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 |
|---|---|---|---|
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| Towards instance-wise calibration: local amortized diagnostics and reshaping of conditional densities (LADaR) | Dey, Biprateep, Zhao, David, Andrews, Brett H, Newman, Jeffrey A, Izbicki, Rafael, Lee, Ann B | Precipitation, Brightness Temperature | |
| 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 | |
| A database for the outer sizes of tropical cyclones over the Middle Americas | Perez-Estrada, Adolfo, Dominguez, Christian | Precipitation, Brightness Temperature, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| A geostationary satellite-based approach to estimate convective mass flux and revisit the hot tower hypothesis | Derras-Chouk, Amel, Luo, Zhengzhao Johnny | Air Temperature, Precipitation Rate, 24 Hour Maximum Temperature, 24 Hour Minimum Temperature, Precipitation, Brightness Temperature, Precipitation Amount, Snow, Rain, Total Surface Precipitation Rate | |
| A cnn system for segmenting tropical cyclones neighborhoods in geostationary images | May, Joshua, Harandi, Mehrtash, Tyo, J Scott, Hu, Liang, Ritchie-Tyo, Elizabeth A | Precipitation, Brightness Temperature | |
| A Multi-satellite Perspective on ``Hot Tower'' Characteristics in the | Pilewskie, Juliet, Stephens, Graeme, Takahashi, Hanii, LEcuyer, Tristan | Precipitation, Brightness Temperature | |
| Changes in Mesoscale Convective System Precipitation Structures in Response to a Warming Climate | Cui, Wenjun, Galarneau, Thomas J., Hoogewind, Kimberly A. | Precipitation, Brightness Temperature | |
| Automated Quality Control Scheme for GPM Satellite Precipitation | Tan, Jackson, Huffman, George J., Song, Yi | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain, Brightness Temperature | |
| Characterizing Wet Season Precipitation in the Central Amazon Using a Mesoscale Convective System Tracking Algorithm | Tai, ShengLun, Feng, Zhe, Marquis, James, Fast, Jerome | Precipitation, Brightness Temperature | |
| Changes in synoptic circulations associated with documented derechos over France in the past 70 years | Fery, Lucas, Faranda, Davide | Precipitation, Brightness Temperature, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Identification of the Tropopause Using the Jenks Natural Breaks | Sujithlal, S. P., Ahana, K. K., Satheesan, K., Kottayil, Ajil | Precipitation, Brightness Temperature | |
| Identifying the Mechanism of Interaction Between Soil Moisture State and Summertime MCS Initiations in Weakly Forced Synoptic Environments Using Convective-Permitting Simulations | Gaal, Rachel, Kinter, James L., Dirmeyer, Paul A., Singh, Bohar | Precipitation, Brightness Temperature | |
| Inter-seasonal variation of rainfall microphysics as observed over New Delhi, India | Kumar, Mohit, Chakravarty, Kaustav, Deshpande, Sachin, Kumar, Sumit, Srivastava, Atul | Precipitation, Brightness Temperature | |
| Is the Isotopic Composition of Precipitation a Robust Indicator for | Vimeux, Francoise, Risi, Camille, Barthe, Christelle, Francois, Soren, Cauquoin, Alexandre, Jossoud, Olivier, Metzger, JeanMarc, Cattani, Olivier, Minster, Benedicte, Werner, Martin | Atmospheric Water Vapor, Precipitation, RADAR, Brightness Temperature | |
| Isolated deep convections over the Tibetan Plateau in the rainy season during 20012020 | Na, Ying, Li, Chaofan, Lu, Riyu | Precipitation, Brightness Temperature, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Km-Scale Simulations of Mesoscale Convective Systems Over South AmericaA Feature Tracker Intercomparison | Prein, Andreas F., Feng, Zhe, Fiolleau, Thomas, Moon, Zachary L., Nunez Ocasio, Kelly M., Kukulies, Julia, Roca, Remy, Varble, Adam C., Rehbein, Amanda, Liu, Changhai, Ikeda, Kyoko, Mu, Ye, Rasmussen, Roy M. | Precipitation, Brightness Temperature | |
| East Asian summer monsoon delivers large abundances of very short-lived organic chlorine substances to the lower stratosphere | Pan, Laura L., Atlas, Elliot L., Honomichl, Shawn B., Smith, Warren P., Kinnison, Douglas E., Solomon, Susan, Santee, Michelle L., Saiz-Lopez, Alfonso, Laube, Johannes C., Wang, Bin, Ueyama, Rei, Bresch, James F., Hornbrook, Rebecca S., Apel, Eric C., Hills, Alan J., Treadaway, Victoria, Smith, Katie, Schauffler, Sue, Donnelly, Stephen, Hendershot, Roger, Lueb, Richard, Campos, Teresa, Viciani, Silvia, DAmato, Francesco, Bianchini, Giovanni, Barucci, Marco, Podolske, James R., Iraci, Laura T., Gurganus, Colin, Bui, Paul, Dean-Day, Jonathan M., Millan, Luis, Ryoo, Ju-Mee, Barletta, Barbara, Koo, Ja-Ho, Kim, Joowan, Liang, Qing, Randel, William J., Thornberry, Troy, Newman, Paul A. | Precipitation, Brightness Temperature | |
| Diagnosing Radial Ventilation in Dropsonde Observations of Hurricane Sam (2021) | Tang, Brian H., Rios-Berrios, Rosimar, Zhang, Jun A. | Precipitation, Brightness Temperature | |
| Comprehensive multisensor analysis of ground-reported squalls in the complex terrain of the Indian subcontinent | Saha, Rajdip, Roy, Partha | Precipitation, Brightness Temperature |