The study examines the changes in climatic elements and agronomic parameter (maize hectarage and output) for maize production in different ecological zones of Nigeria from 1980 2002. The study also evaluated the degree of variability in these parameters. To achieve these objectives, secondary data on climatic elements and agronomic parameters for 22years were analysed using two – way Analysis o...

australian rainfall is related with numerous key climate predictors namely el-nino southern oscillation (enso), indian ocean dipole (iod) and southern annular mode (sam). some studies have tried to discover the effects of these climate predictors on rainfall variability of different parts of australia, particularly western australia, queensland and victoria. nonetheless, clear association betwe...

Irene was the most destructive tropical cyclone (TC) of the 2011 Atlantic hurricane season due to flooding from rainfall. This study used a Geographic Information System to identify TCs with similar tracks and examine the spatial attributes of their rainfall patterns. Storm-total rainfall was calculated from the Unified Precipitation Dataset for 11 post-1948 storms and statistics corresponding ...

The accurate assessment of spatiotemporal rainfall variability is a crucial and challenging task in many hydrological applications, mainly due to the lack of a sufficient number of rain gauges. The purpose of the present study is to investigate the spatiotemporal variations of annual and monthly rainfall over Fujian province in China by combining the Bayesian maximum entropy (BME) method and sa...

The authors analyze information from rain gauges, geostationary infrared satellites, and low earth orbiting radar in order to describe and characterize the submesoscale ( 75 km) spatial pattern and temporal dynamics of rainfall in a 50 km 75 km study area located in Sonora, Mexico, in the periphery of the North American monsoon system core region. The temporal domain spans from 1 July to 31 Aug...

Rainfall, one of the important elements of the hydrologic cycle, is also the most difficult to model. Thus, accurate rainfall estimation is necessary especially in localized catchment areas where variability of rainfall is extremely high. Moreover, early warning of severe rainfall through timely and accurate estimation and forecasting could help prevent disasters from flooding. This paper prese...

The hydroclimatic association between the monthly Indian summer monsoon rainfall and a proposed monthly composite index (MCI) of large-scale atmospheric circulations from the Pacific Ocean and Indian Ocean regions is established. The spatial variability of this association is also checked. The predictability of the monthly Indian summer monsoon rainfall using the MCI is also investigated and is...

Results of numerous evaluation studies indicated that satellite-rainfall products are contaminated with significant systematic and random errors. Therefore, such products may require refinement and correction before being used for hydrologic applications. In the present study, we explore a rainfall-runoff modeling application using the Climate Prediction Center-MORPHing (CMORPH) satellite rainf...

The new IMERG and GSMaP-v6 satellite rainfall estimation (SRE) products from the Global Precipitation Monitoring (GPM) mission have been available since January 2015. With a finer grid box of 0.1◦, these products should provide more detailed information than their latest widely-adapted (relatively coarser spatial scale, 0.25◦) counterpart. Integrated Multi-satellitE Retrievals for GPM (IMERG) a...

Effects of future warming on rainfall patterns are difficult to predict because of interactions with complex regional climate systems. Average expectations are for significant drying in southern Australia, with risk of much greater drying. The mainstream Australian science estimates that there may be a 10 per cent chance of a small increase in average rainfall, accompanied by much higher temper...