Reconstruction of the vertical profile of the water vapor content in the troposphere based on data from multi-GNSS observations

The content and distribution of water vapor in the Earth’s atmosphere are related to various weather conditions and climatic processes, and are therefore important for understanding many meteorological phenomena. At the current stage of development and formation of Global Navigation Satellite Systems (GNSS), the distribution of water vapor content can be established using such observations from GNSS tomography, which, in turn, allows to study changes in the vertical profile of water vapor content in the Earth’s troposphere. In troposphere GNSS tomography, accurate information on the distribution of water vapor is obtained using integrated measurements, such as the water vapor content value in the slant direction (Slant Water Vapor, SWV). The essence of the problem of troposphere GNSS tomography is the solution of equations system, the number of which is limited by the number of satellites involved in observations. In this case, the functional relationship between observations and unknowns, in the pathways of GNSS signals through the troposphere, must be known in sufficient numbers. However, today there is a problem of lack of such information, which leads to the main problem of the troposphere GNSS-tomography method – overcoming the deficit of rank in the inversion of the original equation. This problem can be solved by increasing the number of satellite signals in a wide range of positions. The purpose of this work is to maximize the use ofGNSS signals inmodeling tomographic solutions based on data simulation. Method. Based on the developed method of multi-GNSS observations data processing by the PPP method, an algorithm of the procedure of simulation of additional satellites in tomographic modeling in order to overcome the problems of rank deficit is proposed. Results. The results of application of the data simulation procedure for the vertical profile of water vapor content in the Earth’s troposphere are presented based on the results of processingGNSS observations at the GANP station (Poprad, Slovakia) in the period from 31.05.2019 to 1.06.2019. Scientific novelty and practical significance. For the first time, an algorithm for the procedure of additional satellites simulation was proposed in order to overcome the problems of rank deficit in the tomographic modeling.

Download Full-text

Differential Radiometric Methods for Measurements of the Vertical Profile of Water Vapor in the Troposphere and Stratosphere of the Earth

Izvestiya Atmospheric and Oceanic Physics ◽

10.1134/s0001433819090494 ◽

2019 ◽

Vol 55 (9) ◽

pp. 913-925

Author(s):

V. V. Sterlyadkin ◽

E. A. Sharkov

Keyword(s):

Water Vapor ◽

Vertical Profile ◽

The Earth

Download Full-text

Long-term variation of water vapor content and precipitation in the Haihe river basin

Journal of Water and Climate Change ◽

10.2166/wcc.2014.155 ◽

2014 ◽

Vol 6 (2) ◽

pp. 341-351 ◽

Cited By ~ 1

Author(s):

Chun Chang ◽

Ping Feng ◽

Fawen Li ◽

Yunming Gao

Keyword(s):

Water Vapor ◽

River Basin ◽

Reanalysis Data ◽

Water Vapor Content ◽

Haihe River Basin ◽

Haihe River ◽

Annual Water ◽

Environmental Prediction ◽

High Consistency ◽

The Haihe River Basin

Based on the Haihe river basin National Centers for Environmental Prediction/National Center for Atmospheric Research reanalysis data from 1948 to 2010 and the precipitation data of 53 hydrological stations during 1957–2010, this study analyzed the variation of water vapor content and precipitation, and investigated the correlation between them using several statistical methods. The results showed that the annual water vapor content decreased drastically from 1948 to 2010. It was comparatively high from the late 1940s to the late 1960s and depreciated from the early 1970s. From the southeast to the northwest of the Haihe river basin, there was a decrease in water vapor content. For vertical distribution, water vapor content from the ground to 700 hPa pressure level accounted for 72.9% of the whole atmospheric layer, which indicated that the water vapor of the Haihe river basin was mainly in the air close to the ground. The precipitation in the Haihe river basin during 1957–2010 decreased very slightly. According to the correlation analysis, the precipitation and water vapor content changes showed statistically positive correlation, in addition, their break points were both in the 1970s. Furthermore, the high consistency between the precipitation efficiency and precipitation demonstrates that water vapor content is one of the important factors in the formation of precipitation.

Download Full-text

Retrieval Accuracy Of Water Vapor Content And Bias-error Causes Of The Msr Aboard Mos-1

10.1109/igarss.1990.688619 ◽

2005 ◽

Cited By ~ 2

Author(s):

T. Ojima ◽

K. Maeda ◽

H. Satoh

Keyword(s):

Water Vapor ◽

Water Vapor Content ◽

Bias Error ◽

Retrieval Accuracy

Download Full-text

Constructing accurate maps of atmospheric water vapor by combining interferometric synthetic aperture radar and GNSS observations

Journal of Geophysical Research Atmospheres ◽

10.1002/2014jd022419 ◽

2015 ◽

Vol 120 (4) ◽

pp. 1391-1403 ◽

Cited By ~ 18

Author(s):

Fadwa Alshawaf ◽

Stefan Hinz ◽

Michael Mayer ◽

Franz J. Meyer

Keyword(s):

Water Vapor ◽

Synthetic Aperture Radar ◽

Atmospheric Water Vapor ◽

Synthetic Aperture ◽

Interferometric Synthetic Aperture Radar ◽

Atmospheric Water ◽

Gnss Observations ◽

Aperture Radar

Download Full-text

Effect of water vapor content during the solid state synthesis of manganese-doped magnesium fluoro-germanate phosphor on its chemistry and photoluminescent properties

Optical Materials ◽

10.1016/j.optmat.2019.109572 ◽

2020 ◽

Vol 99 ◽

pp. 109572 ◽

Cited By ~ 1

Author(s):

Amjad Ali ◽

Liudmyla M. Chepyga ◽

Laraib Sarfraz Khanzada ◽

Andres Osvet ◽

Christoph J. Brabec ◽

...

Keyword(s):

Water Vapor ◽

Solid State ◽

Water Vapor Content ◽

Solid State Synthesis ◽

Effect Of Water

Download Full-text

Contribution of permanent stations GPS data to estimate the water vapor content over Algeria

Arabian Journal of Geosciences ◽

10.1007/s12517-019-4226-2 ◽

2019 ◽

Vol 12 (3) ◽

Cited By ~ 1

Author(s):

Hassen Abdellaoui ◽

Naima Zaourar ◽

Salem Kahlouche

Keyword(s):

Water Vapor ◽

Water Vapor Content ◽

Gps Data

Download Full-text

Aerosol hygroscopic growth, contributing factors, and impact on haze events in a severely polluted region in northern China

Atmospheric Chemistry and Physics ◽

10.5194/acp-19-1327-2019 ◽

2019 ◽

Vol 19 (2) ◽

pp. 1327-1342 ◽

Cited By ~ 18

Author(s):

Jun Chen ◽

Zhanqing Li ◽

Min Lv ◽

Yuying Wang ◽

Wei Wang ◽

...

Keyword(s):

Water Vapor ◽

Chemical Properties ◽

Water Vapor Content ◽

Growth Effect ◽

Chemical Components ◽

Hygroscopic Growth ◽

Contributing Factors ◽

Total Particulate Matter ◽

Size Category ◽

The Impact

Abstract. This study investigates the impact of the aerosol hygroscopic growth effect on haze events in Xingtai, a heavily polluted city in the central part of the North China Plain (NCP), using a large array of instruments measuring aerosol optical, physical, and chemical properties. Key instruments used and measurements made include the Raman lidar for atmospheric water vapor content and aerosol optical profiles, the PC-3016A GrayWolf six-channel handheld particle and mass meter for atmospheric total particulate matter (PM) that has diameters less than 1 and 2.5 µm (PM1 and PM2.5, respectively), the aerosol chemical speciation monitor (ACSM) for chemical components in PM1, and the hygroscopic tandem differential mobility analyzer (H-TDMA) for aerosol hygroscopicity. The changes in PM1 and PM2.5 agreed well with that of the water vapor content due to the aerosol hygroscopic growth effect. Two cases were selected to further analyze the effects of aerosol hygroscopic growth on haze events. The lidar-estimated hygroscopic enhancement factor for the aerosol backscattering coefficient during a relatively clean period (Case I) was lower than that during a pollution event (Case II) with similar relative humidity (RH) levels of 80 %–91 %. The Kasten model was used to fit the aerosol optical hygroscopic growth factor (GF) whose parameter b differed considerably between the two cases, i.e., 0.1000 (Case I) versus 0.9346 (Case II). The aerosol acidity value calculated from ACSM data for Case I (1.35) was less than that for Case II (1.50) due to different amounts of inorganics such as NH4NO3, NH4HSO4, and (NH4)2SO4. Model results based on H-TDMA data showed that aerosol hygroscopic growth factors in each size category (40, 80, 110, 150, and 200 nm) at different RH levels (80 %–91 %) for Case I were lower than those for Case II. For similar ambient RH levels, the high content of nitrate facilitates the hygroscopic growth of aerosols, which may be a major factor contributing to heavy haze episodes in Xingtai.

Download Full-text