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Dataset

 

weather@home 2010 global simulations and climatology (1986-2016)

Update Frequency: Not Planned
Latest Data Update: 2021-08-24
Status: Completed
Online Status: ONLINE
Publication State: Citable
Publication Date: 2021-09-08
DOI Publication Date: 2021-09-08
Download Stats: last 12 months
Dataset Size: 41.21K Files | 5TB

Abstract

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)

Citable as:  Sparrow, S.; Wallom, D.; Di Capua, G.; Rousi, E.; Kornhuber, K.; van der Hurk, B.; Coumou, D.; Osprey, S. (2021): weather@home 2010 global simulations and climatology (1986-2016). NERC EDS Centre for Environmental Data Analysis, 08 September 2021. doi:10.5285/dae723e78f9f4a0b9712f352f0a0231d. https://dx.doi.org/10.5285/dae723e78f9f4a0b9712f352f0a0231d
Abbreviation: Not defined
Keywords: weather@home, climatology

Details

Previous Info:
No news update for this record
Previously used record identifiers:
No related previous identifiers.
Access rules:
Public data: access to these data is available to both registered and non-registered users.
Use of these data is covered by the following licence: http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data lineage:

GOTHAM Project weather@home platform (ClimatePrediction.Net). Data archived at Centre for Environmental Data Analysis (CEDA) for archiving.

Data Quality:
Data are as given by the data provider, no quality control has been performed by the Centre for Environmental Data Analysis (CEDA)
File Format:
Data are netCDF formatted

Process overview

This dataset was generated by the computation detailed below.
Title

weather@home model running on climateprediction.net

Abstract

The weather@home model uses the Hadley Centre atmosphere only model version 3 with improved physics (HadAM3P) as a global driving model at N96 resolution, (1.25 x 1.875 degrees resolution, 19 levels) with 15 minutes timestep for dynamics. One-way nested within this is the Hadley Centre regional model (HadRM3P) run at high resolution. This is the regional model used in PRECIS experiments by the Met Office and in all weather@home experiments.

In this experiment it has 0.44 x 0.44 degrees resolution with a rotated pole to achieve approx. 50 km x 50 km resolution on 19 levels over South Asia. More info on https://www.climateprediction.net/education/climate-science/models-used/ and validation analysis of the weather@home system can be found in Massey et al 2015 https://doi.org/10.1002/qj.2455, and Guillod et al 2017 https://doi.org/10.5194/gmd-10-1849-2017.

Input Description

None

Output Description

None

Software Reference

None

  • units: m
  • long_name: GEOPOTENTIAL HEIGHT: PRESSURE LEVELS
  • standard_name: geopotential_height
  • var_id: item16202_daily_mean
  • units: kg m-2
  • long_name: SOIL MOISTURE CONTENT
  • standard_name: liquid_water_content_of_soil_layer
  • var_id: item8208_monthly_mean
  • units: K
  • standard_name: air_temperature
  • long_name: TEMPERATURE AT 1.5M
  • var_id: item3236_daily_mean
  • units: kg m-2 s-1
  • long_name: TOTAL PRECIPITATION RATE KG/M2/S
  • standard_name: precipitation_flux
  • var_id: item5216_daily_mean
  • units: m s-1
  • standard_name: northward_wind
  • long_name: V COMPNT OF WIND ON PRESSURE LEVELS
  • var_id: item15202_daily_mean
  • units: hPa
  • standard_name: air_pressure
  • var_id: z2
  • units: degrees
  • standard_name: grid_latitude
  • var_id: latitude0
  • units: degrees
  • standard_name: grid_longitude
  • var_id: longitude0
  • units: m
  • standard_name: height
  • long_name: height
  • var_id: z1
  • units: hPa
  • standard_name: air_pressure
  • long_name: pressure
  • var_id: z2
  • var_id: rotated_pole0
  • var_id: time0_bnds

Co-ordinate Variables

  • units: degrees_north
  • standard_name: latitude
  • long_name: latitude
  • var_id: latitude1
  • units: degrees_east
  • standard_name: longitude
  • long_name: longitude
  • var_id: longitude1
  • standard_name: time
  • var_id: time5
Coverage
Temporal Range
Start time:
1986-01-01T00:00:00
End time:
2016-12-31T00:00:00
Geographic Extent

 
90.0000°
 
-180.0000°
 
180.0000°
 
-90.0000°