Articles | Volume 11, issue 3
https://doi.org/10.5194/essd-11-1017-2019
https://doi.org/10.5194/essd-11-1017-2019
Data description paper
 | 
10 Jul 2019
Data description paper |  | 10 Jul 2019

FROGS: a daily 1°  ×  1° gridded precipitation database of rain gauge, satellite and reanalysis products

Rémy Roca, Lisa V. Alexander, Gerald Potter, Margot Bador, Rômulo Jucá, Steefan Contractor, Michael G. Bosilovich, and Sophie Cloché

Related authors

A method for characterizing the spatial organization of deep convective cores in deep convective systems’ cloud shield
Louis Netz, Thomas Fiolleau, and Rémy Roca
EGUsphere, https://doi.org/10.5194/egusphere-2025-2247,https://doi.org/10.5194/egusphere-2025-2247, 2025
Short summary
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
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-568,https://doi.org/10.5194/essd-2024-568, 2025
Revised manuscript accepted for ESSD
Short summary
A database of deep convective systems derived from the intercalibrated meteorological geostationary satellite fleet and the TOOCAN algorithm (2012–2020)
Thomas Fiolleau and Rémy Roca
Earth Syst. Sci. Data, 16, 4021–4050, https://doi.org/10.5194/essd-16-4021-2024,https://doi.org/10.5194/essd-16-4021-2024, 2024
Short summary
Climatology of free-tropospheric humidity: extension into the SEVIRI era, evaluation and exemplary analysis
M. Schröder, R. Roca, L. Picon, A. Kniffka, and H. Brogniez
Atmos. Chem. Phys., 14, 11129–11148, https://doi.org/10.5194/acp-14-11129-2014,https://doi.org/10.5194/acp-14-11129-2014, 2014
Investigation of negative cloud radiative forcing over the Indian subcontinent and adjacent oceans during the summer monsoon season
B. V. Thampi and R. Roca
Atmos. Chem. Phys., 14, 6739–6758, https://doi.org/10.5194/acp-14-6739-2014,https://doi.org/10.5194/acp-14-6739-2014, 2014

Related subject area

Meteorology
A derecho climatology (2004–2021) in the United States based on machine learning identification of bow echoes
Jianfeng Li, Andrew Geiss, Zhe Feng, L. Ruby Leung, Yun Qian, and Wenjun Cui
Earth Syst. Sci. Data, 17, 3721–3740, https://doi.org/10.5194/essd-17-3721-2025,https://doi.org/10.5194/essd-17-3721-2025, 2025
Short summary
An updated reconstruction of Antarctic near-surface air temperatures at monthly intervals since 1958
David Bromwich, Sheng-Hung Wang, Xun Zou, and Alexandra Ensign
Earth Syst. Sci. Data, 17, 2953–2962, https://doi.org/10.5194/essd-17-2953-2025,https://doi.org/10.5194/essd-17-2953-2025, 2025
Short summary
HighResClimNevada: a high-resolution climatological dataset for a high-altitude region in southern Spain (Sierra Nevada)
Matilde García-Valdecasas Ojeda, Feliciano Solano-Farias, David Donaire-Montaño, Emilio Romero-Jiménez, Juan José Rosa-Cánovas, Yolanda Castro-Díez, Sonia R. Gámiz-Fortis, and María Jesús Esteban-Parra
Earth Syst. Sci. Data, 17, 2809–2829, https://doi.org/10.5194/essd-17-2809-2025,https://doi.org/10.5194/essd-17-2809-2025, 2025
Short summary
Estimation of long-term gridded cloud radiative kernel and radiative effects based on cloud fraction
Xinyan Liu, Tao He, Qingxin Wang, Xiongxin Xiao, Yichuan Ma, Yanyan Wang, Shanjun Luo, Lei Du, and Zhaocong Wu
Earth Syst. Sci. Data, 17, 2405–2435, https://doi.org/10.5194/essd-17-2405-2025,https://doi.org/10.5194/essd-17-2405-2025, 2025
Short summary
Two sets of bias-corrected regional UK Climate Projections 2018 (UKCP18) of temperature, precipitation and potential evapotranspiration for Great Britain
Nele Reyniers, Qianyu Zha, Nans Addor, Timothy J. Osborn, Nicole Forstenhäusler, and Yi He
Earth Syst. Sci. Data, 17, 2113–2133, https://doi.org/10.5194/essd-17-2113-2025,https://doi.org/10.5194/essd-17-2113-2025, 2025
Short summary

Cited articles

Adler, R. F., Gu, G., Sapiano, M., Wang, J. J., and Huffman, G. J.: Global Precipitation: Means, Variations and Trends During the Satellite Era (1979–2014), Surv. Geophys., 38, 679–699, https://doi.org/10.1007/s10712-017-9416-4, 2017. 
Andersson, A., Fennig, K., Klepp, C., Bakan, S., Graßl, H., and Schulz, J.: The Hamburg Ocean Atmosphere Parameters and Fluxes from Satellite Data – HOAPS-3, Earth Syst. Sci. Data, 2, 215–234, https://doi.org/10.5194/essd-2-215-2010, 2010. 
Andersson, A., Graw, K., Marc, S., Fennig, K., Liman, J., Bakan, S., Hollmann, R., and Klepp, C.: Hamburg Ocean Atmosphere Parameters and Fluxes from Satellite Data – HOAPS 4.0, Satellite Application Facility on Climate Monitoring, https://doi.org/10.5676/EUM_SAF_CM/HOAPS/V002, 2017. 
Aonashi, K., Awaka, J., Hirose, M., Kozu, T., Kubota, T., Liu, G., Shige, S., Kida, S., Seto, S., Takahashi, N., and Takayabu, Y.: GSMaP Passive Microwave Precipitation Retrieval Algorithm: Algorithm Description and Validation, J. Meteorol. Soc. Jpn. 87A, 119–136, https://doi.org/10.2151/jmsj.87A.119, 2009. 
Download
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 and outputs from atmospheric reanalysis. All the datasets have been formatted in the same way to ease their manipulation. This database aims at facilitating intercomparisons and validation exercises performed by the scientific community.
Share
Altmetrics
Final-revised paper
Preprint