Minimize Dataset Details

For an overview on the MIRAS instrument anomalies and their impact on the SMOS mission data availability see Experienced MIRAS Anomalies and Mission Impact.

Detailed SMOS unavailability and anomalies reports are produced by the SMOS Flight Operation (FOS) team and are available here:

For weekly reports see the respective links below:

SMOS Flight Operation Segment Weekly Reports 2019
        Week 51 Week 52        
Week 41 Week 42 Week 43 Week 44 Week 45 Week 46 Week 47 Week 48 Week 49 Week 50
Week 31 Week 32 Week 33 Week 34 Week 35 Week 36 Week 37 Week 38 Week 39 Week 40
Week 21 Week 22 Week 23 Week 24 Week 25 Week 26 Week 27 Week 28 Week 29 Week 30
Week 11 Week 12 Week 13 Week 14 Week 15 Week 16 Week 17 Week 18 Week 19 Week 20
Week 1 Week 2 Week 3 Week 4 Week 5 Week 6 Week 7 Week 8 Week 9 Week 10

SMOS Flight Operation Segment Weekly Reports (Archive)
2010 2011 2012 2013 2014 2015 2016 2017 2018

 


Island of Borneo

02 October 2019

Web Content Image

Smoke plumes over Kalimantan

This false-colour Proba-V image of September 18, shows an abundance of smoke plumes over the South Eastern area of the island of Borneo.

Fires are common in the area during September and October, as farmers clear agricultural debris to make way for crops and livestock, and prepare the land for new planting of oil palm and acacia pulp.

This year the fire season was more intense and the thick smoke caused schools to close, impacted air traffic and triggered health warnings due to poor air quality.

Peat fires can continue to burn for months, until the wet season arrives, and are shown to emit large amounts of greenhouse gases (CO2 and methane).

borneo

© ESA-BELSPO 2019, produced by VITO
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Southern Oromia, Ethiopia

16 October 2019

Web Content Image

UN-FAO World Food Day

On 16 October, The Food and Agriculture Organisation of the United Nations (UN-FAO) calls the world to action to tackle global hunger on World Food Day.

To commemorate this event, the animation below shows 10-daily Net Primary Productivity (NPP, crop productivity) in the 2019 growing season of the pastoral areas of southern Oromia, Ethiopia.

The imagery shows the greening of cropland along the banks of the Genale and Gestro rivers, and surrounding pasture, following the rains between February and May (the shorter Belg season).

The NPP images are based on Proba-V observations and produced by VITO in the context of the FAO-funded project 'Remote sensing-based database for the monitoring of agricultural water and land productivity in Africa and the Middle East (WaPOR)', coordinated by eLeaf (NL).

borneo

© ESA-BELSPO 2019, produced by VITO
View large version of this image


Information on all periods of planned and unplanned unavailability of CryoSat SIRAL data is provided below.

Lists of the unavailability periods for each year of the mission (and the full mission) are available as downloadable files:

Year
PDF file
Excel file
2019
2018
2017
2016
2015
2014
2013
2012
2011
2010
Full mission
(2010 – present)


The unavailability periods from the last 6 months are listed below:

Unavailability Start
Time (UTC)
Unavailability Stop
Time (UTC)
Planned/
Unplanned
Reason
SIRAL Mode Affected
2019-09-29 21:40:42
2019-09-30 09:35:18
Unplanned
Platform Anomaly
All
2019-09-22 14:51:05
2019-09-22 15:01:47
Planned
Orbit Manoeuvre
All
2019-09-22 14:39:26
2019-09-22 14:50:49
Planned
Orbit Manoeuvre
All
2019-09-17 13:54:41
2019-09-17 15:49:40
Planned
Orbit Manoeuvre
All
2019-09-14 03:00:54
2019-09-14 03:10:50
Planned
Orbit Manoeuvre
All
2019-09-14 02:49:15
2019-09-14 03:00:38
Planned
Orbit Manoeuvre
All
2019-08-08 14:47:08
2019-08-08 15:09:44
Planned
On-board Maintenance
All
2019-07-31 04:08:21
2019-07-31 05:57:10
Planned
Orbit Manoeuvre
All
2019-07-07 01:53:23
2019-07-08 07:47:50
Unplanned
Platform Anomaly
All
2019-06-06 05:15:38
2019-06-06 07:01:50
Planned
Orbit Manoeuvre
All
2019-05-17 10:38:13
2019-05-17 12:42:26
Unplanned
Ground Segment Anomaly
SAR & SARIn
2019-04-25 18:56:00
2019-04-25 19:11:41
Planned
Roll Manoeuvre
All
2019-04-25 18:36:00
2019-04-25 18:46:02
Planned
Roll Manoeuvre
All
22019-04-25 18:11:00
2019-04-25 18:23:02
Planned
Roll Manoeuvre
All
2019-04-25 17:16:00
2019-04-25 18:01:01
Planned
Roll Manoeuvre
All
2019-04-25 16:58:00
2019-04-25 17:06:02
Planned
Roll Manoeuvre
All
2019-04-25 16:37:00
2019-04-25 16:45:02
Planned
Roll Manoeuvre
All
2019-04-25 16:01:00
2019-04-25 16:27:01
Planned
Roll Manoeuvre
All
2019-04-25 06:40:00
2019-04-25 06:52:12
Planned
Roll Manoeuvre
All
2019-04-25 06:13:00
2019-04-25 06:30:01
Planned
Roll Manoeuvre
All
2019-04-25 05:43:00
2019-04-25 06:00:02
Planned
Roll Manoeuvre
All
2019-04-25 05:02:00
2019-04-25 05:33:02
Planned
Roll Manoeuvre
All
2019-04-25 04:35:00
2019-04-25 04:52:01
Planned
Roll Manoeuvre
All
2019-04-25 04:05:00
2019-04-25 04:22:02
Planned
Roll Manoeuvre
All
2019-04-25 03:29:00
2019-04-25 03:55:02
Planned
Roll Manoeuvre
All

Second edition of Sentinel Hub Custom Script Contest

22 October 2019

Have you got a great idea for producing new and interesting algorithms, to process Earth Observation data?

Then the Sentinel Hub Custom Script Contest is for you!

Sentinel Hub, together with its data partners, the Copernicus EU Earth Observation programme and the European Space Agency, are looking for new and innovative ideas and scripts. The EO Browser offers data from Copernicus Sentinel and ESA missions, with tools to visualise, analyse and process that wealth of data.

The success of the first Sentinel Hub Custom Script Contest in Spring 2019 has motivated the Sentinel Hub team to repeat it this Autumn.

From 15 October 2019 until 15 January 2020, you can submit up to three different scripts.

This remotely run hackathon engages data scientists, remote sensing scientists, students (from high school to university), and the general public worldwide, to share EO data available to everyone.

Unlike the first round, this time all the submitted scripts will compete under one common category, no matter which data source (Sentinels, Landsat, etc.) the scripts were used for.

All the entries will be judged by experts on functionality and usefulness, as well as possible commercial potential. The authors of the best three scripts will win attractive prizes, as well as the author(s) of the best script by a high schooler or high school team.

For more information please visit the contest website.

Sentinel Hub Custom Script Contest


Introduction STSE Swarm EOSS DISC SSA SWE National Other

DISC Activities

Swarm DISC (the Data, Innovation and Science Cluster) is a consortium of expert partners with a project office at DTU Space.



Swarm-Aurora

The aurora is a unique manifestation of plasma processes in the near-Earth space environment. Swarm-Aurora was designed to facilitate and drive the use of Swarm in situ measurements in auroral science. Swarm-Aurora will build a bridge between the Swarm and auroral science communities. Swarm-Aurora (http://swarm-aurora.phys.ucalgary.ca) is a web-based tool which provides access to quick-look summary data for a large array of ground-based instruments, as well as Swarm in situ measurements. This web interface allows researchers to quickly and efficiently browse Swarm and ASI data sets to identify events of interest. Swarm-Aurora drastically lowers the barrier of entry to optical and swarm data, reducing the time needed to do a survey of Swarm and ground-based instruments for investigating auroral phenomena. We expect this project to form the basis of the next generation of data viewers and access protocols for auroral science. The platform is built to be scalable (to other instruments, both ground and in situ) and useable for decades to come.

More information about this project can be found at
http://swarm-aurora.phys.ucalgary.ca
Project duration: November 2015 - March 2017. This project is funded by ESA via the Swarm DISC, Sub-Contract No. SW-CO-DTU-GS-016.

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Multi-Approach Gravity Field models from Swarm GPS data (MAGF)

Although the knowledge of the gravity of the Earth has improved considerably with CHAMP, GRACE and GOCE satellite missions, the geophysical community has identified the need for the continued monitoring of its time-variable component with the purpose of estimating the hydrological and glaciological yearly cycles and long-term trends. Currently, the GRACE-FO satellites are the sole provider of this data, while previously the GRACE mission collected these data for 15 years. Between the GRACE and GRACE-FO data periods lies a gap spanning from July 2017 to May 2018, while the Swarm satellites have collected gravimetric data with its GPS receivers since December 2013.
This project aims at providing high-quality gravity field models from Swarm data that constitute an alternative and independent source of gravimetric data, which could help alleviate the consequences of the 10-month gap between GRACE and GRACE-FO, as well as the short gaps in the existing GRACE and GRACE-FO monthly time series.
The geodetic community has realized that the combination of the different gravity field solutions is superior to any individual model. This project exploits this fact and delivers to the highest quality monthly-independent gravity field models, resulting from the combination of 4 different gravity field estimation approaches. All solutions are unconstrained and estimated independently from month to month.
Preliminary comparison with GRACE data has demonstrated that the signal in the Swarm gravity field models is restricted to degrees 12-15 and below, while the temporal correlations decrease considerably above degree 10. The 750km smoothed models are suitable to retrieve the global annual temporal variations of Earth's gravity field and the agreement with GRACE over large basins (e.g. Amazon, Congo-Zambezi, Ganges-Brahmaputra) is within 1cm RMS in terms of Equivalent Water Height. The global RMS relative to a bias, trend, an annual and semi-annual model derived from GRACE over deep ocean areas (those roughly 1000km from shorelines) is under 1mm geoid height during periods of low geomagnetic activity.

Project documentation:

More information about this project can be found at
https://www.researchgate.net/project/Multi-approach-gravity-field-models-from-Swarm-GPS-data
This project was funded in 2017 by ESA via Swarm DISC, Sub-Contract No. SW-CO-DTU-GS-111.

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Auroral Electrojet and auroral Boundaries estimated from Swarm observations (Swarm-AEBS)

The Swarm mission provides an excellent opportunity for studies related to the ionospheric currents, aurora, magnetosphere-ionosphere coupling, and space weather especially at high latitudes.
In the Swarm-AEBS project, a set of new Swarm data products that characterize the auroral electrojets and auroral oval boundaries will be derived from Swarm magnetic field measurements. These include the electrojet sheet current density as well as the total horizontal sheet and associated large-scale field-aligned current density along the Swarm orbit ionospheric footprints at auroral latitudes, estimated using the Spherical Elementary Current System (SECS) method. The electrojet sheet current density will also be estimated using the Line Current (LC) method as this method allows extending the analysis to cover the polar cap region as well. The electrojet boundaries and peaks will also be provided, the latter characterized in terms of peak current density and peak magnetic field disturbance at ground level. The set of products is completed by auroral oval boundaries, associated with auroral precipitation, that are estimated from the presence of small-scale (<150 km) field-aligned currents.

More information about this project can be found at
http://www.space.fmi.fi/MIRACLE/Swarm_AEBS/
Project duration: January 2018 - January 2020. This project is funded by ESA via the Swarm DISC, Sub-Contract No. SW-CO-DTU-GS-112.

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The Average Magnetic field and Polar current System model (AMPS)

The outcome of this project is a new climatological model of polar ionospheric currents, based on magnetic field measurements from the CHAMP and Swarm satellites. The model is a representation of the global disturbance magnetic field associated with ionospheric currents, as a function of solar wind speed, the interplanetary magnetic field, the tilt angle of the Earth's magnetic dipole, and the F10.7 solar flux index. The ionospheric current system, and an estimate of the magnetic disturbances on ground, can be derived from the model coefficients. This is an advancement compared to earlier empirical models because the full horizontal current density can be derived directly from magnetic field measurements, without any assumption about conductivity or electric fields. The AMPS model is valid in both hemispheres, and no assumptions about hemispheric symmetries have been applied. For this reason, and since we have corrected for variations in Earth's magnetic field, the model can be used to do precise comparisons of the ionospheric current system in the two hemispheres.

The AMPS forward code, pyAMPS, is available at https://github.com/klaundal/pyAMPS. This code can be used to calculate model magnetic field and currents for a given set of input parameters. The documentation for the code can be found at https://pyamps.readthedocs.io.

A web-interface for the model can be found at https://birkeland.uib.no/data/amps/. Here you can plot the model current system or magnetic field disturbances on polar maps in the two hemispheres. The model output can be changed using drop-down menus, and the input can be changed by adjusting sliders or by clicking a plot of the solar wind conditions from the previous 24 hours.

Useful model information:

Even more detailed documentation:

Project duration: September 2017 - August 2018. This project was funded by ESA via the Swarm DISC, Sub-Contract No. SW-CO-DTU-GS-113.

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Ionospheric Plasma IRregularities characterised by the Swarm satellites (IPIR)

Ionospheric plasma is often characterised by irregularities and fluctuations in its density. They are the result of various plasma instabilities, reflecting complex interactions in the near-Earth space environment. Plasma density irregularities and fluctuations can influence the propagation of trans-ionospheric radio waves and are thus of importance for ground based operations that rely on precise positioning with Global Navigation Satellite Systems (GNSS). Understanding ionospheric plasma irregularities and fluctuations is thus of both scientific and practical interest.
Through the IPIR project we will develop a high-level, global product based on Swarm measurements that will characterize ionospheric irregularities and fluctuations, and address the needs of scientific community and operational users. The product will provide characteristics of plasma density structures in the ionosphere and will assign them to predominant plasma processes and regions in the ionosphere. This result will open possibilities for extensive, global studies of plasma irregularities and fluctuations. IPIR will also provide indication, in the form of a numerical value index, on their severity of the plasma fluctuations for the integrity of trans-ionospheric radio signals and hence the accuracy of GNSS precise positioning.

More information about this project can be found at
http://www.mn.uio.no/fysikk/english/research/projects/swarm-disc-ipir/
Project duration: November 2017 - November 2018. This project is funded by ESA via the Swarm DISC, Sub-Contract No. SW-CO-DTU-GS-114.

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Geomagnetic Virtual Observatories (GVO)

In this project, Geomagnetic Virtual Observatories (GVO) data series are derived from Swarm data collected around target locations. The GVO data product consists of time series of vector magnetic field values at fixed locations, on a uniform grid at satellite altitude. Such data, regularly distributed in space and time are suitable for modelling the main geomagnetic field, for core flow inversion studies, and for data assimilation studies of the core dynamo process. GVOs are designed to make Swarm data more accessible to researchers studying the physics of the core dynamo process, and related phenomenon such are secular variation, geomagnetic jerks and rapid core dynamics. The GVOs data product also provide valuable information to those interested in investigating magnetospheric and ionospheric magnetic signals on timescales of months and longer. GVO time series including all field contributions, and those processed to isolate the core field, are available along with estimated errors.

More information about this project can be found at
https://www.space.dtu.dk/english/Research/Projects/Project-descriptions/Geomagnetic-Virtual-Observatories
Project duration: June 2019 – June 2020. This project is funded by ESA via the Swarm DISC, Sub-Contract No. SW-CO-DTU-GS-121.

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Plasmapause Related boundaries in the topside Ionosphere as derived from Swarm Measurements (PRISM)

The position of the plasmapause (PP) is a key parameter in space weather. The plasmapause is defined as the outer boundary of the Earth-corotating plasma (the plasmasphere) characterised by steep plasma density gradients. The variation of the PP location is a very sensitive indicator of geomagnetic activity. There are many space phenomena (e.g., cold plasma and energetic particle populations, etc.) separated spatially by the PP, as well as several space processes (e.g., high-latitude magnetosphere-ionosphere coupling processes, etc.) that are dynamically linked to the location of the plasmapause.
In this project, Plasmapause Related boundaries in the topside Ionosphere as determined from Swarm Measurements (PRISM), we develop products that characterize PP related phenomena in the topside ionosphere. These are the mid-latitude ionospheric trough (MIT) based on electron density and temperature measurements of the Langmuir probe onboard and also from GPS TEC estimates, as well as the equatorward boundary of small-scale field-aligned currents leading to an index that can be used as an estimate of the midnight position of the plasmapause. The MIT equatorward/poleward edge is closely related to the ionospheric footprint of the PP/the auroral oval, respectively. The midnight PP index based on small-scale FAC signatures observed at low Earth orbit (LEO) altitudes. Both Swarm products, the MIT location and the midnight PP index, will be provided separately for the three individual Swarm satellites.
PRISM is a collaborative project between Helmholtz Centre Potsdam - GFZ German Research Centre for Geosciences, Germany and the Mining and Geological Survey of Hungary (Magyar Bányászati és Földtani Szolgálat, MBFSZ), Hungary.

More information about this project can be found at
https://www.gfz-potsdam.de/en/section/geomagnetism/projects/prism-plasmapause-related-boundaries-in-the-topside-ionosphere-as-derived-from-swarm-measurements/
Project duration: November 2019 – November 2020. This project is funded by ESA via the Swarm DISC, Sub-Contract No. SW-CO-DTU-GS-122.

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