Hermawati, Meidiana (2019) Analisis Perbandingan Estimasi Kandungan Uap Air Menggunakan Data Meteorologi, Data ERA-Interim, dan Global Positioning System (Studi Kasus: Kota Surabaya). Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Dalam mempelajari fenomena iklim dan cuaca, distribusi uap air berkaitan erat dengan fenomena meteorologi seperti distribusi awan dan cuaca. Selain dengan menghitung penundaan perambatan sinyal GPS akibat uap air (Zenith Wet Delay/ZWD), informasi kandungan uap air dapat diestimasi dari pengamatan meteorologi (temperatur, tekanan, dan kelembaban) di permukaan Bumi. Selain pengamatan langsung di permukaan Bumi, saat ini berbagai data temperatur, tekanan, kelembaban, dan Total Column Water Vapour global telah tersedia, seperti Data ERA-Interim, model yang disediakan oleh ECMWF (European Center for Medium-Range Weather Forecasts). Oleh karena adanya ketiga sumber data untuk menentukan jumlah uap air di udara, penelitian ini bertujuan untuk menganalisis perbandingan estimasi total kandungan uap air (Precipitable Water Vapor) dari data meteorologi permukaan, data ERA-Interim, dan GPS dengan studi kasus di Kota Surabaya untuk mengetahui data terbaik untuk mendapatkan estimasi Precipitable Water Vapor di Kota Surabaya. Titik GPS yang digunakan adalah Stasiun CORS CSBY, sedangkan data meteorologi didapat dari stasiun meteorologi Perak Surabaya dan era-interim dari ECMWF pada koordinat 7°15’ LS dan 112°45’ BT. Dari hasil penelitian didapatkan perhitungan estimasi Precipitable Water Vapor menggunakan GPS menghasilkan estimasi PWV CSBY minimum 0,228 mm; maksimum 0,732 mm; rata-rata 0,556 mm; standar deviasi 0,083 mm. PWV Perak menghasilkan minimum 0,395 mm; maksimum 0,864 mm; rata-rata 0,595 mm; standar deviasi 0,037 mm. Sedangkan ERA Interim minimum 0,462 mm; maksimum 0,759 mm; rata-rata 0,643 mm; standar deviasi 0,043 mm. Setelah dilakukan interpolasi IDW pada hasil Perak dan ERA-Interim ke CSBY memberikan pola yang bagus dan cenderung sama, kekuatan hubungannya sedang dengan koefisien korelasi 0,567 dan RMSE 0,156. Sedangkan setelah dilakukan interpolasi Natural Neighbor dari ketiga titik ke titik Surabaya didapatkan hubungan CSBY dan Perak memiliki kekuatan hubungan yang rendah dengan koefisien korelasi 0,419 dan RMSE 0,063. Serta, CSBY dan ERA-Interim memiliki kekuatan hubungan sedang dengan koefisien korelasi 0,546 dengan RMSE 0,148.
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In studying climate and weather phenomena, the distribution of water vapor is closely related to meteorological phenomena such as cloud distribution and weather. In addition to calculating the delay in propagation of GPS signals due to water vapour (Zenith Wet Delay / ZWD), information on the content of moisture can be estimated from meteorological observations (temperature, pressure, and humidity) on the surface of the Earth. Besides, data from direct observations on the surface of the Earth, various global data on temperature, pressure, humidity, and Total Column Water are now available, such as ERA-Interim Data, models provided by ECMWF (European Center for Medium-Range Weather Forecasts). Because of the three data sources to determine the amount of water vapor in the air, this study aims to analyze the comparison of estimated total water vapor content (Precipitable Water Vapor) from surface meteorological data, ERA-Interim data, and GPS with case studies in Surabaya to find out the data best to get Precipitable Water Vapor estimates in Surabaya City. The GPS point used is the CORS CSBY Station, while the meteorological data is obtained from the Perak Surabaya meteorological station and the interim era from ECMWf at coordinates 7 ° 15 'S and 112 ° 45' E. From the results of the study, the calculation of estimated Precipitable Water Vapor using GPS yields a minimum CSBY PWV estimate of 0.228 mm; maximum of 0.732 mm; an average of 0.556 mm; standard deviation of 0.083 mm. Perak PWV produces a minimum of 0.395 mm; maximum 0.864 mm; an average of 0.595 mm; standard deviation of 0.037 mm. Whereas the ERA-Interim PWV is a minimum of 0.462 mm; maximum of 0.759 mm; an average of 0.643 mm; standard deviation of 0.043 mm. After IDW interpolation on Perak results and ERA-Interim results to CSBY gives a good pattern and tends to be the same, the strength of the relationship is medium with a correlation coefficient of 0.567 and RMSE of 0.156. Whereas after the Natural Neighbor interpolation from the three points to the Surabaya point, the relationship between CSBY and Perak has a low relationship strength with a correlation coefficient of 0.419 and RMSE 0.063. As well, CSBY and ERA-Interim have the strength of a moderate relationship with a correlation coefficient of 0.546 with RMSE of 0.148.
| Item Type: | Thesis (Other) |
|---|---|
| Additional Information: | RSG 526.6 Her a-1 2019 |
| Uncontrolled Keywords: | Precipitable Water Vapor, GPS, Data Meteorologi, ERA-Interim, Korelasi |
| Subjects: | G Geography. Anthropology. Recreation > G Geography (General) > G109.5 Global Positioning System G Geography. Anthropology. Recreation > GE Environmental Sciences |
| Divisions: | Faculty of Civil Engineering and Planning > Geomatics Engineering > 29202-(S1) Undergraduate Thesis |
| Depositing User: | Meidiana Hermawati |
| Date Deposited: | 13 Mar 2024 07:15 |
| Last Modified: | 13 Mar 2024 07:15 |
| URI: | http://repository.its.ac.id/id/eprint/65312 |
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