Global water vapor content decreases from 2003 to 2012: An analysis based on MODIS data

2017 ◽  
Vol 27 (1) ◽  
pp. 1-7 ◽  
Author(s):  
Kebiao Mao ◽  
Jingming Chen ◽  
Zhaoliang Li ◽  
Ying Ma ◽  
Yang Song ◽  
...  
Keyword(s):  
Water Vapor ◽  
Water Vapor Content ◽  
Modis Data ◽  
Global Water

scholarly journals An Advanced Radiative Transfer and Neural Network Scheme and Evaluation for Estimating Water Vapor Content from MODIS Data

Atmosphere ◽  
2017 ◽  
Vol 8 (12) ◽  
pp. 139 ◽  
Author(s):  
Kebiao Mao ◽  
Xinyi Shen ◽  
Zhiyuan Zuo ◽  
Ying Ma ◽  
Guang Liu ◽  
...  
Keyword(s):  
Neural Network ◽  
Water Vapor ◽  
Radiative Transfer ◽  
Water Vapor Content ◽  
Modis Data

scholarly journals Estimation of water vapor content in near-infrared bands around 1 μm from MODIS data by using RM–NN

2010 ◽  
Vol 18 (9) ◽  
pp. 9542 ◽  
Author(s):  
K. B. Mao ◽  
H. T. Li ◽  
D. Y. Hu ◽  
J. Wang ◽  
J. X. Huang ◽  
...  
Keyword(s):  
Water Vapor ◽  
Near Infrared ◽  
Water Vapor Content ◽  
Modis Data

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

2014 ◽  
Vol 6 (2) ◽  
pp. 341-351 ◽  
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.

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

2020 ◽  
Vol 99 ◽  
pp. 109572 ◽  
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

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

2019 ◽  
Vol 12 (3) ◽  
Author(s):  
Hassen Abdellaoui ◽  
Naima Zaourar ◽  
Salem Kahlouche
Keyword(s):  
Water Vapor ◽  
Water Vapor Content ◽  
Gps Data

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

2019 ◽  
Vol 19 (2) ◽  
pp. 1327-1342 ◽  
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.

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