Evaluation of geo‐referenced grids of 1961–1990 Canadian temperature and precipitation normals

Milewska, Ewa J.; Hopkinson, R. F.; Niitsoo, Ain

doi:10.3137/ao.430104

Cited by 39 publications

(38 citation statements)

References 20 publications

(18 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These estimates are interpolated to a regular grid, making them GIS-compatible. Previous mapping efforts with PRISM have included peer-reviewed, official USDA precipitation and temperature maps for all 50 states and Caribbean and Pacific Islands; a new official climate atlas for the United States; a 112-year series of monthly temperature, precipitation, and dew point maps for the conterminous 48 states; detailed precipitation and temperature maps for Canada, China, and Mongolia, and the first comprehensive precipitation maps for the European Alps region (Daly et al, 2001;Hannaway et al, 2005;Milewska et al, 2005;Schwarb et al, 2001a,b;Simpson et al, 2005). Reports and papers describing PRISM are available from http://prism.oregonstate.edu.…”

Section: Prism Overview and Modellingmentioning

confidence: 99%

“…This results in temperature inversions, in which temperature sharply increases, rather than decreases, with elevation (Clements et al, 2003). In Polar regions, widespread regional inversions hundreds of kilometres in extent can dominate wintertime temperature patterns (Milewska et al, 2005;Simpson et al, 2005). Terrain can also serve as a barrier between air masses, creating sharply defined horizontal temperature gradients.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Physiographically sensitive mapping of climatological temperature and precipitation across the conterminous United States

Daly

Halbleib

Smith

et al. 2008

Intl Journal of Climatology

2,486

2,113

View full text Add to dashboard Cite

Spatial climate data sets of 1971-2000 mean monthly precipitation and minimum and maximum temperature were developed for the conterminous United States. These 30-arcsec (∼800-m) grids are the official spatial climate data sets of the U.S. Department of Agriculture. The PRISM (Parameter-elevation Relationships on Independent Slopes Model) interpolation method was used to develop data sets that reflected, as closely as possible, the current state of knowledge of spatial climate patterns in the United States. PRISM calculates a climate-elevation regression for each digital elevation model (DEM) grid cell, and stations entering the regression are assigned weights based primarily on the physiographic similarity of the station to the grid cell. Factors considered are location, elevation, coastal proximity, topographic facet orientation, vertical atmospheric layer, topographic position, and orographic effectiveness of the terrain. Surface stations used in the analysis numbered nearly 13 000 for precipitation and 10 000 for temperature. Station data were spatially quality controlled, and short-period-of-record averages adjusted to better reflect the 1971-2000 period.PRISM interpolation uncertainties were estimated with cross-validation (C-V) mean absolute error (MAE) and the 70% prediction interval of the climate-elevation regression function. The two measures were not well correlated at the point level, but were similar when averaged over large regions. The PRISM data set was compared with the WorldClim and Daymet spatial climate data sets. The comparison demonstrated that using a relatively dense station data set and the physiographically sensitive PRISM interpolation process resulted in substantially improved climate grids over those of WorldClim and Daymet. The improvement varied, however, depending on the complexity of the region. Mountainous and coastal areas of the western United States, characterized by sparse data coverage, large elevation gradients, rain shadows, inversions, cold air drainage, and coastal effects, showed the greatest improvement. The PRISM data set benefited from a peer review procedure that incorporated local knowledge and data into the development process.

show abstract

Section: Prism Overview and Modellingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Physiographically sensitive mapping of climatological temperature and precipitation across the conterminous United States

Daly

Halbleib

Smith

et al. 2008

Intl Journal of Climatology

2,486

2,113

View full text Add to dashboard Cite

show abstract

“…Recently the square-grid technique has come under some criticism. Milewska et al (2005) compared gridded climatologies over western Canada that were generated using very different methodologies. They found that all four techniques examined produced very good results for temperature over the Prairies (where station density is relatively high), but the precipitation (P) generated by the squaregrid technique was significantly different from the others.…”

Section: Datamentioning

confidence: 99%

On the simulation of regional scale sublimation over boreal and agricultural landscapes in a climate model

et al. 2006

View full text Add to dashboard Cite

(2006) On the simulation of regional scale sublimation over boreal and agricultural landscapes in a climate model, 44:3,[289][290][291][292][293][294][295][296][297][298][299][300][301][302][303][304] DOI: 10.3137 de 0,16 et 0,09, respectivement, pour RÉSUMÉ [Traduit par la rédaction] Dans cette étude, nous faisons une évaluation détaillée de la sublimation à l'échelle régionale pour deux types de surfaces contrastants, d'après les observations et les simulations d'un modèle climatique régional. De nouvelles estimations (fondées sur des observations) des fractions d'évaporation (sublimation/précipitations) à l'échelle régionale basées sur des données de télédétection et sur les données climatiques d'une grille de surface suggèrent des valeurs

show abstract

“…With a larger exponent, the closest stations receive a larger portion of the total weight as compared to a smaller exponent. The most common choice of exponent has been ''2'', because the influence of a climate station at a given point is proportional to the area of the circle of radius equal to the distance to the station (Milewska et al 2005).…”

Section: Daily Solar Radiationmentioning

confidence: 99%

“…The choice of spatial interpolation method is important, although no single method is optimal for all regions (Nalder and Wein 1998). A comprehensive review of some conventional interpolation methods was done by Shen et al (2001).…”

mentioning

confidence: 99%

Development and evaluation of a Canadian agricultural ecodistrict climate database

Xu¹,

Jong²,

Gameda³

et al. 2010

Can. J. Soil. Sci.

View full text Add to dashboard Cite

Spatially representative climate data are required input in various agricultural and environmental modelling studies. An agricultural ecodistrict climate database for Canada was developed from climate station data using a spatial interpolation procedure. This database includes daily maximum and minimum air temperatures, precipitation and incoming global solar radiation, which are necessary inputs for many agricultural modelling studies. The spatial interpolation procedure combines inverse distance squared weighting with the nearest neighbour approach. Cross-validation was performed to evaluate the accuracy of the interpolation procedure. In addition to some common error measurements, such as mean biased error and root mean square error, empirical probability distributions and accurate rates of precipitation occurrence were also examined. Results show that the magnitude of errors for this database was similar to those in other studies that used similar or different interpolation procedures. The average root mean square error (RMSE) was 1.7°C, 2.2°C and 3.8 mm for daily maximum and minimum temperature, and precipitation, respectively. The RMSE for solar radiation varied from 16 to 19% of the climate normal during April through September and from 21 to 28% of the climate normal during the remainder of the year.Key words: Maximum and minimum temperature, precipitation, solar radiation, ecodistrict, interpolation, cross validation

show abstract

Evaluation of geo‐referenced grids of 1961–1990 Canadian temperature and precipitation normals

Abstract: Four sets of geo-referenced grids of 1961-90 normals, or thirty-year

Cited by 39 publications

References 20 publications

Physiographically sensitive mapping of climatological temperature and precipitation across the conterminous United States

Physiographically sensitive mapping of climatological temperature and precipitation across the conterminous United States

On the simulation of regional scale sublimation over boreal and agricultural landscapes in a climate model

Development and evaluation of a Canadian agricultural ecodistrict climate database

Contact Info

Product

Resources

About