NERC Data Catalogue Service
weather@home 2010 global simulations and climatology (1986-2016)
This dataset contains atmospheric data, such as wind field and surface air temperature, obtained by running the weather@home general circulation model for the year 2010. The aim of this dataset is to study the 2010 weather extremes which have affected Western Russian and Pakistan. The dataset contains data for both the regional and global GCM models provided as NetCDF v3 files. The gridded global model output is at 1.25°x1.875° (N96) horizontal resolution. The regional model output is provided on a rotated longitude-latitude grid at a 50 km (0.44°x0.44°) horizontal resolution centred over South Asia. In order to compare 2010 data to the climatology of the model, the climatology is calculated for the years 1986 to 2016. This dataset has been produced by the University of Oxford, in cooperation the Potsdam Institute for Climate Impact Research and the VU University of Amsterdam in the context of the GOTHAM project, funded by the Belmont Forum through the Natural Environment Research Council (NE/P006779/1). The weather@home model runs on the climateprecictions.net platform, which provides a volunteer distributed computational system.
This dataset contains weather@home global and regional simulations for the year 2010 and for the climatology of both models for the period 1986-2016.
The data comprises of:
~700 ensemble members for weather@home (global model) for 2010 (batch 778)
~700 ensemble members for weather@home (regional model, South Asia) for 2010 (nested on batch 778)
~170 ensemble members per year for the period (1987-2016) for weather@home (global model) (batch 845)
~100 ensemble members per year for the period (1986-2015) for weather@home (regional model, South Asia) (batch 697, not nested on batch 845)
extracted variables:
At daily resolution: geopotential height 300 hPa (item16202), meridional wind velocity at 300 hPa (item15202), surface air temperature at 1.5m (item 3236), precipitation (item5216)
At monthly resolution: soil moisture (item8208)
Default
Identification info
- Metadata Language
- English (en)
- Dataset Reference Date ()
- 2021-09-08T07:55:42
- Dataset Reference Date ()
- 2021-09-08T07:55:42
- Identifier
- NERC EDS Centre for Environmental Data Analysis / dae723e78f9f4a0b9712f352f0a0231d
- Identifier
- doi / 10.5285/dae723e78f9f4a0b9712f352f0a0231d
- Maintenance and update frequency
- notPlanned
- Update scope
- dataset
- Keywords
-
- weather@home
- climatology
- GEMET - INSPIRE themes, version 1.0 ()
-
- atmospheric conditions
- Limitations on Public Access
- otherRestrictions
- Other constraints
- Public data: access to these data is available to both registered and non-registered users.
- Use constraints
- otherRestrictions
- Spatial representation type
- grid
- Topic category
-
- Climatology, meteorology, atmosphere
))
- Begin date
- 1986-01-01T00:00:00
- End date
- 2016-12-31T00:00:00
- Code
- WGS 84
Distribution Information
- Data format
-
-
Data are netCDF formatted
()
-
Data are netCDF formatted
()
- Resource Locator
-
CEDA Data Catalogue Page
Detail and access information for the resource
- Resource Locator
-
DOWNLOAD
Download Data
- Resource Locator
-
weather@home 2: validation of an improved global–regional climate modelling system
No further details.
- Resource Locator
-
weather@home – development and validation of a very large ensemble modelling system for probabilistic event attribution
No further details.
- Resource Locator
-
CEDA Data Catalogue Page
Detail and access information for the resource
- Resource Locator
-
DOWNLOAD
Download Data
- Resource Locator
-
weather@home 2: validation of an improved global–regional climate modelling system
No further details.
- Resource Locator
-
weather@home – development and validation of a very large ensemble modelling system for probabilistic event attribution
No further details.
- Quality Scope
- dataset
Report
- Dataset Reference Date ()
- 2010-12-08
- Statement
- GOTHAM Project weather@home platform (ClimatePrediction.Net). Data archived at Centre for Environmental Data Analysis (CEDA) for archiving.
Metadata
- File identifier
- dae723e78f9f4a0b9712f352f0a0231d XML
- Metadata Language
- English (en)
- Character set
- 8-bit variable size UCS Transfer Format, based on ISO/IEC 10646
- Resource type
- dataset
- Metadata Date
- 2023-05-12T00:43:16
- Metadata standard name
- UK GEMINI
- Metadata standard version
- 2.3
