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RISLMODEL: A Satellite Precipitation Methodology Using Cloud Development Modeling. Part I: Algorithm Construction and Calibration
Publisher: American Meteorological Society
Abstract: The Lagrangian Model (LMODEL) is a new multisensor satellite rainfall monitoring methodology based on the use of a conceptual cloud-development model that is driven by geostationary satellite imagery and is locally updated ...
LMODEL: A Satellite Precipitation Methodology Using Cloud Development Modeling. Part II: Validation
Publisher: American Meteorological Society
Abstract: A new satellite-based rainfall monitoring algorithm that integrates the strengths of both low Earth-orbiting (LEO) and geostationary Earth-orbiting (GEO) satellite information has been developed. The Lagrangian Model ...
A Statistical Model for the Uncertainty Analysis of Satellite Precipitation Products
Publisher: American Meteorological Society
Abstract: arth-observing satellites provide a method to measure precipitation from space with good spatial and temporal coverage, but these estimates have a high degree of uncertainty associated with them. Understanding and quantifying ...
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 ...
Retrospective Analysis and Bayesian Model Averaging of CMIP6 Precipitation in the Nile River Basin
Publisher: American Meteorological Society
Evaluation of PERSIANN-CCS Rainfall Measurement Using the NAME Event Rain Gauge Network
Publisher: American Meteorological Society
Abstract: Robust validation of the space?time structure of remotely sensed precipitation estimates is critical to improving their quality and confident application in water cycle?related research. In this work, the performance of ...
Evaluating the Utility of Multispectral Information in Delineating the Areal Extent of Precipitation
Publisher: American Meteorological Society
Abstract: Data from geosynchronous Earth-orbiting (GEO) satellites equipped with visible (VIS) and infrared (IR) scanners are commonly used in rain retrieval algorithms. These algorithms benefit from the high spatial and temporal ...
PERSIANN-MSA: A Precipitation Estimation Method from Satellite-Based Multispectral Analysis
Publisher: American Meteorological Society
Abstract: Visible and infrared data obtained from instruments onboard geostationary satellites have been extensively used for monitoring clouds and their evolution. The Advanced Baseline Imager (ABI) that will be launched onboard ...
Bias Adjustment of Satellite Precipitation Estimation Using Ground-Based Measurement: A Case Study Evaluation over the Southwestern United States
Publisher: American Meteorological Society
Abstract: Reliable precipitation measurement is a crucial component in hydrologic studies. Although satellite-based observation is able to provide spatial and temporal distribution of precipitation, the measurements tend to show ...
Evaluation of the PERSIANN-CDR Daily Rainfall Estimates in Capturing the Behavior of Extreme Precipitation Events over China
Publisher: American Meteorological Society
Abstract: his study evaluates the performance of a newly developed daily precipitation climate data record, called Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks?Climate Data Record ...