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.

The adverse effect of ambient temperature on respiratory deaths in a high population density area: the case of Malta.

BACKGROUND: The effect of ambient temperature on respiratory mortality has been consistently observed throughout the world under different climate change scenarios. Countries experiencing greater inter-annual variability in winter temperatures (and may not be lowest winter temperatures) have greater excess winter mortality compared to countries with colder winters. This study investigates the association between temperature and respiratory deaths in Malta which has one of the highest population densities in the world with a climate that is very hot in summer and mild in winter. METHODS: Daily number of respiratory deaths (7679 deaths) and meteorological data (daily average temperature, daily average humidity) were obtained from January 1992 to December 2017. The hot and cold effects were estimated at different temperatures using distributed lag non-linear models (DLNM) with a Poisson distribution, controlling for time trend, relative humidity and holidays. The reference temperature (MMT) for the minimum response-exposure relationship was estimated and the harvesting effects of daily temperature (0-27 lag days) were investigated for daily respiratory mortality. Effects were also explored for different age groups, gender and time periods. RESULTS: Cooler temperatures (8-15 °C) were significantly related to higher respiratory mortality. At 8.9 °C (1st percentile), the overall effect of daily mean temperature was related to respiratory deaths (RR 2.24, 95%CI 1.10-4.54). These effects were also found for males (95%CI 1.06-7.77) and males across different age groups (Males Over 65 years: RR 4.85, 95%CI 2.02-11.63 vs Males between 16 and 64 years: RR 5.00, 95%CI 2.08-12.03) but not for females. Interestingly, colder temperatures were related to respiratory deaths in the earliest time period (1992-2000), however, no strong cold effect was observed for later periods (2000-2017). In contrast, no heat effect was observed during the study period and across other groups. CONCLUSIONS: The higher risk for cold-related respiratory mortality observed in this study could be due to greater inter-annual variability in winter temperatures which needs further exploration after adjusting for potential physical and socio-demographic attributes. The study provides useful evidence for policymakers to improve local warning systems, adaptation, and intervention strategies to reduce the impact of cold temperatures.

Brachytrupes megacephalus Lefèbvre, 1827 (Orthoptera, Gryllidae) in the Maltese Islands: notes on biogeography, behaviour, and habitat of populations in the central Mediterranean area and the Maghreb.

Brachytrupes megacephalus (Lefebvre, 1827) is of significant biogeographic importance. It occurs in Sicily and on some of the circum-Sicilian and Pelagian islands, as well as in the Maltese Islands, Sardinia and the Maghreb (notably but not exclusively, in Algeria and Tunisia, where it maintains populations in both coastal and desert regions). Within European territory, it occurs solely in Italy and Malta, where it is protected under the EU Habitats Directive and the Bern Convention. In northern Africa, the species is regarded as a polyphagous pest, particularly in Saharan locations. The present work is based on field observations, mostly from the Maltese Islands, that span more than three decades; it provides insights on spatial distribution, population trends and behaviour. In examining the relationship between the species' frequency during its mating season and weather conditions, results suggest a weak yet statistically significant correlation between mating strategies and ambient meteorological conditions. Moreover, patch occupancy in spring and autumn varied considerably within a specified area of study, primarily due to competitive mating strategies employed in spring, with an occupancy ratio of approximately 1:6. To-date, the species is known from 13 locations, one in Gozo and 12 in Malta, of which some constitute the Ahrax promontory metapopulation. Connectivity between the Ahrax subpopulation cluster is discussed in the light of habitat and topographical characteristics. Contrasting findings on variances in behaviour between Maltese populations and other populations in Sicily and the Maghreb are discussed. Discernible behavioural disparities include the length of excavated tunnels during spring and summer/autumn seasons in the different geographical locations, attraction to artificial sources of light, and the degree of damage to crops across geographic regions.