CYGNSS Mission


CYGNSS launch and early orbit ops.

Discovery Canada put together this nice overview of the CYGNSS mission launch and early on-obit operations for their Mighty Planes series.

GRAPHIC: The CYGNSS mission team is comprised of scientists from the University of Michigan, Southwest Research Institute, Surrey Satellite Technology, U.S., L.L.C.
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Latest News

February 11, 2019

Video and audio recordings of CYGNSS presentations given at the American Meteorological Society’s Annual Meeting in January 2019 are now available on-line for public viewing. Following are the titles and authors of the papers, and links to the presentations.

Mission Overview


NASA CYGNSS Mission Science Highlights

Derek J. Posselt, JPL, Pasadena, CA; and C. S. Ruf, R. Atlas, N. L. Baker, D. Burrage, J. A. Crespo, J. T. Johnson, T. J. Lang, M. Moghaddam, E. D. Maloney, D. McKague, M. Morris, Z. Pu, E. M. Riley Dellaripa, and D. E. Waliser https://ams.confex.com/ams/2019Annual/ meetingapp.cgi/Paper/354172.

Cyclone Global Navigation Satellite System (CYGNSS): Status of Mission and Science Data Products

Christopher S. Ruf, Univ. of Michigan, Ann Arbor, MI; and S. Gleason, D. McKague, D. J. Posselt, and M. Moghaddam https://ams.confex.com/ams/2019Annual/ meetingapp.cgi/Paper/352478.

Data Assimilation for Tropical Cyclone Forecasting


Assimilation of CYGNSS Wind Data for Improving Tropical Convection Forecasts

Xuanli Li, Univ. of Alabama, Huntsville, AL; and T. J. Lang and J. R. Mecikalski https://ams.confex.com/ams/2019Annual/ meetingapp.cgi/Paper/350519

Impact of CYGNSS Ocean Surface Wind Speeds on Analysis and Forecasts of Hurricane Harvey and Irma (2017) with HWRF model

Zhiqiang Cui, Univ. of Utah, Salt Lake City, UT; and Z. Pu, C. Ruf, and V. Tallapragada https://ams.confex.com/ams/2019Annual/ meetingapp.cgi/Paper/351493

Impact of CYGNSS Data Assimilation on Tropical Cyclone Forecasts in August 2017

Michael J. Mueller, CIRES and NOAA/ESRL/GSD, Boulder, CO; and B. Annane, A. C. Kren, and L. Cucurull https://ams.confex.com/ams/2019Annual/ meetingapp.cgi/Paper/35135

Impact of CYGNSS Data on Tropical Cyclone Analysis and Forecasts Using the Operational HWRF

Bachir Annane, Univ. of Miami and NOAA/AOML, Miami, FL; and B. D. McNoldy, S. M. Leidner, R. N. Hoffman, R. Atlas, and S. J. Majumdar https://ams.confex.com/ams/2019Annual/ meetingapp.cgi/Paper/351968

Global Impacts of Assimilating CYGNSS Winds on Surface Wind Fields Using a 2-Dimensional Variational Analysis Method

S. Mark Leidner, Atmospheric and Environmental Research, Norman, OK; and S. J. Majumdar, J. Hegarty, and B. D. McNoldy https://ams.confex.com/ams/2019Annual/ meetingapp.cgi/Paper/352430

Advances in Wind Measurements and Their Impacts on Severe Weather Forecasting: Progress and Prospects

Zhaoxia Pu, Univ. of Utah, Salt Lake City, UT; and R. Atlas, G. D. Emmitt, and C. Velden https://ams.confex.com/ams/2019Annual/ meetingapp.cgi/Paper/351525

Other Ocean Science Applications

Surface Heat Flux Analysis and Products for the CYGNSS Mission

Juan A. Crespo, JPL, Pasadena, CA; and D. J. Posselt https://ams.confex.com/ams/2019Annual/meetingapp.cgi/Paper/352152

Characteristics of Diurnal Convection and Winds over the Maritime Continent during YMC with WRF Numerical Simulations and Data Assimilation at a Cloud Permitting Scale

Zhaoxia Pu, Univ. of Utah, Salt Lake City, UT; and C. Zhang https://ams.confex.com/ams/2019Annual/meetingapp.cgi/Paper/353918

Terrestrial Applications


Mapping Flooding During Severe Weather Events Using Observations from CYGNSS

Clara Chew, UCAR, Boulder, CO; and L. Read, J. J. Braun, D. J. Gochis, W. S. Schreiner, and S. Gleason https://ams.confex.com/ams/2019Annual/meetingapp.cgi/Paper/354935

Validation of Ocean Wind Measurements


Using In Situ Measurements to Validate CYGNSS Wind Speed Observations

Xiaochun Wang, Univ. of California, Los Angeles, Los Angeles, CA; and Y. Hu, J. T. Johnson, Y. Yi, C. K. Shum, and D. Wang https://ams.confex.com/ams/2019Annual/meetingapp.cgi/Paper/354145

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NASA’s Weather Prediction Project

The Cyclone Global Navigation Satellite System (CYGNSS) aims to improve extreme weather prediction.

CYGNSS will use a constellation of eight small satellites carried to orbit on a single launch vehicle. In orbit, CYGNSS’s eight micro-satellite observatories will receive both direct and reflected signals from Global Positioning System (GPS) satellites. The direct signals pinpoint CYGNSS observatory positions, while the reflected signals respond to ocean surface roughness, from which wind speed is retrieved.

The mission will study the relationship between ocean surface properties, moist atmospheric thermodynamics, radiation and convective dynamics to determine how a tropical cyclone forms and whether or not it will strengthen, and if so by how much. This will advance forecasting and tracking methods.

CYGNSS data will enable scientists, for the first time, to probe key air-sea interaction processes that take place near the inner core of the storms, which are rapidly changing and play large roles in the genesis and intensification of hurricanes.

The CYGNSS mission launched on December 15, 2016!

CYGNSS mission is comprised of 8 Low Earth Orbiting (LEO) spacecraft (S/C) that receive both direct and reflected signals from GPS satellites The CYGNSS mission is comprised of 8 Low Earth Orbiting (LEO) spacecraft (S/C) that receive both direct and reflected signals from GPS satellites.

CYGNSS is part of the
NASA Earth System Science Pathfinder program.



NASA Ames Research Center
University of Michigan
Southwest Research Institute of Texas
Surrey Satellite Technology of Colorado