RoCliB– bias‐corrected CORDEX RCMdataset over Romania. Issue 2 (25th April 2022)
- Record Type:
- Journal Article
- Title:
- RoCliB– bias‐corrected CORDEX RCMdataset over Romania. Issue 2 (25th April 2022)
- Main Title:
- RoCliB– bias‐corrected CORDEX RCMdataset over Romania
- Authors:
- Dumitrescu, Alexandru
Amihaesei, Vlad‐Alexandru
Cheval, Sorin - Abstract:
- Abstract: Four climate parameters (i.e. maximum, mean and minimum air temperature and precipitation amount) from 10 regional climate models, provided by the EURO‐CORDEX initiative, are adjusted using as reference the ROCADA gridded dataset. The adjustment was performed on a daily temporal resolution for the historical period (1971–2005), as well as for climate change scenarios based on two Representative Concentration Pathways (RCP4.5 and RCP8.5). The most accurately method for bias‐correction (BC) was selected following a 2‐fold cross‐validation approach, which was performed on historical data using two methods: Quantile Mapping (QMAP) and Multivariate Bias Correction with N‐dimensional probability (MBCn). The performances of the two methods are very similar when analysing the frequency distribution of each selected variable, whereas the comparison between (1) the intervariables correlation of the adjusted datasets, and (2) the reference dataset revealed much smaller differences for the dataset adjusted with the multivariate method, hence this was used for producing the BC scenario dataset. Based on the MBCn adjusted dataset, a climate change analysis over Romania was tested at the seasonal and annual scale. Overall, for the multimodel ensemble mean, at the country level, a substantial temperature increase is reported for both scenarios and no significant trend is revealed for precipitation amount. The adjusted RCMs are provided without any restrictions via an open‐accessAbstract: Four climate parameters (i.e. maximum, mean and minimum air temperature and precipitation amount) from 10 regional climate models, provided by the EURO‐CORDEX initiative, are adjusted using as reference the ROCADA gridded dataset. The adjustment was performed on a daily temporal resolution for the historical period (1971–2005), as well as for climate change scenarios based on two Representative Concentration Pathways (RCP4.5 and RCP8.5). The most accurately method for bias‐correction (BC) was selected following a 2‐fold cross‐validation approach, which was performed on historical data using two methods: Quantile Mapping (QMAP) and Multivariate Bias Correction with N‐dimensional probability (MBCn). The performances of the two methods are very similar when analysing the frequency distribution of each selected variable, whereas the comparison between (1) the intervariables correlation of the adjusted datasets, and (2) the reference dataset revealed much smaller differences for the dataset adjusted with the multivariate method, hence this was used for producing the BC scenario dataset. Based on the MBCn adjusted dataset, a climate change analysis over Romania was tested at the seasonal and annual scale. Overall, for the multimodel ensemble mean, at the country level, a substantial temperature increase is reported for both scenarios and no significant trend is revealed for precipitation amount. The adjusted RCMs are provided without any restrictions via an open‐access repository in netCDF CF‐1.4‐compliant file format. The BC climate models are archived at the 0.1° spatial resolution, in the WGS‐84 coordinate system, at a daily temporal resolution. Abstract : Four climate parameters (i.e. maximum, mean and minimum air temperature and precipitation amount) from 10 regional climate models, provided by the EURO‐CORDEX initiative, are adjusted using as reference the ROCADA gridded dataset, based on a multivariate approach. The adjustment was performed on a daily temporal resolution for the historical period (1971–2005), as well as for climate change scenarios based on two Representative Concentration Pathways (RCP45 and RCP85). … (more)
- Is Part Of:
- Geoscience data journal. Volume 10:Issue 2(2023)
- Journal:
- Geoscience data journal
- Issue:
- Volume 10:Issue 2(2023)
- Issue Display:
- Volume 10, Issue 2 (2023)
- Year:
- 2023
- Volume:
- 10
- Issue:
- 2
- Issue Sort Value:
- 2023-0010-0002-0000
- Page Start:
- 262
- Page End:
- 275
- Publication Date:
- 2022-04-25
- Subjects:
- Earth sciences -- Research -- Periodicals
Earth sciences -- Data processing -- Periodicals
Earth sciences -- Documentation -- Periodicals
550.28557 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)2049-6060 ↗
http://rmets.onlinelibrary.wiley.com/hub/journal/10.1002/(ISSN)2049-6060/ ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/gdj3.161 ↗
- Languages:
- English
- ISSNs:
- 2049-6060
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 27034.xml