Preprints
https://doi.org/10.5194/essd-2024-568
https://doi.org/10.5194/essd-2024-568
13 Feb 2025
 | 13 Feb 2025
Status: this preprint is currently under review for the journal ESSD.

GIRAFE v1: a global climate data record for precipitation accompanied by a daily sampling uncertainty

Hannes Konrad, Rémy Roca, Anja Niedorf, Stephan Finkensieper, Marc Schröder, Sophie Cloché, Giulia Panegrossi, Paolo Sanò, Christopher Kidd, Rômulo Augusto Jucá Oliveira, Karsten Fennig, Thomas Sikorski, Madeleine Lemoine, and Rainer Hollmann

Abstract. Here we introduce the first version of the Global Interpolated RAinfall Estimation (GIRAFE v1), the first dedicated global climate data record for precipitation by the Satellite Application Facility on Climate Monitoring (CM SAF) by the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT). GIRAFE is based on precipitation rate estimates obtained from observations by a variety of passive microwave radiometers onboard low-Earth orbit satellites and related retrieval algorithms and frequent and highly resolved infrared observations by geostationary satellites covering all longitudes (Geo-Ring). GIRAFE v1 is available globally at 1-degree resolution as daily accumulations and monthly means for the years 2002–2022, with an implementation of continuous production planned for 2025 onwards. The daily product is accompanied by a dedicated sampling uncertainty estimate based on decorrelation scales in space and time in infrared-based instantaneous precipitation fields. The methods for the generation of GIRAFE v1 are described in detail, followed by results of dedicated quality assessment and intercomparison activities. GIRAFE v1 reproduces reference datasets with a performance similar to established precipitation products, especially as those that are – like GIRAFE v1 – not adjusted to ground-based observations. Likewise, GIRAFE v1 proves to be suitable for the analysis of regional precipitation extremes, e.g. in their relation to sea surface temperatures. The main objective in the production of GIRAFE v1 is climate applications, for which we find the dataset highly suitable according to the dedicated stability and homogeneity analysis. The GIRAFE v1 data record is hosted by CM SAF and is freely available at https://doi.org/10.5676/EUM_SAF_CM/GIRAFE/V001 (Niedorf et al., 2024).

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Hannes Konrad, Rémy Roca, Anja Niedorf, Stephan Finkensieper, Marc Schröder, Sophie Cloché, Giulia Panegrossi, Paolo Sanò, Christopher Kidd, Rômulo Augusto Jucá Oliveira, Karsten Fennig, Thomas Sikorski, Madeleine Lemoine, and Rainer Hollmann

Status: open (until 22 Mar 2025)

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Hannes Konrad, Rémy Roca, Anja Niedorf, Stephan Finkensieper, Marc Schröder, Sophie Cloché, Giulia Panegrossi, Paolo Sanò, Christopher Kidd, Rômulo Augusto Jucá Oliveira, Karsten Fennig, Thomas Sikorski, Madeleine Lemoine, and Rainer Hollmann

Data sets

GIRAFE v1: CM SAF Global Interpolated RAinFall Estimation version 1 A. Niedorf, S. Finkensieper, H. Konrad, R. Roca, M. Schröder, S. Cloché, G. Panegrossi, P. Sanò, C. Kidd, R. A. Jucá Oliveira, K. Fennig, T. Sikorski, M. Penning de Vries, A. Radovan, F. Dietzsch, M. Pondrom, N. Selbach, and R. Hollmann https://doi.org/10.5676/EUM_SAF_CM/GIRAFE/V001

Hannes Konrad, Rémy Roca, Anja Niedorf, Stephan Finkensieper, Marc Schröder, Sophie Cloché, Giulia Panegrossi, Paolo Sanò, Christopher Kidd, Rômulo Augusto Jucá Oliveira, Karsten Fennig, Thomas Sikorski, Madeleine Lemoine, and Rainer Hollmann
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Latest update: 13 Feb 2025
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Short summary
GIRAFE v1 is a global satellite-based precipitation dataset covering 2002 to 2022. It combines high-accuracy microwave and high-resolution infrared observations for retrieving daily precipitation, a respective sampling uncertainty for a more robust analysis, and monthly means. It is intended and suitable for climate monitoring and research, allowing also studies for water management, agriculture, and disaster risk reduction. A continuous extension from 2023 onwards will be implemented in 2025.
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