The increasing availability of precipitation observations from space, e.g., from the Tropical Rain7 fall Measuring Mission (TRMM) and the forthcoming Global Precipitation Measuring (GPM) mission, has 8 fueled renewed interest in developing frameworks for downscaling and multi-sensor data fusion that can 9 handle large data sets in computationally efficient ways while optimally reproducing desir...

This study examines the spatial and temporal variability in the diurnal cycle of clouds and precipitation tied to topography within the North American Monsoon Experiment (NAME) tier-I domain during the 2004 NAME enhanced observing period (EOP, July–August), with a focus on the implications for highresolution precipitation estimation within the core of the monsoon. Ground-based precipitation ret...

of a thesis presented to the Faculty of the University at Albany, State University of New York in partial fulfillment of the requirements for the degree of Master of Science College of Arts and Sciences Department of Earth and Atmospheric Sciences Matthew D. Greenstein 2006 ABSTRACT While forecasters can predict likely areas of precipitation, problems remain inWhile forecasters can predict like...

Based on high-density gauge precipitation observations, high-resolution weather radar quantitative precipitation estimation (QPE) and seamless satellite-based precipitation estimates, a 1-km experimental gauge-radar-satellite merged precipitation dataset has been developed using the proposed local gauge correction (LGC) and optimal interpolation (OI) merging strategies. First, hourly precipitat...

Improving water management in water stressed-regions requires reliable seasonal precipitation predication, which remains a grand challenge. Numerous statistical and dynamical model simulations have been developed for predicting precipitation. However, both types of models offer limited seasonal predictability. This study outlines a hybrid statistical-dynamical modeling framework for predicting ...

precipitation data is of utmost importance to carry out many hydro-meteorological studies. observed warming over several decades has been linked to changes in the large-scale hydrological cycle such as: increasing atmospheric water vapour content, changing precipitation patterns, intensity and extremes, reduced snow cover and widespread melting of ice, and changes in soil moisture and runoff. p...

This study aims at predicting the Standard Precipitation Index (SPI) drought class transitions in Portugal, considering the influence of the North Atlantic Oscillation (NAO) as one of the main large-scale atmospheric drivers of precipitation and drought fields across the Western European and Mediterranean areas. Log-linear modeling of the drought class transition probabilities on three temporal...

Knowledge of the relationship between model parameters and forecast quantities is useful because it can aid in setting the values of the former for the purpose of having a desired effect on the latter. Here it is proposed that a well-establishedmultivariate statistical method known as canonical correlation analysis can be formulated to gauge the strength of that relationship. Themethod is appli...

A geostatistical framework is proposed to downscale daily precipitation and temperature. The methodology is based on multiple-point geostatistics (MPS), where a multivariate training image is used to represent the spatial relationship between daily precipitation and daily temperature over several years. Here the training image consists of daily rainfall and temperature outputs from the Weather ...