Dataset: ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column averaged CO2 Merged Product generated with the EMMA algorithm (CO2_EMMA), v2.2#
Dataset identifier: esacci.GHG.satellite-orbit-frequency.L2.CO2.multi-sensor.multi-platform.EMMA.v2-2a.r1
Data store: cciodp
How to open this dataset in AVL JupyterLab
cciodp_store = new_data_store('cciodp')
ds = cciodp_store.open_data('esacci.GHG.satellite-orbit-frequency.L2.CO2.multi-sensor.multi-platform.EMMA.v2-2a.r1')
Bounding box map#
cciodp_store = new_data_store('cciodp')
ds = cciodp_store.open_data('esacci.GHG.satellite-orbit-frequency.L2.CO2.multi-sensor.multi-platform.EMMA.v2-2a.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 | 2009-05-31 to 2014-05-30 |
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 |
|---|---|---|
| solar_zenith_angle | solar zenith angle | degree |
| sensor_zenith_angle | Sensor zenith angle | degree |
| xco2_quality_flag | quality flag | [none] |
| xco2 | column-average dry-air mole fraction of atmospheric carbon dioxide in dry air | 1e-6 |
| xco2_uncertainty | 1-sigma uncertainty of the retrieved column-average dry-air mole fraction of atmospheric carbon dioxide | 1e-6 |
| co2_profile_apriori | a priori dry-air mole fraction profile of atmospheric carbon dioxide | 1e-6 |
| pressure_levels | pressure levels | hPa |
| pressure_weight | pressure weight | 1 |
| xco2_averaging_kernel | normalized column averaging kernel | 1 |
| median_processor_id | l2 processor id | [none] |
| median_uncertainty | xco2 median uncertainty | 1e-6 |
| median_uncertainty_se | xco2 median uncertainty se | 1e-6 |
| median_uncertainty_ex | xco2 median uncertainty ex | 1e-6 |
Full variable metadata#
solar_zenith_angle#
| Field | Value |
|---|---|
| standard_name | solar_zenith_angle |
| long_name | solar zenith angle |
| units | degree |
| comment | Solar zenith angle is the the angle between the line of sight to the sun and the local vertical. |
| orig_data_type | float32 |
| fill_value | None |
| size | 225 |
| shape | 225 |
| chunk_sizes | 225 |
| file_chunk_sizes | 225 |
| data_type | float32 |
| dimensions | sounding_dim |
| file_dimensions | sounding_dim |
sensor_zenith_angle#
| Field | Value |
|---|---|
| standard_name | sensor_zenith_angle |
| long_name | Sensor zenith angle |
| units | degree |
| comment | Sensor zenith angle is the angle between the line of sight to the sensor and the local vertical. |
| orig_data_type | float32 |
| fill_value | None |
| size | 225 |
| shape | 225 |
| chunk_sizes | 225 |
| file_chunk_sizes | 225 |
| data_type | float32 |
| dimensions | sounding_dim |
| file_dimensions | sounding_dim |
xco2_quality_flag#
| Field | Value |
|---|---|
| _Unsigned | false |
| long_name | quality flag |
| flag_values | 0, 1 |
| flag_meanings | good_quality potentially_bad_quality |
| comment | 0=good, 1=bad |
| orig_data_type | uint8 |
| fill_value | 65535 |
| size | 225 |
| shape | 225 |
| chunk_sizes | 225 |
| file_chunk_sizes | 225 |
| data_type | uint16 |
| dimensions | sounding_dim |
| file_dimensions | sounding_dim |
xco2#
| Field | Value |
|---|---|
| standard_name | dry_atmosphere_mole_fraction_of_carbon_dioxide |
| long_name | column-average dry-air mole fraction of atmospheric carbon dioxide in dry air |
| units | 1e-6 |
| comment | Retrieved column-average dry-air mole fraction of atmospheric carbon dioxide (XCO2) in ppm |
| orig_data_type | float32 |
| fill_value | None |
| size | 225 |
| shape | 225 |
| chunk_sizes | 225 |
| file_chunk_sizes | 225 |
| data_type | float32 |
| dimensions | sounding_dim |
| file_dimensions | sounding_dim |
xco2_uncertainty#
| Field | Value |
|---|---|
| long_name | 1-sigma uncertainty of the retrieved column-average dry-air mole fraction of atmospheric carbon dioxide |
| units | 1e-6 |
| comment | 1-sigma uncertainty of the retrieved column-average dry-air mole fraction of atmospheric carbon dioxide (XCO2) in ppm |
| orig_data_type | float32 |
| fill_value | None |
| size | 225 |
| shape | 225 |
| chunk_sizes | 225 |
| file_chunk_sizes | 225 |
| data_type | float32 |
| dimensions | sounding_dim |
| file_dimensions | sounding_dim |
co2_profile_apriori#
| Field | Value |
|---|---|
| long_name | a priori dry-air mole fraction profile of atmospheric carbon dioxide |
| units | 1e-6 |
| comment | A priori dry-air mole fraction profile of atmospheric carbon dioxide in ppm All values represent layer averages within the corresponding pressure levels. Profiles are ordered from surface to top of atmosphere. The a priori profile is needed to apply the XCO2 averaging kernel. See Product Specification Document Version 3 at www.esa-ghg-cci.org for more information. |
| orig_data_type | float32 |
| fill_value | None |
| size | 2250 |
| shape | 225, 10 |
| chunk_sizes | 225, 10 |
| file_chunk_sizes | 225, 10 |
| data_type | float32 |
| dimensions | sounding_dim, layer_dim |
| file_dimensions | sounding_dim, layer_dim |
pressure_levels#
| Field | Value |
|---|---|
| long_name | pressure levels |
| units | hPa |
| comment | Pressure levels define the boundaries of the averaging kernel and mole fraction profile layers. Surface pressure is represented by the 1st element, i.e., profiles are ordered from surface to top of atmosphere. |
| orig_data_type | float32 |
| fill_value | None |
| size | 2475 |
| shape | 225, 11 |
| chunk_sizes | 225, 11 |
| file_chunk_sizes | 225, 11 |
| data_type | float32 |
| dimensions | sounding_dim, level_dim |
| file_dimensions | sounding_dim, level_dim |
pressure_weight#
| Field | Value |
|---|---|
| long_name | pressure weight |
| units | 1 |
| comment | Layer dependent weights needed to apply the averaging kernels (see Product Specification Document Version 3, www.esa-ghg-cci.org) |
| orig_data_type | float32 |
| fill_value | None |
| size | 2250 |
| shape | 225, 10 |
| chunk_sizes | 225, 10 |
| file_chunk_sizes | 225, 10 |
| data_type | float32 |
| dimensions | sounding_dim, layer_dim |
| file_dimensions | sounding_dim, layer_dim |
xco2_averaging_kernel#
| Field | Value |
|---|---|
| long_name | normalized column averaging kernel |
| units | 1 |
| comment | The normalized column-averaging kernel represents the sensitivity of the retrieved XCO2 to the atmospheric carbon dioxide mole fraction depending on pressure (height). All values represent layer averages within the corresponding pressure levels. Values near one are ideal and indicate that the influence of the a priori is minimal. Profiles are ordered from surface to top of atmosphere. See Product Specification Document Version 3 at www.esa-ghg-cci.org for more information. |
| orig_data_type | float32 |
| fill_value | None |
| size | 2250 |
| shape | 225, 10 |
| chunk_sizes | 225, 10 |
| file_chunk_sizes | 225, 10 |
| data_type | float32 |
| dimensions | sounding_dim, layer_dim |
| file_dimensions | sounding_dim, layer_dim |
median_processor_id#
| Field | Value |
|---|---|
| long_name | l2 processor id |
| comment | ID Institute Algorithm Version |
| 1 IUP BESD v02.01.02 | |
| 2 NASA ACOS v7.3r01 | |
| 3 SRON RemoTeC v2.3.8 | |
| 4 UoL UoL-FP v7.0 | |
| 6 NIES NIES v02.21 | |
| 7 IUP WFMD v4.0 | |
| orig_data_type | int16 |
| fill_value | 2147483647 |
| size | 225 |
| shape | 225 |
| chunk_sizes | 225 |
| file_chunk_sizes | 225 |
| data_type | int32 |
| dimensions | sounding_dim |
| file_dimensions | sounding_dim |
median_uncertainty#
| Field | Value |
|---|---|
| long_name | xco2 median uncertainty |
| units | 1e-6 |
| comment | inter-algorithm-spread |
| orig_data_type | float32 |
| fill_value | None |
| size | 225 |
| shape | 225 |
| chunk_sizes | 225 |
| file_chunk_sizes | 225 |
| data_type | float32 |
| dimensions | sounding_dim |
| file_dimensions | sounding_dim |
median_uncertainty_se#
| Field | Value |
|---|---|
| long_name | xco2 median uncertainty se |
| units | 1e-6 |
| comment | standard error of the median uncertainty |
| orig_data_type | float32 |
| fill_value | None |
| size | 225 |
| shape | 225 |
| chunk_sizes | 225 |
| file_chunk_sizes | 225 |
| data_type | float32 |
| dimensions | sounding_dim |
| file_dimensions | sounding_dim |
median_uncertainty_ex#
| Field | Value |
|---|---|
| long_name | xco2 median uncertainty ex |
| units | 1e-6 |
| comment | expected inter-algorithm spread due to measurement noise |
| orig_data_type | float32 |
| fill_value | None |
| size | 225 |
| shape | 225 |
| chunk_sizes | 225 |
| file_chunk_sizes | 225 |
| data_type | float32 |
| dimensions | sounding_dim |
| file_dimensions | sounding_dim |
Full dataset metadata#
| Field | Value |
|---|---|
| title | ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column averaged CO2 Merged Product generated with the EMMA algorithm (CO2_EMMA), v2.2 |
| source | |
| history | |
| references | M. Reuter, H. Bösch, H. Bovensmann, A. Bril, M. Buchwitz, A. Butz, |
| J. P. Burrows, C. W. ODell, S. Guerlet, O. Hasekamp, J. Heymann, N. Kikuchi, | |
| S. Oshchepkov, R. Parker, S. Pfeifer, O. Schneising, T. Yokota, and | |
| Y. Yoshida: A joint effort to deliver satellite retrieved atmospheric CO2 | |
| concentrations for surface flux inversions: the ensemble median algorithm | |
| EMMA. Atmospheric Chemistry and Physics Discussions, 12, 23195-23217, 2012 | |
| product_version | v2-2a |
| comment | |
| project | |
| ecv | GHG |
| institute | Institute of Environmental Physics |
| processing_level | L2 |
| product_string | EMMA |
| data_type | CO2 |
| abstract | The CO2_EMMA dataset comprises of level 2, column-averaged dry-air mole fractions (mixing ratios) of carbon dioxide (XCO2). It has been produced using the ensample median algorithm EMMA to produce a merged SCIAMACHY and GOSAT XCO2 Level 2 product, as part of the ESA Greenhouse Gases Climate Change Initiative (GHG_cci) project. This version of the product is v2.2, and forms part of the Climate Research Data Package 4. The EMMA algorithm has been applied to level 2 data from multiple XCO2 retrievals from the Japanese Greenhouse gases Observing Satellite (GOSAT) and the SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY) on board the European Space Agency's environmental research satellite ENVISAT. This merged SCIAMACHY and GOSAT XCO2 Level 2 product is primarily used as a comparison tool to assess the level of agreement / disagreement of the various input products (for model-independent global comparison, i.e. for comparisons not restricted to TCCON validation sites and independent of global model data). For further information on the product and the EMMA algorithm please see the EMMA website, the GHG-CCI Data Products webpage or the Product Validation and Intercomparison Report (PVIR). |
| publication_date | 2018-03-19T20:54:59 |
| uuid | 9f002827ba7d48f59019fcfd3577a57e |
| catalog_url | https://catalogue.ceda.ac.uk/uuid/9f002827ba7d48f59019fcfd3577a57e |
| sensor_id | multi-sensor |
| platform_id | multi-platform |
| cci_project | GHG |