Remote Sensing · 2018 · 40 citations · 23 references
Natural SciencesEarth SciencesMeteorologyAtmospheric ScienceClimatologyRemote SensingHydrometeorological Observation SystemsLidar Remote SensingPrecipitationPrecipitation EstimationRainfall MeasurementSatellite HydrometeorologyDisdrometer MeasurementsDisdrometer ObservationsPrecipitation ObservationsRainfall Intensity MeasurementRainfall RetrievalsSatellite Precipitation RetrievalsSatellite-based Precipitation EstimationSatellite-based Rainfall Retrieval
In this paper, we illustrate a new, simple and complementary ground-based methodology to retrieve the vertically resolved atmospheric precipitation intensity through a synergy between measurements from the National Aeronautics and Space Administration (NASA) Micropulse Lidar network (MPLNET), an analytical model solution and ground-based disdrometer measurements. The presented results are obtained at two mid-latitude MPLNET permanent observational sites, located respectively at NASA Goddard Space Flight Center, USA, and at the Universitat Politècnica de Catalunya, Barcelona, Spain. The methodology is suitable to be applied to existing and/or future lidar/ceilometer networks with the main objective of either providing near real-time (3 h latency) rainfall intensity measurements and/or to validate satellite missions, especially for critical light precipitation (<3 mm h−1).
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The Global Precipitation Measurement Mission
Arthur Y. Hou, Ramesh K. Kakar, Steven P. Neeck et al. · Bulletin of the American Meteorological Society · 2013 · 2.8K citations · Full text
James R. Campbell, Dennis L. Hlavka, Ellsworth J. Welton et al. · Journal of Atmospheric and Oceanic Technology · 2002 · 410 citations
Ellsworth J. Welton, Kenneth J. Voss, Patricia K. Quinn et al. · Journal of Geophysical Research Atmospheres · 2002 · 235 citations · Full text