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  Subjects -> METEOROLOGY (Total: 110 journals)
Showing 1 - 36 of 36 Journals sorted alphabetically
Acta Meteorologica Sinica     Hybrid Journal   (Followers: 3)
Advances in Atmospheric Sciences     Hybrid Journal   (Followers: 43)
Advances in Climate Change Research     Open Access   (Followers: 28)
Advances in Meteorology     Open Access   (Followers: 24)
Advances in Statistical Climatology, Meteorology and Oceanography     Open Access   (Followers: 7)
Aeolian Research     Hybrid Journal   (Followers: 6)
Agricultural and Forest Meteorology     Hybrid Journal   (Followers: 18)
American Journal of Climate Change     Open Access   (Followers: 27)
Atmósfera     Open Access   (Followers: 3)
Atmosphere     Open Access   (Followers: 25)
Atmosphere-Ocean     Full-text available via subscription   (Followers: 14)
Atmospheric and Oceanic Science Letters     Open Access   (Followers: 10)
Atmospheric Chemistry and Physics (ACP)     Open Access   (Followers: 47)
Atmospheric Chemistry and Physics Discussions (ACPD)     Open Access   (Followers: 14)
Atmospheric Environment     Hybrid Journal   (Followers: 72)
Atmospheric Environment : X     Open Access   (Followers: 3)
Atmospheric Research     Hybrid Journal   (Followers: 69)
Atmospheric Science Letters     Open Access   (Followers: 36)
Boundary-Layer Meteorology     Hybrid Journal   (Followers: 31)
Bulletin of Atmospheric Science and Technology     Hybrid Journal   (Followers: 1)
Bulletin of the American Meteorological Society     Open Access   (Followers: 49)
Carbon Balance and Management     Open Access   (Followers: 4)
Change and Adaptation in Socio-Ecological Systems     Open Access   (Followers: 4)
Ciencia, Ambiente y Clima     Open Access   (Followers: 3)
Climate     Open Access   (Followers: 5)
Climate Change Economics     Hybrid Journal   (Followers: 14)
Climate Change Research Letters     Open Access   (Followers: 7)
Climate Change Responses     Open Access   (Followers: 8)
Climate Dynamics     Hybrid Journal   (Followers: 44)
Climate law     Hybrid Journal   (Followers: 7)
Climate of the Past (CP)     Open Access   (Followers: 5)
Climate of the Past Discussions (CPD)     Open Access  
Climate Policy     Hybrid Journal   (Followers: 36)
Climate Research     Hybrid Journal   (Followers: 6)
Climate Risk Management     Open Access   (Followers: 4)
Climate Services     Open Access   (Followers: 3)
Climate Summary of South Africa     Full-text available via subscription   (Followers: 2)
Climatic Change     Open Access   (Followers: 60)
Current Climate Change Reports     Hybrid Journal   (Followers: 4)
Developments in Atmospheric Science     Full-text available via subscription   (Followers: 27)
Dynamics and Statistics of the Climate System     Open Access   (Followers: 5)
Dynamics of Atmospheres and Oceans     Hybrid Journal   (Followers: 18)
Earth Perspectives - Transdisciplinarity Enabled     Open Access  
Economics of Disasters and Climate Change     Hybrid Journal   (Followers: 2)
Energy & Environment     Hybrid Journal   (Followers: 23)
Environmental and Climate Technologies     Open Access   (Followers: 4)
Environmental Dynamics and Global Climate Change     Open Access   (Followers: 6)
Frontiers in Climate     Open Access   (Followers: 2)
GeoHazards     Open Access   (Followers: 1)
Global Meteorology     Open Access   (Followers: 17)
International Journal of Atmospheric Sciences     Open Access   (Followers: 21)
International Journal of Biometeorology     Hybrid Journal   (Followers: 1)
International Journal of Climatology     Hybrid Journal   (Followers: 31)
International Journal of Environment and Climate Change     Open Access   (Followers: 3)
International Journal of Image and Data Fusion     Hybrid Journal   (Followers: 2)
Journal of Agricultural Meteorology     Open Access  
Journal of Applied Meteorology and Climatology     Hybrid Journal   (Followers: 35)
Journal of Atmospheric and Oceanic Technology     Hybrid Journal   (Followers: 33)
Journal of Atmospheric and Solar-Terrestrial Physics     Hybrid Journal   (Followers: 199)
Journal of Atmospheric Chemistry     Hybrid Journal   (Followers: 21)
Journal of Climate     Hybrid Journal   (Followers: 54)
Journal of Climate Change     Full-text available via subscription   (Followers: 2)
Journal of Climatology     Open Access   (Followers: 3)
Journal of Hydrology and Meteorology     Open Access   (Followers: 29)
Journal of Hydrometeorology     Hybrid Journal   (Followers: 11)
Journal of Integrative Environmental Sciences     Hybrid Journal   (Followers: 4)
Journal of Meteorological Research     Full-text available via subscription   (Followers: 1)
Journal of Meteorology and Climate Science     Full-text available via subscription   (Followers: 14)
Journal of Space Weather and Space Climate     Open Access   (Followers: 27)
Journal of the Atmospheric Sciences     Hybrid Journal   (Followers: 79)
Journal of the Meteorological Society of Japan     Partially Free   (Followers: 6)
Journal of Weather Modification     Full-text available via subscription   (Followers: 2)
Large Marine Ecosystems     Full-text available via subscription   (Followers: 1)
Mathematics of Climate and Weather Forecasting     Open Access   (Followers: 6)
Mediterranean Marine Science     Open Access   (Followers: 1)
Meteorologica     Open Access   (Followers: 2)
Meteorological Applications     Hybrid Journal   (Followers: 4)
Meteorological Monographs     Hybrid Journal  
Meteorologische Zeitschrift     Full-text available via subscription   (Followers: 3)
Meteorology and Atmospheric Physics     Hybrid Journal   (Followers: 26)
Mètode Science Studies Journal : Annual Review     Open Access  
Michigan Journal of Sustainability     Open Access   (Followers: 1)
Modeling Earth Systems and Environment     Hybrid Journal  
Monthly Notices of the Royal Astronomical Society     Hybrid Journal   (Followers: 14)
Monthly Weather Review     Hybrid Journal   (Followers: 34)
Nature Climate Change     Full-text available via subscription   (Followers: 125)
Nature Reports Climate Change     Full-text available via subscription   (Followers: 35)
Nīvār     Open Access  
npj Climate and Atmospheric Science     Open Access   (Followers: 3)
Open Atmospheric Science Journal     Open Access   (Followers: 2)
Open Journal of Modern Hydrology     Open Access   (Followers: 6)
Revista Brasileira de Meteorologia     Open Access  
Revista Iberoamericana de Bioeconomía y Cambio Climático     Open Access  
Russian Meteorology and Hydrology     Hybrid Journal   (Followers: 3)
Space Weather     Full-text available via subscription   (Followers: 24)
Studia Geophysica et Geodaetica     Hybrid Journal  
Tellus A     Open Access   (Followers: 22)
Tellus B     Open Access   (Followers: 21)
The Cryosphere (TC)     Open Access   (Followers: 5)
The Cryosphere Discussions (TCD)     Open Access   (Followers: 4)
The Quarterly Journal of the Royal Meteorological Society     Hybrid Journal   (Followers: 27)
Theoretical and Applied Climatology     Hybrid Journal   (Followers: 12)
Tropical Cyclone Research and Review     Open Access   (Followers: 1)
Urban Climate     Hybrid Journal   (Followers: 4)
Weather     Hybrid Journal   (Followers: 19)
Weather and Climate Dynamics     Open Access  
Weather and Climate Extremes     Open Access   (Followers: 16)
Weather and Forecasting     Hybrid Journal   (Followers: 28)
Weatherwise     Hybrid Journal   (Followers: 4)
气候与环境研究     Full-text available via subscription   (Followers: 1)

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Similar Journals
Journal Cover
Advances in Statistical Climatology, Meteorology and Oceanography
Number of Followers: 7  

  This is an Open Access Journal Open Access journal
ISSN (Print) 2364-3579 - ISSN (Online) 2364-3587
Published by Copernicus Publications Homepage  [62 journals]
  • Assessing NARCCAP climate model effects using spatial confidence regions

    • Authors: Copernicus Electronic Production Support Office
      Abstract: Assessing NARCCAP climate model effects using spatial confidence regions
      Joshua P. French, Seth McGinnis, and Armin Schwartzman
      Adv. Stat. Clim. Meteorol. Oceanogr., 3, 67-92, https://doi.org10.5194/ascmo-3-67-2017, 2017
      We assess the mean temperature effect of global and regional climate model combinations for the North American Regional Climate Change Assessment Program using varying classes of linear regression models, including possible interaction effects. We use both pointwise and simultaneous inference procedures to identify regions where global and regional climate model effects differ. We conclusively show that accounting for multiple comparisons is important for making proper inference.
      PubDate: 2017-07-14T07:40:57+02:00
       
  • Generalised block bootstrap and its use in meteorology

    • Authors: Copernicus Electronic Production Support Office
      Abstract: Generalised block bootstrap and its use in meteorology
      László Varga and András Zempléni
      Adv. Stat. Clim. Meteorol. Oceanogr., 3, 55-66, https://doi.org10.5194/ascmo-3-55-2017, 2017
      This paper proposes a new generalisation of the block bootstrap methodology, which allows for any positive real number as expected block size. We use this bootstrap for determining the p values of a homogeneity test for copulas. The methods are applied to a temperature data set - we have found some significant changes in the dependence structure between the standardised temperature values of pairs of observation points within the Carpathian Basin.
      PubDate: 2017-06-14T10:28:37+02:00
       
  • Estimating trends in the global mean temperature record

    • Authors: Copernicus Electronic Production Support Office
      Abstract: Estimating trends in the global mean temperature record
      Andrew Poppick, Elisabeth J. Moyer, and Michael L. Stein
      Adv. Stat. Clim. Meteorol. Oceanogr., 3, 33-53, https://doi.org10.5194/ascmo-3-33-2017, 2017
      We show that ostensibly empirical methods of analyzing trends in the global mean temperature record, which appear to de-emphasize assumptions, can nevertheless produce misleading inferences about trends and associated uncertainty. We illustrate how a simple but physically motivated trend model can provide better-fitting and more broadly applicable results, and show the importance of adequately characterizing internal variability for estimating trend uncertainty.
      PubDate: 2017-06-09T10:28:37+02:00
       
  • A statistical framework for conditional extreme event attribution

    • Authors: Copernicus Electronic Production Support Office
      Abstract: A statistical framework for conditional extreme event attribution
      Pascal Yiou, Aglaé Jézéquel, Philippe Naveau, Frederike E. L. Otto, Robert Vautard, and Mathieu Vrac
      Adv. Stat. Clim. Meteorol. Oceanogr., 3, 17-31, https://doi.org10.5194/ascmo-3-17-2017, 2017
      The attribution of classes of extreme events, such as heavy precipitation or heatwaves, relies on the estimate of small probabilities (with and without climate change). Such events are connected to the large-scale atmospheric circulation. This paper links such probabilities with properties of the atmospheric circulation by using a Bayesian decomposition. We test this decomposition on a case of extreme precipitation in the UK, in January 2014.
      PubDate: 2017-04-18T10:28:37+02:00
       
  • Reconstruction of spatio-temporal temperature from sparse historical
           records using robust probabilistic principal component regression

    • Authors: Copernicus Electronic Production Support Office
      Abstract: Reconstruction of spatio-temporal temperature from sparse historical records using robust probabilistic principal component regression
      John Tipton, Mevin Hooten, and Simon Goring
      Adv. Stat. Clim. Meteorol. Oceanogr., 3, 1-16, https://doi.org10.5194/ascmo-3-1-2017, 2017
      We present a statistical framework for the reconstruction of historic temperature patterns from sparse, irregular data collected from observer stations. A common statistical technique for climate reconstruction uses modern era data as a set of temperature patterns that can be used to estimate the spatial temperature patterns. We present a framework for exploration of different assumptions about the sets of patterns used in the reconstruction while providing statistically rigorous estimates.
      PubDate: 2017-01-27T10:28:37+01:00
       
  • Weak constraint four-dimensional variational data assimilation in a model
           of the California Current System

    • Authors: Copernicus Electronic Production Support Office
      Abstract: Weak constraint four-dimensional variational data assimilation in a model of the California Current System
      William J. Crawford, Polly J. Smith, Ralph F. Milliff, Jerome Fiechter, Christopher K. Wikle, Christopher A. Edwards, and Andrew M. Moore
      Adv. Stat. Clim. Meteorol. Oceanogr., 2, 171-192, https://doi.org10.5194/ascmo-2-171-2016, 2016
      We present a method for estimating intrinsic model error in a model of the California Current System. The estimated model error covariance matrix is used in the weak constraint formulation of the Regional Ocean Modeling System, four-dimensional variational data assimilation system, and comparison of the circulation estimates computed in this way show demonstrable improvement to those computed in the strong constraint formulation, where intrinsic model error is not taken into account.
      PubDate: 2016-12-14T10:28:37+01:00
       
  • Analysis of variability of tropical Pacific sea surface temperatures

    • Authors: Copernicus Electronic Production Support Office
      Abstract: Analysis of variability of tropical Pacific sea surface temperatures
      Georgina Davies and Noel Cressie
      Adv. Stat. Clim. Meteorol. Oceanogr., 2, 155-169, https://doi.org10.5194/ascmo-2-155-2016, 2016
      Sea surface temperature (SST) is a key component of global climate models, particularly in the tropical Pacific Ocean where El Niño and La Nina events have worldwide implications. In our paper, we analyse monthly SSTs in the Niño 3.4 region and find a transformation that removes a spatial mean-variance dependence for each month. For 10 out of 12 months in the year, the transformed monthly time series gave more accurate or as accurate forecasts than those from the untransformed time series.
      PubDate: 2016-11-14T10:28:37+01:00
       
  • Evaluating NARCCAP model performance for frequencies of severe-storm
           environments

    • Authors: Copernicus Electronic Production Support Office
      Abstract: Evaluating NARCCAP model performance for frequencies of severe-storm environments
      Eric Gilleland, Melissa Bukovsky, Christopher L. Williams, Seth McGinnis, Caspar M. Ammann, Barbara G. Brown, and Linda O. Mearns
      Adv. Stat. Clim. Meteorol. Oceanogr., 2, 137-153, https://doi.org10.5194/ascmo-2-137-2016, 2016
      Several climate models are evaluated under current climate conditions to determine how well they are able to capture frequencies of severe-storm environments (conditions conducive for the formation of hail storms, tornadoes, etc.). They are found to underpredict the spatial extent of high-frequency areas (such as tornado alley), as well as underpredict the frequencies in the areas.
      PubDate: 2016-11-04T10:28:37+01:00
       
  • Mixture model-based atmospheric air mass classification: a
           probabilistic view of thermodynamic profiles

    • Authors: Copernicus Electronic Production Support Office
      Abstract: Mixture model-based atmospheric air mass classification: a probabilisticview of thermodynamic profiles
      Jérôme Pernin, Mathieu Vrac, Cyril Crevoisier, and Alain Chédin
      Adv. Stat. Clim. Meteorol. Oceanogr., 2, 115-136, https://doi.org10.5194/ascmo-2-115-2016, 2016
      Here, we propose a classification methodology of various space-time atmospheric datasets into discrete air mass groups homogeneous in temperature and humidity through a probabilistic point of view: both the classification process and the data are probabilistic. Unlike conventional classification algorithms, this methodology provides the probability of belonging to each class as well as the corresponding uncertainty, which can be used in various applications.
      PubDate: 2016-10-12T10:28:37+02:00
       
  • A space–time statistical climate model for hurricane intensification in
           the North Atlantic basin

    • Authors: Copernicus Electronic Production Support Office
      Abstract: A space–time statistical climate model for hurricane intensification in the North Atlantic basin
      Erik Fraza, James B. Elsner, and Thomas H. Jagger
      Adv. Stat. Clim. Meteorol. Oceanogr., 2, 105-114, https://doi.org10.5194/ascmo-2-105-2016, 2016
      Climate influences on hurricane intensification are investigated by averaging hourly intensification rates over the period 1975–2014 in 8° by 8° latitude–longitude grid cells. The statistical effects of hurricane intensity, sea-surface temperature (SST), El Niño–Southern Oscillation (ENSO), the North Atlantic Oscillation (NAO), and the Madden–Julian Oscillation (MJO) are quantified. Intensity, SST, and NAO had a positive effect on intensification rates. The NAO effect should be further studied.
      PubDate: 2016-08-02T10:28:37+02:00
       
  • Estimating changes in temperature extremes from millennial-scale climate
           simulations using generalized extreme value (GEV) distributions

    • Authors: Copernicus Electronic Production Support Office
      PubDate: 2016-07-01T10:28:37+02:00
       
  • A comparison of two methods for detecting abrupt changes in the variance
           of climatic time series

    • Authors: Copernicus Electronic Production Support Office
      PubDate: 2016-06-24T10:28:37+02:00
       
  • A path towards uncertainty assignment in an operational cloud-phase
           algorithm from ARM vertically pointing active sensors

    • Authors: Copernicus Electronic Production Support Office
      Abstract: A path towards uncertainty assignment in an operational cloud-phase algorithm from ARM vertically pointing active sensors
      Laura D. Riihimaki, Jennifer M. Comstock, Kevin K. Anderson, Aimee Holmes, and Edward Luke
      Adv. Stat. Clim. Meteorol. Oceanogr., 2, 49-62, https://doi.org10.5194/ascmo-2-49-2016, 2016
      Between atmospheric temperatures of 0 and −38 °C, clouds contain ice crystals, super-cooled liquid droplets, or a mixture of both, impacting how they influence the atmospheric energy budget and challenging our ability to simulate climate change. Better cloud-phase measurements are needed to improve simulations. We demonstrate how a Bayesian method to identify cloud phase can improve on currently used methods by including information from multiple measurements and probability estimates.
      PubDate: 2016-06-10T10:28:37+02:00
       
  • Calibrating regionally downscaled precipitation over Norway through
           quantile-based approaches

    • Authors: Copernicus Electronic Production Support Office
      PubDate: 2016-06-09T10:28:37+02:00
       
  • Building a traceable climate model hierarchy with multi-level emulators

    • Authors: Copernicus Electronic Production Support Office
      Abstract: Building a traceable climate model hierarchy with multi-level emulators
      Giang T. Tran, Kevin I. C. Oliver, András Sóbester, David J. J. Toal, Philip B. Holden, Robert Marsh, Peter Challenor, and Neil R. Edwards
      Adv. Stat. Clim. Meteorol. Oceanogr., 2, 17-37, https://doi.org10.5194/ascmo-2-17-2016, 2016
      In this work, we combine the information from a complex and a simple atmospheric model to efficiently build a statistical representation (an emulator) of the complex model and to study the relationship between them. Thanks to the improved efficiency, this process is now feasible for complex models, which are slow and costly to run. The constructed emulator provide approximations of the model output, allowing various analyses to be made without the need to run the complex model again.
      PubDate: 2016-04-18T10:28:37+02:00
       
  • Comparison of hidden and observed regime-switching autoregressive models
           for (u, v)-components of wind fields in the northeastern Atlantic

    • Authors: Copernicus Electronic Production Support Office
      Abstract: Comparison of hidden and observed regime-switching autoregressive models for (u, v)-components of wind fields in the northeastern Atlantic
      Julie Bessac, Pierre Ailliot, Julien Cattiaux, and Valerie Monbet
      Adv. Stat. Clim. Meteorol. Oceanogr., 2, 1-16, https://doi.org10.5194/ascmo-2-1-2016, 2016
      Several multi-site stochastic generators of zonal and meridional components of wind are proposed in this paper. Various questions are explored, such as the modeling of the regime in a multi-site context, the extraction of relevant clusterings from extra variables or from the local wind data, and the link between weather types extracted from wind data and large-scale weather regimes. We also discuss the relative advantages of hidden and observed regime-switching models.
      PubDate: 2016-02-29T10:28:37+01:00
       
  • Autoregressive spatially varying coefficients model for predicting daily
           PM2.5 using VIIRS satellite AOT

    • Authors: Copernicus Electronic Production Support Office
      Abstract: Autoregressive spatially varying coefficients model for predicting daily PM2.5 using VIIRS satellite AOT
      E. M. Schliep, A. E. Gelfand, and D. M. Holland
      Adv. Stat. Clim. Meteorol. Oceanogr., 1, 59-74, https://doi.org10.5194/ascmo-1-59-2015, 2015
      There is considerable demand for accurate air quality information in human health analyses. The sparsity of ground monitoring stations across the US motivates the need for advanced statistical models to predict air quality metrics. We propose a statistical model that jointly models ground-monitoring station data and satellite-obtained data allowing for temporal and spatial misalignment, missingness, and spatially and temporally varying correlation to enhance prediction of particulate matter.
      PubDate: 2015-12-16T10:28:37+01:00
       
  • Characterization of extreme precipitation within atmospheric river events
           over California

    • Authors: Copernicus Electronic Production Support Office
      Abstract: Characterization of extreme precipitation within atmospheric river events over California
      S. Jeon, Prabhat, S. Byna, J. Gu, W. D. Collins, and M. F. Wehner
      Adv. Stat. Clim. Meteorol. Oceanogr., 1, 45-57, https://doi.org10.5194/ascmo-1-45-2015, 2015
      This paper investigates the influence of atmospheric rivers on spatial coherence of extreme precipitation under a changing climate. We use our TECA software developed for detecting atmospheric river events and apply statistical techniques based on extreme value theory to characterize the spatial dependence structure between precipitation extremes within the events. The results show that extreme rainfall caused by atmospheric river events is less spatially correlated under the warming scenario.
      PubDate: 2015-11-17T10:28:37+01:00
       
  • Bivariate spatial analysis of temperature and precipitation from general
           circulation models and observation proxies

    • Authors: Copernicus Electronic Production Support Office
      PubDate: 2015-05-22T10:28:37+02:00
       
  • Joint inference of misaligned irregular time series with application to
           Greenland ice core data

    • Authors: Copernicus Electronic Production Support Office
      PubDate: 2015-03-25T10:28:37+01:00
       
 
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