Prediction of Monthly Rainfall for Selected Meteorological Stations in Iraq using Back Propagation Algorithms

Al-Sali, Ali M.; Al-Lami, Alaa M.; Mohamme, Ali J.

doi:10.3923/jest.2013.16.28

Cited by 7 publications

(5 citation statements)

References 20 publications

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“…Rainfall is one of the main sources of freshwater resources on the earth which has a direct impact on the components of the natural environment, it affects the qualities of the soil (physical and chemical) and the productivity of plants, livestock, economies and agriculture [1]. The amount of rain falling has decreased in the last decade causing a transformation of their land into the middle and south of Iraq which is classified as an arid and semi-arid area (representing the vast majority of the Iraqi country.…”

Section: Introductionmentioning

confidence: 99%

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The Back Trajectory Study for Selected Extreme Rainfall Events Over Iraq

Mohammed,

Hashim,

Kadhum

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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The Precipitations conditions having special attention in the last decade due to their impact on human health, ecosystems and other aspects such as agriculture, and hydrology. The ECMWF ERA-Interim 15-hourly (00 and 15 UTC) total precipitations in a 1° x 1° grid covering Iraq, from 29° N to 38° N and from 39° W to 48° E, with a total of 10 by 10 cells, was used. At each grid point, extremes were defined as those events in which total precipitations were above the 90th percentile for the 25 years period 1994-2019. The aim of this work is to study the precipitation cumulative extreme events in Iraq and studying the back trajectory pathway from the origin to rejoin by using the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model. 60% of the precipitation cumulative extreme events occurred during the second decade. In all regions, there are important peaks in the cumulative precipitation events in 2006,2013,2014, 2016 and 2018 representing 40% of the cumulative perceptions events. The back-trajectories of rainfall events are associated with the advection of air masses from the Red Sea and the Arabian Gulf is the most influential on the amount of rain and the percentage of saturation of air masses that reach Iraq. The Mediterranean cyclone is the main source of rainfall in Iraq.

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Section: Introductionmentioning

confidence: 99%

“…The monthly and annual fluctuations caused difficulty in the intensity studied in these areas. The fluctuations affect not only their quantities but also the number of days they fall during the year [1]. Raindrops are formed in clouds with different forms of precipitation such as ice, snow rain and hail over most parts of the world.…”

Section: Introductionmentioning

confidence: 99%

The Back Trajectory Study for Selected Extreme Rainfall Events Over Iraq

Mohammed,

Hashim,

Kadhum

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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“…Artificial neural network (ANN) method to test the estimation of four different stations, which are Basra, Baghdad, Mosul, and Rutba, had shown good results (Al-Salihi et al 2013); testing of this method also applied in Sulaymaniyah city, northeast Iraq, and for the period of 2013-2018, the results of ANN provide a good estimation up to 91.5% of accuracy (Murad and Jaff 2020).…”

Section: Introductionmentioning

confidence: 99%

Missing rainfall data estimation—an approach to investigate different methods: case study of Baghdad

Abdullah

Al‐Ansari

2022

Arab J Geosci

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The missing of the meteorological data in Iraq is common due to malfunction of measuring devices, security status, and human effects. The study tested 17 missing precipitation data estimation methods in Baghdad city as a case study, where, all the surrounding stations around Baghdad experienced the missing of data for various reasons, and some of the missing data are for a full year record. The methods examined in this study are based on different approaches, some of the methods are based upon the distances to the targeted station, others are upon regression factors, and there are also methods that combine several factors. There are also other types of missing data filling methods which depend on imputation and artificial intelligence. The investigation of the most accurate method to find the missing data will assist researchers and decision makers to fill the gap in their analysis in one of the most vulnerable countries in terms of drought and climate changes impacts. Results showed that Expectation Maximization (EM) method utilization has the best results with the least errors, and Multiple Linear Regression (MLR) method was ranked the second best method. In general, all of the applied methods had resulted acceptable interpolations, and it was clear that the combined methods have low significance on the results in comparison with others. All of these findings are limited to the study area meteorological and spatial conditions.

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“…Air traffic management research has been using several methods and detailed practices for modelling the terminal area and airport capacity. Many methods used in order to validate the accuracy of precipitation forecasts [9].…”

Section: Introductionmentioning

confidence: 99%

Assessment of rainfall trend at the airports using non-parametric statistics approach

Hamzah¹

2019

IJATCSE

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Rainfall plays an important role in generating hydrological cycles which in turn affects local micro-climate such as territories, municipalities and so on. This study attempts to identify trend and differences of annual precipitation across three airports in Peninsular Malaysia namely Kuala Lumpur International Airport, Sultan Abdul Aziz Shah Airport and Senai International Airport. Mann-Kendall and Sen's slope estimator were used to identify monotonic trend for rainfall distribution meanwhile, Kruskal-Wallis is used to determine if samples come from the same distribution. Analysis shows existence of positive monotonic trend for Abdul Aziz Shah Airport and Senai International Airport while there is no significant trend at Kuala Lumpur International Airport. Kruskal-Wallis test shows that annual precipitation from the three airports are different and do not come from the same population. Investigating the trend of climate change parameters is very important for future analysis since climate change impacts most global issues.

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Prediction of Monthly Rainfall for Selected Meteorological Stations in Iraq using Back Propagation Algorithms

Cited by 7 publications

References 20 publications

The Back Trajectory Study for Selected Extreme Rainfall Events Over Iraq

The Back Trajectory Study for Selected Extreme Rainfall Events Over Iraq

Missing rainfall data estimation—an approach to investigate different methods: case study of Baghdad

Assessment of rainfall trend at the airports using non-parametric statistics approach

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