This study evaluated the National Centers for Environmental Prediction (NCEP) Global Forecast System (GFS) forecast bias in different precipitation (light rain, moderate rain, heavy rain and very heavy rain) by comparing the ground-based observations in three countries. Then the correlations between GFS precipitation forecast errors and the aerosol loading are investigated extensively to examin...

[1] Warm rain occurs in low‐level liquid water clouds and does not involve an ice‐phase process. Comprising many state‐of‐the‐art passive and active instruments, the NASA A‐Train series of satellites provide comprehensive simultaneous information about warm clouds and their precipitation processes. This study exploits multi‐sensor data from the A‐Train satellite constellation to investigate the...

Improving the quality of atmospheric precipitation measurements is crucial in view minimizing uncertainty weather forecasting, climate change impact assessment, water resource assessment and management, drought flood prediction. Remote sensing technology has considerably improved spatio-temporal precipitation. Despite advancement remote technology, there a need to investigate robust approach to...

Microwave brightness temperatures are obtained from the SeaWinds scatterometer on the QuikSCAT satellite. These QuikSCAT Radiometer (QRad) measurements are used to infer instantaneous oceanic rain rates using a statistical retrieval algorithm that is based upon collocated TMI measurements. QRad instantaneous rain rate measurements have been binned in 0.5 hour local time windows onto a 0.5° x 0....

This paper describes two methods for generating synthetic rain rate time-series capable of being used to simulate the performance of radio communication systems operating above 10 GHz. Rain rates are modelled because they are widely available and because an approximate link to signal attenuation can be established owing to the significant correlation between them. The proposed models are based ...

Image deraining is a low-level restoration task that has become quite popular during the past decades. Although recent data-driven models exhibit promising results, most of these are trained on synthetic rain data sets which do not generalize well when applied to real images. While real-rain have achieved favorable generalization performance, generating rain-free ground-truths can be tedious an...

Short Title: Spatial-Temporal Statistics of Rain. Abstract Rain rate near the ground can be interpreted as a collection of random variables forming a random field parameterised by three coordinates: two spatial coordinates and one temporal. Interest among the radio propagation community has been focused on the first order statistics of these random variables, principally on the average annual p...

By definition, steady rain should have a nearly constant rainfall rate. Thus far, however, the criteria for determining when rain is steady remain qualitative and arbitrary. The authors suggest a definition for steadiness that can be used to quantify the elusive notion of natural variability. In particular, the logical criteria for steadiness imply statistical stationarity and lack of correlati...

The visual effects of rain are complex. Rain removal is a very useful technique in applications such as security surveillance, video editing, vision based navigation, and video indexing/retrieval. Rain produces sharp intensity variation in images and videos, which put down the performance of outdoor vision systems. These intensity variations depend on different parameters, such as the camera pr...

Accurate rain estimation from radar measurements has been a difficult task due to the variation of raindrop size distribution (DSD), lack of accurate axis ratio model, measurement error, clutter, and so forth. Previously, rain estimation from weather radars has been largely dependent upon empirical relations such as R-Z relations. The development of polarimetric radar makes accurate rain DSD re...