Articles | Volume 12, issue 1
https://doi.org/10.5194/essd-12-647-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-12-647-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
20 Mar 2020
Data description article |
| 20 Mar 2020
| 20 Mar 2020
A Fundamental Climate Data Record of SMMR, SSM/I, and SSMIS brightness temperatures
Karsten Fennig
CORRESPONDING AUTHOR
Deutscher Wetterdienst, Offenbach, Germany
Marc Schröder
Deutscher Wetterdienst, Offenbach, Germany
Axel Andersson
Deutscher Wetterdienst, Hamburg, Germany
Rainer Hollmann
Deutscher Wetterdienst, Offenbach, Germany
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- Assimilation of OLCI total column water vapour in the Met Office global numerical weather prediction system R. Saunders https://doi.org/10.1002/met.2029
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- Evaluation of interdecadal trends in sea ice, surface winds and ocean waves in the Arctic in 1980--2019 V. Sharmar & M. Markina https://doi.org/10.2205/2020ES000741
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38 citations as recorded by crossref.
- Copernicus Data for Offshore Wind Energy: Capabilities, Applications and Emerging Trends P. Poozesh et al. https://doi.org/10.3390/su18041949
- Sea Surface Temperature Retrievals Using K- and Ka-Bands With Weak Brightness Temperature Response Residual Neural Networks P. Mao et al. https://doi.org/10.1109/TGRS.2024.3460875
- Consistency Assessment and Cross-Calibration of Passive Microwave Brightness Temperature from FY-3G/MWRI-RM and GCOM-W1/AMSR2 S. Wu et al. https://doi.org/10.3390/rs18121924
- Biases’ Characteristics Assessment of the HY-2B Scanning Microwave Radiometer (SMR)’s Observations Z. Li et al. https://doi.org/10.3390/rs15040889
- Uncertainties in Ocean Latent Heat Flux Variations over Recent Decades in Satellite-Based Estimates and Reduced Observation Reanalyses F. Robertson et al. https://doi.org/10.1175/JCLI-D-19-0954.1
- Highly Consistent Brightness Temperature Fundamental Climate Data Record From SSM/I and SSMIS S. Liu et al. https://doi.org/10.1109/TGRS.2023.3316694
- Multisensor Thermal Infrared and Microwave Land Surface Temperature Algorithm Intercomparison M. Perry et al. https://doi.org/10.3390/rs12244164
- Sensitivity analysis of microphysics and cumulus parameterization schemes: numerical simulation of cloudbursts over Uttarakhand using WRF modeling system H. Devan et al. https://doi.org/10.1007/s00704-023-04708-6
- Arctic Sea Ice Thickness Estimation From Passive Microwave Satellite Observations Between 1.4 and 36 GHz C. Soriot et al. https://doi.org/10.1029/2022EA002542
- Assimilation of OLCI total column water vapour in the Met Office global numerical weather prediction system R. Saunders https://doi.org/10.1002/met.2029
- Comparison of Different Intercalibration Methods of Brightness Temperatures From FY-3D and AMSR2 T. Wang et al. https://doi.org/10.1109/TGRS.2022.3176748
- Evaluation of interdecadal trends in sea ice, surface winds and ocean waves in the Arctic in 1980--2019 V. Sharmar & M. Markina https://doi.org/10.2205/2020ES000741
- Intercomparison of freshwater fluxes over ocean and investigations into water budget closure M. Gutenstein et al. https://doi.org/10.5194/hess-25-121-2021
- Performance and relationship of four different agricultural drought indices for drought monitoring in China's mainland using remote sensing data T. Javed et al. https://doi.org/10.1016/j.scitotenv.2020.143530
- A 16-year global climate data record of total column water vapour generated from OMI observations in the visible blue spectral range C. Borger et al. https://doi.org/10.5194/essd-15-3023-2023
- Reducing the Uncertainty in the Satellite Altimetry Estimates of Global Mean Sea Level Trends Using Highly Stable Water Vapor Climate Data Records A. Barnoud et al. https://doi.org/10.1029/2022JC019378
- Assessing the combination of passive and active microwave satellite observations (1.4 to 36 GHz) to estimate above ground biomass (AGB) globally C. Prigent et al. https://doi.org/10.1016/j.srs.2026.100386
- Global Mapping of Microwave Emissivity and Emitting Depth in Arid Areas Using GMI Observations S. Favrichon et al. https://doi.org/10.1029/2022EA002756
- A climate data record of year-round global sea-ice drift from the EUMETSAT Ocean and Sea Ice Satellite Application Facility (OSI SAF) T. Lavergne & E. Down https://doi.org/10.5194/essd-15-5807-2023
- Analysis of the main source regions of moisture transport events with the new ESA CCI/CM‐SAF total column water vapour climate data record (v2) J. Eiras‐Barca et al. https://doi.org/10.1002/qj.4358
- Global open-ocean daily turbulent heat flux dataset (1992–2020) from SSM/I via deep learning H. Wang et al. https://doi.org/10.5194/essd-18-2929-2026
- Uncertainty of the satellite-retrieved sea-ice area record and its trend A. Wernecke et al. https://doi.org/10.5194/tc-20-3783-2026
- Evaluation of tropical water vapour from CMIP6 global climate models using the ESA CCI Water Vapour climate data records J. He et al. https://doi.org/10.5194/acp-22-12591-2022
- Bridging temporal and spatial gaps in passive microwave observations for global snow depth estimation Q. Gu et al. https://doi.org/10.1016/j.jag.2026.105369
- External Calibration of MTVZA-GYa Microwave Radiometer Measurements in Scanner Channels. Part 1. The Modeling E. Zabolotskikh https://doi.org/10.3103/S106837392110006X
- Evaluating the Accuracy of Satellite-Based Microwave Radiometer PWV Products Using Shipborne GNSS Observations Across the Pacific Ocean Y. Gong et al. https://doi.org/10.1109/TGRS.2021.3129001
- Filling gaps of black-sky surface albedo of the Arctic sea ice using gradient boosting and brightness temperature data E. Jääskeläinen et al. https://doi.org/10.1016/j.jag.2022.102701
- Special Sensor Microwave Imager/Sounder Updates for the Global Precipitation Measurement V07 Data Suite R. Kroodsma et al. https://doi.org/10.1109/TGRS.2022.3162529
- Cloud Climatologies from Global Climate Models—A Comparison of CMIP5 and CMIP6 Models with Satellite Data A. Lauer et al. https://doi.org/10.1175/JCLI-D-22-0181.1
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- GIRAFE v1: a global climate data record for precipitation accompanied by a daily sampling uncertainty H. Konrad et al. https://doi.org/10.5194/essd-17-4097-2025
- Evaluation of total column water vapour products from satellite observations and reanalyses within the GEWEX Water Vapor Assessment T. Trent et al. https://doi.org/10.5194/acp-24-9667-2024
- Thermodynamic Scaling of Extreme Daily Precipitation over the Tropical Ocean from Satellite Observations V. De MEYER & R. ROCA https://doi.org/10.2151/jmsj.2021-020
- Inter-calibrating SMMR brightness temperatures over continental surfaces S. Favrichon et al. https://doi.org/10.5194/amt-13-5481-2020
Saved (final revised paper)
Latest update: 16 Sep 2026
Short summary
A Fundamental Climate Data Record (FCDR) from satellite-borne microwave radiometers has been created, covering the time period from October 1978 to December 2015. This article describes how the observations are processed, calibrated, corrected, inter-calibrated, and evaluated in order to provide a homogeneous data record of brightness temperatures across 10 different instruments aboard three different satellite platforms.
A Fundamental Climate Data Record (FCDR) from satellite-borne microwave radiometers has been...
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