HOTRUNZ: an open-access 1 km resolution monthly 1910–2019 time series of interpolated temperature and rainfall grids with associated uncertainty for New Zealand
<p>Long time series of temperature and rainfall grids are fundamental to understanding how these environmental variables affect environmental or ecological patterns and processes such as plant distributions, plant and animal phenology, wildfires, and hydrology. Ideally such temperature and rai...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2022-06-01
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| Series: | Earth System Science Data |
| Online Access: | https://essd.copernicus.org/articles/14/2817/2022/essd-14-2817-2022.pdf |
| Summary: | <p>Long time series of temperature and rainfall grids are
fundamental to understanding how these environmental variables affect
environmental or ecological patterns and processes such as plant
distributions, plant and animal phenology, wildfires, and hydrology. Ideally
such temperature and rainfall grids are openly available and associated with
uncertainties so that data-quality issues are transparent to users. We
present a History of Open Temperature and Rainfall with Uncertainty in New
Zealand (HOTRUNZ) that uses climatological aided natural neighbour
interpolation to provide monthly 1 km resolution grids of total rainfall,
mean air temperature, mean daily maximum air temperature, and mean daily
minimum air temperature across New Zealand from 1910 to 2019. HOTRUNZ
matches the best available temporal extent and spatial resolution of any
open-access temperature and rainfall grids that include New Zealand and is
unique in providing associated spatial uncertainty in the variables' units.
The HOTRUNZ grids capture the dynamic spatial and temporal nature of
monthly temperature and rainfall and the uncertainties associated with the
interpolation. We also demonstrate how to quantify and visualise temporal
trends across New Zealand that recognise the temporal and spatial variation
in uncertainties in the HOTRUNZ data. The HOTRUNZ data are openly available
at <a href="https://doi.org/10.7931/zmvz-xf30">https://doi.org/10.7931/zmvz-xf30</a> (Etherington et al., 2021).</p> |
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| ISSN: | 1866-3508 1866-3516 |