A global parametric rain model for landfalling tropical cyclones: a case study for the U.S. [PDF]
Lau KH, Czernichow S, Sparks N, Toumi R.
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Seasonal and spatial trends of rickettsioses in Sri Lanka (2009-2023): Spatio-temporal analysis and climate-linked modeling. [PDF]
Gunathilaka N, Jayakody D, Dilshan I.
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AHP integrated geospatial application for identifying groundwater recharge zones accounting for temporal variations through multi-criterion weighted overlay analysis. [PDF]
Singh K +8 more
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Tropical Easterly Waves in the Tropical North Atlantic Basin. [PDF]
Córdova-García OL +6 more
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Comparing novel backward hydrological models for watershed-scale precipitation estimation: an evaluation of inverted PDM and Kirchner-hybrid structures. [PDF]
Dastjerdi PA, Nasseri M.
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Sampling uncertainty in satellite rainfall estimates
Itkin, M., Loew, A.
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Accounting for Satellite Rainfall Uncertainty in Rainfall-Triggered Landslide Forecasting
Geomorphology, 2022Abstract With an increasing spatial/temporal resolution and accuracy of satellite rainfall products, their potential in landslide forecasting has gradually been recognized. Despite this, few studies have evaluated the effect of satellite rainfall uncertainty on landslide forecasting. In this study, a specific procedure is developed to account for the
Shaonan Zhu, Dawei Han, Lu Zhuo
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An overall appraisal of the status of satellite precipitation observations and ...
Kidd C, Levizzani V
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This letter presents preliminary insights from the pursuit of the following scientific query: "How realistic is ensemble generation of satellite rainfall data by a multidimensional satellite rainfall error model?" The authors first evaluated the scale-dependent multidimensional error structure for two satellite rainfall algorithms developed at the NASA
Faisal Hossain, Emmanouil N. Anagnostou
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