2,297 research outputs found

    ANALISIS PENGARUH MADDEN JULIAN OSCILLATION (MJO) TERHADAP CURAH HUJAN DI KOTA MAKASSAR

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    The Study with the analysis of Madden Julian Oscillation (MJO) effect to rainfall in Makassar had been done. This study was to determine how the relation between Madden Julian Oscillation (MJO) and intensity of rainfall in city of Makassar. This study using daily rainfall years 1990-2015 data were obtained from Pengelolaan Sumber Daya Air (PSDA) of Makassar and RMM index (real-time multivariate MJO) daily in 1990-2015 from BMRC (Bureau of Meteorology Research Centre). Based on the analysis using FFT method can be seen the power of the period MJO phenomenon is worth weak meaning MJO not weak affect rainfall in Makassar. So that Madden Julian Oscillation (MJO) less influence to word increasing and decreasing of rainfall in Makassar.Keywords: Madden Julian Oscillation (MJO), RMM-index, FFTTelah dilakukan penelitian tentang Analisis Pengaruh Madden Julian Oscillation (MJO) Terhadap Curah Hujan di Kota Makassar. Adapun tujuan dari penelitian ini yaitu untuk mengetahui hubungan Madden Julian Oscillation (MJO) dan intensitas curah hujan di Kota Makassar. Penelitian ini menggunakan data curah hujan harian tahun 1990-2015 yang diperoleh dari Kantor PU (Pekerja Umum) Sumber Daya Air Provinsi Sulawesi Selatan dan Indeks RMM (Real-time Multivariate MJO) harian tahun 1990-2015 dari BMRC (Bureau of Meteorologi Research Centre). Berdasarkan hasil analisis data dengan mengunakan metode Fast Fourier Transform (FFT) curah hujan, analisis fase MJO terhadap anomali curah hujan, dan analisis korelasi pearson anomali curah hujan dan amplitudo indeks RMM maka dapat diketahui bahwa hubungan Madden Julian Oscillation (MJO) dan curah hujan di Kota Makassar berada pada tingkatan yang lemah. Atau dengan kata lain Madden Julian Oscillation (MJO) berpengaruh kecil terhadap peningkatan dan penurunan curah hujan di Kota Makassar.Kata Kunci:  Madden Julian Oscillation (MJO), indeks RMM, FF

    Investigations of Possible Low-Level Temperature and Moisture Anomalies During the AMIE Field Campaign on Manus Island

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    This document discusses results stemming from the investigation of near-surface temperature and moisture “oddities” that were brought to light as part of the Atmospheric Radiation Measurement (ARM) Madden-Julian Oscillation (MJO) Investigation Experiment (AMIE), Dynamics of the Madden-Julian Oscillation (DYNAMO), and Cooperative Indian Ocean experiment on intraseasonal variability in the Year 2011 (CINDY2011) campaigns

    Modulation of station rainfall over the western Pacific by the Madden-Julian oscillation

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    Rainfall data from 140 stations in the PACRAIN network in the tropical western Pacific are analysed to assess the signal due to the Madden-Julian Oscillation (MJO). During northern winter, the station rainfall difference between the wet and dry phases of the MJO is up to 6 mm day-1, compared to the climatological mean value of 12 mm day-1. The anomalies have a strong spatial coherence, with over 80% of the individual point station anomalies having the same sign as the large-scale rainfall anomaly, as determined by the mainly satellite-derived CMAP rainfall product

    Atmospheric response to observed intraseasonal tropical sea surface temperature anomalies

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    The major tropical convective and circulation features of the intraseasonal or Madden-Julian Oscillation (MJO) are simulated as a passive response to observed MJO sea surface temperature (SST) anomalies in an atmospheric general circulation model (AGCM), strengthening the case for ocean-atmosphere interactions being central to MJO dynamics. However, the magnitude of the surface fluxes diagnosed from the MJO cycle in the AGCM, that would feed back onto the ocean in a coupled system, are much weaker than in observations. The phasing of the convective-dynamical model response to the MJO SST anomalies and the associated surface flux anomalies is too fast compared to observations of the (potentially) coupled system, and would act to damp the SST anomalies

    The Seasonality of Madden-Julian Oscillation (MJO) Teleconnections

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    The Madden Julian Oscillation (MJO) is a tropical intraseasonal phenomenon that is known to generate teleconnections like the Pacific North American and the North Atlantic Oscillation patterns in boreal winter, but knowledge about MJO teleconnections is limited during other seasons. Therefore, to advance the prediction skill of the extratropics on the subseasonal-to-seasonal (S2S) using the MJO as a predictor, it is important to better understand the seasonal relationship between the MJO and its teleconnections. To improve the S2S predictions during all seasons, this research demonstrates the strong seasonal variability of MJO teleconnections and investigates the causes of this seasonality using reanalysis and satellite data. We find that the MJO is tied to different leading modes of extratropical circulation that vary seasonally. While the MJO is strongly tied to some leading modes of the extratropics in winter, the MJO has weak relationships to the extratropical leading modes in other seasons, limiting the usability of the MJO as an S2S prediction tool. This seasonal variability in the strength and location of MJO teleconnection was found to be strongly related to the Rossby Wave Source (RWS) generated by the MJO. The generation of the RWS is determined by the seasonal location of the subtropical jet along with the strength and phase of the MJO. While the seasonal background state is often thought to play an important role, this work finds that the seasonal state of the MJO has a greater impact on determining the observed seasonal RWS patterns. This study offers an understanding that our current knowledge of MJO teleconnections during boreal winter would have limitations if applied to the other seasons and should be modified. Our current research indicates that the usability of the MJO as an S2S prediction tool in other seasons may depend on finding "windows of opportunities" that strengthen the ability of the MJO to form teleconnection patterns, such as other sources of interannual variability

    Pengaruh Madden Julian Oscillation (MJO) Terhadap Kemunculan Mesoscale Convective Complex (MCC) di Wilayah Maluku

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    Awan Konvektif berupa tutupan awan yang cukup besar dan memenuhi karakteristik Mesoscale Convective Complex (MCC) yang terjadi selama tahun 2017 hingga 2021 pada wilayah Maluku. . Tutupan awan konvektif skala meso ini memiliki ciri durasi yang cukup panjang, bentuk semi melingkar dan memiliki pola tutupan awan yang besar. Penulisan ini bertujuan untuk menganalisis kemunculan kluster awan Mesoscale Convective Complex (MCC) serta pengaruh Madden Julian Oscillation (MJO) terhadap jumlah kemunculan MCC. Pengolahan MCC ini menggunakan data citra satelit Himawari-8 kanal inframerah dengan algoritma yang telah dibangun dan berdasarkan karakteristik MCC yang ada di Indonesia. Data yang juga digunakan yaitu data sekunder tahun 2017-2021 yang terdiri dari data harian MJO diperoleh dari website BMRC (Bureau of Meteorologi Research Centre). Teknik analisis data yaitu dengan persamaan regresi linier sederhana menggunakan Software SPSS Statistict 25. Hasil analisis menunjukan jumlah kejadian MCC terbanyak terjadi pada bulan Maret, Mei, dan Desember. Jumlah kejadian MCC sedikit terjadi pada bulan Agustus dan Oktober. Besar pengaruh MJO terhadap kemunculan MCC tertinggi terjadi pada bulan Maret (56,7%) dan April (55,1%), sedangkan terendah terjadi pada September (0%) dan Juni (1,3%

    Simplified metrics for the identification of the Madden–Julian oscillation in models

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    We propose simplified metrics to evaluate the fidelity with which the Madden–Julian oscillation (MJO) is simulated in climate models. These metrics are based on lag correlation analysis of principal component time series (PCs). The PCs are obtained by projecting simulated 20–100 day bandpass filtered daily outgoing longwave radiation onto the two leading empirical orthogonal functions of observed MJO variability. The simplified MJO metrics, the maximum positive correlation and time lag at which it occurs, provide consistent information relative to more complex diagnostics developed by the Madden–Julian Oscillation Working Group (CLIVAR MJOWG) and by Kim et al

    Pengaruh Fenomen Global Pacific Decadal Oscillation Dengan Madden-Julian Oscillation Di Provinsi Papua

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    Tropical areas such as Indonesia are ocean areas that show convective activity responses that affect the global climate balance in space and time. The equatorial region, especially Indonesia, is subject to very complex ocean-atmospheric phenomena which are influenced by many factors and phenomena such as the Monsoon/Tropical Convergence Zone (ITCZ), El Niño Southern Oscillation (ENSO), Madden-Julian Oscillation (MJO), Tropical Cyclone. /Temperate Forcing, Indian Ocean Dipole Mode (IODM), and Pacific Decadal Oscillation (PDO). This journal focuses on discussing two phenomena, namely the Madden-Julian Oscillation (MJO) and the Pacific Decagonal Oscillation (PDO) in Papua (East Indonesia). This study uses an empirical approach with statistical calculations based on the PDO variable in the form of the PDO index, the amplitude variable which represents the MJO data and the rainfall for the province of Papua. Data for these two variables were obtained from NOAA and BoM, as well as rainfall data obtained from NASA. The data period analyzed was 40 years from 1981 to 2020. Two dates were filtered and correlations were analyzed using a simple linear regression method. The results of this research show that PDO is associated with MJO in Papua. This is clearly seen from the results of the correlation of the two phenomena. In addition, these two phenomena also affect the increase or decrease in rainfall in Papua. The second impact of this phenomenon on Papua (eastern part of the archipelago) is caused by the circulation of sea water from the Pacific Ocean through the Indonesian Toughflow.Kawasan tropis seperti Indonesia merupakan kawasan lautan yang menunjukkan respon aktivitas konvektif yang mempengaruhi keseimbangan iklim global dalam ruang dan waktu. Wilayah khatulistiwa, khususnya Indonesia, tunduk pada fenomena atmosfer-laut yang sangat kompleks yang dipengaruhi oleh banyak faktor dan fenomena  seperti Monsoon/Tropical Convergence Zone (ITCZ), El Niño Southern Oscillation (ENSO), Madden-Julian Oscillation (MJO), Tropical Cyclone/Temperate Forcing, Indian Ocean Dipole Mode (IODM), dan Pacific Decadal Oscillation (PDO). Jurnal ini berfokus pada pembahasan dua fenomena global yaitu Madden-Julian Oscillation (MJO) dan Pacific Decagonal Oscillation (PDO) di Papua (Indonesia Timur). Penelitian ini menggunakan pendekatan empiris dengan perhitungan statistik berdasarkan variabel PDO berupa indeks PDO, variabel amplitudo yang mewakili data MJO dan curah hujan provinsi Papua. Data  kedua variabel tersebut diperoleh dari NOAA dan BoM, serta data curah hujan diperoleh dari NASA. Periode data yang dianalisis adalah 40 tahun dari tahun 1981 sampai dengan tahun 2020. Dua tanggal disaring dan korelasi dianalisis menggunakan metode regresi linier sederhana. Hasil penelitian menunjukkan bahwa PDO berasosiasi dengan MJO di Papua. Hal ini terlihat jelas dari hasil korelasi  kedua fenomena tersebut. Selain itu, kedua fenomena tersebut juga mempengaruhi peningkatan atau penurunan curah hujan di  Papua. Dampak kedua dari fenomena ini di Papua (bagian timur nusantara) disebabkan oleh sirkulasi air laut dari Samudra Pasifik melalui aliran Indonesian Toughflow
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