Gridded simulations of available precipitation (rainfall + snowmelt) for Great Britain, developed from observed data (1961-2018) and climate projections (1980-2080)
收藏www.data.gov.uk2024-07-06 更新2025-03-26 收录
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https://www.data.gov.uk/dataset/eceb2c78-f87d-4c4c-a176-b1c5f0398a94/gridded-simulations-of-available-precipitation-rainfall-snowmelt-for-great-britain-developed-from-observed-data-1961-2018-and-climate-projections-1980-2080
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资源简介:
This dataset presents nationally consistent simulations of available precipitation (rainfall + snowmelt) for Great Britain. These include simulations driven by observational data covering January 1961 – December 2018 and simulations driven by Regional Climate Model (RCM) projections covering December 1980 - November 2080. Both are provided as gridded data at 1km resolution. The observed input data was HadUK-Grid 1km daily precipitation and temperature. The RCM input data was a 12-member perturbed parameter ensemble from the UK Climate Projections 2018 (UKCP18), provided at a ‘Regional’ 12km resolution aligned with the GB national grid. A simple snowmelt module was used to transform these time-series of precipitation and temperature into available precipitation. This data was developed for, and used within, the Enhanced Future Flows and Groundwater (eFLaG) project (Hannaford et al., 2022). The eFLaG project was established through a partnership project funded by the Met Office led component of the Strategic Priorities Fund Climate Resilience Programme under contract P107493 (CR19_4 UK Climate Resilience). Full details about this dataset can be found at https://doi.org/10.5285/755e0369-f8db-4550-aabe-3f9c9fbcb93d
本数据集展示了针对大不列颠国家范围内的一致性模拟,包括可用的降水量(降雨量加融雪量)。这些模拟数据包括基于1961年1月至2018年12月观测数据的模拟,以及基于区域气候模型(RCM)预测的模拟,时间范围涵盖1980年12月至2080年11月。这两种模拟数据均以1公里分辨率的网格数据形式提供。观测输入数据为HadUK-Grid 1公里每日降水量和温度。RCM输入数据来自英国气候预测2018(UKCP18)的12成员扰动参数集合,提供与GB国家网格对齐的“区域”12公里分辨率。使用了一个简单的融雪模块,将这些降水量和温度的时间序列转换为可用的降水量。此数据集是为eFLaG项目(Hannaford等人,2022年)开发并使用的,eFLaG项目是通过由气象办公室领导的战略优先级基金气候韧性计划合同P107493(CR19_4 UK Climate Resilience)资助的合作伙伴项目而建立的。关于此数据集的详细信息可在https://doi.org/10.5285/755e0369-f8db-4550-aabe-3f9c9fbcb93d找到。
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www.data.gov.uk



