N: 90 S: -90 E: 180 W: -180
Description
Version 07B is the current version of the IMERG data sets. Older versions will no longer be available and have been superseded by Version 07.
The Integrated Multi-satellitE Retrievals for GPM (IMERG) is the unified U.S. algorithm that provides the multi-satellite precipitation product for the U.S. GPM team.
The precipitation estimates from the various precipitation-relevant satellite passive microwave (PMW) sensors comprising the GPM constellation are computed using the 2021 version of the Goddard Profiling Algorithm (GPROF2021), then gridded, intercalibrated to the GPM Combined Ku Radar-Radiometer Algorithm (CORRA) product, and merged into half-hourly 0.1°x0.1° (roughly 10x10 km) fields. Note that CORRA is adjusted to the monthly Global Precipitation Climatology Project (GPCP) Satellite-Gauge (SG) product over high-latitude ocean to correct known biases.
The half-hourly intercalibrated merged PMW estimates are then input to both a Morphing-Kalman Filter (KF) Lagrangian time interpolation scheme based on work by the Climate Prediction Center (CPC) and the Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN) Dynamic Infrared–Rain Rate (PDIR) re-calibration scheme. In parallel, CPC assembles the zenith-angle-corrected, intercalibrated merged geo-IR fields and forwards them to PPS for input to the PERSIANN-CCS algorithm (supported by an asynchronous re-calibration cycle) which are then input to the KF morphing (quasi-Lagrangian time interpolation) scheme.
The KF morphing (supported by an asynchronous KF weights updating cycle) uses the PMW and IR estimates to create half-hourly estimates. Motion vectors for the morphing are computed by maximizing the pattern correlation of successive hours within each of the precipitation (PRECTOT), total precipitable liquid water (TQL), and vertically integrated vapor (TQV) data fields provided by the Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2) and Goddard Earth Observing System model Version 5 (GEOS-5) Forward Processing (FP) for the post-real-time (Final) Run and the near-real-time (Early and Late) Runs, respectively. The vectors from PRECTOT are chosen if available, else from TQL, if available, else from TQV. The KF uses the morphed data as the “forecast” and the IR estimates as the “observations”, with weighting that depends on the time interval(s) away from the microwave overpass time. The IR becomes important after about ±90 minutes away from the overpass time. Variable averaging in the KF is accounted for in a routine (Scheme for Histogram Adjustment with Ranked Precipitation Estimates in the Neighborhood, or SHARPEN) that compares the local histogram of KF morphed precipitation to the local histogram of forward- and backward-morphed microwave data and the IR.
The IMERG system is run twice in near-real time:
"Early" multi-satellite product ~4 hr after observation time using only forward morphing and
"Late" multi-satellite product ~14 hr after observation time, using both forward and backward morphing
and once after the monthly gauge analysis is received:
"Final", satellite-gauge product ~4 months after the observation month, using both forward and backward morphing and including monthly gauge analyses.
In V07, the near-real-time Early and Late half-hourly estimates have a monthly climatological concluding calibration based on averaging the concluding calibrations computed in the Final, while in the post-real-time Final Run the multi-satellite half-hourly estimates are adjusted so that they sum to the Final Run monthly satellite-gauge combination. In all cases the output contains multiple fields that provide information on the input data, selected intermediate fields, and estimation quality. In general, the complete calibrated precipitation, precipitation, is the data field of choice for most users.
Precipitation phase is a diagnostic variable computed using analyses of surface temperature, humidity, and pressure.
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Publications Citing This Dataset
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| Influence of water vapor distribution on the simulated track of Typhoon Hato (2017) | Chen, Jiaxin, Mai, Chuying, Zhou, Mingsen, Chen, Shumin, Li, Weibiao, Fang, Rong, Zhao, Zhongkuo | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Hurricane Scenario Generation for Uncertainty Modeling of Coastal and Inland Flooding | Kim, Kyoung Yoon, Wu, Wen-Ying, Kutanoglu, Erhan, Hasenbein, John J., Yang, Zong-Liang | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| How well do gridded precipitation and actual evapotranspiration products represent the key water balance components in the Nile Basin? | McNamara, Ian, Baez-Villanueva, Oscar M., Zomorodian, Ali, Ayyad, Saher, Zambrano-Bigiarini, Mauricio, Zaroug, Modathir, Mersha, Azeb, Nauditt, Alexandra, Mbuliro, Milly, Wamala, Sowed, Ribbe, Lars | Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux, Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain, Total Surface Precipitation Rate | |
| Impact of Fully Coupled Hydrology-Atmosphere Processes on Atmosphere | Li, Guangwei, Meng, Xianhong, Blyth, Eleanor, Chen, Hao, Shu, Lele, Li, Zhaoguo, Zhao, Lin, Ma, Yingsai | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Impact of Lightning Data Assimilation on the Short-Term Precipitation | Torcasio, Rosa Claudia, Federico, Stefano, Comellas Prat, Albert, Panegrossi, Giulia, D'Adderio, Leo Pio, Dietrich, Stefano | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Impact of the COVID-19 Lockdown on Air Quality and Resulting Public Health Benefits in the Mexico City Metropolitan Area | Hernandez-Paniagua, Ivan Y., Valdez, S. Ivvan, Almanza, Victor, Rivera-Cardenas, Claudia, Grutter, Michel, Stremme, Wolfgang, Garcia-Reynoso, Agustin, Ruiz-Suarez, Luis Gerardo | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Impacts of the MJO on Rainfall at Different Seasons in Indonesia | Permana, D S, Supari | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Inflating shallow plumbing system of Bezymianny volcano, Kamchatka, studied by InSAR and seismicity data prior to the 20 December 2017 eruption | Mania, Rene, Cesca, Simone, Walter, Thomas R., Koulakov, Ivan, Senyukov, Sergey L. | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Isolating Large-Scale Smoke Impacts on Cloud and Precipitation Processes Over the Amazon With Convection Permitting Resolution | Herbert, Ross, Stier, Philip, Dagan, Guy | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Kerala floods in consecutive years-Its association with mesoscale cloudburst and structural changes in monsoon clouds over the west coast of India | Vijaykumar, P., Abhilash, S., Sreenath, A.V., Athira, U.N., Mohanakumar, K., Mapes, B.E., Chakrapani, B., Sahai, A.K., Niyas, T.N., Sreejith, O.P. | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Satellite-Based Precipitation Datasets Evaluation Using Gauge | Peng, Jiabin, Liu, Tie, Huang, Yue, Ling, Yunan, Li, Zhengyang, Bao, Anming, Chen, Xi, Kurban, Alishir, De Maeyer, Philippe | Total Surface Precipitation Rate, Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Satellite tracking reveals nesting patterns, site fidelity, and potential impacts of warming on major green turtle rookeries in the Red Sea | Shimada, Takahiro, Duarte, Carlos M., Al-Suwailem, Abdulaziz M., Tanabe, Lyndsey K., Meekan, Mark G. | Emissivity, Land Surface Temperature, Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Results of the Dragon 4 Project on New Ocean Remote Sensing Data for | Gibert, Ferran, Boutin, Jacqueline, Dierking, Wolfgang, Granados, Alba, Li, Yan, Makhoul, Eduard, Meng, Junmin, Supply, Alexandre, Vendrell, Ester, Vergely, Jean-Luc, Wang, Jin, Yang, Jungang, Xiang, Kunsheng, Yin, Xiaobin, Zhang, Xi | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Representations of Precipitation Diurnal Cycle in the Amazon as Simulated by Observationally Constrained Cloud-System Resolving and Global Climate Models | Tai, ShengLun, Feng, Zhe, Ma, PoLun, Schumacher, Courtney, Fast, Jerome D. | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Regional meteoric water line of the Yucatan Peninsula, Mexico | Cejudo, Eduardo, AcostaGonzalez, Gilberto, LealBautista, Rosa M. | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Regional climate change impact on coastal tourism: A case study for the black sea coast of Russia | Kostianaia, Evgeniia, Kostianoy, Andrey | Heat Flux, Air Temperature, Skin Temperature, Specific Humidity, Water Vapor, Precipitation Rate, Snow/Ice, Evaporation, Latent Heat Flux, Latent Heat Flux, Sensible Heat Flux, Diffusion, Surface Winds, Wind Speed, U/V Wind Components, Wind Stress, Wind Stress, Surface Roughness, Planetary Boundary Layer Height, Ice Fraction, Heat Flux, Heat Flux, Heat Flux, Longwave Radiation, Longwave Radiation, Shortwave Radiation, Shortwave Radiation, Water Vapor Tendency, Water Vapor Flux, Cloud Dynamics, Cloud Microphysics, Precipitation, Sea Surface Skin Temperature, Skin Temperature, Surface Temperature, Upper Air Temperature, Atmospheric Winds, Surface Winds, Atmospheric Pressure, Sea Level Pressure, Surface Pressure, Total Precipitable Water, Cloud Liquid Water/Ice, Atmospheric Water Vapor, Atmospheric Ozone, Oxygen Compounds, Altitude, Boundary Layer Winds, Precipitation Amount, Snow, Rain | |
| Physical and Dynamical Characteristics of Thunderstorms Over Bangladesh Based on Radar, Satellite, Upper-Air Observations, and WRF Model Simulations | Rabbani, Khan MD. Golam, Das, Someshwar, Panda, S. K., Kabir, Alamgir, Mallik, Muhammad Abul Kalam | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Morphology of Rain Clusters Influencing Rainfall Intensity over Hainan | Huang, Tingting, Ding, Chenghui, Li, Weibiao, Chen, Yilun | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Probabilistic seasonal dengue forecasting in Vietnam: A modelling study using superensembles | Colon-Gonzalez, Felipe J., Soares Bastos, Leonardo, Hofmann, Barbara, Hopkin, Alison, Harpham, Quillon, Crocker, Tom, Amato, Rosanna, Ferrario, Iacopo, Moschini, Francesca, James, Samuel, Malde, Sajni, Ainscoe, Eleanor, Sinh Nam, Vu, Quang Tan, Dang, Duc Khoa, Nguyen, Harrison, Mark, Tsarouchi, Gina, Lumbroso, Darren, Brady, Oliver J., Lowe, Rachel | Population Size, Land Surface Temperature, Emissivity, Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Ranking of daily precipitation extreme events over oil pipelines in Rio | Amaral, ICF, Libonati, R, Palmeira, ACPA, Ramos, AM | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Quantitative Analysis of the Effects of an Earthquake on Rainfall | Liu, Shuang, Hu, Kaiheng, Zhang, Qun, Zhang, Shaojie, Hu, Xudong, Tang, Desheng | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Rain area detection in south-western kenya by using multispectral satellite data from meteosat second generation | Kingsley, Kumah K., Maathuis, Ben H. P., Hoedjes, Joost C. B., Rwasoka, Donald T., Retsios, Bas V., Su, Bob Z. | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain, Total Surface Precipitation Rate | |
| RAIN-F: A FUSION DATASET FOR RAINFALL PREDICTION USING CONVOLUTIONAL NEURAL NETWORK | Choi, Yeji, Cha, Keumgang, Back, Minyoung, Choi, Hyunguk, Jeon, Taegyun | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| RainBench: Towards Global Precipitation Forecasting from Satellite Imagery | Schroeder de Witt, Christian, Tong, Catherine, Zantedeschi, Valentina, De Martini, Daniele, Kalaitzis, Alfredo, Chantry, Matthew, Watson-Parris, Duncan, Bilinski, Piotr | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Recent hydrological evolutions of the Senegal River flood (West Africa) | Bruckmann, Laurent, Delbart, Nicolas, Descroix, Luc, Bodian, Ansoumana | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain |