Zobrazeno 1 - 10
of 39
pro vyhledávání: '"L. J. Slater"'
Publikováno v:
Hydrology and Earth System Sciences, Vol 28, Pp 1567-1583 (2024)
Streamflow elasticity is the ratio of the expected percentage change in streamflow to a 1 % change in precipitation – a simple approximation of how responsive a river is to precipitation. Typically, streamflow elasticity is estimated for average an
Externí odkaz:
https://doaj.org/article/894209ced1654c1383dd8243045bb05d
GTWS-MLrec: global terrestrial water storage reconstruction by machine learning from 1940 to present
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
Autor:
L. J. Slater, L. Arnal, M.-A. Boucher, A. Y.-Y. Chang, S. Moulds, C. Murphy, G. Nearing, G. Shalev, C. Shen, L. Speight, G. Villarini, R. L. Wilby, A. Wood, M. Zappa
Publikováno v:
Hydrology and Earth System Sciences, Vol 27, Pp 1865-1889 (2023)
Hybrid hydroclimatic forecasting systems employ data-driven (statistical or machine learning) methods to harness and integrate a broad variety of predictions from dynamical, physics-based models – such as numerical weather prediction, climate, land
Externí odkaz:
https://doaj.org/article/a3319d8c27b9466ea2e0d6a22320a892
Publikováno v:
Geophysical Research Letters, Vol 50, Iss 16, Pp n/a-n/a (2023)
Abstract Geomorphologists have long debated the relative importance of disturbance magnitude, duration, and frequency in shaping landscapes. For river‐channel adjustment by floods, some argue that the cumulative hydrograph, rather than magnitude or
Externí odkaz:
https://doaj.org/article/0ce8ddf7b32f4727a8efb4faff3a6d09
Publikováno v:
Earth System Dynamics, Vol 13, Pp 1377-1396 (2022)
Recent extreme weather events have had severe impacts on UK crop yields, and so there is concern that a greater frequency of extremes could affect crop production in a changing climate. Here we investigate the impacts of future climate change on whea
Externí odkaz:
https://doaj.org/article/502b0b7636a8473a97ecda6bcc2c5a4c
Publikováno v:
Geophysical Research Letters, Vol 50, Iss 3, Pp n/a-n/a (2023)
Abstract Accurate long‐term flood predictions are increasingly needed for flood risk management in a changing climate, but are hindered by the underestimation of climate variability by climate models. Here, we drive a statistical flood model with a
Externí odkaz:
https://doaj.org/article/bd6198a018fc4156aec2d311b0f3815f
Autor:
M. I. Brunner, L. J. Slater
Publikováno v:
Hydrology and Earth System Sciences, Vol 26, Pp 469-482 (2022)
Assessing the rarity and magnitude of very extreme flood events occurring less than twice a century is challenging due to the lack of observations of such rare events. Here we develop a new approach, pooling reforecast ensemble members from the Europ
Externí odkaz:
https://doaj.org/article/cdbf9b15c5074f8fa9b70777e3c9e2ed
Autor:
L. J. Slater, B. Anderson, M. Buechel, S. Dadson, S. Han, S. Harrigan, T. Kelder, K. Kowal, T. Lees, T. Matthews, C. Murphy, R. L. Wilby
Publikováno v:
Hydrology and Earth System Sciences, Vol 25, Pp 3897-3935 (2021)
Hydroclimatic extremes such as intense rainfall, floods, droughts, heatwaves, and wind or storms have devastating effects each year. One of the key challenges for society is understanding how these extremes are evolving and likely to unfold beyond th
Externí odkaz:
https://doaj.org/article/1a4a584be56243eeb66c9ac5a706f8f1
Autor:
T. Kelder, T. I. Marjoribanks, L. J. Slater, C. Prudhomme, R. L. Wilby, J. Wagemann, N. Dunstone
Publikováno v:
Meteorological Applications, Vol 29, Iss 3, Pp n/a-n/a (2022)
Abstract Low‐likelihood weather events can cause dramatic impacts, especially when they are unprecedented. In 2020, amongst other high‐impact weather events, UK floods caused more than £300 million damage, prolonged heat over Siberia led to infr
Externí odkaz:
https://doaj.org/article/c2b0f7a3f3754fc496774e3c2533f35b
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