Implementation of a MEIoT Weather Station with Exogenous Disturbance Input.

Due to the emergence of the coronavirus disease (COVID 19), education systems in most countries have adapted and quickly changed their teaching strategy to online teaching. This paper presents the design and implementation of a novel Internet of Things (IoT) device, called MEIoT weather station, which incorporates an exogenous disturbance input, within the National Digital Observatory of Smart Environments (OBNiSE) architecture. The exogenous disturbance input involves a wind blower based on a DC brushless motor. It can be controlled, via Node-RED platform, manually through a sliding bar, or automatically via different predefined profile functions, modifying the wind speed and the wind vane sensor variables. An application to Engineering Education is presented with a case study that includes the instructional design for the least-squares regression topic for linear, quadratic, and cubic approximations within the Educational Mechatronics Conceptual Framework (EMCF) to show the relevance of this proposal. This work's main contribution to the state-of-the-art is to turn a weather monitoring system into a hybrid hands-on learning approach thanks to the integrated exogenous disturbance input.

Agricultural drought early warning from geostationary meteorological satellites: concept and demonstration over semi-arid tract in India.

Remote sensing data from Indian geostationary satellites (Kalapana-1, INSAT 3A) were used for the first time for early warning of agricultural drought and forewarning of crop vigour. An Early warning indicator (EWI) was developed from operational product of rainfall and reference evapotranspiration from observations of Kalpana-1 very high resolution radiometer (VHRR). The effectiveness of EWI was evaluated for the two drought years (2009 and 2012). The positive correlation (r = 0.66-0.68 for 2009 and r = 0.64-0.70 for 2012) between the EWI in the month of June-July and standardized precipitation index-1 (SPI-1) averaged over administrative unit (called district) indicates that EWI can be used successfully for drought early warning. Lag-response behaviour between EWI and crop vigour in terms of normalized difference vegetation index (NDVI) and LAI (leaf area index) over cropland was studied. Systematic patterns emerged for 30 days lag period between negative EWI and NDVI at both grid-scale (0.25°) and at district level. Linear relations were found between 10-day EWI and NDVI or LAI at 30 days lag during June-July period. Linear models were developed to forewarn crop vigour which was validated with realized NDVI from INSAT 3A charge-coupled device (CCD) observations within 95% accuracy. The EWI is recommended as potential indicator for early-season agricultural drought assessment and can be used for sub-district scale with finer scale rainfall and evaporation products from advanced next-generation geostationary meteorological satellites.

Evaluating meteorological data from weather stations, and from satellites and global models for a multi-site epidemiological study.

BACKGROUND: Longitudinal and time series analyses are needed to characterize the associations between hydrometeorological parameters and health outcomes. Earth Observation (EO) climate data products derived from satellites and global model-based reanalysis have the potential to be used as surrogates in situations and locations where weather-station based observations are inadequate or incomplete. However, these products often lack direct evaluation at specific sites of epidemiological interest. METHODS: Standard evaluation metrics of correlation, agreement, bias and error were applied to a set of ten hydrometeorological variables extracted from two quasi-global, commonly used climate data products - the Global Land Data Assimilation System (GLDAS) and Climate Hazards Group InfraRed Precipitation with Stations (CHIRPS) - to evaluate their performance relative to weather-station derived estimates at the specific geographic locations of the eight sites in a multi-site cohort study. These metrics were calculated for both daily estimates and 7-day averages and for a rotavirus-peak-season subset. Then the variables from the two sources were each used as predictors in longitudinal regression models to test their association with rotavirus infection in the cohort after adjusting for covariates. RESULTS: The availability and completeness of station-based validation data varied depending on the variable and study site. The performance of the two gridded climate models varied considerably within the same location and for the same variable across locations, according to different evaluation criteria and for the peak-season compared to the full dataset in ways that showed no obvious pattern. They also differed in the statistical significance of their association with the rotavirus outcome. For some variables, the station-based records showed a strong association while the EO-derived estimates showed none, while for others, the opposite was true. CONCLUSION: Researchers wishing to utilize publicly available climate data - whether EO-derived or station based - are advised to recognize their specific limitations both in the analysis and the interpretation of the results. Epidemiologists engaged in prospective research into environmentally driven diseases should install their own weather monitoring stations at their study sites whenever possible, in order to circumvent the constraints of choosing between distant or incomplete station data or unverified EO estimates.

The use of National Weather Service Data to Compute the Dose to the MEOI.

The Turner method is the "benchmark method" for computing the stability class that is used to compute the X/Q (s m). The Turner method should be used to ascertain the validity of X/Q results determined by other methods. This paper used site-specific meteorological data obtained from the National Weather Service. The Turner method described herein is simple, quick, accurate, and transparent because all of the data, calculations, and results are visible for verification and validation with published literature.

Eyes on our planet.

Combining several satellite-based tracking technologies with big data methods and machine learning, fisheries experts can now efficiently monitor the entirety of the oceans and ensure that legal limits and protected areas are respected. Observing our planet from space is also proving a fruitful approach in other areas of conservation, ecology and climate research. Michael Gross reports.

The « Intelligent Wardrobe ¼.

In an ageing society technical systems that support the residents at home are becoming increasingly important. Many of the technologies available today focus on detecting falls or monitoring the health of residents. There are a few projects that focus the « smart home for the elderly ¼ and offer support for the daily activities. The Institute of Medical Informatics of the Bern University of Applied Sciences has developed a prototype of an intelligent wardrobe. Based on sensor data from the apartment like inside temperature, weather forecast and todays events suggestions for appropriate clothes are generated and shown on a display. To facilitate the search, the garments are marked in the closet with colored LEDs.

Larva migrans cutánea de origen autóctono en Guipúzcoa / Autochthonous cutaneous larva migrans infection in Guipúzcoa

INTRODUCCIÓN: Larva migrans cutánea (LM) es una erupción serpiginosa causada por helmintos nematodos que circulan por la epidermis. Se adquiere cuando la piel entra en contacto con tierra contaminada por heces de animales infestados por estos nematodos. Hasta ahora se consideraba como enfermedad importada de zonas tropicales y subtropicales. El objetivo fue estudiar los casos de LM diagnosticados como autóctonos por no haber salido de la provincia de Guipúzcoa recientemente. MATERIAL Y MÉTODOS: Estudio observacional transversal retrospectivo de los casos diagnosticados de LM en el Hospital Universitario Donostia de 2011 a 2015, sin viaje previo a ninguna zona endémica de este cuadro. El diagnóstico fue clínico ante las lesiones características. Las variables estudiadas fueron: edad, género, localización de las lesiones, fecha de inicio de los síntomas, posible fuente de contagio, datos anatomo-patológicos, tratamiento y evolución. RESULTADOS: Se han recogido 4 casos, todos varones, con una media de edad de 60 años. Tres casos presentaron lesiones en las extremidades inferiores, mientras que uno lo hizo en el tronco. Todos nuestros pacientes habían estado en contacto con tierra que pudiera estar contaminada por heces, siendo este el mecanismo de transmisión más probable. Se instauró tratamiento con albendazol oral, con resolución de las lesiones. CONCLUSIONES: La aparición de nuevos casos de LM de origen autóctono en Europa obliga al estudio de la/s especie/s causal/es, a una revisión epidemiológica de esta infestación y a planificar qué medidas se deberían tomar para evitar que una enfermedad considerada hasta ahora como importada, se convierta en autóctona

INTRODUCTION: Cutaneous larva migrans (LM) infection forms a serpiginous eruption caused by the migration of nematode helminths through the epidermis. The parasites are acquired when the skin comes into contact with soil contaminated by the feces of infected animals. Until now, infections have been believed to be imported from tropical and subtropical regions. Our aim was to study cases of cutaneous LM diagnosed in residents of the Spanish province of Guipúzcoa who had not recently traveled to such regions. Material and methods; Cross-sectional observational study of LM cases diagnosed in Hospital Universitario Donostia from 2011 to 2015 in patients who had not visited a region where this nematode infection is endemic. Clinical diagnoses were based on characteristic lesions. We studied the following variables: age, sex, site of lesions, date of onset of symptoms, possible source of contagion, pathologic findings, treatment, and clinical course. RESULTS: We found 4 cases, all in men (mean age, 60 years). Lesions were on the lower extremities in 3 patients and on the trunk in 1 patient. All had been in contact with soil that could have been contaminated by feces and was the most likely source of the parasite. The lesions disappeared after treatment with oral albendazole. CONCLUSIONS: The appearance of cases of autochthonous LM in Europe requires investigation of the culprit species, a review of the epidemiology of this infection, which was once considered imported, and the planning of public health measures to prevent it from becoming endemic

Time, Weather and Empires: The Campos Rodrigues Observatory in Lourenço Marques, Mozambique (1905-1930).

In 1905 the Campos Rodrigues Observatory (CRO) was founded in Lourenço Marques (nowadays Maputo), the capital of Mozambique, by then part of the Portuguese overseas empire. In this paper the inception and early history of the CRO are analysed in the broader context of the interwoven history of the Portuguese and British empires in Africa, and specifically with respect to the scientific relations between Mozambique and South Africa. The equipment, personnel, practices and networks involved in the inception and early development of the CRO are brought into focus in order to illustrate the problems and strategies that shaped the establishment and functioning of this observatory, which was conceived essentially as a symbol of imperial stamina and colonial prowess. It is suggested that by providing a focal point for the development of scientific relations between Mozambique and South Africa, the CRO served both Portuguese ambitions for recognition as an imperial power and the emergence of South African nationalism.

MEVA--An Interactive Visualization Application for Validation of Multifaceted Meteorological Data with Multiple 3D Devices.

BACKGROUND: To achieve more realistic simulations, meteorologists develop and use models with increasing spatial and temporal resolution. The analyzing, comparing, and visualizing of resulting simulations becomes more and more challenging due to the growing amounts and multifaceted character of the data. Various data sources, numerous variables and multiple simulations lead to a complex database. Although a variety of software exists suited for the visualization of meteorological data, none of them fulfills all of the typical domain-specific requirements: support for quasi-standard data formats and different grid types, standard visualization techniques for scalar and vector data, visualization of the context (e.g., topography) and other static data, support for multiple presentation devices used in modern sciences (e.g., virtual reality), a user-friendly interface, and suitability for cooperative work. METHODS AND RESULTS: Instead of attempting to develop yet another new visualization system to fulfill all possible needs in this application domain, our approach is to provide a flexible workflow that combines different existing state-of-the-art visualization software components in order to hide the complexity of 3D data visualization tools from the end user. To complete the workflow and to enable the domain scientists to interactively visualize their data without advanced skills in 3D visualization systems, we developed a lightweight custom visualization application (MEVA - multifaceted environmental data visualization application) that supports the most relevant visualization and interaction techniques and can be easily deployed. Specifically, our workflow combines a variety of different data abstraction methods provided by a state-of-the-art 3D visualization application with the interaction and presentation features of a computer-games engine. Our customized application includes solutions for the analysis of multirun data, specifically with respect to data uncertainty and differences between simulation runs. In an iterative development process, our easy-to-use application was developed in close cooperation with meteorologists and visualization experts. The usability of the application has been validated with user tests. We report on how this application supports the users to prove and disprove existing hypotheses and discover new insights. In addition, the application has been used at public events to communicate research results.

Commercial microwave links instead of rain gauges: fiction or reality?

Commercial microwave links (MWLs) were suggested about a decade ago as a new source for quantitative precipitation estimates (QPEs). Meanwhile, the theory is well understood and rainfall monitoring with MWLs is on its way to being a mature technology, with several well-documented case studies, which investigate QPEs from multiple MWLs on the mesoscale. However, the potential of MWLs to observe microscale rainfall variability, which is important for urban hydrology, has not been investigated yet. In this paper, we assess the potential of MWLs to capture the spatio-temporal rainfall dynamics over small catchments of a few square kilometres. Specifically, we investigate the influence of different MWL topologies on areal rainfall estimation, which is important for experimental design or to a priori check the feasibility of using MWLs. In a dedicated case study in Prague, Czech Republic, we collected a unique dataset of 14 MWL signals with a temporal resolution of a few seconds and compared the QPEs from the MWLs to reference rainfall from multiple rain gauges. Our results show that, although QPEs from most MWLs are probably positively biased, they capture spatio-temporal rainfall variability on the microscale very well. Thus, they have great potential to improve runoff predictions. This is especially beneficial for heavy rainfall, which is usually decisive for urban drainage design.

A mobile system for quantifying the spatial variability of the surface energy balance: design and application.

We present a mobile device for the quantification of the small-scale (a few square meters) spatial variability in the surface energy balance components and several auxiliary variables of short-statured (<1 m) canopies. The key element of the mobile device is a handheld four-component net radiometer for the quantification of net radiation, albedo and infrared surface temperature, which is complemented with measurements of air temperature, wind speed, soil temperature and soil water content. Data are acquired by a battery-powered data logger, which is mounted on a backpack together with the auxiliary sensors. The proposed device was developed to bridge between the spatial scales of satellite/airborne remote sensing and fixed, stationary tower-based measurements with an emphasis on micrometeorological, catchment hydrological and landscape-ecological research questions. The potential of the new device is demonstrated through four selected case studies, which cover the issues of net radiation heterogeneity within the footprint of eddy covariance flux measurements due to (1) land use and (2) slope and aspect of the underlying surface, (3) controls on landscape-scale variability in soil temperature and albedo and (4) the estimation of evapotranspiration based exclusively on measurements with the mobile device.

Methods and techniques for measuring gas emissions from agricultural and animal feeding operations.

Emissions of gases from agricultural and animal feeding operations contribute to climate change, produce odors, degrade sensitive ecosystems, and pose a threat to public health. The complexity of processes and environmental variables affecting these emissions complicate accurate and reliable quantification of gas fluxes and production rates. Although a plethora of measurement technologies exist, each method has its limitations that exacerbate accurate quantification of gas fluxes. Despite a growing interest in gas emission measurements, only a few available technologies include real-time, continuous monitoring capabilities. Commonly applied state-of-the-art measurement frameworks and technologies were critically examined and discussed, and recommendations for future research to address real-time monitoring requirements for forthcoming regulation and management needs are provided.

A space weather forecasting system with multiple satellites based on a self-recognizing network.

This paper proposes a space weather forecasting system at geostationary orbit for high-energy electron flux (>2 MeV). The forecasting model involves multiple sensors on multiple satellites. The sensors interconnect and evaluate each other to predict future conditions at geostationary orbit. The proposed forecasting model is constructed using a dynamic relational network for sensor diagnosis and event monitoring. The sensors of the proposed model are located at different positions in space. The satellites for solar monitoring equip with monitoring devices for the interplanetary magnetic field and solar wind speed. The satellites orbit near the Earth monitoring high-energy electron flux. We investigate forecasting for typical two examples by comparing the performance of two models with different numbers of sensors. We demonstrate the prediction by the proposed model against coronal mass ejections and a coronal hole. This paper aims to investigate a possibility of space weather forecasting based on the satellite network with in-situ sensing.

Predictable pollution: an assessment of weather balloons and associated impacts on the marine environment--an example for the Great Barrier Reef, Australia.

Efforts to curb pollution in the marine environment are covered by national and international legislation, yet weather balloons are released into the environment with no salvage agenda. Here, we assess impacts associated with weather balloons in the Great Barrier Reef World Heritage Area (GBRWHA). We use modeling to assess the probability of ocean endpoints for released weather balloons and predict pathways post-release. In addition, we use 21 months of data from beach cleanup events to validate our results and assess the abundance and frequency of weather balloon fragments in the GBRWHA. We found between 65% and 70% of balloons land in the ocean and ocean currents largely determine final endpoints. Beach cleanup data revealed 2460 weather balloon fragments were recovered from 24 sites within the GBRWHA. This is the first attempt to quantify this problem and these data will add support to a much-needed mitigation strategy for weather balloon waste.

A radiosonde using a humidity sensor array with a platinum resistance heater and multi-sensor data fusion.

This paper describes the design and implementation of a radiosonde which can measure the meteorological temperature, humidity, pressure, and other atmospheric data. The system is composed of a CPU, microwave module, temperature sensor, pressure sensor and humidity sensor array. In order to effectively solve the humidity sensor condensation problem due to the low temperatures in the high altitude environment, a capacitive humidity sensor including four humidity sensors to collect meteorological humidity and a platinum resistance heater was developed using micro-electro-mechanical-system (MEMS) technology. A platinum resistance wire with 99.999% purity and 0.023 mm in diameter was used to obtain the meteorological temperature. A multi-sensor data fusion technique was applied to process the atmospheric data. Static and dynamic experimental results show that the designed humidity sensor with platinum resistance heater can effectively tackle the sensor condensation problem, shorten response times and enhance sensitivity. The humidity sensor array can improve measurement accuracy and obtain a reliable initial meteorological humidity data, while the multi-sensor data fusion technique eliminates the uncertainty in the measurement. The radiosonde can accurately reflect the meteorological changes.