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Akademický článek

A signal-processing-based interpretation of the Nash–Sutcliffe efficiency

Autor: L. Duc, Y. Sawada

Publikováno v: Hydrology and Earth System Sciences, Vol 27, Pp 1827-1839 (2023)

The Nash–Sutcliffe efficiency (NSE) is a widely used score in hydrology, but it is not common in the other environmental sciences. One of the reasons for its unpopularity is that its scientific meaning is somehow unclear in the literature. This stu

Externí odkaz: https://doaj.org/article/59c676b531684520a02b478969f37660

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Akademický článek

Global assessment of subnational drought impact based on the Geocoded Disasters dataset and land reanalysis

Autor: Y. Kageyama, Y. Sawada

Publikováno v: Hydrology and Earth System Sciences, Vol 26, Pp 4707-4720 (2022)

Despite the importance of a link between hydrometeorological drought hazards and their socioeconomic impact, the link at a subnational level has yet to be evaluated due to the lack of precise subnational information on disaster locations. Using the n

Externí odkaz: https://doaj.org/article/702a9df1a34a4260bfa8602996dfd951

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Akademický článek

Impact of cry wolf effects on social preparedness and the efficiency of flood early warning systems

Autor: Y. Sawada, R. Kanai, H. Kotani

Publikováno v: Hydrology and Earth System Sciences, Vol 26, Pp 4265-4278 (2022)

To improve the efficiency of flood early warning systems (FEWS), it is important to understand the interactions between natural and social systems. The high level of trust in authorities and experts is necessary to improve the likeliness of individua

Externí odkaz: https://doaj.org/article/6fb107ba69c74ed0835850d856974daa

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Akademický článek

Combining ensemble Kalman filter and reservoir computing to predict spatiotemporal chaotic systems from imperfect observations and models

Autor: F. Tomizawa, Y. Sawada

Publikováno v: Geoscientific Model Development, Vol 14, Pp 5623-5635 (2021)

Prediction of spatiotemporal chaotic systems is important in various fields, such as numerical weather prediction (NWP). While data assimilation methods have been applied in NWP, machine learning techniques, such as reservoir computing (RC), have rec

Externí odkaz: https://doaj.org/article/519387572b1f4b018d6c8d1012c26384

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Akademický článek

Socio-hydrological data assimilation: analyzing human–flood interactions by model–data integration

Autor: Y. Sawada, R. Hanazaki

Publikováno v: Hydrology and Earth System Sciences, Vol 24, Pp 4777-4791 (2020)

In socio-hydrology, human–water interactions are simulated by mathematical models. Although the integration of these socio-hydrological models and observation data is necessary for improving the understanding of human–water interactions, the meth

Externí odkaz: https://doaj.org/article/75b5b404dff04e54b185725231514887

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Akademický článek

Do surface lateral flows matter for data assimilation of soil moisture observations into hyperresolution land models?

Autor: Y. Sawada

Publikováno v: Hydrology and Earth System Sciences, Vol 24, Pp 3881-3898 (2020)

It is expected that hyperresolution land modeling substantially innovates the simulation of terrestrial water, energy, and carbon cycles. The major advantage of hyperresolution land models against conventional 1-D land surface models is that hyperres

Externí odkaz: https://doaj.org/article/b76929536a6d4db093424158ab9632f7

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