Abstract

Accurate measurements of the vertical profiles of atmospheric temperature are necessary to advance the knowledge of dynamics-thermodynamicsradiative interaction mechanisms triggering convection, and ultimately improve weather forecasting capabilities. Comprehensive intercomparisons between different remote sensing and in-situ sensors have to be carried for the purpose of obtaining accurate error estimates for these sensors. This paper reports results obtained in the frame of the Hydrological Cycle in the Mediterranean Experiment – Special Observation Period (HyMeX-SOP1).

Highlights

  • The Hydrological Cycle in the Mediterranean Experiment aims at a better understanding, of the hydrological cycle in the Mediterranean, with specific emphasis on the observation and modeling of extreme weather events.Heavy precipitation and flash-flooding events affect the Mediterranean coastline as a consequence of specific forcing mechanisms and abundant evaporation from the sea surface

  • This paper reports results obtained in the frame of the Hydrological Cycle in the Mediterranean Experiment – Special Observation Period (HyMeX-SOP1)

  • These events, which may cause hundreds of millions of euros in damages, are usually associated with increasing levels of humidity within the boundary layer and the lower part of the free troposphere The role that played by water vapour on meteorological process is only partially understood due to its highly variable distribution in space and time

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Summary

Introduction

The Hydrological Cycle in the Mediterranean Experiment aims at a better understanding, of the hydrological cycle in the Mediterranean, with specific emphasis on the observation and modeling of extreme weather events.Heavy precipitation and flash-flooding events affect the Mediterranean coastline as a consequence of specific forcing mechanisms (orography) and abundant evaporation from the sea surface. Comprehensive intercomparisons between different remote sensing and in-situ sensors have to be carried for the purpose of obtaining accurate error estimates for these sensors.

Results
Conclusion

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