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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 - Campaigns (Open)

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    PolarGap

    The primary objective of the PolarGap campaign was to carry out an airborne gravity survey covering the southern polar gap of the gravity field mission GOCE, beyond the coverage of the GOCE orbit.

  • Data - Campaigns (Open)

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    PhotoProxy 2019

    The Photosynthetic-Proxy Experiment campaign address relevant open aspects that are related to the quantitative assessment of vegetation photosynthesis and vegetation stress from space.

  • Data - Campaigns (Open)

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    GWEX

    The aim of this study was to perform Gravity Wave (GW) observations with the airborne IRLI GLORIA on board of HALO. In this way for a first time 3-D tomographic reconstructions of mesoscale GW events in the lower stratosphere were taken.

  • Data - Campaigns (Open)

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    AfriScat

    AfriScat campaign, a follow on to TropiSCAT campaign, was to acquire long-term P-Band radar data in an African tropical forest.

  • Data - Fast Registration with approval (Restrained)

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    ERS-1/2 ATSR Averaged Surface Temperature [AT1/AT2_AR__2P]

    The Averaged Surface Temperature Product (AST) contains averaged geophysical data at two different resolutions, and with respect to two different averaging schemes: measurement data sets at resolutions of 0.5 by 0.5 degrees and 10 by 10 arcmin with respect to a latitude/longitude grid; other data sets contain data averaged over equal area cells of 50 by 50 km and 17 by 17 km aligned with the satellite ground track. Both top-of-atmosphere and surface data sets are provided. The surface temperature data sets provide, for sea cells, nadir and dual view sea surface temperatures, and for land cells, land surface temperature (currently 11 micron BT) and NDVI. Cloud data is also included. No ADS are included in the AST product; auxiliary data is contained within the MDS. The data sets of the AST product are arranged by surface type and resolution. The 3rd reprocessing of ATSR data was performed in 2013; the processing updates that have been put in place and the scientific improvements are outlined in full in the User Summary Note for the Third ERS ATSR Reprocessing.

  • Data - Project Proposal (Restrained)

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    COSMO-SkyMed ESA archive

    The COSMO-SkyMed archive collection consists of COSMO-SkyMed products requested by ESA supported projects over their areas of interest around the world. The dataset regularly grows as ESA collects new products over the years. The following list delineates the characteristics of the SAR measurement modes that are disseminated under ESA Third Party Missions (TPM). STRIPMAP HIMAGE (HIM): Achieving medium resolution (3 m x 3 m single look), wide swath imaging (swath extension ≥40 km). STRIPMAP PINGPONG (SPP): Achieving medium resolution (15 m), medium swath imaging (swath ≥30 km) with two radar polarization's selectable among HH, HV, VH and VV. SCANSAR WIDE (SCW): Achieving radar imaging with swath extension of 100 x 100 km2 and a spatial resolution of 30 x 30 m2. SCANSAR HUGE (SCH): Achieving radar imaging with swath extension of 200 x 200 km2 and a spatial resolution selectable of 100 x 100 m2. Processing Levels: Level 1A - Single-look Complex Slant - (SCSB and SCSU): RAW data focused in slant range-azimuth projection, that is the sensor natural acquisition projection; product contains In-Phase and Quadrature of the focused data, weighted and radiometrically equalised.The processing of the 1A_SCSU product differs from that of the 1A_SCSB product for the following features:a non-weighted processing is performed, which means that windowing isn't applied on the processed bandwidth; radiometric equalisation (in terms of compensation of the range antenna pattern and incidence angle) is not performed; hence only compensation of the antenna transmitter gain and receiver attenuation and range spreading loss is applied. Level 1B - Detected Ground Multi-look (DGM): Product obtained detecting, multi-looking and projecting the Single-look Complex Slant data onto a grid regular in ground. Spotlight Mode products are not multi-looked. Level 1C - Geocoded Ellipsoid Corrected (GEC) and Level 1D - Geocoded Terrain Corrected (GTC): Obtained projecting the Level 1A product onto a regular grid in a chosen cartographic reference system. In case of Lev 1C the surface is the earth ellipsoid while for the Lev 1D a DEM (Digital Elevation Model) is used to approximate the real earth surface. Spatial coverage: Check the spatial coverage of the collection on a map available on the Third Party Missions Dissemination Service. As per ESA policy, very high-resolution data over conflict areas cannot be provided.

  • Data - Project Proposal (Restrained)

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    COSMO-SkyMed full archive and tasking

    The archive and new tasking X-band SAR products are available from COSMO-Skymed (CSK) and COSMO-SkyMed Second Generation (CSG) missions in ScanSAR and Stripmap modes, right and left looking acquisition (20 to 60° incidence angle). COSMO-SkyMed modes: Acquisition Mode Single look Resolution [Az. X. Rg, SCS] (m) Scene size [Az. X. Rg] (km) Polarisation Scene duration (seconds) Number of looks Multilook resolution (m) Geolocation accuracy ±3 s (m) [DGM, GEC, GTC] Stripmap Himage 2.6 x 3 40 x 40 Single: HH, HV, VH, VV 7 3 5 25 Stripmap PingPong 9.7 x 11 30 x 30 Alternate: HH/VV, HH/HV, VV/VH 6 3 20 25 ScanSAR Wide 23 x 13.5 100 x 100 Single: HH, HV, VH, VV 15 4 - 9 30 30 ScanSAR Huge 38 x 13.5 200 x 200 Single: HH, HV, VH, VV 30 25 - 66 100 100 COSMO-Skymed Second Generation Modes: Acquisition Mode Single look Resolution [Az. X. Rg, SCS] (m) Scene size [Az. X. Rg] (km) Polarisation Scene duration (seconds) Number of looks Multilook resolution (m) Geolocation accuracy ±3σ (m) [DGM, GEC, GTC] Stripmap 3 x 3 40 x 40 Single (HH, VV, HV, VH) or Dual (HH+HV, VV+VH) 7 2 x 2 4 x 4 6 x 7 11 x 14 3.75 Stripmap PingPong 12 x 5 30 x 30 Alternate (HH/VV, HH/HV+VV/VH) 6 1 x 2 2 x 5 12 x 10 23 x 26 12 QuadPol 3 x 3 40 x 15 Quad (HH+HV+VV+VH) N/A 2 x 2 4 x 4 6 x 7 11 x 14 3.75 ScanSAR 1 20 x 4 100 x 100 Single (HH, VV, HV, VH) or Dual (HH+HV, VV+VH) 15 1 x 3 1 x 5 2 x 8 20 x 14 23 x 27 35 x 40 12 ScanSAR 2 40 x 6 200 x 200 Single (HH, VV, HV, VH) or Dual (HH+HV, VV+VH) 30 1 x 4 1 x 7 3 x 16 40 x 27 47 x 54 115 x 135 12 Following Processing Levels are available, for both CSK and CSG: SCS (Level 1A, Single-look Complex Slant): Data in complex format, in slant range projection (the sensor's natural acquisition projection) and zero doppler projection, weighted and radiometrically equalised; the coverage corresponds to the full resolution area illuminated by the SAR instrument DGM (Level 1B, Detected Ground Multi-look): Product obtained detecting, multi-looking and projecting the Single-look Complex Slant data onto a grid regular in ground: it contains focused data, amplitude detected, optionally despeckled by multi-looking approach, radiometrically equalised and represented in ground/azimuth projection GEC (Level 1C, Geocoded Ellipsoid Corrected): Focused data, amplitude detected, optionally despeckled by multi-looking approach, geolocated on the reference ellipsoid and represented in a uniform preselected cartographic presentation. Any geometric correction derived by usage of terrain model isn't applied to this product by default GTC (Level 1D, Geocoded Terrain Corrected): Focused data, fully calibrated with the usage of terrain model, amplitude detected, optionally despeckled by multi-looking approach, geolocated on a DEM and represented in a uniform preselected cartographic presentation. The image scene is located and accurately rectified onto a map projection, through the use of Ground Control Points (GCPs) and Digital Elevation Model (DEM); it differs from GEC for the use of the DEM (instead of reference ellipsoid) for the accurate conversion from slant to ground range and to approximate the real earth surface. The list of available data can be retrieved using the CLEOS COSMO-SkyMed products catalogue. User registration is required to use the catalogue. As per ESA policy, very high-resolution data over conflict areas cannot be provided.

  • Data - Data Description

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    ERS-1/2 ATSR Meteo Product [AT1/AT2_MET_2P]

    The data is a fast delivery Meteo product designed for use by meteorological offices, and contains averaged BT and SST at 10 arc minute resolution. The single MDS comprises the fields of MDS#3 (SST record, 10 arc min cell) of the AST product, with the addition of Average Brightness Temperature (ABT) fields (BT/TOA sea record, 10 arc min cell) to make it more self-contained. The 3rd reprocessing of ATSR data was performed in 2013; the processing updates that have been put in place and the scientific improvements are outlined in full in the User Summary Note for the Third ERS ATSR Reprocessing.

  • Data - Fast Registration with approval (Restrained)

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    ALOS PALSAR International Polar Year Antarctica

    International Polar Year (IPY), focusing on the north and south polar regions, aimed to investigate the impact of how changes to the ice sheets affect ocean and climate change to the habitats in these regions. IPY was a collaborative project involving over sixty countries for two years from March 2007 to March 2009. To meet the project goal, world space agencies observed these regions intensively using their own Earth observation satellites. One of these satellites, ALOS - with the PALSAR (Phased Array type L-band Synthetic Aperture Radar) sensor - observed these regions independently from day-night conditions or weather conditions. Carrying on this initiative, ESA is providing the ALOS PALSAR IPY Antarctica dataset, which consists of full resolution ALOS PALSAR ScanSAR WB1 products (100 m spatial resolution) over Antarctica from July 2008 (cycle 21) to December 2008 (Cycle 24) and from May 2009 (cycle 27) to March 2010 (cycle 31). Missing products between the two periods above is due to L0 data over Antarctica not being available in ADEN archives and not processed to L1. Spatial coverage: Check the spatial coverage of the collection on a map available on the Third Party Missions Dissemination Service.

  • Data - Data Description

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    ERS-1/2 ATSR ARC L2P/L3U [UPA-L2P_GHRSST/L3U_GHRSST]

    The L2P product contains full resolution dual-view Sea Surface Temperature (SST) values. These SST use the ARC SST retrieval and cloud screening which differ from the methods used to produce the Gridded Surface Temperature (ATS_NR__2P) products. In addition to SST, the L2P products contain the ATSR Saharan Dust Index (ASDI) and the clear-sky probability estimated by the ARC cloud detection algorithm. The L2P processor also generates L3U products; these are the L2P products averaged onto a regular grid at 0.1 degree resolution (they are therefore similar to the AR / Meteo Envisat-format products). The L2P and L3U products are provided in NetCDF-4 format following GHRSST Data Specifications (GDS) v2. The L2P/L3U archive has been reprocessed with a new processor based upon the ARC SST; the changes are outlined in full in the L2P Reprocessing User Note.

  • Data - External Data (Restrained)

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    ERS-1/2 ATSR ARC Level 3 products [AT1/AT2_AVG_3PAARC]

    The recommended ATSR Level 3 products for Sea Surface Temperature (SST) applications are the ARC (ATSR Re-processing for Climate) Level 3 products. ARC reprocesses the ATSR multi-mission archive using new cloud detection and SST retrievals to produce a homogenous record of sea surface temperature. The main ARC objective is to reduce regional biases in retrieved SST to less than 0.1 K for all global oceans while creating a very homogenous record with a stability (lack of drift in the observing system and analysis) of 0.05 K per decade. ARC products are available for ATSR-1, ATSR-2 and AATSR. ARC products are provided in netCDF format and contain data for both the skin SST and the SST estimated for depths of 0.2 and 1.0 m (corresponding approximately to drifter and moored buoy depths). The AATSR estimated depth SSTs are adjusted to a local equatorial crossing time of 10:30 (approximately half an hour after observation), to provide continuity with ATSR-1 and ATSR-2 data. The ARC project was led by Chris Merchant (University of Reading, formerly of the University of Edinburgh) and funded by NERC and the UK Government.

  • Data - Fast Registration with approval (Restrained)

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    ERS-1/2 ATSR Gridded Surface Temperature [AT1/AT2_NR__2P]

    The Gridded Surface Temperature (GST) Product is the Level 2 full resolution geophysical product. The product contains gridded sea-surface temperature images using both nadir and dual view retrieval algorithms. The product includes pixel latitude/longitude positions, X/Y offset and the results of the cloud-clearing/land-flagging. It contains a single measurement data set the content of which is switchable, that is to say, the content of each pixel field will depend on the surface type. Specifically, the contents of the data fields will depend on the setting of the forward and nadir cloud flags and the land flag. The 3rd reprocessing of ATSR data was performed in 2013; the processing updates that have been put in place and the scientific improvements are outlined in full in the User Summary Note for the Third ERS ATSR Reprocessing.

  • Data - Fast Registration with approval (Restrained)

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    ERS-1/2 ATSR Gridded Brightness Temperature/Reflectance [AT1/AT2_TOA_1P]

    The Gridded Brightness Temperature/Reflectance (GBTR) product contains top of atmosphere (TOA) brightness temperature (BT) values for the infra-red channels and reflectance values for the visible channels. Values for each channel and for the nadir and forward views occupy separate measurement data sets. Additional MDS contain cloud and land/sea flags and confidence flags for each image pixel. The 3rd reprocessing of ATSR data was performed in 2013; the processing updates that have been put in place and the scientific improvements are outlined in full in the User Summary Note for the Third ERS ATSR Reprocessing.

  • Data - Fast Registration with immediate access (Open)

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    Envisat DORIS Doppler [DOR_DOP_1P]

    This product was generated by the Centre de Traitement Doris Poseidon (CTDP). The DORIS Doppler product (DOR_DOP_1P) was consolidated offline 2-4 weeks after sensing and stored in the F-PAC archive. The file size is 0.5 Mbytes per orbit.

  • Data - Fast Registration with immediate access (Open)

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    Envisat DORIS Precise Orbit [DOR_VOR_AX]

    The latest version of the Envisat DORIS Precise Orbit product, DOR_VOR_AX, was generated by the Centre de Traitement Doris Poseidon (CTDP) using the Geophysical Data Records F standards (GDR-F). The product is used to obtain the satellite orbital parameters (latitude, longitude, height and height rate) by using orbit computation routines. The most significant changes related to the GDR-F standards concern the new ocean tide model (FES2014) and the updated Terrestrial Reference Frame (ITRF2014). The new standards significantly improve all Precise Orbit Determination (POD) metrics with respect to GDR-E. The mean difference and variance of Sea Surface Height (SSH) at crossovers is slightly reduced. The DOR_VOR_AX product adopts the Envisat format, and the size is 0.2 Mbytes per orbit. Users are recommended to apply the GDR-F version, but the previous datasets are still available (i.e. GDR-D and GDR-E versions). See further details in the readme file for Envisat DORIS Precise Orbit Determination files. Comparison of Envisat Sea Level Anomaly trends obtained using DORIS Precise Orbit GDR-E and F standards. North/South patterns are evident. Credits: CNES/CLS.

  • Data - Fast Registration with immediate access (Open)

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    Envisat ASAR Wave Imagette Cross Spectra L1 [ASA_WVS_1P]

    The ASAR Wave product is extracted from the combined SLC and Cross Spectra product, ASA_WVI_1P, which is generated from data collected when the instrument was in Wave Mode using the Cross Spectra methodology. The product is meant for Meteo users. The spatial coverage is up to 20 spectra acquired every 100 km, with a minimum coverage of 5km x 5km. The file size has a maximum of 0.2 Mbytes. Auxiliary data include Orbit state vector, Time correlation parameters, Wave Processing parameters ADS, Wave Geolocation ADS, SQ ADS. The product provides a continuation of the ERS-SAR wave mode data. Output: Wavelength range from 20 to 1000 m in 24 logarithmic steps.

  • 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.

  • Data - EO Sign In Authentication (Open)

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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.

  • Data - EO Sign In Authentication (Open)

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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).

  • Data - Fast Registration with immediate access (Open)

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    ERS PRARE Precise Orbit Product (ERS.ORB.POD/ERS.ORB/PRC)

    The precise orbit results from a data reduction process in which all available tracking data (Single-Lens Reflex, radar altimeter crossovers, PRARE range and Doppler data) and most accurate correction, transformation and dynamical models are taken into account and in which high level numerical procedures are applied. These orbits are "optimal" achievable representations of the real orbital motion under the circumstances of tracking situation and the "state of the art" model situation. The precise orbit product for the ERS satellites are the satellite ephemeris (position and velocity vector) including time tag, given in a well-defined reference frame, together with the nominal satellite attitude information and a radial orbit correction. Several orbit solutions are currently distributed: A new set of ORB POD (Precise Orbit Determination - REAPER v2) computed with the most updated model standards for the complete ERS-1 and ERS-2 mission. A previous set of ORB POD (REAPER v1) data already available on the ESA dissemination site since 2014, covering the ERS-1 full mission and the ERS-2 mission up to July 2003. ORB PRC which is the original Precise Orbit dataset computed during the ERS mission operations for ERS-1 and ERS-2. In the new POD dataset (REAPER v2) for the ERS-1 and ERS-2 missions, two different orbit solutions are provided together with the combined solution to be used for processing of the radar altimeter measurements and the determination of geodetic/geophysical products: those computed by DEOS (Delft Institute of Earth Observation and Space Systems), and those generated by ESOC (European Space Operations Centre) using different software (GEODYN and NAPEOS respectively). Careful evaluation of the various solutions of REAPER v2 has shown that the DEOS solution for both ERS-1 and ERS-2 has the best performance and is recommended to be used as reference. See the ERS Orbit Validation Report. For the previous version of the POD data set (REAPER v1), with ERS-2 mission data only up to 2003, three different orbit solutions together with the combined solution are available. These precise orbits for ERS-1 and ERS-2 have been computed at DEOS, ESOC, and GFZ (Deutschen GeoForschungsZentrums) using different software and different altimeter databases. Combined solutions have been created using three individual solutions for each satellite. All orbits were derived using consistent models in the same LPOD2005 terrestrial reference frame. These new orbit solutions show notable improvement with respect to DGME04 orbits (Scharroo and Visser, 1998). Thus, RMS crossover differences of new orbits improved by 4-9 mm. Careful evaluation of the various solutions has shown that the combined solution for both ERS-1 and ERS-2 has the best performance. All POD orbit files (REAPER v1/v2) are available in SP3c format.