Dataset: ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): ACTIVE Product, Version 05.2#
Dataset identifier: esacci.SOILMOISTURE.day.L3S.SSMS.multi-sensor.multi-platform.ACTIVE.05-2.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.05-2.r1')
Bounding box map#
cciodp_store = new_data_store('cciodp')
ds = cciodp_store.open_data('esacci.SOILMOISTURE.day.L3S.SSMS.multi-sensor.multi-platform.ACTIVE.05-2.r1')
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 2019-12-31 |
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 |
---|---|---|
t0 | Observation Timestamp | days since 1970-01-01 00:00:00 UTC |
sm | Percent of Saturation Soil Moisture | percent |
sm_uncertainty | Percent of Saturation Soil Moisture Uncertainty | percent |
dnflag | Day / Night Flag | [none] |
flag | Flag | [none] |
freqbandID | Frequency Band Identification | [none] |
mode | Satellite Mode | [none] |
sensor | Sensor | [none] |
Full variable metadata#
t0#
Field | Value |
---|---|
units | days since 1970-01-01 00:00:00 UTC |
valid_range | 7887.5, 7888.5 |
_CoordinateAxes | time lat lon |
long_name | Observation Timestamp |
orig_data_type | float64 |
fill_value | -9999.0 |
size | 10757836800 |
shape | 10376, 720, 1440 |
chunk_sizes | 1, 360, 720 |
file_chunk_sizes | 1, 360, 720 |
data_type | float64 |
dimensions | time, lat, lon |
file_dimensions | time, lat, lon |
sm#
Field | Value |
---|---|
valid_range | 0.0, 100.0 |
long_name | Percent of Saturation Soil Moisture |
_CoordinateAxes | time lat lon |
units | percent |
orig_data_type | float32 |
fill_value | -9999.0 |
size | 10757836800 |
shape | 10376, 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 |
---|---|
description | Uncertainty is the estimated standard deviation of the observation |
valid_range | 0.0, 100.0 |
_CoordinateAxes | time lat lon |
long_name | Percent of Saturation Soil Moisture Uncertainty |
units | percent |
orig_data_type | float32 |
fill_value | -9999.0 |
size | 10757836800 |
shape | 10376, 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 |
dnflag#
Field | Value |
---|---|
_Unsigned | false |
_CoordinateAxes | time lat lon |
long_name | Day / Night Flag |
flag_values | 0, 1, 2, 3 |
flag_meanings | NaN day night day_night_combination |
orig_data_type | uint8 |
fill_value | 0 |
size | 10757836800 |
shape | 10376, 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 |
flag#
Field | Value |
---|---|
_Unsigned | false |
flag_meanings | no_data_inconsistency_detected snow_coverage_or_temperature_below_zero others_no_convergence_in_the_model_thus_no_valid_sm_estimates combination_of_flag_values_1_and_4 NaN |
flag_values | 0, 1, 4, 5, 127 |
_CoordinateAxes | time lat lon |
long_name | Flag |
orig_data_type | uint8 |
fill_value | 127 |
size | 10757836800 |
shape | 10376, 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 |
freqbandID#
Field | Value |
---|---|
_CoordinateAxes | time lat lon |
flag_meanings | NaN C53 |
flag_values | 0, 2 |
long_name | Frequency Band Identification |
orig_data_type | int16 |
fill_value | 0 |
size | 10757836800 |
shape | 10376, 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 |
mode#
Field | Value |
---|---|
_Unsigned | false |
long_name | Satellite Mode |
flag_values | 0, 1, 2, 3 |
flag_meanings | NaN ascending descending ascending_descending_combination |
_CoordinateAxes | time lat lon |
orig_data_type | uint8 |
fill_value | 0 |
size | 10757836800 |
shape | 10376, 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 |
---|---|
flag_meanings | NaN AMIWS ASCATA ASCATB ASCATA+ASCATB |
long_name | Sensor |
flag_values | 0, 128, 256, 512, 768 |
_CoordinateAxes | time lat lon |
orig_data_type | int16 |
fill_value | 0 |
size | 10757836800 |
shape | 10376, 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 |
Full dataset metadata#
Field | Value |
---|---|
title | ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): ACTIVE Product, Version 05.2 |
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 |
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 | 05-2 |
comment | This dataset was produced with funding of the ESA CCI+ Soil Moisture project; ESRIN Contract No: 4000126684/19/I-NB |
history | 2020-02-20 12:00:00 - product produced |
project | Climate Change Initiative - European Space Agency |
ecv | SOILMOISTURE |
processing_level | L3S |
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 v05.2 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 2019-12-31. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Other 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 three 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, 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 3. 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. 10.1109/TGRS.2017.2734070 |
publication_date | 2020-11-23T15:02:02 |
uuid | dd3da2570363429791b51120bdd29c02 |
catalog_url | https://catalogue.ceda.ac.uk/uuid/dd3da2570363429791b51120bdd29c02 |
sensor_id | multi-sensor |
platform_id | multi-platform |
cci_project | SOILMOISTURE |