Comparison between some meteorological elements measured by ECMWF and Earth stations in different regions in Iraq

The aim of this paper is to validate the data of three meteorological elements Air Temperature (Ta) , Relative Humidity (RH), Wind Speed (WS) from the European Center For-Medium Range Weather Forecasting (ECMWF) , against ground stations data using several Models at six stations well distributed in Iraq (Mosul, Kirkuk, Baghdad, Kut, Nasiriya, and Basra). Due to the difficulties which experienced by the ground climate stations in Iraq from a shortage of devices and equipment for measuring the various climatic elements, which led to a huge shortage of data throughout time for political, economic and natural disasters. It is found that researchers can adopt the data of satellite stations to monitor the climate because let’s found that there is a highly significance Correlations between the data of these stations and the data of the ground stations for climate monitoring Five Mathematical Models were used for that [Linear Models, Quadratic Models, Exponential Models, Logarithmic Models, and Power Models]. The performance of these models were evaluated by comparing the calculated (Ta, RH, WS) from earth stations. Those mathematical correlations help to be able to calculate the ground data in state of there is no ground climate stations data. Several statistical tests Correlation Coefficient (R), Coefficient of Determination (R2), Root Mean Square Error (RMSE), Mean Absolute Error (MAE) were used to control the validation and goodness of these Models. The R2 obtained from these Models were very high in all stations. This means that, there is a highly significance Correlations between (Ta, RH, WS) estimated and [Ta, RH, WS] measured in all statio

Empirical models for the correlations of the mean monthly values of Speed with meteorological parameters in Ninava Governorate -IRAQ wind

ABSTRACT: The aim of this paper is to estimate the mean monthly values of wind speed in five meteorological stations (Mosul, Rabea, Sinjar, Talafar, Baag) using different meteorological parameters. Multiple Regression Equations were used to estimate the mean monthly values of wind speed. The performance of this regression models were evaluated by comparing the calculated and measured values of wind speed. Several statistical test were used to control the validation and goodness of the regression models in terms of correlation coefficient, coefficient of determination, Mean Absolute Error, and Root Mean Square Error. The coefficient of determination (R 2 ) for the regression models using two parameters were ranged between (0.69-0.96) and (R 2 ) for the regression models using all the parameters were very high and ranged between (0.94 -0.98)