Analysis of Rainfall Data based on GSMaP and TRMM towards Observations Data in Yogyakarta

Humanosphere Science School 2017; 7th International Symposium for a Sustainable Humanosphere

地球科学;经济学

Sofiati, I.^1 ; Avia, L.Q.^1

Indonesian National Institute of Aeronautics and Space (LAPAN), Jln. Dr. Djundjunan No. 133, Bandung

40173, Indonesia^1

关键词: In-situ data;    Observation Period;    Rainfall data;    Satellite data;    Satellite mapping;    Seasonal datum;    Tropical rainfall measuring missions;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/166/1/012031/pdf
DOI  :  10.1088/1755-1315/166/1/012031

来源: IOP

【 摘 要 】

In reality, to obtain a complete and representative rainfall observations data in a particular area is quite difficult. Therefore, to complement the existence of rainfall data, satellite data is used, so the rainfall data can got by us for a region that has limited equipment, then the characteristics of rainfall can knew by us in that region. The purpose of this study is to analyzed the validity of GSMaP (Global Satellite Mapping of Precipitation) and TRMM (Tropical Rainfall Measuring Mission) data with in-situ rainfall data in Yogyakarta during the period (2012-2016). The method used is to process GSMaP and TRMM data into daily, decade, monthly, and seasonal data to compare with in situ data and perform statistical tests. Based on the results it can be seen that during the observation period for DJF (December-January-February), the highest GSMaP and TRMM rainfall correlations occur in decade-1 and decade-3 respectively. In MAM (March-April-May), GSMaP (decade-2) and TRMM (decade-1), while in JJA (June-July-August) for GSMaP (decade-2) and TRMM (decade-3), and in SON (September-October-November) for GSMaP (decade-3) and TRMM (decade-2). Therefore it can be concluded that the correlation between GSMaP and TRMM with in situ data, the best occurs on average in decade-2 and decade-3.