The MaRIUS-G2G datasets: Grid-to-Grid model estimates of flow and soil moisture for Great Britain using observed and climate model driving data
The MaRIUS-G2G datasets: Grid-to-Grid model estimates of flow and soil moisture for Great Britain using observed and climate model driving data
复制标题
MaRIUS-G2G 数据集：使用观测数据和气候模型驱动数据对英国流量和土壤湿度进行网格到网格模型估计
DOI：
10.1002/gdj3.55
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发表时间：
2018
影响因子：
3.2
通讯作者：
Bell V
中科院分区：
文献类型：
--
作者：
Bell V
MaRIUS - G2G数据集是为MaRIUS（管理干旱和水资源短缺的风险、影响和不确定性）项目制作的，使用了英国的网格对网格（G2G）国家尺度水文模型。有6个独立的数据集，每一个都有三种气象驱动数据组合（两个基于观测，一个来自气候模式集合），用于产生两种类型的输出（260个站点的自然河流流量的每日时间序列，以及非饱和带的自然流量和土壤湿度的每月1 × 1公里网格）。G2G所需的驱动数据为降雨和潜在蒸发（PE）。其中两个基于观测的驾驶数据集使用CEH‐GEAR （CEH‐Gridded Estimates of Areal rainfall）的降雨量和MORECS （Met Office rainfall and蒸发计算系统）的PE，覆盖了1960-2015年，而另外两个数据集使用CEH‐GEAR降雨量和PE，使用Oudin方法从5公里温度数据中获得，覆盖了1891-2015年。基于气候模式组合驱动数据（降雨和PE）的两个数据集涵盖三个时期：历史基线（1900-2006）、近期（2020-2049）和远未来（2070-2099）。还可以直接获得30年基准期（1975-2004）的数据，可以与近未来期和远未来期进行比较。每个集合中有100个成员，未来阶段使用RCP8.5排放情景。本文详细介绍了G2G模型和不同的气象驾驶数据集，以及输出数据集的可用性和格式。它还描述了数据集的一些最近和潜在的应用，这些数据集已经用于支持英国各地低流量和干旱特征的历史和未来分析，并就如何使用（或不使用）气候模型驱动的数据集提供了一些指导。开放实践这篇文章获得了一个开放数据徽章，因为它公开了复制报告结果所需的数字共享数据。数据可通过DOI 10.5285/5f3c1a02-d5c4-4faa-9353-e8b68ce2ace2获得。从开放科学中心了解更多关于开放实践徽章的信息：https://osf.io/tvyxz/wiki。
The MaRIUS‐G2G datasets were produced for the MaRIUS (Managing the Risks, Impacts and Uncertainties of drought and water Scarcity) project, using the Grid‐to‐Grid (G2G) national‐scale hydrological model for Great Britain. There are six separate datasets, with each of three combinations of meteorological driving data (two observation‐based and one from climate model ensembles) used to produce two types of outputs (daily time‐series of natural river flow for 260 sites, and monthly 1 × 1 km grids of natural flow and soil moisture in the unsaturated zone). The driving data required by G2G are rainfall and potential evaporation (PE). Two of the datasets from observation‐based driving data use rainfall from CEH‐GEAR (CEH‐Gridded Estimates of Areal Rainfall) with PE from MORECS (Met Office Rainfall and Evaporation Calculation System), and cover the period 1960–2015, while the other two use CEH‐GEAR rainfall with PE derived from 5 km temperature data using the Oudin method, and cover 1891–2015. The two datasets based on driving data (rainfall and PE) from the climate model ensembles cover three periods: Historical Baseline (1900–2006), Near‐Future (2020–2049), and Far‐Future (2070–2099). Data for a 30‐year Baseline period (1975–2004), against which the Near‐Future and Far‐Future periods should be compared, are also available directly. There are 100 members in each ensemble, and the future periods use the RCP8.5 emissions scenario. This paper provides details of the G2G model and the different sets of meteorological driving data, as well as the availability and formatting of the output datasets. It also describes some recent and potential applications of the datasets, which have already been used to support historical and future analyses of low flow and drought characteristics across Britain, and provides some guidance on how the climate model‐driven datasets should (and should not) be used.Open PracticesThis article has earned an Open Data badge for making publicly available the digitally‐shareable data necessary to reproduce the reported results. The data is available at DOI 10.5285/5f3c1a02-d5c4-4faa-9353-e8b68ce2ace2. Learn more about the Open Practices badges from the Center for Open Science: https://osf.io/tvyxz/wiki.