遇见数据集

MAR-MPI-ESM1-2-HR SSP585 European Alps (2015-2100)

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Zenodo2024-02-15 更新2026-05-25 收录
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This deposit contains MAR simulations over the European Alps domain (7 kilometers resolution) forced by the MPI-ESM1-2-HR GCM (CMIP6 version) for the SSP585 projection (2015 to 2100). The version of the MAR model used is v.3.10, model set-up is described in detail in Beaumet et al., 2021 (https://doi.org/10.1007/s10113-021-01830-x) Contact person : Julien Beaumet (beaumetjulien@gmail.com), Martin Menegoz (martin.menegoz@univ-grenoble-alpes.fr)<br> The realization used is r1i1p1f1.<br> Data are available at the daily frequency, with one variable per file (10 years of data per file).<br> The available variables in this deposit are : <strong>CC:</strong> Cloud cover, [0-1]<br> <strong>MB:</strong> Total snow water equivalent, [mm.We]<br> <strong>MBrr:</strong> Daily rainfall, [mm.We] (5)<br> <strong>MBsf:</strong> Daily snowfall, [mm.We] (5)<br> <strong>QQz: </strong> Near-surface specific humidity at constant height, [g/kg] (2) <strong>TTmax:</strong> Near-surface maximum air temperature for the first model level above the surface (constant sigma), [C]<br> <strong>TTmin:</strong> Near-surface minimum air temperature for the first model level above the surface (constant sigma),[C] <strong>TTz: </strong>Near-surface mean air temperature at constant-height, [C]<br> <strong>UUz:</strong> Near-surface zonal component of wind speed at constant height, [m/s]<br> <strong>VVz:</strong> Near surface Meridional component of wind speed at constant height, [m/s]<br> <strong>ZN3:</strong> Total snow height, [m] Other variables are available upon request (see email above).<br> AL : Surface albedo, [0-1]<br> CD: Low level Cloud cover, [0-1]<br> CM: Middle level Cloud cover, [0-1]<br> CU: High level Cloud cover, [0-1]<br> SP: Surface pressure, [hPa]<br> ST: Surface temperature, [C]<br> TT: Near-surface mean air temperature for the first three model level above the surface (constant sigma), [C] (1)<br> TTp: Constant pressure-level mean air temperature, [C] (4)<br> ZZ: Surface geopotential for the first three model level above the surface (constant sigma), [m] LWD: Surface downward longwave radiation, [W/m2]<br> LWU: Surface upward longwave radiation, [W/m2] SWD: Surface downward shortwave radiation, [W/m2]<br> SWU: Surface upward shortwave radiation, [W/m2] SHF: Surface sensible heat flux, [W/m2] LHF: Surface latent heat flux, [W/m2] * Latitude(LAT),longitude(LON)and surface elevation (SH) of each grid point can be read in MARgrid_EUy.nc file (1) For variable TT, ZZ model constant sigma level of 0.9997479<br> (2) For variables TTz, QQz constant height level is : 2m<br> (3) For variables UUz, VVz constant height level are : 10m<br> (4) Variables TTp, UUp, VVp available at pressure level : 925, 850, 800, 700, 600, 500, 200 hPa<br> (5) Snow height and snow water equivalent are available for three sectors which corresponds to three different vegetation type : The three vegetation type used can be readen in the file MARgrid_EUy.nc, with the variable VEG and their respectibe fraction for each grid point is given by the variable FRV. The third vegetation type (sector=3) mostly corresponds to bare soil or low crops by default, but sometimes its fraction=0, which gives unrealistic low values of snow height. In this case, using the max. value on the axis sector often gives the best results.<br> Legend of the vegetation type for the VEG variables : 0:NO_VEGETATION 1:CROPS_LOW 2:CROPS_MEDIUM 3:CROPS_HIGH 4:GRASS_LOW 5:GRASS_MEDIUM 6:GRASS_HIGH 7:BROADLEAF_LOW 8:BROADLEAF MEDIUM 9:BROADLEAF_HIGH 10:NEEDLELEAF_LOW 11:NEEDLELEAF MEDIUM 12:NEEDLELEAF_HIGH 13:City<br> ~

本数据集包含以MPI-ESM1-2-HR全球气候模式(GCM,CMIP6版本)驱动的、针对SSP585情景(2015年至2100年)的欧洲阿尔卑斯区域MAR数值模拟结果,空间分辨率为7公里。 本次使用的MAR模型版本为v.3.10,模型设置细节详见Beaumet等人2021年的研究(https://doi.org/10.1007/s10113-021-01830-x)。 联系人:Julien Beaumet(邮箱:beaumetjulien@gmail.com)、Martin Menegoz(邮箱:martin.menegoz@univ-grenoble-alpes.fr) 所用集合成员为r1i1p1f1。 数据以日分辨率产出,每个文件仅包含单个变量(每个文件包含10年的数据集)。 本存档可用的变量如下:<strong>CC:</strong> 云量,取值范围[0-1] <strong>MB:</strong> 总雪水当量,单位为mm.We(毫米水当量) <strong>MBrr:</strong> 日降雨量,单位为mm.We(毫米水当量),注(5) <strong>MBsf:</strong> 日降雪量,单位为mm.We(毫米水当量),注(5) <strong>QQz:</strong> 固定高度近地表比湿,单位为g/kg,注(2) <strong>TTmax:</strong> 地表上方第一层恒定σ坐标模式层的近地表最高气温,单位为℃ <strong>TTmin:</strong> 地表上方第一层恒定σ坐标模式层的近地表最低气温,单位为℃ <strong>TTz:</strong> 固定高度近地表平均气温,单位为℃ <strong>UUz:</strong> 固定高度近地表风速纬向分量,单位为m/s <strong>VVz:</strong> 固定高度近地表风速经向分量,单位为m/s <strong>ZN3:</strong> 总雪深,单位为m 其他变量可按需申请(详见上述联系邮箱)。 AL:地表反照率,取值范围[0-1] CD:低云量,取值范围[0-1] CM:中云量,取值范围[0-1] CU:高云量,取值范围[0-1] SP:地表气压,单位为hPa(百帕) ST:地表温度,单位为℃ TT:地表上方前三层恒定σ坐标模式层的近地表平均气温,单位为℃,注(1) TTp:等压面平均气温,单位为℃,注(4) ZZ:地表上方前三层恒定σ坐标模式层的地表位势高度,单位为m LWD:地表向下长波辐射,单位为W/m² LWU:地表向上长波辐射,单位为W/m² SWD:地表向下短波辐射,单位为W/m² SWU:地表向上短波辐射,单位为W/m² SHF:地表感热通量,单位为W/m² LHF:地表潜热通量,单位为W/m² * 各网格点的纬度(LAT)、经度(LON)及地表海拔(SH)可从MARgrid_EUy.nc文件中读取。 (1) 对于变量TT、ZZ,所用恒定σ坐标层为0.9997479 (2) 对于变量TTz、QQz,所用固定高度层为2米 (3) 对于变量UUz、VVz,所用固定高度层为10米 (4) 变量TTp、UUp、VVp的对应等压面为925、850、800、700、600、500、200 hPa (5) 雪深与雪水当量分为三个分区,对应三种不同的植被类型:三种植被类型可从MARgrid_EUy.nc文件中的VEG变量读取,各网格点的植被占比由FRV变量给出。默认情况下,第三种植被类型(分区=3)主要对应裸土或低矮作物,但当其占比为0时,会出现不切实际的低雪深数值。此时,使用分区轴上的最大值通常可获得最佳结果。 VEG变量的植被类型编码说明: 0:无植被(NO_VEGETATION) 1:低矮作物(CROPS_LOW) 2:中等作物(CROPS_MEDIUM) 3:高大作物(CROPS_HIGH) 4:低矮草本(GRASS_LOW) 5:中等草本(GRASS_MEDIUM) 6:高大草本(GRASS_HIGH) 7:阔叶低矮植被(BROADLEAF_LOW) 8:阔叶中等植被(BROADLEAF MEDIUM) 9:阔叶高大植被(BROADLEAF_HIGH) 10:针叶低矮植被(NEEDLELEAF_LOW) 11:针叶中等植被(NEEDLELEAF MEDIUM) 12:针叶高大植被(NEEDLELEAF_HIGH) 13:城市用地(City)

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2022-01-25
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