2016 14th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)最新文献

{"title":"Forward modeling of an atmospheric scenario: Path characterization in terms of scattering intensity","authors":"A. Bosisio, E. Fionda, M. Cadeddu, P. Ciotti","doi":"10.1109/MICRORAD.2016.7530516","DOIUrl":"https://doi.org/10.1109/MICRORAD.2016.7530516","url":null,"abstract":"The knowledge of possible impairments due to atmospheric propagation is of importance in the framework of future 5G mobile networks that use spectrum resource up to the W band. Here, the authors propose the scalar Scattering Indicator (SI), defined as the difference between the simulated TB at 72 GHz and the T̂B value estimated at the same frequency from a nonlinear combination of TB's values at 23.8 and 31.4 GHz under assumed scatter-free condition. On the basis of radiosonde profiles observed in Milan, Linate (Italy) in 2005, clear-sky scenarios are used as reference to define a scatter-free TBs database. A second database of simulated TBs including scattering effects is generated with ARTS to build the SI. Numerical results show that the SI assumes significant positive values with increasing drop effective radius and total liquid water LWP and that it can be used to identify the scattering due to hydrometeors.","PeriodicalId":330696,"journal":{"name":"2016 14th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130104636","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":"Status of aquarius and the salinity retrieval","authors":"D. L. Le Vine, F. Wentz, T. Miessner, E. Dinnat, G. Lagerloef","doi":"10.1109/MICRORAD.2016.7530493","DOIUrl":"https://doi.org/10.1109/MICRORAD.2016.7530493","url":null,"abstract":"Aquarius is a radiometer/scatterometer combination specifically designed for remote sensing of sea surface salinity. The instrument was launched on June 10, 2011 as part of the Aquarius/SAC-D observatory. The observatory and all instruments were lost on June 7, 2015 when a power failure on the satellite resulted in loss of control of the observatory. Mission operations have ended and the Aquarius science team is preparing a final reprocessing of the data. Among the improvements expected are correction for reflected radiation from the galaxy and an instrument-only correction for small “wiggles” in the calibration. Aquarius leaves a legacy of almost 4 years of data that are unique for accuracy and the combined active/passive look at the surface. This paper reports the status of mission and preliminary results of a new development in calibration.","PeriodicalId":330696,"journal":{"name":"2016 14th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124503330","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":"Requirements for a robust precipitation constellation","authors":"G. Huffman, V. Levizzani, R. Ferraro, F. Turk, C. Kidd","doi":"10.1109/MICRORAD.2016.7530500","DOIUrl":"https://doi.org/10.1109/MICRORAD.2016.7530500","url":null,"abstract":"Over the last 15 years the constellation of satellites carrying passive microwave (PMW) sensors has grown to a mature collection of almost a dozen satellites at any given time. Increasingly, a broad range of science and user communities have come to depend on the quasi-global precipitation analyses that intercalibrate and merge these individual PMW precipitation data streams. At present, the constellation of precipitation-relevant conical and cross-track scanning multichannel PMW instruments depends on many satellites past their design life and in continued operation by the responsible agencies. The Group on Earth Observations (GEO) Water Strategy and subsequent discussions in Coordinating Group for Meteorological Satellites (CGMS) and Committee on Earth Observing Systems (CEOS) have raised the issue of how a robust future precipitation constellation should be constructed. We discuss how retrievals are impacted by sensor resolution and channel diversity, the observation interval, and the use of a quasi-operational satellite precipitation radar for calibration. Specifically: 1) Sensor footprints larger than about 5-10 km start to introduce significant amounts of non-linearity in the retrievals, the so-called beam-filling problem. 2) Channel diversity has been shown to be necessary for covering the range of precipitation rates and types (liquid vs. solid). As well, diverse polarization at a given frequency is also important. 3) An observation interval less than three hours for every time around the day barely accommodates the required revist times for cloud-scale precipitating systems. 4) The precipitation radars on the precessing TRMM and GPM Core Observatory satellites have demonstrated the utility of routine calibration for precipitation estimates across all the PMW sensors (and in the case of GPM this is done for most of the Earth's climate zones). Such considerations are critical to the discussion on how to shift to a new, more diverse generation of precipitation-relevant sensors while preserving the characteristics that provide (and support continued innovation of) quality PMW retrievals and valueadded products that many users find attractive.","PeriodicalId":330696,"journal":{"name":"2016 14th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)","volume":"199 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123019329","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":"Impact of amplitude calibration errors on SMOS global images","authors":"Israel Durare, I. Corbella, F. Torres, N. Duffo, R. Oliva, M. Martín-Neira","doi":"10.1109/MICRORAD.2016.7530528","DOIUrl":"https://doi.org/10.1109/MICRORAD.2016.7530528","url":null,"abstract":"Some of the artifacts observed in SMOS brightness temperature images are originated in an inconsistency between correlation and antenna temperature calibration errors, which produces a multiplicative bias that scales with the scene mean antenna temperature. Its most important effect, although not the only one, is a land-to-sea contamination near coastal areas, which cannot be easily mitigated by post-processing correction techniques. A simplified end-to-end simulator allows introducing separate errors in both antenna temperature and correlation, thus providing an important insight on this problem and helping understanding its origin. Results from simulations compare very well with actual results from measured data.","PeriodicalId":330696,"journal":{"name":"2016 14th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126857993","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":"Sparsity-based approaches for multispectral super-resolution of tropical cyclone imagery","authors":"I. Yanovsky, B. Lambrigtsen","doi":"10.1109/MICRORAD.2016.7530522","DOIUrl":"https://doi.org/10.1109/MICRORAD.2016.7530522","url":null,"abstract":"An aperture synthesis system produces ringing at sharp edges and other transitions in the observed field. In this paper, we have developed an efficient multispectral deconvolution method, based on Split Bregman total variation minimization technique, and showed it to reduce image ringing, blurring, and distortion, while sharpening the image and preserving information content. We also present a multispectral multiframe super-resolution method that is robust to image noise and noise in the point spread function and leads to additional improvements in spatial resolution. The methodologies are based on current research in sparse optimization and compressed sensing, which lead to unprecedented efficiencies for solving image reconstruction problems.","PeriodicalId":330696,"journal":{"name":"2016 14th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121868314","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":"Advantages of Calibration Attitude Maneuvers for spaceborne microwave radiometer missions","authors":"S. Farrar, D. Draper, L. Jones, F. Alquaied","doi":"10.1109/MICRORAD.2016.7530531","DOIUrl":"https://doi.org/10.1109/MICRORAD.2016.7530531","url":null,"abstract":"Earth observing satellite microwave radiometers have been in use since the 1960's providing geoscientists invaluable insight into the complex interaction of the atmosphere, ocean and land in the climate of our planet. Such key instruments must be vetted of any calibration issues so as to provide the utmost accurate and stabilized dataset for scientific analysis. There are several post-launch radiometric calibration methods currently in use, and most require multiple ancillary data sets and a lengthy duration (typically one year) of on-orbit brightness temperature observations to obtain conclusive results. However, one on-orbit calibration method that can provide accurate and early results is the Calibration Attitude Maneuver (CAM), which encompasses Deep Space Calibration (DSC) and a new use of the near-Nadir Second Stokes (SS) analysis. This paper provides examples of CAMs that have aided in the calibration of the Tropical Rainfall Measuring Mission Microwave Imager (TMI) and the Global Precipitation Measurement Microwave Imager (GMI). Excellent results obtained suggest the use of the CAM as a recommended tool for on-orbit calibration for microwave radiometers.","PeriodicalId":330696,"journal":{"name":"2016 14th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127442818","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":"Antenna array optimization for the new GIMS demonstrator","authors":"Cheng Zhang, Hao Liu, Ji Wu","doi":"10.1109/MICRORAD.2016.7530524","DOIUrl":"https://doi.org/10.1109/MICRORAD.2016.7530524","url":null,"abstract":"The Geostationary interferometric microwave Sounder (GIMS) as a concept of microwave interferometric radiometer (MIR) proposed for China's geostationary earth orbit (GEO) atmosphere observation mission is anticipated to be the main payload of the China next generation meteorological satellite FY-4M. Now the second generation of ground demonstrator GIMS-II is under development. This paper is focused on the antenna array design of the GIMS-II and intended to solve the optimization problem of the antenna elements locations under some special limitations. Finally an optimized circular array with 70 antenna elements is achieved by using the differential evolution (DE) algorithm.","PeriodicalId":330696,"journal":{"name":"2016 14th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132886199","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":"Microwave scanner-sounder MTVZA-GY on new Russian meteorological satelliteMeteor-M No. 2: Modeling, calibration and measurements","authors":"L. Mitnik, V. Kuleshov, M. Mitnik, A. M. Streltsov, G. Cherniavsky, I. V. Cherny","doi":"10.1109/MICRORAD.2016.7530494","DOIUrl":"https://doi.org/10.1109/MICRORAD.2016.7530494","url":null,"abstract":"On July 8, 2014 meteorological satellite “Meteor-M” No. 2 with a module of temperature and humidity atmospheric sensing MTVZA-GY was launched on a circular sun-synchronous orbit. Microwave radiometer MTVZA-GY has 16 scanner channels at frequencies of 10.65, 18.7, 23.8, 31.5, 36.5, 42.0, 48.0 and 91.65 GHz and 13 sounder channels at frequencies in the ranges of 52-57 and 176-191 GHz and carries out conical scanning of the Earth at angle of incidence 65°. Swath width is 1500 km. The brightness temperatures TBs were computed by numerical integration of microwave radiative transfer equation using the radiosonde and reanalysis atmospheric profiles as the input information. The TBs for the Amazon forest and the Ocean under clear sky and weak winds were selected for the vicarious calibration. The long-term stability of MTVZA-GY operation was examined by analysis of time series of TBs measured over the Eastern Antarctica (Dome C), Greenland (GEOSummit) and Amazon rain forest test areas. TBs time series were also obtained for the GCOM-W1 AMSR2 measurements. MTVZA-GY data were used for study of severe marine weather systems.","PeriodicalId":330696,"journal":{"name":"2016 14th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132895909","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":"The Ice Cloud Imager (ICI) preliminary design and performance","authors":"M. Bergadà, M. Labriola, R. González, M. Palacios, D. Marote, A. Andrés, J. L. García, D. Sanchez-Pascuala, L. Ordonez, M. Rodriguez, M. Ortin, V. Esteso, J. Martinez, U. Klein","doi":"10.1109/MICRORAD.2016.7530498","DOIUrl":"https://doi.org/10.1109/MICRORAD.2016.7530498","url":null,"abstract":"The Ice Cloud Imager (ICI) instrument for MetOp-SG, being developed by Airbus DS (Spain) for ESA and EUMETSAT, has successfully passed the preliminary design phase. At this stage, most of the sub-system contractors have been selected, the specifications as well as the interfaces with the satellite have been consolidated and the most critical elements are being supported by prototyping activities to mitigate development risks.","PeriodicalId":330696,"journal":{"name":"2016 14th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133625551","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":"SMOS salinity retrievals enhancement in coastal areas by joint application of nodal sampling and corrected correlator efficiency","authors":"V. González-Gambau, E. Olmedo, J. Martínez, A. Turiel, I. Durán","doi":"10.1109/MICRORAD.2016.7530521","DOIUrl":"https://doi.org/10.1109/MICRORAD.2016.7530521","url":null,"abstract":"This work is focused on the quality improvement of ESA's SMOS (Soil Moisture and Ocean Salinity) salinity retrievals, paying special attention to coastal regions. Two correction techniques have been applied to enhance the quality of brightness temperatures: the nodal sampling for the reduction of Gibbs-like contamination and the correction of residual amplitude calibration errors for the mitigation of systematic biases close to land. The application of these techniques leads to improvements in salinity retrievals not only in open ocean, but also in strongly contaminated coastal areas. Comparisons to in-situ salinity estimates show that salinities retrieved from the corrected brightness temperatures are closer to zero bias and present a reduced standard deviation with respect to those retrievals from the current SMOS brightness temperatures.","PeriodicalId":330696,"journal":{"name":"2016 14th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122613367","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}