Výsledky vyhledávání - "Bruce Davison"

Representation and improved parameterization of reservoir operation in hydrological and land-surface models

Autor: Fuad Yassin, Howard Wheater, Gonzalo Sapriza-Azuri, Mohamed Elshamy, Saman Razavi, Bruce Davison

Publikováno v: Hydrology and Earth System Sciences, Vol 23, Pp 3735-3764 (2019)

Reservoirs significantly affect flow regimes in watershed systems by changing the magnitude and timing of streamflows. Failure to represent these effects limits the performance of hydrological and land-surface models (H-LSMs) in the many highly regul

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf4cc0315f39f51509013543e7aebb42
https://doi.org/10.5194/hess-23-3735-2019

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Summary and synthesis of Changing Cold Regions Network (CCRN) research in the interior of western Canada – Part 2: Future change in cryosphere, vegetation, and hydrology

The interior of western Canada, like many similar cold mid- to high-latitude regions worldwide, is undergoing extensive and rapid climate and environmental change, which may accelerate in the coming decades. Understanding and predicting changes in co

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e46ede1b8d4a19f0012b36dbf671602
https://doi.org/10.5194/hess-2020-491

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Data assimilation of satellite-based terrestrial water storage changes into a hydrology land-surface model

Autor: Saman Razavi, Kalifa Goïta, Bruce Davison, Ala Bahrami, Ramata Magagi, Mohamed Elshamy, Daniel Princz

Publikováno v: Journal of Hydrology. 597:125744

Accurate estimation of snow mass or snow water equivalent (SWE) over space and time is required for global and regional predictions of the effects of climate change. This work investigates whether integration of remotely sensed terrestrial water stor

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3c3be313332598991d8580494aae746a
https://doi.org/10.1016/j.jhydrol.2020.125744

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Comparison of X-Band and L-Band Soil Moisture Retrievals for Land Data Assimilation

Autor: Bryan A. Tolson, Jonathan Li, Xiaoyong Xu, Bruce Davison

Publikováno v: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 10:3850-3860

This paper explores for the first time assimilation of the X-band soil moisture retrievals by the advanced microwave scanning radiometer-Earth observing system and the advanced microwave scanning radiometer 2 in Environment Canada's standalone Modeli

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d59b09af1f0010cb414629c8913e0afa
https://doi.org/10.1109/jstars.2017.2703988

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Enhanced identification of a hydrologic model using streamflow and satellite water storage data: A multicriteria sensitivity analysis and optimization approach

Autor: Saman Razavi, Bruce Davison, Gonzalo Sapriza-Azuri, Fuad Yassin, Howard Wheater, Alain Pietroniro

Publikováno v: Hydrological Processes. 31:3320-3333

Hydrologic model development and calibration have continued in most cases to focus only on accurately reproducing streamflows. However, complex models, for example, the so-called physically based models, possess large degrees of freedom that, if not

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::819d83800ee2982151bc910aa3ef5bfb
https://doi.org/10.1002/hyp.11267

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Assimilation of Synthetic Remotely Sensed Soil Moisture in Environment Canada's MESH Model

Autor: Bryan A. Tolson, Jonathan Li, Bruce Davison, Xiaoyong Xu

Publikováno v: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 10:1317-1327

With recent advances in satellite microwave soil moisture estimation, particularly the launch of the Soil Moisture and Ocean Salinity satellite and the soil moisture active passive mission, there is an increased demand for exploiting the potential of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ce0e3dabd09188fc41c038e9c4aa6559
https://doi.org/10.1109/jstars.2016.2626256

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Parameter-state ensemble thinning for short-term hydrological prediction

Autor: Robert Leconte, Man K. Yau, Vincent Fortin, Alain Pietroniro, Bruce Davison

Publikováno v: Hydrology and Earth System Sciences, Vol 23, Pp 741-762 (2019)

The main sources of uncertainty in hydrological modelling can be summarized as structural errors, parameter errors, and data errors. Operational modellers are generally more concerned with predictive ability than model errors, and this paper presents

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d71b7d46a3f8dc155d8a258d771944d3
https://www.hydrol-earth-syst-sci.net/23/741/2019/

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