The Experts below are selected from a list of 153 Experts worldwide ranked by ideXlab platform
Ricardo Camargo - One of the best experts on this subject based on the ideXlab platform.
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A Surface-Layer Study of the Transport and Dissipation of Turbulent Kinetic Energy and the Variances of Temperature, Humidity and CO $$_2$$
Boundary-Layer Meteorology, 2017Co-Authors: João A. Hackerott, Mostafa Bakhoday paskyabi, Joachim Reuder, Amauri P. Oliveira, Stephan T. Kral, Edson P. Marques filho, Michel Dos Santos Mesquita, Ricardo CamargoAbstract:We discuss scalar similarities and dissimilarities based on analysis of the dissipation terms in the variance budget equations, considering the turbulent kinetic energy and the variances of temperature, specific humidity and specific CO $$_2$$ 2 content. For this purpose, 124 high-frequency sampled segments are selected from the Boundary Layer Late Afternoon and Sunset Turbulence experiment. The consequences of dissipation similarity in the variance transport are also discussed and quantified. The results show that, for the convective atmospheric surface layer, the non-dimensional dissipation terms can be expressed in the framework of Monin–Obukhov similarity theory and are independent of whether the variable is temperature or moisture. The scalar similarity in the dissipation term implies that the characteristic scales of the atmospheric surface layer can be estimated from the Respective Rate of variance dissipation, the characteristic scale of temperature, and the dissipation Rate of temperature variance.
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a surface layer study of the transport and dissipation of turbulent kinetic energy and the variances of temperature humidity and co formula see text
Boundary-Layer Meteorology, 2017Co-Authors: João A. Hackerott, Joachim Reuder, Amauri P. Oliveira, Stephan T. Kral, Michel Dos Santos Mesquita, Mostafa Bakhoday Paskyabi, Edson Marques P Filho, Ricardo CamargoAbstract:We discuss scalar similarities and dissimilarities based on analysis of the dissipation terms in the variance budget equations, considering the turbulent kinetic energy and the variances of temperature, specific humidity and specific CO[Formula: see text] content. For this purpose, 124 high-frequency sampled segments are selected from the Boundary Layer Late Afternoon and Sunset Turbulence experiment. The consequences of dissipation similarity in the variance transport are also discussed and quantified. The results show that, for the convective atmospheric surface layer, the non-dimensional dissipation terms can be expressed in the framework of Monin–Obukhov similarity theory and are independent of whether the variable is temperature or moisture. The scalar similarity in the dissipation term implies that the characteristic scales of the atmospheric surface layer can be estimated from the Respective Rate of variance dissipation, the characteristic scale of temperature, and the dissipation Rate of temperature variance.
João A. Hackerott - One of the best experts on this subject based on the ideXlab platform.
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A Surface-Layer Study of the Transport and Dissipation of Turbulent Kinetic Energy and the Variances of Temperature, Humidity and CO $$_2$$
Boundary-Layer Meteorology, 2017Co-Authors: João A. Hackerott, Mostafa Bakhoday paskyabi, Joachim Reuder, Amauri P. Oliveira, Stephan T. Kral, Edson P. Marques filho, Michel Dos Santos Mesquita, Ricardo CamargoAbstract:We discuss scalar similarities and dissimilarities based on analysis of the dissipation terms in the variance budget equations, considering the turbulent kinetic energy and the variances of temperature, specific humidity and specific CO $$_2$$ 2 content. For this purpose, 124 high-frequency sampled segments are selected from the Boundary Layer Late Afternoon and Sunset Turbulence experiment. The consequences of dissipation similarity in the variance transport are also discussed and quantified. The results show that, for the convective atmospheric surface layer, the non-dimensional dissipation terms can be expressed in the framework of Monin–Obukhov similarity theory and are independent of whether the variable is temperature or moisture. The scalar similarity in the dissipation term implies that the characteristic scales of the atmospheric surface layer can be estimated from the Respective Rate of variance dissipation, the characteristic scale of temperature, and the dissipation Rate of temperature variance.
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a surface layer study of the transport and dissipation of turbulent kinetic energy and the variances of temperature humidity and co formula see text
Boundary-Layer Meteorology, 2017Co-Authors: João A. Hackerott, Joachim Reuder, Amauri P. Oliveira, Stephan T. Kral, Michel Dos Santos Mesquita, Mostafa Bakhoday Paskyabi, Edson Marques P Filho, Ricardo CamargoAbstract:We discuss scalar similarities and dissimilarities based on analysis of the dissipation terms in the variance budget equations, considering the turbulent kinetic energy and the variances of temperature, specific humidity and specific CO[Formula: see text] content. For this purpose, 124 high-frequency sampled segments are selected from the Boundary Layer Late Afternoon and Sunset Turbulence experiment. The consequences of dissipation similarity in the variance transport are also discussed and quantified. The results show that, for the convective atmospheric surface layer, the non-dimensional dissipation terms can be expressed in the framework of Monin–Obukhov similarity theory and are independent of whether the variable is temperature or moisture. The scalar similarity in the dissipation term implies that the characteristic scales of the atmospheric surface layer can be estimated from the Respective Rate of variance dissipation, the characteristic scale of temperature, and the dissipation Rate of temperature variance.
John G Jiang - One of the best experts on this subject based on the ideXlab platform.
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lumacaftor ivacaftor reduces pulmonary exacerbations in patients irRespective of initial changes in fev1
Journal of Cystic Fibrosis, 2019Co-Authors: Susanna A Mccolley, Michael W Konstan, Bonnie W Ramsey, Stuart J Elborn, Michael P Boyle, Claire E Wainwright, David Waltz, Montserrat Verallonch, Gautham Marigowda, John G JiangAbstract:Abstract Background Improved lung function and fewer pulmonary exacerbations (PEx) were observed with lumacaftor/ivacaftor (LUM/IVA) in patients with cystic fibrosis homozygous for F508del. It is unknown whether PEx reduction extends to patients without early lung function improvement. Methods Post hoc analyses of pooled phase 3 data (NCT01807923, NCT01807949) categorized LUM/IVA-treated patients by percent predicted forced expiratory volume in 1 s (ppFEV1) change from baseline to day 15 into threshold categories (absolute change ≤0 vs >0; relative change Results LUM (400 mg q12h)/IVA (250 mg q12h)–treated patients (n = 369) experienced significantly fewer PEx vs placebo, regardless of threshold category. With LUM/IVA, PEx Rate per patient per year was 0.60 for those with absolute change in ppFEV1 > 0 and 0.85 for those with absolute change ≤0 (Respective Rate ratios vs placebo [95% CI]: 0.53 [0.40–0.69; P Conclusions LUM/IVA significantly reduced PEx, even in patients without early lung function improvement.
Michel Dos Santos Mesquita - One of the best experts on this subject based on the ideXlab platform.
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A Surface-Layer Study of the Transport and Dissipation of Turbulent Kinetic Energy and the Variances of Temperature, Humidity and CO $$_2$$
Boundary-Layer Meteorology, 2017Co-Authors: João A. Hackerott, Mostafa Bakhoday paskyabi, Joachim Reuder, Amauri P. Oliveira, Stephan T. Kral, Edson P. Marques filho, Michel Dos Santos Mesquita, Ricardo CamargoAbstract:We discuss scalar similarities and dissimilarities based on analysis of the dissipation terms in the variance budget equations, considering the turbulent kinetic energy and the variances of temperature, specific humidity and specific CO $$_2$$ 2 content. For this purpose, 124 high-frequency sampled segments are selected from the Boundary Layer Late Afternoon and Sunset Turbulence experiment. The consequences of dissipation similarity in the variance transport are also discussed and quantified. The results show that, for the convective atmospheric surface layer, the non-dimensional dissipation terms can be expressed in the framework of Monin–Obukhov similarity theory and are independent of whether the variable is temperature or moisture. The scalar similarity in the dissipation term implies that the characteristic scales of the atmospheric surface layer can be estimated from the Respective Rate of variance dissipation, the characteristic scale of temperature, and the dissipation Rate of temperature variance.
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a surface layer study of the transport and dissipation of turbulent kinetic energy and the variances of temperature humidity and co formula see text
Boundary-Layer Meteorology, 2017Co-Authors: João A. Hackerott, Joachim Reuder, Amauri P. Oliveira, Stephan T. Kral, Michel Dos Santos Mesquita, Mostafa Bakhoday Paskyabi, Edson Marques P Filho, Ricardo CamargoAbstract:We discuss scalar similarities and dissimilarities based on analysis of the dissipation terms in the variance budget equations, considering the turbulent kinetic energy and the variances of temperature, specific humidity and specific CO[Formula: see text] content. For this purpose, 124 high-frequency sampled segments are selected from the Boundary Layer Late Afternoon and Sunset Turbulence experiment. The consequences of dissipation similarity in the variance transport are also discussed and quantified. The results show that, for the convective atmospheric surface layer, the non-dimensional dissipation terms can be expressed in the framework of Monin–Obukhov similarity theory and are independent of whether the variable is temperature or moisture. The scalar similarity in the dissipation term implies that the characteristic scales of the atmospheric surface layer can be estimated from the Respective Rate of variance dissipation, the characteristic scale of temperature, and the dissipation Rate of temperature variance.
Stephan T. Kral - One of the best experts on this subject based on the ideXlab platform.
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A Surface-Layer Study of the Transport and Dissipation of Turbulent Kinetic Energy and the Variances of Temperature, Humidity and CO $$_2$$
Boundary-Layer Meteorology, 2017Co-Authors: João A. Hackerott, Mostafa Bakhoday paskyabi, Joachim Reuder, Amauri P. Oliveira, Stephan T. Kral, Edson P. Marques filho, Michel Dos Santos Mesquita, Ricardo CamargoAbstract:We discuss scalar similarities and dissimilarities based on analysis of the dissipation terms in the variance budget equations, considering the turbulent kinetic energy and the variances of temperature, specific humidity and specific CO $$_2$$ 2 content. For this purpose, 124 high-frequency sampled segments are selected from the Boundary Layer Late Afternoon and Sunset Turbulence experiment. The consequences of dissipation similarity in the variance transport are also discussed and quantified. The results show that, for the convective atmospheric surface layer, the non-dimensional dissipation terms can be expressed in the framework of Monin–Obukhov similarity theory and are independent of whether the variable is temperature or moisture. The scalar similarity in the dissipation term implies that the characteristic scales of the atmospheric surface layer can be estimated from the Respective Rate of variance dissipation, the characteristic scale of temperature, and the dissipation Rate of temperature variance.
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a surface layer study of the transport and dissipation of turbulent kinetic energy and the variances of temperature humidity and co formula see text
Boundary-Layer Meteorology, 2017Co-Authors: João A. Hackerott, Joachim Reuder, Amauri P. Oliveira, Stephan T. Kral, Michel Dos Santos Mesquita, Mostafa Bakhoday Paskyabi, Edson Marques P Filho, Ricardo CamargoAbstract:We discuss scalar similarities and dissimilarities based on analysis of the dissipation terms in the variance budget equations, considering the turbulent kinetic energy and the variances of temperature, specific humidity and specific CO[Formula: see text] content. For this purpose, 124 high-frequency sampled segments are selected from the Boundary Layer Late Afternoon and Sunset Turbulence experiment. The consequences of dissipation similarity in the variance transport are also discussed and quantified. The results show that, for the convective atmospheric surface layer, the non-dimensional dissipation terms can be expressed in the framework of Monin–Obukhov similarity theory and are independent of whether the variable is temperature or moisture. The scalar similarity in the dissipation term implies that the characteristic scales of the atmospheric surface layer can be estimated from the Respective Rate of variance dissipation, the characteristic scale of temperature, and the dissipation Rate of temperature variance.