We examined the relation between chloride concentration and the area of complexed chloride of Medtronic's Cystic Fibrosis Indicator System, using a high-resolution x-y coordinated digitizer to measure the circumference of the chloride precipitation ring. These digitized points were entered directly into an IBM PC computer, where the area of the chloride precipitation was calculated with use of ...

A new hidden Markov model (HMM) for the space-time evolution of daily rainfall is developed which models precipitation within hidden regional weather types by censored power-transformed Gaussian distributions. The latter provide flexible and interpretable multivariate models for the mixed discrete-continuous variables that describe both precipitation, when it occurs, and no precipitation. Param...

Spaceborne precipitation radars are powerful tools used to acquire adequate and highquality precipitation estimates with high spatial resolution for a variety of applications in hydrological research. The Global Precipitation Measurement (GPM) mission, which deployed the first spaceborne Kaand Ku-dual frequency radar (DPR), was launched in February 2014 as the upgraded successor of the Tropical...

Accurate and consistent rainfall observations are vital for climatological studies in support of better planning and decision making. However, estimation of accurate spatial rainfall is limited by sparse rain gauge distributions. Satellite rainfall products can thus potentially play a role in spatial rainfall estimation but their skill and uncertainties need to be under-stood across spatialtime...

1 Introduction Accurate quantitative precipitation estimation (QPE) is one of the most important elements in meteorological and hydrologic analyses. It has been long recognized, however, that rain gauge networks are usually inadequate because of their limited distribution. During the last decades intense scientific efforts have been devoted to utilize remote sensing information for the estimati...

Yuxiang He 1,2,* ID , Yu Zhang 3, Robert Kuligowski 4, Robert Cifelli 5 and David Kitzmiller 1 1 Office of Water Prediction (OWP), National Weather Service (NWS), NOAA, Silver Spring, MD 20910, USA; [email protected] 2 University Corporation for Atmospheric Research (UCAR), Boulder, CO 80307, USA 3 University of Texas at Arlington, Arlington, Texas 76019, USA; [email protected] 4 NOAA/NE...

This paper presents a new and enhanced fusion module for the Multi-Sensor Precipitation Estimator (MPE) that would objectively blend real-time satellite quantitative precipitation estimates (SQPE) with radar and gauge estimates. This module consists of a preprocessor that mitigates systematic bias in SQPE, and a two-way blending routine that statistically fuses adjusted SQPE with radar estimate...