Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Jean-Michel Perraud"'
Publikováno v:
Journal of Hydrology. 603:126798
We propose a revised version of the ERRIS (error reduction and representation in stages) error model capable of reliably propagating hydrological uncertainty to long lead times (>150 time steps). ERRIS employs four stages: a transformation to handle
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::afb261543277db10538636d35b82b48f
https://doi.org/10.1016/j.jhydrol.2021.126798
https://doi.org/10.1016/j.jhydrol.2021.126798
Autor:
Geoffrey M. Podger, Mac Coombe, Peter R. Taylor, Caroline Rosello, Amit Parashar, Jean-Michel Perraud, Ashmita Sengupta, Joel Rahman, Jackie O'Sullivan, Carmel Pollino
Publikováno v:
Environmental Modelling & Software. 141:105049
Water resources are under growing pressure globally. Sustainable water management requires an understanding of how much water is available, where it is stored and used, and how future developments may impact availability. Understanding this requires
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8433d008497f4008aea3b87567ede01a
https://doi.org/10.1016/j.envsoft.2021.105049
https://doi.org/10.1016/j.envsoft.2021.105049
Publikováno v:
Journal of Hydrology. 598:125739
Ephemeral rivers pose considerable challenges for hydrological forecasters. A staged error model is devised for hourly streamflow forecasting with emphasis on ephemeral rivers. Apart from key components such as bias-correction, autoregressive updatin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5ae9f00a825e9db484543f24a57acf8
https://doi.org/10.1016/j.jhydrol.2020.125739
https://doi.org/10.1016/j.jhydrol.2020.125739
Publikováno v:
Geophysical Research Letters. 43:1574-1581
Demand for quantitative assessments of likely climate change impact on runoff is increasing and conceptual rainfall-runoff models are essential tools for this task. However, the capacity of these models to extrapolate under changing climatic conditio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1fdefb2b154577b1d8220615d63f9ae3
https://doi.org/10.1002/2015gl067326
https://doi.org/10.1002/2015gl067326
Publikováno v:
Journal of Hydrometeorology. 13:1233-1250
Reliable predictions of water availability and streamflow characteristics, and the impact of climate and land use change on water availability, are central to water resources planning and management. This paper assesses the application of the widely
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd8edc0fb328934d04bd8cc8bce80be8
https://doi.org/10.1175/jhm-d-11-0114.1
https://doi.org/10.1175/jhm-d-11-0114.1
Publikováno v:
Journal of Hydrometeorology. 13:122-139
This paper assesses the relative uncertainties from GCMs and from hydrological models in modeling climate change impact on runoff across southeast Australia. Five lumped conceptual daily rainfall–runoff models are used to model runoff using histori
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::336e470cd14702b9d903172c018b242b
https://doi.org/10.1175/jhm-d-11-058.1
https://doi.org/10.1175/jhm-d-11-058.1
Publikováno v:
Journal of Hydrometeorology. 12:1100-1112
Different methods have been used to obtain the daily rainfall time series required to drive conceptual rainfall–runoff models, depending on data availability, time constraints, and modeling objectives. This paper investigates the implications of di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09a2546a5305422d040aa89c69def2cf
https://doi.org/10.1175/2011jhm1340.1
https://doi.org/10.1175/2011jhm1340.1
Publikováno v:
Journal of Hydrology. 394:447-457
Summary This paper presents results from a modelling study carried out to investigate whether the calibrated parameter values for rainfall–runoff models based on historical observed data can be used to reliably predict runoff responses to changes i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::247af152eb14a9d65fe078778e36509e
https://doi.org/10.1016/j.jhydrol.2010.09.018
https://doi.org/10.1016/j.jhydrol.2010.09.018
Publikováno v:
Environmental Modelling & Software. 20:1251-1262
This paper presents the strategic landscape investment model (SLIM). This tool can be used to map optimal landscape treatment patterns at regional scales. Developed for New South Wales (NSW) in Australia, SLIM aims to maximise an indexed measure of e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3c3467f0ba9b85db33fc9644ed55a6a
https://doi.org/10.1016/j.envsoft.2004.08.009
https://doi.org/10.1016/j.envsoft.2004.08.009
Autor:
Jean-Michel Perraud, Adam B Smith, Brent Henderson, David McJannet, Huidong Jin, A. I. J. M. van Dijk, Luigi J. Renzullo, D. Collins
Publikováno v:
Journal of Hydrology, 519(Part D), 2747-2762
Journal of Hydrology 519 (2014) Part D
Journal of Hydrology 519 (2014) Part D
Summary A framework was developed for the continental assimilation of satellite soil moisture (SM) into an operational water balance modelling system. The ensemble Kalman filter (EnKF) was implemented to assimilate AMSR-E and ASCAT-derived SM product
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::245f2d71a1ce6edba8f0a757c4a3c3e3
https://research.wur.nl/en/publications/continental-satellite-soil-moisture-data-assimilation-improves-ro
https://research.wur.nl/en/publications/continental-satellite-soil-moisture-data-assimilation-improves-ro
