Homogenization of Daily Temperatures over Canada

Vincent, Lucie A.; Zhang, X.; Bonsal, Barrie; Hogg, W. D.

doi:10.1175/1520-0442(2002)015<1322:hodtoc>2.0.co;2

Cited by 279 publications

(243 citation statements)

References 17 publications

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“…ec.gc.ca/index.php?page=download-obs) that have at least 15 valid years in the 1980-2004 validation period of GCM-driven RCM simulations. Where stations were adjusted and corrected for known systematic errors, we used the corrected station data from the Adjusted Historical Canadian Climate Data set (AHCCD; Vincent et al 2002Vincent et al , 2012Mekis and Vincent 2011). The AHCCD takes account of systematic errors from changes in observing programs, instrumentation and station moves (the latter for temperature data only), and also includes station joining to produce longer records.…”

Section: Surface Observationsmentioning

confidence: 99%

Evaluation of CORDEX-Arctic daily precipitation and temperature-based climate indices over Canadian Arctic land areas

et al. 2017

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Section: Surface Observationsmentioning

confidence: 99%

Evaluation of CORDEX-Arctic daily precipitation and temperature-based climate indices over Canadian Arctic land areas

et al. 2017

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“…To interpolate monthly correction factors to a daily basis, a scheme similar to that used by Vincent et al [2002] has been followed. Complete details on the procedures followed, to adjust maximum and minimum daily data, are provided in the companion paper [B06].…”

Section: Introductionmentioning

confidence: 99%

Temporal and spatial temperature variability and change over Spain during 1850–2005

et al. 2007

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[1] We analyze temporal and spatial patterns of temperature change over Spain during the period 1850-2005, using daily maximum (T max ), minimum (T min ), and mean (T mean ) temperatures from the 22 longest and most reliable Spanish records. Over mainland Spain, a significant (at 0.01 level) warming of 0.10°C/decade is found for the annual average of T mean . Autumn and winter contributed slightly more than spring and summer to the annual warming over the 1850-2005 period. The overall warming is also associated with higher rates of change for T max than T min (0.11°versus 0.08°C/decade for . This asymmetric diurnal warming increased in the twentieth century (0.17°versus 0.09°C/decade during 1901 -2005). Nevertheless, at many (few) individual stations, the difference between T max and T min is not statistically significant over 1850-2005 (1901-2005). Principal Component Analysis has been carried out to identify spatial modes of Spanish long-term temperature variability . Three principal spatial patterns are found, Northern Spain, Southeastern and Eastern Spain, and Southwestern Spain. All three patterns show similar significant warming trends. The overall warming has been more associated with reductions in cold extremes, as opposed to increases in warm extremes. Estimated trends in the number of moderately extreme cold days (T max < 10th percentile) and moderately extreme cold nights (T min < 10th percentile) show significant reductions of 0.74 and 0.54 days/decade, respectively, over 1850-2005. Moderately extreme warm days and nights (T max and T min > 90th percentile) increased significantly but at lower rates of 0.53 and 0.49 days/decade.

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“…These needs for climate data, in addition to applications of the data in local agriculture and water resources planning, have been propelling the development of quality datasets from ground and radiosonde observations, despite the recent multiple downsizes of many observation networks, such as those in the USA and Canada. As a result, daily and hourly datasets of various meteorological variables have been developed for many countries and regions in the world (Peterson et al, 1997;Manton et al, 2001;Klein Tank et al, 2002;Vincent et al, 2002).…”

Section: Introductionmentioning

confidence: 99%

Quality control of daily meteorological data in China, 1951–2000: a new dataset

Feng

Qian

2004

Intl Journal of Climatology

369

233

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Long-term observational data are essential for understanding local and regional climate and climate change. These data are also important for hydrological designs and agricultural decision making. This study examined the daily meteorological data from 726 stations in China from 1951 to 2000, and developed an unprecedented climatic dataset that contains 10 daily variables: maximum and minimum surface air temperatures, mean surface air temperature, skin surface temperature, surface air relative humidity, wind speed, wind gust, sunshine duration hours, precipitation, and pan evaporation. The characteristics of the original stations' data and quality-control methods designed and used in developing this dataset are detailed. The quality-control procedures identified less than 0.05% of the data records as being erroneous because of typos and incorrect units, reading, or data coding. When the spatial and temporal consistency of the variables' time series were inspected, nearly 37.9% of the stations were found to have one or more variables with inconsistent changes. The sources causing the temporal inconsistency/discontinuity were evaluated, and a method was developed and applied to adjust those data segments containing inconsistent values. The resulting data series, as an alternative to the original quality-controlled series, showed both spatially and temporally consistent trends in the occurrence frequency of extreme climate events compared with the unadjusted data series. Finally, the quality-controlled daily data were gridded to a 1.0°×1.0°grid system covering China after the erroneous and missing data were estimated. This new dataset opens up opportunities for analysing and understanding the climate variability and climate change in China.

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Homogenization of Daily Temperatures over Canada

Cited by 279 publications

References 17 publications

Evaluation of CORDEX-Arctic daily precipitation and temperature-based climate indices over Canadian Arctic land areas

Evaluation of CORDEX-Arctic daily precipitation and temperature-based climate indices over Canadian Arctic land areas

Temporal and spatial temperature variability and change over Spain during 1850–2005

Quality control of daily meteorological data in China, 1951–2000: a new dataset

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