Improved radar rainfall estimation at ground level
نویسندگان
چکیده
منابع مشابه
Rainfall estimation and ground clutter rejection with dual polarization weather radar
Conventional radars, used for atmospheric remote sensing, usually operate at a single polarization and frequency to estimate storm parameters such as rainfallrate and water content. Because of the high variability of the drop size distribution conventional radars do not succeed in obtaining detailed information because they just use horizontal reflectivity. The potentiality of the dual-polarize...
متن کاملRadar estimates of rainfall rates at the ground in bright band and non-bright band events
The major error in estimating precipitation rates at the ground from radar arises from the change in radar reflectivity (Z) with height. In stratiform precipitation Z rises in the ‘bright band’, where the snow is melting, and then falls steeply in the dry ice above. In regions of vigorous convection containing graupel, the bright band is absent and the fall in Z with height is less marked. If a...
متن کاملDevelopment of a window correlation matching method for improved radar rainfall estimation
Papers published in Hydrology and Earth System Sciences Discussions are under open-access review for the journal Hydrology and Earth System Sciences Abstract The present study develops a method called window correlation matching method (WCMM) to reduce collocation and timing errors in matching pairs of radar measured reflectivity, Z e , and gauge measured rainfall intensity, R, for improving th...
متن کاملDual-Polarization Radar Rainfall Estimation over Tropical Oceans
Dual-polarization radar rainfall estimation relationships have been extensively tested in continental and subtropical coastal rain regimes, with little testing over tropical oceans where the majority of rain on Earth occurs. A 1.5-yr Indo-Pacific warm pool disdrometer dataset was used to quantify the impacts of tropical oceanic drop-size distribution (DSD) variability on dual-polarization radar...
متن کاملInvestigating rainfall estimation from radar measurements using neural networks
Rainfall observed on the ground is dependent on the four dimensional structure of precipitation aloft. Scanning radars can observe the four dimensional structure of precipitation. Neural network is a nonparametric method to represent the nonlinear relationship between radar measurements and rainfall rate. The relationship is derived directly from a dataset consisting of radar measurements and r...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Natural Hazards and Earth System Sciences
سال: 2006
ISSN: 1684-9981
DOI: 10.5194/nhess-6-323-2006