On the Links between Microwave and Solar Wavelength Interactions with Snow-Covered First-Year Sea Ice

Electromagnetic (EM) energy at solar and microwavelengths will interact with a snow-covered sea ice volume as a function of its geophysical properties. The seasonal metamorphosis of the snow cover modulates the relative distribution of the three main interaction mechanisms of EM energy: reflection, transmission, and absorption. We use a combination of modeling and observational data to illustrate how the total relative scattering cross section (Sigma 0) at microwavelengths can be used to estimate the surface climatological shortwave albedo and the transmitted Photosynthetically Active Radiation (PAR) for a snow-covered, first-year sea ice volume typical of the Canadian Arctic. Modeling results indicate that both 5.3 and 9.25 GHz frequencies, at HH polarization and incidence angles of 20 degrees, 30 degrees, and 40 degrees can be used to estimate the daily averaged integrated climatological albedo (Alpha). The models at 5.3 GHz, HH polarization, at 20 degree, 30 degree, and 40 degree incidence angles were equally precise in predications of Alpha. The models at 9.25 GHz were slightly less precise, particularly at the 40 degree incidence angle. The reduction in precision at the 40 degree incidence angle was attributed to the increased sensitivity at both 5.3 and 9.25 GHz to the snow surface scattering term (Sigma 0 ss) used in computation of the total relative scattering cross section (Sigma 0). Prediction of subsnow PAR was also possible using the same combination of microwave sensor variables utilized in prediction of Alpha, but because subice algal communities have evolved to be low light sensitive, the majority of the growth cycle occurs prior to significant changes in Sigma 0. A method of remote estimation of snow thickness is required to be scientifically useful. Observational data from the European ERS-1 SAR were used to confirm the appropriateness of the modeled relationships between Sigma 0, Alpha, and PAR. Over a time series spanning all conditions used in the modeled relationships, the same general patterns were observed between Sigma, Alpha, and PAR.Key words: microwave scattering models, snow, sea ice, climatological shortwave radiation, photosynthetically active radiation, microwave remote sensingL'énergie électromagnétique à des ondes ultra-courtes et solaires va interagir avec un volume de glace de mer couverte de neige, en fonction de ses propriétés géophysiques. La métamorphose saisonnière du couvert nival module la distribution relative des trois grands mécanismes d'interaction de l'énergie électromagnétique: réflexion, transmission et absorption. On utilise une combinaison de résultats de modélisation et de données d'observation pour illustrer la façon dont la coupe transversale totale de diffusion relative (sigma-zero) à des longueurs d'onde ultra-courtes peut être utilisée pour estimer l'albédo climatologique en ondes courtes de la surface et le rayonnement photosynthétiquement utilisable (RPU) pour un volume de glace de mer nouvelle couverte de neige, typique de l'Arctique canadien. Les résultats de modélisation indiquent qu'on peut utiliser les deux fréquences de 5,3 et 9,25 GHz, ayant une polarisation HH et des angles d'incidence de 20, 30 et 40° pour estimer la moyenne quotidienne de l'albédo climatologique intégré (alpha). Les modèles à 5,3 GHz, ayant une polarisation HH et des angles d'incidence de 20, 30 et 40° prédisaient alpha avec le même degré de précision. Les modèles à 9,25 GHz étaient légèrement moins précis, surtout en ce qui concerne l'angle d'incidence de 40°. La réduction de précision à l'angle d'incidence de 40° était attribuée à une augmentation de sensibilité, aux deux fréquences de 5,3 et 9,25 GHz, au terme de diffusion de la surface nivale (sigma-zero-ss) utilisé dans le calcul de la coupe transversale totale de diffusion relative (sigma-zero). Pour prédire le RPU sous la couche nivale, on a également pu utiliser la même combinaison de variables de capteurs d'ondes ultra-courtes que celle utilisée pour prédire alpha. Mais parce que les communautés d'algues vivant sous la glace ont développé un niveau de photosensibilité élevé, la plupart du cycle de croissance se produit avant que des changements importants n'aient lieu dans sigma-zero. Il faut développer une méthode d'estimation de l'épaisseur nivale par la télédétection pour que cette méthode soit utilisable du point de vue scientifique. On a utilisé des données d'observation prises au RALS dans le cadre du ERS-1 européen pour confirmer la pertinence des rapports de modélisation entre sigma-zero, alpha et le RPU. Dans une série chronologique couvrant toutes les conditions utilisées dans les rapports de modélisation, on a observé les mêmes grandes tendances entre sigma-zero, alpha et le RPU.Mots clés: modèles de diffusion d’hyperfréquences, neige, glace de mer, rayonnement climatologique de courtes longueurs d’onde, rayonnement photosynthétiquement utilisable, télédétection des ondes ultra-courte

The SIMMS Program: A Study of Change and Variability within the Marine Cryosphere

This paper describes the scientific context of an experimental program for an eight year study of change and variability within the marine cryosphere in the Canadian Arctic and summarizes the field program since its inception in 1990. The focus is on understanding the process linkages between the atmosphere, cryosphere and ocean at the sea ice interface and in establishing a method by which these processes can be modeled numerically. Remote sensing plays a significant role as a major source of temporally and spatially consistent data in this relatively inaccessible region. In this program, we combine in situ measurement of geophysical characteristics of the sea ice interface, electromagnetic radiation interactions with the interface, and numerical modeling of marine cryosphere processes operating across this interface. Our primary objective is to observe and simulate the mechanisms that may contribute to change and variability. We conclude by proposing a conceptual spatial signature of an icescape as the basis for integration of these processes and illustrate how remote sensing data can be used to identify these functional signatures.Key words: Canadian Arctic, marine cryosphere, remote sensing, atmosphere-cryosphere interactions, snow and sea iceCet article décrit le contexte scientifique d'un programme expérimental consistant en une étude portant sur une période de huit ans des changements et de la variabilité au sein de la cryosphère marine dans l'Arctique canadien, et il résume le programme de terrain depuis sa création en 1990. On se concentre sur la compréhension des liens entre les processus à l'oeuvre, à l'interface de la glace de mer, qui impliquent l'atmosphère, la cryosphère et l'océan, ainsi que sur l'élaboration d'une méthode permettant de faire une modélisation numérique de ces processus. La télédétection joue un rôle important comme source principale de données cohérentes sur les plans temporel et spatial provenant de cette région relativement inaccessible. Dans ce programme on combine les mesures in situ des caractéristiques géophysiques de l'interface de la glace de mer, les interactions du rayonnement électromagnétique avec l'interface et la modélisation numérique des processus de la cryosphère agissant à cette interface. Notre objectif premier est d'observer et de simuler les mécanismes qui peuvent contribuer au changement et à la variabilité. On conclut en proposant sur le plan conceptuel une signature spatiale d'un panorama glaciaire comme base d'intégration de ces processus, et on illustre la façon dont les données obtenues par la télédétection peuvent servir à identifier ces signatures fonctionnelles.Mots clés: Arctique canadien, cryosphère marine, télédétection, interactions atmosphère-cryosphère, neige et glace de me

Development and preliminary testing of the psychosocial adjustment to hereditary diseases scale

Background: The presence of Lynch syndrome (LS) can bring a lifetime of uncertainty to an entire family as members adjust to living with a high lifetime cancer risk. The research base on how individuals and families adjust to genetic-linked diseases following predictive genetic testing has increased our understanding of short-term impacts but gaps continue to exist in knowledge of important factors that facilitate or impede long-term adjustment. The failure of existing scales to detect psychosocial adjustment challenges in this population has led researchers to question the adequate sensitivity of these instruments. Furthermore, we have limited insight into the role of the family in promoting adjustment. Methods: The purpose of this study was to develop and initially validate the Psychosocial Adjustment to Hereditary Diseases (PAHD) scale. This scale consists of two subscales, the Burden of Knowing (BK) and Family Connectedness (FC). Items for the two subscales were generated from a qualitative data base and tested in a sample of 243 participants from families with LS. Results: The Multitrait/Multi-Item Analysis Program-Revised (MAP-R) was used to evaluate the psychometric properties of the PAHD. The findings support the convergent and discriminant validity of the subscales. Construct validity was confirmed by factor analysis and Cronbach’s alpha supported a strong internal consistency for BK (0.83) and FC (0.84). Conclusion: Preliminary testing suggests that the PAHD is a psychometrically sound scale capable of assessing psychosocial adjustment. We conclude that the PAHD may be a valuable monitoring tool to identify individuals and families who may require therapeutic interventions

Modeling synthetic aperture radar (SAR) scattering from a seasonally varying snow-covered sea ice volume at 5.3 and 9.25 GHz

A series of sensitivity analyses using dielectric, mixture and microwave scattering models is presented. Data from the Seasonal Sea Ice Monitoring and Modeling Site (SIMMS) in 1990 and 1991 are used to initialize the models. The objective of the research is to investigate the role of various geophysical and electrical properties in specifying the total relative scattering cross section (???) of snow covered first-year sea ice during the spring period. The seasonal transition period from the Winter SAR scattering season to Early Melt was shown to signal a transition in dielectric properties which caused the snow volume to become a factor in the microwave scattering process. The effect of the thermal insulation of a snow cover on sea ice was shown to be significant for both ?? and ???. Higher atmospheric temperatures caused proportionally greater changes in the dielectric properties of the sea ice at the base of the snow cover. Model ?0 was computed for a range of sensor, sensor-earth geometry, and geophysical properties. In the Winter season the surface roughness terms (ohand L) were shown to have a significant impact on ?0 when the ice surface was the primary scattering mechanism. Once the snow cover began to warm and water was available in a liquid phase, the ice surface became masked because of the decrease in microwave penetration depths. During this period the water volume variable dominated ?0, both from its impact on ?v0, and due to its control over the dielectric mismatch created at the air/snow interface

Measuring Climatic State Variables from SAR Images of Sea Ice: The SIMS SAR Validation Site in Lancaster Sound

ABSTRACT. In this paper we consider three aspects of arctic sea ice climate studies: a review of climate processes related to a seasonal sea ice cover, a review of how climate state variables related to the reviewed processes may be measured using remote sensing data, and an analysis of the relative utility of tonal versus textural classification of synthetic aperture radar (SAR) images of sea ice. The two reviews are presented in the context of a field validation experiment called the Seasonal Sea Ice Monitoring Site (SIMS) being conducted in Lancaster Sound/Barrow Strait, Northwest Territories (N.W.T.). The analysis of tone versus texture as a means of extracting ice type information from SAR images of sea ice is conducted using X-band, HH polarized data from the SIMS’90 field experiment and data collected over Mould Bay, N.W.T. Key words: climatology, remote sensing, synthetic aperture radar, sea ice RÉSUMÉ. Nous nous penchons dans cet article sur trois aspects concernant les études climatiques de la banquise arctique: une recension des processus climatiques liés it une couverture saisonnitre de la banquise, une recension des modes de mesure des variables de I’état climatique-en rapport avec les processus mentionnés ci-dessus- àl’aide de données obtenues par téI&létection, et enfin une analyse de l’utilité relative de la classification des tons par opposition it celle des textures apparaissant sur les images de la banquise obtenues grâce au radar à antenne synthétique (RAAS). On présente les deux recensions dans le contexte d’une expérience de validité sur le terrain appelée Seasonal Sea Ice Monitoring Site (SIMS), actuellement en cours dans les détroits de Lancaster et de Barrow (Territoires du Nord-Ouest). L‘analyse des tons par opposition aux textures comme moyen d’extraire de l’information sur le type de glace à partir d’images RAAS est faite à l’aide de donnees polarisées HH dans l

A practitioner's guide to thermal infrared remote sensing of rivers and streams: recent advances, precautions and considerations

Stream temperature is a key habitat variable controlling all physical and biological river processes. In light of the threat of climate change to fluvial environments, growing importance is being placed on the need to gain a better understanding of stream temperature dynamics. However, many current or historic stream temperature datasets are of very low spatial resolution. Such in situ measurements are often unable to provide the fine scale information on longitudinal or lateral temperature patterns necessary for understanding links between thermal heterogeneity and fluvial processes. In recent years, attention has therefore turned to the use of thermal infrared (TIR) remote sensing in order to acquire 2D stream temperature data at ecologically meaningful scales. While TIR remote sensing is a relatively mature technology in its own right, its application in fluvial environments is accompanied by a range of limitations and considerations that must be respected in order to ensure the acquisition of reasonable quality data. It is only in recent years that researchers have been started to shift from detailing the technical aspects of TIR imaging of river environments toward describing its application for river management and fundamental fluvial science. We critically review this recent research, demonstrating the utility of TIR for applied river temperature research. We also provide a detailed guide to the practical use of TIR in river environments with a view to further stimulating its use for advancing stream temperature science. WIREs Water 2016, 3:251–268. doi: 10.1002/wat2.113

Development and preliminary testing of the psychosocial adjustment to hereditary diseases scale

Abstract Background The presence of Lynch syndrome (LS) can bring a lifetime of uncertainty to an entire family as members adjust to living with a high lifetime cancer risk. The research base on how individuals and families adjust to genetic-linked diseases following predictive genetic testing has increased our understanding of short-term impacts but gaps continue to exist in knowledge of important factors that facilitate or impede long-term adjustment. The failure of existing scales to detect psychosocial adjustment challenges in this population has led researchers to question the adequate sensitivity of these instruments. Furthermore, we have limited insight into the role of the family in promoting adjustment. Methods The purpose of this study was to develop and initially validate the Psychosocial Adjustment to Hereditary Diseases (PAHD) scale. This scale consists of two subscales, the Burden of Knowing (BK) and Family Connectedness (FC). Items for the two subscales were generated from a qualitative data base and tested in a sample of 243 participants from families with LS. Results The Multitrait/Multi-Item Analysis Program-Revised (MAP-R) was used to evaluate the psychometric properties of the PAHD. The findings support the convergent and discriminant validity of the subscales. Construct validity was confirmed by factor analysis and Cronbach’s alpha supported a strong internal consistency for BK (0.83) and FC (0.84). Conclusion Preliminary testing suggests that the PAHD is a psychometrically sound scale capable of assessing psychosocial adjustment. We conclude that the PAHD may be a valuable monitoring tool to identify individuals and families who may require therapeutic interventions