A Study of the Characteristics and Assimilation of Retrieved MODIS Total Precipitable Water Data in Severe Weather Simulations

2008 ◽  
Vol 136 (9) ◽  
pp. 3608-3628 ◽  
Author(s):  
Shu-Hua Chen ◽  
Zhan Zhao ◽  
Jennifer S. Haase ◽  
Aidong Chen ◽  
Francois Vandenberghe

Abstract This study determined the accuracy and biases associated with retrieved Moderate Resolution Imaging Spectroradiometer (MODIS) total precipitable water (TPW) data, and it investigated the impact of these data on severe weather simulations using the Weather Research and Forecast (WRF) model. Comparisons of MODIS TPW with the global positioning system (GPS) TPW and radiosonde-derived TPW were carried out. The comparison with GPS TPW over the United States showed that the root-mean-square (RMS) differences between these two datasets were about 5.2 and 3.3 mm for infrared (IR) and near-infrared (nIR) TPW, respectively. MODIS IR TPW data were overestimated in a dry atmosphere but underestimated in a moist atmosphere, whereas the nIR values were slightly underestimated in a dry atmosphere but overestimated in a moist atmosphere. Two cases, a severe thunderstorm system (2004) over land and Hurricane Isidore (2002) over ocean, as well as conventional observations and Special Sensor Microwave Imager (SSM/I) retrievals were used to assess the impact of MODIS nIR TPW data on severe weather simulations. The assimilation of MODIS data has a slightly positive impact on the simulated rainfall over Oklahoma for the thunderstorm case, and it was able to enhance Isidore’s intensity when the storm track was reasonably simulated. The use of original and bias-corrected MODIS nIR TPW did not show significant differences from both case studies. In addition, SSM/I data were found to have a positive impact on both severe weather simulations, and the impact was comparable to or slightly better than that of MODIS data.

2018 ◽  
Author(s):  
Witold Rohm ◽  
Jakub Guzikowski ◽  
Karina Wilgan ◽  
Maciej Kryza

Abstract. The GNSS data assimilation is currently widely discussed in the literature with respect to the various applications in meteorology and numerical weather models. Data assimilation combines atmospheric measurements with knowledge of atmospheric behavior as codified in computer models. With this approach, the best estimate of current conditions consistent with both information sources is produced. Some approaches allow assimilating also the non-prognostic variables, including remote sensing data from radar or GNSS (Global Navigation Satellite System). These techniques are named variational data assimilation schemes and are based on a minimization of the cost function, which contains the differences between the model state (background) and the observations. This paper shows the results of assimilation of GNSS data into numerical weather prediction (NWP) model WRF (Weather Research and Forecasting). The WRF model offers two different variational approaches: 3DVAR and 4DVAR, both available through WRF Data Assimilation (WRFDA) package. The WRFDA assimilation procedure was modified to correct for bias and observation errors. We assimilated the Zenith Troposphere Delay (ZTD), Precipitable Water (PW), radiosonde (RS) and surface synoptic observations (SYNOP) using 4DVAR assimilation scheme. Three experiments have been performed: (1) assimilation of PW and ZTD for May and June of 2013, (2) assimilation of: PW alone; PW, with RS and SYNOP; ZTD alone; and finally ZTD, with RS and SYNOP for 5–23 May 2013, and (3) assimilation of PW or ZTD during severe weather events in June 2013. Once the initial conditions were established, the forecast was run for 48 hours. The obtained WRF predictions are validated against surface meteorological measurements, including air temperature, humidity, wind speed, and rainfall rate. Results from the first experiment (May and June 2013) show that the assimilation of GNSS data (both ZTD and PW) have positive impact on the rain and humidity forecast. However, the assimilation of ZTD is more successful, and brings substantial reduction of errors in rain forecast by 8 %, and a 20 % improvement in bias of humidity forecast, but it has a slight negative impact on temperature bias and wind speed. Second experiment (5–23 May 2013) reveals that the PW or ZTD assimilation leads to a similar reduction of errors as in the first experiment, moreover, adding SYNOP and RS observations to the assimilation does not improve the humidity or rain forecasts (in the 48 h forecast) but reduces errors in the wind speed and temperature. Furthermore, short term predictions (up to 24 h) of rain and humidity are better when SYNOP and RS observations are assimilated. The impact of assimilation of ZTD and PW in severe weather cases is mixed, one out of three investigated cases shows positive impact of GNSS data, whereas other two neutral or negative.


Vaccines ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 444
Author(s):  
Charles Stoecker

In the past two decades, most states in the United States have added authorization for pharmacists to administer some vaccinations. Expansions of this authority have also come with prescription requirements or other regulatory burdens. The objective of this study was to evaluate the impact of these expansions on influenza immunization rates in adults age 65 and over. A panel data, differences-in-differences regression framework to control for state-level unobserved confounders and shocks at the national level was used on a combination of a dataset of state-level statute and regulatory changes and influenza immunization data from the Behavioral Risk Factor Surveillance System. Giving pharmacists permission to vaccinate had a positive impact on adult influenza immunization rates of 1.4 percentage points for adults age 65 and over. This effect was diminished by the presence of laws requiring pharmacists to obtain patient-specific prescriptions. There was no evidence that allowing pharmacists to administer vaccinations led patients to have fewer annual check-ups with physicians or not have a usual source of health care. Expanding pharmacists’ scope of practice laws to include administering the influenza vaccine had a positive impact on influenza shot uptake. This may have implications for relaxing restrictions on other forms of care that could be provided by pharmacists.


2014 ◽  
Vol 41 (1) ◽  
pp. 60-75
Author(s):  
Tomasz M. Napiórkowski

Abstract The aim of this research is to asses the hypothesis that foreign direct investment (FDI) and international trade have had a positive impact on innovation in one of the most significant economies in the world, the United States (U.S.). To do so, the author used annual data from 1995 to 2010 to build a set of econometric models. In each model, 11 in total) the number of patent applications by U.S. residents is regressed on inward FDI stock, exports and imports of the economy as a collective, and in each of the 10 SITC groups separately. Although the topic of FDI is widely covered in the literature, there are still disagreements when it comes to the impact of foreign direct investment on the host economy [McGrattan, 2011]. To partially address this gap, this research approaches the host economy not only as an aggregate, but also as a sum of its components (i.e., SITC groups), which to the knowledge of this author has not yet been done on the innovation-FDI-trade plane, especially for the U.S. Unfortunately, the study suffers from the lack of available data. For example, the number of patents and other used variables is reported in the aggregate and not for each SITC groups (e.g., trade). As a result, our conclusions regarding exports and imports in a specific SITC category (and the total) impact innovation in the U.S. is reported in the aggregate. General notions found in the literature are first shown and discussed. Second, the dynamics of innovation, trade and inward FDI stock in the U.S. are presented. Third, the main portion of the work, i.e. the econometric study, takes place, leading to several policy applications and conclusions.


Author(s):  
Rebecca Henderson ◽  
Melanie Gross Hagen ◽  
Zareen Zaidi ◽  
Valentina Dunder ◽  
Edlira Maska ◽  
...  

Purpose: We aimed to study the impact of a combined faculty-student book club on education and medical practice as a part of the informal curriculum at the University of Florida College of Medicine in the United States.Methods: Sixteen medical students and 7 faculties who participated in the book club were interviewed through phone and recorded. The interview was then transcribed and entered into the qualitative data analysis program QSR NVivo (QSR International, Burlington, MA, USA). The transcripts were reviewed, and thematic codes were developed inductively through collaborative iteration. Based on these preliminary codes, a coding dictionary was developed and applied to all interviews within QSR Nvivo to identify themes.Results: Four main themes were identified from interviews: The first theme, the importance of literature to the development and maintenance of empathy and perspective-taking, and the second theme, the importance of the book club in promoting mentorship, personal relationships and professional development, were important to both student and faculty participants. The third and fourth themes, the need for the book club as a tool for self-care and the book club serving as a reminder about the world outside of school were discussed by student book club members.Conclusion: Our study demonstrated that an informal book club has a significant positive impact on self-care, perspective-taking, empathy, and developing a “world outside of school” for medical school students and faculty in the United States. It also helps to foster meaningful relationships between students and faculty.


2015 ◽  
Vol 30 (1) ◽  
pp. 207-230
Author(s):  
Kim Eun Yi

This study examines how the use of different types of social media, such as Facebook and Twitter, affects public participation, drawing on the theory of motivation, which addresses the effect of internal and external political efficacy as well as the perceived political importance of social media. The study also investigates the interaction effect between social media use and perceived the political importance of social media on public participation. Employing a comparative perspective on an issue that has not been well studied, the study further seeks to discover potential variations in the impacts of different social media on public participation in the United States and Korea, both of which held presidential elections at the end of 2012. This study conducted hierarchical multiple regression analyses using data collected from college students in the United States and Korea. It shows the positive impact of social media use and its interaction effect with the perceived political importance of social media on the offline and online public participation of youth. The political motivational factor is found to be critical to driving public participation. This study also shows that the impact of Facebook use is more influential than Twitter use on public participation in the United States, whereas the opposite pattern is observed in Korea.


2018 ◽  
Vol 49 (4) ◽  
pp. 441-453
Author(s):  
Obed Pasha ◽  
Theodore H. Poister

Performance management is an established concept in the public sector, with several empirical studies supporting its beneficial impact on organizational performance. Research on performance management, however, is still in initial stages and mostly examines the impact of this practice under stable environmental conditions. This study adds to the literature by analyzing the effect of this system on performance of local transit agencies in a turbulent environment characterized by the Great Recession and its aftermath. Exploratory factor analysis (EFA) on survey responses from 162 local transit agencies in the United States is used to extract the four components of performance management, namely, formal strategic planning, logical incrementalism, performance measurement, and performance information use. Ordinary least squares (OLS) regression analysis shows that an independent use of formal strategic planning and logical incrementalism has a negative impact on organizational performance under turbulence. Performance measurement and a blend of formal strategic planning and logical incrementalism, however, show a positive impact.


2017 ◽  
Vol 81 (6) ◽  
pp. 1-23 ◽  
Author(s):  
Kartik Kalaignanam ◽  
Tarun Kushwaha ◽  
Tracey A. Swartz

This article examines the impact of new product development (NPD) “make/buy” choices on product quality using data from the automobile industry. Although the business press has lamented that NPD outsourcing compromises product quality, there is no systematic evidence to support or refute this assertion. Against this backdrop, this study tests a contingency model of the impact of NPD make/buy decisions on immediate and future product quality. The hypotheses are tested using data on NPD make/buy choices of 173 models of 12 automobile firms in the United States between 2007 and 2014. The authors find that whereas NPD buy has a more positive impact on immediate product quality, NPD make has a more positive impact on future product quality. Furthermore, the immediate product quality impact of NPD buy is stronger when (1) technologies are more complex and (2) firm NPD capability is higher. In contrast, the future product quality impact of NPD make is stronger when (1) there is postlaunch adverse feedback and (2) firm NPD capability is higher. The study highlights the complex trade-offs associated with NPD make/buy decisions and offers valuable insights on how firms could manage these decisions.


2016 ◽  
Vol 144 (10) ◽  
pp. 3799-3823 ◽  
Author(s):  
Glen S. Romine ◽  
Craig S. Schwartz ◽  
Ryan D. Torn ◽  
Morris L. Weisman

Over the central Great Plains, mid- to upper-tropospheric weather disturbances often modulate severe storm development. These disturbances frequently pass over the Intermountain West region of the United States during the early morning hours preceding severe weather events. This region has fewer in situ observations of the atmospheric state compared with most other areas of the United States, contributing toward greater uncertainty in forecast initial conditions. Assimilation of supplemental observations is hypothesized to reduce initial condition uncertainty and improve forecasts of high-impact weather. During the spring of 2013, the Mesoscale Predictability Experiment (MPEX) leveraged ensemble-based targeting methods to key in on regions where enhanced observations might reduce mesoscale forecast uncertainty. Observations were obtained with dropsondes released from the NSF/NCAR Gulfstream-V aircraft during the early morning hours preceding 15 severe weather events over areas upstream from anticipated convection. Retrospective data-denial experiments are conducted to evaluate the value of dropsonde observations in improving convection-permitting ensemble forecasts. Results show considerable variation in forecast performance from assimilating dropsonde observations, with a modest but statistically significant improvement, akin to prior targeted observation studies that focused on synoptic-scale prediction. The change in forecast skill with dropsonde information was not sensitive to the skill of the control forecast. Events with large positive impact sampled both the disturbance and adjacent flow, akin to results from past synoptic-scale targeting studies, suggesting that sampling both the disturbance and adjacent flow is necessary regardless of the horizontal scale of the feature of interest.


2020 ◽  
Author(s):  
Tetiana Tokhtamysh ◽  
◽  
Oleksandr Yaholnytskyi ◽  
Kateryna Hranko ◽  
◽  
...  

The article looks over the degree of implementation of FinTech services in the world. It’s determined that the leading countries in the implementation of FinTech are China, India, and South Africa. Crucial influencing factor is demographic, rather than the widespread demand among the population for modern technology. The penetration rate of these services in the United States, where the largest technology companies in the world are located, was only 46%. The share of service users among the population that actively use digital technologies reaches 33%. Noted that the objects of investment of American banks are startups, programming applications of open interfaces and platforms for third-party developers. European banks also aim to invest actively in the development of FinTech but are still more focus on their own development. It is determined that Asian, Australian and African banks tend to develop technological solutions on their own. According to experts, the number of partnership agreements in the world with FinTech companies will increase each year. The analysis of the regional structure of global investments in FinTech carried out. It showed a positive dynamics of investment during 2014–2019. Increasing the size of global investments is due to the interest of investors in new projects and business models. Venture capital investment priorities coincide with global ones and are related to reviewing, updating, and improving business processes. The amount of venture capital invested in FinTech projects stimulates the development of the financial industry, mainly in China, the United States, the United Kingdom, and Ireland. They account for almost 9 times more investment in FinTech than in other countries. Correlation-regression analysis was applied to investigate the relationship between the level of development of the FinTech market and foreign direct investments. According to the results of calculations, the largest impact on foreign direct investment has the volume of venture investment in FinTech-projects and the FinTech market development rating. This proves the positive impact of FinTech companies on the growth of foreign investments in the country.


Demography ◽  
2021 ◽  
Author(s):  
Lawrence M. Berger ◽  
Lidia Panico ◽  
Anne Solaz

Abstract Proponents of early childhood education and care programs cite evidence that high-quality center-based childcare has positive impacts on child development, particularly for disadvantaged children. However, much of this evidence stems from randomized evaluations of small-scale intensive programs based in the United States and other Anglo/English-speaking countries. Evidence is more mixed with respect to widespread or universal center-based childcare provision. In addition, most evidence is based on childcare experiences of 3- to 5-year-old children; less is known about the impact of center-based care in earlier childhood. The French context is particularly suited to such interrogation because the majority of French children who attend center-based care do so in high-quality, state-funded, state-regulated centers, known as crèches, and before age 3. We use data from a large, nationally representative French birth cohort, the Étude Longitudinale Français depuis l'Enfance (Elfe), and an instrumental variables strategy that leverages exogenous variation in both birth quarter and local crèche supply to estimate whether crèche attendance at age 1 has an impact on language, motor skills, and child behavior at age 2. Results indicate that crèche attendance has a positive impact on language skills, no impact on motor skills, and a negative impact on behavior. Moreover, the positive impact on language skills is particularly concentrated among disadvantaged children. This implies that facilitating increased crèche access among disadvantaged families may hold potential for decreasing early socioeconomic disparities in language development and, given the importance of early development for later-life outcomes, thereby have an impact on long-term population inequalities.


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