On the Use of Microwave Radiometers for Deep Space Mission Applications by Means of a Radiometric-Based Scalar Indicator

The estimation of the path delay due to water vapor is a crucial aspect for the calibration of the Doppler observables of a deep space probe. The advanced water vapor radiometer (AWVR) developed by the Jet Propulsion Laboratory (JPL, NASA) already proved its capability to accurately estimate the path delay during the entire Cassini mission. Here, from the AWVR measurements, a scalar sky status indicator (SSI) was developed as a criterion for selecting the radiometric path delay estimations in the orbit determination process. Results indicate that the use of such index allows a reduction of the range rate residual root mean square (rms).

[1]  G. M. Resch,et al.  Inversion Algorithms for Water Vapor Radiometers Operating at 20.7 and 31.4 Ghz , 1984 .

[2]  David D. Turner,et al.  The Atmospheric radiation measurement (ARM) program network of microwave radiometers: instrumentation, data, and retrievals , 2013 .

[3]  Susanne Crewell,et al.  Combining ground‐based with satellite‐based measurements in the atmospheric state retrieval: Assessment of the information content , 2013 .

[4]  Vinia Mattioli,et al.  Forward model studies of water vapor using scanning microwave radiometers, global positioning system, and radiosondes during the cloudiness intercomparison experiment , 2005, IEEE Transactions on Geoscience and Remote Sensing.

[5]  P. Tortora,et al.  Instruments, data and techniques for the assessment of tropospheric noise in deep space tracking , 2012, 2012 6th European Conference on Antennas and Propagation (EUCAP).

[6]  N. D. Panagiotacoupulos,et al.  An Introduction to JPL's Orbit Determination Program , 1974 .

[7]  David D. Turner,et al.  Modifications to the Water Vapor Continuum in the Microwave Suggested by Ground-Based 150-GHz Observations , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[8]  Alan Tanner,et al.  Design and performance of a high‐stability water vapor radiometer , 2003 .

[9]  Vinia Mattioli,et al.  Analysis and improvements of cloud models for propagation studies , 2009 .

[10]  T. D. Moyer.  Formulation for Observed and Computed Values of Deep Space Network Data Types for Navigation , 2003 .

[11]  Antonio Martellucci,et al.  A Sky Status Indicator to Detect Rain-Affected Atmospheric Thermal Emissions Observed at Ground , 2013, IEEE Transactions on Geoscience and Remote Sensing.

[12]  Luciano Iess,et al.  Precise Cassini Navigation During Solar Conjunctions Through Multifrequency Plasma Calibrations , 2004 .

[13]  David Hudak,et al.  Monitoring water phase dynamics in winter clouds , 2014 .

[14]  Antonio Martellucci,et al.  Identification of rainy periods from ground based microwave radiometry , 2012 .

[15]  Yong Han,et al.  Analysis and improvement of tipping calibration for ground-based microwave radiometers , 2000, IEEE Trans. Geosci. Remote. Sens..

[16]  S. W. Asmar,et al.  The Gravity Field and Interior Structure of Enceladus , 2014, Science.

[17]  Susanne Crewell,et al.  Snow particle orientation observed by ground‐based microwave radiometry , 2012 .

[18]  Shepard A. Clough,et al.  Retrieving Liquid Wat0er Path and Precipitable Water Vapor From the Atmospheric Radiation Measurement (ARM) Microwave Radiometers , 2007, IEEE Transactions on Geoscience and Remote Sensing.

[19]  K. A. Marsh,et al.  New model‐based Bayesian inversion algorithm for the retrieval of wet troposphere path delay from radiometric measurements , 1998 .

[20]  P. Tortora,et al.  A test of general relativity using radio links with the Cassini spacecraft , 2003, Nature.

[21]  Alan B. Tanner,et al.  Atmospheric Media Calibration for the Deep Space Network , 2007, Proceedings of the IEEE.

[22]  Domenico Cimini,et al.  Forecast indices from a ground-based microwave radiometer for operational meteorology , 2014 .

[23]  E. Westwater,et al.  User's guide to WPL microwave radiative transfer software , 1991 .

[24]  C. Mallet,et al.  Beacon calibration with a multifrequency radiometer , 1992 .

[25]  Luciano Iess,et al.  Astra: Interdisciplinary study on enhancement of the end-to-end accuracy for spacecraft tracking techniques , 2014 .

[26]  C. Capsoni,et al.  Instruments, data and techniques for the assessment of the atmospheric noise emission in Satcom ground stations , 2012, 2012 6th European Conference on Antennas and Propagation (EUCAP).

[27]  Kenneth A. Marsh,et al.  Advanced Algorithm and System Development for Cassini Radio Science Tropospheric Calibration , 1996 .

[28]  P. Tortora,et al.  Analysis and improvements of methodologies for discriminating atmospheric conditions from radiometric brightness temperatures , 2013, 2013 7th European Conference on Antennas and Propagation (EuCAP).

[29]  Vinia Mattioli,et al.  Analysis of Radiosonde and Ground-Based Remotely Sensed PWV Data from the 2004 North Slope of Alaska Arctic Winter Radiometric Experiment , 2007 .

[30]  F. Webb,et al.  An Introduction to the GIPSY/OASIS-II , 1993 .

[31]  P. Rosenkranz.  Water vapor microwave continuum absorption: A comparison of measurements and models , 1998 .

[32]  S. Asmar,et al.  The Tides of Titan , 2012, Science.