Zobrazeno 1 - 10
of 959
pro vyhledávání: '"L Slater"'
Publikováno v:
Hydrology and Earth System Sciences, Vol 28, Pp 3305-3326 (2024)
Climate change influences the water cycle and alters the spatiotemporal distribution of hydrological variables, thus complicating the projection of future streamflow and hydrological droughts. Although machine learning is increasingly employed for hy
Externí odkaz:
https://doaj.org/article/5932153973814a15bfff95ad43db2785
Autor:
S. H. Gebrechorkos, J. Leyland, S. J. Dadson, S. Cohen, L. Slater, M. Wortmann, P. J. Ashworth, G. L. Bennett, R. Boothroyd, H. Cloke, P. Delorme, H. Griffith, R. Hardy, L. Hawker, S. McLelland, J. Neal, A. Nicholas, A. J. Tatem, E. Vahidi, Y. Liu, J. Sheffield, D. R. Parsons, S. E. Darby
Publikováno v:
Hydrology and Earth System Sciences, Vol 28, Pp 3099-3118 (2024)
Precipitation is the most important driver of the hydrological cycle, but it is challenging to estimate it over large scales from satellites and models. Here, we assessed the performance of six global and quasi-global high-resolution precipitation da
Externí odkaz:
https://doaj.org/article/aa334cd420dc4333afb2343ea3e16619
Publikováno v:
Hydrology and Earth System Sciences, Vol 28, Pp 2081-2105 (2024)
Widespread afforestation has been proposed internationally to reduce atmospheric carbon dioxide; however, the specific hydrological consequences and benefits of such large-scale afforestation (e.g. natural flood management) are poorly understood. We
Externí odkaz:
https://doaj.org/article/14ef0db96e8548498289652b58ac067a
Autor:
T. Lees, S. Reece, F. Kratzert, D. Klotz, M. Gauch, J. De Bruijn, R. Kumar Sahu, P. Greve, L. Slater, S. J. Dadson
Publikováno v:
Hydrology and Earth System Sciences, Vol 26, Pp 3079-3101 (2022)
Neural networks have been shown to be extremely effective rainfall-runoff models, where the river discharge is predicted from meteorological inputs. However, the question remains: what have these models learned? Is it possible to extract information
Externí odkaz:
https://doaj.org/article/15d321d05fcc4777b91ade7655980619
Publikováno v:
Hydrology and Earth System Sciences, Vol 25, Pp 5517-5534 (2021)
Long short-term memory (LSTM) models are recurrent neural networks from the field of deep learning (DL) which have shown promise for time series modelling, especially in conditions when data are abundant. Previous studies have demonstrated the applic
Externí odkaz:
https://doaj.org/article/52439268c3c94462808e3826ed5337bd
Autor:
Charles L. Slater, Sarah W. Nelson
This volume originates from the International Study of Principal Preparation (ISPP), a collaborative project representing nearly a decade of research on principal preparation in countries throughout the world. Through focused stages of research, the
Publikováno v:
Earth and Space Science, Vol 9, Iss 3, Pp n/a-n/a (2022)
Abstract Pointing to the Integrated, Coordinated, Open, Networked Findability, Accessibility, Interoperability, and Reusability (ICON‐FAIR) principles, we have determined several opportunities for implementation within the realm of near‐surface g
Externí odkaz:
https://doaj.org/article/dd2ab4d12b4f4872bf334eaf0d6c0dea
Autor:
Michael T Yin, Ruijun Chen, George Hripcsak, Magdalena E Sobieszczyk, Sherif M Shoucri, Lawrence Purpura, Clare DeLaurentis, Matthew A Adan, Deborah A Theodore, Alexandria Lauren Irace, Shelief Y Robbins-Juarez, Apurva M Khedagi, Daniel Letchford, Amro A Harb, Lillian M Zerihun, Kate E Lee, Karen Gambina, Max C Lauring, Noah Chen, Colin P Sperring, Sanket S Mehta, Ellen L Myers, Hueyjong Shih, Michael G Argenziano, Samuel L Bruce, Cody L Slater, Jonathan R Tiao, Karthik Natarajan, Delivette Castor, Jason E Zucker
Publikováno v:
BMJ Open, Vol 11, Iss 6 (2021)
Objective To characterise the long-term outcomes of patients with COVID-19 admitted to a large New York City medical centre at 3 and 6 months after hospitalisation and describe their healthcare usage, symptoms, morbidity and mortality.Design Retrospe
Externí odkaz:
https://doaj.org/article/7571f8dd0bfb4ce39be803f501dd3b4a
Autor:
U Shimabukuro, A Takahashi, J Okado, N Kokubun, JB Thiebot, A Will, Y Watanuki, B Addison, SA Hatch, JM Hipfner, L Slater, BA Drummond, AS Kitaysky
Publikováno v:
Marine Ecology Progress Series. 708:177-189
Multi-colony studies of breeding seabirds may provide insights into the mechanistic links between large-scale climate variability and local changes in prey availability. In the North Pacific, the Pacific Decadal Oscillation (PDO) is a dominant climat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::815724fef76bf07b068cd309ae3ebf87
https://doi.org/10.3354/meps14276
https://doi.org/10.3354/meps14276