Water · 2019 · 20 citations · 61 references
Natural SciencesEarth SciencesMeteorologyClimatologyRemote SensingSatellite MeteorologyPrecipitationPrecipitation EstimationRainfall MeasurementSatellite Data ValidationSatellite HydrometeorologySatellite SensorsRainfall RetrievalsSatellite Precipitation EstimationSatellite Precipitation RetrievalsSatellite-based Precipitation EstimationSatellite-based Precipitation RetrievalSatellite-based Rainfall RetrievalSpatiotemporal Rainfall VariabilitySpatiotemporal Variability
This study evaluated the performance of the Integrated Multi-satellite Retrievals for Global Precipitation Measurement (IMERG) version 5 (V05) Early-run and Final-run (IMERG-E and IMERG-F, respectively) products over the Tianshan Mountains. For comparison, the accuracies of two Tropical Rainfall Measuring Mission (TRMM) products (3B42RT and 3B42V7) were also analyzed. Performance of the satellite-based precipitation products (SPPs) was analyzed at daily to annual scales from April 2014 to October 2017. Results showed that: (1) IMERG-F and 3B42V7 performed better than IMERG-E and 3B42RT in the characterization of spatiotemporal variability of precipitation; (2) Precipitation estimates from IMERG-F were in the best overall agreement with the gauge-based data, followed by IMERG-E and 3B42V7 on all temporal scales; (3) IMERG-E and 3B42RT products were failed to provide accurate precipitation amounts, whereas IMERG-F and 3B42V7 were able to provide accurate precipitation estimates with the lowest relative biases (4.98% and −1.71%, respectively) and RMSE (0.58 mm/day and 0.76 mm/day, respectively); (4) The enhancement from the IMERG Early-run to the Final-run to capture the moderate to heavy precipitation events was not evident; (5) On seasonal scale, IMEGR-F performed better than all other SPPs, particularly during the spring season with negligible bias (0.28%). It was deduced that IMERG-F was capable of replacing TRMM products.
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Robert J. Joyce, John E. Janowiak, Phillip A. Arkin et al. · Journal of Hydrometeorology · 2004 · 3.2K citations
Global precipitation measurement: Methods, datasets and applications
Francisco J. Tapiador, F. Joseph Turk, Walt Petersen et al. · Atmospheric Research · 2011 · 522 citations