2019
DOI: 10.1088/1742-6596/1282/1/012021
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Is TRMM product good proxy for gauge precipitation over peat land area of the South Sumatera?

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Cited by 9 publications
(6 citation statements)
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“…The SESAME equipment system has been installed in Kalimantan since 2018, therefore the data used in this study is data from that year. The Peat and Mangrove Restoration Agency manage SESAME [16][17].…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The SESAME equipment system has been installed in Kalimantan since 2018, therefore the data used in this study is data from that year. The Peat and Mangrove Restoration Agency manage SESAME [16][17].…”
Section: Methodsmentioning
confidence: 99%
“…Research to determine the dynamics of these parameters during the extreme dry season and an extremely rainy season is very important as an effort to mitigate fire and flood disasters on these peatlands. Previous research has been conducted on the dynamics of these parameters in the South Sumatra region for 2019 [16][17]. This research was conducted in the Kalimantan region for three years, 2018, 2019, and 2020.…”
Section: Research Significancementioning
confidence: 99%
“…The data-filtering process using the WK99 method was Furthermore, a verification process was performed using a three-year 3B42 daily precipitation dataset from 1 January 2016 to 31 December 2018. As 3B42-TRMM is a good proxy for real precipitation on the surface, it was therefore employed to evaluate both forecast calculations (Huffman et al, 2006;Irfan et al, 2019). To adjust the initial time of the verification process to the prediction process, a full 2006 through 2015 dataset combined with the 2016 dataset was run to obtain the last day analysis of MJO and CCEW atmospheric data as if it in the real operational mode.…”
Section: Methodsmentioning
confidence: 99%
“…As described above, this study also uses a linear regression method. is a statistical method that functions to help estimate the value of an unknown variable from one or more known variables (Irfan et al, 2020;Yoshihiro, 2020;Irfan et al, 2019).…”
Section: Counting the Number Of Classes (Nc)mentioning
confidence: 99%