Interpolation of daily solar radiation for New Zealand using a satellite data-derived cloud cover surface

Tait,; Liley,

doi:10.2307/26169706

Cited by 20 publications

(14 citation statements)

References 16 publications

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“…Daily VCSN data were estimated for the whole of New Zealand on a 0.05°latitude/ longitude grid Tait, 2008;Tait and Liley, 2009). This spatial interpolation used a thin-plate smoothing spline model (ANUSPLIN; Hutchinson, 2010), utilising two location variables (latitude and longitude) and, for some variables, a third ''pattern'' variable (usually elevation).…”

Section: Model Fittingmentioning

confidence: 99%

Use of a process-based model to describe spatial variation in Pinus radiata productivity in New Zealand

Kirschbaum¹,

Watt²

2011

Forest Ecology and Management

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Section: Model Fittingmentioning

confidence: 99%

Use of a process-based model to describe spatial variation in Pinus radiata productivity in New Zealand

Kirschbaum¹,

Watt²

2011

Forest Ecology and Management

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“…Daily data are estimated for the whole of New Zealand on a 0.05°latitude/longitude grid, using a thin-plate smoothing spline to spatially interpolate daily observational data Tait, 2008;Tait & Liley, 2009). Daily data are estimated for the whole of New Zealand on a 0.05°latitude/longitude grid, using a thin-plate smoothing spline to spatially interpolate daily observational data Tait, 2008;Tait & Liley, 2009).…”

Section: Model Descriptionmentioning

confidence: 99%

“…Meteorological surfaces used to describe current and future climate National Institute of Water and Atmospheric Research Ltd. (NIWA) maintains a Virtual Climate Station Network of daily weather data at a regular grid across New Zealand. Daily data are estimated for the whole of New Zealand on a 0.05°latitude/longitude grid, using a thin-plate smoothing spline to spatially interpolate daily observational data Tait, 2008;Tait & Liley, 2009). The spline methodology incorporates topographic and other spatial information (depending upon the weather variable) to aide the interpolation.…”

Section: Model Descriptionmentioning

confidence: 99%

Future wood productivity ofPinus radiatainNewZealand under expected climatic changes

Kirschbaum

Watt

Tait

et al. 2012

Global Change Biology

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The physiologically based growth model CenW was used to simulate wood‐productivity responses of Pinus radiata forests to climate change in New Zealand. The model was tested under current climatic conditions against a comprehensive set of observations from growth plots located throughout the country. Climate change simulations were based on monthly climate change fields of 12 GCMs forced by the SRES B1, A1B and A2 emission scenarios for 2040 and 2090. Simulations used either constant or increasing CO2 concentrations corresponding to the different emission scenarios. With constant CO2, there were only slight growth responses to climate change across the country as a whole. More specifically, there were slight growth reductions in the warmer north but gains in the cooler south, especially at higher altitudes. For sites where P. radiata is currently grown, and across the full suite of GCMs and emission scenarios, changes in wood productivity averaged +3% for both 2040 and 2090. When increasing CO2 concentration was also included, responses of wood productivity were generally positive, with average increases of 19% by 2040 and 37% by 2090. These responses varied regionally, ranging from relatively minor changes in the north of the country to very significant increases in the south, where the beneficial effect of increasing CO2 combined with the beneficial effect of increasing temperatures. These relatively large responses to CO2 depend on maintenance of the current adequate fertility levels in most commercial plantations. Productivity enhancements came at the expense of some soil‐carbon losses. Average losses for the country were simulated to average 3.5% under constant CO2 and 1.5% with increasing CO2 concentration. Again, there were regional differences, with larger losses for regions with lesser growth enhancements, and lesser reductions in regions where greater productivity enhancements could partly balance the effect of faster decomposition activity.

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“…These data were obtained from the Virtual Climate Station Network (VCSN) developed by NIWA (National Institute of Water and Atmospheric Research Ltd.). Daily VCSN data were estimated for the whole of New Zealand on a 0.05 latitude/longitude grid (Tait et al, 2006;Tait, 2008;Tait and Liley, 2009). This spatial interpolation used a thin-plate smoothing spline model (ANU-SPLIN; Hutchinson, 2010), utilising two location variables (latitude and longitude) and, for some variables, a third ''pattern'' variable (usually elevation).…”

Section: Determination Of Water Balancementioning

confidence: 99%

Nitrogen leaching after fertilising young Pinus radiata plantations in New Zealand

Davis

Coker

Watt

et al. 2012

Forest Ecology and Management

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Interpolation of daily solar radiation for New Zealand using a satellite data-derived cloud cover surface

Cited by 20 publications

References 16 publications

Use of a process-based model to describe spatial variation in Pinus radiata productivity in New Zealand

Use of a process-based model to describe spatial variation in Pinus radiata productivity in New Zealand

Future wood productivity ofPinus radiatainNewZealand under expected climatic changes

Nitrogen leaching after fertilising young Pinus radiata plantations in New Zealand

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