Dataset

Weather Research and Forecasting (v3.6) model outputs from 2-km Kuala Lumpur urban climate experiments v1.0

Also known as: WRFv3.6_KL_UClim_v1.0
CLEX
Dr Daniel Argüeso (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25914/5d841dd7c2c83&rft.title=Weather Research and Forecasting (v3.6) model outputs from 2-km Kuala Lumpur urban climate experiments v1.0&rft.identifier=10.25914/5d841dd7c2c83&rft.publisher=CLEX&rft.description=This dataset contains model outputs from the Weather Research and Forecasting model 3.6 over the Malay Peninsula at 2 km spatial resolution and covering the period 2008-2012. It includes two different simulations: an experiment with urban areas and a second simulation where cities are replaced with the dominant surrounding vegetation type. Precipitation and 2m temperature were directly extracted from the raw model outputs. Near-surface water vapor mixing ratio divergence was calculated using 2-m mixing ratio and 10-m wind components from the raw outputs. 4D variables (i.e. temperature, water vapor mixing ratio, cloud water and ice mixing ratio and wind speed) were extracted from the raw outputs and interpolated to height above the ground levels from the model native levels. The raw data was created using the Weather Research and Forecasting Model (ARWv3.6) driven by ERA-Interim reanalysis over the period 2008-2012. A set of variables were extracted from the raw data and converted to CF-Standard netCDF files. The simulations were performed by Daniel Argueso in collaboration with Jason Evans for the Centre of Excellence for Climate Extremes Extreme rainfall research program.&rft.creator=Dr Daniel Argüeso&rft.date=2019&rft.relation=doi&rft.relation=10.1007/s00382-015-2893-6&rft.coverage=99.9,-0.2 105.3,-0.2 105.3,4.7 99.9,4.7 99.9,-0.2&rft.coverage=Malay Peninsula&rft_rights=Access to this dataset is free, the users are free to download this dataset and share it with others and adapt it as long as they credit the dataset owners, provide a link to the license, and if changes were made, indicate it clearly and distribute their contributions under the same license as the original, commercial use is not permitted.&rft_rights=Creative Commons - Attribution - Non Commercial - Share Alike 4.0 International http://creativecommons.org/licenses/by-nc-sa/4.0/legalcode&rft_subject=Climate Change Processes&rft_subject=EARTH SCIENCES&rft_subject=ATMOSPHERIC SCIENCES&rft_subject=Climatology (excl. Climate Change Processes)&rft_subject=Urban precipitation&rft_subject=Urban canopy model&rft_subject=Regional climate model&rft.type=dataset&rft.language=English Access the data

Licence & Rights:

Non-Commercial Licence view details
CC-BY-NC-SA

Creative Commons - Attribution - Non Commercial - Share Alike 4.0 International
http://creativecommons.org/licenses/by-nc-sa/4.0/legalcode

Access to this dataset is free, the users are free to download this dataset and share it with others and adapt it as long as they credit the dataset owners, provide a link to the license, and if changes were made, indicate it clearly and distribute their contributions under the same license as the original, commercial use is not permitted.

Access:

Open view details

Dataset is available online

Full description

This dataset contains model outputs from the Weather Research and Forecasting model 3.6 over the Malay Peninsula at 2 km spatial resolution and covering the period 2008-2012. It includes two different simulations: an experiment with urban areas and a second simulation where cities are replaced with the dominant surrounding vegetation type. Precipitation and 2m temperature were directly extracted from the raw model outputs. Near-surface water vapor mixing ratio divergence was calculated using 2-m mixing ratio and 10-m wind components from the raw outputs. 4D variables (i.e. temperature, water vapor mixing ratio, cloud water and ice mixing ratio and wind speed) were extracted from the raw outputs and interpolated to height above the ground levels from the model native levels.

The raw data was created using the Weather Research and Forecasting Model (ARWv3.6) driven by ERA-Interim reanalysis over the period 2008-2012. A set of variables were extracted from the raw data and converted to CF-Standard netCDF files.

The simulations were performed by Daniel Argueso in collaboration with Jason Evans for the Centre of Excellence for Climate Extremes Extreme rainfall research program.

Created: 2019-08-01

Data time period: 2008-01-01 to 2012-12-31

Click to explore relationships graph

99.9,-0.2 105.3,-0.2 105.3,4.7 99.9,4.7 99.9,-0.2

102.6,2.25

text: Malay Peninsula

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Other Information
Simulating REalistic HIgh-resolution PREcipitation in the tropic

fundref : MSCA-IF Actions H2020-MSCA-IF-2016-743547

URI : https://cordis.europa.eu/project/rcn/208852/factsheet/en

Identifiers