July 26-31, 2015
Aquarius-related papers presented at the 2015 Geoscience and Remote Sensing Symposium (IGARSS) (theme: "Feeding the Planet: Energy for Life") included new methodologies, assessment of salinity data accuracy, estimation of water cloud parameters, influence of ice thickness on brightness temperatures, and data validation. IGARSS is sponsored by the Institute of Electrical and Electronics Engineers (IEEE).
Documents: 9Bruscantini, C.A., Grings, F.M., Barber, M., Franco, M., Entekhabi, D., and Karszenbaum, H.
[31-July-15]. A novel downscaling methodology for intermediate spatial resolution radiometer data is developed in view of forthcoming SMAP mission. It is based on an active and a passive microwave forward model coupled by its ancillary parameters. Hong, L., El-Nimri, S., and Peng, J.
[31-July-15]. Aquarius is a space-borne 3-beam L-band microwave instrument with its radiometer measuring sea surface salinity and its scatterometer providing ocean roughness corrections for better retrieval. Since polarized signals are used in both salinity and surface wind retrievals, Faraday rotation correction is an important step in calculating both radiometer and scatterometer ocean surface signals. Li, C., Zhao, H., Li, H., and Lv, K.
[31-July-15]. The study of sea surface salinity (SSS) plays an important role in the marine ecosystem, estimation of global ocean circulation and observation of fisheries, aquaculture, coral reef and sea grass habitats. Three statistical methods without considering the physical effects of the input parameters are proposed to calculate the sea surface salinity from SMOS measured TB values and associated auxiliary data. Meissner, T., Wentz, F., Lagerloef, G., Le Vine, D., and Lee, T.
[31-July-15]. We present a method for formally assessing random and systematic uncertainties in the Aquarius salinity retrievals. The method is based on performing multiple retrievals by perturbing the various inputs to the retrieval algorithm. Liu, C. and Shi, J.
[31-July-15]. Using time series Aquarius middle beam scatterometer observations, the two vegetation parameters C and D in water cloud model were estimated. Pablos, M., Piles, M., Gonzalez-Gambau, V., Camps, A., and Vall-llossera, M.
[31-July-15]. 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). Santos-Garcia, A., Jacob, M.M, and Jones, W.L.
[31-July-15]. ESA's Soil Moisture Ocean Salinity (SMOS) Earth Explorer mission globally measures ocean salinity every three days with a Microwave Imaging Radiometer using the Aperture Synthesis (MIRAS) radiometer. Also 7-day global ocean salinity measurements are available from NASA's Aquarius (AQ) L-band push-broom radiometer on-board of Aquarius/SAC-D satellite. The Central Florida Remote Sensing Laboratory has analyzed AQ sea surface salinity (SSS) retrievals in the presence of rain and has developed a Rain Impact Model (RIM) that predicts transient near-surface salinity stratification based upon the corresponding rain accumulation over the previous 24 hours. Li, H., Fu, W., Chen, H., Li, C., and Zhao, H.
[31-July-15]. After almost 5 years of SMOS launched, accuracy of satellite SSS measurements is evaluated/validated in most areas. But in South-China Sea area (4°N-25°N, 105°E-125°E), few calibration/validation efforts is made in this area. In this paper we will validate the satellite (SMOS/Aquarius) derived SSS measurements based on moored buoys and ARGO in-situ measurements. Gonzalez-Zamora, A., Sanchez, N., Martinez-Fernandez, J., and Gumuzzio, A.
[31-July-15]. A comprehensive spatial and temporal validation of long-term dataset of SMOS (Soil Moisture and Ocean Salinity) and Aquarius-derived soil moisture estimates was made using two in situ networks (REMEDHUS and Inforiego) within the Duero River Basin (Spain).