Remote sensing of coccolithophore blooms in selected oceanic regions using the PhytoDOAS method applied to hyper-spectral satellite data

In this study temporal variations of coccolithophore blooms are investigated using satellite data. Eight years (from 2003 to 2010) of data of SCIAMACHY, a hyper-spectral satellite sensor on-board ENVISAT, were processed by the PhytoDOAS method to monitor the biomass of coccolithophores in three selected regions. These regions are characterized by frequent occurrence of large coccolithophore blooms. The retrieval results, shown as monthly mean time series, were compared to related satellite products, including the total surface phytoplankton, i.e. total chlorophyll a (from GlobColour merged data) and the particulate inorganic carbon (from MODIS-Aqua). The inter-annual variations of the phytoplankton bloom cycles and their maximum monthly mean values have been compared in the three selected regions to the variations of the geophysical parameters: sea-surface temperature (SST), mixed-layer depth (MLD) and surface wind-speed, which are known to affect phytoplankton dynamics. For each region, the anomalies and linear trends of the monitored parameters over the period of this study have been computed. The patterns of total phytoplankton biomass and specific dynamics of coccolithophore chlorophyll a in the selected regions are discussed in relation to other studies. The PhytoDOAS results are consistent with the two other ocean color products and support the reported dependencies of coccolithophore biomass dynamics on the compared geophysical variables. This suggests that PhytoDOAS is a valid method for retrieving coccolithophore biomass and for monitoring its bloom developments in the global oceans. Future applications of time series studies using the PhytoDOAS data set are proposed, also using the new upcoming generations of hyper-spectral satellite sensors with improved spatial resolution

Spectral studies of ocean water using DOAS

International audienceMethods enabling the retrieval of oceanic parameter from the space borne instrumentation Scanning Imaging Absorption Spectrometer for Atmospheric ChartographY (SCIAMACHY) using Differential Optical Absorption Spectroscopy (DOAS) are presented. SCIAMACHY onboard ENVISAT measures back scattered solar radiation at a spectral resolution (0.2 to 1.5 nm). The DOAS method was used for the first time to fit modelled Vibrational Raman Scattering (VRS) in liquid water and in situ measured phytoplankton absorption reference spectra to optical depths measured by SCIAMACHY. Spectral structures of VRS and phytoplankton absorption were clearly found in these optical depths. Both fitting approaches lead to consistent results. DOAS fits correlate with estimates of chlorophyll concentrations: low fit factors for VRS retrievals correspond to large chlorophyll concentrations and vice versa; large fit factors for phytoplankton absorption correspond with high chlorophyll concentrations and vice versa. From these results a simple retrieval technique taking advantage of both measurements is shown. First maps of global chlorophyll concentrations were compared to the corresponding MODIS measurements with very promising results. In addition, results from this study will be used to improve atmospheric trace gas DOAS-retrievals from visible wavelengths by including these oceanographic signatures

Моделі динаміки пружних збурень у неоднорідно деформованому континуумі

Розвинуто нелінійну теорію пружності стосовно задач томографії тензорних полів у неоднорідно деформованих твердих тілах. За визначальні параметри локального термодинамічного стану, що відповідають процесові деформування, прийнято тензорні характеристики, означені щодо актуальної (деформованої) конфігурації — тензор напружень Коші та міри деформації Альманзі або Фінґера. У рамках запропонованої нелінійної теорії побудовано декілька варіантів системи рівнянь динаміки малих пружних збурень у неоднорідно деформованому твердому континуумі, лінеаризованої стосовно деформації збурення. Коефіцієнти отриманих рівнянь залежать від локальних параметрів початкового напружено-деформованого стану, заданих в актуальній конфігурації. У такому вигляді їх зручно застосовувати для опису хвильових процесів, які збуджують у неоднорідно деформованих тілах, щоб отримати апостеріорну інформацію про актуальний напружено-деформований стан цих об’єктів.A nonlinear theory of elasticity as applied to problems of tensor fields tomography in non-uniformly strained solids has been developed. As constitutive thermodynamic parameters of the theory, corresponding the process of deformation, the tensor characteristics determinate in the actual configuration — tensors Almansi’s and Finger’s have been used. In the frame of the theory several variants of system equations for dynamics of small elastic disturbances in non-uniformly strained continuum, linearized with respect to the amplitude of the disturbance, have been built. These equations coefficients are depended on local parameters of the body stress-strained state, determined in local base of the actual configuration. In such a form they are convenient to use for describing of the wave processes in non-uniformly strained solids activated to obtain some a posteriori information about the actual stress-strained state of such objects.Развита нелинейная теория упругости применительно к задачам томографии тензорных полей в неоднородно деформированных твердых телах. В качестве определяющих параметров локального термодинамического состояния, соответствующих процессу деформирования, приняты тензорные характеристики, определяемые относительно актуальной (деформированной) конфигурации — тензор напряжений Коши и меры деформации Альманзи или Фингера. В рамках предложенной нелинейной теории построено несколько вариантов системы уравнений динамики малых упругих возмущений в неоднородно деформированном твердом континууме, линеаризированной относительно деформации возмущения. Коэффициенты полученных уравнений зависят от локальных параметров напряженно-деформированного состояния, заданных в актуальной конфигурации. В таком виде их удобно применять для описания волновых процессов, которые возбуждают в неоднородно деформированных телах для получения апостериорной информации об актуальном напряженно-деформированном состоянии этих объектов

Cloud and surface classification using SCIAMACHY polarization measurement devices

International audienceA simple scheme has been developed to discriminate surface, sun glint and cloud properties in satellite based spectrometer data utilizing visible and near infrared information. It has been designed for the use with data measured by SCIAMACHY's (SCanning Imaging Absorption SpectroMeter for Atmospheric CHartographY) Polarization Measurement Devices but the applicability is not strictly limited to this instrument. The scheme is governed by a set of constraints and thresholds developed by using satellite imagery and meteorological data. Classification targets are ice, water and generic clouds, sun glint and surface parameters, such as water, snow/ice, desert and vegetation. The validation is done using MERIS (MEdium Resolution Imaging Spectrometer) and meteorological data from METAR (MÉTéorologique Aviation Régulière ? a network for the provision of meteorological data for aviation). Qualitative and quantitative validation using MERIS satellite imagery shows good agreement. The comparison with METAR data exhibits very good agreement

Improvement to the PhytoDOAS method for identification of coccolithophores using hyper-spectral satellite data

The goal of this study was to improve PhytoDOAS, which is a new retrieval method for quantitative identification of major phytoplankton functional types (PFTs) using hyper-spectral satellite data. PhytoDOAS is an extension of the Differential Optical Absorption Spectroscopy (DOAS, a method for detection of atmospheric trace gases), developed for remote identification of oceanic phytoplankton groups. Thus far, PhytoDOAS has been successfully exploited to identify cyanobacteria and diatoms over the global ocean from SCIAMACHY (SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY) hyper-spectral data. This study aimed to improve PhytoDOAS for remote identification of coccolithophores, another functional group of phytoplankton. The main challenge for retrieving more PFTs by PhytoDOAS is to overcome the correlation effects between different PFT absorption spectra. Different PFTs are composed of different types and amounts of pigments, but also have pigments in common, e.g. chl <i>a</i>, causing correlation effects in the usual performance of the PhytoDOAS retrieval. Two ideas have been implemented to improve PhytoDOAS for the PFT retrieval of more phytoplankton groups. Firstly, using the fourth-derivative spectroscopy, the peak positions of the main pigment components in each absorption spectrum have been derived. After comparing the corresponding results of major PFTs, the optimized fit-window for the PhytoDOAS retrieval of each PFT was determined. Secondly, based on the results from derivative spectroscopy, a simultaneous fit of PhytoDOAS has been proposed and tested for a selected set of PFTs (coccolithophores, diatoms and dinoflagellates) within an optimized fit-window, proven by spectral orthogonality tests. The method was then applied to the processing of SCIAMACHY data over the year 2005. Comparisons of the PhytoDOAS coccolithophore retrievals in 2005 with other coccolithophore-related data showed similar patterns in their seasonal distributions, especially in the North Atlantic and the Arctic Sea. The seasonal patterns of the PhytoDOAS coccolithophores indicated very good agreement with the coccolithophore modeled data from the NASA Ocean Biochemical Model (NOBM), as well as with the global distributions of particulate inorganic carbon (PIC), provided by MODIS (MODerate resolution Imaging Spectroradiometer)-Aqua level-3 products. Moreover, regarding the fact that coccolithophores belong to the group of haptophytes, the PhytoDOAS seasonal coccolithophores showed good agreement with the global distribution of haptophytes, derived from synoptic pigment relationships applied to SeaWiFS chl <i>a</i>. As a case study, the simultaneous mode of PhytoDOAS has been applied to SCIAMACHY data for detecting a coccolithophore bloom which was consistent with the MODIS RGB image and the MODIS PIC map of the bloom, indicating the functionality of the method also in short-term retrievals

Corrigendum to "Spectral studies of ocean water with space-borne sensor SCIAMACHY using Differential Optical Absorption Spectroscopy (DOAS)" published in Ocean Sci., 3, 429?440, 2007

International audienceNo abstract available

Phase ordering and shape deformation of two-phase membranes

Within a coupled-field Ginzburg-Landau model we study analytically phase separation and accompanying shape deformation on a two-phase elastic membrane in simple geometries such as cylinders, spheres and tori. Using an exact periodic domain wall solution we solve for the shape and phase ordering field, and estimate the degree of deformation of the membrane. The results are pertinent to a preferential phase separation in regions of differing curvature on a variety of vesicles.Comment: 4 pages, submitted to PR

Are Community Food Assistance Programs Meeting the Needs Of Food-Insecure Households in Pittsburgh\u27s North Side Neighborhoods?

Semi-structured interviews with three householders and three community food program managers were conducted to explore if food assistance programs meet the needs of residents in Pittsburgh\u27s North Side neighborhoods. Findings show that insufficient income is the main factor contributing to household food insecurity. North Side residents also have difficulty obtaining nutritious and affordable foods because fresh produce is often too expensive and supermarket food quality is considered low. Farm stands and other food access programs are well received, but only provide access to nutritious foods during the summer. Limited income and limited food access increase reliance on food pantries and Produce to People. Householders use multiple programs to meet their food needs. Householders appreciate the food programs and seem satisfied; however, responses suggest some needs are unfulfilled and householders face monotonous diets. This may not be apparent to providers because householders may mask dissatisfaction to avoid appearing unappreciative. North Side food assistance programs provide sufficient food and usually complementary food to residents, but there appears to be a lack of variety in household diets and seasonal access to fresh and nutritious foods

Erratum to: 36th International Symposium on Intensive Care and Emergency Medicine: Brussels, Belgium. 15-18 March 2016.

[This corrects the article DOI: 10.1186/s13054-016-1208-6.]

A Method for Performing Ontology-based Computational Literature Reviews Exemplified for Design Science Research

The traditional process of conducting literature reviews requires a significant amount of manual work and is often constrained by the limitations of small sample sizes. Although novel computational approaches to language analysis offer great opportunities, they are rarely applied to literature reviews. We aim to demonstrate the potential of ontology-based computational literature reviews. Therefore, we conducted a Design Science Research (DSR) project to apply and extend a method for this type of review. Since DSR shows a considerable diversity in theoretical foundations and methodological approaches and can serve as an insightful example, we first developed a machine learning classifier to identify DSR articles. Second, we applied and extended a method for ontological annotation and sentence classification. Finally, we conducted a computational literature review of 6,235 DSR articles, focusing on the distribution of theories, methods, and topics. We also developed an interactive dashboard prototype with selected results from our study