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Input data and methods applied to estimate the HWP emissions and removals for the RP are described in [55].
Two approaches, differing in terms of the complexity of their respective input data and methods, were applied under wet and dry conditions.
In addition, the input data and methods in these studies were not necessarily consistent with guidance on national-scale reporting of emissions from forest lands from the Intergovernmental Panel on Climate Change [20, 21].
Detailed information on the input data and methods can be found in the respective sources, which are all publicly accessible.
They assess the input data and methods used to generate current global estimates for these parameters, current gaps and new work in progress.
In addition, the input data and methods in these studies were not necessarily consistent with guidance on national-scale reporting of emissions from forest lands from the Intergovernmental Panel on Climate Change [ 20, 21].
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In Section 2, we give a description of the input data and the methods used in this paper.
For SVM to be used, the interface for loading the input data and the method for generating the predictive model should be modified or developed for the novel two-dimensionally formatted descriptor.
Table 1 Comparison of input data and post-processing methods of the two studies analysing water storage change in the Nelson River basin Wang et al.
Here we investigated the difference of future ET0 response to climate change based on three approaches, i.e., more physically based Penman Montieth equation with relatively uncertain downscaled data quality, more empirical temperature-based Hargreaves equation with more reliable downscaled input data, and statistical downscaling method with directly selecting ET0 as predictands.
We empirically contrast several different designs, including parallelized genetic algorithms, FCM-specific designs based on sampling of the input data, and existing Hebbian-based methods.
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