Atmospheric Water Vapor Pressure over Land Surfaces: A Generic Algorithm with Data Input Limited to Air Temperature, Precipitation and Geographic Location

1999 ◽  
Vol 63 (3-4) ◽  
pp. 183-194 ◽  
Author(s):  
X. Yin
Keyword(s):  
Water Vapor ◽  
Vapor Pressure ◽  
Air Temperature ◽  
Water Vapor Pressure ◽  
Geographic Location ◽  
Atmospheric Water Vapor ◽  
Data Input ◽  
Atmospheric Water ◽  
Generic Algorithm ◽  
Land Surfaces

scholarly journals Estimating of total atmospheric water vapor content from MSG1-SEVIRI observations

2015 ◽  
Vol 8 (8) ◽  
pp. 8903-8923 ◽  
Author(s):  
A. Labbi ◽  
A. Mokhnache
Keyword(s):  
Water Vapor ◽  
Geographic Location ◽  
Water Vapor Content ◽  
Atmospheric Water Vapor ◽  
Radiosonde Data ◽  
Atmospheric Water ◽  
Ancillary Data ◽  
Climate Change Research ◽  
Quadratic Formula ◽  
The One

Abstract. In this work, we proposed a methodology to estimate total atmospheric water vapor content (TAWV) from observations of the Spinning Enhanced Visible and Infrared Imager (SEVIRI) on board the first Meteosat Second Generation satellite (MSG1). The method used is called the split-window technique which requires only the data from the channels IR10.8 and IR12, therefore this method not requires any ancillary data. This method is based on the MSG1 observations of the same geographic location over land at two slightly different times during a period when the ground temperature is changing rapidly. The main contribution of the present work is to consider that the relationship between TAWV and the ratio of the two split-window channel transmittances (τ12/τ10.8) is a quadratic formula, this assumption is based on the "Roberts" approach simulations using MSG1-SEVIRI filter response functions for a 2311 atmospheric situations from the TIGR dataset. For validation, we have examined the accuracy of the TAWV estimated in this work by comparison with the data obtained from radiosonde and from aerosol robotic network (AERONET). On the one hand, the comparison with the radiosonde data show that the root mean square error (RMSE) equals 0.66 g cm−2, the standard deviation (SD) equals 0.59 g cm−2 and the correlation coefficient (R) equals 0.79. On the other hand, the comparison with the AERONET data show that the RMSE equals 0.42 g cm−2, the SD equals 0.29 g cm−2 and the R equals 0.82. Also, the comparison with another method demonstrates that the spatial variation of TAWV here is reasonable. We have concluded in this study that the TAWV can be determined from the MSG1-SEVIRI observations with accuracy acceptable which can be used for climate change research.

scholarly journals Study on Remote Sensing Inversion of Atmospheric Water Vapor Content Based on FY3B/MERSI Data

2021 ◽  
Vol 257 ◽  
pp. 03068
Author(s):  
Jinwen Wu ◽  
Longyu Sun ◽  
Yushu Zhang ◽  
Ruipeng Ji ◽  
Wenying Yu ◽  
...  
Keyword(s):  
Climate Change ◽  
Water Vapor ◽  
Global Climate Change ◽  
Global Climate ◽  
Water Vapor Pressure ◽  
Water Vapor Content ◽  
Atmospheric Water Vapor ◽  
Pressure Data ◽  
Atmospheric Water ◽  
Vapor Pressure Data

Atmospheric water vapor plays a vital role in global climate change. It not only affects local weather and climate but also influences the global water cycle and energy balance. Therefore, an accurate understanding of the atmospheric water vapor content and its changes are of great importance for forecasting climate, understanding global climate change, and studying the greenhouse effect. In this paper, the inversion of atmospheric water vapor content was conducted by FY3B/MERSI data, and verification was made by comparing with the sounding data, ground water vapor pressure data, and AQUA/MODIS water vapor content data. The results show that FY3B/MERSI atmospheric water vapor content has a significant positive correlation with the sounding water vapor content, ground water vapor pressure data, and AQUA/MODIS water vapor content data. Among them, the correlation with the sounding water vapor content is the most significant. An inversion correction model of MERSI atmospheric water vapor content can be established to improve the inversion accuracy.

scholarly journals Exploring the Relationships of Atmospheric Water Vapor Contents and Different Land Surfaces in a Complex Terrain Area by Using Doppler Radar

Atmosphere ◽  
2021 ◽  
Vol 12 (5) ◽  
pp. 528
Author(s):  
Hezhen Lou ◽  
Jun Zhang ◽  
Shengtian Yang ◽  
Mingyong Cai ◽  
Xiaoyu Ren ◽  
...  
Keyword(s):  
Water Vapor ◽  
Complex Terrain ◽  
Doppler Radar ◽  
Extreme Values ◽  
Atmospheric Water Vapor ◽  
Atmospheric Water ◽  
Uniform Distributions ◽  
High Resolution Radar ◽  
Land Surfaces ◽  
Planning And Construction

Changes in atmospheric water vapor mainly occur in the atmospheric boundary layer. However, due to many factors, such as orography and ground thermal dynamic conditions, the change trends and transformation law of atmospheric water vapor contents above different surfaces are still unclear. In this work, a Doppler weather radar with high spatial-temporal resolution was used to monitor the variations and transformations of water vapor contents over different land surfaces for two years. The results show that the atmospheric water vapor content shows a very good positive correlation with elevation at altitudes between 600 m and 1200 m, while different land surfaces have delicate impacts on atmospheric water vapor contents, such as extreme values appearing above impervious urban surfaces, uniform distributions appearing over water body and vegetated surfaces being wet but avoiding extreme conditions. Compared with previous studies, the results and conclusions of this study are mainly derived from accurate direct observations based on high-resolution radar. Identifying the distribution and transformation of water vapor over different surfaces can enhance our understanding of the movement and variation of atmospheric water vapor over complex terrain and different land surfaces, and improve the planning and construction capacity of different surfaces, such that humankind can mitigate the severe disasters caused by drastic changes in atmospheric water vapor.

scholarly journals Remote Sensing of Atmospheric Water Vapor Using the Moderate Resolution Imaging Spectroradiometer

2005 ◽  
Vol 22 (3) ◽  
pp. 309-314 ◽  
Author(s):  
P. Albert ◽  
R. Bennartz ◽  
R. Preusker ◽  
R. Leinweber ◽  
J. Fischer
Keyword(s):  
Water Vapor ◽  
Great Plains ◽  
Atmospheric Water Vapor ◽  
Atmospheric Water ◽  
Southern Great Plains ◽  
Moderate Resolution ◽  
Atmospheric Radiation Measurement ◽  
Resolution Imaging ◽  
Moderate Resolution Imaging Spectroradiometer ◽  
Land Surfaces

Abstract This paper presents first validation results for an algorithm developed for the retrieval of integrated columnar water vapor from measurements of the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument on board the polar-orbiting Terra and Aqua platforms. The algorithm is based on the absorption of reflected solar radiation by atmospheric water vapor and allows the retrieval of integrated water vapor above cloud-free land surfaces. A comparison of the retrieved water vapor with measurements of the Microwave Water Radiometer at the Atmospheric Radiation Measurement (ARM) Southern Great Plains (SGP) site for a 10-month period in 2002 showed an rms deviation of 1.7 kg m−2 and a bias of 0.6 kg m−2. A comparison with radio soundings in central Europe from July 2002 to April 2003 showed an rms deviation of 2 kg m−2 and a bias of −0.8 kg m−2.

scholarly journals Profiling of atmospheric water vapor with MIR and LASE

2002 ◽  
Vol 40 (6) ◽  
pp. 1211-1219 ◽  
Author(s):  
J.R. Wang ◽  
P. Racette ◽  
M.E. Triesky ◽  
E.V. Browell ◽  
S. Ismail ◽  
...  
Keyword(s):  
Water Vapor ◽  
Atmospheric Water Vapor ◽  
Atmospheric Water
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