Koreksi Bias Statistik Pada Data Prediksi Suhu Permukaan Air Laut Di Wilayah Indian Ocean Dipole Barat Dan Timur
The IOD can be measured using the Dipole Mode Index (DMI) which is calculated based on the sea surface temperature in the Indian Ocean. Therefore, DMI can be predicted using sea surface temperature forecasting data, such as data provided by the European Center for Medium-Range Weather Forecasts (ECM...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Department of Earth Science and Technology, Universitas Negeri Gorontalo
2021-01-01
|
| Series: | Jambura Geoscience Review |
| Subjects: | |
| Online Access: | http://ejurnal.ung.ac.id/index.php/jgeosrev/article/view/8259 |
| _version_ | 1818644224864681984 |
|---|---|
| author | Mohamad Khoirun Najib Sri Nurdiati |
| author_facet | Mohamad Khoirun Najib Sri Nurdiati |
| author_sort | Mohamad Khoirun Najib |
| collection | DOAJ |
| description | The IOD can be measured using the Dipole Mode Index (DMI) which is calculated based on the sea surface temperature in the Indian Ocean. Therefore, DMI can be predicted using sea surface temperature forecasting data, such as data provided by the European Center for Medium-Range Weather Forecasts (ECMWF). However, the data still has a bias as compared to the actual data, so to get a more accurate prediction, corrected data is needed. Therefore, the aim of this study is to predict DMI based on sea surface temperature forecasting data that has been corrected for bias using the quantile mapping method, a method that connects the distribution of forecasting and actual data. The results showed that the DMI prediction using corrected data was more accurate than the DMI prediction using ECMWF data. DMI predictions using corrected data have high accuracy to predict IOD events in October-April. |
| first_indexed | 2024-12-17T00:11:27Z |
| format | Article |
| id | doaj.art-6d448f6c492e47148d21a09d72b97811 |
| institution | Directory Open Access Journal |
| issn | 2623-0682 2656-0380 |
| language | English |
| last_indexed | 2024-12-17T00:11:27Z |
| publishDate | 2021-01-01 |
| publisher | Department of Earth Science and Technology, Universitas Negeri Gorontalo |
| record_format | Article |
| series | Jambura Geoscience Review |
| spelling | doaj.art-6d448f6c492e47148d21a09d72b978112022-12-21T22:10:49ZengDepartment of Earth Science and Technology, Universitas Negeri GorontaloJambura Geoscience Review2623-06822656-03802021-01-013191710.34312/jgeosrev.v3i1.82592588Koreksi Bias Statistik Pada Data Prediksi Suhu Permukaan Air Laut Di Wilayah Indian Ocean Dipole Barat Dan TimurMohamad Khoirun Najib0Sri Nurdiati1Departemen Matematika, IPB University, Jl. Meranti, Bogor 16680Departemen Matematika, IPB University, Jl. Meranti, Bogor 16680, IndonesiaThe IOD can be measured using the Dipole Mode Index (DMI) which is calculated based on the sea surface temperature in the Indian Ocean. Therefore, DMI can be predicted using sea surface temperature forecasting data, such as data provided by the European Center for Medium-Range Weather Forecasts (ECMWF). However, the data still has a bias as compared to the actual data, so to get a more accurate prediction, corrected data is needed. Therefore, the aim of this study is to predict DMI based on sea surface temperature forecasting data that has been corrected for bias using the quantile mapping method, a method that connects the distribution of forecasting and actual data. The results showed that the DMI prediction using corrected data was more accurate than the DMI prediction using ECMWF data. DMI predictions using corrected data have high accuracy to predict IOD events in October-April.http://ejurnal.ung.ac.id/index.php/jgeosrev/article/view/8259bias correctionecmwfindian ocean dipolequantile mapping |
| spellingShingle | Mohamad Khoirun Najib Sri Nurdiati Koreksi Bias Statistik Pada Data Prediksi Suhu Permukaan Air Laut Di Wilayah Indian Ocean Dipole Barat Dan Timur Jambura Geoscience Review bias correction ecmwf indian ocean dipole quantile mapping |
| title | Koreksi Bias Statistik Pada Data Prediksi Suhu Permukaan Air Laut Di Wilayah Indian Ocean Dipole Barat Dan Timur |
| title_full | Koreksi Bias Statistik Pada Data Prediksi Suhu Permukaan Air Laut Di Wilayah Indian Ocean Dipole Barat Dan Timur |
| title_fullStr | Koreksi Bias Statistik Pada Data Prediksi Suhu Permukaan Air Laut Di Wilayah Indian Ocean Dipole Barat Dan Timur |
| title_full_unstemmed | Koreksi Bias Statistik Pada Data Prediksi Suhu Permukaan Air Laut Di Wilayah Indian Ocean Dipole Barat Dan Timur |
| title_short | Koreksi Bias Statistik Pada Data Prediksi Suhu Permukaan Air Laut Di Wilayah Indian Ocean Dipole Barat Dan Timur |
| title_sort | koreksi bias statistik pada data prediksi suhu permukaan air laut di wilayah indian ocean dipole barat dan timur |
| topic | bias correction ecmwf indian ocean dipole quantile mapping |
| url | http://ejurnal.ung.ac.id/index.php/jgeosrev/article/view/8259 |
| work_keys_str_mv | AT mohamadkhoirunnajib koreksibiasstatistikpadadataprediksisuhupermukaanairlautdiwilayahindianoceandipolebaratdantimur AT srinurdiati koreksibiasstatistikpadadataprediksisuhupermukaanairlautdiwilayahindianoceandipolebaratdantimur |