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Friday, March 29, 2024

A Prototype Robotic Ground-based Cal/Val System

Under a CISESS Seed Grant, Xi Shao and his colleagues at the CISESS Remote Sensing Lab built a Robotic Ground-based Cal/Val System and used it in a field campaign for JPSS/VIRS and GOES-R/ABI validation.

Friday, March 29, 2024

New Satellite Error Simulator Released

SatERR is a community error inventory for satellite microwave observation error representation and uncertainty quantification, described by John Xun Yang and his co-authors in a new publication.

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SSMIS F18 bakcgorund with/without the bias correction

Observing System Simulation Experiments (OSSEs)

The CICS-MD OSSE Project led by Kayo Ide is currently using the operational 3D-hybrid data assimilation system in two different ways: (1) Observing System Experiments (OSEs) using real observations, to investigate the impact of hyperspectral IR sensors (IAS, CR, CrIS, and AIRS); and (2) Observing System Simulation Experiments (OSSEs) using simulated observations, to investigate the impact of the geostationary microwave observations.

Soil Moisture Operational Product System (SMOPS)

Soil Moisture Operational Product System (SMOPS): AMSR2 Contributions

The GCOM-W1 AMSR2 soil moisture product developed by CICS-MD Scientist Jicheng Liu and his team will play a significant role in the NOAA Soil Moisture Operational Product System (SMOPS), a blended product designed to produce “one-stop shopping” for all operational soil moisture products from different satellite sensors.

Land Surface Albedo

Improving Surface Albedo Estimation with VIIRS data

CICS-MD Scientists Dongdong Wang, Shunlin Liang, and Yuan Zhou improved the direct estimation algorithm to retrieve land surface albedo from VIIRS by considering surface anisotropy, impacts of aerosol type, and land cover type.

Results: 124 Articles found.

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