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APPLICABILITY OF VARIOUS INTERPOLATION APPROACHES FOR HIGH RESOLUTION SPATIAL MAPPING OF CLIMATE DATA IN KOREA
Climate Change Interpolation IDW Cokriging Kriging Precipitation Temperature
2018/5/14
The purpose of this study is to create a new dataset of spatially interpolated monthly climate data for South Korea at high spatial resolution (approximately 30m) by performing various spatio-statisti...
Simple dynamical models interpreting climate data and their metastability
metastability Simple dynamical models interpreting
2015/4/3
Thm 4: law of V 2 p,n(X) converges to 12-stable law if data of time series X have
α-stable residuals, α = p
Kolmogorov-Smirnov statistics: distance between empirical law of V2 p,n(X)
and 1
2-stabl...
TopoSCALE v.1.0: downscaling gridded climate data in complex terrain
complex terrain climate data
2014/12/18
Simulation of land surface processes is problematic in heterogeneous terrain due to the the high resolution
required of model grids to capture strong lateral variability
caused by, for example, topo...
Sensitivity of isoprene emissions estimated using MEGAN to the time resolution of input climate data
isoprene emissions MEGAN input climate data
2010/2/21
We evaluate the effect of varying the temporal resolution of the input climate data on isoprene emission estimates generated by the community emissions model MEGAN (Model of Emissions of Gases and Aer...
Nonlinear dimensionality reduction in climate data
Nonlinear dimensionality reduction climate data
2009/11/11
Linear methods of dimensionality reduction are useful tools for handling and interpreting high dimensional data. However, the cumulative variance explained by each of the subspaces in which the data s...
Utility of daily vs. monthly large-scale climate data：an intercomparison of two statistical downscaling methods
bias correction and spatial downscaling General Circulation Model climate data
2009/4/29
Downscaling of climate model data is essential to local and regional impact analysis. We compare two methods of statistical downscaling to produce continuous, gridded time series of precipitation and ...
Stochastic generation of annual, monthly and daily climate data: A review
R. Srikanthan T. A. McMahon
2009/3/24
The generation of rainfall and other climate data needs a range of models depending on the time and spatial scales involved. Most of the models used previously do not take into account year to year va...
Hand-written or printed manuscript data are an important source for paleo-climatological studies, but bringing them into a suitable format can be a time consuming adventure with uncertain success.
Hand-written or printed manuscript data are an important source for paleo-climatological studies, but bringing them into a suitable format can be a time consuming adventure with uncertain success. Bef...
Global modelling of continental water storage changes – sensitivity to different climate data sets
Global modelling continental water storage changes different climate data sets
2010/1/27
Since 2002, the GRACE satellite mission provides estimates of the Earth's dynamic gravity field with unprecedented accuracy. Differences between monthly gravity fields contain a clear hydrological sig...