论文信息 - Raman lidar in operational meteorology

Raman lidar in operational meteorology

Water vapor and temperature spatial distribution and their temporal evolution are among the most important parameters in numerical weather forecasting and climate models. The operational relative humidity/temperature profiling in meteorology is carried out mostly by radio sondes. Sondes provide profiles with high vertical resolution but suffer from systematic errors and low temporal resolution. The temporal resolution is also a limitation for the now-casting, which has become more and more important for meteorological alerts and for the aviation. Recently, some of national meteorological services have introduced Raman lidars for additional operational humidity/temperature profiling. The lidars allow monitoring of water vapor mixing ratio and temperature with high vertical and temporal resolutions. Here the design and measurement results from the Raman Lidar for Meteorological Observation (RALMO) developed by the Ecole Polytechnique Féderal de Lausanne (EPFL) and operated by MeteoSwiss is presented as an illustration of the potential of Raman lidars in operational meteorology. The first applications of lidar data in numerical weather forecasting is also discussed.

[1] R. Philipona,et al. Raman Lidar for Meteorological Observations, RALMO – Part 2: Validation of water vapor measurements , 2012 .

[2] V E Zuev,et al. Atmospheric temperature measurements using a pure rotational Raman lidar. , 1983, Applied optics.

[3] Stanley G. Benjamin,et al. Evaluation of Regional Aircraft Observations Using TAMDAR , 2010 .

[4] J. Cooney,et al. Remote Measurements of Atmospheric Water Vapor Profiles Using the Raman Component of Laser Backscatter , 1970 .

[5] P. Steiner,et al. Ground-based remote sensing profiling and numerical weather prediction model to manage nuclear power plants meteorological surveillance in Switzerland , 2011 .

[6] M. Parlange,et al. Raman Lidar for Meteorological Observations, RALMO - Part 1: Instrument description , 2012 .

[7] R. Petersen,et al. On the Impact and Future Benefits of AMDAR Observations in Operational Forecasting: Part II: Water Vapor Observations , 2016 .

[8] J. Reichardt,et al. Atmospheric temperature profiling in the presence of clouds with a pure rotational Raman lidar by use of an interference-filter-based polychromator. , 2000, Applied optics.