ePub RAINFALL ESTIMATION: QUANTITATIVE MODELLING OF RAINFALL AMOUNTS IN DIFFERENT ECO-CLIMATIC REGIONS OF NIGERIA download
by Gideon Ufoegbune

The key parameters of the model developed were Cold Cloud Duration and rainfall producing mechanisms.
The key parameters of the model developed were Cold Cloud Duration and rainfall producing mechanisms. CCD data and rainfall data from existing gauging stations in the different eco-climatic regions of Nigeria for 10 years (1996-2005) were used for this study. Consequently step-wise multiple regression models were run at two levels. The first level had CCD, ITD, DL, and P as the major independent variables, while the second level included CNT in the models.
The study is assessing the impact of cropping systems on the transpiration efficiency of selected maize varieties using simplified method.
The relative magnitude of TMPA rain event accumulation compared to rain gage accumulation is noted to be smaller . Islam MdN, Uyeda H (2007) Use of TRMM in determining the climatic characteristics of rainfall over Bangladesh. Remote Sens Environ 108(3):264–276CrossRefGoogle Scholar.
The relative magnitude of TMPA rain event accumulation compared to rain gage accumulation is noted to be smaller for urbanized watersheds and high intensity events. The correlation of TMPA accuracy with temperature and relative humidity and the analysis of accuracy by season indicate TMPA is more accurate for convective rainfall events. Jiang H, Halverson JB, Zipser EJ (2008) Influence of environmental moisture on TRMM-derived tropical cyclone precipitation over land and ocean.
Keywords: Spatial distribution, Climate change, Climatic regions, Rainfall and Air temperature. 1. Introduction Rainfall is one of the key climatic variables that affects both the spatial and temp oral patterns of water availability.
Rainfall trend analyses, on different spatial and temporal scales, have .
Rainfall trend analyses, on different spatial and temporal scales, have been of great concern to scientists in the past century (Longobardi and Villani, 2010). Figure 1 shows the plots of time series, with a plot for each region of the country: Sokoto (North-West), Jos (North-Central), Maiduguri (North-East), Ibadan (South-West), Portharcourt (South-South) and Enugu (South-East).
The aim of rainfall climatology is to measure, understand and predict rain distribution across different regions of planet Earth, a factor of. .The urban heat island effect leads to increased rainfall, both in amounts and intensity, downwind of cities.
Current technologies accurately predict rainfall 3–4 days in advance using numerical weather prediction.
Analyses of rainfall variability utilized rainfall anomaly index, coefficients of variance, and probability analyses. Spline, Kriging, and inverse distance weighting interpolation techniques were assessed using daily rainfall data and digital elevation model using ArcGIS. Validation of these interpolation methods was evaluated by comparing the modelled/generated rainfall values and the observed daily rainfall data using root mean square errors and mean absolute errors statistics
That call offers at once a common base, an open and multidirectional ambition, and many good reasons for unambiguous tribute. The authors brought together in this volume include key players in Translation Studies who have responded to Toury's challenge in one way or another.
Monthly rainfall data in Burkina-Faso, West Africa, over a period of 77 years are extracted from three different gridded data sets .
This uncertainty has severely restricted the scope of rainfall-runoff modelling applications; the implications for coupled models, for example of water quality, are only now being explored. These provide a powerful analytical capability to support model development and application.
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