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 |
|---|---|---|---|
| Rapid contraction of the radius of maximum tangential wind and rapid intensification of a tropical cyclone | Wu, Qiaoyan, Ruan, Zhenxin | Precipitation, Brightness Temperature | |
| The local waveletbased organization indexQuantification, localization and classification of convective organization from radar and satellite data | Brune, Sebastian, Buschow, Sebastian, Friederichs, Petra | Precipitation, Brightness Temperature | |
| The atmospheric controls of extreme convective events over the southern Arabian Peninsula during the spring season | Nelli, Narendra Reddy, Francis, Diana, Fonseca, Ricardo, Abida, Rachid, Weston, Michael, Wehbe, Youssef, Al Hosary, Taha | Precipitation, Brightness Temperature | |
| The Role of Mesoscale Convective Systems in Precipitation in the Tibetan | Kukulies, Julia, Chen, Deliang, Curio, Julia | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain, Brightness Temperature | |
| The Response and Feedback of Ocean Mesoscale Eddies to Four Sequential Typhoons in 2016 Based on Multiple Satellite Observations and Argo Floats | Li, Jiagen, Zhang, Han, Liu, Shanshan, Wang, Xiuting, Sun, Liang | Precipitation, Brightness Temperature | |
| Summer Mean and Extreme Precipitation Over the MidAtlantic Region: Climatological Characteristics and Contributions From Different Precipitation Types | Li, Jianfeng, Qian, Yun, Leung, L. Ruby, Feng, Zhe | Precipitation, Brightness Temperature, Surface Pressure, Longwave Radiation, Shortwave Radiation, Surface Temperature, Evaporation, Humidity, Convection, Surface Winds, Rain, Land Surface Temperature | |
| Calibration and validation of the Polarimetric Radio Occultation and Heavy Precipitation experiment aboard the PAZ satellite | Padulles, Ramon, Ao, Chi O., Turk, F. Joseph, de la Torre Juarez, Manuel, Iijima, Byron, Wang, Kuo Nung, Cardellach, Estel | Precipitation, Brightness Temperature, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Coordinated Ground-Based and Space-Based Observations of Equatorial | Aa, Ercha, Zou, Shasha, Eastes, Richard, Karan, Deepak K., Zhang, ShunRong, Erickson, Philip J., Coster, Anthea J. | Precipitation, Brightness Temperature | |
| Diurnal variations in tropical cyclone intensification | Wu, Qiaoyan, Hong, Jiacheng, Ruan, Zhenxin | Precipitation, Brightness Temperature | |
| Neglecting irrigation contributes to the simulated summertime warm-and-dry bias in the central United States | Qian, Yun, Yang, Zhao, Feng, Zhe, Liu, Ying, Gustafson, William I., Berg, Larry K., Huang, Maoyi, Yang, Ben, Ma, Hsi-Yen | Precipitation, Brightness Temperature | |
| On the Seeding of Periodic Equatorial Plasma Bubbles by Gravity Waves | Ajith, K. K., Li, Guozhu, Tulasi Ram, S., Yamamoto, M., Hozumi, K., Abadi, Prayitno, Xie, Haiyong | Precipitation, Brightness Temperature | |
| Special Classes of Terrestrial Gamma Ray Flashes From RHESSI | Smith, D. M., Kelley, N. A., Buzbee, P., Infanger, A., Splitt, M., Holzworth, R. H., Dwyer, J. R. | Precipitation, Brightness Temperature | |
| IMERG V06: Changes to the morphing algorithm | Tan, Jackson, Huffman, George J., Bolvin, David T., Nelkin, Eric J. | Precipitation, Brightness Temperature, Atmospheric Water Vapor, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Contrasting spring and summer large-scale environments associated with mesoscale convective systems over the US Great Plains | Song, Fengfei, Feng, Zhe, Leung, L. Ruby, Houze Jr., Robert A., Wang, Jingyu, Hardin, Joseph, Homeyer, Cameron R. | Precipitation, Brightness Temperature | |
| Heavy ice precipitation band in an oceanic extratropical cyclone observed by GPM/DPR: 1. A case study | Akiyama, Shizuka, Shige, Shoichi, Yamamoto, Munehisa K., Iguchi, Toshio | Precipitation, Brightness Temperature | |
| QUANTIFYING THE CONTRIBUTION OF TROPICAL CYCLONES TO THE EARTH'S | Nguyen, Kien Th., Alenin, Andrey S., Ritchie, Elizabeth A., Scott Tyo, J. | Precipitation, Brightness Temperature | |
| Sensing Heavy Precipitation With GNSS Polarimetric Radio Occultations | Cardellach, E., Oliveras, S., Rius, A., Tomas, S., Ao, C. O., Franklin, G. W., Iijima, B. A., Kuang, D., Meehan, T. K., Padulles, R., de la Torre Juarez, M., Turk, F. J., Hunt, D. C., Schreiner, W. S., Sokolovskiy, S. V., Van Hove, T., Weiss, J. P., Yoon, Y., Zeng, Z., Clapp, J., XiaSerafino, W., Cerezo, F. | Precipitation, Brightness Temperature, Precipitation Amount, Precipitation Rate, Snow, Rain, Atmospheric Water Vapor | |
| The detection of mesoscale convective systems by the GPM Ku-band spaceborne radar | WANG, Jingyu, HOUZE, Jr., Robert. A., FAN, Jiwen, BRODZIK, Stacy. R., FENG, Zhe, HARDIN, Joseph C. | Precipitation, Brightness Temperature | |
| Abrupt cloud clearing of marine stratocumulus in the subtropical southeast Atlantic | Yuter, Sandra E., Hader, John D., Miller, Matthew A., Mechem, David B. | Precipitation, Brightness Temperature | |
| TID Observations and Source Analysis During the 2017 Memorial Day | Jonah, O. F., Coster, A., Zhang, S., Goncharenko, L., Erickson, P. J., de Paula, E. R., Kherani, E. A. | Precipitation, Brightness Temperature |