Geoscience Reference
In-Depth Information
6. Conclusion
Hydrological applications of meteorological radars have become an important branch of
remote sensing in meteorology and disaster preparedness activities. The high temporal and
spatial resolution precipitation fields generated by meteorological radars meet the
requirements of the hydrological modeling (Sempere-Torres et al., 2004). Furthermore the
radar covers large areas and is of rapid access for real time hydrological applications and,
therefore an adequate blending of radar and rain gauge data results in better estimates of
real time precipitation (Collier,1996; Joss & Waldvogel, 1990). Méndez et al. (2009) has
pointed the capacity of the Doppler radars to scan storm gives a big advantage for runoff
and precipitation prediction and may be fundamental to understand the physics of storm
intensification in complex orography as México Valley.
The system of weather/hydrological forecasting and monitoring storms enable user and
stake holders to have information of more severe events in advance and establish risk
management policies for their mitigation. The scheme for dissemination of information must
contemplate to present the results of diagnostic scheme and weather forecasting as clearly as
possible in order that users and stake holders have relevant elements to incorporate
objective vulnerability assessments to more closely meet the facing risks. To achieve this the
continuous results display in a color system associated with critical values of risk, using a
Geographic Information System, is a powerful tool for prevention and response prevention
or emergency in accordance with the Mexico City government interests. Further
improvements in the short term precipitation forecast, or quantitative precipitation forecast
(QPF), can be achieved by blending Doppler radar products and output of numerical
weather prediction models (Atencia et al. 2010)
The results of this study and Méndez et al. (2011) assess the value of using weather radar
data as input distributed hydrological models. These models are adequate for applications
in regions of strong slopes and heavy rainfall with complex draining networks for which
reason it would be very useful in early warning systems.
Early warning systems, widely used in the world, aim to provide relevant information for
making decisions within a framework of prevention. This type of action has proved to be
much more helpful, even under weather forecasts uncertainties, than a system based only an
emergency response.
7. References
Atencia, A.; Rigo, T., Sairouni, A., Moré, J., Bech, J., Vilaclara, E., Cunillera. J., Llasat. M. C.,
& Garrote, L. (2010). Improving QPF by blending techniques at the Meteorological
Service of Catalonia. Nat. Hazards Earth Syst. Sci ., 10, 1443-1455.
Barros, A. P. (1994). Dynamic modeling of orographically induced precipitation. Rev.
Geophys ., 32, 265-284.
Bech, J.; Codina, B., Lorente, J., & Bebbington, D. (2003). The Sensitivity of Single
PolarizationWeather Radar Beam Blockage Correction to Variability in the Vertical
Refractivity Gradient . J. Atmos. Ocean. Technol ., 20, 845-855.
Borga, M.; Da Ros, D., Fattorelli, S., & Vizzaccaro, A. (1997). Influence of various weather
radar correction procedures on mean areal rainfall estimation and rainfall-runoff
simulation. Weather radar technologies for water resources management . Braga, B. J. and
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