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Interaksi Antara Atmosfer dan Laut Pemicu Cuaca Ekstrem untuk Meningkatkan Akurasi Prediksi Onset Hujan di Pesisir
Keywords:
Interaksi Atmosfer dan Laut, Cuaca Ekstrem, Benua Maritim Indonesia, Akurasi Prediksi HujanSynopsis
Atmosfer di Benua Maritim Indonesia (BMI) memegang peranan utama bagi dinamika cuaca dan iklim global. Komposisi darat-laut dan topografi di BMI yang kompleks menjadikan cuaca dan iklim di wilayah ini paling sulit diprediksi. Padahal, perbaikan akurasi prediksi cuaca dan iklim di BMI menjadi kunci untuk meningkatkan kinerja model global dalam memprediksi hujan dan kebutuhan mendasar sekaligus aplikatif di tengah krisis iklim global yang semakin memburuk. Buku ilmiah berjudul Interaksi Antara Atmosfer Dan Laut Pemicu Cuaca Ekstrem untuk Meningkatkan Akurasi Prediksi Onset Hujan di Pesisir memaparkan penemuan mendasar mengenai mekanisme cuaca ekstrem dan lokasi-lokasi kunci di perairan sekitar Indonesia yang dapat memicu cuaca ekstrem pada skala lokal-meso-global yang berdampak meluas bahkan katastropik, serta menawarkan solusi strategis bagi perbaikan akurasi prediksi hujan di BMI.
Buku ini diharapkan memberikan kebaruan bagi pembaca tentang prediksi onset hujan ekstrem di wilayah BMI dengan melakukan instalasi model Weather Research and Forecasting (WRF) dan Regional Ocean Modeling System (ROMS) di Laboratorium High Performance Computing (HPC) BRIN. Pengembangan metode tersebut didasarkan pada riset-riset cuaca ekstrem yang dipicu oleh interaksi atmosfer-laut dan menjadi landasan untuk mengembangkan produk inovasi DSS NAKULA yang saat ini dalam tahap uji implementasi untuk wilayah BMI. Pengembangan DSS NAKULA merupakan salah satu solusi kemandirian nasional dalam penguasaan teknologi prediksi cuaca, termasuk untuk meningkatkan kemampuan dalam memproduksi data-data prediksi cuaca skala regional wilayah Indonesia melalui metode downscaling model prediksi cuaca resolusi tinggi secara spasial dan temporal. Kemandirian nasional terhadap data-data prediksi cuaca menjadi permasalahan utama ketergantungan Indonesia terhadap produk prediksi cuaca dari negara-negara maju selama ini.
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