An Evaluation Graph of Hourly Rainfall Estimation in Malang

International Conference On Tropical Meteorology And Atmospheric Sciences

生态环境科学;原子能学

Putra, R.M.^1 ; Kurniawan, A.^2 ; Rangga, I.A.^2 ; Ryan, M.^2 ; Endarwin^1 ; Luthfi, A.^1

Agency for Meteorology, Climatology, and Geophysics, Angkasa I Street No.2, Kemayoran, Capital Jakarta

10620, Indonesia^1

State College of Meteorology Climatology and Geophysics, Perhubungan I Street No.5, Pondok Betung, South Tangerang

15221, Indonesia^2

关键词: Binary transformation;    Estimation methods;    Evaluation graphs;    Malang;    Rainfall estimations;    Rainfall intensity;    Temporal resolution;    Verification data;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/303/1/012031/pdf
DOI  :  10.1088/1755-1315/303/1/012031

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

Satellite-based rainfall estimation is evolving rapidly. Most studies use data, which is spatially fine, but poorly regarding time. On the other hand, availability of verification data is also quite rare. This study used Hillman Form B report that was corrected by ME-48 from Malang Climatological Station. 2009-2016 IR1 satellite data were used in hourly temporal resolution (only less than 3% data missing). Four estimation methods were compared: Auto Estimator, CST, mCST, and Quantile Analysis Equation. Data processing was carried out using Python and R statistic as a quality control. The analysis was done by creating a graph that combines False Alarm and Miss Information for each rainfall intensity. Binary transformation was done for enabling information to be plotted. All rainfall estimation methods have a high false alarm (more than 74% at 1 mm) but quite low miss (less than 0.03%). By taking into account its error pattern, satellite data can be used in rainfall observation. The Quantile equation is slightly superior to other methods. This study is relatively inexpensive to be duplicated so it can be used as an evaluation tool for rainfall estimation best practice for Meteorological and Climatological Agency's network.