N: 60 S: -60 E: 180 W: -180
Description
These data originate from NOAA/NCEP.
The NOAA Climate Prediction Center/NCEP/NWS is making the data available originally in binary format, in a weekly rotating archive. The NASA GES DISC is acquiring the binary files as they become available, converts them into CF (Climate and Forecast) -convention compliant netCDF-4 format, and stores the product in a permanent archive. The original record started from February, 2000, but in June, 2025 it was extended back to January, 1998.
The leading edge of data availability is delayed by about 24 hours from real-time to abide by international data exchange agreements between NOAA and EUMETSAT (the METEOSAT data providers).
The data contain globally-merged (60°S-60°N) 4-km pixel-resolution IR brightness temperature data (equivalent blackbody temps), merged from the European, Japanese, and U.S. geostationary satellites over the period of record (GOES-8/9/10/11/12/13/14/15/16/17/18/19, METEOSAT-5/7/8/9/10/11, and GMS-5/MTSat-1R/2/Himawari-8/9).
The global geo-IR are dynamically calibrated to GOES East, using a 35 day trailing inter-calibration using time/space-matched IR Tb’s at the mid-point between sub-satellite positions. In the event of duplicate data in a grid box, the value with the smaller zenith angle is taken. The data have been corrected for "zenith angle dependence", in which IR temperatures for locations far from satellite nadir are erroneously cold due to a combination of geometric effects and radiometric path extinction effects (Joyce et al. 2001). Finally, the data are re-navigated for parallax, which shifts the geo-location of the GEO-IR footprints to approximately account for the cloud tops that the IR “sees” being displaced away from their actual geographic location when viewed along a slanted path. These corrections allow for the merging of the IR data from the various GEO-satellites with greatly reduced discontinuities at GEO-satellite data boundaries. In the event of duplicate data in a grid box, the value with the smaller zenith angle is taken.
The NASA GES DISC is curating these data in a self-documenting, CF-compliant, netCDF-4 format, which allows a broad range of applications to access the data directly, without the need to cope with the original binary data format. In addition to the direct download of netCDF-4 data, the GES DISC provides data download in binary, ASCII, and netCDF-3 formats using the OPeNDAP interface which also provides remote data access.
Similarities with the original
As in the original binaries, every netCDF-4 file covers one hour, and contains two half-hourly grids, at 4-km grid cell resolution.
Differences from the original
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The data in the netCDF-4 files are already converted to physical values of Brightness Temperatures in Kelvin. Because the original data values are round with no decimal precision, the data type in the netCDF-4 files has been changed to 2-byte signed integer, a transition that took place in mid-August, 2025. This reduces the file size and speeds up data download and remote access. There is no need to further scale these data. The netCDF-4 format is machine-independent and users need not worry about the endian-ness of their machines.
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To meet the requirements of collection spatial metadata, the grid is re-ordered from the original and now goes from -180 (West) to 180 (East). It is also starting from -60 (South).
The data and time units are reflected in the corresponding "units" attributes, and grid dimensions are described by longitude ("lon"), latitude ("lat") and "time" vectors. Thus, any CF-compliant tool should automatically understand the setup in the data files and the starting time for each half-hourly grid. Even without such tools, simple "ncdump" or "h5dump" command line tools will easily disclose the netCDF-4 files configuration.
Acknowledgements
The creation of the original data at NOAA/NCEP is supported by funding from the NOAA Office of Global Programs for the Global Precipitation Climatology Project (GPCP) and by NASA via the Tropical Rainfall Measuring Mission (TRMM).
The permanent archive at GES DISC is supported by NASA's HQ Earth Science Data Systems (ESDS) Program.
Product Summary
Citation
Citation is critically important for dataset documentation and discovery. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use and Citation Guidance.
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Documents
Publications Citing This Dataset
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| On Tropical Cyclone Genesis Types and Their Intensification Rate | Chung, Ming-Han, Wu, Chun-Chieh | Precipitation, Brightness Temperature | |
| A derecho climatology (20042021) in the United States based on machine learning identification of bow echoes | Li, Jianfeng, Geiss, Andrew, Feng, Zhe, Leung, L. Ruby, Qian, Yun, Cui, Wenjun | Precipitation, Brightness Temperature | |
| A Framework to Attribute Tropical Multiscale Precipitation Extremes to | Carenso, M., Fildier, B., Roca, R., Fiolleau, T. | Precipitation, Brightness Temperature, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Evolution and Characteristics of Mesoscale Convective Systems over the Congo Basin | Dong, Zeyao, Washington, Richard | Precipitation, Brightness Temperature, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Extreme local mesoscale convective systems over the South China coast | Wang, Chenli, Chen, Xingchao, Zhao, Kun | Precipitation, Brightness Temperature, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Extreme Sahelian Rainfall Continues to Rise Despite Stable Storm | Spat, Dorian, Biasutti, Michela, Voigt, Aiko | Precipitation, Brightness Temperature, Geopotential Height, Altitude, Surface Temperature, Upper Air Temperature, Dew Point Temperature, Air Temperature, Cloud Top Temperature, Atmospheric Winds, Surface Winds, U/V Wind Components, Upper Level Winds, U/V Wind Components, Vertical Wind Velocity/Speed, Atmospheric Pressure, Sea Level Pressure, Cloud Top Pressure, Sea Level Pressure, Surface Pressure, Specific Humidity, Total Precipitable Water, Cloud Liquid Water/Ice, Atmospheric Water Vapor, Atmospheric Ozone, Oxygen Compounds, Boundary Layer Winds, Skin Temperature, Vertical Profiles, Ozone Profiles, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Application of stream function in tracking a quasi-closed circulation and its characteristics in developing and non-developing tropical cyclones over the North Indian Ocean | Emmanuel, R., Deshpande, Medha, T.S., Anandh, Toumi, Ralf, Mano Kranthi, Ganadhi, Ingle, S.T. | Precipitation, Brightness Temperature | |
| Key drivers and predictability of the unprecedented 2024 United Arab Emirates flood | Wang, Jingyu, Wang, Xianfeng, Sun, Shuyu, Wen, Yonggang, Pathak, Raju, Dong, Luojie, Park, Edward, Hoteit, Ibrahim | Precipitation, Brightness Temperature, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Origin, size distribution, and hygroscopic properties of marine aerosols in the southwestern Indian Ocean: results of six campaigns of shipborne observations | Dournaux, Meredith, Tulet, Pierre, Pianezze, Joris, Brioude, Jerome, Metzger, Jean-Marc, Thyssen, Melilotus, Athier, Gilles | Precipitation, Brightness Temperature | |
| Observed Downdrafts and Ventilation During the Rapid Intensity Changes of Hurricane Delta (2020) | Johnson, Nicholas E., Tang, Brian H., Corbosiero, Kristen L., Moskaitis, Jonathan R. | Precipitation, Brightness Temperature | |
| Observed links between atmospheric cloud radiative effects and mesoscale organization of deep convection | Dai, Ni, Su, Hui, Neelin, J. David, Soden, Brian J., Kuo, YiHung | Precipitation, Brightness Temperature, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Segmentation of non-cloud regions of tropical cyclones with segformer | May, Joshua, Harandi, Mehrtash, Tyo, J Scott, Ritchie, Elizabeth A. | Precipitation, Brightness Temperature | |
| Relationships Between Mesoscale Convective System Properties and Midlevel Dynamic Perturbations | Marquis, James N., Feng, Zhe, Lubis, Sandro W., Zhang, Zhixiao, Leung, L. Ruby, Hu, Huancui | Precipitation, Brightness Temperature | |
| The Impacts of Rotational Mixing on the Precipitation Simulated by a | Hagos, Samson, Feng, Zhe, Varble, Adam C., Tai, ShengLun, Chen, Jingyi | Precipitation, Brightness Temperature, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| The impact of solar elevation angle on the net radiative effect of tropical cyclone clouds | Hu, Liang, Kim, Dae-Hui, Tyo, J. Scott, Ritchie, Elizabeth A. | Precipitation, Brightness Temperature | |
| Spatiotemporal Characteristics of Mesoscale Convective Systems in the | Du, Xinguan, Sun, Tianwen, Oo, Kyaw Than | Precipitation, Brightness Temperature | |
| Spatiotemporal Characteristics of Mesoscale Convective Systems Over East Asian Monsoon Region Simulated by a ConvectionPermitting Model | Mun, Taeho, Park, Haerin, Park, Junseo, Cha, DongHyun, Lee, MyongIn, Son, SeokWoo, Min, SeungKi | Precipitation, Brightness Temperature | |
| The Chalmers Cloud Ice Climatology: A Novel Robust Climate Record of | Pfreundschuh, Simon, Kukulies, Julia, Amell, Adria, Hallborn, Hanna, May, Eleanor, Eriksson, Patrick | Precipitation, Brightness Temperature, Clouds, Cloud Properties, Cloud Fraction, Cloud Frequency, Cloud Height, Cloud Top Height, Cloud Top Temperature, Cloud Emissivity, Infrared Radiance, REFLECTED INFRARED, Visible Radiance | |
| Spatiotemporal Variations in the Characteristics of Mesoscale Convective | Tupsoundare, Manisha, Deshpande, Sachin M., Feng, Zhe, Das, Subrata Kumar, Deshpande, Medha, Hanmante, Harshad | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain, Brightness Temperature | |
| Spatio-Temporal Representation of Mesoscale Convective Systems in | Hernandez, K. Santiago, Henao, Juan J., GomezRios, Sebastian, Robledo, Vanessa, Rendon, Angela M., Mejia, John F. | Precipitation, Brightness Temperature | |
| Sharpening Mesoscale Convective Systems Induced by Enhanced | Ding, Tian, Zhou, Tianjun, Guo, Zhun, Zou, Qian | Precipitation, Brightness Temperature, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Response of Global Mesoscale Convective Systems to Increased | Dong, Wenhao, Zhao, Ming, Harris, Lucas, Cheng, KaiYuan, Zhou, Linjiong, Ramaswamy, V. | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain, Brightness Temperature | |
| Sensitivity of a Kilometer-Scale Variable-Resolution Global Nonhydrostatic Model to Microphysics Schemes in Simulating a Mesoscale Convective System | Zhou, Yihui, Yu, Rucong, Zhang, Yi, Li, Jian, Chen, Haoming | Precipitation, Brightness Temperature, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| What Sets the Tropical Cold Point in GSRMs During Boreal Winter? Overshooting Convection Versus Cirrus Lofting | Nugent, Jacqueline M., Bretherton, Christopher S., Blossey, Peter N. | Precipitation, Brightness Temperature | |
| Understanding mesoscale convective processes over the Congo Basin using | Zhao, Siyu, Fu, Rong, Nunez Ocasio, Kelly, Nystrom, Robert, He, Cenlin, Zhang, Jiaying, Jiang, Xianan, Teixeira, Joao | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain, Brightness Temperature, Surface Pressure, Heat Flux, Longwave Radiation, Shortwave Radiation, Surface Temperature, Humidity, Evapotranspiration, Surface Winds, Soil Moisture/Water Content, Soil Temperature, Land Surface Temperature, Snow Water Equivalent, Runoff, Ground Water |