Current Science and Applications Investigations

:: Project Science Investigations ::

Data Assimilation in Hurricane Forecast Models and Assessment of Skill Impact

  • Atlas, Robert – NOAA/AOML

Wetland Flood Inundation and Soil Moisture Cal/Val

  • Chew, Clara – UCAR

Development, Implementation and Performance Assessment of Level 2 Wind Speed Retrieval Algorithms

  • Clarizia, Maria Paola – DEIMOS

Development of Forward Model for Level 1 Science Data Product in Support of Data Assimilation Studies

  • Garrison, James – Purdue University

DDMI Calibration and Algorithm Development for Level 1 Science Data Products

  • Gleason, Scott – University Corporation for Atmospheric Research

Development of Alternate Wind Speed Retrieval Algorithms

  • Katzberg, Steve – MBO

Data Assimilation in Hurricane Forecast Models and Assessment of Skill Impact

  • Majumdar, Sharan – University of Miami

Science Team Cal/Val Coordinator and Science Operations Center Liaison

  • McKague, Darren – University of Michigan

Mission Extended Science Team Coordinator (Terrestrial)

  • Moghaddam, Mahta – USC

Development of End-to-End Simulator and On-Orbit Cal/Val

  • O’Brien, Andrew – Ohio State University

Mission Extended Science Team Coordinator (Atmosphere)

  • Posselt, Derek – NASA/Caltech/JPL

Data Assimilation into and Impact on Numerical Prediction of Tropical Cyclones

  • Pu, Z., Univ. of Utah

Development, Implementation and Performance Assessment of Level 2 Mean Square Slope Retrieval Algorithms

  • Zavorotny, Valery – CIRES/CU

:: NASA Competed Investigations ::

Using CYGNSS to Characterize Tropical Cyclone Structure and Integrated Kinetic Energy

  • Cecil, Daniel – NASA Marshall Space Flight Center

A Novel Approach to Global and Coastal Wind and Waves Retrievals from CYGNSS GNSS-R Measurements

  • Chang, Paul – National Oceanic and Atmospheric Administration, NESDIS/ORA

Investigation of Effects of Ocean Surface Waves and Current on Wind in Tropical Cyclones Using CYGNSS Data and a Coupled Atmosphere-Wave-Ocean Model

  • Chen, Shuyi – University Of Washington, Seattle

Investigating atmospheric variability over multiple time scales with CYGNSS

  • Johnson, Joel – Ohio State University

Effects of CYGNSS-Derived Parametric Wind Fields on Storm Surge Modeling

  • Kubatko, Ethan  – Ohio State University

Using CYGNSS to investigate relationships between wind-driven surface fluxes and tropical oceanic convection

  • Lang, Timothy – NASA/MSFC

Feedbacks Between Wind-Driven Surface Fluxes and Cloud Population Evolution During MJO: Contrast between the Indian Ocean and Maritime Continents

  • LI, Xiaowen – NASA/GSFC

Sub-daily to Sub-seasonal Variability of Ocean Surface Wind under Clear and Rainy Weather Conditions

  • Liu, W. Timothy – Jet Propulsion Laboratory

Advancing understanding of surface wind characteristics of tropical waves and oscillations using CYGNSS data

  • Majumdar, Sharan – University of Miami

Understanding tropical convective dynamics and the MJO using CYGNSS observations

  • Maloney, Eric – Colorado State University

CYGNSS Competed Science Team:  Retrieval of Surface and Subsurface Soil Moisture Profiles Over Diverse Landscapes

  • Moghaddam, Mahta – University Of Southern California

Unlocking the Potential for CYGNSS-based Tropical Cyclone Characterization

  • Morris, Mary – Jet Propulsion Laboratory

CYGNSS Estimates of Surface Heat Fluxes in Low-Latitude Extratropical Cyclones

  • Posselt, Derek – Jet Propulsion Laboratory

Assimilating GPM Satellite Radiances and CYGNSS Ocean Surface Winds into the NCEP New-Generation Non-Hydrostatic Global Forecast Model for Improved Prediction of Tropical Convection

  • Pu, Zhaoxia – University of Utah

User-Oriented Level 4 Ocean Wind Products from the CYGNSS Wind Retrievals

  • Ricciardulli, Lucrezia – Remote Sensing Systems Of California Corporation

Investigation of the Interaction between Kelvin waves and Easterly waves using CYGNSS Data

  • Schreck, Carl – North Carolina State University

Development of CYGNSS Constellation Delays-Doppler Map Retrieval of GNSS-R Altimetric Sea Surface Heights

  • Shum, C K – Ohio State University

Daily Variations of Global Tropical Ocean Surface Winds

  • Tian, Baijun – NASA/JPL

Retrieval of Soil Moisture Using CYGNSS Based on Physical Models of Bistatic Scattering

  • Tsang, Leung – University Of Michigan, Ann Arbor

Characterizing MJO and Multi-Scale Interactions over the Maritime Continent with CYGNSS: Validation, Process Study and Model Evaluation

  • Waliser, Duane – NASA/JPL

Storm Surge Forecasting with CYGNSS – Model and Algorithm Development

  • Warnock, April – SRI International

CYGNSS Soil Moisture Algorithm and Validation

  • Yueh, Simon – Jet Propulsion Laboratory

Dynamic Mapping of Tropical Wetlands and Inundations with CYGNSS

  • Zuffada, Cinzia – Jet Propulsion Laboratory

:: Extended Science Team Investigations ::

An Assessment of the Potential of GNSS-R for Improving Navy Global and Mesoscale Tropical Numerical Weather and Wave Prediction using CYGNSS

  • Baker, Nancy – NRL/Monterey

Examination of CYGNSS Science Data Products for Ocean Applications

  • Burrage, Derek – NRL/DC

Use of CYGNSS Data to Study New Altimetric and Wind Retrieval Applications

  • Cardellach, Estel and Li, Weiqiang – Institute of Space Sciences (ICE-CSIC, IEEC), Spain

Mesoscale Ocean Altimetry Using GNSS-Reflectometry

  • Carreno-Luengo, Hugo – Catalan Telecommunications Technology Centre, Spain

Analyzing, Designing and Prototyping User Data Interfaces

  • Coletti, Alex – Syneren Technologies

Development of Science Algorithms for GNSS Reflectometry

  • di Bisceglie, Maurizio and Galdi, Carmela – Universita degli Studi del Sannio, Italy

Collaborative GNSS-R Research Utilizing the NASA CYGNSS Mission for Ocean Waves, Tides and Height near Japan

  • Ichikawa, Kaoru – Kyushu University, Japan

CYGNSS land signatures for high spatio-temporal soil moisture estimation

  • Kurum, Mehmet – Mississippi State University

Retrieval of Sea Surface Height from CYGNSS

  • Li, Zhijin – NASA/JPL

Understanding the spaceborne GNSS-R signal over land: models and applications to soil moisture and vegetation

  • Pierdicca, Nazzareno – Sapienza University of Rome, Italy

Redistribution of surface water by analysis of the trajectories of the CYGNSS constellation

  • Ramillien, Guillaume – GET/OMP, France

Support development and assessment of wind and wave retrieval algorithms

  • Soulat, Francois – CLS, France

GNSS-R Observation Operator Development and Impact Evaluation (GOODIE)

  • Stoffelen, Ad – KNMI, The Netherlands

Facilitate provision of in situ observation data to the CYGNSS team

  • Taylor, Andy – BOM, Australia