Imagery Base Maps Earth Cover
GCOM-W/AMSR2 L3 Brightness Temperature (10Ghz) (1-Day,0.1 deg) dataset is obtained from the AMSR2 sensor onboard GCOM-W and produced by the Japan Aerospace Exploration Agency (JAXA). GCOM-W was launched by the H-IIA Launch Vehicle No. 21 (H-IIA F21) at 1:39 a.m. on May 18th, 2012 (Japan Standard Time, JST) and inserted into a planned position the "A-Train" orbit. GCOM-W equipped with AMSR2 takes measurements at multiple microwave frequencies and multiple polarizations of weak electromagnetic waves in the microwave band radiated from the Earthâs surface and the atmosphere. AMSR2 has swath of 1450 km and 7 microwave bands. The observation data will enable the creation of long-term trustworthy data sets of global physical amount. The Level 3 process uses as its inputs one day's worth of Level 1B data and Level 2 data and calculates, by taking a simple arithmetic mean, the daily statistical mean value at each grid point in the specified mapping projection method (either equi-rectangular or polar stereo). Furthermore, Level 3 processing takes one month's worth of each geophysical parameter's Level 3 daily statistical mean values and calculates the monthly statistical mean value at each grid point using a simple arithmetic mean in the same way as the daily statistical mean calculation. The statistical means are calculated separately for observations along the satellite's ascending and descending tracks. This product includes averaged Brightness Temperature at 10GHz (Brightness_Temperature_(H), Brightness_Temperature_(H)). Brightness Temperature is calculated from sensor counts and is proportional to the power of observed electromagnetic wave. They are expressed by the physical temperature of blackbody, which can emit the electromagnetic wave with the same power, and unit is Kelvin. Horizontal polarized wave and vertical polarized wave are stored separately. Missing value is 65535. When there is no geophysical data within observation swath, this value is set up when computing neither the case where the amount of geophysics is incomputable, nor the amount of geophysics. Error values are 65531 to 65534. It is outside observation swath data. The provided format is HDF5. The Sampling resolution is 0.1degree grid. The statistical period is 1 day. The current version of the product is Version 2. The Version 1 is also available. The projection method is EQR and PS. The generation unit is global.
GCOM-W/AMSR2 L3 Brightness Temperature (10Ghz) (1-Day,0.1 deg)
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>MICROWAVE
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
MICROWAVE
Japan Aerospace Exploration Agency (JAXA)
JAPAN
JP/JAXA/SAOC

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
Rutherford Appleton Laboratory, Harwell
United Kingdom
CEDA
The dataset provides a Climate Data Record of Sea Ice Concentration (SIC) for the polar regions, derived from medium resolution passive microwave satellite data from the Advanced Microwave Scanning Radiometer series (AMSR-E and AMSR-2). It is processed with an algorithm using coarse resolution (6 GHz and 37 GHz) imaging channels, and has been gridded at 50km grid spacing. This version of the product is v2.1, which is an extension of the version 2.0 Sea_Ice_cci dataset and has identical data until 2015-12-25.This product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea_Ice_CCI project. The EUMETSAT OSI SAF contributed with access and re-use of part of its processing software and facilities.A SIC CDR at 25km grid spacing is also available.
ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Sea Ice Concentration Climate Data Record from the AMSR-E and AMSR-2 instruments at 50km grid spacing, version 2.1
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 Sea Ice project team.Contribution of the EUMETSAT OSI SAF to the production of this dataset is acknowledged. EUMETSAT OSI SAF provided access and allowed re-use of its SIC reprocessing software and data hosting facilities. The reprocessing chain was further updated with the new algorithms and knowledge from the ESA CCI Sea Ice project. Data were supplied to CEDA in the context of the ESA CCI Open Data Portal Project
EARTH SCIENCE>OCEANS>SEA ICE
EARTH SCIENCE>OCEANS>SEA ICE>SEA ICE CONCENTRATION
EARTH SCIENCE>SPECTRAL/ENGINEERING>MICROWAVE
EARTH SCIENCE>CRYOSPHERE>SEA ICE
Aqua
AMSR-E
AMSRE
sea ice
sea ice concentration
Advanced Microwave Scanning Radiometer for Earth Observation from Space (AMSR-E)
Advanced Microwave Scanning Radiometer-2
day
Norwegian Meteorological Institute
EOS
GCOM
Level 4
AQUA
Public data: access to these data is available to both registered and non-registered users.
Sea Ice
ESA
CCI
Arctic
Antarctic
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
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
TRMM
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>RADAR
EARTH SCIENCE>AGRICULTURE>SOILS>SOIL MOISTURE/WATER CONTENT
Aqua
CORIOLIS
METOP-A
METOP-B
SMOS
TRMM
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
CORIOLIS
METOP-A
METOP-B
SMOS
TRMM
WINDSAT
SSM/I
ERS WIND SCATTEROMETER
ASCAT
SMMR
MIRAS
TMI
WindSat
Metop-A
Metop-B
AMI/Scatterometer
Soil Moisture
ECV
Coriolis
AMI-SCAT

Imagery Base Maps Earth Cover
GCOM-W/AMSR2 L3 Brightness Temperature (10Ghz) (1-Day,0.25 deg) dataset is obtained from the AMSR2 sensor onboard GCOM-W and produced by the Japan Aerospace Exploration Agency (JAXA). GCOM-W was launched by the H-IIA Launch Vehicle No. 21 (H-IIA F21) at 1:39 a.m. on May 18th, 2012 (Japan Standard Time, JST) and inserted into a planned position on the "A-Train" orbit. GCOM-W equipped with AMSR2 takes measurements at multiple microwave frequencies and multiple polarizations of weak electromagnetic waves in the microwave band radiated from the Earthâs surface and the atmosphere. AMSR2 has swath of 1450 km and 7 microwave bands. The observation data will enable the creation of long-term trustworthy data sets of global physical amount. The Level 3 process uses as its inputs one day's worth of Level 1B data and Level 2 data and calculates, by taking a simple arithmetic mean, the daily statistical mean value at each grid point in the specified mapping projection method (either equi-rectangular or polar stereo). Furthermore, Level 3 processing takes one month's worth of each geophysical parameter's Level 3 daily statistical mean values and calculates the monthly statistical mean value at each grid point using a simple arithmetic mean in the same way as the daily statistical mean calculation. The statistical means are calculated separately for observations along the satellite's ascending and descending tracks. This product includes averaged Brightness Temperature at 10GHz (Brightness_Temperature_(H), Brightness_Temperature_(H)) Standard Deviation (Standard_Deviation), Average Number (Average_Number) and Total Number (Total_Number). Brightness Temperature is calculated from sensor counts and is proportional to the power of observed electromagnetic wave. They are expressed by the physical temperature of blackbody, which can emit the electromagnetic wave with the same power, and unit is Kelvin. Horizontal polarized wave and vertical polarized wave are stored separately. Missing value is 65535. When there is no geophysical data within observation swath, this value is set up when computing neither the case where the amount of geophysics is incomputable, nor the amount of geophysics. Error values are 65531 to 65534. It is outside observation swath data. Standard_Deviation is standard deviation value for each pixel is stored. This item is only stored in monthly product. Average_Number is the number of valid physical quantity data (except error and missing) which was used to determine "Geophysical Data". Total_Number is the number of physical quantity data included in the grid (include valid and invalid). The provided format is HDF5. The Sampling resolution is 0.25degree grid. The statistical period is 1 day. The current version of the product is Version 2. The Version 1 is also available. The projection method is EQR and PS. The generation unit is global.
GCOM-W/AMSR2 L3 Brightness Temperature (10Ghz) (1-Day,0.25 deg)
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.
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
MICROWAVE
Japan Aerospace Exploration Agency (JAXA)
JAPAN
JP/JAXA/SAOC

Imagery Base Maps Earth Cover
GCOM-W/AMSR2 L3 Brightness Temperature (36Ghz) (1-Day,0.25 deg) dataset is obtained from the AMSR2 sensor onboard GCOM-W and produced by the Japan Aerospace Exploration Agency (JAXA). GCOM-W was launched by the H-IIA Launch Vehicle No. 21 (H-IIA F21) at 1:39 a.m. on May 18th, 2012 (Japan Standard Time, JST) and inserted into a planned position on the "A-Train" orbit. GCOM-W equipped with AMSR2 takes measurements at multiple microwave frequencies and multiple polarizations of weak electromagnetic waves in the microwave band radiated from the Earthâs surface and the atmosphere. AMSR2 has swath of 1450 km and 7 microwave bands. The observation data will enable the creation of long-term trustworthy data sets of global physical amount. The Level 3 process uses as its inputs one day's worth of Level 1B data and Level 2 data and calculates, by taking a simple arithmetic mean, the daily statistical mean value at each grid point in the specified mapping projection method (either equi-rectangular or polar stereo). Furthermore, Level 3 processing takes one month's worth of each geophysical parameter's Level 3 daily statistical mean values and calculates the monthly statistical mean value at each grid point using a simple arithmetic mean in the same way as the daily statistical mean calculation. The statistical means are calculated separately for observations along the satellite's ascending and descending tracks. This product includes averaged Brightness Temperature at 36GHz (Brightness_Temperature_(H), Brightness_Temperature_(H)) Standard Deviation (Standard_Deviation), Average Number (Average_Number) and Total Number (Total_Number). Brightness Temperature is calculated from sensor counts and is proportional to the power of observed electromagnetic wave. They are expressed by the physical temperature of blackbody, which can emit the electromagnetic wave with the same power, and unit is Kelvin. Horizontal polarized wave and vertical polarized wave are stored separately. Missing value is 65535. When there is no geophysical data within observation swath, this value is set up when computing neither the case where the amount of geophysics is incomputable, nor the amount of geophysics. Error values are 65531 to 65534. It is outside observation swath data. Standard_Deviation is standard deviation value for each pixel is stored. This item is only stored in monthly product. Average_Number is the number of valid physical quantity data (except error and missing) which was used to determine "Geophysical Data". Total_Number is the number of physical quantity data included in the grid (include valid and invalid). The provided format is HDF5. The Sampling resolution is 0.25degree grid. The statistical period is 1 day. The current version of the product is Version 2. The Version 1 is also available. The projection method is EQR and PS. The generation unit is global.
GCOM-W/AMSR2 L3 Brightness Temperature (36Ghz) (1-Day,0.25 deg)
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.
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
MICROWAVE
Japan Aerospace Exploration Agency (JAXA)
JAPAN
JP/JAXA/SAOC

GCOM-W/AMSR2 L3 Brightness Temperature (23Ghz) (1-Day,0.25 deg) dataset is obtained from the AMSR2 sensor onboard GCOM-W and produced by the Japan Aerospace Exploration Agency (JAXA). GCOM-W was launched by the H-IIA Launch Vehicle No. 21 (H-IIA F21) at 1:39 a.m. on May 18th, 2012 (Japan Standard Time, JST) and inserted into a planned position on the "A-Train" orbit. GCOM-W equipped with AMSR2 takes measurements at multiple microwave frequencies and multiple polarizations of weak electromagnetic waves in the microwave band radiated from the Earthâs surface and the atmosphere. AMSR2 has swath of 1450 km and 7 microwave bands. The observation data will enable the creation of long-term trustworthy data sets of global physical amount. The Level 3 process uses as its inputs one day's worth of Level 1B data and Level 2 data and calculates, by taking a simple arithmetic mean, the daily statistical mean value at each grid point in the specified mapping projection method (either equi-rectangular or polar stereo). Furthermore, Level 3 processing takes one month's worth of each geophysical parameter's Level 3 daily statistical mean values and calculates the monthly statistical mean value at each grid point using a simple arithmetic mean in the same way as the daily statistical mean calculation. The statistical means are calculated separately for observations along the satellite's ascending and descending tracks. This product includes averaged Brightness Temperature at 23GHz (Brightness_Temperature_(H), Brightness_Temperature_(H)) Standard Deviation (Standard_Deviation), Average Number (Average_Number) and Total Number (Total_Number). Brightness Temperature is calculated from sensor counts and is proportional to the power of observed electromagnetic wave. They are expressed by the physical temperature of blackbody, which can emit the electromagnetic wave with the same power, and unit is Kelvin. Horizontal polarized wave and vertical polarized wave are stored separately. Missing value is 65535. When there is no geophysical data within observation swath, this value is set up when computing neither the case where the amount of geophysics is incomputable, nor the amount of geophysics. Error values are 65531 to 65534. It is outside observation swath data. Standard_Deviation is standard deviation value for each pixel is stored. This item is only stored in monthly product. Average_Number is the number of valid physical quantity data (except error and missing) which was used to determine "Geophysical Data". Total_Number is the number of physical quantity data included in the grid (include valid and invalid). The provided format is HDF5. The Sampling resolution is 0.25degree grid. The statistical period is 1 day. The current version of the product is Version 2. The Version 1 is also available. The projection method is EQR and PS. The generation unit is global.

GCOM-W/AMSR2 L3 Brightness Temperature (36Ghz) (1-Month,0.25 deg) dataset is obtained from the AMSR2 sensor onboard GCOM-W and produced by the Japan Aerospace Exploration Agency (JAXA). GCOM-W was launched by the H-IIA Launch Vehicle No. 21 (H-IIA F21) at 1:39 a.m. on May 18th, 2012 (Japan Standard Time, JST) and inserted into a planned position on the "A-Train" orbit. GCOM-W equipped with AMSR2 takes measurements at multiple microwave frequencies and multiple polarizations of weak electromagnetic waves in the microwave band radiated from the Earthâs surface and the atmosphere. AMSR2 has swath of 1450 km and 7 microwave bands. The observation data will enable the creation of long-term trustworthy data sets of global physical amount. The Level 3 process uses as its inputs one day's worth of Level 1B data and Level 2 data and calculates, by taking a simple arithmetic mean, the daily statistical mean value at each grid point in the specified mapping projection method (either equi-rectangular or polar stereo). Furthermore, Level 3 processing takes one month's worth of each geophysical parameter's Level 3 daily statistical mean values and calculates the monthly statistical mean value at each grid point using a simple arithmetic mean in the same way as the daily statistical mean calculation. The statistical means are calculated separately for observations along the satellite's ascending and descending tracks. This product includes averaged Brightness Temperature at 36GHz (Brightness_Temperature_(H), Brightness_Temperature_(H)), Standard Deviation (Standard_Deviation), Average Number (Average_Number) and Total Number (Total_Number). Brightness Temperature is calculated from sensor counts and is proportional to the power of observed electromagnetic wave. They are expressed by the physical temperature of blackbody, which can emit the electromagnetic wave with the same power, and unit is Kelvin. Horizontal polarized wave and vertical polarized wave are stored separately. Missing value is 65535. When there is no geophysical data within observation swath, this value is set up when computing neither the case where the amount of geophysics is incomputable, nor the amount of geophysics. Error values are 65531 to 65534. It is outside observation swath data. Standard_Deviation is standard deviation value for each pixel. This item is only stored in monthly product. Average_Number is the number of valid physical quantity data (except error and missing) which was used to determine "Geophysical Data". Total_Number is the number of physical quantity data included in the grid (include valid and invalid). The provided format is HDF5. The Sampling resolution is 0.25degree grid. The statistical period is 1 month. The current version of the product is Version 2. The Version 1 is also available. The projection method is EQR and PS. The generation unit is global.
GCOM-W/AMSR2 L3 Brightness Temperature (36Ghz) (1-Month,0.25 deg)