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All Journal Jurnal Ilmu Lingkungan Forum Geografi
Fatkhuroyan Fatkhuroyan, Fatkhuroyan
Badan Meteorologi Klimatologi dan Geofisika
Earth & Planetary Sciences Environmental Science

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Using 3D-Var Data Assimilation for Improving the Accuracy of Initial Condition of Weather Research and Forecasting (WRF) Model in Java Region (Case Study : 23 January 2015) Sagita, Novvria; Hidayati, Rini; Hidayat, Rahmat; Gustari, Indra; Fatkhuroyan, Fatkhuroyan
Forum Geografi Vol 30, No 2 (2016): December 2016
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v30i2.2512

Abstract

Weather Research and Forecasting (WRF) is a numerical weather prediction model developed by various parties due to its open source, but the WRF has the disadvantage of low accuracy in weather prediction. One reason of low accuracy  of model is inaccuracy initial condition model to the actual atmospheric conditions. Techniques to improve the initial condition model is the observation data assimilation. In this study, we used three-dimensional variational (3D-Var) to perform data assimilation of some observation data. Observational data used in data assimilation are observation data from basic stations, non-basic stations, radiosonde data, and The Binary Universal Form for the Representation of meteorological data (BUFR) data from the National Centers for Environmental Prediction (NCEP) , and aggregate observation data from all stations. The aim of this study compares the effect of data assimilation with different data observation on January 23, 2015 at 00.00 UTC for Java island region. The results showed that changes root mean square error (RMSE) of surface temperature from 2° C to 1.7° C - 2.4° C, dew point from 2.1o C to 1.9o  C - 1.4o C, relative humidity from 16.1% to 3.5% - 14.5% after the data assimilation.
Validation of Satellite Daily Rainfall Estimates Over Indonesia Fatkhuroyan, Fatkhuroyan; Wati, Trinah; Sukmana, Alfan; Kurniawan, Roni
Forum Geografi Vol 32, No 2 (2018): December 2018
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v32i2.6288

Abstract

Rainfall is the most important factor in the Earth’s water and energy cycles. The aim of this research is to evaluate the accuracy of Global Satellite Mapping of Rainfall (GSMaP) data by referencing daily rain-gauged rainfall measurements across the Indonesian Maritime Continent. We compare the daily rainfall data from GSMaP Moving Kalman Filter (MVK) to readings from 152 rain-gauge observation stations across Indonesia from March 2014 to December 2017. The results show that the correlation coefficient (CC) provides better validation in the rainy season while root mean square error (RMSE) is more accurate in the dry season. The highest proportion correct (PC) value is obtained for Bali-NTT, while the highest probability of detection (POD) and false alarm ratio (FAR) values are obtained for Kalimantan. GSMaP-MVK data is over-estimated compared to observations in Indonesia, with the mean accuracy for daily rainfall estimation being 85.47% in 2014, 85.74% in 2015, 82.73 in 2016, and 82.59% in 2017.
Analisis Tingkat Kenyamanan Di DKI Jakarta Berdasarkan Indeks THI (Temperature Humidity Index) Wati, Trinah; Fatkhuroyan, Fatkhuroyan
Jurnal Ilmu Lingkungan Vol 15, No 1 (2017): April 2017
Publisher : School of Postgraduate Studies, Diponegoro Univer

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (34.712 KB) | DOI: 10.14710/jil.15.1.57-63

Abstract

ABSTRAKFenomena iklim mempengaruhi kenyamanan fisiologis di daerah pemukiman. Analisa tingkat kenyamanan di DKI Jakarta dilakukan menggunakan THI (Temperature Humidity Index). Berdasarkan data iklim periode 1985 – 2012 stasiun Kemayoran, Tanjung Priok, Halim, Cengkareng dan Pondok Betung, hasil penelitian menunjukkan rata-rata prosentase tingkat kenyamanan harian dengan kategori tidak nyaman sebesar 22,1 % (81 hari per tahun), sebagian nyaman 71 % (259 hari per tahun) dan nyaman 7,1% (26 hari per tahun). Tingkat kenyamanan menunjukkan semakin ke tengah kota semakin besar prosentase tidak nyaman. Selama periode tersebut terjadi kecenderungan peningkatan indeks THI dengan signifikansi > 50% menunjukkan tingkat kenyamanan di DKI Jakarta cenderung semakin tidak nyaman.Kata kunci: tingkat kenyamanan, temperature humidity index, urban heat islandABSTRACTClimate phenomenon affects physiological comfortableness in residential area. Analysis of thermal comfort level in DKI Jakarta were conducted using THI (Temperature Humidity Index).  Based on climate data stations in Kemayoran, Tanjung Priok, Halim, Cengkareng dan Pondok Betung during 1985-2012 showed that the average percentage of daily thermal comfort level with categories uncomfortable were 22,1% (81 days per year), half comfortable 71 % (259 days per year) and comfortable 7,1% (26 days per year). The study showed that the greater percentage uncomfortable level, the closer into the center of the city and during 1985 to 2012 the THI index tend to increasing with significant level more than 50% meant that the thermal comfort level tend to more uncomfortable.Keywords: thermal comfort level, temperature humidity index, urban heat islandCitation: Wati, T dan Fatkhuroyan. (2017). Analisis Tingkat Kenyamanan Di DKI Jakarta Berdasarkan Indeks THI (Temperature Humidity Index). Jurnal Ilmu Lingkungan, 15(1), 57-63, doi:10.14710/jil.15.1.57-63
Co-Authors Gustari, Indra Novvria Sagita Rahmat Hidayat Rini Hidayati Roni Kurniawan Sukmana, Alfan Trinah Wati, Trinah