Microwave Radiometer Technology Acceleration Mission (MiRaTA): Advancing Weather Remote Sensing with Nanosatellites

The Microwave Radiometer Technology Acceleration (MiRaTA) is a 3U CubeSat NASA Earth Science Technology Office (ESTO) mission under development for a 2016 launch. Microwave radiometry and GPS radio occultation (GPSRO) measurements of all-weather temperature and humidity provide key contributions toward improved weather forecasting. The MiRaTA mission will validate new technologies in both passive microwave radiometry and GPS radio occultation: (1) new ultra-compact and low-power technology for multi-channel and multi-band passive microwave radiometers, and (2) new GPS receiver and patch antenna array technology for GPS radio occultation retrieval of both temperature-pressure profiles in the atmosphere and electron density profiles in the ionosphere. In addition, MiRaTA will test (3) a new approach to spaceborne microwave radiometer calibration using adjacent GPSRO measurements. Radiometer measurement quality can be substantially improved relative to present systems through the use of proximal GPSRO measurements as a calibration standard for radiometric observations, reducing and perhaps eliminating the need for costly and complex internal calibration targets. MiRaTA will execute occasional pitch-up maneuvers so that radiometer and GPSRO observations sound overlapping volumes of atmosphere through the Earth's limb. To validate system performance, observations from both microwave radiometer (MWR) and GPSRO instruments will be compared to radiosondes, global high-resolution analysis fields, other satellite observations, and to each other using radiative transfer models. Both the radiometer and GPSRO payloads, currently at TRL5 but to be advanced to TRL7 at mission conclusion, can be accommodated in a single 3U CubeSat. The current plan is to launch from an ISS orbit at ~400 km altitude and 52° inclination for low-cost

[1]  Neal Erickson,et al.  Radiometer Calibration Using Colocated GPS Radio Occultation Measurements , 2014, IEEE Transactions on Geoscience and Remote Sensing.

[2]  K. Cahoy,et al.  Ad hoc CubeSat constellations: Secondary launch coverage and distribution , 2013, 2013 IEEE Aerospace Conference.

[3]  Wenze Yang,et al.  Cross-Scan Asymmetry of AMSU-A Window Channels: Characterization, Correction, and Verification , 2013, IEEE Transactions on Geoscience and Remote Sensing.

[4]  Xu Liu,et al.  Evaluation of CrIMSS operational products using in-situ measurements, model analysis fields, and retrieval products from heritage algorithms , 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

[5]  Paul Racette,et al.  Design and analysis of a hyperspectral microwave receiver subsystem , 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

[6]  Xu Liu,et al.  Joint Polar Satellite System (JPSS) Cross-track Infrared Microwave Sounding Suite (CrIMSS) environmental data record validation status , 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

[7]  K. Cahoy,et al.  Nanosatellites for earth environmental monitoring: The MicroMAS project , 2012, 2012 12th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad).

[8]  Charles Merrill Swenson,et al.  DICE Mission Design, Development, and Implementation: Success and Challenges , 2012 .

[9]  David Hinkley,et al.  First Results From the GPS Compact Total Electron Content Sensor (CTECS) on the PSSCT-2 Nanosat , 2012 .

[10]  Edward J. Kim,et al.  NPP ATMS prelaunch performance assessment and Sensor Data Record validation , 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.

[11]  S. Reising,et al.  High Frequency Pin-Diode Switches for Radiometer Applications , 2011 .

[12]  William J. Blackwell,et al.  Hyperspectral Microwave Atmospheric Sounding , 2011, IEEE Transactions on Geoscience and Remote Sensing.

[13]  Todd Gaier,et al.  Monitoring the Hydrologic Cycle With the PATH Mission , 2010, Proceedings of the IEEE.

[14]  L. Cucurull Improvement in the Use of an Operational Constellation of GPS Radio Occultation Receivers in Weather Forecasting , 2010 .

[15]  Ying-Hwa Kuo,et al.  Estimating the uncertainty of using GPS radio occultation data for climate monitoring: Intercomparison of CHAMP refractivity climate records from 2002 to 2006 from different data centers , 2009 .

[16]  Anthony J. Mannucci,et al.  Rising and setting GPS occultations by use of open‐loop tracking , 2009 .

[17]  Ying-Hwa Kuo,et al.  Calibration of temperature in the lower stratosphere from microwave measurements using COSMIC radio occultation data: Preliminary results , 2009 .

[18]  Ye Hong,et al.  Special Sensor Microwave Imager Sounder (SSMIS) Radiometric Calibration Anomalies—Part I: Identification and Characterization , 2008, IEEE Transactions on Geoscience and Remote Sensing.

[19]  Shannon T. Brown,et al.  On the Long-Term Stability of Microwave Radiometers Using Noise Diodes for Calibration , 2007, IEEE Transactions on Geoscience and Remote Sensing.

[20]  Craig Clark,et al.  Evaluation of Lithium Polymer Technology for Small Satellite Applications , 2007 .

[21]  Michael J. Schwartz,et al.  The clear-sky unpolarized forward model for the EOS aura microwave limb sounder (MLS) , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[22]  Thomas P. Yunck An Overview of Atmospheric Radio Occultation , 2002 .

[23]  J. Schofield,et al.  Observing Earth's atmosphere with radio occultation measurements using the Global Positioning System , 1997 .

[24]  T. Mo,et al.  Prelaunch calibration of the advanced microwave sounding unit-A for NOAA-K , 1995 .

[25]  P. Rosenkranz,et al.  Absorption of Microwaves by Atmospheric Gases , 1993 .