Hamburg urban winter climate data on 250 m resolution (Version 1.0)

This data contains results of the mesoscale transport and stream model METRAS (Schlünzen et al., 2018) for 43 winter situations described in detail in Boettcher et al. (in prep.). Combined they characterise the Hamburg urban winter climate based on statistical-dynamical downscaling (Boettcher et al., in prep.). They are used as reference climate for quantifying the impact of climate adaptation measures. The situation selection is based on analysed in-situ data for years 1981 to 2010 (Boettcher et al., in prep.). The data include wind speed, wind direction, wind components, real air temperature, relative humidity, total air pressure and total air density at lowest model level (about 10 m above ground). A non-uniform grid is used. The data cover an area of approximately 240 x 240 km² with a horizontal spatial solution of 6000 m at the lateral boundaries and down to 250 m resolution in the inner domain. Forcing data are ECMWF analysis data at lateral and upper model boundaries. Each situation covers 3 days of model time. Data have a resolution of 30 minutes.
 
Citation proposal
(2024) . Hamburg urban winter climate data on 250 m resolution (Version 1.0). https://gdk.gdi-de.org/geonetwork/srv/api/records/wdc-climate.de:5281169
 

INSPIRE

Identification

File identifier
wdc-climate.de:5281169   XML
Hierarchy level
collection collection
Online resource
Resource identifier
code
METRAS_1981-2010_winter_v1
code
doi:10.26050/WDCC/METRAS_1981-2010_winter_v1
Metadata language
eng; USA
Encoding
Format
NetCDF
Projection
 

Classification of data and services

 

Classification of data and services

Coupled resource
Coupled resource
 
 

Classification of data and services

Coupled resource
Coupled resource
 
 

Keywords

Other keywords
Keywords
  • ATMODAT
Keywords
  • EASYDAB
Keywords
  • Earth and related environmental sciences
Keywords
  • atmos
Keywords
  • atmosphere
Keywords
  • climate
Keywords
  • non-uniform grid
Keywords
  • one-way nesting
Keywords
  • statistical-dynamical downscaling
Keywords
  • urban climate
 
 

Geographic coverage

N
S
E
W


 

Temporal reference

Temporal extent
Temporal extent
Date ( Publication )
2024-09-27
 

Quality and validity

 

Conformity

Conformity
Conformity
 

Conformity

Conformity
Conformity
 

Restrictions on access and use

 

Restrictions on access and use

 

Responsible organization (s)

Contact for the resource
Organisation name
University of Hamburg
 

Responsible organization (s)

Contact for the resource
Organisation name
University of Hamburg
 

Metadata information

Contact for the metadata
Organisation name
University of Hamburg
Date stamp
2024-09-09T10:25:11
Metadata language
eng; USA
 
 

SDS

Conformance class 1: invocable

Access Point URL
Endpoint URL
Technical specification
 

Conformance class 2: interoperable

Coordinate reference system
 
Quality of Service
 
Access constraints
Limitation
 
Use constraints
Limitation
 
Responsible custodian
Contact for the resource
 
 

Conformance class 3: harmonized

 
 

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