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RISA Stochastic Precipitation Disaggregation Scheme for GCM Applications
Publisher: American Meteorological Society
Abstract: In the surface hydrologic pararmeterization of general circulation models (GCMs), it is commonly assumed that the precipitation processes are homogeneous over a GCM grid square and that the precipitation intensity is ...
Assessment of the Spatial and Seasonal Variation of the Error–Intensity Relationship in Satellite-Based Precipitation Measurements Using an Adaptive Parametric Model
Publisher: American Meteorological Society
Abstract: tudies have been reported about the efficacy of satellites for measuring precipitation and about quantifying their errors. Based on these studies, the errors are associated with a number of factors, among them, intensity, ...
An Object-Oriented Approach to Investigate Impacts of Climate Oscillations on Precipitation: A Western United States Case Study
Publisher: American Meteorological Society
Abstract: his manuscript introduces a novel computational science approach for studying the impact of climate variability on precipitation. The approach uses an object-oriented connectivity algorithm that segments gridded near-global ...
Precipitation Estimation from Remotely Sensed Imagery Using an Artificial Neural Network Cloud Classification System
Publisher: American Meteorological Society
Abstract: A satellite-based rainfall estimation algorithm, Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN) Cloud Classification System (CCS), is described. This algorithm extracts ...
A Cloud-Patch Technique for Identification and Removal of No-Rain Clouds from Satellite Infrared Imagery
Publisher: American Meteorological Society
Abstract: A new cloud-patch method for the identification and removal of no-rain cold clouds from infrared (IR) imagery is presented. A cloud patch is defined as a cluster of connected IR imagery pixels that are colder than a given ...
A Deep Neural Network Modeling Framework to Reduce Bias in Satellite Precipitation Products
Publisher: American Meteorological Society
Abstract: espite the advantage of global coverage at high spatiotemporal resolutions, satellite remotely sensed precipitation estimates still suffer from insufficient accuracy that needs to be improved for weather, climate, and ...
Precipitation Identification with Bispectral Satellite Information Using Deep Learning Approaches
Publisher: American Meteorological Society
Abstract: n the development of a satellite-based precipitation product, two important aspects are sufficient precipitation information in the satellite-input data and proper methodologies, which are used to extract such information ...
Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks
Publisher: American Meteorological Society
Abstract: A system for Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN) is under development at The University of Arizona. The current core of this system is an adaptive Artificial ...
A Two-Stage Deep Neural Network Framework for Precipitation Estimation from Bispectral Satellite Information
Publisher: American Meteorological Society
Abstract: AbstractCompared to ground precipitation measurements, satellite-based precipitation estimation products have the advantage of global coverage and high spatiotemporal resolutions. However, the accuracy of satellite-based ...
Multimodel Combination Techniques for Analysis of Hydrological Simulations: Application to Distributed Model Intercomparison Project Results
Publisher: American Meteorological Society
Abstract: This paper examines several multimodel combination techniques that are used for streamflow forecasting: the simple model average (SMA), the multimodel superensemble (MMSE), modified multimodel superensemble (M3SE), and the ...