Impact of deep learning-driven precipitation corrected data using near real-time satellite-based observations and model forecast in an integrated hydrological model

Integrated hydrological model (IHM) forecasts provide critical insights into hydrological system states, fluxes, and its evolution of water resources and associated risks, essential for many sectors and stakeholders in agriculture, urban planning, forestry, or ecosystem management. However, the accu...

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Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	Kaveh Patakchi Yousefi, Alexandre Belleflamme, Klaus Goergen, Stefan Kollet
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	Frontiers Media S.A. 2024-10-01
Цуврал:	Frontiers in Water
Нөхцлүүд:	integrated hydrological model convolutional neural network soil moisture simulation precipitation correction bias correction water resources forecasting
Онлайн хандалт:	https://www.frontiersin.org/articles/10.3389/frwa.2024.1439906/full
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!