Identifying Individual Rain Events with a Dense Disdrometer Network
نویسندگان
چکیده
منابع مشابه
Disdrometer Network Observations of Finescale Spatial–Temporal Clustering in Rain
The spatial clustering of drops is a defining characteristic of rain on all scales fromcentimeters to kilometers. It is the physical basis formuch of the observed variability in rain. The authors report here on the temporal–spatial 1-min counts using a network of 21 optical disdrometers over a small area near Charleston, South Carolina. These observations reveal significant differences between ...
متن کاملImproving Parameterization of Rain Microphysics with Disdrometer and Radar Observations
Disdrometer observations indicate that the raindrop size distribution (DSD) can be represented by a constrained-gamma (CG) distribution model. The model is used to retrieve DSDs from polarization radar measurements of reflectivity and differential reflectivity and to characterize rain microphysics and physical processes such as evaporation, accretion, and precipitation. The CG model parameteriz...
متن کاملTesting a Polarimetric Rainfall Algorithm and Comparison with a Dense Network of Rain Gauges
The paper presents an analysis of the performance of different radar algorithms for rainfall estimation. These are the conventional one based on radar reflectivity factor Z and three polarimetric estimators utilizing different combinations of Z, specific differential phase KDP, and differential reflectivity ZDR. A dense micronetwork of 42 gauges in central Oklahoma, USA, is used for validating ...
متن کاملIdentifying Individual Facial Expressions by Deconstructing a Neural Network
This paper focuses on the problem of explaining predictions of psychological attributes such as attractiveness, happiness, confidence and intelligence from face photographs using deep neural networks. Since psychological attribute datasets typically suffer from small sample sizes, we apply transfer learning with two base models to avoid overfitting. These models were trained on an age and gende...
متن کاملError in the Sampling Area of an Optical Disdrometer: Consequences in Computing Rain Variables
The aim of this study is to improve the estimation of the characteristic uncertainties of optic disdrometers in an attempt to calculate the efficient sampling area according to the size of the drop and to study how this influences the computation of other parameters, taking into account that the real sampling area is always smaller than the nominal area. For large raindrops (a little over 6 mm)...
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: Advances in Meteorology
سال: 2015
ISSN: 1687-9309,1687-9317
DOI: 10.1155/2015/582782