Dataset: ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): COMBINED Product, Version 05.2#
Dataset identifier: esacci.SOILMOISTURE.day.L3S.SSMV.multi-sensor.multi-platform.COMBINED.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.SSMV.multi-sensor.multi-platform.COMBINED.05-2.r1')
Bounding box map#
cciodp_store = new_data_store('cciodp')
ds = cciodp_store.open_data('esacci.SOILMOISTURE.day.L3S.SSMV.multi-sensor.multi-platform.COMBINED.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 | 1978-11-01 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 | Volumetric Soil Moisture | m3 m-3 |
| sm_uncertainty | Volumetric Soil Moisture Uncertainty | m3 m-3 |
| 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 | 3227.5, 3228.5 |
| _CoordinateAxes | time lat lon |
| long_name | Observation Timestamp |
| orig_data_type | float64 |
| fill_value | -9999.0 |
| size | 15589324800 |
| shape | 15036, 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 |
|---|---|
| _CoordinateAxes | time lat lon |
| valid_range | 0.0, 1.0 |
| long_name | Volumetric Soil Moisture |
| units | m3 m-3 |
| orig_data_type | float32 |
| fill_value | -9999.0 |
| size | 15589324800 |
| shape | 15036, 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 |
|---|---|
| long_name | Volumetric Soil Moisture Uncertainty |
| description | Uncertainty is the estimated standard deviation of the observation |
| valid_range | 0.0, 1.0 |
| _CoordinateAxes | time lat lon |
| units | m3 m-3 |
| orig_data_type | float32 |
| fill_value | -9999.0 |
| size | 15589324800 |
| shape | 15036, 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 |
| flag_values | 0, 1, 2, 3 |
| flag_meanings | NaN day night day_night_combination |
| _CoordinateAxes | time lat lon |
| long_name | Day / Night Flag |
| orig_data_type | uint8 |
| fill_value | 0 |
| size | 15589324800 |
| shape | 15036, 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 dense_vegetation combination_of_flag_values_1_and_2 others_no_convergence_in_the_model_thus_no_valid_sm_estimates combination_of_flag_values_1_and_4 combination_of_flag_values_2_and_4 combination_of_flag_values_1_and_2_and_4 soil_moisture_value_exceeds_physical_boundary combination_of_flag_values_1_and_8 combination_of_flag_values_2_and_8 combination_of_flag_values_1_and_2_and_8 combination_of_flag_values_4_and_8 combination_of_flag_values_1_and_4_and_8 combination_of_flag_values_2_and_4_and_8 combination_of_flag_values_1_and_2_and_4_and_8 weight_of_measurement_below_threshold combination_of_flag_values_1_and_16 combination_of_flag_values_2_and_16 combination_of_flag_values_1_and_2_and_16 combination_of_flag_values_4_and_16 combination_of_flag_values_1_and_4_and_16 combination_of_flag_values_2_and_4_and_16 combination_of_flag_values_1_and_2_and_4_and_16 combination_of_flag_values_8_and_16 combination_of_flag_values_1_and_8_and_16 combination_of_flag_values_2_and_8_and_16 combination_of_flag_values_1_and_2_and_8_and_16 combination_of_flag_values_4_and_8_and_16 combination_of_flag_values_1_and_4_and_8_and_16 combination_of_flag_values_2_and_4_and_8_and_16 combination_of_flag_values_1_and_2_and_4_and_8_and_16 NaN |
| flag_values | 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 127 |
| _CoordinateAxes | time lat lon |
| long_name | Flag |
| orig_data_type | uint8 |
| fill_value | 127 |
| size | 15589324800 |
| shape | 15036, 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 |
|---|---|
| flag_meanings | NaN L14 C53 L14+C53 C66 C68 L14+C68 C53+C68 L14+C53+C68 C69 L14+C69 C53+C69 L14+C53+C69 C68+C69 L14+C68+C69 C53+C68+C69 L14+C53+C68+C69 C73 L14+C73 C53+C73 L14+C53+C73 X107 L14+X107 C53+X107 L14+C53+X107 C68+X107 L14+C68+X107 C53+C68+X107 L14+C53+C68+X107 C69+X107 L14+C69+X107 C53+C69+X107 L14+C53+C69+X107 K194 C53+K194 |
| _CoordinateAxes | time lat lon |
| long_name | Frequency Band Identification |
| flag_values | 0, 1, 2, 3, 4, 8, 9, 10, 11, 16, 17, 18, 19, 24, 25, 26, 27, 32, 33, 34, 35, 64, 65, 66, 67, 72, 73, 74, 75, 80, 81, 82, 83, 128, 130 |
| orig_data_type | int16 |
| fill_value | 0 |
| size | 15589324800 |
| shape | 15036, 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 |
| flag_meanings | NaN ascending descending ascending_descending_combination |
| long_name | Satellite Mode |
| flag_values | 0, 1, 2, 3 |
| _CoordinateAxes | time lat lon |
| orig_data_type | uint8 |
| fill_value | 0 |
| size | 15589324800 |
| shape | 15036, 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 |
|---|---|
| long_name | Sensor |
| flag_values | 0, 1, 2, 4, 8, 16, 24, 32, 64, 72, 80, 88, 96, 128, 130, 132, 136, 256, 264, 272, 280, 288, 320, 328, 336, 344, 352, 512, 544, 576, 608, 768, 776, 784, 792, 800, 832, 840, 848, 856, 864, 1024, 1056, 1088, 1120, 1280, 1312, 1344, 1376, 1536, 1568, 1600, 1632, 1792, 1824, 1856, 1888 |
| flag_meanings | NaN SMMR SSMI TMI AMSRE WindSat AMSRE+WindSat AMSR2 SMOS AMSRE+SMOS WindSat+SMOS AMSRE+WindSat+SMOS AMSR2+SMOS AMIWS SSMI+AMIWS TMI+AMIWS AMSRE+AMIWS ASCATA AMSRE+ASCATA WindSat+ASCATA AMSRE+WindSat+ASCATA AMSR2+ASCATA SMOS+ASCATA AMSRE+SMOS+ASCATA WindSat+SMOS+ASCATA AMSRE+WindSat+SMOS+ASCATA AMSR2+SMOS+ASCATA ASCATB AMSR2+ASCATB SMOS+ASCATB AMSR2+SMOS+ASCATB ASCATA+ASCATB AMSRE+ASCATA+ASCATB WindSat+ASCATA+ASCATB AMSRE+WindSat+ASCATA+ASCATB AMSR2+ASCATA+ASCATB SMOS+ASCATA+ASCATB AMSRE+SMOS+ASCATA+ASCATB WindSat+SMOS+ASCATA+ASCATB AMSRE+WindSat+SMOS+ASCATA+ASCATB AMSR2+SMOS+ASCATA+ASCATB SMAP AMSR2+SMAP SMOS+SMAP AMSR2+SMOS+SMAP ASCATA+SMAP AMSR2+ASCATA+SMAP SMOS+ASCATA+SMAP AMSR2+SMOS+ASCATA+SMAP ASCATB+SMAP AMSR2+ASCATB+SMAP SMOS+ASCATB+SMAP AMSR2+SMOS+ASCATB+SMAP ASCATA+ASCATB+SMAP AMSR2+ASCATA+ASCATB+SMAP SMOS+ASCATA+ASCATB+SMAP AMSR2+SMOS+ASCATA+ASCATB+SMAP |
| _CoordinateAxes | time lat lon |
| orig_data_type | int16 |
| fill_value | 0 |
| size | 15589324800 |
| shape | 15036, 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): COMBINED 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; LPRMv06/SMMR/Nimbus 7 L3 Surface Soil Moisture, Ancillary Params, and quality flags; LPRMv06/SSMI/F08, F11, F13 DMSP L3 Surface Soil Moisture, Ancillary Params, and quality flags; LPRMv06/TMI/TRMM L2 Surface Soil Moisture, Ancillary Params, and QC; LPRMv06/AMSR-E/Aqua L2B Surface Soil Moisture, Ancillary Params, and QC; LPRMv06/WINDSAT/CORIOLIS L2 Surface Soil Moisture, Ancillary Params, and QC; LPRMv06/AMSR2/GCOM-W1 L3 Surface Soil Moisture, Ancillary Params; LPRMv06/SMOS/MIRAS L3 Surface Soil Moisture, CATDS Level 3 Brightness Temperatures (L3TB) version 300 RE03 & RE04; LPRMv06/SMAP_radiometer/SMAP L2 Surface Soil Moisture, Ancillary Params, and QC; |
| 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 | COMBINED |
| data_type | SSMV |
| abstract | 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 and SMAP satellite instruments. PASSIVE and ACTIVE products have also been created. The v05.2 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 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 | 2020-11-23T14:59:00 |
| uuid | 057dd6c36f0741d3b97f9eee688b7835 |
| catalog_url | https://catalogue.ceda.ac.uk/uuid/057dd6c36f0741d3b97f9eee688b7835 |
| sensor_id | multi-sensor |
| platform_id | multi-platform |
| cci_project | SOILMOISTURE |