figshare
Browse

Russian Arctic COSMO-CLM hindcast over 1980-2016 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
Version 30 2024-02-07, 19:07
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 2020-12-30 - 11:24 authored by Vladimir Platonov
COSMO-CLM Russian Arctic hindcast over 1980 - 2016 years.

All data are presented in directories containing 1 year data. Each directory contains 6 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). The number of variables will be increased in the near future.

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 seconds from 01.January $YEAR format.
The latter issue came from the specific experiments configuration, which included the monthly reinitialization runs. Therefore, in the whole year the time variable in the meteorological data files was written incorrectly, setting with start of each month to zero. The time${YEAR}.nc contains the correct time variable values ready to evaluations.
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

CITE THIS COLLECTION

DataCite
3 Biotech
3D Printing in Medicine
3D Research
3D-Printed Materials and Systems
4OR
AAPG Bulletin
AAPS Open
AAPS PharmSciTech
Abhandlungen aus dem Mathematischen Seminar der Universität Hamburg
ABI Technik (German)
Academic Medicine
Academic Pediatrics
Academic Psychiatry
Academic Questions
Academy of Management Discoveries
Academy of Management Journal
Academy of Management Learning and Education
Academy of Management Perspectives
Academy of Management Proceedings
Academy of Management Review
or
Select your citation style and then place your mouse over the citation text to select it.

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

SHARE

email
need help?