کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6345179 | 1621220 | 2016 | 18 صفحه PDF | دانلود رایگان |

- 5Â years of SMOS radiometer L-band data intercepts with tropical cyclones are analyzed.
- The storm-induced brightness contrast ÎI monotonically increases with their intensity.
- In average, the brightest ÎI is found in the right-hand side quadrants of the storms.
- A quadratic relationship relates ÎI and the 10Â m height surface wind speed (SWS).
- SWS can be retrieved from SMOS with an RMS error of 5Â m/s up to 50Â m/s.
Five years of SMOS L-band brightness temperature data intercepting a large number of tropical cyclones (TCs) are analyzed. The storm-induced half-power radio-brightness contrast (ÎI) is defined as the difference between the brightness observed at a specific wind force and that for a smooth water surface with the same physical parameters. ÎI can be related to surface wind speed and has been estimated for ~Â 300 TCs that intercept with SMOS measurements. ÎI, expressed in a common storm-centric coordinate system, shows that mean brightness contrast monotonically increases with increased storm intensity ranging from ~Â 5Â K for strong storms to ~Â 24Â K for the most intense Category 5 TCs. A remarkable feature of the 2D mean ÎI fields and their variability is that maxima are systematically found on the right quadrants of the storms in the storm-centered coordinate frame, consistent with the reported asymmetric structure of the wind and wave fields in hurricanes. These results highlight the strong potential of SMOS measurements to improve monitoring of TC intensification and evolution. An improved empirical geophysical model function (GMF) was derived using a large ensemble of co-located SMOS ÎI, aircraft and H*WIND (a multi-measurement analysis) surface wind speed data. The GMF reveals a quadratic relationship between ÎI and the surface wind speed at a height of 10Â m (U10). ECMWF and NCEP analysis products and SMOS derived wind speed estimates are compared to a large ensemble of H*WIND 2D fields. This analysis confirms that the surface wind speed in TCs can effectively be retrieved from SMOS data with an RMS error on the order of 10Â kt up to 100Â kt. SMOS wind speed products above hurricane force (64Â kt) are found to be more accurate than those derived from NWP analyses products that systematically underestimate the surface wind speed in these extreme conditions. Using co-located estimates of rain rate, we show that the L-band radio-brightness contrasts could be weakly affected by rain or ice-phase clouds and further work is required to refine the GMF in this context.
Journal: Remote Sensing of Environment - Volume 180, July 2016, Pages 274-291