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Description

TMPA (3B43) dataset have been discontinued as of Dec. 31, 2019, and users are strongly encouraged to shift to the successor IMERG dataset (doi: 10.5067/GPM/IMERG/3B-MONTH/06).

The 3B43 dataset is the monthly version of the 3B42 dataset.

This product was created using TRMM-adjusted merged microwave-infrared precipitation rate (in mm/hr) and root-mean-square (RMS) precipitation-error estimates.
It provides a "best" precipitation estimate in a latitude band covering 50o N to 50o S, an expansion of the TRMM region, from all global data sources, namely high-quality microwave data, infrared data, and analyses of rain gauges. The granule size is one month.

Product Summary

Platforms
TMPA
Instruments
NOT APPLICABLE
Spatial Extent

N: 50 S: -50 E: 180 W: -180

Spatial Resolution
0.25 Decimal Degrees x 0.25 Decimal Degrees
Location
TROPICS
Coordinate System
CARTESIAN
Granule Spatial Representation
CARTESIAN
Temporal Extent
1998-01-01 to 2019-12-31
Data Partner
Goddard Earth Sciences Data and Information Services Center (formerly Goddard DAAC), Terrestrial Information Systems Laboratory, Earth Sciences Division, Science and Exploration Directorate, Goddard Space Flight Center, NASA (NASA/GSFC/SED/ESD/TISL/GESDI
Concept ID
C1282032631-GES_DISC
Data State
COMPLETE
Number of Files/Granules
264
Processing Level
3
Published
Updated
Science Keywords
Total Surface Precipitation Rate

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

Precipitation Processing System (PPS) At NASA GSFC. (2018). TRMM (TMPA/3B43) Rainfall Estimate L3 1 month 0.25 degree x 0.25 degree V7 [Data set]. NASA Goddard Earth Sciences Data and Information Services Center. https://doi.org/10.5067/TRMM/TMPA/MONTH/7 Date Accessed: 2026-05-15

Documents

Publications Citing This Dataset

Filters
Title Year Author Topic
Pantropical moist forests are converging towards a middle leaf longevity Xue, Meimei, Yang, Xueqin, Chen, Xiuzhi, Ciais, Philippe, Zhou, Liming, Reich, Peter B., Xiao, Jingfeng, Li, Xing, Xiao, Xiangming, Green, Julia K., Chen, Jing Ming, Liu, Jane, Shang, Jiali, Luo, Xiangzhong, Tian, Jie, Liu, Hui, Zhu, Peng, Yan, Kai, Fu, Xinyue, Han, Liusheng, Yuan, Wenping, Wu, Chaoyang Land Use/Land Cover Classification, Photosynthesis, Primary Production, Vegetation Productivity, Total Surface Precipitation Rate
The strength of coupling to the Southern Ocean modulates Tropical Eastern Pacific variability and forced response Espinosa, Zachary I., Zelinka, Mark D., Bitz, Cecilia M., Armour, Kyle C. Total Surface Precipitation Rate
A Dual-TransUNet Deep Learning Framework for Multi-Source Precipitation Merging and Improving Seasonal and Extreme Estimates Ye, Yuchen, Qi, Zixuan, Li, Shixuan, Qi, Wei, Cai, Yanpeng, Yuan, Chaoxia Total Surface Precipitation Rate
A scenario-based spatiotemporal approach for analyzing the climate change environmental impacts on the wheat production and food security in Iraq Abdulwahid, Waleed Mohammed, Feizizadeh, Bakhtiar, Blaschke, Thomas, Karimzadeh, Sadra Total Surface Precipitation Rate
Bayesian Model Averaging Method for Merging Multiple Precipitation Products over the Arid Region of Northwest China Yang, Yong, Chen, Rensheng, Lu, Xinyu, Mao, Weiyi, Liu, Zhangwen, Wang, Xueliang 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, Air Temperature, Specific Humidity, Wind Speed, Snow Cover, Snow Depth, Skin Temperature, Water Vapor, Snow/Ice, Evaporation, Latent Heat Flux, Latent Heat Flux, Sensible Heat Flux, Diffusion, Surface Winds, U/V Wind Components, Wind Stress, Wind Stress, Surface Roughness, Planetary Boundary Layer Height, Ice Fraction, Precipitation, Precipitation Amount, Total Surface Precipitation Rate
Advancing point-to-grid scale ET mapping: comparative assessment of ECOSTRESS and MODIS LST and ET across heterogeneous landscapes Park, Kijin, Baik, Jongjin, Kim, Kiyoung, Park, Jongmin Evapotranspiration, Latent Heat Flux, Geolocation, Land Use/Land Cover Classification, Land Surface Temperature, Emissivity, Clouds, Total Surface Precipitation Rate
Assessing NASA POWER and TerraClimate datasets for climate analysis and aridity characterization in Saiss basin, Morocco Dada, Saida, Tabyaoui, Fatima-Zahra, Boudad, Larbi, Sahbi, Hassane, Daghmoumi, Rachida, Oihrime, Anass, Aqnouy, Mourad Total Surface Precipitation Rate
Biased Aerosol Wet Deposition CAM5 Simulations: A Result of Misrepresented Convective-Stratiform Precipitation Partitioning When Benchmarked Against SPCAM Xia, Wenwen, He, Yujun, Wang, Bin Total Surface Precipitation Rate
Comparative analysis of spatial downscaling techniques for satellite-based precipitation data under varied topographic and climatic conditions Gillani, Syed Adeel Abrar, Zafar, M. Awais, Masood, Muhammad, Abrar, Zunaira, Bukhari, Fatima Total Surface Precipitation Rate
Climate Change and Its Economic Implications Awange, Joseph L. Total Surface Precipitation Rate
Enhancing Satellite Precipitation Product Accuracy for Hydrological and Environmental Analysis in Semi-Arid Urban Regions Heir, A. Vaezi, Salehi, E., Zand, A. Daryabeigi, Bidhendi, G. Nabi Total Surface Precipitation Rate
Satellite-based Rainfall Datasets: A Global Systematic Review of Applications, Accuracy, and Research Gaps Conte, Luiza Chiarelli, Tassi, Rutineia, Bayer, Debora Missio Total Surface Precipitation Rate
Spatial Downscaling of the CHIRPS Rainfall Product Using Machine Learning Methods: The CatamayoChira Transboundary Basin (Ecuador-Peru) Case Gaona, Jessica K., Duque, Luis-Felipe, Vazquez, Raul F., Ocana, Candy L. Total Surface Precipitation Rate
Evaluating and enhancing the performance of satellite precipitation products by considering uncertainty in rain gauge observations Wei, Tai, Zhong, Xian-Ci, Gao, Yang Total Surface Precipitation Rate
Runoff Modeling in Northern Tianshan Glacial Basins Based on Multi-Source Precipitation Products He, Jing, Zhang, Haoran, Guo, Chunmei, Huang, Tianyu, Wang, Chubo, Zhou, Qixiang, Song, Libing Total Surface Precipitation Rate
Integrated mapping of potential groundwater: the ErrachidiaMidelt transect in the central high Atlas, Morocco Bentahar, Ibtissame, Si Mhamdi, Hicham, Raji, Mohammed, Bentahar, Ilham, Hadimi, Ismail, Aqnouy, Mourad Total Surface Precipitation Rate
Performance Evaluation of Four Satellite-based Precipitation Products (SPPs) in Hydrological Modelling Across Five Northern Moroccan Catchments Et-Takaouy, Chaimaa, Aqnouy, Mourad, Coffin, Richard, En-Nagre, Khalid, Chahid, Morad, Stitou El Messari, Jamal Eddine Total Surface Precipitation Rate
Improved Remotely Sensed Satellite Products Awange, Joseph L. Total Surface Precipitation Rate
Improvement of Google Earth Engine-Based Multi-satellite Rainfall Estimation using Rain Gauge Data in South Sulawesi Ismail, Prayoga, Jatmiko, Retnadi Heru, Farda, Nur Mohammad, Munandar, Muhammad Arif Total Surface Precipitation Rate, Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain
Evaluation of BR-DWGD, CHIRPS and GPM-IMERG precipitation products: case study in the Ipojuca River Basin da S. Junior, Juarez A., Jovino, Estephania S., Neto, Alfredo R., de Oliveira, Leidjane M. M. Total Surface Precipitation Rate
Evaluation of long-term multiple satellite precipitation products under different climatic regions over Taiwan Sathianarayanan, Manikandan, Hsu, Pai-Hui Total Surface Precipitation Rate
Microphysical effects of biomass burning aerosols enhance rainfall in the El-Nino-Driven dryness over Southeast Asia Takeishi, Azusa, Wang, Chien Total Surface Precipitation Rate, Aerosol Backscatter, Aerosol Extinction, Aerosol Optical Depth/Thickness, Angstrom Exponent, Aerosol Particle Properties, Aerosol Radiance, Carbonaceous Aerosols, Cloud Condensation Nuclei, Dust/Ash/Smoke, Nitrate Particles, Organic Particles, Particulate Matter, Sulfate Particles, Trace Gases/Trace Species, Atmospheric Emitted Radiation, Emissivity, Optical Depth/Thickness, Radiative Flux, Reflectance, Transmittance, Atmospheric Stability, Humidity, Total Precipitable Water, Water Vapor Profiles, Cloud Condensation Nuclei, Cloud Droplet Concentration/Size, Cloud Liquid Water/Ice, Cloud Optical Depth/Thickness, Cloud Asymmetry, Cloud Ceiling, Cloud Frequency, Cloud Height, Cloud Top Pressure, Cloud Top Temperature, Cloud Vertical Distribution, Cloud Emissivity, Cloud Radiative Forcing, Cloud Reflectance, Rain Storms, Atmospheric Ozone
Uncertainty and quality assessment of satellite-based precipitation products using three-cornered hat method Fang, Miao, Ma, Chunfeng Total Surface Precipitation Rate
Enhanced Detection of Drought Events in Californias Central Valley Basin Using RauchTungStriebel Smoothed GRACE Level-2 Data: Mechanistic Insights from ClimateHydrology Interactions Feng, Yong, Qian, Nijia, Tong, Qingqing, Cao, Yu, Huan, Yueyang, Zhu, Yuhua, Yang, Dehu Total Surface Precipitation Rate
Enhanced precipitation prediction through the integration of gauge observations with satellite-based precipitation prediction models utilizing the Bayesian model ... Binti Mahmud, Husniyah, Osawa, Takahiro Total Surface Precipitation Rate, Precipitation, Rain, Precipitation Amount, Precipitation Rate, Snow
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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 Description Units Data Type Fill Value Valid Range Scale Factor Offset
Grid/gaugeRelativeWeighting Grid/gaugeRelativeWeighting percent int8 N/A N/A N/A N/A
Grid/precipitation Grid/precipitation mm/hr float32 N/A N/A N/A N/A
Grid/relativeError Grid/relativeError mm/hr float32 N/A N/A N/A N/A
nlat nlat degrees_north float32 N/A N/A N/A N/A
nlon nlon degrees_east float32 N/A N/A N/A N/A
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