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Downscaled and debiased climate simulations for North America from 21,000 years ago to 2100AD

机译:从21,000年前到2100AD的北美气候模拟的缩减规模和无偏差

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Increasingly, ecological modellers are integrating paleodata with future projections to understand climate-driven biodiversity dynamics from the past through the current century. Climate simulations from earth system models are necessary to this effort, but must be debiased and downscaled before they can be used by ecological models. Downscaling methods and observational baselines vary among researchers, which produces confounding biases among downscaled climate simulations. We present unified datasets of debiased and downscaled climate simulations for North America from 21?ka BP to 2100AD, at 0.5° spatial resolution. Temporal resolution is decadal averages of monthly data until 1950AD, average climates for 1950–2005 AD, and monthly data from 2010 to 2100AD, with decadal averages also provided. This downscaling includes two transient paleoclimatic simulations and 12 climate models for the IPCC AR5 (CMIP5) historical (1850–2005), RCP4.5, and RCP8.5 21st-century scenarios. Climate variables include primary variables and derived bioclimatic variables. These datasets provide a common set of climate simulations suitable for seamlessly modelling the effects of past and future climate change on species distributions and diversity.
机译:生态建模者越来越多地将古数据与未来的预测相结合,以了解过去到本世纪由气候驱动的生物多样性动态。为此,必须通过地球系统模型进行气候模拟,但是必须先消除偏差并缩小比例,然后才能将其用于生态模型。不同研究人员的降尺度方法和观测基线不同,这在降尺度的气候模拟中会产生混淆的偏差。我们以0.5°的空间分辨率,提供了从21?ka BP到2100AD的北美地区的去偏置和降尺度气候模拟的统一数据集。时间分辨率是1950年之前的月度数据的十年平均值,1950-2005年的平均气候以及2010年至2100AD的月度数据,还提供了十年平均值。降级包括针对IPCC AR5(CMIP5)历史(1850-2005年),RCP4.5和RCP8.5 21世纪情景的两个瞬态古气候模拟和12个气候模型。气候变量包括主要变量和衍生的生物气候变量。这些数据集提供了一套通用的气候模拟,适用于无缝地模拟过去和未来的气候变化对物种分布和多样性的影响。

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