Data formats and standards for opportunistic rainfall sensors.

Opportunistic sensors are increasingly used for rainfall measurement. However, their raw data are collected by a variety of systems that are often not primarily intended for rainfall monitoring, resulting in a plethora of different data formats and a lack of common standards. This hinders the sharing of opportunistic sensing (OS) data, their automated processing, and, at the end, their practical usage and integration into standard observation systems. This paper summarises the experiences of the more than 100 members of the OpenSense Cost Action involved in the OS of rainfall. We review the current practice of collecting and storing precipitation OS data and corresponding metadata, and propose new common guidelines describing the requirements on data and metadata collection, harmonising naming conventions, and defining human-readable and machine readable file formats for data and metadata storage. We focus on three sensors identified by the OpenSense community as prominent representatives of the OS of precipitation: Commercial microwave links (CML): fixed point-to-point radio links mainly used as backhauling connections in telecommunication networks Satellite microwave links (SML): radio links between geostationary Earth orbit (GEO) satellites and ground user terminals. Personal weather stations (PWS): non-professional meteorological sensors owned by citizens. The conventions presented in this paper are primarily designed for storing, handling, and sharing historical time series and do not consider specific requirements for using OS data in real time for operational purposes. The conventions are already now accepted by the ever growing OpenSense community and represent an important step towards automated processing of OS raw data and community development of joint OS software packages.

Opportunistic sensors, devices primarily intended not intended for sensing, are increasingly used for rainfall measurement. The lack of conventions defining which data should be stored and how, makes it difficult to automatically process the data and integrate these observations into standard monitoring networks. This paper reviews current practice of collecting and storing precipitation opportunistic sensing (OS) data based on the experience of more than 100 members of the OpenSense Cost Action and suggest common data format standards. We focus on three sensors identified by the OpenSense community as prominent representatives of the OS of precipitation: Commercial microwave links (CML), Satellite Microwave Links (SML), and Personal Weather Stations (PWS). The conventions are already now accepted by the ever growing OpenSense community and represent an important step towards automated processing of OS raw data and community development of joint OS software packages.

Causative classification of river flood events.

A wide variety of processes controls the time of occurrence, duration, extent, and severity of river floods. Classifying flood events by their causative processes may assist in enhancing the accuracy of local and regional flood frequency estimates and support the detection and interpretation of any changes in flood occurrence and magnitudes. This paper provides a critical review of existing causative classifications of instrumental and preinstrumental series of flood events, discusses their validity and applications, and identifies opportunities for moving toward more comprehensive approaches. So far no unified definition of causative mechanisms of flood events exists. Existing frameworks for classification of instrumental and preinstrumental series of flood events adopt different perspectives: hydroclimatic (large-scale circulation patterns and atmospheric state at the time of the event), hydrological (catchment scale precipitation patterns and antecedent catchment state), and hydrograph-based (indirectly considering generating mechanisms through their effects on hydrograph characteristics). All of these approaches intend to capture the flood generating mechanisms and are useful for characterizing the flood processes at various spatial and temporal scales. However, uncertainty analyses with respect to indicators, classification methods, and data to assess the robustness of the classification are rarely performed which limits the transferability across different geographic regions. It is argued that more rigorous testing is needed. There are opportunities for extending classification methods to include indicators of space-time dynamics of rainfall, antecedent wetness, and routing effects, which will make the classification schemes even more useful for understanding and estimating floods. This article is categorized under:Science of Water > Water ExtremesScience of Water > Hydrological ProcessesScience of Water > Methods.

Obstructive Sleep Apnoea Screening Preoperatively with the Epworth Questionnaire: Is It Worth It ?

BACKGROUND: The prevalence of obstructive sleep apnoea (OSA) in the bariatric population has been reported to be as high as 60-83%. The Epworth Sleepiness Scale (ESS) is a validated, self-administrated eight-item questionnaire that measures subjective daytime sleepiness and thus helps to identify high-risk for OSA. OBJECTIVES: To find the prevalence of OSA in patients undergoing bariatric surgery who do not routinely undergo polysomnography (PSG) and are screened by the ESS. METHODS: All consecutive 425 patients who underwent bariatric surgery in our tercier referral centre from January 2012 to June 2017 were included in this prospective study. Patient demographics and ESS score were recorded prior to the bariatric surgery and patients were divided into low-risk (ESS < 11), high-risk (≥ 11) and "known-OSA" groups. RESULTS: The community-based OSA prevalence was 14% (59 patients). ESS-positive predictive value was 60%. There was no significant difference in BMI and excess body-weight, but patients with OSA were older and had a lower female ratio (75% vs 42%). The unplanned ICU admission rate was comparable amongst the low- and high-ESS group (2.2% and 2.1%, respectively); similarly, the respiratory and chest complication rate were similar. The median hospital stay for patients diagnosed with OSA was a half day longer; the high-score patients stayed significantly longer than the low-score patients (p = 0.017). CONCLUSION: In our study, the OSA prevalence was low (20%). We think that the ESS does not have significant predicting value before bariatric surgery and overall the OSA is "overhyped" in the bariatric pathway.

Anesthetic management of preschool children with penetrating eye injuries: postal survey of pediatric anesthetists and review of the available evidence.

BACKGROUND: Pediatric anesthetists were surveyed regarding their anesthesia management of a screaming child with a penetrating eye injury. The results are reviewed in relation to the available evidence in the literature. METHODS: A postal survey was sent to all the members of the APA living in the UK. Seven clinical questions were asked regarding the management of penetrating eye injury and two questions regarding seniority and the number of cases seen. RESULTS: Of the 318 questionnaires sent out 238 were evaluated. Of the responders indicating the number of cases seen, 21.2% had never seen a single case, 55.1% had seen <5, 17.8% had seen 5-10, and 5.9% had seen >10 cases. Suxamethonium was used more often by respondents who had handled more cases; 42.9% of those doing >10 compared with 10% of those doing less than five cases. Senior anesthetists preferred the use of techniques without relaxants and to extubate children under deep anesthesia. CONCLUSIONS: Few people have extensive experience managing a penetrating eye injury in a child. A variety of anesthesia techniques are used for induction with anesthetists avoiding suxamethonium, despite there being little evidence in the literature that the use of suxamethonium is harmful to the open globe.