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 Older versions will no longer be available and have been superseded by Version 07.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 |
|---|---|---|---|
| Earth Observations for Anticipatory Action: Case Studies in Hydrometeorological Hazards | Kruczkiewicz, Andrew, McClain, Shanna, Bell, Veronica, Warrick, Olivia, Bazo, Juan, Mason, Jesse, Vergara, Humberto, Horna, Natalia | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Combining CMIP data with a regional convection-permitting model and observations to project extreme rainfall under climate change | Klein, Cornelia, Jackson, Lawrence S, Parker, Douglas J, Marsham, John H, Taylor, Christopher M, Rowell, David P, Guichard, Francoise, Vischel, Theo, Famien, Adjoua Moise, Diedhiou, Arona | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Addressing hydrological modeling in watersheds under land cover change with deep learning | Althoff, Daniel, Rodrigues, Lineu Neiva, Silva, Demetrius David da | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Aircraft observations and subkm modelling of the lakeland breeze circulation over Lake Victoria | Woodhams, Beth J., Barrett, Paul A., Marsham, John H., Birch, Cathryn E., Bain, Caroline L., Fletcher, Jennifer K., Hartley, Andrew J., Webster, Stuart, Mangeni, Solomon | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| A satellite-based investigation into the algae bloom variability in large water supply urban reservoirs during COVID-19 lockdown | Alcantara, Enner, Coimbra, Keyla, Ogashawara, Igor, Rodrigues, Thanan, Mantovani, Jose, Rotta, Luiz Henrique, Park, Edward, Fernandes Cunha, Davi Gasparini | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain, Tropopause, Surface Pressure, Air Temperature, Upper Air Temperature, Total Precipitable Water, Water Vapor, Cloud Height, Cloud Top Pressure, Cloud Top Temperature, Cloud Vertical Distribution, Emissivity, Sea Surface Temperature, Skin Temperature, Carbon Monoxide, Geopotential Height, Humidity, Water Vapor Profiles, Cloud Liquid Water/Ice, Outgoing Longwave Radiation, Methane, Atmospheric Ozone | |
| A phytolith supported biosphere-hydrosphere predictive model for Southern Ethiopia: Insights into paleoenvironmental changes and human landscape preferences since the last glacial maximum | Fischer, Markus L., Bachofer, Felix, Yost, Chad L., Bludau, Ines J. E., Schepers, Christian, Foerster, Verena, Lamb, Henry, Schabitz, Frank, Asrat, Asfawossen, Trauth, Martin H., Junginger, Annett | Land Use/Land Cover Classification, Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| A new method for assessing satellite-based hydrological data products using water budget closure | Luo, Zengliang, Shao, Quanxi, Wan, Wei, Li, Huan, Chen, Xi, Zhu, Siyu, Ding, Xiangyi | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain, 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, Air Temperature, Specific Humidity, Wind Speed, Snow Cover, Snow Depth | |
| An IMERG-Based Optimal Extended Probabilistic Climatology (EPC) as a Benchmark Ensemble Forecast for Precipitation in the Tropics and Subtropics | Walz, EvaMaria, Maranan, Marlon, van der Linden, Roderick, Fink, Andreas H., Knippertz, Peter | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Assessment of groundwater recharge along the Guarani aquifer system outcrop zone in Sao Paulo State (Brazil): an important tool towards integrated management | Santarosa, Lucas Vituri, Gastmans, Didier, Sitolini, Tatiana Penteado, Kirchheim, Roberto Eduardo, Betancur, Sebastian Balbin, de Oliveira, Marcelo E. Dias, Campos, Jose Claudio Viegas, Manzione, Rodrigo Lilla | Surface Pressure, Heat Flux, Longwave Radiation, Shortwave Radiation, Surface Temperature, Humidity, Evapotranspiration, Surface Winds, Rain, Precipitation Rate, Snow, Soil Moisture/Water Content, Soil Temperature, Land Surface Temperature, Snow Water Equivalent, Runoff, Precipitation, Precipitation Amount, Total Surface Precipitation Rate | |
| Assessment of WRF Model Parameter Sensitivity for High-Intensity | Chinta, Sandeep, Yaswanth Sai, J., Balaji, C. | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain, Total Surface Precipitation Rate | |
| Assessment of the simulated aerosol optical properties and regional meteorology using WRF-Chem model | Ali, Gohar, Bao, Yansong, Asmerom, Birhanu, Ullah, Waheed, Ullah, Safi, Arshad, Muhammad | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Ambiguous agricultural drought: Characterising soil moisture and vegetation droughts in europe from earth observation | van Hateren, Theresa C., Chini, Marco, Matgen, Patrick, Teuling, Adriaan J. | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain, Land Surface/Agriculture Indicators, Drought Indices, Satellite Soil Moisture Index, Soil Moisture/Water Content, Root Zone Soil Moisture | |
| An Improved Method for Automatic Identification and Assessment of | Luo, Shuran, Feng, Guangcai, Xiong, Zhiqiang, Wang, Haiyan, Zhao, Yinggang, Li, Kaifeng, Deng, Kailiang, Wang, Yuexin | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Atmospheric Rivers and Mei-yu Rainfall in China: A Case Study of Summer 2020 | Wang, Ting, Wei, Ke, Ma, Jiao | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| CCI+ SSS, A New SMOS L2 Reprocessing Reduces Errors on Sea Surface Salinity Time Series | Perrot, X., Boutin, J., Vergely, J. L., Rouffi, F., Martin, A., Guimbard, S., Koehler, J., Reul, N., Catany, R., Cipollini, P., Sabia, R. | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Characteristics of convective precipitation over tropical Africa in stormresolving global simulations | Becker, Tobias, Bechtold, Peter, Sandu, Irina | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Characteristics of rainfall over Jakarta and its surroundings observed by Global Precipitation Measurement (GPM)-IMERG data | Lestari, Sopia, Syamsudin, Fadli, Widiyastuti, Yulia | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Cloud-Resolving-Model Simulations of Nocturnal Precipitation over the Himalayan Slopes and Foothills | Sugimoto, Shiori, Ueno, Kenichi, Fujinami, Hatsuki, Nasuno, Tomoe, Sato, Tomonori, Takahashi, Hiroshi G. | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Capturing the footprints of ground motion in the spatial distribution of rainfall-induced landslides | Tanyas, Hakan, Kirschbaum, Dalia, Lombardo, Luigi | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Comparative climatology of outer tropical cyclone size using radial wind profiles | Perez-Alarcon, Albenis, Sori, Rogert, Fernandez-Alvarez, Jose C., Nieto, Raquel, Gimeno, Luis | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Forest Canopy Changes in the Southern Amazon during the 2019 Fire Season | Zhang, Huixian, Hagan, Daniel Fiifi Tawia, Dalagnol, Ricardo, Liu, Yi | Reflectance, Snow Grain Size, Snow Cover, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain, Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Land Use/Land Cover Classification, Burned Area | |
| Flood mitigation in the transboundary chenab river basin: A basin-wise approach from flood forecasting to management | Ali, Sikandar, Cheema, Muhammad, Waqas, Muhammad, Waseem, Muhammad, Leta, Megersa, Qamar, Muhammad, Awan, Usman, Bilal, Muhammad, Rahman, Muhammad | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain, Total Surface Precipitation Rate | |
| Error Characteristics and Scale Dependence of Current Satellite | Zhang, Yuhang, Ye, Aizhong, Nguyen, Phu, Analui, Bita, Sorooshian, Soroosh, Hsu, Kuolin | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Evaluating South African Weather Service information on Idai tropical cyclone and KwaZulu- Natal flood events | Bopape, Mary-Jane M., Sebego, Ezekiel, Ndarana, Thando, Maseko, Bathobile, Netshilema, Masindi, Gijben, Morne, Landman, Stephanie, Phaduli, Elelwani, Rambuwani, Gift, Van Hemert, Louis, Mkhwanazi, Musa | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Evaluation of 18 satellite-and model-based soil moisture products using in situ measurements from 826 sensors | Beck, Hylke E., Pan, Ming, Miralles, Diego G., Reichle, Rolf H., Dorigo, Wouter A., Hahn, Sebastian, Sheffield, Justin, Karthikeyan, Lanka, Balsamo, Gianpaolo, Parinussa, Robert M., van Dijk, Albert I. J. M., Du, Jinyang, Kimball, John S., Vergopolan, Noemi, Wood, Eric F. | Surface Pressure, Heat Flux, Longwave Radiation, Shortwave Radiation, Surface Temperature, Humidity, Evapotranspiration, Surface Winds, Rain, Precipitation Rate, Snow, Soil Moisture/Water Content, Soil Temperature, Land Surface Temperature, Snow Water Equivalent, Runoff, Precipitation, Precipitation Amount, Vegetation Water Content, Skin Temperature, Surface Soil Moisture |