Cooperative Institute for Climate & Satellites - Maryland

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Research Topics:

Data Fusion and Algorithm Development
Calibration and Validation
Surface Observation Networks
Future Satellite Programs
Scientific Support of the GOES-R Mission
Scientific Support of the JPSS Mission
Climate Research, Data Assimilation, and Modeling
Climate Data & Information Records/Scientific Data Stewardship
Land and Hydrology
Earth System Modeling from Satellites
National Climate Assessments
Environmental Decision Support Science
Geographical Sciences
Results: 71 Articles found.

Contributions to the Microwave-Radar Enhanced (MW-RE) Precipitation Over Land Algorithm

The before-launch GPM GPROF database for over land was constructed.

Research Topics: Data Fusion and Algorithm Development
Task Leader: Nai-Yu Wang
CICS Scientist: Nai-Yu Wang
Sponsor: NESDIS STAR CRPD SCSB
Published Date: 7/25/2014

Improving GOES-R Cloud Precipitation Products Associated with Deep Convective Systems by using NEXRAD Radar Network over Continental U.S.

By integrating the space-borne and ground-based radar classification technique with satellite cloud property retrievals, we are developing a satellite-microphysics-based cloud classification to improve the current IR-based precipitation retrieval algorithm.  Satellite-microphysics-based cloud classifications are evaluated against aircraft in situ data and ground-based retrievals, while IR-based precipitation retrievals are evaluated with ground-based radar estimates.

Research Topics: Data Fusion and Algorithm Development
Task Leader: Zhanqing Li
Sponsor: NESDIS STAR
Published Date: 7/25/2014

Development of the Satellite Sea-Surface Salinity Quality Monitor System

We are developing the Satellite Sea Surface Salinity Quality Monitor (4SQM) system. In this system, satellite data will be monitored for self- and cross-platform consistency, as well as consistency with in situ data.

Research Topics: Calibration and Validation
Task Leader: Li Ren
CICS Scientist: Li Ren
Sponsor: NESDIS STAR
Published Date: 7/24/2014

Developing Calibration Data Quality Monitoring Tools for GOES-R Advanced Baseline Imager (ABI) L1B in support of the Calibration Working Group

CICS scientists are developing calibration data quality monitoring tool to support Calibration and Validation work for GOES-R Advanced Baseline Imager (ABI) instrument, to facilitate the diagnosis of instrument problems, and to better serve the user community.

Research Topics: Calibration and Validation
Task Leader: Xi Shao
CICS Scientist: Xi Shao
Sponsor: NESDIS STAR SMCD SCDAB
Published Date: 7/24/2014

Analyzing AVIRIS Data to Support GOES-R Calibration Working Group (CWG)

A graduate student, Scott Ozog, from Department of Atmospheric and Oceanic Science of UMD is supported to develop tools to performaccurate retrieval of surface reflectance in AVIRIS scene and validation and calibration of the reflectance products with ground measurements.This supports the post-launch vicarious calibration of GOES-R ABI instrument.

Research Topics: Calibration and Validation
Task Leader: Xi Shao
CICS Scientist: Scott Ozog
Sponsor: NESDIS GOESPO
Published Date: 7/24/2014
Results: 71 Articles found.
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