Rehabilitation and analysis of Canadian daily precipitation time series

Mekis, Éva; Hogg, W. D.

doi:10.1080/07055900.1999.9649621

Cited by 316 publications

(210 citation statements)

References 12 publications

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“…The primary remaining source of reduced river discharge is reduced precipitation. However, increases have been found in observed precipitation for these regions of Canada for annual [Groisman and Easterling, 1994] and seasonal [Mekis and Hogg, 1999] time periods, although these studies use longer time periods covering 50 to 100 year periods which are not directly comparable to the 30 year period in this study. Additionally, precipitation data are well known to contain large errors which tend to be downward biased especially in winter [Groisman and Easterling, 1994].…”

Section: Spatial Distribution Of the Gagesmentioning

confidence: 66%

Assessment of contemporary Arctic river runoff based on observational discharge records

Lammers¹,

Shiklomanov²,

et al. 2001

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Section: Spatial Distribution Of the Gagesmentioning

confidence: 66%

Assessment of contemporary Arctic river runoff based on observational discharge records

Lammers¹,

Shiklomanov²,

et al. 2001

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“…The stations' data is provided by Environment Canada and have been adjusted for possible bias due to winds, wetting losses, evaporation, etc. (Mekis and Hogg, 1999, for a description of the adjustment method). Data were available for the period from 1900 to 2007 for the more densely urbanized parts of Canada (essentially the southern regions), while they covered the 1950-2007 period for the other regions.…”

Section: Available Simulation Series and Observed Datamentioning

confidence: 99%

Future changes in intense precipitation over Canada assessed from multi‐model NARCCAP ensemble simulations

Mailhot

Beauregard

Talbot

et al. 2011

Intl Journal of Climatology

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Annual maxima (AM) series of precipitation from 15 simulations of the North American Regional Climate Change Assessment Program (NARCCAP) have been analysed for gridpoints covering Canada and the northern part of United States. The NARCCAP Regional Climate Models' simulations have been classified into the following three groups based on the driving data used at the RCMs boundaries: (1) NCEP (6 simulations); (2) GCM-historical (5 simulations); and (3) GCM-future (4 simulations). Historical simulations are representative of the 1968-2000 period while future simulations cover the 2041-2070 period. A reference common grid has been defined to ease the comparison. Multi-model average intensities of AM precipitation of 6-, 12-, 24-, 72-, and 120-h for 2-, 5-, 10-, and 20-year return periods have been estimated for each simulation group. Comparison of results from NCEP and GCM-historical groups shows good overall agreement in terms of spatial distribution of AM intensities. Comparison of GCM-future and GCM-historical groups clearly shows widespread increases with median relative changes across all gridpoints ranging from 12 to 18% depending on durations and return periods. Fourteen Canadian climatic regions have been used to define regional projections and average regional changes in intense precipitation have been estimated for each duration and return period. Uncertainties on these regional values, resulting from inter-model variability, were also estimated. Results suggest that inland regions (e.g. Ontario and more specifically Southern Ontario, the Prairies, Southern Quebec) will experience the largest relative increases in AM intensities while coastal regions (e.g. Atlantic Provinces and the West Coast) will experience the smallest ones. These projections are most valuable inputs for the assessment of future impact of climate change on water infrastructures and the development of more efficient adaptation strategies.

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“…Primary climatic variables, including minimum, mean, and maximum monthly temperature [42] and total monthly precipitation [43], were obtained from the nearest meteorological station (Brandon Agriculture Station which is located 88.5 km from the study site) for the period of 1895-1999. The primary monthly meteorological data were converted into a secondary, synthetic variable that measures net water availability which is referred to as a moisture index.…”

Section: Climate Datamentioning

confidence: 99%

Climatic Sensitivity of a Mixed Forest Association of White Spruce and Trembling Aspen at Their Southern Range Limit

Chhin

Wang

2016

Forests

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Climatic sensitivity of white spruce (Picea glauca (Moench) Voss) was examined growing in association with trembling aspen (Populus tremuloides Michx.) at their southern limit of distribution in a transitional ecotone between the southern boreal forest and northern prairie region. The study was carried out in the Spruce Woods Provincial Park (SWPP) located in southwestern Manitoba, Canada. The dry regional climate restricted trembling aspen growth during the growing season via moisture deficiency and temperature induced drought stress. Warm, mild winters also negatively affected radial growth of trembling aspen. Growth of white spruce was moderated by conditions within the aspen stands as radial growth patterns showed low variability from year to year, a low common growth signal, and a stronger response to temperature than to precipitation. Nonetheless, the dry regional climate still restricted growth of white spruce during the growing season via temperature induced drought stress. The findings of the study for white spruce support the stress gradient hypothesis in which facilitative interactions between tree species are expected under harsher environmental conditions.

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Rehabilitation and analysis of Canadian daily precipitation time series

Cited by 316 publications

References 12 publications

Assessment of contemporary Arctic river runoff based on observational discharge records

Assessment of contemporary Arctic river runoff based on observational discharge records

Future changes in intense precipitation over Canada assessed from multi‐model NARCCAP ensemble simulations

Climatic Sensitivity of a Mixed Forest Association of White Spruce and Trembling Aspen at Their Southern Range Limit

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