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Akademický článek

GTWS-MLrec: global terrestrial water storage reconstruction by machine learning from 1940 to present

Autor: J. Yin, L. J. Slater, A. Khouakhi, L. Yu, P. Liu, F. Li, Y. Pokhrel, P. Gentine

Publikováno v: Earth System Science Data, Vol 15, Pp 5597-5615 (2023)

Terrestrial water storage (TWS) includes all forms of water stored on and below the land surface, and is a key determinant of global water and energy budgets. However, TWS data from measurements by the Gravity Recovery and Climate Experiment (GRACE)

Externí odkaz: https://doaj.org/article/dcd3e62463734f35a68c040c854317db

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Akademický článek

Experiments of an IoT-based wireless sensor network for flood monitoring in Colima, Mexico

Autor: O. Mendoza-Cano, R. Aquino-Santos, J. López-de la Cruz, R. M. Edwards, A. Khouakhi, I. Pattison, V. Rangel-Licea, E. Castellanos-Berjan, M. A. Martinez-Preciado, P. Rincón-Avalos, P. Lepper, A. Gutiérrez-Gómez, J. M. Uribe-Ramos, J. Ibarreche, I. Perez

Publikováno v: Journal of Hydroinformatics, Vol 23, Iss 3, Pp 385-401 (2021)

Urban flooding is one of the major issues in many parts of the world, and its management is often challenging. One of the challenges highlighted by the hydrology and related communities is the need for more open data and monitoring of floods in space

Externí odkaz: https://doaj.org/article/e28317c7e1464d65a3b458409820399c

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Akademický článek

Using R in hydrology: a review of recent developments and future directions

Autor: L. J. Slater, G. Thirel, S. Harrigan, O. Delaigue, A. Hurley, A. Khouakhi, I. Prosdocimi, C. Vitolo, K. Smith

Publikováno v: Hydrology and Earth System Sciences, Vol 23, Pp 2939-2963 (2019)

The open-source programming language R has gained a central place in the hydrological sciences over the last decade, driven by the availability of diverse hydro-meteorological data archives and the development of open-source computational tools. The

Externí odkaz: https://doaj.org/article/d55b7a01885d4340b21da502734e83b8

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