Service Contract C3S 311c Lot2
Collaborators:
- L. Haimberger
- M. Blaschek
- F. Ambrogi
Status: Development
Date: 06-2021
Host: UNIVIE
Support for climate reanalysis including satellite data rescue
Lot 2: Historic upper-air data. The objective for this Lot is to develop and maintain a quality-controlled global database containing all known digitised in-situ upper-air weather observations made prior to 1979, together with metadata and information needed for data assimilation such as bias adjustments and uncertainty estimates.
More information can be found in CEUAS/cdm. Within this task the CDM tables are downloaded and converted.
More information can be found in CEUAS/meta. Within this task the station inventory is generated from multiple sources and a consolidated list is produced to be used in processing and merging stations.
More information can be found in CEUAS/public/cds-backend. Within this task the backend server and handling of the requests are coded. When requesting data from the Climate Data Store (CDS) the request is forwarded to the backend server. The request is then converted into subtasks and the data files are processed and results are returned. An example on how to use can be found here: Example.ipynb
More information can be found in CEUAS/public/harvest. Within this task the source datasets are downloaded from different providers and convert to a CDM compliant netCDF format.
More information can be found in CEUAS/public/merge. Within this task the CDM compliant netCDF files from the harvest task are merged and a consistent and combined dataset is produced.
More information can be found in CEUAS/public/adjust. Within this task the bias estimates are calculated based on background depatures from ERA5 (Hersbach et al. (2018)). The calculated bias estimates, based on Haimberger et al. (2008), are added to the CDM compliant dataset. An example can be found here: Example Homogenization.ipynb
More information can be found in CEUAS/public/uncertainties. Within this task the observation errors are estimated based on a method from Desrozier et al. (2005), Desrozier (2011), that uses first guess and analysis departures to estimate a combined observation error.
Desroziers, G., Berre, L., Chapnik, B. and Poli, P. (2005), Diagnosis of observation, background and analysis-error statistics in observation space. Q.J.R. Meteorol. Soc., 131: 3385-3396. (Accessed on 23.06.2021), 10.1256/qj.05.108
Desroziers, G. (2011): Observation error specification, ECMWF Annual Seminar 2011 [online] Available from: https://www.ecmwf.int/node/14958
Haimberger, L., Tavolato, C., and Sperka, S. (2008). Toward Elimination of the Warm Bias in Historic Radiosonde Temperature Records—Some New Results from a Comprehensive Intercomparison of Upper-Air Data. Journal of Climate 21, 18, 4587-4606. (Accessed on 23.06.2021), 10.1175/2008JCLI1929.1
Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., Thépaut, J-N. (2018): ERA5 hourly data on pressure levels from 1979 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). (Accessed on 23.06.2021), 10.24381/cds.bd0915c6