Pemanfaatan Data Global Precipitation Measurement (GPM) dan Standardized Precipitation Index (SPI) untuk Deteksi Kekeringan Meteorologis di Provinsi Papua Barat

Papua Barat ◽

Kekeringan merupakan salah satu bencana alam di Indonesia. Badan Nasional Penanggulangan Bencana (BNPB) melaporkan bahwa Provinsi Papua Barat memiliki ancaman kekeringan yang sedang hingga tinggi. Penelitian ini bertujuan untuk menganalisis tingkat kekeringan di Provinsi Papua Barat menggunakan data Global Precipitation Measurement (GPM) dan metode Standardized Precipitation Index (SPI). Hasil penelitian menunjukkan bahwa sepanjang tahun 2019 di Papua Barat tidak terjadi kekeringan meteorologis, hanya beberapa wilayah di Kabupaten Kaimana yang agak kering pada SPI bulan Januari – Maret 2019. Secara umum data GPM dan metode SPI memiliki akurasi yang cukup baik dalam menggambarkan tingkat kekeringan meteorologis di Provinsi Papua Barat dibandingkan dengan analisis data hujan dan peta tingkat kekeringan yang dirilis oleh Badan Meteorologi, Klimatologi, dan Geofisika (BMKG), sehingga data GPM dan metode SPI dapat digunakan untuk memantau tingkat kekeringan di Provinsi Papua Barat khususnya pada kawasan pertanian.

IMERG-Based Meteorological Drought Analysis over Italy

Climate ◽

10.3390/cli9040065 ◽

2021 ◽

Vol 9 (4) ◽

pp. 65

Author(s):

Tommaso Caloiero ◽

Giulio Nils Caroletti ◽

Roberto Coscarelli

Keyword(s):

Standardized Precipitation Index ◽

Meteorological Drought ◽

Drought Characteristics ◽

Satellite Retrievals ◽

Grid Points ◽

The Standardized Precipitation Index ◽

Global Precipitation ◽

Italian Territory

The Mediterranean region is an area particularly susceptible to water scarcity and drought. In this work, drought has been analyzed in Italy using multiple timescales of the standardized precipitation index (SPI) evaluated from the Integrated Multi-satellitE Retrievals for Global Precipitation Measurement product from 2000 to 2020. In particular, drought characteristics (severity, duration, and intensity) have been estimated by means of the run theory applied to the SPI values calculated in 3325 grid points falling within the Italian territory. Results clearly indicate that although a high number of drought events has been identified for the short timescale, these events present a lower duration and lesser severity than the long-timescale droughts. The main outcomes of this study, with the indication of the spatial distribution of the drought characteristics in Italy, allow identifying the areas that could also face water stress conditions in the future, thus requiring drought monitoring and adequate adaptation strategies.

PERBANDINGAN SEBARAN CURAH HUJAN HASIL OBSERVASI SATELIT GPM DENGAN MODEL CUACA WRF (Studi Kasus: Siklon Tropis Cempaka Dan Dahlia, 27 Nov – 3 Des 2017)

Seminar Nasional Geomatika ◽

10.24895/sng.2018.3-0.998 ◽

2019 ◽

Vol 3 ◽

pp. 1063

Author(s):

Fatkhuroyan Fatkhuroyan

Keyword(s):

Weather Research And Forecasting ◽

Global Precipitation ◽

Japan Aerospace Exploration Agency ◽

Weather Research

Satelit GPM (Global Precipitation Measurement) merupakan proyek kerjasama antara NASA (National Aeronautics and Space Administration) dan JAXA (Japan Aerospace Exploration Agency) serta lembaga internasional lainnya untuk membuat satelit generasi terbaru dalam rangka pengamatan curah hujan di bumi sejak 2014. Model Cuaca WRF (Weather Research and Forecasting) merupakan model cuaca numerik yang telah dipakai oleh BMKG (Badan Meteorologi Klimatologi dan Geofisika) untuk pelayan prediksi cuaca harian kepada masyarakat. Pada tanggal 27 November – 3 Desember 2017 telah terjadi bencana alam siklon tropis Cempaka dan Dahlia di samudra Hindia sebelah selatan pulau Jawa. Tujuan Penelitian ialah untuk mengetahui sebaran akumulasi curah hujan antara observasi satelit GPM dan model cuaca WRF, serta keakuratan model WRF terhadap observasi satelit GPM saat terjadinya bencana alam tersebut. Metode yang dipakai ialah dengan melakukan analisa meteorologi pertumbuhan terjadinya siklon tropis tersebut hingga terjadinya hujan sangat lebat secara temporal maupun spasial. Dari hasil analisa disimpulkan bahwa satelit GPM memiliki luasan sebaran curah hujan yang lebih kecil daripada sebaran hujan model cuaca WRF pada saat siklon tropis Cempaka dan Dahlia. Bias akumulasi sebaran hujan model cuaca WRF juga cukup bagus terhadap satelit GPM sehingga dapat dilakukan antisipasi dampak hujan lebat yang terjadi.

Validation of the Global Precipitation Measurement Mission Core Observatory Over Great Britain and Ireland

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2018.8518503 ◽

2018 ◽

Author(s):

Daniel Watters ◽

Alessandro Battagli ◽

Kamil Mroz ◽

Frederic Tridon

Keyword(s):

Great Britain ◽

Calibration of the Dual-Frequency Precipitation Radar Onboard the Global Precipitation Measurement Core Observatory

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2020.3039978 ◽

2020 ◽

pp. 1-16

Author(s):

Takeshi Masaki ◽

Toshio Iguchi ◽

Kaya Kanemaru ◽

Kinji Furukawa ◽

Naofumi Yoshida ◽

...

Keyword(s):

Dual Frequency ◽

Precipitation Radar ◽

Validation of Satellite-Based Precipitation Products from TRMM to GPM

Remote Sensing ◽

10.3390/rs13091745 ◽

2021 ◽

Vol 13 (9) ◽

pp. 1745

Author(s):

Jianxin Wang ◽

Walter A. Petersen ◽

David B. Wolff

Keyword(s):

Regional Differences ◽

Tropical Rainfall Measuring Mission ◽

Decomposition Approach ◽

Precipitation Product ◽

Error Decomposition ◽

Improved Accuracy ◽

Global Precipitation ◽

Statistical Metrics

The global precipitation measurement mission (GPM) has been in operation for seven years and continues to provide a vast quantity of global precipitation data at finer temporospatial resolutions with improved accuracy and coverage. GPM’s signature algorithm, the integrated multisatellite retrievals for GPM (IMERG) is a next-generation of precipitation product expected for wide variety of research and operational applications. This study evaluates the latest version (V06B) of IMERG and its predecessor, the tropical rainfall measuring mission (TRMM) multisatellite precipitation (TMPA) 3B42 (V7) using ground-based and gauge-corrected multiradar multisensor system (MRMS) precipitation products over the conterminous United States (CONUS). The spatial distributions of all products are analyzed. The error characteristics are further examined for 3B42 and IMERG in winter and summer by an error decomposition approach, which partitions total bias into hit bias, biases due to missed precipitation and false precipitation. The volumetric and categorical statistical metrics are used to quantitatively evaluate the performance of the two satellite-based products. All products show a similar precipitation climatology with some regional differences. The two satellite-based products perform better in the eastern CONUS than in the mountainous Western CONUS. The evaluation demonstrates the clear improvement in IMERG precipitation product in comparison with its predecessor 3B42, especially in reducing missed precipitation in winter and summer, and hit bias in winter, resulting in better performance in capturing lighter and heavier precipitation.

Morphology of Rain Clusters Influencing Rainfall Intensity over Hainan Island

Remote Sensing ◽

10.3390/rs13152920 ◽

2021 ◽

Vol 13 (15) ◽

pp. 2920

Author(s):

Tingting Huang ◽

Chenghui Ding ◽

Weibiao Li ◽

Yilun Chen

Keyword(s):

Rain Rate ◽

Rainfall Intensity ◽

Hainan Island ◽

Precipitation Characteristics ◽

Northern Side ◽

Connected Area ◽

Positive Correlations ◽

Continuous observations from geostationary satellites can show the morphology of precipitation cloud systems in quasi-real-time, but there are still large deviations in the inversion of precipitation. We used binary-connected area recognition technology to identify meso-β-scale rain clusters over Hainan Island from 1 June 2000 to 31 December 2018, based on Global Precipitation Measurement (GPM) Integrated Multi-satellitE Retrievals for GPM data. We defined and statistically analyzed the parameters of rain clusters to reveal the typical morphological and precipitation characteristics of rain clusters, and to explore the relationship between the parameters and rainfall intensity of rain clusters. We found that the area and long axis of rain clusters over land were larger than those over the ocean, and that continental rain clusters were usually square in shape. Rain clusters with a larger area and longer axis were concentrated on the northern side of the mountains on Hainan Island and the intensity of rain was larger on the northern and eastern sides of the mountains. The variation of continental rain clusters over time was more dramatic than the variation of oceanic clusters. The area and long axis of rain clusters was larger between 14:00 and 21:00 from April to September and the long axis of the oceanic rain clusters increased in winter. There were clear positive correlations between the area, long axis and shape of the rain clusters and the maximum rain rate. The area and long axis of continental rain clusters had a higher correlation with the rain rate than those of oceanic clusters. The establishment of a relationship between the morphology of rain clusters and precipitation helps us to understand the laws of precipitation and improve the prediction of precipitation in this region.