AMSR Data Catalog #8211; AMSR web at JAXA Earth Observation Research Center (EORC)

Data Catalog
Overview
Processing Level

Processing Level

Processing Level^*1

Definition

Level 1B (L1B)

A scene ^*3 data product that stores the brightness temperature converted from the Level 1A antenna temperature using the conversion coefficients. (Swath data ^*2)

Level 1R (L1R)

A scene ^*3 data product that stores the brightness temperature that is spatially resampled from Level 1B to match the center position and size of the Field of View (FOV) of each frequency band at each pixel. (Swath data ^*2)

Level 2 (L2)

A scene ^*3 data product that stores a physical data retrieved from the brightness temperature at each footprint. (Swath data ^*2)

Level 3 (L3)

A grid data product ^*4 that stores the brightness temperature or physical data converted using grid processing and temporally statistical processing.

Sensor	L3 Type	Spatial Resolution			Processing^*5
Sensor	L3 Type	Equirectangular(EQR)	Polar Stereographic(PS)	EASE Grid(EG)	Processing^*5
AMSR-E, AMSR2, AMSR3	High	0.10 degree	10 km	-	Nearest neighbor data is stored by searching within an 8-km radius from the center of the target pixel.
AMSR-E, AMSR2, AMSR3	Low	0.25 degree	25 km	-	Averaged data, calculated using data within an 18-km radius from the center of the target pixel, is stored.

Other than L1B and L1R, there are the following two unpublished processing levels:
Level 0 (L0) : Data with quality check flags appended.
Level 1A (L1A) : A scene data product that stores the antenna temperature count value converted by the radiometric correction processing and geometric correction processing from Level 0 data, the antenna temperature conversion coefficient, etc.
Swath data is a format in which data for each footprint is stored in a two-dimensional array (observation points in scanning direction x number of scanning lines) in order of observation time. In addition to data such as brightness temperature and geophysical quantity, quality information, latitude, and longitude are stored in Swath format.
The standard L1B, L1R, L1C, L1H, and L2 products are stored in a single file, with one scene covering half the circumference of the earth. There are two types of scenes: ascending orbit from south to north and descending orbit from north to south.
The daily and monthly L3 products are available for ascending and descending orbits. The L3 brightness temperature product is a file for each frequency band, each containing vertical and horizontal polarization data. The L3 geophysical product is a file for each geophysical quantity and contains the relevant data.
The temporal statistical method used to create daily L3 products varies depending on the geophysical data type: The averaging method or the overwriting method, which provides the latest values for each pixel, is applied.

Product

We provide "standard," "research," and "trial" products based on the maturity and accuracy of algorithms and verification methods, as well as our track record of providing such products.

Standard Product

These products are essential for achieving the AMSR series missions, and have established algorithms and validation methods, and have been verified to have achieved standard accuracy. For standard products, "standard accuracy" and "Release accuracy" are defined as follows:
Standard accuracy: A useful and standard level of accuracy based on the performance of precursor missions.
Release accuracy: The minimum accuracy that can be released as data that can contribute to climate change analysis.

Standard Product List

Product Name ID	Stored physical quantity	Region	Spatial resolution	Measurement range	Release accuracy	Standard Accuracy	Remarks
Brightness Temperature (L1B) TBB	Brightness Temperature (6-89GHz)	Global	5-50 km	2.7-340 K	±1.5 K	±0.3 K	For ocean and clear sky areas, the difference in the global mean ascending and descending orbits after removing biases using the brightness temperature estimates from AMSR2 or numerical weather prediction models as the reference.
Brightness Temperature (L1B) TBB	Brightness Temperature (166, 183GHz)	Global	10 km	2.7-340 K	±1.5 K	±1.0 K
Resampling Brightness Temperature (L1R) TBR	Brightness Temperature (6-89GHz)	Global	5-50 km	2.7-340 K	±1.5 K	±0.3 K	For ocean and clear sky areas, the difference in the global mean ascending and descending orbits after removing biases using the brightness temperature estimates from AMSR2 or numerical weather prediction models as the reference.
Resampling Brightness Temperature (L1R) TBR	Brightness Temperature (166, 183GHz)	Global	10 km	2.7-340 K	±1.5 K	±1.0 K
Total Precipitable Water TPW	Total Precipitable Water over Ocean	Global over ocean	15 km	0-70 kg/m²	3.5 kg/m²	3.0 kg/m²	RMSE equivalent to GPS and sonde
Total Precipitable Water TPW	Total Precipitable Water over Land	Global over land *	15 km	0-70 kg/m²	6.5 kg/m²	3.5 kg/m²	RMSE equivalent to GPS and sonde *Excluding vegetation and cryosphere areas
Cloud Liquid Water Content CLW	Cloud Liquid Water Content	Global over ocean	15 km	0-1.0 kg/m²	0.10 kg/m²	0.05 kg/m²	RMSE relative to optical sensors
Precipitation PRC	Precipitation	Global	15 km	0-20 mm/h	Ocean 50 % Land 120 %	Ocean 50 % Land 120 %	Relative error to GPM/DPR and ground radar networks equivalent to 0.5 degree grid
Precipitation PRC	Snow precipitate	Global	10 km	0-4mm/h	Ocean 130 % * Land 200%*	Ocean 130%* Land 200%*	Relative error against GPM/DPR equivalent to 0.5 degree grid. *1mm/month or more, evaluated by monthly integration.
Sea Surface Temperature SST	6GHz Sea Surface Temperature	Global over ocean	50 km	-2 -35 ℃	0.8 ℃	0.5 ℃	RMSE relative to buoys
	10GHz Sea Surface Temperature		30 km			0.6 ℃
	Multi-band Sea Surface Temperature		30 km			0.6 ℃
Sea Surface Wind Speed SSW	Sea Surface Wind Speed	Global over ocean	15 km	0-30 m/s	1.5 m/s	1.0 m/s	RMSE relative to buoys
All-weather Sea Surface Wind Speed ASW	All-weather Sea Surface Wind Speed	Global over ocean	50 km	0-70 m/s	7 m/s	5 m/s	RMSE relative to dropsonde (wind speed 15 m/s or more)
Sea Ice Concentration SIC	Sea Ice Concentration	Polar region over ocean	15 km	0-100 %	10 %	10 %	RMSE relative to optical sensors
High-resolution Sea Ice Concentration HSI	High-resolution Sea Ice Concentration	Polar region over ocean	5 km	0-100 %	15 %	15 %	RMSE relative to optical sensors
Soil Moisture Content SMC	Soil Moisture Content	Global over land	50 km	0-40 %	10 %	5 %	Absolute mean error relative to ground observations
Snow Depth SND	Snow Depth (Snow Water Amount)	Global over land	30 km	0-100 cm	20 cm	20 cm	Absolute mean error relative to ground observations

Data Download

The standard products are available on "Globe Portal System (G-Portal)".
User registration

Research Product

We define research products as those whose algorithms and validation methods are in the research stage, aiming for sophistication and standardization. For this reason, only Release accuracy is set for research products.

Research Product List

Product Name ID	Region	Spatial resolution	Measurement range	Release accuracy	Remarks
FOV-center matched brightness temperature (L1C) (L1C) TBC	Global	5-50 km	2.7-340 K	±1.5 K	For ocean and clear sky areas, the difference in the global mean ascending and descending orbits after removing biases using the brightness temperature estimates from AMSR2 or numerical weather prediction models as the reference.
High-resolution Brightness Temperature (L1H) TBH	Global	20-30 km	2.7-340 K	±1.5 K	6-89 GHz only. For ocean and clear sky areas, the difference in the global mean ascending and descending orbits after removing biases using the brightness temperature estimates from AMSR2 or numerical weather prediction models as the reference.
High - resolution Sea Surface Temperature HST	Global over ocean	20 km*	-2 -35 ℃	0.8 ℃	RMSE relative to buoys *High resolution brightness temperature used as input data
Land Surface Temperature LST	Global over land	15 km	0-50 ℃	Forest : 3 ℃ Sparse vegetation area : 4 ℃	RMSE relative to ground observations
Vegetation Water Content VWC	Global over land	10 km	0-4 kg/m²	1.0 kg/m²	RMSE relative to optical sensor or in situ observations
Detection of Thin Sea Ice TSI	Polar region over ocean	15 km	N/A	80 %	Detects thin ice up to 30cm thick. Accuracy is the accuracy rate.
Sea Ice Motion Vector SIM	Polar region over ocean	50 km	0 - 40 cm/s	6 cm/s	North-south/east-west components

AMSR2 research products with algorithms under development for AMSR3.
Only research products for AMSR-E,2.

In addition, AMSR-E brightness temperature in slow rotation mode is distributed to researchers.

Data Download

The research products are available on "AMSR Research Product Distribution Service".

User registration is required to download products.

Trial Product

Trial Product List

Product	Region	Spatial resolution	Measurement range	Accuracy	Remarks
Thin Ice Thickness	Polar region over ocean	TBD	0-30 cm	TBD	Evaluation methods need to be adjusted
Sea Ice Thickness	Polar region over ocean	TBD	0-2 m(TBD)	TBD
Melting degree of sea ice surface (melt pond ratio)	Polar region over ocean	TBD	0-100 %	TBD
Sea ice type (first-year ice/multi-year ice)	Polar region over ocean	TBD	N/A	TBD	As a accuracy rate
High-accuracy sea ice concentration	Polar region over ocean	25km	0-100 %	8%	RMSE relative to optical sensors
Ocean surface flux data set (AMSR3+other satellites)	Global over ocean	0.25 degree grid interval	depends on physical quantity	Latent heat bias at sea level: ±5 W/㎡ Sensible heat bias at sea level:±5 W/㎡	Daily average L3 product. Multiple satellite data required. Verification is done by comparing with fluxes calculated from buoys.
sea ice concentration of multiyear ice (AMSR3 + scatterometer)	Polar region over ocean	25km	0-100 %	Release : 37% Standard : 32% Aim : 25%	Daily average L3 product. Scatterometer data required.

Data Download

The trial product is currently in preparation.

Data Catalog
Overview
How to use

How to use

For information on using the product, including data formats, sample programs, and tools, please refer to the "Resources" section of the AMSRs Web site.

Data Catalog
Overview
Reference Material

Reference Material

AMSR3 Algorithm Description(coming soon)

AMSR2 Algorithm Description

AMSR/AMSR-E Algorithm Description