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by Mercier, F., Barthes, L. and Mallet, C
Abstract:
We propose a method based on the use of a set of commercial satellite-to-Earth microwave links to rebuild fine-scale rainfall fields. Such microwave links exist all over the world and can be used to estimate the integrated rain attenuation over the links’ first 5 – 7 km with a very high temporal resolution (10 seconds in the present case). The retrieval algorithm makes use of a variational 4D-VAR assimilation method involving a numerical advection scheme. The advection velocity is recovered from the observations or from radar rainfall fields at successive time steps. This technique has been successively applied to simulated 2D rain maps and to real data recorded in the autumn of 2013 during the HyMeX campaign, with one sensor receiving microwave signals from 4 different satellites. The performance of this system is assessed, and compared to an operational Meteo France radar, and a network of 10 rain gauges. Due to the limitations of the propagation model, we limit this study to the events with strong advective characteristics (4 out of 8 recorded events). For these events (only), the method produces rainfall fields which are highly correlated with the radar maps at spatial resolutions greater than 2 * 2 km2. The point-scale results are also satisfactory for temporal resolutions greater than 10min (mean correlation with rain gauge data equal to approximately 0.8, similar to the correlation between radar and rain gauge data). This method can also be adapted to the fusion of rain gauge with microwave link measurements and, through the use of several sensors, has the potential of being applied to larger areas.
Reference:
Mercier, F., Barthes, L. and Mallet, C, 2015: Estimation of fine-scale rainfall fields using broadcast TV-SAT links and 4D-VAR assimilation methodJournal of Atmospheric and Oceanic Technology, 32, 1709-1728.
Bibtex Entry:
@Article{Mercier2015,
  Title                    = {Estimation of fine-scale rainfall fields using broadcast TV-SAT links and 4D-VAR assimilation method},
  Author                   = {Mercier, F. and Barthes, L. and Mallet, C},
  Journal                  = {Journal of Atmospheric and Oceanic Technology},
  Year                     = {2015},

  Month                    = {October},
  Number                   = {10},
  Pages                    = {1709-1728},
  Volume                   = {32},

  Abstract                 = {We propose a method based on the use of a set of commercial satellite-to-Earth microwave links to rebuild fine-scale rainfall fields. Such microwave links exist all over the world and can be used to estimate the integrated rain attenuation over the links’ first 5 – 7 km with a very high temporal resolution (10 seconds in the present case). The retrieval algorithm makes use of a variational 4D-VAR assimilation method involving a numerical advection scheme. The advection velocity is recovered from the observations or from radar rainfall fields at successive time steps.

This technique has been successively applied to simulated 2D rain maps and to real data recorded in the autumn of 2013 during the HyMeX campaign, with one sensor receiving microwave signals from 4 different satellites. The performance of this system is assessed, and compared to an operational Meteo France radar, and a network of 10 rain gauges. Due to the limitations of the propagation model, we limit this study to the events with strong advective characteristics (4 out of 8 recorded events). For these events (only), the method produces rainfall fields which are highly correlated with the radar maps at spatial resolutions greater than 2 * 2 km2. The point-scale results are also satisfactory for temporal resolutions greater than 10min (mean correlation with rain gauge data equal to approximately 0.8, similar to the correlation between radar and rain gauge data).

This method can also be adapted to the fusion of rain gauge with microwave link measurements and, through the use of several sensors, has the potential of being applied to larger areas.},
  Copublication            = {3: 3 Fr},
  Doi                      = {10.1175/JTECH-D-14-00125.1},
  Owner                    = {hymexw},
  Timestamp                = {2016.01.08},
  Url                      = {http://journals.ametsoc.org/doi/abs/10.1175/JTECH-D-14-00125.1}
}