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Discussion papers
https://doi.org/10.5194/essd-2019-51
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-2019-51
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Data description paper 26 Mar 2019

Data description paper | 26 Mar 2019

Review status
This discussion paper is a preprint. A revision of the manuscript is under review for the journal Earth System Science Data (ESSD).

FROGs: a daily 1° × 1° gridded precipitation database ofrain gauge, satellite and reanalysis products

Rémy Roca1, Lisa V. Alexander2,3, Gerald Potter4, Margot Bador2,3, Rômulo Jucá5, Steefan Contractor2,6, Michael G. Bosilovich4, and Sophie Cloché7 Rémy Roca et al.
  • 1Laboratoire d’Etudes Géophysiques et d’Océanographie Spatiales, Toulouse, France
  • 2Climate Change Research Centre, UNSW Sydney, Australia
  • 3ARC Centre of Excellence for Climate Extremes, UNSW Sydney, Australia
  • 4NASA Goddard Space Flight Center, Greenbelt, Maryland
  • 5Geoscience Environnement Toulouse, Toulouse, France
  • 6School of Mathematics and Statistics, UNSW Sydney, Australia
  • 7IPSL, Palaiseau, France

Abstract. We introduce the Frequent Rainfall Observations on GridS (FROGS) database (Roca et al., 2019). It is composed of gridded daily precipitation products on a common 1° × 1° grid to ease intercomparison and assessment exercises. The database includes satellite, ground–based and reanalysis products. As most of the satellite products rely on rain gauges for calibration, unadjusted versions of satellite products are also provided where available. Each product is provided over its length of record and up to 2017 if available. Quasi-global, quasi-global land only, ocean only as well as tropical only and regional products (over continental Africa and South America) are included. All products are provided on a common netCDF format that is compliant with CF and AAC standards. Preliminary investigations of this large ensemble indicate that while a lot of features appear robust across the products, the characterization of precipitation extremes exhibit a large spread calling for careful selection of the products used for scientific applications. All datasets are freely available via an ftp server and identified thanks to the DOI: https://doi.org/10.14768/06337394-73A9-407C-9997-0E380DAC5598.

Rémy Roca et al.
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Rémy Roca et al.
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Short summary
This paper presents a database that is a collection of datasets of gridded 1° × 1° daily precipitation estimates from a variety of sources. It includes observations from in situ networks, satellite based estimations as well as outputs from atmospheric reanalysis. All the dataset have been formatted in the same way to ease their manipulation. This database aims at facilitating intercomparisons and validation exercices performed by the scientific community.
This paper presents a database that is a collection of datasets of gridded 1° × 1° daily...
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