- All Categories (4700)
- Data (15)
- News (16)
- Missions (1)
- Events (22)
- Tools (4)
- Activities (6)
- Documents (4636)
Activity - Cal/Val activities
UV nadir viewing galleries
Atmospheric chemistry nadir observation from space now spans nearly forty years. The early UVN (UV nadir missions) mainly focused on measuring ozone.
Document - General Reference
Two Years of ERS-1 Data Exploitation
This bulletin reports on the first two years of the ERS-1 satellite.
News - Thematic area articles
Transforming space data into climate action
ESA’s Earth observation activities are playing a key role in the revitalised global drive to combat climate change.
News - Success Stories
Trailblazing ERS-2 mission enables climate change applications
As ESA’s ERS-2 satellite approaches Earth’s atmosphere for reentry, it’s time to reflect on the mission’s great achievements in powering climate-related applications.
Document - Product Cal/Val Plan/Report
The-Calibration-of-the-ERS-1-Radar-Altimeter.pdf
This report describes the calibration of ERS-1's Radar Altimeter during the commissioning phase, which used Venice as a basis for calibration.
Document - Technical Note
The GOME Thermal Environment
Long Term Monitoring Of The GOME Thermal Environment
Document - General Reference
The Global Ozone Monitoring Experiment (GOME)
This document reports on what can be expected from the improved GOME-2 instrument. In order to underpin the case, the achievements of the existing instrument, GOME-1, in terms of instrument performance, routinely generated data products, and scientific results achieved so far are first summarised, before extrapolating to the expected performances and capabilities of the enhanced version GOME-2 being built for METOP.
Document - Product Cal/Val Plan/Report
The ERS SPTR2000 Altimetric Range Correction- Results and Validation
Document - Technical Note
Technical-Note-on-Data-Flows-and-Volumes-between-ISS-and-Other-Entities-of-the-ERS-1-Ground-Segment.pdf
This document lists all the messages exchanged between the Interface Subset (ISS) and the other entities of the ERS-1 Ground Segment.
Document - General Reference
Taking-the-Measure-of-Earth-Fifteen-Years-of-Progress-in-Radar-Altimetry.pdf
This article is extracted from ESA Bulletin Nr. 128.
Document - Proceedings
Second-EPS-MetOp-RAO-Workshop.pdf
Proceedings of the 2nd EPS/MetOp RAO Workshop held from 20-22 May 2009 in Barcelona, Spain.
Data - EO Sign In Authentication (Open)
Sea Ice Thematic Data Product [ALT_TDP_SI]
This is the Sea Ice Thematic Data Product (TDP) V1 resulting from the ESA FDR4ALT project and containing the sea ice related geophysical parameters, along with associated uncertainties: snow depth, radar and sea-ice freeboard, sea ice thickness and concentration. The collection covers data for the ERS-1, ERS-2 and Envisat missions, and bases on Level 1 data coming from previous reprocessing (ERS REAPER and the Envisat V3.0) but taking into account the improvements made at Level 0/Level 1 in the frame of FDR4ALT (ALT FDR). The Sea Ice TDP provides data from the northern or southern hemisphere in two files corresponding to the Arctic and Antarctic regions respectively for the winter periods only, i.e., October to June for the Arctic, and May to November for the Antarctic. For many aspects, the Sea Ice TDP is very innovative: First time series of sea-ice thickness estimates for ERS Homogeneous calibration, allowing the first Arctic radar freeboard time series from ERS-1 (1991) to CryoSat-2 (2021) Uncertainties estimated along-track with a bottom-up approach based on dominant sources ERS pulse blurring error corrected using literature procedure [Peacock, 2004] The FDR4ALT products are available in NetCDF format. Free standard tools for reading NetCDF data can be used. Information for expert altimetry users is also available in a dedicated NetCDF group within the products. Please consult the FDR4ALT Product User Guide before using the data. The FDR4ALT datasets represent the new reference data for the ERS/Envisat altimetry missions, superseding any previous mission data. Users are strongly encouraged to make use of these datasets for optimal results.