Abstract

The aim of this paper is evaluated and compares between Iraqi gauges in the Middle Euphrates region and TRMM rainfall data during the period from 1998 to 2017. Middle Euphrates Region, whose Area is 26611 km2 was selected as a study area. Two sets of Iraqi data gauges and Tropical Rainfall Measuring Mission (TRMM) average monthly rainfall data were used for analysis. Rainfall data were acquired from two sources, Iraqi Meteorological Organization and Seismology (IMOAS) and Giovanni website to download TRMM v7 0.25-degree data. Data collected from five stations in the study area and these stations are, Dewaniya, Hilla, Karbala, Najaf, and Semawa. Statistical analysis indices such as bias, root mean square error (RMSE), and R-Square were used to comparison between data. Monthly and seasonally comparison approaches have been used to understand the relationships, trends and error propagations between two data sets for five gauges’ station. The final results of monthly comparison approach were illustrated that some of the months have good agreements for each to other and other months have medium and weak agreements between two data sets in all five stations which mentioned above. Also, the results of seasonally comparison approach were illustrated that some of the seasons have good agreements for each to other and other seasons have medium and weak agreements between two data sets in all five stations which mentioned above. There are high values of Bias and RMSE between some months and some seasons of two data sets in all stations; this meaning there are high shifting between them.

Highlights

  • Rainfall is the most important forcing data for hydrological models and the prime necessity of life on Earth [1]

  • This paper aims to evaluate and compare between five stations of Iraqi gauges in the Middle Euphrates region and Tropical Rainfall Measuring Mission (TRMM) V7 rainfall data during the period from 1998 to 2017 over Middle Euphrates Region

  • There are good agreements between two sets of data in September and medium agreement in April, May, and November, on the other hand, there is a weak agreement in the other months in this station

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Summary

Introduction

Rainfall is the most important forcing data for hydrological models and the prime necessity of life on Earth [1]. Accurate estimation of rainfall is crucial for crop yield assessment, water resource management and flood and drought monitoring. Rainfall is measured using rain gauges, an instrument that accurately measures the actual amount of rain that falls over it [2]. Rain gauge measurements are usually limited by their spatial coverage. A network of weather radars provides good spatial and temporal coverage. Remote sensing techniques using space-borne sensors provide an excellent complement to continuous monitoring of rain event both spatially and temporally [3]. These sensors do not measure rain directly, but the reflection of electromagnetic waves from the falling droplets over a volume. The objectives of TRMM are to measure rainfall and energy (i.e., latent heat of condensation) exchange of tropical and

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