Evaluation of Hydrologic Modelling Using Satellite Product, and MMR Rainfall in East Java, Indonesia

Hidayah, Entin; Widiarti, Wiwik Yunarni; Putra, Paksitya Purnama; Dewantie, Anggraeni Ayu; Alhamda, Muhammad Zulvi; Prastika, Hanna

doi:10.12911/22998993/142843

Cited by 5 publications

(3 citation statements)

References 33 publications

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“…This region encompasses five sub-districts: Pauh, Kuranji, Padang Utara, Nanggalo, and Koto Tangah Subdistricts. It covers an elevation ranging up to 1858 meters above sea level and encompasses an area of approximately 215.615 km 2 [49]. The Kuranji watershed map is displayed in Figure 1.…”

Section: A Study Areamentioning

confidence: 99%

Validation of TRMM and GPM Satellite Data Using Daily Precipitation Observations

Andari,

Nurhamidah,

Daoed

et al. 2024

Int. J. Adv. Sci. Eng. Inf. Technol.

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Accurate precipitation data holds immense significance in hydrological analysis. A common challenge in this field often stems from the lack of comprehensive data availability. High-resolution satellite-based precipitation measurements covering large areas offer a potential solution. However, disparities in the resolution of observed rainfall data can impact data accuracy. The main goal of this study is to evaluate the accuracy of rainfall data obtained from the TRMM and GPM satellites in the Kuranji watershed. The evaluation was conducted on the performance of the GPM IMERG-F from the Integrated Multi-satellite Retrievals for the GPM mission and the TRMM 3B42RT on a daily scale spanning from 2015 to 2019 over the Kuranji watershed. The daily precipitation measurements were validated using three widely used statistical metrics (R, RMSE, and RB). The precipitation detection capability (POD, FAR, and CSI) was also considered in this assessment. The findings demonstrate that both satellite estimations exhibit a substantial correlation coefficient (0.68 for GPM, 0.62 for TRMM) with the measurements obtained from gauges, along with an inclination to overestimate precipitation. GPM IMERG-F and TRMM 3B42RT manifest a consistent spatial pattern in daily precipitation distribution, effectively representing the observed precipitation distribution. The greater probability of detection (POD), critical success index (CSI), and lower false alarm ratio (FAR) exhibited by GPM IMERG-F at varying rainfall intensities suggests its superior performance in accurately identifying observed precipitations. This finding supports the preference for GPM IMERG-F data over TRMM 3B42RT data across various applications, hydrology, and related disciplines in the future.

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Section: A Study Areamentioning

confidence: 99%

Validation of TRMM and GPM Satellite Data Using Daily Precipitation Observations

Andari,

Nurhamidah,

Daoed

et al. 2024

Int. J. Adv. Sci. Eng. Inf. Technol.

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“…Di Indonesia, pengukuran curah hujan tidak merata dan terkadang kurang kontinuitasnya terutama di daerah aliran sungai (DAS) kecil, yang membuat pemodelan hidrologi menjadi sulit (Hidayah et al 2021). Selain itu penurunan kualitas data hujan permukaan juga disebabkan oleh penurunan kinerja penakar hujan yang disebabkan oleh berbagai faktor, misalnya usia pemakaian, gangguan serangga, kerusakan perangkat keras maupun perangkat lunak (Hambali et al 2019).…”

Section: Pendahuluanunclassified

Perbandingan Pola Distribusi Hujan Terukur dan Hujan Satelit PERSIANN di DAS Progo

Gustoro,

Sujono,

Karlina

2022

pengairan

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Pola distribusi hujan sangat diperlukan dalam analisis transformasi hujan aliran khususnya untuk penentuan hidrograf banjir rancangan bangunan hidrolik. Distribusi hujan ini sangat tergantung dengan data hujan durasi pendek yang umumnya sangat terbatas, sehingga sebagai solusi dapat digunakan data hujan berbasis satelit. Distribusi hujan satelit dapat digunakan apabila distribusi yang dihasilkan memiliki pola distribusi yang mendekati hujan terukur. Dalam analisis ini data hujan yang digunakan adalah data hujan jam–jaman dari beberapa stasiun hujan yang terletak di DAS Progo dan data hujan satelit PERSIANN yang lokasinya disesuaikan dengan koordinat stasiun hujan DAS Progo. Data hujan yang dianalisis merupakan kejadian hujan berurutan yang memiliki kedalaman ≥ 50 mm untuk data tahun 2013 – 2015. Hasil penelitian menunjukkan bahwa distribusi hujan satelit PERSIANN memiliki pola yang mendekati pola hujan terukur dengan nilai koefisien r rerata sebesar 0,98. Hasil tersebut menunjukkan bahwa hujan berbasis satelit dapat digunakan sebagai alternatif penentuan pola distribusi hujan apabila data hujan terukur tidak tersedia. Namun demikian, analisis serupa perlu dilakukan untuk karakteristik hujan di DAS yang berbeda.

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“…Nevertheless, the three elements are not seen as deposits because the deposits are rain, snow, and hail. Instead, rain is categorized as sediment because, in Indonesia, the rain view refers to rainfall [5]. A case study in the east of the Helan mountains, Ningxia, shows that Severe frosts have been common in the last two decades, causing many grapes to be damaged.…”

Section: Introductionmentioning

confidence: 99%

Identification of temperature change related to frost phenomenon over Jayapura, Indonesia

Izza,

Astuty,

Ramadhan

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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The frost phenomenon that occurred over Jayapura, Indonesia, in July 2022 was the worst frost in the last two decades (1998 – 2022). The frost impact destroyed agricultural fields, crippling most of the crops, and caused famishing to hundreds of people. Because Jayapura has the largest agriculture field in Papua, an assessment of possible mechanisms that caused this extreme event is needed for disaster mitigation. On the other hand, numerous previous studies investigated the relationship between frost and climate change. However, it is still poorly understood, particularly in the Papua study case. This study explores the linkage between the frost phenomenon and climate change in Jayapura, Papua. Hence, we conducted an analysis using station observation and reanalysis datasets. In addition, we also assess spatial analysis to determine the distribution of weather pattern anomalies derived from The European Center for Medium-Range Weather Forecast (ECMWF) – ERA5 datasets during extreme episodes. We found that maximum and average temperatures have increased, while the minimum temperature has decreased over the last decade (2002-2022). It is also noted that the frost event may be related to temperature change in Jayapura, Papua.

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Evaluation of Hydrologic Modelling Using Satellite Product, and MMR Rainfall in East Java, Indonesia

Cited by 5 publications

References 33 publications

Validation of TRMM and GPM Satellite Data Using Daily Precipitation Observations

Validation of TRMM and GPM Satellite Data Using Daily Precipitation Observations

Perbandingan Pola Distribusi Hujan Terukur dan Hujan Satelit PERSIANN di DAS Progo

Identification of temperature change related to frost phenomenon over Jayapura, Indonesia

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