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Russian Arctic COSMO-CLM hindcast over 1980-2019 period

Version 36 2024-02-18, 09:03
Version 35 2024-02-12, 19:14
Version 34 2024-02-11, 22:19
Version 33 2024-02-09, 18:57
Version 32 2024-02-07, 20:20
Version 31 2024-02-07, 19:51
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Version 29 2024-01-30, 15:22
Version 28 2024-01-30, 09:35
Version 27 2024-01-28, 19:55
Version 26 2024-01-28, 17:48
Version 25 2024-01-25, 18:47
Version 24 2022-12-17, 13:18
Version 23 2022-12-16, 20:28
Version 22 2022-12-16, 19:24
Version 21 2022-12-15, 21:31
Version 20 2022-12-14, 21:02
Version 19 2022-05-05, 11:58
Version 18 2021-10-18, 18:29
Version 17 2021-10-16, 20:25
Posted on 2024-02-18 - 09:03 authored by Vladimir Platonov

COSMO-CLM Russian Arctic hindcast over 1980 - 2019 years.


All data are presented in directories containing 1 year data. Almost each directory contains 12-13 surface meteorlogical variables (at the moment) with 3 hours time step. These variables include 2 m temperature (T_2M.nc, K), 10 m zonal and meridional components of wind speed (U_10M.nc, V_10M.nc, m/s), total precipitation (kg/m2), 10 m wind speed maxima (VABSMX_10M.nc, m/s), sea level pressure (PMSL.nc, Pa), surface sensible heat flux (SHFL_S.nc, W/m2), surface latent heat flux (LHFL_S.nc, W/m2), surface net downward shortwave radiation (SOBS_RAD.nc, W/m2), direct downward shortwave radiation at the surface (SWDIRS_RAD.nc, W/m2), diffuse downward shortwave radiation at the surface (SWDIFDS_RAD.nc, W/m2), downward longwave radiation at the surface (THDS_RAD, W/m2), precipitable water (TQV, kg/m2), surface thickness of snow (H_SNOW, m). The number of variables will be increased in the near future. Year 2019 contains data for a period from January to July only due to the ERA Interim driving conditions data available.


Besides the meteorological variables, each '$YEAR' directory contains 2 additional utulity files. There is latlon.nc file containing latitude and longitude grid data according to all model fields.

And there is time${YEAR}.nc file (where ${YEAR} is the corresponding year) containing the correct time variable in format seconds from 01.January.$YEAR.

The latter issue came from the specific experiments configuration, which included the monthly reinitialization runs. Therefore, in the whole year the time variable in the meteorological data files was written incorrectly, setting with start of each month to zero. The time${YEAR}.nc contains the correct time variable values ready to evaluations.


IMPORTANT NOTE 1! 10 m zonal and meridional wind speed components data (U_10M.nc and V_10M.nc) are given with respect to the model grid coordinate system. Therefore, to get wind speed components and wind direction with respect to geographical coordinates (i.e., latitude and longitude), an additional transformation is necessary. More detailed information about required calculations are given in the COSMO Model Dynamics and Numerics Description, available at: http://www.cosmo-model.org/content/model/documentation/core/cosmo_dynamics_5.05.pdf. It is important to note that this transformation concerns wind direction only, and does not affect wind speed values, therefore the U_10M and V_10M variables could be used for wind speed calculations and analysis without any transformations.


IMPORTANT NOTE 2! Since the data are given with 3 hours timestep, there is an issue concerning the TOT_PREC variable. The TOT_PREC output variable contatins 1-hour sums of precipitation, therefore, the presented TOT_PREC.nc files contains 1-hour sums of precipitation for each 3 hours, instead of 3-hours precipitaion sums. The similar issue applies to the H_SNOW variable in the H_SNOW.nc files: there are 1-hour values of snow thickness, but they are referred to correct times. Thus, H_SNOW data are applicable to estimation current snow thickness each 3 hours, but are not applicable to calculations of snow accumulation for any time period. These issues will be fixed in the next hindcast version by extending the timestep up to 1 hour instead the current 3 hours. Sorry for inconveniences.


This hindcast was created using the equipment of the shared research facilities of HPC computing resources at Lomonosov Moscow State University [https://doi.org/10.14529/JSFI190201].


You can learn more detailed information about experiments configuration and other hindcast issues in:

http://dx.doi.org/10.1088/1755-1315/611/1/012044

http://dx.doi.org/10.3390/atmos12030350

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FUNDING

Creation of a detailed long-term archive of hydrometeorological information (regional reanalysis) for the seas of the Russian Arctic based on supercomputer hydrodynamic modeling

Russian Foundation for Basic Research

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