For the latest version of this description please visit https://www.tu.berlin/en/klima/research/regional-climatology/high-asia The High Asia Refined analysis version 2 (HAR v2) The High Asia Refined analysis version 2 (HAR v2) is an atmospheric dataset generated within the framework of the CaTeNA project (Climatic and Tectonic Natural Hazards in Central Asia) funded by the Federal Ministry of Education and Research (BMBF). Compared to the old version (HAR), HAR v2 has an extended 10 km domain covering the whole Tibetan Plateau and the surrounding mountains (Fig.1), as well as a longer temporal coverage. It will be extended back to 1979 and will be continuously updated in the future. Important message (2023/01/25): The directory path for the HAR Versions on the file server was renamed (from V1/V2 to v1/v2). The URL to all files has been changed accordingly. The space in front of the version number has been removed for all file names (from HAR v2 to HARv2). Due to a mistake in the WRF model, the units of potevap (potential evaporation) in our products were wrong and have been corrected. If the unit of potevap in your nc file is W m-2 (for files downloaded before 2021/03/19), the correct unit should be m per time step (e.g., m h-1 for the hourly product, m d-1 for the daily product, etc.), instead of W m-2. The WRF model sometimes outputs negative values of mixing ratio ( WRF Support Forum ). If you are using mixing ratio variables (q2, qvapor, qsolid, and qliquid), we suggest modifying the negative values to very small positive values. We apologize for any inconvenience caused. Description The HAR v2 dataset is generated by dynamical downscaling using the Weather Research and Forecasting model (WRF) version 4.1. ERA5 reanalysis data provided by ECMWF is used as forcing data. In addition, snow depth from the Japanese 55-year Reanalysis is applied to correct snow depth initialized from ERA5, since ERA5 largely overestimates snow depth over the Tibetan Plateau ( Orsolini et al., 2019 ). The domain setup (Fig.1) consists of two-way nested domains with 30 km and 10 km grid spacing. Note that, HAR v2 only provides results from the 10 km domain. The forcing strategy is daily re-initialization adopted from the HAR ( Maussion et al., 2011 , 2014 ). Each run starts at 12:00 UTC and contains 36 h, with the first 12 h as spin-up time. This strategy avoids the model from deviating too far from the forcing data and provides computational flexibility since daily runs are totally independent of each other and can be computed in parallel and in any sequence. Same as HAR, the output of the model is post-processed into product-files: one single file per variable and per year at various aggregation levels. Time Span 1980-2021 Spatial Resolution 30km, 10km Temporal Resolution hourly (h), daily (d), monthly (m), yearly (y) Data Format compressed NetCDF 4 Pressure Levels (hPa) 1000, 975, 925, 900, 850, 800, 700, 650, 600, 550, 500, 450, 400, 350, 300, 250, 200, 150, 100, 75 Publications: Wang, X., Tolksdorf, V. Otto, M., Scherer, D. (2021): WRF-based Dynamical Downscaling of ERA5 Reanalysis Data for High Mountain Asia: Towards a New Version of the High Asia Refined Analysis. Int. J. Climatol. DOI: 10.1002/joc.6686 List of Variables Variable Name Variable Description Type Unit albedo Albedo 2d - canwat Canopy water 2d kg m-2 emiss Surface emissivity 2d - et Evapotranspiration 2d mm h-1 graupel Grid scale graupel 2d mm h-1 grdflx Ground Heat Flux 2d W m-2 hail Grid scale hail (stepwise) 2d mm h-1 hfx Upward Heat Flux at the Surface 2d W m-2 lh Latent Heat Flux at the Surface 2d W m-2 lwdown Downward Long Wave Flux at Ground Surface 2d W m-2 lwup Upward Long Wave Flux at Ground Surface 2d W m-2 netrad Net Radiation at Ground Surface 2d W m-2 pblh PBL Height 2d m potevap Potential Evaporation 2d W m-2 prcp Total Precipitation 2d mm h-1 prcp_c Cumulus precipitation (stepwise) 2d mm h-1 prcp_fr Frozen Precipitation 2d mm h-1 prcp_nc Grid scale precipitation (stepwise) 2d mm h-1 psfc SFC Pressure 2d Pa q2 Water Vapor Mixing Ratio at 2 m 2d kg kg-1 qfx Upward moisture flux at the surface 2d km m-2 s-1 scld total column clouds 2d - scldfra Surface cloud fraction computed in a 50km radius FOV 2d - sfroff Surface runoff 2d mm slp Sea Level Pressure 2d hPa snow Snow water equivalent 2d kg m-2 snowfall Grid Scale Snow and Ice 2d mm h-1 snowh Physical snow depth 2d m sst Sea Surface Temperature 2d K swdown Downward Short Wave Flux at Ground Surface 2d W m-2 swup Upward Short Wave Flux at Ground Surface 2d W m-2 t2 Temperature at 2 m 2d K tsk Surface Skin Temperature 2d K u10 u at 10m 2d m s-1 udroff Underground runoff 2d mm ust u* in similarity theory 2d m s-1 v10 v at 10m 2d m s-1 ws10 10 m Wind Speed 2d m s-1 2d Variables (HAR v2 only) col_qliquid Total column liquid water mixing ratio 2d kg kg-1 col_qsolid Total column solid water mixing ratio 2d kg kg-1 col_qvapor Total column vapor water mixing ratio 2d kg kg-1 u_intliquidflux Column Integrated Zonal Liquid Water Flux 2d kg m-1 s-1 u_intsolidflux Column Integrated Zonal Solid Water Flux 2d kg m-1 s-1 u_intvaporflux Column Integrated Zonal Water Vapor Flux 2d kg m-1 s-1 v_intliquidflux Column Integrated Meridional Liquid Water Flux 2d kg m-1 s-1 v_intsolidflux Column Integrated Meridional Solid Water Flux 2d kg m-1 s-1 v_intvaporflux Column Integrated Meridional Water Vapor Flux 2d kg m-1 s-1 w_intliquidflux Column Integrated Vertical Liquid Water Flux 2d kg m-1 s-1 w_intsolidflux Column Integrated Vertical Solid Water Flux 2d kg m-1 s-1 w_intvaporflux Column Integrated Vertical Water Vapor Flux 2d kg m-1 s-1 intliquidflux Column Integrated Absolute Liquid Water Flux 2d kg m-1 s-1 intsolidflux Column Integrated Absolute Solid Water Flux 2d kg m-1 s-1 intvaporflux Column Integrated Absolute Water Vapor Flux 2d kg m-1 s-1 t2eta 2 m temperature (extrapolated from the first two eta-levels) 2d K t2pbl 2 m temperature (linear fit from pbl eta-levels) 2d K 3d Variables geopotential Full Model Geopotential on Mass Points 3d_press m2 s-2 qliquid Liquid Water Mixing Ratio 3d_press kg kg-1 qsolid Solid Water Mixing Ratio 3d_press kg kg-1 qvapor Water Vapor Mixing Ratio 3d_press kg kg-1 theta Potential Temperature (theta) 3d_press K u x-wind component 3d_press m s-1 u_liquidflux Zonal liquid water flux 3d_press kg kg-1 u_solidflux Zonal solid water flux 3d_press kg kg-1 u_vaporflux Zonal water vapor flux 3d_press kg kg-1 v y-wind component 3d_press m s-1 v_liquidflux Meridional liquid water flux 3d_press kg m-2 s-1 v_solidflux Meridional solid water flux 3d_press kg m-2 s-1 v_vaporflux Meridional water vapor flux 3d_press kg m-2 s-1 w z-wind component 3d_press m s-1 w_liquidflux Vertical liquid water flux 3d_press kg m-2 s-1 w_solidflux Vertical solid water flux 3d_press kg m-2 s-1 w_vaporflux Vertical water vapor flux 3d_press kg m-2 s-1 ws Horizontal wind speed on mass grid points 3d_press m s-1 cldfra Cloud fraction 3d_press - pressure Full model pressure 3d_press hpa 3d Soil variables smois Soil moisture 3d_soil m3 m-3 sh2o Soil liquid water 3d_soil m3 m-3 smcrel Relative soil moisture 3d_soil - tslb Soil temperature 3d_soil K Static Variables hgt Terrain Height static m lu_index Land Use Category static - cosalpha Local cosine of map rotation static - sinalpha Local sine of map rotation static - lai Leaf area index static area/area e Coriolis cosine latitude term static s-1 f Coriolis sine latitude term static s-1 isltyp Dominant soil category static - ivgtyp Dominant vegetation category static - vegfra Vegetation fraction static - landmask Land mask (1 for land, 0 for water) static - mapfac_m Map scale factor on mass grid static - mapfac_mx Map scale factor on mass grid, x direction static - mapfac_my Map scale factor on mass grid, y direction static - Please refer to Wang et al. (2021) when using the HAR v2 data. We are looking forward to new collaborations towards a better understanding of atmosphere-related processes in High and Central Asia.