EGU2020-18636, updated on 20 Jul 2021
https://doi.org/10.5194/egusphere-egu2020-18636
EGU General Assembly 2020
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Development of a microwave-based precipitation climate data record for the Copernicus Climate Change Service

Giulia Panegrossi1, Paolo Sanò1, Leonardo Bagaglini1, Daniele Casella1, Elsa Cattani1, Hannes Konrad2, Anja Niedorf2, Marc Schröder2, Anna Christina Mikalsen2, and Rainer Hollmann2
Giulia Panegrossi et al.
  • 1Institute of Atmospheric and Climatic Sciences (ISAC), National Research Council (CNR), Rome, Italy (g.panegrossi@isac.cnr.it)
  • 2Deutscher Wetterdienst (DWD), Offenbach, Germany, Rainer.Hollmann@dwd.de

Within the Copernicus Climate Change Service (C3S), the Climate Data Store (CDS) built by ECMWF will provide open and free access to global and regional products of Essential Climate Variables (ECV) based on satellite observations spanning several decades, amongst other things. Given its significance in the Earth system and particularly for human life, the ECV precipitation will be of major interest for users of the CDS.

C3S strives to include as many established, high-quality data sets as possible in the CDS. However, it also intends to offer new products dedicated for first-hand publication in the CDS. One of these products is a climate data record based on merging satellite observations of daily and monthly precipitation by both passive microwave (MW) sounders (AMSU-B/MHS) and imagers (SSMI/SSMIS) on a 1°x1° spatial grid in order to improve spatiotemporal satellite coverage of the globe.

The MW sounder observations will be obtained using, as input data, the FIDUCEO Fundamental Climate data Record (FCDR) for AMSU-B/MHS in a new global algorithm developed specifically for the project based on the Passive microwave Neural network Precipitation Retrieval approach (PNPR; Sanò et al., 2015), adapted for climate applications (PNPR-CLIM). The algorithm consists of two Artificial Neural Network-based modules, one for precipitation detection, and one for precipitation rate estimate, trained on a global observational database built from Global Precipitation Measurement-Core Observatory (GPM-CO) measurements. The MW imager observations by SSM/I and SSMIS will be adopted from the Hamburg Ocean Atmosphere Fluxes and Parameters from Satellite data (HOAPS; Andersson et al., 2017), based on the CM SAF SSM/I and SSMIS FCDR (Fennig et al., 2017). The Level 2 precipitation rate estimates from MW sounders and imagers are combined through a newly developed merging module to obtain Level 3 daily and monthly precipitation and generate the 18-year precipitation CDR (2000-2017).

Here, we present the status of the Level 2 product’s development. We carry out a Level-2 comparison and present first results of the merged Level-3 precipitation fields. Based on this, we assess the product’s expected plausibility, coverage, and the added value of merging the MW sounder and imager observations.

References

Anderssonet al., 2017, DOI:10.5676/EUM_SAF_CM/HOAPS/V002

Fennig, et al., 2017, DOI:10.5676/EUM_SAF_CM/FCDR_MWI/V003

Sanò, P., et al., 2015, DOI: 10.5194/amt-8-837-2015

How to cite: Panegrossi, G., Sanò, P., Bagaglini, L., Casella, D., Cattani, E., Konrad, H., Niedorf, A., Schröder, M., Mikalsen, A. C., and Hollmann, R.: Development of a microwave-based precipitation climate data record for the Copernicus Climate Change Service, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-18636, https://doi.org/10.5194/egusphere-egu2020-18636, 2020.

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