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与NEX-DCP30兼容的美国本土RCP 4.5和RCP 8.5情景下未来月尺度降尺度水汽压预测数据集。

Dataset of monthly downscaled future vapor pressure projections for the conterminous USA for RCP 4.5 and RCP 8.5 compatible with NEX-DCP30.

作者信息

Drapek Raymond J, Thrasher Bridget L, Kim John B

机构信息

USDA Forest Service Western Wildland Environmental Threat Assessment Center, 3200 SW Jefferson Way, Corvallis, OR 97331, USA.

Climate Analytics Group, Boulder, CO, 80305, USA.

出版信息

Data Brief. 2023 Apr 20;48:109169. doi: 10.1016/j.dib.2023.109169. eCollection 2023 Jun.

Abstract

Models that simulate ecosystems at local to regional scales require relatively fine resolution climate data. Many methods exist that downscale the native resolution output from global climate models (GCM) to finer resolutions. NASA NEX-DCP30 is a statistically downscaled 30 arcsecond resolution climate dataset widely used for climate change impact studies in the conterminous USA (CONUS), but it did not include vapor pressure data which is essential for many types of models. We downscaled vapor pressure data from 28 global climate models included in the Coupled Model Intercomparison Project Phase 5 (CMIP5) to 30 arcsecond resolution for CONUS to augment the NEX-DCP30 dataset. Monthly vapor pressure values were calculated from raw GCM output for the conterminous USA from 1950 to 2100, representing RCP4.5 and RCP8.5 climate change scenarios. Vapor pressure data were then downscaled from the GCM's native spatial resolutions to 30 arcsecond using the Bias Correction-Spatial Disaggregation (BCSD) statistical downscaling method, which had been used to create the original NEX-DCP30 dataset. PRISM LT71m gridded climate data for 1970-1999 served as the reference data. The newly created downscaled vapor pressure dataset may be used in conjunction with the existing NEX-DCP30 data as input for vegetation, fire, drought, or earth system models. The data is available at the Forest Service Research Data Archive.

摘要

在局部到区域尺度模拟生态系统的模型需要分辨率相对较高的气候数据。有许多方法可将全球气候模型(GCM)的原始分辨率输出降尺度到更高分辨率。美国国家航空航天局的NEX-DCP30是一个经统计降尺度处理的30弧秒分辨率气候数据集,在美国本土(CONUS)广泛用于气候变化影响研究,但它不包括对许多类型模型至关重要的水汽压数据。我们将耦合模式比较计划第5阶段(CMIP5)中包含的28个全球气候模型的水汽压数据降尺度到美国本土30弧秒分辨率,以扩充NEX-DCP30数据集。根据1950年至2100年美国本土的全球气候模型原始输出计算月水汽压值,代表RCP4.5和RCP8.5气候变化情景。然后使用偏差校正-空间分解(BCSD)统计降尺度方法将水汽压数据从全球气候模型的原始空间分辨率降尺度到30弧秒,该方法曾用于创建原始的NEX-DCP30数据集。1970 - 1999年的PRISM LT71m网格化气候数据用作参考数据。新创建的降尺度水汽压数据集可与现有的NEX-DCP30数据结合使用,作为植被、火灾、干旱或地球系统模型的输入。该数据可在森林服务研究数据存档处获取。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf21/10165200/79ea27df82b8/gr1.jpg

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