Journal of Applied Meteorology · 2002 · 513 citations · 34 references
Natural SciencesEarth SciencesMeteorologyClimatologySatellite MeteorologyTropical MeteorologyHydrologic Impacts Of UrbanizationPrecipitationRainfall MeasurementSpace Weather EffectsUrban ClimatologyUrban HydrometeorologyPrecipitation Pattern AnalysisRadar Estimation Of PrecipitationRainfall ClimatologyTropical Rainfall VariabilityUrban Meteorological MeasurementsUrban Meteorological Remote SensingUrban Precipitation PatternsUrban Rainfall
The study demonstrates that satellite rainfall estimates can be used to assess urban‑induced rainfall modification on global scales and over extended periods. The authors used TRMM satellite precipitation radar data from 1998–2000 to map warm‑season rainfall around major U.S. cities, comparing downwind rainfall to an upwind control area.
Data from the Tropical Rainfall Measuring Mission (TRMM) satellite's precipitation radar (PR) were employed to identify warm-season rainfall (1998–2000) patterns around Atlanta, Georgia; Montgomery, Alabama; Nashville, Tennessee; and San Antonio, Waco, and Dallas, Texas. Results reveal an average increase of about 28% in monthly rainfall rates within 30–60 km downwind of the metropolis, with a modest increase of 5.6% over the metropolis. Portions of the downwind area exhibit increases as high as 51%. The percentage changes are relative to an upwind control area. It was also found that maximum rainfall rates in the downwind impact area exceeded the mean value in the upwind control area by 48%–116%. The maximum value was generally found at an average distance of 39 km from the edge of the urban center or 64 km from the center of the city. Results are consistent with the Metropolitan Meteorological Experiment (METROMEX) studies of St. Louis, Missouri, almost two decades ago and with more recent studies near Atlanta. The study establishes the possibility of utilizing satellite-based rainfall estimates for examining rainfall modification by urban areas on global scales and over longer time periods. Such research has implications for weather forecasting, urban planning, water resource management, and understanding human impact on the environment and climate.
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The NCEP/NCAR 40-Year Reanalysis Project
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The state of world population.
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