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
-
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.
-
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.
Copy Citation
Documents
Publications Citing This Dataset
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| Contrasting response of mesoscale convective systems occurrence over tropical land and ocean to increased sea surface temperature | Dong, Wenhao, Zhao, Ming, Harris, Lucas, Cheng, KaiYuan, Zhou, Linjiong, Ramaswamy, V. | Precipitation, Brightness Temperature, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Contribution of Mesoscale Convective Systems to Floods in the East Asian | Ding, Tian, Zhou, Tianjun, Guo, Zhun, Yang, Yuan, Zou, Liwei, Chen, Xiaolong | Precipitation, Brightness Temperature, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| How Might the May 2015 Flood in the U.S. Southern Great Plains Induced by Clustered MCSs Unfold in the Future? | Feng, Zhe, Chen, Xiaodong, Leung, L. Ruby | Precipitation, Brightness Temperature | |
| Climatological tracking and lifecycle characteristics of mesoscale convective systems in Northwestern South America | Robledo, Vanessa, Henao, Juan J., Mejia, John F., RamirezCardona, Alvaro, Hernandez, K. Santiago, GomezRios, Sebastian, Rendon, Angela M. | Precipitation, Brightness Temperature, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Monsoonal MCS Initiation, Rainfall, and Diurnal Gravity Waves over the Bay of Bengal: Observation and a Linear Model | Peng, Chin-Hsuan, Chen, Xingchao | Precipitation, Brightness Temperature, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Mesoscale Convective Systems Represented in High Resolution E3SMv2 and | Zhang, Meng, Xie, Shaocheng, Feng, Zhe, Terai, Christopher R., Lin, Wuyin, Tao, Cheng, Chen, ChihChiehJack, Fan, Jiwen, Golaz, JeanChristophe, Leung, L. Ruby, Richter, Jadwiga H., Shan, Yunpeng, Song, Xiaoliang, Tang, Qi, Zhang, Guang J. | Precipitation, Brightness Temperature, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Mesoscale structures in the Orinoco basin during an extreme | Martinez, J. Alejandro, Arias, Paola A., Dominguez, Francina, Prein, Andreas | Precipitation, Brightness Temperature, Precipitation Amount, Precipitation Rate, Snow, Rain, Total Surface Precipitation Rate | |
| Realistic Precipitation Diurnal Cycle in Global Convection-Permitting | Song, Jinyan, Song, Fengfei, Feng, Zhe, Leung, L. Ruby, Li, Chao, Wu, Lixin | Precipitation, Brightness Temperature, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Source Altitude of Energetic In-Cloud Pulses Inside Thunderstorms and Implication for the Intrinsic Brightness of Terrestrial Gamma-Ray Flashes | Lyu, Fanchao, Qin, Zilong, Cummer, Steven A., Zheng, Yu, Jiang, Sulin, Zheng, Tianxue, Liu, Yan, Xu, Wei, Lyu, Weitao | Precipitation, Brightness Temperature | |
| Severe Convectively Induced Turbulence Hitting a Passenger Aircraft and | Gisinger, S., Bramberger, M., Dornbrack, A., Bechtold, P. | Precipitation, Brightness Temperature | |
| Rainfall Sensitivity to Microphysics and Planetary Boundary Layer Parameterizations in Convection-Permitting Simulations over Northwestern South America | Hernandez, K. Santiago, Gomez-Rios, Sebastian, Henao, Juan J., Robledo, Vanessa, Ramirez-Cardona, Alvaro, Rendon, Angela M. | Precipitation, Brightness Temperature, Precipitation Amount, Precipitation Rate, Snow, Rain, Total Surface Precipitation Rate | |
| Responses of summer mesoscale convective systems to irrigation over the | Wang, Yixiao, Yang, Ben, Yang, Zhao, Feng, Zhe, Qiu, Bo, Dai, Guoqing, Qian, Yun, Zhang, Yaocun | Precipitation, Brightness Temperature, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| The PAZ polarimetric radio occultation research dataset for scientific | Padulles, Ramon, Cardellach, Estel, Paz, Antia, Oliveras, Santi, Hunt, Douglas C., Sokolovskiy, Sergey, Weiss, Jan-Peter, Wang, Kuo-Nung, Turk, F. Joe, Ao, Chi O., de la Torre Juarez, Manuel | Atmospheric Water Vapor, Precipitation, Brightness Temperature, Precipitation Amount, Precipitation Rate, Snow, Rain, Brightness Temperature | |
| The Chalmers Cloud Ice Climatology: retrieval implementation and validation | Amell, Adria, Pfreundschuh, Simon, Eriksson, Patrick | Precipitation, Brightness Temperature, Atmospheric Emitted Radiation, Emissivity, Optical Depth/Thickness, Radiative Flux, Reflectance, Transmittance, Clouds, Cloud Condensation Nuclei, Cloud Droplet Concentration/Size, Cloud Liquid Water/Ice, Cloud Optical Depth/Thickness, Cloud Precipitable Water, Cloud Asymmetry, Cloud Ceiling, Cloud Frequency, Cloud Height, Cloud Top Pressure, Cloud Top Temperature, Cloud Vertical Distribution, Cloud Emissivity, Cloud Radiative Forcing, Cloud Reflectance, Cloud Types, Cloud Microphysics, Cloud Liquid Water/Ice, Cloud Droplet Concentration/Size, Particle Size Distribution, Water Vapor Indices, Radar Reflectivity, Doppler Velocity, Radar Backscatter, Radar Cross-Section, Return Power, Cloud Droplet Distribution, MEAN RADIAL VELOCITY | |
| Synoptic Control on the Initiation and Rainfall Characteristics of | Wang, Chenli, Chen, Xingchao, Zhao, Kun, Peng, ChinHsuan | Precipitation, Brightness Temperature, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Synoptic forcing and thermo-dynamical processes during cloudburst event over Sauni Binsar, Uttarakhand, India | Sarkar, Debojit, Kesarkar, Amit, Bhate, Jyoti, Goriparthi, Pavani, Chandrasekar, Anantharaman | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain, Brightness Temperature | |
| Uncertainty of Atmospheric Winds in Three Widely Used Global Reanalysis Datasets | Wu, Longtao, Su, Hui, Zeng, Xubin, Posselt, Derek J., Wong, Sun, Chen, Shuyi, Stoffelen, Ad | Precipitation, Brightness Temperature, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Unveiling the Urban Impact on Mesoscale Convective System Rainfall in | Du, Xinguan, Chen, Haishan, Luo, Yali, Li, Qingqing, Feng, Zhe, Leung, L. Ruby | Precipitation, Brightness Temperature, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Tracking precipitation features and associated large-scale environments over southeastern Texas | Liu, Ye, Qian, Yun, Berg, Larry K., Feng, Zhe, Li, Jianfeng, Chen, Jingyi, Yang, Zhao | Precipitation, Brightness Temperature | |
| An Observational Analysis of the Relationship between Tropical Cyclone Vortex Tilt, Precipitation Structure, and Intensity Change | Fischer, Michael S., Rogers, Robert F., Reasor, Paul D., Dunion, Jason P. | Precipitation, Brightness Temperature | |
| Atmospheric convection research using autonomous surface vehicles | Yoneyama, Kunio, Yokoi, Satoru, Fujita, Mikiko, Seiki, Ayako, Katsumata, Masaki, Geng, Biao, Fukuda, Tatsuya | Precipitation, Brightness Temperature | |
| AtmosphereOcean Coupled Energy Budgets of Tropical Convective DischargeRecharge Cycles | Wolding, Brandon, Rydbeck, Adam, Dias, Juliana, Ahmed, Fiaz, Gehne, Maria, Kiladis, George, Dellaripa, Emily M. Riley, Chen, Xingchao, McCoy, Isabel L. | Precipitation, Brightness Temperature | |
| Kilometer-scale multi-model and multi-physics ensemble simulations of a mesoscale convective system in the lee of the Tibetan Plateau: Implications for climate ... | Kukulies, Julia, Prein, Andreas F., Curio, Julia, Yu, Hongyong, Chen, Deliang | Precipitation, Brightness Temperature | |
| Impact of Convection-Permitting and Model Resolution on the Simulation | Ding, Tian, Guo, Zhun, Zou, Liwei, Zhou, Tianjun | Precipitation, Brightness Temperature, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Dynamic Targeting to Improve Earth Science Missions | Candela, Alberto, Swope, Jason, Chien, Steve A. | Precipitation, Brightness Temperature, Precipitation Amount, Precipitation Rate, Snow, Rain |