Dataset: ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): ACTIVE product, Version 07.1#

Dataset identifier: esacci.SOILMOISTURE.day.L3S.SSMS.multi-sensor.multi-platform.ACTIVE.v07-1.r1
Data store: cciodp

How to open this dataset in AVL JupyterLab  

cciodp_store = new_data_store('cciodp')
ds = cciodp_store.open_data('esacci.SOILMOISTURE.day.L3S.SSMS.multi-sensor.multi-platform.ACTIVE.v07-1.r1')

Bounding box map#

Bounding box map
Map tiles and data from OpenStreetMap, under the ODbL.

Basic information#

Parameter Value
Bounding box longitude (°) -180.0 to 180.0
Bounding box latitude (°) -90.0 to 90.0
Time range 1991-08-05 to 2021-12-31
Time period 1D

Click here for full dataset metadata.

Variable list#

Click on a variable name to jump to the variable’s full metadata.

Variable Long name Units
sm Percent of Saturation Soil Moisture percent
sm_uncertainty Percent of Saturation Soil Moisture Uncertainty percent
flag Flag [none]
freqbandID Frequency Band Identification [none]
dnflag Day / Night Flag [none]
mode Satellite Mode [none]
sensor Sensor [none]
t0 Observation Timestamp days since 1970-01-01T00:00:00+00:00

Full variable metadata#

sm#

Field Value
dtype float32
units percent
valid_range 0.0, 100.0
long_name Percent of Saturation Soil Moisture
standard_name soil_moisture_content
ancillary_variables sm_uncertainty flag t0
_CoordinateAxes time lat lon
orig_data_type float32
fill_value -9999.0
size 11515737600
shape 11107, 720, 1440
chunk_sizes 1, 720, 1440
file_chunk_sizes 1, 720, 1440
data_type float32
dimensions time, lat, lon
file_dimensions time, lat, lon

sm_uncertainty#

Field Value
dtype float32
units percent
valid_range 0.0, 100.0
long_name Percent of Saturation Soil Moisture Uncertainty
standard_name soil_moisture_content standard_error
_CoordinateAxes time lat lon
orig_data_type float32
fill_value -9999.0
size 11515737600
shape 11107, 720, 1440
chunk_sizes 1, 720, 1440
file_chunk_sizes 1, 720, 1440
data_type float32
dimensions time, lat, lon
file_dimensions time, lat, lon

flag#

Field Value
dtype int16
long_name Flag
standard_name soil_moisture_content status_flag
_CoordinateAxes time lat lon
flag_values 0, 1, 4, 5, 127
flag_meanings no_data_inconsistency_detected
bits 0b0
bit_meanings no_data_inconsistency_detected
valid_range 0, 255
orig_data_type int16
fill_value 127
size 11515737600
shape 11107, 720, 1440
chunk_sizes 1, 720, 1440
file_chunk_sizes 1, 720, 1440
data_type int16
dimensions time, lat, lon
file_dimensions time, lat, lon

freqbandID#

Field Value
dtype int16
long_name Frequency Band Identification
_CoordinateAxes time lat lon
flag_values 0, 2
flag_meanings NaN
valid_range 0, 511
bits 0b0
bit_meanings NaN
orig_data_type int16
fill_value 0
size 11515737600
shape 11107, 720, 1440
chunk_sizes 1, 720, 1440
file_chunk_sizes 1, 720, 1440
data_type int16
dimensions time, lat, lon
file_dimensions time, lat, lon

dnflag#

Field Value
_Unsigned false
dtype int8
long_name Day / Night Flag
_CoordinateAxes time lat lon
flag_values 0, 1, 2, 3
flag_meanings NaN
bits 0b0
bit_meanings NaN
valid_range 0, 3
orig_data_type uint8
fill_value 0
size 11515737600
shape 11107, 720, 1440
chunk_sizes 1, 720, 1440
file_chunk_sizes 1, 720, 1440
data_type uint8
dimensions time, lat, lon
file_dimensions time, lat, lon

mode#

Field Value
_Unsigned false
dtype int8
long_name Satellite Mode
_CoordinateAxes time lat lon
flag_values 0, 1, 2, 3
flag_meanings NaN
bits 0b0
bit_meanings NaN
valid_range 0, 3
orig_data_type uint8
fill_value 0
size 11515737600
shape 11107, 720, 1440
chunk_sizes 1, 720, 1440
file_chunk_sizes 1, 720, 1440
data_type uint8
dimensions time, lat, lon
file_dimensions time, lat, lon

sensor#

Field Value
dtype int32
long_name Sensor
_CoordinateAxes time lat lon
flag_values 0, 128
flag_meanings NaN
valid_range 0, 131071
bits 0b0
bit_meanings NaN
orig_data_type int32
fill_value 0
size 11515737600
shape 11107, 720, 1440
chunk_sizes 1, 720, 1440
file_chunk_sizes 1, 720, 1440
data_type int32
dimensions time, lat, lon
file_dimensions time, lat, lon

t0#

Field Value
dtype float64
long_name Observation Timestamp
_CoordinateAxes time lat lon
valid_range 7887.0, 7889.0
units days since 1970-01-01T00:00:00+00:00
calendar proleptic_gregorian
orig_data_type float64
fill_value -9999.0
size 11515737600
shape 11107, 720, 1440
chunk_sizes 1, 720, 1440
file_chunk_sizes 1, 720, 1440
data_type float64
dimensions time, lat, lon
file_dimensions time, lat, lon

Full dataset metadata#

Field Value
title ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): ACTIVE product, Version 07.1
source WARP 5.5R1.1/AMI-WS/ERS12 Level 2 Soil Moisture; WARP 5.4R1.0/AMI-WS/ERS2 Level 2 Soil Moisture; H115: Metop ASCAT Surface Soil Moisture Climate Data Record v5 12.5 km sampling, DOI: 10.15770/EUM_SAF_H_0006; H116: Metop ASCAT Surface Soil Moisture Climate Data Record v5 Extension 12.5 km sampling; H115: Metop ASCAT Surface Soil Moisture Climate Data Record v5 12.5 km sampling, DOI: 10.15770/EUM_SAF_H_0006; H116: Metop ASCAT Surface Soil Moisture Climate Data Record v5 Extension 12.5 km sampling; H115: Metop ASCAT Surface Soil Moisture Climate Data Record v5 12.5 km sampling, DOI: 10.15770/EUM_SAF_H_0006; H116: Metop ASCAT Surface Soil Moisture Climate Data Record v5 Extension 12.5 km sampling;
processing_level L3S
references http://www.esa-soilmoisture-cci.org; 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., Dorigo, W. (2019) Evolution of the ESA CCI Soil Moisture Climate Data Records and their underlying merging methodology. Earth System Science Data 11, 717-739, https://doi.org/10.5194/essd-11-717-2019; Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. https://doi.org/10.1109/TGRS.2017.2734070
product_version v07-1
comment This dataset was produced with funding of the ESA CCI+ Soil Moisture project; ESRIN Contract No: 4000126684/19/I-NB
history 2022-03-08 13:50:41 - product produced
project Climate Change Initiative - European Space Agency
ecv SOILMOISTURE
product_string ACTIVE
data_type SSMS
abstract The Soil Moisture CCI ACTIVE dataset is one of the 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 fusing scatterometer soil moisture products, derived from the instruments AMI-WS and ASCAT. PASSIVE and COMBINED products have also been created. The v07.1 ACTIVE 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 percent of saturation [%] and covers the period (yyyy-mm-dd) 1991-08-05 to 2021-12-31. 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, 717–739, https://doi.org/10.5194/essd-11-717-2019 2. 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
publication_date 2023-03-10T12:47:03
uuid e235d2980d6a441895f7221ff4787a6f
catalog_url https://catalogue.ceda.ac.uk/uuid/e235d2980d6a441895f7221ff4787a6f
sensor_id multi-sensor
platform_id multi-platform
cci_project SOILMOISTURE