Zobrazeno 1 - 5
of 5
pro vyhledávání: '"H. K. McMillan"'
Autor:
I. K. Westerberg, H. K. McMillan
Publikováno v:
Hydrology and Earth System Sciences, Vol 19, Iss 9, Pp 3951-3968 (2015)
Information about rainfall–runoff processes is essential for hydrological analyses, modelling and water-management applications. A hydrological, or diagnostic, signature quantifies such information from observed data as an index value. Signatures a
Externí odkaz:
https://doaj.org/article/f582dc62534747bbb4f725c913dc8f2a
Autor:
H. K. McMillan, M. S. Srinivasan
Publikováno v:
Hydrology and Earth System Sciences, Vol 19, Iss 4, Pp 1767-1786 (2015)
Hydrological processes, including runoff generation, depend on the distribution of water in a catchment, which varies in space and time. This paper presents experimental results from a headwater research catchment in New Zealand, where we made distri
Externí odkaz:
https://doaj.org/article/bd263d8d9f28492f9d7c349992252ca2
Publikováno v:
Hydrology and Earth System Sciences, Vol 17, Iss 1, Pp 21-38 (2013)
This paper describes the design and use of a recursive ensemble Kalman filter (REnKF) to assimilate streamflow data in an operational flow forecasting system of seven catchments in New Zealand. The REnKF iteratively updates past and present model sta
Externí odkaz:
https://doaj.org/article/f3b4ae9f30044a648d3a0cfec4e17b81
Autor:
Shailesh Kumar Singh, E. Ö. Hreinsson, M. P. Clark, Michael Uddstrom, C. Zammit, H. K. McMillan
This paper describes the use of the Retrospective Ensemble Kalman Filter (REnKF) to assimilate streamflow data in an operational flow forecasting system of seven catchments in New Zealand. The REnKF updates past and present model states (soil water,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60da34e3cbde59f022781779e73d0ab4
https://doi.org/10.5194/hessd-9-9533-2012
https://doi.org/10.5194/hessd-9-9533-2012
Autor:
W. J. Marner, H. K. McMillan
Publikováno v:
Journal of Heat Transfer. 92:559-562