Independent Assessment of On-Board Microwave Radiometer Measurements in Coastal Zones Using Tropospheric Delays From GNSS

Zenith tropospheric delays (ZTDs) computed at a network of 60 global navigation satellite system (GNSS) stations have been used to assess microwave radiometer (MWR) measurements from eight altimeter missions in coastal zones, where some of these observations become invalid. Results show that ZTDs are determined with an accuracy of a few millimeters; however, jumps are detected in some stations in standard products. The comparison between the MWR-derived wet tropospheric correction (WTC) and the GNSS-derived WTC at the nearby coastal stations illustrates the effect of land contamination in the MWR measurements and yields the distance from coast at which this contamination appears. This distance is different for the analyzed altimetric missions, due to their different footprint sizes and different MWR retrieval algorithms, varying from 10 to 30 km. The root mean square of the differences between GNSS and MWR-derived WTC, at the closest distance at which no land contamination occurs, is in the range of 1.6–1.9 cm for all missions. This coastal assessment also shows the ability of the GNSS-derived path delay plus algorithm to remove this land contamination and to improve the WTC retrieval. Aiming at inspecting the long-term stability of the MWR measurements, the comparisons with GNSS show nonsignificant differences and drifts less than 0.3 mm/year. Therefore, the GNSS-derived WTC is a useful independent source to inspect the land effects on MWR observations and to monitor the stability of these instruments, thus contributing to the retrieval of precise water surface heights from satellite altimetry.

[1]  P. Femenias,et al.  FIRST THREE YEARS OF THE MICROWAVE RADIOMETER ABOARD ENVISAT : IN-FLIGHT CALIBRATION, PROCESSING AND VALIDATION OF THE GEOPHYSICAL PRODUCTS , 2006 .

[2]  Henrik Vedel,et al.  Combination methods of tropospheric time series , 2011 .

[3]  Clara Lázaro,et al.  Improved wet path delays for all ESA and reference altimetric missions , 2015 .

[4]  V. Ducrocq,et al.  A GPS network for tropospheric tomography , 2013 .

[5]  H. Schuh,et al.  Troposphere mapping functions for GPS and very long baseline interferometry from European Centre for Medium‐Range Weather Forecasts operational analysis data , 2006 .

[6]  Jean Tournadre,et al.  Cloud and Rain Effects on AltiKa/SARAL Ka-Band Radar Altimeter—Part I: Modeling and Mean Annual Data Availability , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[7]  I. Shapiro,et al.  Geodesy by radio interferometry: Effects of atmospheric modeling errors on estimates of baseline length , 1985 .

[8]  E. C. Pavlis,et al.  Tropospheric water vapor from solar spectrometry and comparison with Jason microwave radiometer measurements , 2006 .

[9]  Steven Businger,et al.  GPS Meteorology: Mapping Zenith Wet Delays onto Precipitable Water , 1994 .

[10]  Shannon T. Brown A Novel Near-Land Radiometer Wet Path-Delay Retrieval Algorithm: Application to the Jason-2/OSTM Advanced Microwave Radiometer , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[11]  Bruce J. Haines,et al.  Monitoring Measurements from the Jason-1 Microwave Radiometer and Independent Validation with GPS , 2004 .

[12]  W. Marsden I and J , 2012 .

[13]  M. Joana Fernandes,et al.  Analysis and Inter-Calibration of Wet Path Delay Datasets to Compute the Wet Tropospheric Correction for CryoSat-2 over Ocean , 2013, Remote. Sens..

[14]  M. Joana Fernandes,et al.  GNSS-Derived Path Delay: An Approach to Compute the Wet Tropospheric Correction for Coastal Altimetry , 2010, IEEE Geoscience and Remote Sensing Letters.

[16]  Frank J. Wentz,et al.  SSM/I Version-7 Calibration Report , 2012 .

[18]  Yoaz Bar-Sever,et al.  Monitoring the TOPEX Microwave Radiometer with GPS: Stability of columnar water vapor measurements , 1998 .

[19]  M. Joana Fernandes,et al.  GPD+ Wet Tropospheric Corrections for CryoSat-2 and GFO Altimetry Missions , 2016, Remote. Sens..

[20]  Aaas News,et al.  Book Reviews , 1893, Buffalo Medical and Surgical Journal.

[21]  Richard B. Langley,et al.  An Evaluation of the Accuracy of Models for the Determination of the Weighted Mean Temperature of the Atmosphere , 2000 .

[22]  J. Tournadre,et al.  Improved Level-3 Oceanic Rainfall Retrieval from Dual-Frequency Spaceborne Radar Altimeter Systems , 2006 .

[23]  J. Willis,et al.  Regional Sea-Level Projection , 2012, Science.

[24]  Clara Lázaro,et al.  Tropospheric delays from GNSS for application in coastal altimetry , 2013 .

[25]  Pierre Prandi,et al.  Monitoring Sea Level in the Coastal Zone with Satellite Altimetry and Tide Gauges , 2016, Surveys in Geophysics.

[26]  J. Kouba Implementation and testing of the gridded Vienna Mapping Function 1 (VMF1) , 2008 .

[27]  Nicolas Picot,et al.  Using SARAL/AltiKa to Improve Ka-band Altimeter Measurements for Coastal Zones, Hydrology and Ice: The PEACHI Prototype , 2015 .

[28]  Pascal Willis,et al.  An inter-comparison of zenith tropospheric delays derived from DORIS and GPS data , 2010 .

[29]  J. Thepaut,et al.  The ERA‐Interim reanalysis: configuration and performance of the data assimilation system , 2011 .