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What is WorldClim?
WorldClim is a database of high spatial resolution global weather and climate data. These data can be used for mapping and spatial modeling. You can download gridded weather and climate data for historical (near current) and future conditions.
How do you downscale climate data?
The two main approaches to downscaling climate information are dynamical and statistical. Dynamical downscaling requires running high-resolution climate models on a regional sub-domain, using observational data or lower-resolution climate model output as a boundary condition.
Is downscaling better than upscaling?
Upscaling has no performance impact. It is just taking the image and stretching it to fit fullscreen. Downscaling runs at the higher res so has the same amount of resources used regardless of monitor res but just squeezes the image to show on a smaller res which has the same effect as SSAA.
What is a downscaled model?
Downscaled modeling examines relatively small areas in detail—in some cases down to 25 square kilometers,3 a far higher resolution than that offered by global climate model simulations. The goal is to generate more locally relevant projections of long-term weather patterns for regions, states, and cities.
What is a isothermal climate?
1 : of, relating to, or marked by equality of temperature. 2 : of, relating to, or marked by changes of volume or pressure under conditions of constant temperature.
What are the 4 major climate zones?
According to this classification system, four major climatic belts―equatorial, tropical, mid-latitude and arctic (Antarctic), which are dominated by equatorial, tropical, polar and arctic (Antarctic) air masses respectively―are differentiated in the globe.
How are weather stations interpolated in worldclim 2?
Weather station data were interpolated using thin-plate splines with covariates including elevation, distance to the coast and three satellite-derived covariates: maximum and minimum land surface temperature as well as cloud cover, obtained with the MODIS satellite platform.
What is the spatial resolution of worldclim 2?
We created a new dataset of spatially interpolated monthly climate data for global land areas at a very high spatial resolution (approximately 1 km 2).
How does interpolation improve the accuracy of climate predictions?
Interpolation was done for 23 regions of varying size depending on station density. Satellite data improved prediction accuracy for temperature variables 5–15% (0.07–0.17 °C), particularly for areas with a low station density, although prediction error remained high in such regions for all climate variables.
How is isolation measured in worldclim 2 climate?
Isolation was measured as the distance between a station and its nearest control point in the corresponding cross-validation set. Observations indicated by vertical ticks below graph. [Colour figure can be viewed at wileyonlinelibrary.com]. …