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インドネシアの西ジャワの空間的に分布した降雨データセット

Dwi Yoga Primartono1,2, Rahmat Hidayat1, Supari3

  • 1Department of Geophysics and Meteorology, Kampus IPB Darmaga, IPB University, Bogor, 16680, Indonesia.

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まとめ
この要約は機械生成です。

西ジャワ州 (1991-2020年) の新しい毎日の降雨格子データセットは,162の雨量計を使用して作成されました. この高解像度の空間的な降雨データは,気候分析と水資源管理に役立ちます.

キーワード:
気候学インターポレーション逆距離加重レインゲージトポグラフィ

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科学分野:

  • 気候学
  • 水学
  • 地理空間分析

背景:

  • 気候分析と水資源管理には 雨量の正確なデータが不可欠です
  • 地域規模の降雨データの空間的分布は大きな研究課題です.
  • 気候変化への適応と水資源計画には 微細な解像度の降雨データが不可欠です

研究 の 目的:

  • インドネシアの西ジャワで観測された降雨量の高解像度グリッドデータセットを毎日作成する.
  • 地域の気候分析と水資源管理の改善のための基盤を提供すること.
  • 水気天候の危険に対する適応戦略を支援する.

主な方法:

  • インドネシア気象庁 (BMKG) が1991年から2020年にかけて監視した162の雨量測定器から得られた毎日の雨量データを利用した.
  • 空間インターポレーションの逆距離加重法 (IDW) を採用した.
  • 0.05°のグリッド解像度で生成された毎日の,毎月の,および年間降雨のタイムシリーズ.

主要な成果:

  • 西ジャワの包括的な毎日の格子化された降雨データセットが確立されました.
  • このデータセットは30年 (1991-2020年) の期間をカバーし,毎日の,毎月の,および年次の解像度を示しています.
  • 多様な地形や気候圏にわたる 降雨量の変動を 空間的なインターポレーションで 効果的に捉えました

結論:

  • 開発された格子型の降雨データセットは,西ジャワの地元の気候研究に貴重なリソースを提供します.
  • このデータは水資源の効果的な計画と管理に役立ちます.
  • 水気気象リスクに対する適応戦略を策定するための重要なツールとして機能します.