An Improved Method for Calculating Tropospheric Temperature and Moisture from Satellite Radiometer Measurements
نویسنده
چکیده
An improved method for calculating tropospheric temperature and moisture from satellite radiometer measurements is developed. The troposphere is modeled by two temperature lapse rates and a single moisture lapse rate. These lapse rates as well as an optimum pressure level for dividing the two layers of constant lapse rate and surface temperature are calculated from three observations in the 1 5 p COz band, an observation in the rotational water vapor band, and an observation in the l l p window region. Radiances observed by a balloon-borne interferometer were used to approximate filtered radiometer measurements. Solutions for tropospheric temperature and moisture from the approximated radiometer observations are shown to agree favorably with radiosonde observations for both clear and partly cloudy conditions. The computations required are only 10 percent of those required by a previously developed method.
منابع مشابه
An Iterative Method for Deducing Tropospheric Temperature and Moisture Profiles from Satellite Radiation Measurements
An iterative method for deducing the general temperature and moisture structure of the troposphere from satellite radiation measurements of medium spectral resolution is described. The temperature and moisture profiles derived from simulated and radiometrically observed radiances, pertaining t o clear atmospheres, are shown to agree favorably with the radiosonde profiles. The method is expanded...
متن کاملAccuracy Improvement of Tropospheric Delay Interpolation in RTK Networks
The effect of troposphere on the signals emitted from global navigation satellite system (GNSS) satellites, appears as an extra delay in the measurement of the signal traveling from the satellite to receiver. This delay depends on the temperature, pressure, humidity as well as the transmitter and receiver antennas location. In GNSS positioning, tropospheric delay effects on accuracy of differen...
متن کاملEstimation and Analysis of Precipitable Water Vapor Using GPS Data and Satellite Altimeter
Determination of water vapor in the atmosphere plays an important role in forecasting weather conditions and precipitation studies. For this reason, it is very important to study the tropospheric delay, especially the wet component, which is due to the presence of water vapor in the atmosphere. In this paper, the amount of water vapor was estimated by altimeter satellite radiometer and GPS data...
متن کاملSpatially and Temporally Complete Satellite Soil Moisture Data Based on a Data Assimilation Method
Multiple soil moisture products have been generated from data acquired by satellite. However, these satellite soil moisture products are not spatially or temporally complete, primarily due to track changes, radio-frequency interference, dense vegetation, and frozen soil. These deficiencies limit the application of soil moisture in land surface process simulation, climatic modeling, and global c...
متن کاملRecovery of Soil Moisture Active Passive (SMAP) Instrument’s Active Measurements via Coupled Dictionary Learning
NASA’s Soil Moisture Active Passive (SMAP) satellite mission combines a passive L-band radiometer and an active Synthetic Aperture Radar (SAR) instrument in order to monitor the near-surface soil moisture and freeze-thaw states globally, with a revisit frequency of 23 days. SMAP provides three soil moisture products: a high-resolution from the radar, a low-resolution from the radiometer, and an...
متن کامل