N: 70 S: -70 E: 180 W: -180
Description
Version 07 is the current version of the data set. Older versions will no longer be available and have been superseded by Version 07.
The same algorithm has been applied to TRMM observations (December 1997 - April 2015) and these data can be found under product name GPM_2BCMB_TRMM.
This is a precipitation product created from the combination of the Global Precipitation Measurement (GPM) Microwave Imager (GMI) and Dual-frequency Precipitation Radar (DPR) instruments.
The 2BCMB product uses data from the Dual-Frequency Precipitation Radar and GMI, determining the precipitation structure that best fits the combined data from these instruments. It is the Level 2 DPR and GMI Combined precipitation product that contains the data acquired by the GPM instruments in one orbit, or granule. It is written as a two-swath structure. The first swath, NS (normal scan), contains 49 rays per scan that match the KuPR rays. It is calculated from the KuPR and GMI data. The second swath, MS (matched scan), contains 25 rays per scan that match the 25 KaPR rays. It is calculated from the KuPR, KaPR, and GMI data.
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
READ-ME
ANOMALIES
GENERAL DOCUMENTATION
Publications Citing This Dataset
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| A multi-frequency spaceborne radar perspective of deep convection | Chase, Randy J., Dolan, Brenda, Rasmussen, Kristen L., Schulte, Richard M., Stephens, Graeme, Turk, F. Joe, van den Heever, Susan C. | Atmospheric Water Vapor, Precipitation, RADAR | |
| Probabilistic Near-Real-Time Retrievals of Rain Over Africa Using Deep | Amell, Adria, Hee, Lilian, Pfreundschuh, Simon, Eriksson, Patrick | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain, Atmospheric Water Vapor | |
| Precipitation Retrieval Integrating Multiple Satellite Observations: A Dataset and A Framework | Wang, Zheng, He, Boxian, Wang, Chunjiao, Xu, Bin, Bai, Cong | Atmospheric Water Vapor, Precipitation, RADAR, Brightness Temperature | |
| Raindrop size distribution characteristics of summer and autumn tropical cyclones in the South China Sea based on satellite observations | Qian, Guiling, Li, Jiangnan, Chen, Jianfei | Atmospheric Water Vapor, Precipitation | |
| Comparative Analysis of Summer Deep Convection Systems over the Tibetan Plateau and Sichuan Basin | Yan, Xin, Chen, Quanliang, Li, Yang, Liao, Yujing | Atmospheric Water Vapor, Precipitation | |
| STREAM-Sat: A Novel Near-Realtime Quasi-Global Satellite-Only Ensemble | Peng, Kaidi, Wright, Daniel B., Derin, Yagmur, Hartke, Samantha H., Li, Zhe, Tan, Jackson | Atmospheric Water Vapor, Precipitation, RADAR, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Variations in Simulated GMI Brightness Temperatures due to Varying Particle Size Distribution Models and Hydrometeor Characteristics in a Severe Hailstorm | Leppert, Kenneth D., Cecil, Daniel J. | Atmospheric Water Vapor, Precipitation | |
| Life cycle of precipitating cloud systems from synergistic satellite observations: Evolution of macrophysical properties and precipitation statistics from ... | Guilloteau, Clement, Foufoula-Georgiou, Efi | Atmospheric Water Vapor, Precipitation | |
| GPROF V7 and beyond: assessment of current and potential future versions of the GPROF passive microwave precipitation retrievals against ground radar ... | Pfreundschuh, Simon, Guilloteau, Clement, Brown, Paula J., Kummerow, Christian D., Eriksson, Patrick | Atmospheric Water Vapor, Precipitation | |
| Comparative Analysis of the Latest Global Oceanic Precipitation Estimates from GPM V07 and GPCP V3. 2 Products | Behrangi, Ali, Song, Yang, Huffman, George J., Adler, Robert F. | Atmospheric Water Vapor, Precipitation, RADAR | |
| Espresso: A Global Deep Learning Model to Estimate Precipitation from Satellite Observations | Berthomier, Lea, Perier, Laurent | Atmospheric Water Vapor, Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Can We Estimate the Uncertainty Level of Satellite Long-Term Precipitation Records? | Petkovic, Veljko, Brown, Paula J., Berg, Wesley, Randel, David L., Jones, Spencer R., Kummerow, Christian D. | Atmospheric Water Vapor, Precipitation, Brightness Temperature | |
| GPROF-NN: a neural-network-based implementation of the Goddard Profiling Algorithm | Pfreundschuh, Simon, Brown, Paula J., Kummerow, Christian D., Eriksson, Patrick, Norrestad, Teodor | Atmospheric Water Vapor, Precipitation, Brightness Temperature | |
| An improved near-real-time precipitation retrieval for Brazil | Pfreundschuh, Simon, Ingemarsson, Ingrid, Eriksson, Patrick, Vila, Daniel A., Calheiros, Alan J. P. | Atmospheric Water Vapor, Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| The effects of heavy precipitation on polarimetric radio occultation (PRO) bending angle observations | Wang, Kuo-Nung, Ao, Chi O., Padulles, Ramon, Turk, Francis J., Juarez, Manuel de la Torre, Cardellach, Estel | Atmospheric Water Vapor, Precipitation | |
| Rainfall algorithms using oceanic satellite observations from MWHS-2 | Chen, Ruiyao, Bennartz, Ralf | Atmospheric Water Vapor, Precipitation | |
| Applications of dynamic land surface information for passive microwave precipitation retrieval | Ringerud, Sarah, Peters-Lidard, Christa, Munchak, Joe, You, Yalei | Atmospheric Water Vapor, Precipitation, Brightness Temperature | |
| Cross validation of active and passive microwave snowfall products over the continental United States | Mroz, Kamil, Montopoli, Mario, Battaglia, Alessandro, Panegrossi, Giulia, Kirstetter, Pierre, Baldini, Luca | Atmospheric Water Vapor, Precipitation, RADAR | |
| The NASA-JAXA Global Precipitation Measurement mission part II: New frontiers in precipitation science | Watters, Daniel, Battaglia, Alessandro | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain, Atmospheric Water Vapor | |
| SHARPEN: A scheme to restore the distribution of averaged precipitation fields | Tan, Jackson, Huffman, George J., Bolvin, David T., Nelkin, Eric J., Rajagopal, Manikandan | Atmospheric Water Vapor, Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| The physics of extreme rainfall event: An investigation with multisatellite observations and numerical simulations | Meenu, S., Gayatri, K., Malap, Neelam, Murugavel, P., Samanta, Soumya, Prabha, Thara V. | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain, Atmospheric Water Vapor | |
| Sensitivity of 89190-GHz microwave observations to ice particle scattering | Chen, Ruiyao, Bennartz, Ralf | Atmospheric Water Vapor, Precipitation | |
| 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 | |
| Enhancing PMW satellite precipitation estimation: Detecting convective class | Petkovic, Veljko, Orescanin, Marko, Kirstetter, Pierre, Kummerow, Christian, Ferraro, Ralph | Atmospheric Water Vapor, Precipitation, RADAR | |
| 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 |
Variables
The table below lists the variables contained within a single granule for this dataset. Variables often contain observed or derived geophysical measurements collected from a variety of sources, including remote sensing instruments on satellite and airborne platforms, field campaigns, in situ measurements, and model outputs. The terms variable, parameter, scientific data set, layer, and band have been used across NASA’s Earth science disciplines; however, variable is the designated nomenclature in NASA’s Common Metadata Repository (CMR). Variable metadata attributes such as Name, Description, Units, Data Type, Fill Value, Valid Range, and Scale Factor allow users to efficiently process and analyze the data. The full range of attributes may not be applicable to all variables. Additional information on variable attributes is typically available in the data, user guide, and/or other product documentation.
For questions on a specific variable, please use the Earthdata Forum.
| Name Sort descending | Description | Units | Data Type | Fill Value | Valid Range | Scale Factor | Offset |
|---|---|---|---|---|---|---|---|
| AlgorithmRuntimeInfo | AlgorithmRuntimeInfo | N/A | OTHER | N/A | N/A | N/A | N/A |
| KuGMI/airPressure | KuGMI/airPressure | hPa | float32 | -9999.900390625 | N/A | N/A | N/A |
| KuGMI/airTemperature | KuGMI/airTemperature | K | float32 | -9999.900390625 | N/A | N/A | N/A |
| KuGMI/aPriori/initPrecipTotDm | KuGMI/aPriori/initPrecipTotDm | mm | float32 | -9999.900390625 | N/A | N/A | N/A |
| KuGMI/aPriori/initPrecipTotLogNw | KuGMI/aPriori/initPrecipTotLogNw | log10(m-4) | float32 | -9999.900390625 | N/A | N/A | N/A |
| KuGMI/aPriori/profClass | KuGMI/aPriori/profClass | N/A | int32 | -9999 | N/A | N/A | N/A |
| KuGMI/cloudIceWaterCont | KuGMI/cloudIceWaterCont | g/m^3 | float32 | -9999.900390625 | N/A | N/A | N/A |
| KuGMI/cloudLiqWaterCont | KuGMI/cloudLiqWaterCont | g/m^3 | float32 | -9999.900390625 | N/A | N/A | N/A |
| KuGMI/correctedReflectFactor | KuGMI/correctedReflectFactor | dBZ | float32 | -9999.900390625 | N/A | N/A | N/A |
| KuGMI/envParamNode | KuGMI/envParamNode | N/A | int16 | -9999 | N/A | N/A | N/A |
| KuGMI/estimSurfPrecipLiqRate | KuGMI/estimSurfPrecipLiqRate | mm/hr | float32 | -9999.900390625 | N/A | N/A | N/A |
| KuGMI/estimSurfPrecipTotRate | KuGMI/estimSurfPrecipTotRate | mm/hr | float32 | -9999.900390625 | N/A | N/A | N/A |
| KuGMI/estimSurfPrecipTotRateSigma | KuGMI/estimSurfPrecipTotRateSigma | mm/hr | float32 | -9999.900390625 | N/A | N/A | N/A |
| KuGMI/FLG/estimPrecipInClutter | KuGMI/FLG/estimPrecipInClutter | N/A | int16 | -9999 | N/A | N/A | N/A |
| KuGMI/FLG/ioQuality | KuGMI/FLG/ioQuality | N/A | int32 | -9999 | N/A | N/A | N/A |
| KuGMI/FLG/multiScatCalc | KuGMI/FLG/multiScatCalc | N/A | int32 | -9999 | N/A | N/A | N/A |
| KuGMI/FLG/scanPatternFlag | KuGMI/FLG/scanPatternFlag | N/A | int16 | -9999 | N/A | N/A | N/A |
| KuGMI/Input/ellipsoidBinOffset | KuGMI/Input/ellipsoidBinOffset | m | float32 | -9999.900390625 | N/A | N/A | N/A |
| KuGMI/Input/localZenithAngle | KuGMI/Input/localZenithAngle | degree | float32 | -9999.900390625 | N/A | N/A | N/A |
| KuGMI/Input/lowestClutterFreeBin | KuGMI/Input/lowestClutterFreeBin | N/A | int16 | -9999 | N/A | N/A | N/A |
| KuGMI/Input/piaEffective | KuGMI/Input/piaEffective | dB | float32 | -9999.900390625 | N/A | N/A | N/A |
| KuGMI/Input/piaEffectiveReliabFlag | KuGMI/Input/piaEffectiveReliabFlag | N/A | int16 | -9999 | N/A | N/A | N/A |
| KuGMI/Input/piaEffectiveSigma | KuGMI/Input/piaEffectiveSigma | dB | float32 | -9999.900390625 | N/A | N/A | N/A |
| KuGMI/Input/precipitationFlag | KuGMI/Input/precipitationFlag | N/A | int32 | -9999 | N/A | N/A | N/A |
| KuGMI/Input/precipitationType | KuGMI/Input/precipitationType | N/A | int32 | -9999 | N/A | N/A | N/A |
| KuGMI/Input/precipTypeQualityFlag | KuGMI/Input/precipTypeQualityFlag | N/A | int32 | -9999 | N/A | N/A | N/A |
| KuGMI/Input/sigmaZeroMeasured | KuGMI/Input/sigmaZeroMeasured | dB | float32 | -9999.900390625 | N/A | N/A | N/A |
| KuGMI/Input/snowIceCover | KuGMI/Input/snowIceCover | N/A | int32 | -9999 | N/A | N/A | N/A |
| KuGMI/Input/stormTopAltitude | KuGMI/Input/stormTopAltitude | m | float32 | -9999.900390625 | N/A | N/A | N/A |
| KuGMI/Input/stormTopBin | KuGMI/Input/stormTopBin | N/A | int16 | -9999 | N/A | N/A | N/A |
| KuGMI/Input/surfaceElevation | KuGMI/Input/surfaceElevation | m | float32 | -9999.900390625 | N/A | N/A | N/A |
| KuGMI/Input/surfaceRangeBin | KuGMI/Input/surfaceRangeBin | N/A | int16 | -9999 | N/A | N/A | N/A |
| KuGMI/Input/surfaceType | KuGMI/Input/surfaceType | N/A | int32 | -9999 | N/A | N/A | N/A |
| KuGMI/Input/zeroDegAltitude | KuGMI/Input/zeroDegAltitude | m | float32 | -9999.900390625 | N/A | N/A | N/A |
| KuGMI/Input/zeroDegBin | KuGMI/Input/zeroDegBin | N/A | int16 | -9999 | N/A | N/A | N/A |
| KuGMI/Latitude | KuGMI/Latitude | degrees | float32 | -9999.900390625 | N/A | N/A | N/A |
| KuGMI/Longitude | KuGMI/Longitude | degrees | float32 | -9999.900390625 | N/A | N/A | N/A |
| KuGMI/lowestEstimateBin | KuGMI/lowestEstimateBin | N/A | int16 | -9999 | N/A | N/A | N/A |
| KuGMI/lowestUnclutteredBin | KuGMI/lowestUnclutteredBin | N/A | int16 | -9999 | N/A | N/A | N/A |
| KuGMI/multiScatMaxContrib | KuGMI/multiScatMaxContrib | dB | float32 | -9999.900390625 | N/A | N/A | N/A |
| KuGMI/navigation/dprAlt | KuGMI/navigation/dprAlt | m | float32 | -9999.900390625 | N/A | N/A | N/A |
| KuGMI/navigation/greenHourAng | KuGMI/navigation/greenHourAng | degrees | float32 | -9999.900390625 | N/A | N/A | N/A |
| KuGMI/navigation/scAlt | KuGMI/navigation/scAlt | m | float32 | -9999.900390625 | N/A | N/A | N/A |
| KuGMI/navigation/scAttPitchGeoc | KuGMI/navigation/scAttPitchGeoc | degrees | float32 | -9999.900390625 | N/A | N/A | N/A |
| KuGMI/navigation/scAttPitchGeod | KuGMI/navigation/scAttPitchGeod | degrees | float32 | -9999.900390625 | N/A | N/A | N/A |
| KuGMI/navigation/scAttRollGeoc | KuGMI/navigation/scAttRollGeoc | degrees | float32 | -9999.900390625 | N/A | N/A | N/A |
| KuGMI/navigation/scAttRollGeod | KuGMI/navigation/scAttRollGeod | degrees | float32 | -9999.900390625 | N/A | N/A | N/A |
| KuGMI/navigation/scAttYawGeoc | KuGMI/navigation/scAttYawGeoc | degrees | float32 | -9999.900390625 | N/A | N/A | N/A |
| KuGMI/navigation/scAttYawGeod | KuGMI/navigation/scAttYawGeod | degrees | float32 | -9999.900390625 | N/A | N/A | N/A |
| KuGMI/navigation/scHeadingGround | KuGMI/navigation/scHeadingGround | degrees | float32 | -9999.900390625 | N/A | N/A | N/A |