Soil moisture is one of the most important variables that influences the soil-vegetation-atmosphere fluxes. This is particularly true over the Sahelian region, soil moisture has an important feedback on precipitation. It is particularly difficult to access to soil moisture values because its high temporal and spatial variability. Different approaches exist, but microwave remote sensing is the m...

The Soil Moisture and Ocean Salinity (SMOS) mission is an Earth Explorer Opportunity mission from the European Space Agency (ESA). Its goal is to produce global maps of soil moisture and ocean salinity using the Microwave Imaging Radiometer by Aperture Synthesis (MIRAS). The purpose of the Passive Advanced Unit Synthetic Aperture (PAU-SA) instrument is to study and test some potential improveme...

A suite of sensors scheduled to fly onboard the NPOESS Preparatory Project (NPP) satellite in 2010 will both continue and improve the environmental data records provided by operational and research missions over the last 40 years. The Cross-track Infrared and Microwave Sounding Suite (CrIMSS), consisting of the Cross-track Infrared Sounder (CrIS) and the first space-based, Nyquist-sampled cross...

Total precipitable water (TPW), the amount of water vapor in a column from the surface of the earth to space, is used by forecasters to predict heavy precipitation. In this paper, a process for blending TPW values retrieved from two satellite sources is detailed: the Advanced Microwave Sounding Unit (AMSU) instruments on three NOAA satellites, and the Special Sensor Microwave Imager (SSM/I) ins...

Diurnal pulse (outward propagating signal) is a prominent feature in tropical cyclones (TCs) and closely related to TC structure intensity. It elusive whether the diurnal deep convectively coupled what influence on (daily) mean structure. This study addresses these outstanding problems using long-term satellite precipitation, infrared, microwave data. of precipitation occurs ∼50% days, frequenc...

Passivemicrowave radiometer data over the ocean have beenwidely used, but data near coastlines or over lakes often cannot be used because of the large footprint with mixed signals from both land and water. For example, current standard Special Sensor Microwave Imager (SSM/I) products, including wind, water vapor, and precipitation, are typically unavailable within about 100km of any coastline. ...

The objective of this research is to develop theoretical models that are useful and practical in the remdte sensing of the earth environmect including the earth terrain, the lower and the upper atmospheres. We have been very successful in developing various models applicable to the microwave remote sensing of vegetation, snow-ice, m d atmospheric precipitation. We shall extend such studies to t...

The sensitivity of Earth’s wetlands to observed shifts in global precipitation and temperature patterns and their ability to produce large quantities of methane gas are key global change questions. We present a microwave satellite-based approach for mapping fractional surface water (FW) globally at 25-km resolution. The approach employs a land cover-supported, atmospherically-corrected dynamic ...

Characterization of the error associated with satellite rainfall estimates is a necessary component of deterministic and probabilistic frameworks involving spaceborne passive and active microwave measurements for applications ranging from water budget studies to forecasting natural hazards related to extreme rainfall events. The authors focus here on the error structure of NASA’s Tropical Rainf...

This study focuses on improving the retrieval of rain from measured microwave brightness temperatures and the capability of the retrieved field to represent the mesoscale structure of a small intense hurricane. For this study, a database is constructed from collocated Tropical Rainfall Measuring Mission (TRMM) precipitation radar (PR) and the TRMM Microwave Imager (TMI) data resulting in about ...