scholarly journals On the use of GPS measurements for Moderate Resolution Imaging Spectrometer precipitable water vapor evaluation over southern Tibet

2011 ◽  
Vol 116 (D23) ◽  
pp. n/a-n/a ◽  
Author(s):  
Ning Lu ◽  
Jun Qin ◽  
Kun Yang ◽  
Yang Gao ◽  
Xiangde Xu ◽  
...  
Keyword(s):  
Water Vapor ◽  
Precipitable Water ◽  
Precipitable Water Vapor ◽  
Gps Measurements ◽  
Southern Tibet ◽  
Imaging Spectrometer ◽  
Moderate Resolution ◽  
Resolution Imaging

scholarly journals GPS Precipitable Water Vapor Estimations over Costa Rica: A Comparison against Atmospheric Sounding and Moderate Resolution Imaging Spectrometer (MODIS)

Climate ◽  
2019 ◽  
Vol 7 (5) ◽  
pp. 63 ◽  
Author(s):  
Polleth Campos-Arias ◽  
Germain Esquivel-Hernández ◽  
José Francisco Valverde-Calderón ◽  
Stephanie Rodríguez-Rosales ◽  
Jorge Moya-Zamora ◽  
...  
Keyword(s):  
Water Vapor ◽  
Costa Rica ◽  
Central America ◽  
Multiple Linear Regression Model ◽  
Precipitable Water ◽  
Precipitable Water Vapor ◽  
Imaging Spectrometer ◽  
Atmospheric Sounding ◽  
Moderate Resolution ◽  
Resolution Imaging

The quantification of water vapor in tropical regions like Central America is necessary to estimate the influence of climate change on its distribution and the formation of precipitation. This work reports daily estimations of precipitable water vapor (PWV) using Global Positioning System (GPS) delay data over the Pacific region of Costa Rica during 2017. The GPS PWV measurements were compared against atmospheric sounding and Moderate Resolution Imaging Spectrometer (MODIS) data. When GPS PWV was calculated, relatively small biases between the mean atmospheric temperatures (Tm) from atmospheric sounding and the Bevis equation were found. The seasonal PWV fluctuations were controlled by two of the main circulation processes in Central America: the northeast trade winds and the latitudinal migration of the Intertropical Convergence Zone (ITCZ). No significant statistical differences were found for MODIS Terra during the dry season with respect GPS-based calculations (p > 0.05). A multiple linear regression model constructed based on surface meteorological variables can predict the GPS-based measurements with an average relative bias of −0.02 ± 0.19 mm/day (R2 = 0.597). These first results are promising for incorporating GPS-based meteorological applications in Central America where the prevailing climatic conditions offer a unique scenario to study the influence of maritime moisture inputs on the seasonal water vapor distribution.

Evaluation of radiosonde, MODIS-NIR-Clear, and AERONET precipitable water vapor using IGS ground-based GPS measurements over China

2017 ◽  
Vol 197 ◽  
pp. 461-473 ◽  
Author(s):  
Ke Gui ◽  
Huizheng Che ◽  
Quanliang Chen ◽  
Zhaoliang Zeng ◽  
Haizhi Liu ◽  
...  
Keyword(s):  
Water Vapor ◽  
Precipitable Water ◽  
Precipitable Water Vapor ◽  
Gps Measurements

scholarly journals Observed HIRS and Aqua MODIS Thermal Infrared Moisture Determinations in the 2000s

2021 ◽  
Vol 13 (3) ◽  
pp. 502
Author(s):  
Eva E. Borbas ◽  
Paul W. Menzel
Keyword(s):  
Water Vapor ◽  
Precipitable Water ◽  
Precipitable Water Vapor ◽  
Statistical Regression ◽  
Absorption Bands ◽  
Mean Values ◽  
Brightness Temperatures ◽  
Spectral Bands ◽  
Infrared Spectral ◽  
Moderate Resolution

This paper compares the tropospheric moisture data records derived from High-resolution Infrared Radiation Sounder (HIRS) and Moderate Resolution Imaging Spectro-radiometer (MODIS) measurements from the years 2003 through 2013. Total Precipitable Water Vapor (TPW) and Upper Tropospheric Precipitable Water Vapor (UTPW) are derived using the infrared spectral bands in the CO2 and H2O absorption bands as well as in the atmospheric windows. Retrieval of TPW and UTPW uses a statistical regression algorithm performed using clear sky radiances (and Brightness Temperatures) measured over land and ocean for both day and night. The TPW and UTPW seasonal cycles of HIRS and MODIS observations are found to be in synchronization with zonal mean values for one degree latitude bands within 2.0 mm and 0.07 mm, respectively.

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