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 (2020/10/09):

Due to a mistake in the WRF model, the units of potevap (potential evaporation) in our products are wrong. The units in potevap should be m per time step (e.g. m h-1 for the hourly product, m d-1 for the daily pr.oduct, etc.), instead of W m-2. We will replace all the product files of potevap and will generate new files with the correct unit as soon as possible. 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. The data is currently available from 2004 to 2018.




Click to enlarge!
Model domains
Fig. 1: WRF domain setup for HAR v2.

Time Span: 1979
- present
Spatial Resolution: 10 km
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

List of Variables



Variable Name Variable Description Type Unit
albedo Albedo 2d -
et Evapotranspiration 2d mm h-1
grdflx Ground Heat Flux 2d W m-2
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_fr Frozen Precipitation 2d mm h-1
psfc SFC Pressure 2d Pa
q2 Specific Humidity at 2m 2d kg kg-1
scld total column clouds 2d -
slp Sea Level Pressure 2d hPa
snowfall Grid Scale Snow and Ice 2d mm h-1
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
v10 v at 10m 2d m s-1
ws10 10 m Wind Speed 2d m s-1
u_intvaporflux Column Integrated Zonal Water Vapor Flux 2d kg m-1 s-1
v_intvaporflux Column Integrated Meridional Water Vapor Flux 2d kg m-1 s-1
w_intvaporflux Column Integrated Vertical Water Vapor Flux 2d kg m-1 s-1
u_intliquidflux Column Integrated Zonal Liquid Water Flux 2d kg m-1 s-1
v_intliquidflux Column Integrated Meridional Liquid Water Flux 2d kg m-1 s-1
w_intliquidflux Column Integrated Vertical Liquid Water Flux 2d kg m-1 s-1
u_intsolidflux Column Integrated Zonal Solid Water Flux 2d kg m-1 s-1
v_intsolidflux Column Integrated Meridional Solid Water Flux 2d kg m-1 s-1
w_intsolidflux Column Integrated Vertical Solid Water Flux 2d kg m-1 s-1
intvaporflux Column Integrated Absolute 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
3d Variables
geopotential Full Model Geopotential on Mass Points 3d_press m2 s-2
qliquid Liquid Water Mixing Ratio 3d_press kg kg-
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
v y-wind component 3d_press m s-1
w z-wind component 3d_press m s-1
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 -

Examples



Click to enlarge!
Mean Precipitation DJF 2004-2018
Fig. 2: Mean Precipitation DJF 2004-2018, 10 km Domain

Click to enlarge!
Mean Precipitation JJA 2004-2018
Fig. 3: Mean Precipitation JJA 2004-2018, 10 km Domain


Click to enlarge!
Mean Air Temperature at 2 m DJF 2004-2018
Fig. 4: Mean Air Temperature at 2 m DJF 2004-2018,
10 km Domain


Click to enlarge!
Mean Air Temperature at 2 m JJA 2004-2018
Fig. 5: Mean Air Temperature at 2 m JJA 2004-2018,
10 km Domain

Data Access


Please refer to Wang et al. (2020) when using the HAR v2 data.

Here you can find the temporary data download page


We are looking forward to new collaborations towards a better understanding of atmosphere-related processes in High and Central Asia. If you have any question please contact:
Xun Wang (HARv2 production),
Marco Otto (regional climatology)

Publications:

Wang, X., Tolksdorf, V. Otto, M., Scherer, D. (2020):
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 Link