The document summarizes a study that used ground-based and satellite microwave radiometer data to understand the multi-frequency microwave emission properties of the East Antarctic plateau. Key findings include:
1) Ground-based radiometer measurements from the Domex-2 experiment at Dome C, Antarctica showed the plateau surface has very stable brightness temperatures over timescales of months, suitable for calibration of satellite sensors.
2) Comparison to SMOS satellite data showed good agreement in temporal trends, though some jumps in Domex data were attributed to wind effects.
3) Both Domex and SMOS data exhibited increasing brightness temperature with decreasing observation angle, as expected for a smooth uniform surface.
The document summarizes research on hydrological modeling and land use impacts in the Alento River Basin in Italy. Key findings include:
1) The SPERAS project aims to address limitations in hydrological modeling through improved soil and climate data collection. Researchers are monitoring soil moisture, wells, and runoff.
2) Preliminary results show soil moisture varies spatially and over time, with a bimodal distribution during transitions between wet and dry periods due to vertical and lateral flow.
3) Four dominant hydrological periods have been identified that characterize the hillslope response and influence soil moisture statistics. Further modeling will integrate these findings to better represent hydrological processes.
The document proposes a hybrid approach to estimating biophysical parameters from remote sensing data that combines a theoretical forward model with available reference samples. It aims to improve both accuracy and robustness of estimates. The approach formulates the estimation problem and characterizes the deviation between model outputs and observations using reference samples. An experimental analysis applies the approach to soil moisture estimation using microwave data, demonstrating improved performance over solely using the theoretical model.
This document discusses resampling SMOS maps to match the resolution and incidence angles of AQUARIUS in order to enable synergistic analysis between the two missions. It describes using discrete Fourier transforms and Kaiser windows to resample SMOS maps while minimizing interpolation artifacts. The optimal Kaiser window parameters are determined through non-linear optimization to degrade SMOS pixels to equivalent AQUARIUS resolutions. An example resampling of SMOS brightness temperature maps for an overpass is provided. The procedure enables accurate resampling of SMOS maps for direct comparison with AQUARIUS observations.
The document presents a study on retrieving soil moisture under vegetation using dual polarized ALOS PALSAR data. Field measurements were taken at a test site to measure soil properties and vegetation characteristics. PALSAR data from multiple dates was processed to generate HH, HV backscatter and alpha, entropy, and span images. A grassland soil moisture retrieval model was developed that accounts for effects of the grass canopy and thatch layer on the radar signal. The model was able to estimate high resolution surface soil moisture patterns and distributions without using prior vegetation information.
Tandem-L is a proposed mission to monitor dynamic earth processes using radar. It would provide high-resolution measurements of forests, biomass, earthquakes, volcanoes, sea ice, permafrost, soil moisture, glaciers, and ocean currents. Tandem-L aims to improve on current missions by offering 3-10 m resolution with weekly coverage. Its digital beamforming radar system could measure deformation, ice flow, water levels, and generate digital terrain models. The mission would advance understanding of processes like deforestation, forest biomass change, biodiversity, landslides, and help monitor essential climate variables.
SMOS has been in orbit for over 1 year, allowing an assessment of its in-flight system performance.
1) Radiometric accuracy over stable sites like Dome C in Antarctica is within specifications, though T3 and T4 polarizations show some inconsistencies.
2) Geolocation accuracy over Madagascar's coast is within 350-460m, showing a slight degradation over time but still much better than specifications.
The document summarizes a study that used PS-InSAR analysis of COSMO-SkyMed SAR images to monitor subway tunnel construction in Shanghai between 2008-2010. Over 1.5 million persistent scatterers were identified across 600 sqkm, allowing precise tracking and localization of new subway lines. Analysis of surface deformation revealed subsidence profiles matching the dimensions of tunnels. This technique provides an effective global monitoring method for subway construction projects.
The document discusses spaceborne microwave observations of rain from 1972 to 1997, beginning with the launch of the Electrically Scanned Microwave Radiometer (ESMR) on Nimbus 5 and concluding with the launch of the Tropical Rainfall Measuring Mission (TRMM). Early instruments provided the first observations of rain over the ocean but quantitative retrievals were limited. The Special Sensor Microwave/Imager (SSM/I) improved rainfall estimates with additional channels and calibration. Profiling algorithms were developed to retrieve rain rates from passive microwave measurements over ocean. TRMM introduced the first spaceborne precipitation radar to further advance quantitative rainfall measurements from space.
The document summarizes research on hydrological modeling and land use impacts in the Alento River Basin in Italy. Key findings include:
1) The SPERAS project aims to address limitations in hydrological modeling through improved soil and climate data collection. Researchers are monitoring soil moisture, wells, and runoff.
2) Preliminary results show soil moisture varies spatially and over time, with a bimodal distribution during transitions between wet and dry periods due to vertical and lateral flow.
3) Four dominant hydrological periods have been identified that characterize the hillslope response and influence soil moisture statistics. Further modeling will integrate these findings to better represent hydrological processes.
The document proposes a hybrid approach to estimating biophysical parameters from remote sensing data that combines a theoretical forward model with available reference samples. It aims to improve both accuracy and robustness of estimates. The approach formulates the estimation problem and characterizes the deviation between model outputs and observations using reference samples. An experimental analysis applies the approach to soil moisture estimation using microwave data, demonstrating improved performance over solely using the theoretical model.
This document discusses resampling SMOS maps to match the resolution and incidence angles of AQUARIUS in order to enable synergistic analysis between the two missions. It describes using discrete Fourier transforms and Kaiser windows to resample SMOS maps while minimizing interpolation artifacts. The optimal Kaiser window parameters are determined through non-linear optimization to degrade SMOS pixels to equivalent AQUARIUS resolutions. An example resampling of SMOS brightness temperature maps for an overpass is provided. The procedure enables accurate resampling of SMOS maps for direct comparison with AQUARIUS observations.
The document presents a study on retrieving soil moisture under vegetation using dual polarized ALOS PALSAR data. Field measurements were taken at a test site to measure soil properties and vegetation characteristics. PALSAR data from multiple dates was processed to generate HH, HV backscatter and alpha, entropy, and span images. A grassland soil moisture retrieval model was developed that accounts for effects of the grass canopy and thatch layer on the radar signal. The model was able to estimate high resolution surface soil moisture patterns and distributions without using prior vegetation information.
Tandem-L is a proposed mission to monitor dynamic earth processes using radar. It would provide high-resolution measurements of forests, biomass, earthquakes, volcanoes, sea ice, permafrost, soil moisture, glaciers, and ocean currents. Tandem-L aims to improve on current missions by offering 3-10 m resolution with weekly coverage. Its digital beamforming radar system could measure deformation, ice flow, water levels, and generate digital terrain models. The mission would advance understanding of processes like deforestation, forest biomass change, biodiversity, landslides, and help monitor essential climate variables.
SMOS has been in orbit for over 1 year, allowing an assessment of its in-flight system performance.
1) Radiometric accuracy over stable sites like Dome C in Antarctica is within specifications, though T3 and T4 polarizations show some inconsistencies.
2) Geolocation accuracy over Madagascar's coast is within 350-460m, showing a slight degradation over time but still much better than specifications.
The document summarizes a study that used PS-InSAR analysis of COSMO-SkyMed SAR images to monitor subway tunnel construction in Shanghai between 2008-2010. Over 1.5 million persistent scatterers were identified across 600 sqkm, allowing precise tracking and localization of new subway lines. Analysis of surface deformation revealed subsidence profiles matching the dimensions of tunnels. This technique provides an effective global monitoring method for subway construction projects.
The document discusses spaceborne microwave observations of rain from 1972 to 1997, beginning with the launch of the Electrically Scanned Microwave Radiometer (ESMR) on Nimbus 5 and concluding with the launch of the Tropical Rainfall Measuring Mission (TRMM). Early instruments provided the first observations of rain over the ocean but quantitative retrievals were limited. The Special Sensor Microwave/Imager (SSM/I) improved rainfall estimates with additional channels and calibration. Profiling algorithms were developed to retrieve rain rates from passive microwave measurements over ocean. TRMM introduced the first spaceborne precipitation radar to further advance quantitative rainfall measurements from space.
Ice profile classification - Matthew Wadham-GagnonWinterwind
This document summarizes an ice profile classification system based on ISO 12494 that was presented by Matthew Wadham-Gagnon. It describes how TCE measures ice load on its research wind turbines and infrastructure in Quebec, Canada during icing events to classify the ice profile using ISO standards. Metrics like ice thickness, shape, and weight are used to assign ice classes from 1 to 10 for rime ice and 1 to 6 for glaze ice. An example icing event from April 2012 that resulted in ice class 3 to 5 is analyzed using meteorological data and its impact on turbine production. Over
TH1.T04.2_MULTI-FREQUENCY MICROWAVE EMISSION OF THE EAST ANTARCTIC PLATEAU_IG...grssieee
The document summarizes an experiment called Domex-2 that was conducted at Dome C, Antarctica between 2008-2010 to measure microwave emission from the East Antarctic plateau using ground-based and satellite instruments. Measurements from the Domex-2 radiometers showed high temporal stability of brightness temperatures at vertical polarization but more fluctuation at horizontal polarization as expected. Angular trends from Domex-2 matched well with data from the SMOS satellite. An electromagnetic model was developed and validated against the satellite and ground measurements, demonstrating the mechanisms controlling microwave emission from the ice sheet.
Alnes et al gravity and subsidence monitoringStatoil
This document discusses Statoil's use of seafloor gravimetric and subsidence monitoring above producing reservoirs. It presents the theory of time-lapse gravity monitoring and how changes in reservoir density can be detected. Specifically, it summarizes Statoil's ongoing monitoring projects at the Troll East oil field and Sleipner CO2 storage site, where changes in gravity and seafloor subsidence correlated with gas/oil production and CO2 injection have provided insights into reservoir behavior. The results of monitoring have helped update reservoir simulation models.
TU1.L10.2 - ESTIMATION OF ICE THICKNESS OF TUNDRA LAKES USING ERS–ENVISAT CR...grssieee
This document presents a method for estimating ice thickness in tundra lakes using cross-interferometry of ERS and ENVISAT SAR data. The method is tested on two study sites in Siberia and Canada, showing coherence over frozen lakes allows sensitivity to ice thickness changes of around 3 meters. Comparisons to in-situ measurements confirm the potential to map ice thickness and lake floor topography where the ice is frozen to the bottom. Limitations exist for other ice types where the dominant scattering is not from the ice/water or ice/ground interfaces.
1) Recent advances allow global climate models to realistically simulate surface mass balance of ice sheets, through explicit representation of snow processes, sub-grid elevation effects, and coupling with ice sheet models.
2) When forced by a high emissions scenario, the model projects a doubling of surface melt and a negative surface mass balance over Greenland by 2100, contributing 0.55 meters to sea level rise.
3) This is due to a 4-5°C warming over Greenland, increased cloudiness reducing sunlight while enhancing downwelling longwave radiation, and a 500m average rise in the equilibrium line altitude.
The document discusses a research project on 3D stacked chip architectures and interlayer cooling, including developing through-silicon vias for vertical electrical connections, using two-phase refrigerant cooling to remove heat from chip stacks more effectively than backside cooling, and experimental work on microchannel heat sinks, boiling visualization, and bubble dynamics simulation using an arbitrary Lagrangian-Eulerian technique.
This document discusses different types of loads on reinforced concrete structures, including snow load, ice load, and rain load. It defines snow load as the downward force from accumulated snow on a building's roof. Ice load is from accumulated frozen water. Rain load is from accumulated rainwater or melted snow. The document provides methods for determining snow load, ice load, and rain load based on standards like IS 875 and ASCE-7-10. It discusses factors like ground snow load, shape coefficients, wind effects, and secondary drainage systems.
This document summarizes a workshop on using electromagnetic radiation to detect archaeological sites. It discusses how different soil properties like water content, organic matter, and temperature can affect the permittivity and conductivity measured by ground penetrating radar and other electromagnetic techniques. Case studies from two fields in Diddington show how these measurements vary over time with rainfall, infiltration, and temperature. The document also compares measurements from IMKO probes to a Campbell Scientific TDR100, finding the probes less accurate but easier to install long-term. The overall aim is to better understand how soil characteristics influence electromagnetic readings and how these techniques can be used for long-term monitoring of archaeological sites.
The document discusses sensitivity studies conducted for the CoReH2O mission to analyze how snowpack parameters like grain size, layering, and melting state affect X-band and Ku-band radar backscatter. It summarizes modeling and experimental results showing grain size has a critical effect on backscatter and SWE retrieval, while density has little effect. Layering within the snowpack, including refrozen layers, can impact the relationship between backscatter and SWE.
The document summarizes ASTER/TIR vicarious calibration activities over the past 11 years. It describes the ASTER instrument, calibration methods, vicarious calibration sites used, experimental setup, and results of comparisons between onboard calibrator and vicarious calibration measurements. The comparisons show that the onboard calibrator has maintained an accuracy of 1K over a temperature range of 270-340K, though some sites show larger differences due to factors like straylight, low temperatures, and spatial variability.
The document describes an icing map of Sweden created using a mesoscale weather model. The map shows the average number of icing hours per year from 2000-2011 at a resolution of 50m x 50m grid cells. The map is available online and can help with siting new wind farms by analyzing potential icing conditions and estimated production losses at different locations. It also categorizes areas into 5 icing classes defined by the IEA to aid in site classification for wind energy projects.
This document summarizes the geosteering objectives, issues, and results for Well T1 drilled in the Otter Field. The key objectives were to maintain standoff from the oil water contact, target the best quality "T10 sands", avoid poor quality sandstones and coals. Real-time resistivity imaging allowed adjustments to the well trajectory and confirmation of targets like coals. The well landed within tolerance and identified key geological features like faults. Real-time data helped optimize the well path for maximum reservoir contact.
This document describes a methodology for numerically optimizing empirical models of highly dynamic, spatially expansive, and behaviorally heterogeneous hydrologic systems. The key steps are:
1) Segmenting data into behavioral classes using clustering algorithms.
2) Modeling each behavioral class separately with artificial neural networks (ANNs) to capture nonlinear dynamics.
3) Building ANN classifiers to link static site characteristics to dynamic behaviors.
4) Running the full model by classifying new sites and running the appropriate behavioral model.
The approach is demonstrated on stream temperature, Floridan aquifer, and Wisconsin stream temperature modeling cases.
1) The document analyzes cloud height data from 2000-2010 from the MISR instrument to study changes that may impact climate.
2) Global average cloud heights decreased by about 45 meters over this period, similar to the estimated effect of increased CO2 levels.
3) A major decrease in heights occurred during the strong 2007-2008 La Niña event, with offsetting changes between Indonesia and the central Pacific.
The document discusses estimating air and snow surface temperature evolution in East Antarctica using passive microwave remote sensing. Key points:
- Passive microwave sensors have been monitoring Antarctica since the 1980s, providing multiple images per day, but the continent remains undersampled.
- Correlation analysis between brightness temperature (Tb) measurements from sensors and in situ snow/air temperature data show Tb is closely related to snow temperature at different depths.
- Linear regressions were used to retrieve snow temperatures at depths from 0-10 meters using Tb, achieving good correlation (R2 > 0.9) and standard errors around 2°C.
- Air temperature was also retrieved but with lower accuracy (RMSE 4-
Snow Analysis for Numerical Weather prediction at ECMWFgrssieee
The document discusses snow analysis techniques used at the European Centre for Medium-Range Weather Forecasts (ECMWF). It provides an overview of the evolution of their snow analysis methodology from using screen-level analysis and soil moisture analysis in the 1990s to incorporating satellite snow cover data and implementing an Optimum Interpolation snow depth analysis in recent years. The new analysis scheme improves upon the previous Cressman interpolation method by using higher resolution satellite snow cover data and a simplified extended Kalman filter approach to assimilate observations into short-range forecasts of snow properties.
The document discusses snow analysis techniques used at the European Centre for Medium-Range Weather Forecasts (ECMWF). It describes the evolution from using Cressman interpolation and NOAA/NESDIS 24km snow cover data in the past to the current operational Optimum Interpolation snow analysis using higher resolution 4km NESDIS data. Issues with the previous Cressman method like "PacMan" patterns are addressed. The revised snow analysis was implemented in November 2010 and provides improvements over the older techniques.
This document provides an overview of the Global Change Observation Mission (GCOM) and its first satellite, GCOM-W1. GCOM aims to continue long-term Earth observations to monitor climate change, the carbon cycle, and other variables. GCOM-W1 will carry the Advanced Microwave Scanning Radiometer 2 (AMSR2) instrument and join the A-Train constellation in 2012. AMSR2 improves on the previous AMSR-E instrument with an enhanced calibration system to provide more accurate measurements of Earth's water and energy cycles over 5 years. Future GCOM satellites will continue these essential climate observations through 2022.
1) Seasonal frost accumulates behind boulders on Mars and shields the area from sunlight. As the sun rises higher in the sky, the temperature behind boulders rises rapidly, such as increasing by 100K within a sol.
2) While the melting point of water is reached, evaporative cooling prevents the formation of liquid water. Instead, briny solutions can form in favorable conditions with high energy input and where salts are present in the substrate.
3) For liquid water to exist, the atmospheric pressure would need to be much higher than the current levels on Mars to reduce evaporative cooling effects. Overall, the model shows that pure liquid water is not stable on the surface of Mars today, but br
SEGMENTATION OF POLARIMETRIC SAR DATA WITH A MULTI-TEXTURE PRODUCT MODELgrssieee
1) The document describes a segmentation algorithm for polarimetric SAR (PolSAR) data that can model both scalar-texture and multi-texture scattering.
2) The algorithm uses log-cumulants and hypothesis testing to determine whether a scalar-texture or dual-texture model best fits the data within each segment.
3) The algorithm is tested on simulated multi-texture PolSAR data and is shown to accurately segment the classes and estimate their texture parameters. However, when applied to real data sets, the algorithm only finds the simpler scalar-texture case.
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This document summarizes an ice profile classification system based on ISO 12494 that was presented by Matthew Wadham-Gagnon. It describes how TCE measures ice load on its research wind turbines and infrastructure in Quebec, Canada during icing events to classify the ice profile using ISO standards. Metrics like ice thickness, shape, and weight are used to assign ice classes from 1 to 10 for rime ice and 1 to 6 for glaze ice. An example icing event from April 2012 that resulted in ice class 3 to 5 is analyzed using meteorological data and its impact on turbine production. Over
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This document discusses Statoil's use of seafloor gravimetric and subsidence monitoring above producing reservoirs. It presents the theory of time-lapse gravity monitoring and how changes in reservoir density can be detected. Specifically, it summarizes Statoil's ongoing monitoring projects at the Troll East oil field and Sleipner CO2 storage site, where changes in gravity and seafloor subsidence correlated with gas/oil production and CO2 injection have provided insights into reservoir behavior. The results of monitoring have helped update reservoir simulation models.
TU1.L10.2 - ESTIMATION OF ICE THICKNESS OF TUNDRA LAKES USING ERS–ENVISAT CR...grssieee
This document presents a method for estimating ice thickness in tundra lakes using cross-interferometry of ERS and ENVISAT SAR data. The method is tested on two study sites in Siberia and Canada, showing coherence over frozen lakes allows sensitivity to ice thickness changes of around 3 meters. Comparisons to in-situ measurements confirm the potential to map ice thickness and lake floor topography where the ice is frozen to the bottom. Limitations exist for other ice types where the dominant scattering is not from the ice/water or ice/ground interfaces.
1) Recent advances allow global climate models to realistically simulate surface mass balance of ice sheets, through explicit representation of snow processes, sub-grid elevation effects, and coupling with ice sheet models.
2) When forced by a high emissions scenario, the model projects a doubling of surface melt and a negative surface mass balance over Greenland by 2100, contributing 0.55 meters to sea level rise.
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The document discusses a research project on 3D stacked chip architectures and interlayer cooling, including developing through-silicon vias for vertical electrical connections, using two-phase refrigerant cooling to remove heat from chip stacks more effectively than backside cooling, and experimental work on microchannel heat sinks, boiling visualization, and bubble dynamics simulation using an arbitrary Lagrangian-Eulerian technique.
This document discusses different types of loads on reinforced concrete structures, including snow load, ice load, and rain load. It defines snow load as the downward force from accumulated snow on a building's roof. Ice load is from accumulated frozen water. Rain load is from accumulated rainwater or melted snow. The document provides methods for determining snow load, ice load, and rain load based on standards like IS 875 and ASCE-7-10. It discusses factors like ground snow load, shape coefficients, wind effects, and secondary drainage systems.
This document summarizes a workshop on using electromagnetic radiation to detect archaeological sites. It discusses how different soil properties like water content, organic matter, and temperature can affect the permittivity and conductivity measured by ground penetrating radar and other electromagnetic techniques. Case studies from two fields in Diddington show how these measurements vary over time with rainfall, infiltration, and temperature. The document also compares measurements from IMKO probes to a Campbell Scientific TDR100, finding the probes less accurate but easier to install long-term. The overall aim is to better understand how soil characteristics influence electromagnetic readings and how these techniques can be used for long-term monitoring of archaeological sites.
The document discusses sensitivity studies conducted for the CoReH2O mission to analyze how snowpack parameters like grain size, layering, and melting state affect X-band and Ku-band radar backscatter. It summarizes modeling and experimental results showing grain size has a critical effect on backscatter and SWE retrieval, while density has little effect. Layering within the snowpack, including refrozen layers, can impact the relationship between backscatter and SWE.
The document summarizes ASTER/TIR vicarious calibration activities over the past 11 years. It describes the ASTER instrument, calibration methods, vicarious calibration sites used, experimental setup, and results of comparisons between onboard calibrator and vicarious calibration measurements. The comparisons show that the onboard calibrator has maintained an accuracy of 1K over a temperature range of 270-340K, though some sites show larger differences due to factors like straylight, low temperatures, and spatial variability.
The document describes an icing map of Sweden created using a mesoscale weather model. The map shows the average number of icing hours per year from 2000-2011 at a resolution of 50m x 50m grid cells. The map is available online and can help with siting new wind farms by analyzing potential icing conditions and estimated production losses at different locations. It also categorizes areas into 5 icing classes defined by the IEA to aid in site classification for wind energy projects.
This document summarizes the geosteering objectives, issues, and results for Well T1 drilled in the Otter Field. The key objectives were to maintain standoff from the oil water contact, target the best quality "T10 sands", avoid poor quality sandstones and coals. Real-time resistivity imaging allowed adjustments to the well trajectory and confirmation of targets like coals. The well landed within tolerance and identified key geological features like faults. Real-time data helped optimize the well path for maximum reservoir contact.
This document describes a methodology for numerically optimizing empirical models of highly dynamic, spatially expansive, and behaviorally heterogeneous hydrologic systems. The key steps are:
1) Segmenting data into behavioral classes using clustering algorithms.
2) Modeling each behavioral class separately with artificial neural networks (ANNs) to capture nonlinear dynamics.
3) Building ANN classifiers to link static site characteristics to dynamic behaviors.
4) Running the full model by classifying new sites and running the appropriate behavioral model.
The approach is demonstrated on stream temperature, Floridan aquifer, and Wisconsin stream temperature modeling cases.
1) The document analyzes cloud height data from 2000-2010 from the MISR instrument to study changes that may impact climate.
2) Global average cloud heights decreased by about 45 meters over this period, similar to the estimated effect of increased CO2 levels.
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- Passive microwave sensors have been monitoring Antarctica since the 1980s, providing multiple images per day, but the continent remains undersampled.
- Correlation analysis between brightness temperature (Tb) measurements from sensors and in situ snow/air temperature data show Tb is closely related to snow temperature at different depths.
- Linear regressions were used to retrieve snow temperatures at depths from 0-10 meters using Tb, achieving good correlation (R2 > 0.9) and standard errors around 2°C.
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1) Seasonal frost accumulates behind boulders on Mars and shields the area from sunlight. As the sun rises higher in the sky, the temperature behind boulders rises rapidly, such as increasing by 100K within a sol.
2) While the melting point of water is reached, evaporative cooling prevents the formation of liquid water. Instead, briny solutions can form in favorable conditions with high energy input and where salts are present in the substrate.
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TH1.T04.2_MULTI-FREQUENCY MICROWAVE EMISSION OF THE EAST ANTARCTIC PLATEAU_IGARSS_2011_DOMEX_presentation.pdf
1. IGARSS- Vancouver – July 24-29 2011
MULTI-FREQUENCY
MICROWAVE EMISSION OF
THE EAST ANTARCTIC
PLATEAU
Marco Brogioni G.Macelloni, S. Pettinato CNR-IFAC
R. Zasso, A. Crepaz CVA-ARPAV
B. Padovan, J. Zaccaria PNRA
M. Drinkwater ESA-ESTEC
2. IGARSS- Vancouver – July 24-29 2011
Outline
Objectives and background
The Domex experiment
Satellite (SMOS- AMSR-E) and ground data
The e.m. model
Model comparison
Conclusions and Perspectives
3. IGARSS- Vancouver – July 24-29 2011
Objectives
Verify the applicability of the East Antarctic plateau
as an extended target for calibrating and monitoring
low frequency microwave radiometers using
ground based (the Domex-2 experiment) and
satellite data (SMOS)
Understanding the multi-frequency microwave
emission of the Antarctic plateau by using satellite
and ground data in combination to e.m. model
5. IGARSS- Vancouver – July 24-29 2011
The Domex-2 experiment
With a view to the launching of the ESA’s SMOS satellite, an
experimental activity called DOMEX, supported by ESA and PNRA,
was started at Dome-C, Antarctica in 2005 with a first pilot project
(Domex-I, duration one month) and continue with Domex-2.
The main scientific objective is to demonstrate the stability of the
site in order to provide L-band microwave data for SMOS
calibration.
DOMEX-2 experiment consisted in an L-band and an infrared (8-14
µm) radiometers (RADOMEX) installed at Concordia base on an
observation tower at a height of 15 m respect to the ice sheet. Data
were collected continuously (24/24 h) over two entire Austral
annual cycle, starting from December 2008. Snow measurements
(including snow stratigraphy, density, grains size and shape,
temperature) and meteorological data, were also collected during
the experiment.
6. IGARSS- Vancouver – July 24-29 2011
The DOMEX Campaign
TOWER VIEW Air temperature
Mean: - 53 degs
Max: - 23 degs
Min: - 78 degs
Concordia base
7. IGARSS- Vancouver – July 24-29 2011
Complementary Snow measurements
Summer Snow deposition:
Grains shape and Size
Classification(precipitati
on, hoar,wind, etc.)
Winter
Snow layers:
Temperature
Hardness
Density
Grains shape and Size
Dielectric Constant
8. IGARSS- Vancouver – July 24-29 2011
Domex -2 – 2009 campaign
250
No temperature control
240 Low temperature /High fluctuation
230 Theta = 42° SMOS angle
Brightness Temperature [K]
220
210
Tv
Th
200
190
180
170
Power Failure > 10 days
01/12/08 01/01/09 01/02/09 04/03/09 04/04/09 05/05/09 05/06/09 06/07/09 06/08/09 06/09/09 07/10/09
Time
Radomex Temperature < -60°C !!!
9. IGARSS- Vancouver – July 24-29 2011
Temporal Stability – corrected values
220 20
215 18
Tbv = 209 K - Dev.st = 0.3 K
Sky Brightness Temperature [K]
210 16
Snow Brightness Temperature [K]
205 14
200 12
195 10 Tv
190 8 Th
Tbv = 186.3 K - Dev.st = 0.6 K
Tv
185 6
180 4
175 2
170 0
01/12/08 01/01/09 01/02/09 04/03/09 04/04/09 05/05/09
Time
6 Months Scale = December 2008 – May 2009
10. IGARSS- Vancouver – July 24-29 2011
Domex-2 : 2010 campaign
Power Failure Problem
PC crash April 10 Solved –July 2010
11 months data
11. IGARSS- Vancouver – July 24-29 2011
SMOS comparison - Temporal Trends
The target
response is very
stable.
Fluctuation are
typical of the
SMOS data.
Domex Tb could
be used as a
benchmark for
improve SMOS
some jumps: surface effect (?) data?
12. IGARSS- Vancouver – July 24-29 2011
Possible Explaination: wind effect
Lines= High Wind Speed (> 7 m/s)
14. IGARSS- Vancouver – July 24-29 2011
SMOS – comparison: Angular Trend
dots – SMOS
lines - DOMEX
SMOS data provided by CESBIO
15. IGARSS- Vancouver – July 24-29 2011
Multi-frequency Tb data: temporal trends
almost a Black Body Obs. angle 55 deg
V pol H pol
L C X Ku Ka L C X Ku Ka
Mean 218 200.23 194.93 184.83 169.88 175 153.16 152.84 154.70 150.36
Std Dev - 0.50 0.57 0.81 1.80 - 1.15 1.29 1.65 2.12
V pol fluctuates less because of the Brewster angle!
16. IGARSS- Vancouver – July 24-29 2011
Tb – StdDev vs Frequency (AMSR-E & DOMEX)
.
2.5
2.0 Ka
Tbh
1.5
TB Sdev [K]
Ku
1.0 X
C
L
0.5
Tbv
0.0
1 10 100
Frequency [GHz]
Tb sdev decreases when frequency decreases
The site is stable at L band
17. IGARSS- Vancouver – July 24-29 2011
The electromagnetic model
The snowpack is modeled as a stack of n layers with planar boundaries over
a half-space medium.
z
Each layer is characterize by:
qi
temperature Tl,
d0
grain radius rl, d1
d2
depth dl, d3
.
density rl, n layers .
. dn-1
fractional volume fl, dn
permittivity eeff l. Half-space
All the parameters used in the model are derived from Dome C snowpack
measurements (EPICA, Drinkwater et al.,2003).
18. IGARSS- Vancouver – July 24-29 2011
The electromagnetic model
The permittivity of the layers is modeled by using the SFT.
The model is based on the wave approach which accounted
for the reflection and transmission between the layers by
means of the propagating matrix (Kong,1990).
The vertical and horizontal brightness temperatures are
expressed by adding the contributions of the snow layers by
means of the fluctuation dissipation theorem (Jin,1984).
19. IGARSS- Vancouver – July 24-29 2011
Model Results
Comparison of temporal trends
1.4 GHz
The model is
able to
estimate the
6.8 GHz e.m. data with
10 GHz a good
accuracy
19 GHz
Some
discrepancy
are present
37 GHz
at Ku- and
Ka-band
20. IGARSS- Vancouver – July 24-29 2011
Model Results
Penetration depths
Frequency Penetration
(GHz) depth (m)
1.4 165
6.8 22
10 12
19 3.5
37 1.5
Penetration Depth
21. IGARSS- Vancouver – July 24-29 2011
Conclusions
The DOMEX-2 experiment started in November 2008 and ended
in December 2010.
The high temporal stability of Tb at V polarization is confirmed in
both 2009 and 2010. Tb at H polarization exhibits a high
fluctuation due to the surface and sub-surface effect (as
expected).
The angular and temporal trends exhibit a very good agreement
with SMOS data
Multi-frequency data emphasize the mechanisms that dominate
the emission of the ice sheet
A e.m. was developed and validated using satellite and ground
data
The e.m. is able to explain the jumps observed in H pol. data
22. RADOMEX looking in the Antarctic night
IGARSS- Vancouver – July 24-29 2011
Thanks for the attention!