Learning Regionalization Using Accurate Spatial Cost Gradients Within a Differentiable High‐Resolution Hydrological Model: Application to the French Mediterranean Region

Abstract Estimating spatially distributed hydrological parameters in ungauged catchments poses a challenging regionalization problem and requires imposing spatial constraints given the sparsity of discharge data. A possible approach is to search for a transfer function that quantitatively relates ph...

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Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	Ngo Nghi Truyen Huynh, Pierre‐André Garambois, François Colleoni, Benjamin Renard, Hélène Roux, Julie Demargne, Maxime Jay‐Allemand, Pierre Javelle
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	Wiley 2024-11-01
Цуврал:	Water Resources Research
Нөхцлүүд:	parameter regionalization hybrid AI distributed hydrological modeling flood forecasting differentiable models variational data assimilation
Онлайн хандалт:	https://doi.org/10.1029/2024WR037544
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!