Model climate scenario output for the Blackstone, Pawcatuck, and Ipswich river basins, Massachusetts, 2036-2065 change from 1975-2004, Representative Concentration Pathways 4.5 and 8.5
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This data release provides a set of Hydrological Simulation Program--Fortran (HSPF) model files representing 5 EPA-selected future climate change scenarios for each of three river basins: Blackstone in Massachusetts and Rhode Island, Pawcatuck in Rhode Island, and Ispwich in Massachusetts. Output from these models are intended for use as input to EPA Watershed Management Optimization Support Tool (WMOST) modeling. Climate scenarios, based on 2036-2065 change from 1975-2004 Representative Concentration Pathways (RCP) 4.5 and 8.5, model effects of air temperature and precipitation changes (in degrees F for air temperature, in percent for precipitation) made to the input historical meteorological time series 1975-2004. Blackstone meteorological data are from T.F. Green Airport (Providence) and Worcester Regional Airport (Worcester), Pawcatuck meteorological data are from T.F. Green Airport (Providence), and Ipswich meteorological data are from 30 local National Weather Service Stations (1975-1995) and Boston Logan Airport (1996-2004). Each set of climate scenario model files are derived from the original calibrated model files developed to support WMOST modeling (refer to Source Input fields in this metadata file).
本数据集发布提供了一套水文模拟程序-Fortran(Hydrological Simulation Program--Fortran, HSPF)模型文件,涵盖马萨诸塞州与罗德岛州布莱克斯通河、罗德岛州波卡特克河以及马萨诸塞州伊普斯威奇河共3个流域的5套由美国环境保护署(Environmental Protection Agency, EPA)选定的未来气候变化情景。上述模型的输出将用作EPA流域管理优化支持工具(Watershed Management Optimization Support Tool, WMOST)建模的输入数据。本次所用气候情景以1975-2004年为基准期,基于2036-2065年的典型浓度路径(Representative Concentration Pathways, RCP)4.5与8.5,通过对1975-2004年的历史气象时间序列输入数据调整气温(单位:华氏度)与降水变化幅度(单位:百分比),模拟气候变化的影响。其中,布莱克斯通河流域的气象数据源自普罗维登斯T.F.格林机场与伍斯特地区机场;波卡特克河流域的气象数据源自普罗维登斯T.F.格林机场;伊普斯威奇河流域的气象数据则来自30个当地国家气象局站点(1975-1995年)以及波士顿洛根机场(1996-2004年)。每套气候情景模型文件均衍生自为支撑WMOST建模而开发的原始率定模型文件,详见本元数据文件中的“源输入”字段。
创建时间:
2017-04-13



