The Experts below are selected from a list of 243 Experts worldwide ranked by ideXlab platform
Arthur T. Degaetano - One of the best experts on this subject based on the ideXlab platform.
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Trends in U.S. Surface Humidity, 1930–2010
Journal of Applied Meteorology and Climatology, 2013Co-Authors: Paula J. Brown, Arthur T. DegaetanoAbstract:AbstractU.S. hourly surface observations are examined at 145 stations to identify annual and seasonal changes in temperature, Dewpoint, relative humidity, and specific humidity since 1930. Because of numerous systematic instrument changes that have occurred, a homogeneity assessment was performed on temperatures and Dewpoints. Dewpoints contained higher breakpoint detection rates associated with instrumentation changes than did temperatures. Temperature trends were tempered by adjusting the data, whereas Dewpoints were unaffected. The effects were the same whether the adjustments were based on statistically detected or fixed-year breakpoints. Average long-term trends (1930–2010) indicate that temperature has warmed but that little change has occurred in Dewpoint and specific humidity. Warming is strongest in spring. There is evidence of inhomogeneity in the relative humidity record that primarily affects data from prior to 1950. Therefore, long-term decreases in relative humidity, which are strongest in w...
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Using a Discriminant Analysis to Classify Urban and Rural Climate Stations Based on Diurnal Range of Temperature and Dewpoint Depression
Journal of Applied Meteorology and Climatology, 2010Co-Authors: Paula J. Brown, Arthur T. DegaetanoAbstract:Abstract Most climatological datasets are beset with urban temperature influences that distort long-term trends. Using an hourly dataset of 41 urban and rural stations from the United States, discriminant functions were developed using diurnal temperature range indices based on temperature, Dewpoint, and Dewpoint depression that capture the differences between the two environments. Based on data for 1997–2006, diurnal temperature range and nighttime Dewpoint depression range indices provide the best classification variables to statistically discriminate between urban and rural climates. Of the 41 stations, 93% were correctly classified by this technique in a cross-validation analysis. An additional discriminant analysis specific to coastal stations was needed because coastal climates were noted to be aberrant. Here, all stations tested were correctly classified by the procedure. Temporal trends in discriminant scores indicate periods of time during which urbanization was occurring or increasing. Instrumen...
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A Method to Detect Inhomogeneities in Historical Dewpoint Temperature Series
Journal of Applied Meteorology and Climatology, 2009Co-Authors: Paula J. Brown, Arthur T. DegaetanoAbstract:Abstract Hourly Dewpoint temperature data for the 1951–2006 period at 10 stations in the contiguous United States were investigated to determine if inhomogeneities in their records could be detected. At least three instrument changes are known to have occurred during this time period. The relatively sparse network of stations with Dewpoint temperature data in the United States necessitated a nonconventional method to create a reference series. Utilizing nighttime occurrences of fog, clear/calm conditions, and precipitation as meteorological situations during which Dewpoint temperatures and minimum temperatures are similar, three potential reference series based on daily minimum temperature were developed to test for inhomogeneities. Four stations with independent network neighbors recording hourly Dewpoint data provided a direct validation of the effect of inhomogeneities on Dewpoint temperatures. It was determined that fog conditions and the combined results from all three meteorologically based tests pe...
G.j. Sonek - One of the best experts on this subject based on the ideXlab platform.
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a Dewpoint temperature sensor based on nd sup 3 doped fiber fluorescence
IEEE Photonics Technology Letters, 1995Co-Authors: V.j. Kardos, G.j. SonekAbstract:The design and performance characteristics of a portable Dewpoint temperature sensor based on the fluorescence emission derived from an 830-nm diode-pumped, single-mode Nd/sup 3+/-doped fiber, are reported. Dewpoint temperature is measured using an optical reflectance technique at the fiber-fluorescence emission wavelength of 950 nm, where water has a local absorption maximum and substrate reflectivity exceeds 98%. The sensor exhibits a signal-to-noise ratio (S/N) of 22 dB and a Dewpoint precision of /spl plusmn/0.2/spl deg/C at a fluorescence power of 5 /spl mu/W. >
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A Dewpoint temperature sensor based on Nd/sup 3+/-doped fiber fluorescence
IEEE Photonics Technology Letters, 1995Co-Authors: V.j. Kardos, G.j. SonekAbstract:The design and performance characteristics of a portable Dewpoint temperature sensor based on the fluorescence emission derived from an 830-nm diode-pumped, single-mode Nd/sup 3+/-doped fiber, are reported. Dewpoint temperature is measured using an optical reflectance technique at the fiber-fluorescence emission wavelength of 950 nm, where water has a local absorption maximum and substrate reflectivity exceeds 98%. The sensor exhibits a signal-to-noise ratio (S/N) of 22 dB and a Dewpoint precision of /spl plusmn/0.2/spl deg/C at a fluorescence power of 5 /spl mu/W. >
Paula J. Brown - One of the best experts on this subject based on the ideXlab platform.
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Trends in U.S. Surface Humidity, 1930–2010
Journal of Applied Meteorology and Climatology, 2013Co-Authors: Paula J. Brown, Arthur T. DegaetanoAbstract:AbstractU.S. hourly surface observations are examined at 145 stations to identify annual and seasonal changes in temperature, Dewpoint, relative humidity, and specific humidity since 1930. Because of numerous systematic instrument changes that have occurred, a homogeneity assessment was performed on temperatures and Dewpoints. Dewpoints contained higher breakpoint detection rates associated with instrumentation changes than did temperatures. Temperature trends were tempered by adjusting the data, whereas Dewpoints were unaffected. The effects were the same whether the adjustments were based on statistically detected or fixed-year breakpoints. Average long-term trends (1930–2010) indicate that temperature has warmed but that little change has occurred in Dewpoint and specific humidity. Warming is strongest in spring. There is evidence of inhomogeneity in the relative humidity record that primarily affects data from prior to 1950. Therefore, long-term decreases in relative humidity, which are strongest in w...
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Using a Discriminant Analysis to Classify Urban and Rural Climate Stations Based on Diurnal Range of Temperature and Dewpoint Depression
Journal of Applied Meteorology and Climatology, 2010Co-Authors: Paula J. Brown, Arthur T. DegaetanoAbstract:Abstract Most climatological datasets are beset with urban temperature influences that distort long-term trends. Using an hourly dataset of 41 urban and rural stations from the United States, discriminant functions were developed using diurnal temperature range indices based on temperature, Dewpoint, and Dewpoint depression that capture the differences between the two environments. Based on data for 1997–2006, diurnal temperature range and nighttime Dewpoint depression range indices provide the best classification variables to statistically discriminate between urban and rural climates. Of the 41 stations, 93% were correctly classified by this technique in a cross-validation analysis. An additional discriminant analysis specific to coastal stations was needed because coastal climates were noted to be aberrant. Here, all stations tested were correctly classified by the procedure. Temporal trends in discriminant scores indicate periods of time during which urbanization was occurring or increasing. Instrumen...
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A Method to Detect Inhomogeneities in Historical Dewpoint Temperature Series
Journal of Applied Meteorology and Climatology, 2009Co-Authors: Paula J. Brown, Arthur T. DegaetanoAbstract:Abstract Hourly Dewpoint temperature data for the 1951–2006 period at 10 stations in the contiguous United States were investigated to determine if inhomogeneities in their records could be detected. At least three instrument changes are known to have occurred during this time period. The relatively sparse network of stations with Dewpoint temperature data in the United States necessitated a nonconventional method to create a reference series. Utilizing nighttime occurrences of fog, clear/calm conditions, and precipitation as meteorological situations during which Dewpoint temperatures and minimum temperatures are similar, three potential reference series based on daily minimum temperature were developed to test for inhomogeneities. Four stations with independent network neighbors recording hourly Dewpoint data provided a direct validation of the effect of inhomogeneities on Dewpoint temperatures. It was determined that fog conditions and the combined results from all three meteorologically based tests pe...
V.j. Kardos - One of the best experts on this subject based on the ideXlab platform.
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a Dewpoint temperature sensor based on nd sup 3 doped fiber fluorescence
IEEE Photonics Technology Letters, 1995Co-Authors: V.j. Kardos, G.j. SonekAbstract:The design and performance characteristics of a portable Dewpoint temperature sensor based on the fluorescence emission derived from an 830-nm diode-pumped, single-mode Nd/sup 3+/-doped fiber, are reported. Dewpoint temperature is measured using an optical reflectance technique at the fiber-fluorescence emission wavelength of 950 nm, where water has a local absorption maximum and substrate reflectivity exceeds 98%. The sensor exhibits a signal-to-noise ratio (S/N) of 22 dB and a Dewpoint precision of /spl plusmn/0.2/spl deg/C at a fluorescence power of 5 /spl mu/W. >
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A Dewpoint temperature sensor based on Nd/sup 3+/-doped fiber fluorescence
IEEE Photonics Technology Letters, 1995Co-Authors: V.j. Kardos, G.j. SonekAbstract:The design and performance characteristics of a portable Dewpoint temperature sensor based on the fluorescence emission derived from an 830-nm diode-pumped, single-mode Nd/sup 3+/-doped fiber, are reported. Dewpoint temperature is measured using an optical reflectance technique at the fiber-fluorescence emission wavelength of 950 nm, where water has a local absorption maximum and substrate reflectivity exceeds 98%. The sensor exhibits a signal-to-noise ratio (S/N) of 22 dB and a Dewpoint precision of /spl plusmn/0.2/spl deg/C at a fluorescence power of 5 /spl mu/W. >
H. Millán - One of the best experts on this subject based on the ideXlab platform.
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nonlinear dynamics of mean daily temperature and Dewpoint time series at babolsar iran 1961 2005
Atmospheric Research, 2010Co-Authors: H. Millán, B Ghanbarianalavijeh, I GarciafornarisAbstract:Abstract Chaos theory and its applications are at the cutting edge of investigations in environmental sciences (e.g. Environmental Physics, Biometeorology and Atmospheric Sciences among many others). However, we still need to take advantage of some recent computational efforts for nonlinear investigations of empirical meteorological variables. The objectives of this work were (i) to quantify the nonlinear variability of observed time series of mean daily temperature and Dewpoint records collected at Babolsar, Iran and (ii) to stimulate the use of recent computational tools for investigating environmental data. Positive Lyapunov exponents were found for both time series ( λ max = 0.0174 and λ max = 0.0169 for mean daily air temperature and Dewpoint temperature, respectively). In addition, determinism tests showed that both time series masked strong determinist components ( | κ → | = 0.721 and | κ → | = 0.693 for mean daily temperature and Dewpoint, respectively). That nonlinear test could be of use in future research for making decisions in applying deterministic, stochastic or combinations of both models with climate data. There were found interesting evidences on the existence of empirical attractors in univariate climate time series as expressed by reconstructing both phase spaces.
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Nonlinear dynamics of mean daily temperature and Dewpoint time series at Babolsar, Iran, 1961–2005
Atmospheric Research, 2010Co-Authors: H. Millán, B. Ghanbarian-alavijeh, I. García-fornarisAbstract:Abstract Chaos theory and its applications are at the cutting edge of investigations in environmental sciences (e.g. Environmental Physics, Biometeorology and Atmospheric Sciences among many others). However, we still need to take advantage of some recent computational efforts for nonlinear investigations of empirical meteorological variables. The objectives of this work were (i) to quantify the nonlinear variability of observed time series of mean daily temperature and Dewpoint records collected at Babolsar, Iran and (ii) to stimulate the use of recent computational tools for investigating environmental data. Positive Lyapunov exponents were found for both time series ( λ max = 0.0174 and λ max = 0.0169 for mean daily air temperature and Dewpoint temperature, respectively). In addition, determinism tests showed that both time series masked strong determinist components ( | κ → | = 0.721 and | κ → | = 0.693 for mean daily temperature and Dewpoint, respectively). That nonlinear test could be of use in future research for making decisions in applying deterministic, stochastic or combinations of both models with climate data. There were found interesting evidences on the existence of empirical attractors in univariate climate time series as expressed by reconstructing both phase spaces.
