scholarly journals Validation of OMI Total Column Water Vapor Product

2016 ◽  
Author(s):  
Huiqun Wang ◽  
Gonzalo Gonzalez Abad ◽  
Xiong Liu ◽  
Kelly Chance
Keyword(s):  
Water Vapor ◽  
Liquid Water ◽  
Data Center ◽  
Retrieval Algorithm ◽  
Validation Data ◽  
Wide Range ◽  
Key Factor ◽  
The Mean ◽  
Total Column

Abstract. The Collection 3 OMI Total Column Water Vapor (TCWV) data generated by the Smithsonian Astrophysical Observatory (SAO)’s algorithm Version 1.0.0 and archived at the Aura Validation Data Center (AVDC) are compared with NCAR’s ground-based GPS data, AERONET sunphotometer data and Remote Sensing System’s SSM/I data. Results show that the OMI data track the seasonal and interannual variability of TCWV for a wide range of climate regimes. During the period from 2005 to 2009, the mean (OMI – GPS) over land is −0.3 mm, the mean (OMI – AERONET) over land is 0 mm, and the mean (OMI – SSM/I) over the ocean is −4.3 mm. The better agreement over land than over the ocean is corroborated by the smaller fitting residuals over land and suggests that liquid water is a key factor for the fitting quality over the ocean in the Version 1.0.0 retrieval algorithm. We find that the influence of liquid water is reduced using a shorter retrieval window. As a result, the TCWV retrieved with the new algorithm increases significantly over the ocean and only slightly over land, improving the land/ocean consistency and the overall quality of whole OMI TCWV dataset.

scholarly journals Validation and update of OMI Total Column Water Vapor product

2016 ◽  
Vol 16 (17) ◽  
pp. 11379-11393 ◽  
Author(s):  
Huiqun Wang ◽  
Gonzalo Gonzalez Abad ◽  
Xiong Liu ◽  
Kelly Chance
Keyword(s):  
Water Vapor ◽  
Liquid Water ◽  
Retrieval Algorithm ◽  
Ozone Monitoring Instrument ◽  
Validation Data ◽  
Data Set ◽  
Wide Range ◽  
Key Factor ◽  
The Mean ◽  
Total Column

Abstract. The collection 3 Ozone Monitoring Instrument (OMI) Total Column Water Vapor (TCWV) data generated by the Smithsonian Astrophysical Observatory's (SAO) algorithm version 1.0 and archived at the Aura Validation Data Center (AVDC) are compared with NCAR's ground-based GPS data, AERONET's sun-photometer data, and Remote Sensing System's (RSS) SSMIS data. Results show that the OMI data track the seasonal and interannual variability of TCWV for a wide range of climate regimes. During the period from 2005 to 2009, the mean OMI−GPS over land is −0.3 mm and the mean OMI−AERONET over land is 0 mm. For July 2005, the mean OMI−SSMIS over the ocean is −4.3 mm. The better agreement over land than over the ocean is corroborated by the smaller fitting residuals over land and suggests that liquid water is a key factor for the fitting quality over the ocean in the version 1.0 retrieval algorithm. We find that the influence of liquid water is reduced using a shorter optimized retrieval window of 427.7–465 nm. As a result, the TCWV retrieved with the new algorithm increases significantly over the ocean and only slightly over land. We have also made several updates to the air mass factor (AMF) calculation. The updated version 2.1 retrieval algorithm improves the land/ocean consistency and the overall quality of the OMI TCWV data set. The version 2.1 OMI data largely eliminate the low bias of the version 1.0 OMI data over the ocean and are 1.5 mm higher than RSS's “clear” sky SSMIS data in July 2005. Over the ocean, the mean of version 2.1 OMI−GlobVapour is 1 mm for July 2005 and 0 mm for January 2005. Over land, the version 2.1 OMI data are about 1 mm higher than GlobVapour when TCWV  <  15 mm and about 1 mm lower when TCWV  >  15 mm.

scholarly journals Satellite and Numerical Model Investigation of Two Heavy Rain Events over the Central Mediterranean

2011 ◽  
Vol 12 (4) ◽  
pp. 634-649 ◽  
Author(s):  
Sante Laviola ◽  
Agata Moscatello ◽  
Mario Marcello Miglietta ◽  
Elsa Cattani ◽  
Vincenzo Levizzani
Keyword(s):  
Water Vapor ◽  
Numerical Model ◽  
Liquid Water ◽  
Heavy Rain ◽  
Sensor Data ◽  
Retrieval Algorithm ◽  
Central Mediterranean ◽  
Model Simulations ◽  
Wide Range ◽  
Rain Events

Abstract Two heavy rain events over the Central Mediterranean basin, which are markedly different by genesis, dimensions, duration, and intensity, are analyzed. Given the relative low frequency of this type of severe storms in the area, a synoptic analysis describing their development is included. A multispectral analysis based on geostationary multifrequency satellite images is applied to identify cloud type, hydrometeor phase, and cloud vertical extension. Precipitation intensity is retrieved from (i) surface rain gauges, (ii) satellite data, and (iii) numerical model simulations. The satellite precipitation retrieval algorithm 183-Water vapor Strong Lines (183-WSL) is used to retrieve rain rates and cloud hydrometeor type, classify stratiform and convective rainfall, and identify liquid water clouds and snow cover from the Advanced Microwave Sounding Unit-B (AMSU-B) sensor data. Rainfall intensity is also simulated with the Weather Research and Forecasting (WRF) numerical model over two nested domains with horizontal resolutions of 16 km (comparable to that of the satellite sensor AMSU-B) and 4 km. The statistical analysis of the comparison between satellite retrievals and model simulations demonstrates the skills of both methods for the identification of the main characteristics of the cloud systems with a suggested overall bias of the model toward very low rain intensities. WRF (in the version used for the experiment) seems to classify as low rain intensity regions those areas where the 183-WSL retrieves no precipitation while sensing a mixture of freshly nucleated cloud droplets and a large amount of water vapor; in these areas, especially adjacent to the rain clouds, large amounts of cloud liquid water are detected. The satellite method performs reasonably well in reproducing the wide range of gauge-detected precipitation intensities. A comparison of the 183-WSL retrievals with gauge measurements demonstrates the skills of the algorithm in discriminating between convective and stratiform precipitation using the scattering and absorption of radiation by the hydrometeors.

scholarly journals OMI Total Column Water Vapor Version 4 Validation and Applications

2019 ◽  
Author(s):  
Huiqun Wang ◽  
Amir Hossein Souri ◽  
Gonzalo Gonzalez Abad ◽  
Xiong Liu ◽  
Kelly Chance
Keyword(s):  
Water Vapor ◽  
Relative Difference ◽  
Cloud Fraction ◽  
Retrieval Algorithm ◽  
Spatial And Temporal Scales ◽  
Trade Offs ◽  
Range Check ◽  
The Mean ◽  
Cloud Top Pressure ◽  
Total Column

Abstract. Total Column Water Vapor (TCWV) is important for the weather and climate. TCWV is derived from the OMI visible spectra using the Version 4 retrieval algorithm developed at the Smithsonian Astrophysical Observatory. The algorithm uses a retrieval window between 432.0 and 466.5 nm and includes various updates. The retrieval window optimization results from the trade-offs among competing factors. The OMI product is characterized by comparing against commonly used reference datasets – GPS network data over land and SSMIS data over the oceans. We examine how cloud fraction and cloud top pressure affect the comparisons. The results lead us to recommend filtering OMI data with cloud fraction < 5–15 % and cloud top pressure > 750 mb or stricter criteria, in addition to the main data quality, fitting RMS and TCWV range check. The mean of OMI-GPS is 0.85 mm with a standard deviation (σ) of 5.2 mm. Smaller differences between OMI and GPS (0.2 mm) occur when TCWV is within 10–20 mm. The bias is much smaller than the previous version. The mean of OMI-SSMIS is 1.2–1.9 mm (σ = 6.5–6.8 mm), with better agreement for January than for July. Smaller differences between OMI and SSMIS (0.3–1.6 mm) occur when TCWV is within 10–30 mm. However, the relative difference between OMI and the reference datasets is large when TCWV is less than 10 mm. As test applications of the Version 4 OMI TCWV over a range of spatial and temporal scales, we find prominent signals of the patterns associated with El Niño and La Niña, the high humidity associated with a corn sweat event and the strong moisture band of an Atmospheric River (AR). A data assimilation experiment demonstrates that the OMI data can help improve WRF’s skill at simulating the structure and intensity of the AR and the precipitation at the AR landfall.

Hidradenitis suppurativa: Wie die Partner von Betroffenen psychosozial beeinträchtigt werden

2021 ◽  
pp. 1-3
Author(s):  
Uwe Gieler
Keyword(s):  
Disease Severity ◽  
Social Life ◽  
Hidradenitis Suppurativa ◽  
Life Quality ◽  
Psychosocial Burden ◽  
Wide Range ◽  
The Family ◽  
The Mean ◽  
Moderate Effect

<b>Background</b>: Hidradenitis suppurativa is a debilitating disease related to a great psychosocial burden in affected patients and subsequently also people around them. Patients’ partners as caregivers may indirectly experience wide range of devastating effects of the disease on their emotional and social life. <b>Objective:</b> The purpose of this study was to determine the QoL impairment in HS patients’ partners and to identify its aspects that are affected the most. Correlation between QoL burden and disease severity, duration, sex, age and smoking was also assessed. <b>Methods:</b> A total of 50 HS sufferers were assessed according to disease severity and their partners’ QoL was determined using the Family Dermatology Life Quality Index questionnaire. <b>Results:</b> The mean FDLQI for patients’ partners was 8.7 ± 6.8 points, indicating generally a moderate effect of HS on their life. Quality of partners’ life correlated significantly with disease severity but no correlation was found according to other factors. <b>Conclusion:</b> Hidradenitis suppurativa is a highly psychologically devastating disease not only for patients but also for their partners. It occurred to diminish partners’ QoL mostly by increasing daily expenditure but also other problems were often reported. Clinicians should be aware of these psychosocial implications, in order to provide optimal therapy of HS affected families by a multidisciplinary specialized management addressing both, patients and their cohabitants simultaneously.

scholarly journals Ground-based Measurements of Atmospheric Trace Gases in Beijing during the Olympic Games

Sci ◽  
2018 ◽  
Vol 1 (1) ◽  
pp. 6
Author(s):  
Jie Cheng
Keyword(s):  
Olympic Games ◽  
Trace Gases ◽  
Fourier Transform Spectrometer ◽  
Atmospheric Trace Gases ◽  
Validation Data ◽  
Solar Absorption ◽  
The Mean ◽  
The City ◽  
Total Column ◽  
The Olympic Games

A portable Fourier Transform Spectrometer (B3M-IR) is built and used to measure atmospheric trace gases in the city of Beijing during Olympic Games in 2008. A short description of the instrument is first provided in this paper. A detailed spectral analysis is then presented. The total columns of ozone (O3), carbon monoxide (CO), methane (CH4) and nitrous oxide (N2O) are retrieved from the ground-based solar absorption spectra recorded by the B3M-IR during the Olympic Games. Lacking validation data, only the retrieved total column of O3 is compared with that retrieved by MAX-DOAS, which is deployed at the same station. The mean difference between the two methods of measurement is 6.5%, demonstrating the performance and reliability of B3M-IR.

Piezoelectric bone conduction hearing implant Osia® - audiological and quality of life benefits

2021 ◽  
Vol 75 (4) ◽  
pp. 1-5
Author(s):  
Joanna Marszał ◽  
Renata Gibasiewicz ◽  
Magdalena Błaszczyk ◽  
Maria Gawlowska ◽  
Wojciech Gawęcki
Keyword(s):  
Quality Of Life ◽  
Hearing Loss ◽  
Hearing Aids ◽  
Bone Conduction ◽  
Speech Understanding ◽  
Mixed Hearing Loss ◽  
Wide Range ◽  
The Mean ◽  
Bone Conduction Hearing

Introduction: Nowadays, there are many options to treat hearing-impaired patients: tympanoplastic surgery, hearing aids and a wide range of implantable devices. Objective: The aim of this study is to present the mid-term audiological and quality of life benefits after the implantation of the Osia®, a new active piezoelectric bone conduction hearing implant. Material and methods: The state of the tissues in implanted area, as well as audiological and quality of life results were analyzed six, nine and twelve months after implantation in a group of four adult patients with bilateral mixed hearing loss. Results: In all the cases, no postoperative complications were found. One year after surgery the mean audiological gain in FF PTA4 (pure tone average for 0.5, 1, 2, and 4 kHz) was 52.2±3.5 dB in comparison to the unaided situation, the mean speech understanding with Osia® in quiet was 90±8.2% for 50dB SPL, 98.8±2.5% for 65dB SPL and 100±0% for 80dB SPL, and mean speech understanding with Osia® in noise was 37.5%±23.6 for 50dB SPL, 93.8±4.8% for 65dB SPL and 98.8±2.5% for 80dB SPL. There was also an evident improvement in the quality of hearing as well as in the quality of life, measured by the APHAB (Abbreviated Profile of Hearing Aid Benefit) and the SSQ (Speech, Spatial and Qualities of Hearing Scale). Conclusions: The Osia® is an effective treatment option for patients with bilateral mixed hearing loss. The mid-term audiological and quality of life results are excellent, but further observations including bigger groups of patients and a longer follow-up are required.

scholarly journals AerGOM, an improved algorithm for stratospheric aerosol extinction retrieval from GOMOS observations – Part 2: Intercomparisons

2016 ◽  
Vol 9 (9) ◽  
pp. 4701-4718 ◽  
Author(s):  
Charles Étienne Robert ◽  
Christine Bingen ◽  
Filip Vanhellemont ◽  
Nina Mateshvili ◽  
Emmanuel Dekemper ◽  
...  
Keyword(s):  
Zenith Angle ◽  
Solar Zenith Angle ◽  
Stratospheric Aerosol ◽  
Cirrus Clouds ◽  
Apparent Temperature ◽  
Retrieval Algorithm ◽  
Aerosol Extinction ◽  
Extinction Coefficients ◽  
Wide Range

Abstract. AerGOM is a retrieval algorithm developed for the GOMOS instrument onboard Envisat as an alternative to the operational retrieval (IPF). AerGOM enhances the quality of the stratospheric aerosol extinction retrieval due to the extension of the spectral range used, refines the aerosol spectral parameterization, the simultaneous inversion of all atmospheric species as well as an improvement of the Rayleigh scattering correction. The retrieval algorithm allows for a good characterization of the stratospheric aerosol extinction for a wide range of wavelengths.In this work, we present the results of stratospheric aerosol extinction comparisons between AerGOM and various spaceborne instruments (SAGE II, SAGE III, POAM III, ACE-MAESTRO and OSIRIS) for different wavelengths. The aerosol extinction intercomparisons for λ < 700 nm and above 20 km show agreements with SAGE II version 7 and SAGE III version 4.0 within ±15 % and ±45 %, respectively. There is a strong positive bias below 20 km at λ < 700 nm, which suggests that cirrus clouds at these altitudes have a large impact on the extinction values. Comparisons performed with GOMOS IPF v6.01 alongside AerGOM show that at short wavelengths and altitudes below 20 km, IPF retrievals are more accurate when evaluated against SAGE II and SAGE III but are much less precise than AerGOM. A modified aerosol spectral parameterization can improve AerGOM in this spectral and altitude range and leads to results that have an accuracy similar to IPF retrievals. Comparisons of AerGOM aerosol extinction coefficients with OSIRIS and SAGE III measurements at wavelengths larger than 700 nm show a very large negative bias at altitudes above 25 km. Therefore, the use of AerGOM aerosol extinction data is not recommended for λ > 700 nm.Due to the unique observational technique of GOMOS, some of the results appear to be dependent on the star occultation parameters such as star apparent temperature and magnitude, solar zenith angle and latitude of observation. A systematic analysis is carried out to identify biases in the dataset, using the various spaceborne instruments as references. The quality of the aerosol retrieval is mainly influenced by the star magnitude, as well as star temperature to a lesser degree. To ensure good-quality profiles, we suggest to select occultations performed with star magnitude M < 2.5 and star temperature T > 6 × 103 K. Stray-light contamination is negligible for extinction coefficients below 700 nm using occultations performed with a solar zenith angle  > 110° but becomes important at larger wavelengths. Comparison of AerGOM results in the tropics shows an enhanced bias below 20 km that seem to confirm cirrus clouds as its cause. There are also differences between mid-latitude and tropical observations that cannot yet be explained, with a bias difference of up to 25 %.This bias characterization is extremely important for data users and might prove valuable for the production of unbiased long-term merged dataset.

Hemodialysis and peritoneal dialysis—health-related quality of life: systematic review plus meta-analysis

2021 ◽  
pp. bmjspcare-2021-003182
Author(s):  
Samira Raoofi ◽  
Fatemeh Pashazadeh Kan ◽  
Sima Rafiei ◽  
Zahra Hoseinipalangi ◽  
Sepide Rezaei ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Short Form ◽  
Meta Analysis ◽  
Health Condition ◽  
Factors Affecting ◽  
Sf 36 ◽  
Wide Range ◽  
Health Related ◽  
The Mean

BackgroundPatients with end-stage renal disease undergoing haemodialysis experience a variety of stressors leading to decreased level of quality of life (QoL). Thus, in this study, we aimed to review the current literature and identify factors affecting the health-related QoL (HRQoL) in these patients.MethodsA total of 147 studies were extracted from databases of Web of Science, PubMed, Scopus, Google Scholar, and Embase published between January 2000 and December 2020. Data were analysed using R software and results were reported with reference to Preferred Reporting Items for Systematic Reviews and Meta-Analyses standards.ResultsA total of 623 728 patients undergoing dialysis participated in 147 studies in which QoL was assessed by means of two valid questionnaires, including Short-Form 36 (SF-36) and Kidney Disease Quality of Life (KDQOL)-short form V.1.3. Total HRQoL score for patients undergoing dialysis measured by KDQOL was 64.25 (95% CI 55.67 to 72.82). Based on SF-36, the mean score of mental health items was higher than the mean score of physical health condition. Furthermore, meta-regression based on the geographical place of residence revealed that the highest QoL in patients was observed in Japan, 66.96 (95% CI 63.65 to 70.28) and Brazil, 58.03 (95% CI 53.45 to 62.6).ConclusionStudies conducted on HRQoL among patients undergoing dialysis recommend useful strategies to clinicians, letting them assess patients’ QoL in terms of a wide range of physical, mental and environmental aspects.

scholarly journals Are gluten-free foods healthier than non-gluten-free foods? An evaluation of supermarket products in Australia

2015 ◽  
Vol 114 (3) ◽  
pp. 448-454 ◽  
Author(s):  
Jason H. Y. Wu ◽  
Bruce Neal ◽  
Helen Trevena ◽  
Michelle Crino ◽  
Wendy Stuart-Smith ◽  
...  
Keyword(s):  
Food Products ◽  
Gluten Free ◽  
Food Groups ◽  
Product Packaging ◽  
Processed Meats ◽  
Optimal Score ◽  
Wide Range ◽  
Secondary Analyses ◽  
The Mean

Despite tremendous growth in the consumption of gluten-free (GF) foods, there is a lack of evaluation of their nutritional profile and how they compare with non-GF foods. The present study evaluated the nutritional quality of GF and non-GF foods in core food groups, and a wide range of discretionary products in Australian supermarkets. Nutritional information on the Nutrition Information Panel was systematically obtained from all packaged foods at four large supermarkets in Sydney, Australia in 2013. Food products were classified as GF if a GF declaration appeared anywhere on the product packaging, or non-GF if they contained gluten, wheat, rye, triticale, barley, oats or spelt. The primary outcome was the ‘Health Star Rating’ (HSR: lowest score 0·5; optimal score 5), a nutrient profiling scheme endorsed by the Australian Government. Differences in the content of individual nutrients were explored in secondary analyses. A total of 3213 food products across ten food categories were included. On average, GF plain dry pasta scored nearly 0·5 stars less (P< 0·001) compared with non-GF products; however, there were no significant differences in the mean HSR for breads or ready-to-eat breakfast cereals (P≥ 0·42 for both). Relative to non-GF foods, GF products had consistently lower average protein content across all the three core food groups, in particular for pasta and breads (52 and 32 % less, P< 0·001 for both). A substantial proportion of foods in discretionary categories carried GF labels (e.g. 87 % of processed meats), and the average HSR of GF discretionary foods were not systematically superior to those of non-GF products. The consumption of GF products is unlikely to confer health benefits, unless there is clear evidence of gluten intolerance.

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