日本地球惑星科学連合2025年大会

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[E] ポスター発表

セッション記号 A (大気水圏科学) » A-CG 大気海洋・環境科学複合領域・一般

[A-CG37] Water and Sediment Dynamics from Land to Oceans [En]

2025年5月27日(火) 17:15 〜 19:15 ポスター会場 (幕張メッセ国際展示場 7・8ホール)

コンビーナ:Sehgal Dhruv (Project Researcher, University of Tokyo)、山崎 大(東京大学生産技術研究所)、バムナワラ ジャナカ(Tohoku University)、Farahnak Moein(Ecohydrology Research Institute of University of Tokyo)

17:15 〜 19:15

[ACG37-P02] Resolving Hillslope Land Cover Heterogeneity Improves Simulation of Terrestrial Energy and Water Budgets

*Shuping Li1Dai Yamazaki1Tomoko Nitta1Kei Yoshimura1 (1.Institute of Industrial Science, The University of Tokyo)

キーワード:Hillslope hydrology, Land cover heterogeneity, Land surface model

Horizontal water transportation from hills to valleys widely dictates vegetation growth and modulates terrestrial water and energy budget. However, the complex land cover heterogeneity on hillslope was yet unprioritized and oversimplified in many land surface models (LSMs), despite its critical role in controlling terrestrial water and energy fluxes. Therefore, this study targets Africa and investigates the impact of explicitly representing hillslope water dynamics and land cover conditions in LSM on terrestrial water and energy budgets. To this end, a sub-grid approach named catchment-based strategy is implemented into LSM, where hillslope water dynamics and land cover heterogeneity are represented on discretized height bands of the representative hillslope. Through an array of experiments with different degree of complexity in representing water and vegetation heterogeneity along hillslope, the impact of representing them in LSM is evaluated and validated. Results show that representation of increasing heterogeneities amplifies the variability in simulated water and energy budgets, particularly in equatorial Africa. In addition to hill-to-valley water dynamics, representing vegetation distribution more realistically on hillslope to align with the differentiated soil water content (e.g., denser vegetation along riverside in arid region) significantly alters soil water content, runoff and evapotranspiration in near 5%, 7% and 18% of the African area, respectively. The new model better captured the hillslope-scale transpiration, with results more consistent with the observed discharge and leaf area index. Overall, LSM considering water dynamics and land cover heterogeneity along hillslope is proved to substantially modulate and better capture the terrestrial water and energy budgets.