Recent research has shown that neural network techniques can be used successfully for ground rainfall estimation from radar measurements. The neural network is a nonparametric method for representing the relationship between radar measurements and rainfall rate. The relationship is derived directly from a dataset consisting of radar measurements and rain gauge measurements. The effectiveness of...

A detailed intercomparison was performed for the period January 1998–June 1999 of three different sets of rainfall observations over the watershed covered by the National Weather Service Arkansas–Red Basin River Forecast Center (ABRFC). The rainfall datasets were 1) hourly 4-km-resolution ABRFC-produced P1 estimates, 2) 15-min 2-km resolution NOWrad estimates produced and marketed by Weather Se...

Pattern recognition is the science of data structure and its classification. There are many classification and clustering methods prevalent in pattern recognition area. In this research, rainfall data in a region in Northern Iran are classified with natural breaks classification method and with a revised fuzzy c-means (FCM) algorithm as a clustering approach. To compare these two methods, the r...

Limnimeter and Rain Gauge FDI in Sewer Networks 1 using an Interval Parity Equations based Detection Approach 2 and an Enhanced Isolation Scheme 3 4 Vicenç Puig, Joaquim Blesa 5  6 Advanced Control Systems Group (SAC), Institute of Robotics and Industrial Informatics (IRI-CSIC) ,Universitat 7 Politècnica de Catalunya (UPC), Pau Gargallo, 5 ,08028 Barcelona, Spain 8 (e-mail: [email protected]...