F. Marzano, M. Lamantea, M. Montopoli, D. Cimini, M. Herzog, H. Graf
{"title":"Passive microwave remote sensing of Plinian eruption due to the Grímsvötn Icelandic volcano","authors":"F. Marzano, M. Lamantea, M. Montopoli, D. Cimini, M. Herzog, H. Graf","doi":"10.1109/MICRORAD.2012.6185247","DOIUrl":"https://doi.org/10.1109/MICRORAD.2012.6185247","url":null,"abstract":"The sub-glacial Plinian explosive eruption of the Grímsvötn volcano on May 2011 is analyzed and quantitatively interpreted by using satellite passive microwave observations. The prevailing southerly winds stretched the erupted plume toward the Artic pole, thus preventing the ash cloud to move towards continental Europe and threatening the airline traffic (differently from the less explosive Eyjafjöll eruption on April and May 2010). Satellite microwave radiometric imagery is investigated to show the potential contribution and limitations to the understanding and modeling of explosive volcanic ash eruptions. We show the correlation of spaceborne microwave brightness temperatures with the ash columnar content derived from ground-based C-band radar retrievals. Microphysical sensitivity of satellite microwave brightness temperatures to the eruption plume fine and coarse ash suggests their exploitation in synergy with satellite thermal infrared radiometer and ground-based microwave radar observations.","PeriodicalId":122743,"journal":{"name":"2012 12th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127410764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
W. Blackwell, G. Allen, C. Galbraith, T. Hancock, R. Leslie, I. Osaretin, L. Retherford, M. Scarito, C. Semisch, M. Shields, M. Silver, D. Toher, K. Wight, D. Miller, K. Cahoy, N. Erickson
{"title":"Nanosatellites for earth environmental monitoring: The MicroMAS project","authors":"W. Blackwell, G. Allen, C. Galbraith, T. Hancock, R. Leslie, I. Osaretin, L. Retherford, M. Scarito, C. Semisch, M. Shields, M. Silver, D. Toher, K. Wight, D. Miller, K. Cahoy, N. Erickson","doi":"10.1109/MICRORAD.2012.6185263","DOIUrl":"https://doi.org/10.1109/MICRORAD.2012.6185263","url":null,"abstract":"The Micro-sized Microwave Atmospheric Satellite (MicroMAS) is a 3D cubesat (30×10×10 cm, 4kg) hosting a passive microwave spectrometer operating near the 118.75-GHz oxygen absorption line. The focus of the first MicroMAS mission (hereafter, MicroMAS-1) is to observe convective thunderstorms, tropical cyclones, and hurricanes from a near-equatorial orbit at approximately 500-km altitude. A MicroMAS flight unit is currently being developed in anticipation of a 2014 launch. A parabolic reflector is mechanically rotated as the spacecraft orbits the earth, thus directing a cross-track scanned beam with FWHM beamwidth of 2.2-degrees, yielding an approximately 25-km diameter footprint from a nominal altitude of 500 km. Radiometric calibration is carried out using observations of cold space, the earth's limb, and an internal noise diode that is weakly coupled through the RF front-end electronics. A key technology feature is the development of an ultra-compact intermediate frequency processor module for channelization, detection, and A-to-D conversion. The antenna system and RF front-end electronics are highly integrated and miniaturized. A MicroMAS-2 mission is currently being planned using a multi-band spectrometer operating near 118 and 183 GHz in a sun-synchronous orbit of approximately 800-km altitude. A HyMAS-1 (Hyperspectral Microwave Atmospheric Satellite) mission with approximately 50 channels near 118 and 183 GHz is also being planned. In this paper, the mission concept of operations will be discussed, the radiometer payload will be described, and the spacecraft subsystems (avionics, power, communications, attitude determination and control, and mechanical structures) will be summarized.","PeriodicalId":122743,"journal":{"name":"2012 12th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126927534","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
D. L. Le Vine, G. Lagerloef, C. Ruf, F. Wentz, S. Yueh, J. Piepmeier, E. Lindstrom, E. Dinnat
{"title":"Aquarius: The instrument and initial results","authors":"D. L. Le Vine, G. Lagerloef, C. Ruf, F. Wentz, S. Yueh, J. Piepmeier, E. Lindstrom, E. Dinnat","doi":"10.1109/MICRORAD.2012.6185226","DOIUrl":"https://doi.org/10.1109/MICRORAD.2012.6185226","url":null,"abstract":"Aquarius was launched on June 10, 2011 aboard the Aquarius/SAC-D observatory and the instrument has been operating continuously since the initial turned-on was completed on August 25. The initial observed antenna temperatures were close to predicted and the first salinity map was released in September. In order to map the ocean salinity field, Aquarius includes several special features such as the inclusion of a scatterometer to provide a roughness correction, measurement of the third Stokes parameter to correct for Faraday rotation, and fast sampling to mitigate the effects of RFI. This paper provides an overview of the instrument and an example of initial results. Details are covered in subsequent papers in the session on Aquarius.","PeriodicalId":122743,"journal":{"name":"2012 12th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122711603","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Challenges in application of Active Cold Loads for microwave radiometer calibration","authors":"S. Sobjaerg, J. Balling, N. Skou","doi":"10.1109/MICRORAD.2012.6185258","DOIUrl":"https://doi.org/10.1109/MICRORAD.2012.6185258","url":null,"abstract":"Two Active Cold Loads (ACLs) for microwave radiometer calibration, operating at X-band, are evaluated with respect to important stability parameters. Using a stable radiometer system as test bed, absolute levels of 77 K and 55 K are found. This paper identifies and summarizes potential challenges and uncertainties in future application of ACLs in air and space borne missions, and important parameters, such as temperature sensitivity and long term stability are addressed. For the devices under test, temperature sensitivities are found to be in the range from 0.2 K/°C to 0.4 K/°C, and typical long term drift up to 1.5 K/year is estimated.","PeriodicalId":122743,"journal":{"name":"2012 12th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122854963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Retrieval of tropospheric water vapour profiles by using spectra from a microwave spectro-radiometer at 22 GHz","authors":"R. Bleisch, N. Kampfer","doi":"10.1109/MICRORAD.2012.6185249","DOIUrl":"https://doi.org/10.1109/MICRORAD.2012.6185249","url":null,"abstract":"We present an approach to retrieve the tropospheric water vapour content from spectra observed at 22 GHz by the groundbased microwave radiometer MIAWARA (Middle Atmospheric Water Vapour Radiometer), located in the south of Bern (CH) and operated by the Institute of Applied Physics in the frame of NDACC. Our retrieval approach uses the entire bandwidth of 1 GHz of the spectrometer to additionally retrieve tropospheric water vapour profiles. Thereby total power spectra from tipping curve calibration (usually used to determine tropospherical opacity) are used. In addition to a standard a priori profile, we try to improve the performance of our retrieval approach by using external informations as additional retrieval constraints. One attempt is to use informations about cloud coverage delivered by a Ceilometer (installed close to the instrument) and an infrared sensor, which is attached to the instrument with the same line-of-sight. Thereby the cloud-base height together with an assumed relative humidity of 100% deliver a \"fixed-point\" with known profile value as additional a-priori information.","PeriodicalId":122743,"journal":{"name":"2012 12th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)","volume":"278 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134138424","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"RFI detection in SMOS data using 3rd and 4th Stokes parameters","authors":"S. Kristensen, J. Balling, N. Skou, S. Sobjaerg","doi":"10.1109/MICRORAD.2012.6185254","DOIUrl":"https://doi.org/10.1109/MICRORAD.2012.6185254","url":null,"abstract":"As SMOS data have been found to contain much more RFI than expected, methods for detecting RFI in SMOS data have been pursued. This paper describes a method using 3rd and 4th Stokes parameters for RFI detection in SMOS data. Obvious hot-spots are detected, as well as smaller but still detrimental RFI spreading out over for instance the ocean. It is also shown that detected samples statistically deviate (in Kelvin) more from their surroundings than other samples.","PeriodicalId":122743,"journal":{"name":"2012 12th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)","volume":"281 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114731906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
E. Dinnat, D. L. Le Vine, S. Abraham, P. de Matthaeis, C. Utku
{"title":"Comparison of Aquarius measurements and radiative transfer models at L-band","authors":"E. Dinnat, D. L. Le Vine, S. Abraham, P. de Matthaeis, C. Utku","doi":"10.1109/MICRORAD.2012.6185231","DOIUrl":"https://doi.org/10.1109/MICRORAD.2012.6185231","url":null,"abstract":"Spaceborne radiometric measurements at L-band from the Aquarius instrument are compared to numerical model simulation. A calibration bias is estimated: of the order of 3K to 5K in vertical polarization, and of the order of 1.5 K or less in horizontal polarization. A bias temporal drift of about 1 K over five months is identified for all beams and polarizations. Measurements/model comparisons are also performed to assess the uncertainty of various aspects of the data processing that are critical for retrieving Sea Surface Salinity, such as the correction for Faraday rotation and the impact of sea surface roughness on the surface signal. Errors in the antenna pattern models are identified, that lead to significant biases in Faraday rotation angle. The precision of the model for surface roughness impact is estimated to be of the order of 0.25K over a large range of wind speeds, but is less accurate at the low and high end of the wind speed range, particularly for wind speeds much larger than 15 m/s.","PeriodicalId":122743,"journal":{"name":"2012 12th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126710513","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
R. Sabia, D. Fernández-Prieto, M. Portabella, J. Gourrion, J. Font, M. Talone, Adriano Camps
{"title":"SMOS L3 salinity performances at decreasing sea surface temperature","authors":"R. Sabia, D. Fernández-Prieto, M. Portabella, J. Gourrion, J. Font, M. Talone, Adriano Camps","doi":"10.1109/MICRORAD.2012.6185232","DOIUrl":"https://doi.org/10.1109/MICRORAD.2012.6185232","url":null,"abstract":"A study of the latitudinal trend of the retrieved salinity performances along a Southwards transect has been performed, analyzing the trade-off between geophysical effects in cold seawater and the concomitant temporal oversampling under various processing configurations. Quantitative sensitivity with respect to sea surface temperature gradient has been evaluated.","PeriodicalId":122743,"journal":{"name":"2012 12th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131350174","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Validation of TMI derived total precipitable water vapour with operational soundings","authors":"G. Liberti, C. Transerici, M. Buzzicotti","doi":"10.1109/MICRORAD.2012.6185248","DOIUrl":"https://doi.org/10.1109/MICRORAD.2012.6185248","url":null,"abstract":"This study presents a validation exercise of the total precipitable water vapour (TPWV) obtained from microwave passive radiometry over oceans from the Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI). This study reports the results of the comparison of the TMI derived TPWV against the one obtained from radiosoundings from operational meteorological sites. A TMI-radiosounding comparison dataset has been created using semi-objectively defined matching criteria. Screening of low quality observation from both dataset is performed to include in the comparison low quality observations. Applying the match-up criteria for the period Dec.1997-Jan.2012 gives a set of 141679 comparison cases from 232 sites. The overall resulting BIAS is 0.90 mm with a RMS of 4.84 mm. Detailed analyses are performed to discuss and to interpret the comparison results in terms of error derived from: the criteria adopted to match the observations (space and time), instrumental errors from both TMI and radiosonde (solar illumination, radiosonde type), algorithms error (by correlating the comparison results against the value of the other geophysical parameters derived from the TMI, vertical integration scheme for the radiosounding).","PeriodicalId":122743,"journal":{"name":"2012 12th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133315268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"First validation of retrieved rain rates and snow cover mask of the 183-WSL retrieval method","authors":"S. Laviola, V. Levizzani, E. Cattani, C. Kidd","doi":"10.1109/MICRORAD.2012.6185242","DOIUrl":"https://doi.org/10.1109/MICRORAD.2012.6185242","url":null,"abstract":"Improvements of the 183-WSL retrieval method allow to better describe the precipitating clouds as to rain distribution, type and amount. The 183-WSL method is physically based on the water vapor absorption band at 18331 GHz and retrieves the rain rates upon discriminating the convective/stratiform characteristics of the observed precipitation. The current version of the retrieval scheme was upgraded with a dedicated module for the identification of the snow cover pixels, which are often responsible for false alarms because of the strong scattering from the frozen surfaces. The 183-WSL snow cover module, currently in the testing stage, produces a snow cover mask per each satellite overpass, distinguishing between regions of wet and dry snow. The validation of rain rates is carried out by using two years of data of the European Radar Network NIMROD while the snow cover product is compared with 6 months of maps from the Interactive Multisensor Snow and Ice Mapping System (IMS) operational product over the Baltic Regions. Furthermore, the 183-WSL retrievals were compared with other satellite retrieval methods using the NORDRAD radar network measurements as ground truth over 2 months. The analysis reveals that the 183-WSL new computational scheme shows high match ups with radar data with high values of the statistical indices. Although the new version of the 183-WSL performs better than the previous with the integration of the snow cover mask module into the main retrieval scheme, it tends to overestimate the retrieved rain rates especially those with intensities lower than 1 mm h-1. This threshold is crucial especially during the winter season.","PeriodicalId":122743,"journal":{"name":"2012 12th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133970202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}