ERA15SFCFC00LL256H_DSNOW

Gibson, Rex

Dataset
Summary
Operational analysis are affected by major changes in models, analysis technique, asimilation and observation usage, which are an essential product of research and progress.
The ECMWF (European Centre for Medium-Range Weather Forecasts) performed a consistent re-analysis of atmospheric data using a "frozen" production system. The ECMWF Re-Analysis (ERA) Project produced a new, validated 15 year dataset of assimilated data for the period 12/1978-02/1994.
The assimilation scheme consisted mainly of the Integrated Forecast System (IFS) version of the ECMWF forecast model with T106 resolution on 31 vertical hybrid levels. An intermitted statistical (optimum interpolation) analysis with 6 hour cycling was performed. It includes a diabatic, non-linear normal mode initialisation (5 vertical modes).
This data set consists of an initialized surface field which is stored in 6h-intervals (0,6,12,18) on LatLon 2.5 Degree Grid.
Project
ERA15 (ECMWF Re-Analysis Project 15)
Location(s)
World (general)
Spatial Coverage
Longitude 0 to 357.5 Latitude -90 to 90 Altitude: 0 m
Temporal Coverage
1978-12-01 to 1994-05-20 (equidistant grid model time)
Use constraints
Creative Commons Attribution 4.0 International (CC BY 4.0) (https://creativecommons.org/licenses/by/4.0/)
Data Catalog
World Data Center for Climate
Access constraints
registered users
Size
448.93 MiB (470736432 Byte)
Format
GRIB
Status
completely archived
Creation Date
Download Permission
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Cite as
[ Derived from parent entry - See data hierarchy tab ]
Gibson, Rex (2001). ERA15 initialized surface fields (6h interval storage, 2.5Degree LatLon). World Data Center for Climate (WDCC) at DKRZ. http://cera-www.dkrz.de/WDCC/ui/Compact.jsp?acronym=ERA15_SFCFC00_LL25_INT6H

BibTeX RIS
Description
data was checked.
VariableCodeAggregationUnit
lwe_thickness_of_surface_snow_amountCF
DSNOW (ERA15: 141)
6hr meanm
Contact typePersonORCIDOrganization
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Parent

ERA15 initialized surface fields (6h interval storage, 2.5Degree LatLon).
Details
[Entry acronym: ERA15SFCFC00LL256H_DSNOW] [Entry id: 12429]