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Water

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EcoSar Publications

2011

Fatoyinbo, T., Rincon R. F., Sun G., & Ranson K. J. (2011).  Ecosar: A P- band digital beamforming Polarimetric Interferometric SAR instrument to measure ecosystem structure and biomass. Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International. 1524 - 1527.

Field Campaigns

•HBG 111 team operated the GSFC SLAP airborne soil moisture sensor in Spain to participate in the LIAISE irrigation study during its two-week special observation period (SOP)

•Nine science flights were flown during the SOP to capture soil conditions during planetary boundary layer formation

•Flights were coordinated with the LIAISE science team, who operated in situ soil sensors, flux towers, tethered balloons, and radiosondes from multiple locations in the science target area

April 2014

IPHEx [Integrated Precipitation and Hydrology Experiment] is a ground validation campaign focused in the southern Appalachian Mountains. The campaign closely followed the launch of NASA's Global Precipitaiton Measurement Mission (GPM) Core satellite in early 2014.

August 2006

NASA African Monsoon Multidisciplinary Analyses

Date Range: 

Tuesday, August 1, 2006 to Friday, September 1, 2006

Space Missions

SeaWiFS

The purpose of the Sea-viewing Wide Field-of-view Sensor (SeaWiFS; 1997-2010) Project is to provide quantitative data on global ocean bio-optical properties to the Earth science community. Subtle changes in ocean color signify various types and quantities of marine phytoplankton (microscopic marine plants), the knowledge of which has both scientific and practical applications. The SeaWiFS Project will develop and operate a research data system that will process, calibrate, validate, archive and distribute data received from an Earth-orbiting ocean color sensor.

aqua
Launch

Aqua, Latin for water, is a NASA Earth Science satellite mission named for the large amount of information that the mission is collecting about the Earth's water cycle, including evaporation from the oceans, water vapor in the atmosphere, clouds, precipitation, soil moisture, sea ice, land ice, and snow cover on the land and ice.

Research Areas

Data Files

The Aura Validation Data Center (AVDC) is a centralized, long-term, archive for validation data hosted by the Atmospheric Chemistry and Dynamics Branch at the National Aeronautics and Space Administration (NASA) Goddard Space Flight Center (GSFC) in Greenbelt, Maryland.

Instruments

The Scanning L-band Active Passive (SLAP) instrument includes both a radiometer (passive microwave) and radar, operating with the same frequencies, polarizations, and conical scan geometry similar to that of the SMAP (Soil Moisture Active Passive) space mission. The SLAP radiometer operates at 1.4 GHz and features the same fully polarimetric observations with similar radio frequency interference (RFI) detection and mitigation capabilities as the SMAP radiometer.

Organizations:

SLAP consists of three separate instruments colocated on a scanning airborne platform, a passive radiometer, an active scatterometer (radar), and a thermal infrared sensor. The three instruments make coincident measurements and have similar footprints on the ground. The instrument platform uses a conical scanning geometry similar to that of the Soil Moisture Active Passive (SMAP) satellite mission.

Organizations:

Extending the success of the SMART mobile facility, COMMIT was built in 2006 as the companion in-situ observatory for studying basic chemical, optical and microphysical properties of atmospheric aerosols and trace gases. Like SMART, all COMMIT instruments are integrated in a twenty-foot weather-sealed trailer with thermostatic temperature control.

Organizations:

Models

The Goddard Cumulus Ensemble (GCE) model, a cloud resolving model (CRM), has been developed and improved at NASA Goddard Space Flight Center over the past two decades.

Clouds and precipitation are highly coupled with land surface on the timescales of days to months, which challenges current weather and climate prediction models. High-resolution cloud models, coupled with land surface models, can address this process explicitly.

Microphysical (cloud) processes developed at NASA Goddard were implemented into a next generation of weather forecast model (e.g. WRF).