A LITERATURE REVIEW OF TELEMEDICINE IN INDONESIA: PAST, PRESENT, AND FUTURE PROSPECTIVE

Background: Indonesia has a great potential in the development of digital health technologies. However, several challenges might also arise in hand with the development of telemedicine. Aims: We aimed to conduct a literature review of the use of telemedicine in Indonesia in order to know how the start is, the development, and future considerations of its usage. Methods: From the digital databases of PubMed, Google Scholar, and Neliti (Indonesia's Research Repository), each author completed literature searches of telemedicine in Indonesia from 1985 to 2021. Results: A total of 8 studies were included in current literature review. In 1985-1987, Indonesia undertook the first satellite-based telemedicine. During the early twenty-first century, rapid improvements in information technology have expanded to other industries, including health care through telemedicine. Covid-19 dilemma compels physicians to adopt. Through telemedicine, many is experienced the benefit during the pandemic. However, in developing telemedicine system for the future, the use of telemedicine has several challenges, namely related to human resources, infrastructure and ethical regulations. Conclusion: When telehealth is successfully implemented in Indonesia, it will benefit both the developer and the consumer. Despite the benefits, the challenge of implementing and developing a comprehensive eHealth environment in Indonesia might be seen as tremendous, given that the country is currently developing its infrastructure. © 2022, The authors.

Covid-19 lockdown effect on aerosol optical depth in Delhi National Capital Region, India

Coronavirus cases in India have been steadily increasing since March 2020. COronaVIrus Disease 2019 (COVID-19) has been managed by a variety of preventative measures. A prominent measure by the Government of India to prevent the spread of Coronavirus Disease 2019 (COVID-19) began on March 25, 2020, with a complete suspension of all outdoor activities throughout the country. Such complete lockdown has resulted in a decrease in anthropogenic emissions, which is partly due to restrictions on human activities. Delhi National Capital Region (NCR), a landlocked area, suffers from high amounts of aerosols due to both natural and anthropogenic sources. The present research focuses on changes in Aerosol Optical Depth (AOD) prior to and during lockdown (initial and second lockdown phases) around satellite cities (Faridabad, Ghaziabad, Gautam Budh Nagar and Gurugram) of Delhi using high-resolution MODIS AOD product. With the implementation of lockdown measures in phase I and phase III of the current study region, AOD decreased dramatically, while phase II and phase IV lockdown phases had a higher concentration of aerosol. An unexpected increase in AOD occurred during the second lockdown compared with the initial lockdown and before the lockdown. Overall, the average percentage change from 2019 to 2020 during first lockdown is -4.44%, while the average percentage change from 2020 to 2021 is 27.63%. © 2022 The Author(s). Published by Forum geografic.

Citizen empowerment through smart surveillance: evidence from Indian smart cities

PurposeCitizens often perceive surveillance by government authorities as oppressive and, hence, demonstrate reluctance in value co-creation from such services. This study aims to investigate the challenges and benefits of citizen empowerment through technology-driven surveillance or "smart surveillance.”Design/methodology/approachGuided by Dynamic Capability theory, the authors conduct in-depth interviews with officers in-charge of surveillance in smart cities. Given the contemporary advancements, this approach allows a retrospective and real-time understanding of interviewees' experiences with smart surveillance.FindingsThe authors develop five propositions for citizen empowerment through smart surveillance to summarize the findings of this study.Research limitations/implicationsThis study advances the relevance of Dynamic Capability in public administration.Practical implicationsSmart city authorities and policymakers may leverage the insights provided in this study to design appropriate policies for smart surveillance.Originality/valueThe authors find that factors such as digital technology and infrastructure, information management, skill divide and perceived return on investment may influence citizen empowerment through smart surveillance.

Night-time Human Mobility during Pandemic in the Philippines as Observed by VIIRS Satellite

Recent research has analyzed and studied the growing literature on human mobility during quarantine periods using various methodology and techniques. There are several ways to use light pollution to assess mobility. The data from the VIIRS satellite can be used to quantify light pollution and human mobility in the Philippines during quarantine. The data utilized in this study came from NASA's EOSDIS Worldview website. The number of cases and pixels count increases from early April 2020 to late August 2020. However, the cases increased from February to April 2021. This could be attributed to the active human mobility seen between December 2020 and January 2021. Human interactions have been intense since August 2020, causing an increase in COVID cases that peaked between March and April 2021, before dropping in May 2021. Following the conclusion of this study, light pollution VIIRS satellite pictures can be used to identify possible COVID- 19 cases. There are many more factors and variables to consider when writing a comprehensive paper. With the relaxed quarantine time has been achieved beyond June 2021, additional dates may be explored since there may be a direct relationship between light pollution and COVID-19 instances. © 2022 IEEE.

Do the people of Jakarta trust Jakarta Kini super application?

Research trust in e-government has increased through the decades. Trust in e-government is an important instrument for citizens who intend to use digital services. The aim of this research is to measure and provide an overview of how the level of people trust Jakarta Kini super-application as an e-Government in DKI Jakarta. This study uses a factor score analysis with the Mplus program and OECD method to characterize the trust level of the valid instruments SRMR, CFI, and TLI values. The pre-test results on the validity and reliability of Confirmatory Factor Analysis (CFA) with 1687 respondents. The results of this study indicate that the level of trust of the people in DKI Jakarta is in the medium to high category. It was found based on the factor score value in accordance with the average level of trust in the DKI Jakarta Provincial Government, which was 7.5 out of 10, with a scale of 1 indicating no trust at all, to a scale of 10 indicating full trust from the entire population. This level belongs to the medium to full trust level category. The lesson learned is that the government must take action to increase trust, such as identifying factors affecting the public use of the Jakarta Kini super-application. This study provides a discussion of the findings, and limitations and further proposes potential directions for future research.

Neuromuscular disease: 2021 update.

This review highlights ten important advances in the neuromuscular disease field that were first reported in 2020. The overarching topics include (i) advances in understanding of fundamental neuromuscular biology; (ii) new / emerging diseases; (iii) advances in understanding of disease etiology and pathogenesis; (iv) diagnostic advances; and (v) therapeutic advances. Within this broad framework, the individual disease entities that are discussed in more detail include neuromuscular complications of COVID-19, supervillin-deficient myopathy, 19p13.3-linked distal myopathy, vasculitic neuropathy due to eosinophilic granulomatosis with polyangiitis, spinal muscular atrophy, idiopathic inflammatory myopathies, and transthyretin neuropathy/myopathy. In addition, the review highlights several other advances (such as the revised view of the myofibrillar architecture, new insights into molecular and cellular mechanisms of muscle regeneration, and development of new electron microscopy tools) that will likely have a significant impact on the overall neuromuscular disease field going forward.

Editorial

We are presenting you this issue of ABAC ODI JOURL Vision . Action. Outcome with ten articles on topics on managing innovation in teaching on various levels and disciplines such as the arts, language, and film ;as well as research articles on organization development interventions that generated change on organizations .Hui Tan and Laura Brahmakasikara's article " A Blended Learning Design to Improve Non-Music Students' Knowledge of Chinese Traditional Music in Hunan Agriculture University” is a quasi-experiment research that determined how blended Chinese Traditional Music Appreciation Course using Superstar Learning Application improves the Chinese traditional music knowledge of non-music majors.The article "Factors Influencing the Use of Ubiquitous Learning in Higher Education in Sichuan, China in the Aftermath of Covid-19 Pandemic” by Meizi Huang utilized confirmation factor analysis and structural equation modeling on data analysis . Results showed that intention to use has the strongest effect on actual system use;effort expectancy, facilitating conditions, and social influence except performance expectancy has positive affect the intention to use u-learning.Zhao Lina and Laura Brahmakasikara's article " Adopting a Blended Learning Approach for Teaching Chinese Classical Dance” explored the effectiveness of the blended Chinese classical dance course in improving the dance performance of dance students at the College of Art and Design at Guangdong University of Petrochemical Technology, China."An Application of Video Recording Technology to Enhance the Key Leader Engagement Performance at SWCS” written by Timothy Guy Burgess involved the introduction of video recording technology into a classroom of military students to enhance Key Leader Engagement (KLE) performance. The research determined the effectiveness of using video recording technology in improving the students' level of performance in the Special Forces Warrant Officer Technical and Tactical Certification at the U.S. Army Special Warfare Center and School.Jianjun Xue and Watana Vinitwatanakhun's article " Improving Students' English Proficiency by Enhancing the Motivation through Organization Development Intervention— An Action Research Study of a Local University in China” discusses how organization development interventions enhance students' language learning motivation . Results show that language learning motivation has significant impacts on students' language proficiency.The article " Reflective Coaching for the Development of Pedagogical Content Knowledge of Biology Teachers in Thailand” by Nunnapat Thilaworrakan and Ladapa Ladachart is qualitative research that explored the effects of reflective coaching on developing pedagogical content knowledge (PCK) of biology teachers regarding cell biology. The article authored by Thida Tin and Papitchaya Wisankosol on "Enhancing Supportive Leadership, Affective Organizational Commitment, and Work Engagement: A Participatory Action Research Approach” reports how work engagement and affective commitment were enhanced through organizational development interventions (ODI) at the Gold Power Company Limited (GPCL). The results indicate that the use of ODI improved supportive leadership . affective organizational commitment, and work engagement .The article of Mohammad Shazzad Hossain and Chompu Nuangjamnong on the "Development of E-Readiness Scale in Blended Learning in Filmmaking Program for a Private University in Bangladesh – Initial Stage” develop a unified scale to assess the higher education institute's e-readiness that will identify their strengths and weaknesses and formulate a plan for creating an e-learning environment. The results indicated that the compiled instruments are good to excellent and that the institutional e-readiness scale could assess the e-readiness of other universities in Bangladesh.The research " Improving EFL Students' Critical Thinking Skills through Organization Development Inter ention Strategies at Zhejiang Yuexiu Univers ty in China” by Chen Yang and Joanne C. Preston is a quasi-experimental design that determined the effectiveness of Organization Development Intervention(ODI) in developing second-year EFL students' CT skills in a private university in China. The findings reveal that collaborative learning is useful in developing the students' CT skills, while instructors need to utilize various techniques to foster team members' collaboration skills.The 10th article by Thein Than Toe and Somchai Tantasanee on "The Impact of Organizational Learning and Organizational Innovation on Organizational Performance: A Case of an Internet Service Provider in Myanmar " is a mixed method research that showed that organizational innovation has greater impact on organizational performance than organizational learning;organizational learning impacts organizational innovation . The qualitative findings implied that the organization chosen for the research must take on initiatives to promote organizational learning and innovation .The contributions of our authors to this issue are valuable for knowledge sharing of their research on various disciplines and methodologies. We hope that their research will be beneficial to our readers and as support in furthering future related research .

Changes in Tropospheric Nitrogen Dioxide Vertical Column Densities over Japan and Korea during the COVID-19 Using Pandora and MAX-DOAS

We investigated the impact of human activity during COVID-19 on the tropospheric nitrogen dioxide vertical column density (NO2 TropVCD) at three urban sites (Gwangju and Busan in Korea and Yokosuka in Japan) and one remote site (Cape Hedo in Japan) from Multi-Axis Differential Optical Absorption Spectroscopy (MAX-DOAS) and Pandora. Compared to the monthly mean NO2 TropVCD from 2015 to 2018 and in 2019, the values were lower in 2020 due to social distancing in Korea and Japan. High negative relative changes were observed from May to September (-30% to -18%) at the three urban sites;Cape Hedo, a remote site, did not show a significant difference in relative changes between previous years and 2020, suggesting that only anthropogenic emission sources decreased dramatically. In the case of Yokosuka, the 15-day moving average of the NO2 TropVCD exhibited a good relationship with transportation (R = 0.48) and industry (R = 0.54) mobility data. In contrast, the NO2 TropVCD at the Korean sites showed a moderate to low correlation with the industrial sector and insignificant correlations with transportation. The differences in correlations might be caused by the different social distancing policies in Korea (voluntary) and Japan (mandatory). By applying generalized boosted models to exclude meteorological and seasonal effects associated with NO2 TropVCD variations, we revealed that the decreasing trend from 2019 to 2020 was much steeper than that from 2015 to 2020 (a factor of two), and a significant change was identified in January 2020, when the first cases of COVID-19 were observed in both Korea and Japan. This result confirmed that the reduction in NO2 can be largely explained by the NOx emission reduction resulting from social distancing for COVID-19 rather than annual meteorological differences;however, in December 2020, NO2 recovered suddenly to its previous level due to an increase in human activities.

Impact of Covid Pandemic on OTT Streaming Services

Starting from Cable connections to various options in satellite TV brands, the transition paved the way gradually for free content on applications like YouTube, which further led to the demand for quality content on OTT platforms. Over-the- Top or OTT is the abbreviation for "over-the-top” which is a new age streaming of films and TV series over the web without the need for traditional cable, or satellite pay-TV providers;the consumers can stream across multiple gadgets according to our time convenience. Beginning in the late 90s, the early 2000s marked the era of Television streaming in India. The first OTT application launched in India was BigFix, which changed the course of content consumption in our country. The Television industry once driven by cable and satellite operators has transitioned into a consumer-driven domain. Unlike TV, which requires a cable connection or an antenna, OTT material is delivered directly over Online platforms and paid for directly by viewers. The implications are that the consumers may get OTT services including video, voice, messaging and audio services, at any time and from any location, which serves to be a significant advantage over traditional TV programming. In this paper, we focus on how this paradigm change took place and what impact it has created, especially since the pandemic. © 2023 IEEE.

Sentinel satellite data monitoring of air pollutants with interpolation methods in Guayaquil, Ecuador

In Ecuador, there is a limitation on air quality monitoring due to the cost of monitoring networks. Although air quality monitoring stations are instruments for air measurement, they do not cover an entire city due to their scope. Satellite remote sensing is now an effective tool to study atmospheric pollutants and has been applied to continuously assess a region and overcome the limitations of fixed stations. Despite the application of satellite data for air quality monitoring, there are some limitations, such as measurement frequency, cloud cover and wide spatial resolution, which do not allow the assessment of air pollution in cities. Therefore, downscaling, applying interpolation methods, is essential for continuous air quality monitoring at smaller scales. For this research, Nitrogen Dioxide (NO2) data from the Sentinel-5 satellite percussor was used in the city of Guayaquil for January–December 2020, which is considered before, during and after the COVID-19 quarantine. This mid-size port city does not have a permanent monitoring network, which prevents us from knowing the air quality. Due to the limitation of pixel size, this study used satellite data to apply interpolation techniques and reduce pixels to assess air quality. Two categories of interpolation were selected: deterministic and stochastic. The empirical Bayesian kriging (EBK) interpolation obtained a R2 of 0.9546, which was superior to the other methods applied. Therefore, the EBK method had the best accuracy for tropospheric NO2 concentration. Finally, the method used in this research can help monitor air quality in cities lacking continuous monitoring networks, as the reduction of the pixel size gives us a better pattern of pollutants.

Study the change in air pollution after the COVID-19 outbreak in Thailand

In Thailand, the outbreak of COVID-19 occurred, resulting in a lifestyle change, which could affect the sources of air pollution. This study aims to examine the trend of air pollution changes during COVID-19 in Thailand by air quality measurement data from the ground and satellites, as well as the effect of the traffic volume. From the results, during the normal period, CO, NO2, SO2, PM10 and PM2.5 from the ground station tended to be consistently high (+6.58–56.60%), while satellite data showed that only CO, NO2 and SO2 were likely to be higher (+1.20–29.29%). When entering the first lockdown period, the ground data began to tend to decrease, including NO2 (-10.22%). For the satellite values, there was a similar downward trend, except for the AOD and O3 (+0.94 and +0.79%). For the ‘new normal' period, all parameters of ground data tended to be consistently lower, as well as that of satellites. Furthermore, as a result of the traffic volume that affected the change in air pollutants, during the first lockdown, CO, NO2, PM10 and PM2.5, tended to decrease in line with the decrease in traffic. However, during the COVID-19 crisis, it was still found that air pollution remained high, because of the summer (March–May) and from the activities on weekdays. Also, in the correlation of ground and satellite measurements, it was found that the only high correlations in the data were the NO2 data (r = 0.74), and the correlations were not high for PM2.5 (r = 0.54), PM10 (r = 0.45), SO2 (r = 0.30), or CO (r = 0.12), and the lowest was O3 (r =-0.40). The values from both stations were different, because there may be other factors involved. The relevant information on dependent variables and variables affecting the measurements should also be included to make the forecast more accurate. © 2023, Paulus Editora. All rights reserved.

The Energy Sector Amid an Industry 4.0: Issues of Information Support Transformation

The article is focused on the issue of providing information for the energy sector in the modern economy. The purpose of the article is to summarize ways of collecting and analyzing primary data in the energy sector in order to complete the methodology harmonization in accordance with international standards. The methodological basis of the study is the theory of input-output tables, the concept of Industry 4.0, the basic provisions of national accounts;and the methods used by the authors are balance comparisons, economic and structural analysis, as well as methods of peer review. Input data sources for each level of information support have been systematized. The characteristic of the system of indicators and the model for constructing energy balances are generalized, within whose framework the analysis of the production and use of energy resources is carried out taking into account the new opportunities of Industry 4.0. Methodological improvement of the official questionnaires of enterprises, the integration of administrative and alternative sources, their harmonization with regional and departmental data will enhance the information support of fuel and energy balances at various levels. The paper finds out that the final harmonization of the energy statistics system in accordance with the recommendations of international organizations will improve it amid Industry 4.0. The integration of accounting, statistical and tax reporting and the construction of satellite accounts taking into consideration negative environmental trends will promote completing the national methodology transformation. Since, in a market economy, the fuel and energy balance often reveals a mismatch between the social demand for energy and its supply, its social focus can be adjusted by government regulation. The present analytical potential of the FEB forecasts revealed by the authors contribute to improving the economy's energy efficiency and reducing the energy intensity of GDP, overcoming global crises, especially in the context of the Covid-19, further sustainable development of the economy and social sphere of Russia. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.

Impact of Disruption on Ship Emissions in Port: Case of Pandemic in Long Beach

To achieve environmental sustainability on ships, stakeholders should make efforts to reduce emissions. Port authorities are crucial to attain this goal by introducing new policies. This study takes the Port of Long Beach as an example to assess port-wide ship emissions and explain the significance of shore power policy. Additionally, the study considers the impact of disruptions, such as the COVID pandemic, on ship emissions. The analysis compares data from three years before and after the pandemic to examine the relationship between ship waiting times, quantities, and emissions. The findings indicate that the majority of port-wide ship emissions are generated by berthing or anchoring vessels, from ship auxiliary engines and boilers. Furthermore, ship congestion due to reduced port productivity during the pandemic significantly increased emissions from berthing and anchoring vessels, with the emission proportion increasing from 68% to 86%. Adopting the shore power policy has effectively reduced ship emissions in port areas, and increasing the number of ships utilising shore power will be instrumental in tackling excessive ship emissions.

Spatial variability of trace gases (NO2, O3 and CO) over Indian region during 2020 and 2021 COVID-19 lockdowns.

COVID-19 lockdown has given us an opportunity to investigate the pollutant concentrations in response to the restricted anthropogenic activities. The atmospheric concentration levels of nitrogen dioxide (NO2), carbon monoxide (CO) and ozone (O3) have been analysed for the periods during the first wave of COVID-19 lockdown in 2020 (25th March-31st May 2020) and during the partial lockdowns due to second wave in 2021 (25th March-15th June 2021) across India. The trace gas measurements from Ozone Monitoring Instrument (OMI) and Atmosphere InfraRed Sounder (AIRS) satellites have been used. An overall decrease in the concentration of O3 (5-10%) and NO2 (20-40%) have been observed during the 2020 lockdown when compared with business as usual (BAU) period in 2019, 2018 and 2017. However, the CO concentration increased up to 10-25% especially in the central-west region. O3 and NO2 slightly increased or had no change in 2021 lockdown when compared with the BAU period, but CO showed a mixed variation prominently influenced by the biomass burning/forest fire activities. The changes in trace gas levels during 2020 lockdown have been predominantly due to the reduction in the anthropogenic activities, whereas in 2021, the changes have been mostly due to natural factors like meteorology and long-range transport, as the emission levels have been similar to that of BAU. Later phases of 2021 lockdown saw the dominant effect of rainfall events resulting in washout of pollutants. This study reveals that partial or local lockdowns have very less impact on reducing pollution levels on a regional scale as natural factors like atmospheric long-range transport and meteorology play deciding roles on their concentration levels.

An investigation of PM2.5 concentration changes in Mid-Eastern China before and after COVID-19 outbreak.

With the Chinese government revising ambient air quality standards and strengthening the monitoring and management of pollutants such as PM2.5, the concentrations of air pollutants in China have gradually decreased in recent years. Meanwhile, the strong control measures taken by the Chinese government in the face of COVID-19 in 2020 have an extremely profound impact on the reduction of pollutants in China. Therefore, investigations of pollutant concentration changes in China before and after COVID-19 outbreak are very necessary and concerning, but the number of monitoring stations is very limited, making it difficult to conduct a high spatial density investigation. In this study, we construct a modern deep learning model based on multi-source data, which includes remotely sensed AOD data products, other reanalysis element data, and ground monitoring station data. Combining satellite remote sensing techniques, we finally realize a high spital density PM2.5 concentration change investigation method, and analyze the seasonal and annual, the spatial and temporal characteristics of PM2.5 concentrations in Mid-Eastern China from 2016 to 2021 and the impact of epidemic closure and control measures on regional and provincial PM2.5 concentrations. We find that PM2.5 concentrations in Mid-Eastern China during these years is mainly characterized by "north-south superiority and central inferiority", seasonal differences are evident, with the highest in winter, the second highest in autumn and the lowest in summer, and a gradual decrease in overall concentration during the year. According to our experimental results, the annual average PM2.5 concentration decreases by 3.07 % in 2020, and decreases by 24.53 % during the shutdown period, which is probably caused by China's epidemic control measures. At the same time, some provinces with a large share of secondary industry see PM2.5 concentrations drop by more than 30 %. By 2021, PM2.5 concentrations rebound slightly, rising by 10 % in most provinces.

Small area population denominators for improved disease surveillance and response.

The Covid-19 pandemic has highlighted the value of strong surveillance systems in supporting our abilities to respond rapidly and effectively in mitigating the impacts of infectious diseases. A cornerstone of such systems is basic subnational scale data on populations and their demographics, which enable the scale of outbreaks to be assessed, risk to specific groups to be determined and appropriate interventions to be designed. Ongoing weaknesses and gaps in such data have however been highlighted by the pandemic. These can include outdated or inaccurate census data and a lack of administrative and registry systems to update numbers, particularly in low and middle income settings. Efforts to design and implement globally consistent geospatial modelling methods for the production of small area demographic data that can be flexibly integrated into health-focussed surveillance and information systems have been made, but these often remain based on outdated population data or uncertain projections. In recent years, efforts have been made to capitalise on advances in computing power, satellite imagery and new forms of digital data to construct methods for estimating small area population distributions across national and regional scales in the absence of full enumeration. These are starting to be used to complement more traditional data collection approaches, especially in the delivery of health interventions, but barriers remain to their widespread adoption and use in disease surveillance and response. Here an overview of these approaches is presented, together with discussion of future directions and needs.

Telemedicine: A Survey of Telecommunication Technologies, Developments, and Challenges

The emergence of the COVID-19 pandemic has increased research outputs in telemedicine over the last couple of years. One solution to the COVID-19 pandemic as revealed in literature is to leverage telemedicine for accessing health care remotely. In this survey paper, we review several articles on eHealth and Telemedicine with emphasis on the articles' focus area, including wireless technologies and architectures in eHealth, communications protocols, Quality of Service, and Experience Standards, among other considerations. In addition, we provide an overview of telemedicine for new readers. This survey reviews several telecommunications technologies currently being proposed along with their standards and challenges. In general, an encompassing survey on the developments in telemedicine technology, standards, and protocols is presented while acquainting researchers with several open issues. Special mention of the state-of-the-art specialist application areas are presented. We conclude the survey paper by presenting important research challenges and potential future directions as they pertain to telemedicine technology.

Improving Short-Term QPF Using Geostationary Satellite All-Sky Infrared Radiances: Real-Time Ensemble Data Assimilation and Forecast during the PRECIP 2020 and 2021 Experiments

The Prediction of Rainfall Extremes Campaign In the Pacific (PRECIP) aims to improve our understanding of extreme rainfall processes in the East Asian summer monsoon. A convection-permitting ensemble-based data assimilation and forecast system (the PSU WRF-EnKF system) was run in real time in the summers of 2020–21 in advance of the 2022 field campaign, assimilating all-sky infrared (IR) radiances from the geostationary Himawari-8 and GOES-16 satellites, and providing 48-h ensemble forecasts every day for weather briefings and discussions. This is the first time that all-sky IR data assimilation has been performed in a real-time forecast system at a convection-permitting resolution for several seasons. Compared with retrospective forecasts that exclude all-sky IR radiances, rainfall predictions are statistically significantly improved out to at least 4–6 h for the real-time forecasts, which is comparable to the time scale of improvements gained from assimilating observations from the dense ground-based Doppler weather radars. The assimilation of all-sky IR radiances also reduced the forecast errors of large-scale environments and helped to maintain a more reasonable ensemble spread compared with the counterpart experiments that did not assimilate all-sky IR radiances. The results indicate strong potential for improving routine short-term quantitative precipitation forecasts using these high-spatiotemporal-resolution satellite observations in the future.Significance StatementDuring the summers of 2020/21, the PSU WRF-EnKF data assimilation and forecast system was run in real time in advance of the 2022 Prediction of Rainfall Extremes Campaign In the Pacific (PRECIP), assimilating all-sky (clear-sky and cloudy) infrared radiances from geostationary satellites into a numerical weather prediction model and providing ensemble forecasts. This study presents the first-of-its-kind systematic evaluation of the impacts of assimilating all-sky infrared radiances on short-term qualitative precipitation forecasts using multiyear, multiregion, real-time ensemble forecasts. Results suggest that rainfall forecasts are improved out to at least 4–6 h with the assimilation of all-sky infrared radiances, comparable to the influence of assimilating radar observations, with benefits in forecasting large-scale environments and representing atmospheric uncertainties as well.

"To our health!” Perceived benefits offset privacy concerns in using national contact-tracing apps

PurposeCommunity health is placed under the limelight during the COVID-19 crisis, providing a unique context for investigating citizens' health-privacy tradeoff in accepting social surveillance technology. To elucidate this tradeoff dilemma, an extended privacy calculus framework integrated with the Health Belief Model, legislative protection, and individual collectivism was examined using the case of national contact-tracing apps.Design/methodology/approachThe hypotheses were tested through PLS-SEM analysis with data collected from a survey on Bluezone – a national app in Vietnam.FindingsThe results indicated the negative impact of privacy concerns, which was offset by the positive effect of perceived benefits in using contact-tracing apps. The effect size of perceived benefits on usage frequency was twice as large as that of privacy concerns. Individual collectivism was revealed as a mitigator of the tradeoff dilemma, as it was positively associated with perceived benefits, whereas legislative protection had no such role. Citizens may perceive legislation protection as invalid when the technologies are developed, implemented, and monitored by the authorities.Originality/valueThe theoretical contributions lie in the extension of the privacy calculus model as well as its application in the context of mobile health apps and surveillance technology. The study empirically corroborated that the privacy calculus theory holds when technologies move along the pervasiveness spectrum. This study also provided actionable insights for policymakers and developers who advocate the mass acceptance of national contact-tracing apps.

Methane emissions are predominantly responsible for record-breaking atmospheric methane growth rates in 2020 and 2021

The global atmospheric methane growth rates reported by NOAA for 2020 and 2021 are the largest since systematic measurements began in 1983. To explore the underlying reasons for these anomalous growth rates, we use newly available methane data from the Japanese Greenhouse gases Observing SATellite (GOSAT) to estimate methane surface emissions. Relative to baseline values in 2019, we find that a significant global increase in methane emissions of 27.0 ± 11.3 and 20.8 ± 11.4 Tg is needed to reproduce observed atmospheric methane in 2020 and 2021, respectively, assuming fixed climatological values for OH. We see the largest annual increases in methane emissions during 2020 over Eastern Africa (14 ± 3 Tg), tropical Asia (3 ± 4 Tg), tropical South America (5 ± 4 Tg), and temperate Eurasia (3 ± 3 Tg), and the largest reductions are observed over China (-6 ± 3 Tg) and India (-2 ± 3 Tg). We find comparable emission changes in 2021, relative to 2019, except for tropical and temperate South America where emissions increased by 9 ± 4 and 4 ± 3 Tg, respectively, and for temperate North America where emissions increased by 5 ± 2 Tg. The elevated contributions we saw in 2020 over the western half of Africa (-5 ± 3 Tg) are substantially reduced in 2021, compared to our 2019 baseline. We find statistically significant positive correlations between anomalies of tropical methane emissions and groundwater, consistent with recent studies that have highlighted a growing role for microbial sources over the tropics. Emission reductions over India and China are expected in 2020 due to the Covid-19 lockdown but continued in 2021, which we do not currently understand. To investigate the role of reduced OH concentrations during the Covid-19 lockdown in 2020 on the elevated atmospheric methane growth in 2020–2021, we extended our inversion state vector to include monthly scaling factors for OH concentrations over six latitude bands. During 2020, we find that tropospheric OH is reduced by 1.4 ± 1.7 % relative to the corresponding 2019 baseline value. The corresponding revised global growth of a posteriori methane emissions in 2020 decreased by 34 % to 17.9 ± 13.2 Tg, relative to the a posteriori value that we inferred using fixed climatological OH values, consistent with sensitivity tests using the OH climatology inversion using reduced values for OH. The counter statement is that 66 % of the global increase in atmospheric methane during 2020 was due to increased emissions, particularly from tropical regions. Regional flux differences between the joint methane–OH inversion and the OH climatology inversion in 2020 are typically much smaller than 10 %. We find that OH is reduced by a much smaller amount during 2021 than in 2020, representing about 10 % of the growth of atmospheric methane in that year. Therefore, we conclude that most of the observed increase in atmospheric methane during 2020 and 2021 is due to increased emissions, with a significant contribution from reduced levels of OH.