Climatology Meteorology Atmosphere
TRMM/PR L3 Monthly Rainfall is obtained from the PR sensor onboard TRMM and produced by the Japan Aerospace Exploration Agency (JAXA). The Precipitation Radar (PR) is the primary instrument onboard TRMM. The most innovative of the five TRMM instruments, the PR is the first quantitative rain radar instrument to be flown in space. The major objectives of the PR instrument are as follows:a. Provides a 3-dimensional rainfall structureb. Achieves quantitative measurements of the rain rates over both land and ocean When properly combined with TMI measurements, the Precipitation Radar (PR) data is instrumental in obtaining the height profile of the precipitation content, from which the profile of latent heat release from the Earth can be estimated. The rain rate is estimated from the radar reflectivity factor when the rain rate is small by applying conventional algorithms used for ground-based radar. For large rain rates, a rain attenuation correction is made using the total-path attenuation of land or sea surface echoes.Monthly average of rain parameter at the height of 2, 4, 6, (10, 15) km in lon./lat. 5deg x 5deg and 0.5deg x 0.5deg region using TRMM/PR 1C21, 2A21, 2A23 and 2A25. (* 10,15km data are available only for 5deg x 5deg gridded region.The provided format is HDF4. The statistical period is 1 month. The current version of the product is Version 7. The generation unit is global.
TRMM/PR L3 Monthly Rainfall
The user is entitled to use G-Portal data free of charge without any restrictions (including commercial use) except for the condition about acknowledgement of data credit as stipulated in G-portal terms of use 7.(2).Click [here](https://gportal.jaxa.jp/gpr/index/eula?lang=en) for detailed G-Portal data usage constrains.
EARTH SCIENCE>ATMOSPHERE
EARTH SCIENCE>ATMOSPHERE>PRECIPITATION
TRMM
PR
No constraints but users need to be registered with [the G-portal User Registration system](https://gportal.jaxa.jp/gpr/user/regist1?lang=en) to download files.
EARTH SCIENCE
ATMOSPHERE
PRECIPITATION
Japan Aerospace Exploration Agency (JAXA)
JAPAN
JP/JAXA/SAOC

Climatology Meteorology Atmosphere
TRMM/PR L1 Reflectiveities is obtained from the PR sensor onboard TRMM and produced by the Japan Aerospace Exploration Agency (JAXA). The Precipitation Radar (PR) is the primary instrument onboard TRMM. The most innovative of the five TRMM instruments, the PR is the first quantitative rain radar instrument to be flown in space. The major objectives of the PR instrument are as follows:a. Provides a 3-dimensional rainfall structureb. Achieves quantitative measurements of the rain rates over both land and ocean When properly combined with TMI measurements, the Precipitation Radar (PR) data is instrumental in obtaining the height profile of the precipitation content, from which the profile of latent heat release from the Earth can be estimated. The rain rate is estimated from the radar reflectivity factor when the rain rate is small by applying conventional algorithms used for ground-based radar. For large rain rates, a rain attenuation correction is made using the total-path attenuation of land or sea surface echoes.In PR Level 1 processing, Level 0 transmitted from NASA data is checked whether it is in an observation mode, and then three types of products are processed which are 1A21, 1B21, and 1C21. Moreover received power, noise level, Z factor including rain attenuation is calculated. However, 1A21 is actually processed within a same routine as 1B21, so 1A21 itself is not singly output. In 1C21 processing, the dummy radar reflectivity factor (Z factor: Zm) including rain attenuation during a rainfall is calculated using the radar equation, from the already calibrated received power value and noise level value calculated in the 1B21 processing.The provided format is HDF4. The Sampling resolution are 5km (horizontal) and 250m (range). The current version of the product is Version 7. The generation unit is orbit.
TRMM/PR L1 Reflectiveities
The user is entitled to use G-Portal data free of charge without any restrictions (including commercial use) except for the condition about acknowledgement of data credit as stipulated in G-portal terms of use 7.(2).Click [here](https://gportal.jaxa.jp/gpr/index/eula?lang=en) for detailed G-Portal data usage constrains.
EARTH SCIENCE>SPECTRAL/ENGINEERING>RADAR
TRMM
PR
No constraints but users need to be registered with [the G-portal User Registration system](https://gportal.jaxa.jp/gpr/user/regist1?lang=en) to download files.
EARTH SCIENCE
SPECTRAL/ENGINEERING
RADAR
Japan Aerospace Exploration Agency (JAXA)
JAPAN
JP/JAXA/SAOC

Climatology Meteorology Atmosphere
TRMM_GPMFormat/PR L3 Precipitaion (1-Day,0.1deg) dataset is the new (GPM-formated) TRMM product. There is no equivalent in the old TRMM suite of products. The closest ancestor was TRMM 3A25 which was a monthly radar statistic. It is obtained from the Precipitation Radar (PR) sensor onboard Tropical Rainfall Measuring Mission (TRMM) Core Satellite and produced by the Japan Aerospace Exploration Agency (JAXA).The most innovative of the five TRMM instruments, the PR is the first quantitative rain radar instrument to be flown in space. The major objectives of the PR instrument are as follows:a. Provides a 3-dimensional rainfall structureb. Achieves quantitative measurements of the rain rates over both land and ocean When properly combined with TMI measurements, the Precipitation Radar (PR) data is instrumental in obtaining the height profile of the precipitation content, from which the profile of latent heat release from the Earth can be estimated. The rain rate is estimated from the radar reflectivity factor when the rain rate is small by applying conventional algorithms used for ground-based radar. For large rain rates, a rain attenuation correction is made using the total-path attenuation of land or sea surface echoes.This dataset calculates various daily statistics from the level 2 PR. Four types of statistics are calculated: Probabilities of occurrence (count values), Means and standard deviationsThe provided format is TEXT. The Sampling resolution is 0.1degree grid (Daily TEXT). The current version of the product is Version 6. The generation unit is global.
TRMM_GPMFormat/PR L3 Precipitaion (1-Day,0.1deg)
The user is entitled to use G-Portal data free of charge without any restrictions (including commercial use) except for the condition about acknowledgement of data credit as stipulated in G-portal terms of use 7.(2).Click [here](https://gportal.jaxa.jp/gpr/index/eula?lang=en) for detailed G-Portal data usage constrains.
EARTH SCIENCE>ATMOSPHERE
EARTH SCIENCE>ATMOSPHERE>PRECIPITATION
TRMM
PR
No constraints but users need to be registered with [the G-portal User Registration system](https://gportal.jaxa.jp/gpr/user/regist1?lang=en) to download files.
EARTH SCIENCE
ATMOSPHERE
PRECIPITATION
Japan Aerospace Exploration Agency (JAXA)
JAPAN
JP/JAXA/SAOC

TRMM/PR L3 Gridded Orbital Spectral Latent Heating is obtained from the PR sensor onboard TRMM and produced by the Japan Aerospace Exploration Agency (JAXA). The Precipitation Radar (PR) is the primary instrument onboard TRMM. The most innovative of the five TRMM instruments, the PR is the first quantitative rain radar instrument to be flown in space. The major objectives of the PR instrument are as follows:a. Provides a 3-dimensional rainfall structureb. Achieves quantitative measurements of the rain rates over both land and ocean When properly combined with TMI measurements, the Precipitation Radar (PR) data is instrumental in obtaining the height profile of the precipitation content, from which the profile of latent heat release from the Earth can be estimated. The rain rate is estimated from the radar reflectivity factor when the rain rate is small by applying conventional algorithms used for ground-based radar. For large rain rates, a rain attenuation correction is made using the total-path attenuation of land or sea surface echoes. Latent heating, Q1-QR, and Q2 profiles derived from TRMM/PR 2H25. The spatial coverage is one orbit with a single grid cell being 0.5deg x 0.5deg.The provided format is HDF4. The statistical period is 1 month. The current version of the product is Version 7. The generation unit is global.
TRMM/PR L3 Gridded Orbital Spectral Latent Heating
EARTH SCIENCE>ATMOSPHERE
EARTH SCIENCE>ATMOSPHERE>ATMOSPHERIC RADIATION
ATMOSPHERE
ATMOSPHERIC RADIATION

TRMM_GPMFormat/PR/KuPR L1B Received Power dataset is the new (GPM-formated) TRMM product and replaces the old TRMM_1B21,1C21. It is obtained from the Precipitation Radar (PR) sensor onboard Tropical Rainfall Measuring Mission (TRMM) Core Satellite and produced by the Japan Aerospace Exploration Agency (JAXA).The most innovative of the five TRMM instruments, the PR is the first quantitative rain radar instrument to be flown in space. The major objectives of the PR instrument are as follows:a. Provides a 3-dimensional rainfall structureb. Achieves quantitative measurements of the rain rates over both land and ocean When properly combined with TMI measurements, the Precipitation Radar (PR) data is instrumental in obtaining the height profile of the precipitation content, from which the profile of latent heat release from the Earth can be estimated. The rain rate is estimated from the radar reflectivity factor when the rain rate is small by applying conventional algorithms used for ground-based radar. For large rain rates, a rain attenuation correction is made using the total-path attenuation of land or sea surface echoes.This dataset calculates the received power at the PR receiver input point from the Level-0 count value which is linearly proportional to the logarithm of the PR receiver output power. To convert the count value to the input power, extensive internal calibrations are applied, which are mainly based upon the system model, temperature dependence of model parameters and many temperature sensors attached at various locations of the PR. The provided format is HDF5. The Sampling resolution are 5 km (horizontal) and 250 m (vertical). The current version of the product is Version 5A. The generation unit is one orbit.
TRMM_GPMFormat/PR/KuPR L1B Received Power
EARTH SCIENCE>SPECTRAL/ENGINEERING>RADAR
SPECTRAL/ENGINEERING
RADAR

TRMM_GPMFormat/PR L3 Precipitaion (1-Month,0.25deg) dataset is the new (GPM-formated) TRMM product. This is the new (GPM-formated) TRMM product. It replaces the old TRMM 3A25, 3A26. It is obtained from the Precipitation Radar (PR) sensor onboard Tropical Rainfall Measuring Mission (TRMM) Core Satellite and produced by the Japan Aerospace Exploration Agency (JAXA).The most innovative of the five TRMM instruments, the PR is the first quantitative rain radar instrument to be flown in space. The major objectives of the PR instrument are as follows:a. Provides a 3-dimensional rainfall structureb. Achieves quantitative measurements of the rain rates over both land and ocean When properly combined with TMI measurements, the Precipitation Radar (PR) data is instrumental in obtaining the height profile of the precipitation content, from which the profile of latent heat release from the Earth can be estimated. The rain rate is estimated from the radar reflectivity factor when the rain rate is small by applying conventional algorithms used for ground-based radar. For large rain rates, a rain attenuation correction is made using the total-path attenuation of land or sea surface echoes.This dataset calculates various daily statistics from the level 2 PR. Four types of statistics are calculated: Probabilities of occurrence (count values), Means and standard deviations, Histograms, and Correlation coefficients.The provided format is HDF5. The Sampling resolution is 0.25 degree grid (Monthly HDF). The current version of the product is Version 6. The generation unit is global.
TRMM_GPMFormat/PR L3 Precipitaion (1-Month,0.25deg)
EARTH SCIENCE>ATMOSPHERE>PRECIPITATION
PRECIPITATION

TRMM_GPMFormat/PR L3 Spectral Latent Heating (1-Month,0.5deg) dataset is the new (GPM-formated) TRMM product. It replaces the old TRMM 3H25. It is obtained from the Precipitation Radar (PR) sensor onboard Tropical Rainfall Measuring Mission (TRMM) Core Satellite and produced by the Japan Aerospace Exploration Agency (JAXA).The most innovative of the five TRMM instruments, the PR is the first quantitative rain radar instrument to be flown in space. The major objectives of the PR instrument are as follows:a. Provides a 3-dimensional rainfall structureb. Achieves quantitative measurements of the rain rates over both land and ocean When properly combined with TMI measurements, the Precipitation Radar (PR) data is instrumental in obtaining the height profile of the precipitation content, from which the profile of latent heat release from the Earth can be estimated. The rain rate is estimated from the radar reflectivity factor when the rain rate is small by applying conventional algorithms used for ground-based radar. For large rain rates, a rain attenuation correction is made using the total-path attenuation of land or sea surface echoes.This dataset uses TRMM PR information [precipitation-top height (PTH), precipitation rates at the surface and melting level, and rain type] to select heating profiles from lookup tables. Heating-profile lookup tables for the three rain typesâconvective, shallow stratiform, and anvil rain (deep stratiform with a melting level) were derived from numerical simulations of tropical cloud systems from the Tropical Ocean and Global Atmosphere Coupled Ocean-Atmosphere Response Experiment (TOGA COARE) utilizing a cloud-resolving model (CRM). The provided format is HDF5. The Sampling resolution are 0.5degree grid. The statistical period is 1 month. The generation unit is global. The current version of the product is Version 6.
TRMM_GPMFormat/PR L3 Spectral Latent Heating (1-Month,0.5deg)

Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services
RAL Space, STFC Rutherford Appleton Laboratory, Harwell Campus
United Kingdom
CEDA
An experimental break-adjusted soil-moisture product has been generated by the ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci) project for the first time with their v06.1 data release. The product attempts to reduce breaks in the final CCI product by matching the statistics of the datasets between merging periods. At v06.1, the break-adjustment process (explained in Preimesberger et al. 2020) is applied only to the COMBINED product, using ERA5 soil moisture as a reference. The Soil Moisture CCI COMBINED dataset is one of three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) Climate Change Initiative (CCI) project. The product has been created by directly merging Level 2 scatterometer and radiometer soil moisture products derived from the AMI-WS, ASCAT, SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2, SMOS, SMAP, FY-3B and GPM satellite instruments. PASSIVE and ACTIVE products have also been created.The v06.1 COMBINED break-adjusted product, provided as global daily images in NetCDF-4 classic file format, presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. It is provided in volumetric units [m3 m-3] and covers the period (yyyy-mm-dd) 1978-11-01 to 2020-12-31. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document and Preimesberger et al. 2020. Additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project website.The data set should be cited using all of the following references:1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717â739, https://doi.org/10.5194/essd-11-717-20192. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.0013. Preimesberger, W., Scanlon, T., Su, C. -H., Gruber, A. and Dorigo, W., "Homogenization of Structural Breaks in the Global ESA CCI Soil Moisture Multisatellite Climate Data Record," in IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 4, pp. 2845-2862, April 2021, doi: 10.1109/TGRS.2020.3012896.
ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Experimental Break-Adjusted COMBINED Product, Version 06.1
Under the following licence appropriate use of these data may fall under any use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data were processed by the ESA CCI Soil Moisture project team and transferred to CEDA for the ESA CCI Open Data Portal Project
Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001
Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717â739, https://doi.org/10.5194/essd-11-717-2019
Preimesberger, W., Scanlon, T., Su, C. -H., Gruber, A. and Dorigo, W., "Homogenization of Structural Breaks in the Global ESA CCI Soil Moisture Multisatellite Climate Data Record," in IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 4, pp. 2845-2862, April 2021, doi: 10.1109/TGRS.2020.3012896.
EARTH SCIENCE>SPECTRAL/ENGINEERING>MICROWAVE
EARTH SCIENCE>SPECTRAL/ENGINEERING>RADAR
EARTH SCIENCE>AGRICULTURE>SOILS>SOIL MOISTURE/WATER CONTENT
Aqua
CORIOLIS
DMSP 5D-2/F8
DMSP 5D-2/F11
DMSP 5D-2/F13
METOP-A
METOP-B
SMOS
ERS WIND SCATTEROMETER
MIRAS
AMSR-E
ASCAT
SMMR
SSM/I
TMI
WINDSAT
Coriolis
Metop-A
Metop-B
AMI-SCAT
SMAP
AMSRE
WindSat
GMI
VIRR
AQUA
AMI/Scatterometer
Public data: access to these data is available to both registered and non-registered users.
ESA
Soil Moisture
CCI
Combined
orthoimagery
Unavailable

Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services
RAL Space, STFC Rutherford Appleton Laboratory, Harwell Campus
United Kingdom
CEDA
The Soil Moisture CCI COMBINED dataset is one of three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) Climate Change Initiative (CCI) project. The product has been created by directly merging Level 2 scatterometer and radiometer soil moisture products derived from the AMI-WS, ASCAT, SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2, SMOS, SMAP, FY-3B and GPM satellite instruments. PASSIVE and ACTIVE products have also been created.The v06.1 COMBINED product, provided as global daily images in NetCDF-4 classic file format, presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. It is provided in volumetric units [m3 m-3] and covers the period (yyyy-mm-dd) 1978-11-01 to 2020-12-31. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project website.The data set should be cited using the following references:1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717â739, https://doi.org/10.5194/essd-11-717-20192. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001
ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): COMBINED product, Version 06.1
Under the following licence appropriate use of these data may fall under any use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data were processed by the ESA CCI Soil Moisture project team and transferred to CEDA for the ESA CCI Open Data Portal Project
Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001
Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717â739, https://doi.org/10.5194/essd-11-717-2019
EARTH SCIENCE>SPECTRAL/ENGINEERING>MICROWAVE
EARTH SCIENCE>AGRICULTURE>SOILS>SOIL MOISTURE/WATER CONTENT
Aqua
CORIOLIS
METOP-A
METOP-B
SMOS
ERS WIND SCATTEROMETER
MIRAS
AMSR-E
ASCAT
SMMR
SSM/I
TMI
WINDSAT
Coriolis
Metop-A
Metop-B
AMI-SCAT
SMAP
AMSRE
WindSat
GMI
VIRR
AQUA
AMI/Scatterometer
Public data: access to these data is available to both registered and non-registered users.
ESA
Soil Moisture
CCI
Combined
orthoimagery
Unavailable

EC
Geoscientific Information
CLIMATE APPLICATIONS: Water cycle, energy cycle, carbon cycle, numerical Weather prediction, climatological extremes, trend analysis, hydrological and agricultural processes i.e. runoff generation, drought development, and irrigation. Data usage overview manuscript is currently under review for Remote Sensing of Environment. title: "ESA CCI Soil Moisture for improved Earth System understanding: state-of-the art and future directions"
EARTH SCIENCE>AGRICULTURE>SOILS>SOIL MOISTURE/WATER CONTENT
EARTH SCIENCE>SPECTRAL/ENGINEERING>MICROWAVE
Aqua
CORIOLIS
METOP-A
METOP-B
SMOS
AMSR-E
WINDSAT
SSM/I
ERS WIND SCATTEROMETER
ASCAT
SMMR
MIRAS
TMI
AQUA
WindSat
Metop-A
Metop-B
AMI/Scatterometer
Soil Moisture
ECV
Coriolis
AMI-SCAT