Ground-Based L-Band Emission Measurements at Dome-C Antarctica: The DOMEX-2 Experiment

Macelloni, Giovanni; Brogioni, Marco; Pettinato, S.; Zasso, Renato; Crepaz, A.; Zaccaria, Jonathan; Padovan, Boris; Drinkwater, Mark R.

doi:10.1109/tgrs.2013.2277921

Cited by 34 publications

(21 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…7). Temporal variability is higher at H than V polarization, which was already observed at L band (Macelloni et al, 2013;Brucker et al, 2014a) and at higher Fig. 8.…”

Section: The Antarctic Ice Sheet (Ais)mentioning

confidence: 54%

“…The AIS can be used as a target for sensor calibration and intercalibration at L band. Dome C is a potential candidate (Drinkwater et al, 2004;Macelloni et al, 2013). Over the period September 2011-September 2013, the mean TBs observed by Aquarius' radiometer 1 at Dome C (75.1 • S, 123.35 • E, snow accumulation rates of 7.2 cm yr −1 , Urbini et al, 2008) are 202.53 ± 0.26 K and 190.12 ± 0.47 K at V and H polarization, respectively (Fig.…”

Section: The Antarctic Ice Sheet (Ais)mentioning

confidence: 95%

See 1 more Smart Citation

Weekly gridded Aquarius L-band radiometer/scatterometer observations and salinity retrievals over the polar regions – Part 2: Initial product analysis

2014

View full text Add to dashboard Cite

Abstract.Following the development and availability of Aquarius weekly polar-gridded products, this study presents the spatial and temporal radiometer and scatterometer observations at L band (frequency ∼ 1.4 GHz) over the cryosphere including the Greenland and Antarctic ice sheets, sea ice in both hemispheres, and over sub-Arctic land for monitoring the soil freeze/thaw state. We provide multiple examples of scientific applications for the L-band data over the cryosphere. For example, we show that over the Greenland Ice Sheet, the unusual 2012 melt event lead to an L-band brightness temperature (TB) sustained decrease of ∼ 5 K at horizontal polarization. Over the Antarctic ice sheet, normalized radar cross section (NRCS) observations recorded during ascending and descending orbits are significantly different, highlighting the anisotropy of the ice cover. Over sub-Arctic land, both passive and active observations show distinct values depending on the soil physical state (freeze/thaw). Aquarius sea surface salinity (SSS) retrievals in the polar waters are also presented. SSS variations could serve as an indicator of fresh water input to the ocean from the cryosphere, however the presence of sea ice often contaminates the SSS retrievals, hindering the analysis. The weekly grided Aquarius L-band products used are distributed by the US Snow and Ice Data Center at http: //nsidc.org/data/aquarius/index.html, and show potential for cryospheric studies.

show abstract

“…7). Temporal variability is higher at H than V polarization, which was already observed at L band (Macelloni et al, 2013;Brucker et al, 2014a) and at higher Fig. 8.…”

Section: The Antarctic Ice Sheet (Ais)mentioning

confidence: 54%

Section: The Antarctic Ice Sheet (Ais)mentioning

confidence: 95%

Weekly gridded Aquarius L-band radiometer/scatterometer observations and salinity retrievals over the polar regions – Part 2: Initial product analysis

2014

View full text Add to dashboard Cite

show abstract

“…At L-band, the thermal stability of this region has been confirmed by several experimental campaigns [1,2]. However, recent studies using L-band airborne and satellite observations have revealed some spatial inhomogeneities [3,4] and seasonal effects [4] in the acquired brightness temperatures (TB) over this area.…”

Section: Introductionmentioning

confidence: 87%

Influence of ice thickness on SMOS and aquarius brightness temperatures over Antarctica

Pablos

Piles

González-Gambau

et al. 2015

2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

View full text Add to dashboard Cite

The Dome-C region, in the East Antarctic Plateau, has been used for calibration/validation of satellite microwave radiometers since the 1970's. However, its use as an independent external target has been recently questioned due to some spatial inhomogeneities found in L-band airborne and satellite observations. This work evidences the influence of the Antarctic ice thickness spatial variations on the measured SMOS and Aquarius brightness temperatures (TB). The possible effects of subglacial water and bedrock on the acquired radiometric signals have also been analyzed. A 3-months no-daylight period during the Austral winter has been selected. Four transects over East Antarctica have been defined to study the spatial variations. A good agreement between SMOS and Aquarius TB changes and ice thickness variations over the whole Antarctica has been observed, obtaining linear correlations of 0.6-0.7 and slopes of 8.6-9.5 K/km. The subglacial lakes may affect the vertical physical temperature profile and/or the dielectric properties of the ice layers above. As expected, the subglacial bedrock is not contributing to the measured TB, since the maximum estimated L-band penetration depth is ∼1-1.5 km.

show abstract

“…Over the ice sheets, L-band observations motivate the development of innovative approaches to study long-term climatic changes. Moreover, specific regions of the Antarctic ice sheet can be used as calibration and validation sites for L-band radiometers (e.g., Drinkwater et al, 2004;Macelloni et al, 2013). Over sea ice, investigations show that L-band radiometric observations contain information about sea ice thickness (e.g., Kaleschke et al, 2010), and over land the soil freeze/thaw state can be determined in sub-Arctic environments (e.g., Rautiainen et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Weekly gridded Aquarius L-band radiometer/scatterometer observations and salinity retrievals over the polar regions – Part 1: Product description

2014

View full text Add to dashboard Cite

Abstract. Passive and active observations at L band (frequency ∼ 1.4 GHz) from the Aquarius/SAC-D mission offer new capabilities to study the polar regions. Due to the lack of polar-gridded products, however, applications over the cryosphere have been limited. We present three weekly polar-gridded products of Aquarius data to improve our understanding of L-band observations of ice sheets, sea ice, permafrost, and the polar oceans. Additionally, these products intend to facilitate access to L-band data, and can be used to assist in algorithm developments. Aquarius data at latitudes higher than 50 • are averaged and gridded into weekly products of brightness temperature (TB), normalized radar cross section (NRCS), and sea surface salinity (SSS). Each grid cell also contains sea ice fraction, the standard deviation of TB, NRCS, and SSS, and the number of footprint observations collected during the seven-day cycle. The largest 3 dB footprint dimensions are 97 km × 156 km and 74 km × 122 km (along × across track) for the radiometers and scatterometer, respectively. The data is gridded to the Equal-Area Scalable Earth version 2.0 (EASE2.0) grid, with a grid cell resolution of 36 km. The data sets start in August 2011, with the first Aquarius observations and will be updated on a monthly basis following the release schedule of the Aquarius Level 2 data sets. The weekly gridded products are distributed by the US National Snow and Ice Data Center at http://nsidc.org/data/aquarius/index.html.

show abstract

Ground-Based L-Band Emission Measurements at Dome-C Antarctica: The DOMEX-2 Experiment

Cited by 34 publications

References 15 publications

Weekly gridded Aquarius L-band radiometer/scatterometer observations and salinity retrievals over the polar regions – Part 2: Initial product analysis

Weekly gridded Aquarius L-band radiometer/scatterometer observations and salinity retrievals over the polar regions – Part 2: Initial product analysis

Influence of ice thickness on SMOS and aquarius brightness temperatures over Antarctica

Weekly gridded Aquarius L-band radiometer/scatterometer observations and salinity retrievals over the polar regions – Part 1: Product description

Contact Info

Product

Resources

About