually higher than that in other regions . As for the sub-regions in eastern China, the data observed by Mount Tai station in Shandong showed that the summer O 3 concentration in this region had been increasing from 2003 to 2015 (Sun et al., 2016). O 3 concentration in Beijing has also been increased significantly since 2006 (Cheng et al., 2019). It

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“…The terrain is high in the west and low in the east, which is distributed in a ladder-like manner. The first step of the terrain is southwest China, with an average altitude of more than 4500 m. The second step is central China, which has an average altitude of 1000-2000 m. The third step is eastern China, with an altitude of more than 500 m [27], [28]. In addition, China has a typical continental monsoon climate, with distinct dry and wet seasons and four diverse seasons.…”

Section: A Study Areamentioning

confidence: 99%

High-Precision ZTD Model of Altitude-Related Correction

Zhao

Jing

et al. 2023

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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High-precision GNSS PWV retrieval using dense GNSS sites and in-situ meteorological observations for the evaluation of MERRA-2 and ERA5 reanalysis products over China

Cited by 39 publications

References 58 publications

A Novel Global Grid Model for Atmospheric Weighted Mean Temperature in Real-Time GNSS Precipitable Water Vapor Sounding

A Novel Global Grid Model for Atmospheric Weighted Mean Temperature in Real-Time GNSS Precipitable Water Vapor Sounding

Composite Effects of ENSO and EASM on Summer Ozone Pollution in Two Regions of China

High-Precision ZTD Model of Altitude-Related Correction

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