Abstract

Nowadays, the long-term climatic data supplied by the famous internet sites, plays an important role in analyzing and mapping of various climatic features (temperature, precipitation, solar radiation … etc.). Precipitation is one of the important elements in agriculture. It is a major field in climatological studies. Studying precipitation is important to identify precipitation characteristics; temporal and spatial variability. In the present study, extract for each (0.5*0.5) degree grid cell of the monthly precipitation data for the year 2016 except the summer months (June - July - August) using the GPCC Visualizer website is applied for Iraq country. Kriging interpolation method within the environment of ArcGIS10.3 program, the average monthly and seasonal precipitation maps are drawn. The study revealed the possibility to use the more popular website sources of historical climate datasets to compensate the lack of climate data available from the meteorological stations in Iraq, which is often difficult to obtain recent data..

Highlights

  • The weather plays a critical role in eco-environmental and agricultural systems all over the world

  • The Extract dataset of the precipitation was selected from the Global Precipitation Climatology Centre (GPCC) Land surface Full Data Monthly Product Version 2018 mode at the spatial grid resolution of 0.50 latitude x 0.50 longitude for every month and season of the year 2010

  • Nine monthly text files and three seasonal text files of the precipitation for Iraq boundary were downloaded from GPCC VISUALIZER website for one year from January to December 2016

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Summary

Introduction

The weather plays a critical role in eco-environmental and agricultural systems all over the world. These websites are considered as an important source of climate data, which is difficult to obtain from the meteorological stations distributed for example in Iraq, which required exorbitant amount to get it. We will give an outline of the integration between a long-term precipitation data from a well-known climatic website and the GIS application tools that used for modeling and mapping the spatial climatic dataset of precipitation in Iraq at 2016.

Results
Conclusion
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