Journals Information
Environment and Ecology Research Vol. 11(4), pp. 647 - 659
DOI: 10.13189/eer.2023.110411
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Trends and Projections Analysis of Precipitation and Temperature Data Using CCSM4 and GSMaP_NRT: Case Study in Sohar, Sultanate of Oman
Mohamed Afandy 1,*, Ali AlAmrani 2, Osama Ibrahim 3,4, Salma Al Maghawry 3
1 Department of Civil and Architectural Engineering, Sultan Qaboos University, Oman
2 Department of Civil Engineering, Bauhaus University, Germany
3 Department of Civil Engineering, Sohar University, Oman
4 Department of Hydraulic and Irrigation Structures, Faculty of Engineering, Alexandria University, Egypt
ABSTRACT
Planning for sustainable development requires accurate information on potential future climatic changes. Such climatic information is provided by global climate models (GCMs). One of the key factors determining how biological systems respond to human-caused climate change is variation in temperature and precipitation volume and intensity. The implementation of remote sensing technologies is expanding and increasing in popularity, especially in the context of GCM. However, data are influenced by inaccuracies, even though they are frequently utilized, so correction is necessary. Recent studies show that satellite-based rainfall estimations are inaccurate and have lower values that need to be corrected [1]. In Sohar, Oman, ground station rainfall data were compared with satellite data from several sources, including Community Climate System Model 4 (CCSM4) and GSMaP_NRT, to assess the correctness of the data. During the evaluation of precipitation, temperatures, and observed and anticipated climatic trends, all sources overestimated the data, particularly rainfall in the summer months. The CCSM4 and GSMaP_NRT data differed from ground station data. Nevertheless, it is possible to improve the data to make sufficiently accurate estimates. When compared to monitoring with a single ground station, using this satellite data will yield significant advantages in terms of cost-effectiveness, geographic distribution and coverage, timely issuance, and accuracy with additional or improved inputs.
KEYWORDS
Climate Change, Precipitation, CCSM4, GSMaP_NRT
Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Mohamed Afandy , Ali AlAmrani , Osama Ibrahim , Salma Al Maghawry , "Trends and Projections Analysis of Precipitation and Temperature Data Using CCSM4 and GSMaP_NRT: Case Study in Sohar, Sultanate of Oman," Environment and Ecology Research, Vol. 11, No. 4, pp. 647 - 659, 2023. DOI: 10.13189/eer.2023.110411.
(b). APA Format:
Mohamed Afandy , Ali AlAmrani , Osama Ibrahim , Salma Al Maghawry (2023). Trends and Projections Analysis of Precipitation and Temperature Data Using CCSM4 and GSMaP_NRT: Case Study in Sohar, Sultanate of Oman. Environment and Ecology Research, 11(4), 647 - 659. DOI: 10.13189/eer.2023.110411.