The CMOD7 Geophysical Model Function for ASCAT and ERS Wind Retrievals

A new geophysical model function (GMF), called CMOD7, has been developed for intercalibrated ERS (ESCAT) and ASCAT C-band scatterometers. It is valid for their combined incidence angle range and being used to generate wind climate data records. CMOD7 has been developed in several steps as a successor of CMOD5.n. First, CMOD5.n has been adapted to the ASCAT transponder calibration, which is considered more accurate than any ESCAT gain calibration. This results in a linear scaling of the backscatter values. Second, for low winds, there is a clear mismatch between CMOD5.n and the measurements. An independently developed ASCAT C-band GMF, C2013, which performs particularly well for low winds was adopted to improve low winds for the ASCAT incidence angle range. Third, retrievals with CMOD5.n show wind speed probability distribution functions (pdf) that undesirably depend on wind vector cell (WVC) position across the swath. To overcome this effect, a higher order calibration is applied, which matches the wind speed pdfs for all WVCs of ASCAT and ESCAT. The resulting CMOD7 GMF indeed shows overall improved performance on all relevant quality parameters compared to CMOD5.n. It is found that the standard deviations of error for wind speed and wind direction of ASCAT are improved. The same holds for the maximum-likelihood estimates, showing an 8% improved consistency with the local triplet of backscatter measurements. As a consequence, triple collocation with moored buoy and numerical weather prediction winds results in smaller wind vector components and wind direction retrieval errorsim.

[1]  J. Bidlot,et al.  Intercomparison of the Performance of Operational Ocean Wave Forecasting Systems with Buoy Data , 2002 .

[2]  Ad Stoffelen,et al.  Long-Term Scatterometer Wind Climate Data Records , 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[3]  Marcos Portabella,et al.  On Scatterometer Ocean Stress , 2009 .

[4]  Xavier Neyt,et al.  Assessment of the corrected CMOD6 GMF using scatterometer data , 2015, SPIE Remote Sensing.

[5]  E. Attema,et al.  The Active Microwave Instrument on-board the ERS-1 satellite , 1991, Proc. IEEE.

[6]  David G. Long,et al.  Evaluating and Extending the Ocean Wind Climate Data Record , 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[7]  Michael H. Freilich,et al.  Observations of coupling between surface wind stress and sea surface temperature in the Eastern Tropical Pacific , 2001 .

[8]  Marcos Portabella,et al.  Validation and Calibration of ASCAT Using CMOD5.n , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[9]  David L. T. Anderson,et al.  Scatterometer data interpretation: Estimation and validation of the transfer function CMOD4 , 1997 .

[10]  H. Hersbach Comparison of C-Band Scatterometer CMOD5.N Equivalent Neutral Winds with ECMWF , 2010 .

[11]  A. Stoffelen Toward the true near-surface wind speed: Error modeling and calibration using triple collocation , 1998 .

[12]  H. Hersbach,et al.  An improved C-band scatterometer ocean geophysical model function: CMOD5 , 2007 .

[13]  Marcos Portabella,et al.  CMOD5.n - the CMOD5 GMF for neutral winds , 2008 .

[14]  A. Simmons,et al.  The Concept of Essential Climate Variables in Support of Climate Research, Applications, and Policy , 2014 .

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

[16]  M. Drinkwater,et al.  The advanced scatterometer (ASCAT) on the meteorological operational (MetOp) platform: A follow on for European wind scatterometers , 2002 .

[17]  W. Timothy Liu,et al.  Measuring Ocean Surface Wind from Space , 2006 .

[18]  Ad Stoffelen,et al.  A Simple Method for Calibration of a Scatterometer over the Ocean , 1999 .

[19]  Hans Hersbach,et al.  554 CMOD 5 . N : A C-band geophysical model function for equivalent neutral wind , 2022 .

[20]  Marcos Portabella,et al.  Validation of Backscatter Measurements from the Advanced Scatterometer on MetOp-A , 2011 .

[21]  Marcos Portabella,et al.  Improved ASCAT Wind Retrieval Using NWP Ocean Calibration , 2012, IEEE Transactions on Geoscience and Remote Sensing.

[22]  W. Timothy Liu,et al.  Relating Wind and Stress under Tropical Cyclones with Scatterometer , 2016 .

[23]  Frank J. Wentz,et al.  A model function for the ocean‐normalized radar cross section at 14 GHz derived from NSCAT observations , 1999 .

[24]  A. Stoffelen,et al.  On the quality of high‐resolution scatterometer winds , 2011 .

[25]  David L. T. Anderson,et al.  Scatterometer Data Interpretation: Measurement Space and Inversion , 1997 .

[26]  W. Liu,et al.  Bulk Parameterization of Air-Sea Exchanges of Heat and Water Vapor Including the Molecular Constraints at the Interface , 1979 .

[27]  Jos de Kloe,et al.  Improved Use of Scatterometer Measurements by Using Stress-Equivalent Reference Winds , 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.