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DATA

Discover and download the Earth observation data you need from the broad catalogue of missions the European Space Agency operate and support.

  • Data - EO Sign In Authentication (Open)

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    GOCE Global Gravity Field Models and Grids

    This collection contains gravity gradient and gravity anomalies grids at ground level and at satellite height. In addition it contains the GOCE gravity field models (EGM_GOC_2, EGM_GCF_2) and their covariance matrices (EGM_GVC_2): GOCE Gravity solution GRIDS Gridded Gravity gradients and anomalies at ground level: GO_CONS_GRC_SPW_2__20091101T000000_20111231T235959_0001.TGZ GO_CONS_GRC_SPW_2__20091101T055147_20120731T222822_0001.TGZ GO_CONS_GRC_SPW_2__20091101T055226_20131020T033415_0002.TGZ GO_CONS_GRC_SPW_2__20091009T000000_20131021T000000_0201.TGZ. Latest baseline is: GO_CONS_GRC_SPW_2__20091009T000000_20131021T000000_0201.TGZ. Gridded Gravity gradients and anomalies at satellite height: GO_CONS_GRD_SPW_2__20091101T055147_20100630T180254_0001.TGZ GO_CONS_GRD_SPW_2__20091101T055147_20120731T222822_0001.TGZ GO_CONS_GRD_SPW_2__20091101T055226_20131020T033415_0002.TGZ GO_CONS_GRD_SPW_2__20091009T000000_20131021T000000_0201.TGZ. Latest baseline is: GO_CONS_GRD_SPW_2__20091009T000000_20131021T000000_0201.TGZ. As output from the ESA-funded GOCE+ GeoExplore project, GOCE gravity gradients were combined with heterogeneous other satellite gravity information to derive a combined set of gravity gradients complementing (near)-surface data sets spanning all together scales from global down to 5 km. The data is useful for various geophysical applications and demonstrate their utility to complement additional data sources (e.g., magnetic, seismic) to enhance geophysical modelling and exploration. The GOCE+ GeoExplore project is funded by ESA through the Support To Science Element (STSE) and was undertaken as a collaboration of the Deutsches Geodätisches Forschungsinstitut (DGFI), Munich, DE, the Christian-Albrechts-Universität zu Kiel, the Geological Survey of Norway (NGU), Trondheim, Norway, TNO, the Netherlands and the University of West Bohemia, Plzen, CZ. Read more about gravity gradients and how GOCE delivered them in this Nature article: Satellite gravity gradient grids for geophysics. View images of the GOCE original gravity gradients and gradients with topographic reduction grids. Available data GRIDS File Type Gridded data: full Gravity Gradients, at 225 km and 255 km with and without topographic correction GGG_225 Computed from GOCE/GRACE gradients lower orbit phase February 2010 - October 2013 GGG_255 Computed from GOCE/GRACE gradients nominal orbit phase February 2010 - October 2013 TGG_225 Gravity gradient grids from topography at fixed height of 225/255 km above ellipsoid given in LNOF (Local North Oriented Frame) TGG_225 Gravity gradient grids from topography at fixed height of 225/255 km above ellipsoid given in LNOF (Local North Oriented Frame) MAPS File Type Maps of Gravity Gradients with and without topographic corrections Vij_225km_Patch_n.jpg Maps of grids from lower orbit phase with and without topographic correction from ETOPO1 Along-orbit File Type Full Gravity Gradients, along-orbit, in GRF and TRF reference frames. A detailed description is provided in the data set user manual GGC_GRF Combined gradients from GRACE (long wavelengths) & GOCE (measurement band) in the GRF (Gradiometer Reference Frame) GGC_TRF Combined gradients from GRACE (long wavelengths) & GOCE (measurement band) rotated from GRF to TRF (Terrestrial Reference Frame: North, West, Up) Direct solution First Generation Product: GO_CONS_EGM_GOC_2__20091101T000000_20100110T235959_0002.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091101T000000_20100110T235959_0002.TGZ Second Generation Product: GO_CONS_EGM_GOC_2__20091101T000000_20100630T235959_0002.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091101T000000_20100630T235959_0001.TGZ Third Generation Product: GO_CONS_EGM_GOC_2__20091101T000000_20110419T235959_0001.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091101T000000_20110419T235959_0001.TGZ Coefficients (ICGEM format): GO_CONS_EGM_GCF_2__20091101T000000_20110419T235959_0001.IDF Fourth Generation Product: GO_CONS_EGM_GOC_2__20091101T000000_20120801T060000_0001.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091101T000000_20120801T060000_0002.TGZ Fifth Generation Product: GO_CONS_EGM_GOC_2__20091101T000000_20131020T235959_0002.TG Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091101T000000_20131020T235959_0001.TGZ Coefficients (ICGEM format): GO_CONS_EGM_GOC_2__20091101T000000_20131020T235959_0001.IDF Sixth Generation Product: GO_CONS_EGM_GOC_2__20091009T000000_20131020T235959_0201.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091009T000000_20131020T235959_0201.TGZ Coefficients (ICGEM format): GO_CONS_EGM_GOC_2__20091009T000000_20131020T235959_0201.IDF Release 6 gravity model validation report. Time-Wise solution First Generation Product: GO_CONS_EGM_GOC_2__20091101T000000_20100111T000000_0002.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091101T000000_20100111T000000_0002.TGZ Second Generation Product: GO_CONS_EGM_GOC_2__20091101T000000_20100705T235500_0002.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091101T000000_20100705T235500_0001.TGZ Third Generation Product: GO_CONS_EGM_GOC_2__20091101T000000_20110430T235959_0001.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091101T000000_20110430T235959_0001.TGZ Coefficients (ICGEM format): GO_CONS_EGM_GCF_2__20091101T000000_20110430T235959_0001.IDF Fourth Generation Product: GO_CONS_EGM_GOC_2__20091101T000000_20120618T235959_0002.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091101T000000_20120618T235959_0001.TGZ Fifth Generation Product: GO_CONS_EGM_GOC_2__20091101T000000_20131021T000000_0002.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091101T000000_20131021T000000_0001.TGZ Coefficients (ICGEM format): GO_CONS_EGM_GOC_2__20091101T000000_20131021T000000_0001.IDF Sixth Generation Product: GO_CONS_EGM_GOC_2__20091009T000000_20131021T000000_0201.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091009T000000_20131021T000000_0202.TGZ Coefficients (ICGEM format): GO_CONS_EGM_GOC_2__20091009T000000_20131021T000000_0201.IDF Combined gravity field GOCE model plus Antarctic and Arctic data (ICGEM format): GO_CONS_EGM_GOC_2__20091009T000000_20160119T235959_0201.IDF Download release 6 gravity model validation report.

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    GOCE Level 2

    This collection contains GOCE level 2 data: Gravity Gradients in the gradiometer reference frame (EGG_NOM_2), in the terrestrial reference frame (EGG_TRF_2), GPS receiver derived precise science orbits (SST_PSO_2) and the non-tidal time variable gravity field potential with respect to a mean value in terms of a spherical harmonic series determined from atmospheric and oceanic mass variations as well as from a GRACE monthly gravity field time series (SST_AUX_2). EGG_NOM_2_: latest baseline: _0203 EGG_TRF_2_: latest baseline _0101 SST_AUX_2_: latest baseline _0001 SST_PSO_2_: latest baseline _0201.

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    GOCE Level 1

    This collection contains the GOCE L1b data of the gradiometer, the star trackers, the GPS receiver, the magnetometers, magnetotorquers and the DFACS data of each accelerometer of the gradiometer. EGG_NOM_1b: latest baseline _0202 SST_NOM_1b: latest baseline _000x (always take the highest number available) ACC_DFx_1b: latest baseline _0001 (x=1:6) MGM_GOx_1b: latest baseline _0001 (x=1:3) MTR_GOC_1b: latest baseline _0001 SST_RIN_1b: latest baseline _000x (always take the highest number available) STR_VC2_1b: latest baseline _000x (always take the highest number available) STR_VC3_1b: latest baseline _000x (always take the highest number available).

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    GOCE Thermosphere Data

    Thermospheric density and crosswind data products derived from GOCE data. Latest baseline _0200. The GOCE+ Air Density and Wind Retrieval using GOCE Data project produced a dataset of thermospheric density and crosswind data products which were derived from ion thruster activation data from GOCE telemetry. The data was combined with the mission's accelerometer and star camera data products. The products provide data continuty and extend the accelerometer-derived thermosphere density data sets from the CHAMP and GRACE missions. The resulting density and wind observations are made available in the form of time series and grids. These data can be applied in investigations of solar-terrestrial physics, as well as for the improvement and validation of models used in space operations. Funded by ESA through the Support To Science Element (STSE) of ESA's Earth Observation Envelope Programme, supporting the science applications of ESA's Living Planet programme, the project was a partnership between TU Delft, CNES and Hypersonic Technology Göttingen. Dataset history Date Change Reason 18/04/2019 - Time series data v2.0, covering the whole mission - Updated data set user manual - New satellite geometry and aerodynamic model - New vertical wind field - New data for the deorbit phase, (GPS+ACC and GPS-only versions) Updated satellite models and additional data 14/07/2016 - Time series data v1.5, covering the whole mission - Updated data set user manual Removal of noisy data 31/07/2014 - Time series data v1.4, covering the whole mission - Gridded data, now including error estimates - Updated data set user manual; Updated validation report; Updated ATBD Full GOCE dataset available 28/09/2013 Version 1.3 density/winds timeseries and gridded data released. User manual updated to v1.3 Bug fix and other changes 04/09/2013 Version 1.2 density/winds timeseries and gridded data released, with user manual First public data release of thermospheric density/winds data

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    GOCE TEC and ROTI

    GOCE total electron content (TEC) and rate of TEC index (ROTI) data.

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    GOCE Telemetry

    This collection contains all GOCE platform and instruments telemetry. For details see the Packets Description file.

  • Data - Data Description

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    GOSAT TANSO FTS and CAI full archive and new products

    The TANSO-FTS instrument on-board GOSAT satellite features high optical throughput, fine spectral resolution, and a wide spectral coverage (from VIS to TIR in four bands). The reflective radiative energy is covered by the VIS and SWIR (Shortwave Infrared) ranges, while the emissive portion of radiation from Earth's surface and the atmosphere is covered by the MWIR (Midwave Infrared) and TIR (Thermal Infrared) ranges. These spectra include the absorption lines of greenhouse gases such as carbon dioxide (CO2) and methane (CH4). The TANSO-CAI instrument on-board GOSAT satellite is a radiometer in the spectral ranges of ultraviolet (UV), visible, and SWIR to correct cloud and aerosol interference. The imager has continuous spatial coverage, a wider field of view, and higher spatial resolution than the FTS in order to detect the aerosol spatial distribution and cloud coverage. Using the multispectral bands, the spectral characteristics of the aerosol scattering can be retrieved together with optical thickness. In addition, the UV-band range observations provide the aerosol data over land. With the FTS spectra, imager data, and the retrieval algorithm to remove cloud and aerosol contamination, the column density of the gases can be the column density of the gases can be retrieved with an accuracy of 1%. The full ESA archive and newly acquired/systematically processed GOSAT FTS and CAI products are available in the following processing levels: FTS Observation mode 1 L1B, day (FTS_OB1D_1) FTS Observation mode 1 L1B, night (FTS_OB1N_1) FTS Special Observation L1B, day (FTS_SPOD_1) FTS Special Observation L1B, night (FTS_SPON_1) FTS L2 CO2 profile, TIR (FTS_P01T_2) FTS L2 CH4 profile, TIR (FTS_P02T_2) FTS L2 CH4 column amount, SWIR (FTS_C02S_2) FTS L2 CO2 column amount, SWIR (FTS_C01S_2) FTS L2 H2O column amount, SWIR (FTS_C03S_2) FTS L3 global CO2 distribution, SWIR (FTS_C01S_3) FTS L3 global CH4 distribution, SWIR (FTS_C02S_3) FTS L4A global CO2 flux, annual in text format (FTS_F01M4A) FTS L4A global CO2 flux, annual in netCDF format (FTS_F03M4A) FTS L4A global CO2 distribution (FTS_P01M4B) FTS L4A global CH4 flux, annual in text format (FTS_F02M4A) FTS L4A global CH4 flux, annual in netCDF format (FTS_F04M4A) FTS L4A global CH4 distribution (FTS_P02M4B) CAI L1B data (CAI_TRB0_1) CAI L1B+ (CAI_TRBP_1) CAI L2 cloud flag (CAI_CLDM_2) CAI L3 global reflect. distrib. clear sky (CAI_TRCF_3) CAI L3 global radiance distrib. all pixels (CAI_TRCL_3) CAI L3 global NDVI (CAI_NDVI_3). All products are made available as soon as processed and received from JAXA. To satisfy NearRealTime requirements, ESA also provides access to the FTS L1X products, which are the NRT version of FTS L1B products. The main difference between L1X and L1B is that L1X does not include CAM data, best-estimate pointing-location, and target point classification, but most of all the L1X products are available on the ESA server between 2 and 5 hours after acquisition. The L1X products remains on the FTP server for 5 days, the time for the corresponding L1B to be available. A document describing the differences between L1X and L1B products is listed in the available resources. For more details on products, please refer to below product specifications.

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    VT GOCE Data

    This collection contains the VT GOCE software and associated data set needed to run the software that is used for GOCE data visualisation.