|
|
|
|
|
| Tran, N; Tournadre, Jean; Femenias, P. |
| This letter provides validation results on both Envisat altimeter rain detection flag and rain rate estimates. This assessment was performed based on 18-month collocated data sets between Envisat with two sensor measurements from the Tropical Rainfall Measuring Mission, i.e., the microwave imager and the precipitation radar. Along with the comparison between closest sensor measurements with strict spatial and temporal criteria, discussion is also provided on environmental context insight when interpreting comparison results based on collocated data. |
| Tipo: Text |
Palavras-chave: Remote sensing; Rain; Radar cross sections; Altimetry. |
| Ano: 2008 |
URL: http://archimer.ifremer.fr/doc/2008/publication-4719.pdf |
| |
|
| |
|
|
| Vandemark, D; Tran, N; Beckley, Bd; Chapron, Bertrand; Gaspar, P. |
| A new sea state bias modeling approach is presented that makes use of altimeter-derived marine geoid estimates. This method contrasts with previous models that require differencing between repeat altimeter passes for SSB isolation, along with complex bivariate inversion, to derive a relation between wind speed, wave height and SSB. Here one directly bin-averages sea height residuals over the wind and wave correlatives. Comparison with the most current nonparametric repeat-pass model shows close agreement and provides a first validation of this simpler and more direct technique. Success is attributed mainly to extensive space and time averaging. Ease in implementation and benefits in working with absolute levels provide much appeal. Further advantages and... |
| Tipo: Text |
|
| Ano: 2002 |
URL: https://archimer.ifremer.fr/doc/00000/10225/9578.pdf |
| |
|
|
| Tran, N; Vandemark, D; Chapron, Bertrand; Labroue, S; Feng, H; Beckley, B; Vincent, Patrick. |
| Sea level determination via satellite altimetry is subject to numerous error sources. One of these is the sea state bias where changing surface wave conditions alter an altimeter's estimate of mean sea level. Recent work suggests that present day methods for correcting this bias, based solely on wave and wind information from the altimeter, may be improved if additional surface gravity wave field measurements become available. This paper tests this hypothesis by developing several new sea state bias correction models using a year long combination of Jason-1 data with wave field statistics generated from an hindcast of the WaveWatch3 ocean wave model. Each candidate model is produced in the same manner; through a nonparametric mapping between Jason-1 sea... |
| Tipo: Text |
Palavras-chave: Ocean wave model; Altimetry; Sea state bias. |
| Ano: 2006 |
URL: http://archimer.ifremer.fr/doc/2006/publication-1824.pdf |
| |
|
|
|
