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Aurora K Kagawa-Viviani

University of Hawaii at Manoa

Subject Areas: hydrology, ecohydrology

 Recent Activity

ABSTRACT:

Regression coefficients fitted for the AICc-selected best models of mean daily Tmax, Tmin, Tavg, and DTR for the 12 mean months and for all 144 months from January 2006-2017, fitted with station monthly data from the 2006-2017 period.

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ABSTRACT:

Station IDs, locations, and period of record for 309 surface air temperature stations used for this study.

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ABSTRACT:

Full set of all regression models and fitted coefficients evaluated for mean daily Tmax, Tmin, Tavg, and DTR. Models are ranked by decreasing AICc and were fit using station mean annual values from the 2006-2017 period. Latitude and longitude were excluded from the final model set as they were inconsistent predictors of Tmax, Tmin, Tavg, and DTR, and, when included, obscured interpretation of the fitted model coefficients. Highlighted rows indicate models corresponding to best multiple regression model form after accounting for multicollinearity based on a variance inflation factor < 5. Other highlighted model forms include segmented linear regression of temperature as a function of elevation with a 2150 m breakpoint (Model #129) and simple linear regression of temperature as a function of elevation (Model #1).

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ABSTRACT:

This composite resource contains geotiff files for Tmax, Tmin, and Tavg across the Hawaiian Islands, 250 m spatial resolution, for each month from January 2006 to December 2017. Tmax and Tmin were predicted from regression models of station-month Tmax, Tmin values fitted as a functions of elevation and environmental covariates. Tavg maps were calculated as the arithmetic mean of the corresponding Tmax and Tmin maps. Each geotiff file consists of a stack of 12 raster layers for the diurnal temperature metric and year indicated by the filename (e.g., Tmax_2017stack.tif =maximum daily temperature for each month of 2017).

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ABSTRACT:

This composite resource contains geotiff files for mean daily Tmax, Tmin, and Tavg across the Hawaiian Islands at 250 m spatial resolution. Tmax and Tmin were predicted for January-December based on regression models of station-month Tmax and Tmin values (averaged over 2006-2017) fitted as functions of elevation and environmental covariates. Tavg was calculated as the arithmetic mean of the Tmax and Tmin maps. Each geotiff file consists of a stack of 12 raster layers for months 1-12 (Jan-Dec).

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Composite Resource 0
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Multidimensional (NetCDF) 0
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Composite Resource Composite Resource

ABSTRACT:

This composite resource contains geotiff files for mean daily Tmax, Tmin, and Tavg across the Hawaiian Islands at 250 m spatial resolution. Tmax and Tmin were modeled by fitting regressions for station average values over the 2006-2017 base period. Tavg was calculated as the arithmetic mean of the Tmax and Tmin maps.

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Composite Resource Composite Resource

ABSTRACT:

This composite resource contains geotiff files for mean daily Tmax, Tmin, and Tavg across the Hawaiian Islands at 250 m spatial resolution. Tmax and Tmin were predicted for January-December based on regression models of station-month Tmax and Tmin values (averaged over 2006-2017) fitted as functions of elevation and environmental covariates. Tavg was calculated as the arithmetic mean of the Tmax and Tmin maps. Each geotiff file consists of a stack of 12 raster layers for months 1-12 (Jan-Dec).

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Composite Resource Composite Resource

ABSTRACT:

This composite resource contains geotiff files for Tmax, Tmin, and Tavg across the Hawaiian Islands, 250 m spatial resolution, for each month from January 2006 to December 2017. Tmax and Tmin were predicted from regression models of station-month Tmax, Tmin values fitted as a functions of elevation and environmental covariates. Tavg maps were calculated as the arithmetic mean of the corresponding Tmax and Tmin maps. Each geotiff file consists of a stack of 12 raster layers for the diurnal temperature metric and year indicated by the filename (e.g., Tmax_2017stack.tif =maximum daily temperature for each month of 2017).

Show More
Composite Resource Composite Resource

ABSTRACT:

Full set of all regression models and fitted coefficients evaluated for mean daily Tmax, Tmin, Tavg, and DTR. Models are ranked by decreasing AICc and were fit using station mean annual values from the 2006-2017 period. Latitude and longitude were excluded from the final model set as they were inconsistent predictors of Tmax, Tmin, Tavg, and DTR, and, when included, obscured interpretation of the fitted model coefficients. Highlighted rows indicate models corresponding to best multiple regression model form after accounting for multicollinearity based on a variance inflation factor < 5. Other highlighted model forms include segmented linear regression of temperature as a function of elevation with a 2150 m breakpoint (Model #129) and simple linear regression of temperature as a function of elevation (Model #1).

Show More
Composite Resource Composite Resource

ABSTRACT:

Station IDs, locations, and period of record for 309 surface air temperature stations used for this study.

Show More
Composite Resource Composite Resource

ABSTRACT:

Regression coefficients fitted for the AICc-selected best models of mean daily Tmax, Tmin, Tavg, and DTR for the 12 mean months and for all 144 months from January 2006-2017, fitted with station monthly data from the 2006-2017 period.

Show More