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Stochastic Parameterization Using Compressed Sensing: Application to the Lorenz-96 Atmospheric Model Tellus A (IF 2.247) Pub Date : 2022-04-26 A. Mukherjee,Y. Aydogdu,T. Ravichandran,N. Sri Namachchivaya
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Recurrence of Drought Events Over Iberia. Part II: Future Changes Using Regional Climate Projections Tellus A (IF 2.247) Pub Date : 2022-04-25 Julia Moemken,Benjamin Koerner,Florian Ehmele,Hendrik Feldmann,Joaquim G. Pinto
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Recurrence of Drought Events Over Iberia. Part I: Methodology and Application for Present Climate Conditions Tellus A (IF 2.247) Pub Date : 2022-04-20 Julia Moemken,Joaquim G. Pinto
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Power Spectrum Sensitivity Analysis of the Global Mean Surface Temperature Fluctuations Simulated in a Two-Box Stochastic Energy Balance Model Tellus A (IF 2.247) Pub Date : 2022-03-22 Sergei A. Soldatenko,Robert A. Colman
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Surprises in Physical Oceanography: Contributions from Ocean Acoustic Tomography Tellus A (IF 2.247) Pub Date : 2022-03-22 Brian D. Dushaw
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Atmospheric Energy Spectra in Global Kilometre-Scale Models Tellus A (IF 2.247) Pub Date : 2022-01-01 Claudia Christine Stephan,Julia Duras,Lucas Harris,Daniel Klocke,William M. Putman,Mark Taylor,Nils P. Wedi,Nedjeljka Žagar,Florian Ziemen
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Contributions from Changing Large-Scale Atmospheric Conditions to Changes in Scandinavian Temperature and Precipitation Between Two Climate Normals Tellus A (IF 2.247) Pub Date : 2022-01-01 Erik Kjellström,Felicitas Hansen,Danijel Belušić
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Variational Assimilation of Surface Wave Data for Bathymetry Reconstruction. Part II: Second Order Adjoint Sensitivity Analysis Tellus A (IF 2.247) Pub Date : 2022-01-01 R. A. Khan,N. K.-R. Kevlahan
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A New Ensemble Index for Extracting Predictable Drought Features from Multiple Historical Simulations of Climate Tellus A (IF 2.247) Pub Date : 2022-01-01 Sun Yuanbin,Sadia Qamar,Zulfiqar Ali,Tao Yang,Amna Nazeer,Rabia Fayyaz
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Energetics in the Charney Problem with a Generic Stratosphere Tellus A (IF 2.247) Pub Date : 2022-01-01 Mankin Mak,Siyu Zhao
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A New Standardized Type Drought Indicators Based Hybrid Procedure for Strengthening Drought Monitoring System Tellus A (IF 2.247) Pub Date : 2022-01-01 Muhammad Asif Khan,Xiang Zhang,Zulfiqar Ali,He Jiang,Muhammad Ismail,Sadia Qamar
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The Controlling Mechanisms of the Recent Global Warming Hiatus: A Focus on the Internal Variabilities Tellus A (IF 2.247) Pub Date : 2022-01-01 Ruijian Gou,Yuhang Liu,Chengcheng Wang
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Case Study of a Large Mesospheric Front in Polar Mesospheric Clouds Tellus A (IF 2.247) Pub Date : 2022-01-01 Lina Broman,Brentha Thurairajah,Susanne Benze,Ole Martin Christensen,Jörg Gumbel
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Evaluation of Marine Wind Profiles in the North Sea and Norwegian Sea Based on Measurements and Satellite-Derived Wind Products Tellus A (IF 2.247) Pub Date : 2022-01-01 Anne-Mette Olsen,Merete Øiestad,Erik Berge,Morten Ødegaard Køltzow,Teresa Valkonen
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Nowcasting Meso-γ-Scale Convective Storms Using Convolutional LSTM Models and High-Resolution Radar Observations Tellus A (IF 2.247) Pub Date : 2022-01-01 Dong-Kyun Kim,Tomoo Ushio
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Mechanism of Asymmetric Precipitation by Tropical Cyclone Nada Over the Indian Peninsula Tellus A (IF 2.247) Pub Date : 2022-01-01 Haibin Lü,Xueting Xing,Honghua Zhang,Yusheng Cui,Chuqi Xia,Simei Tan
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Tellus A and B with Stockholm University Press Tellus A (IF 2.247) Pub Date : 2021-12-27 Abdel Hannachi, H.-C. Hansson
(2021). Tellus A and B with Stockholm University Press. Tellus A: Dynamic Meteorology and Oceanography: Vol. 73, No. 1, pp. 1-1.
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Variational assimilation of surface wave data for bathymetry reconstruction. Part I: algorithm and test cases Tellus A (IF 2.247) Pub Date : 2021-11-08 R. A. Khan, N. K.-R. Kevlahan
Abstract Accurate mapping of ocean bathymetry is needed for effective modelling of ocean dynamics, such as tsunami prediction. Available bathymetry data does not always provide the resolution to model such nonlinear waves accurately, and collection of accurate data is logistically challenging. As an alternative, in this study we develop and evaluate a variational data assimilation scheme for the one-dimensional
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A new propagation-based framework to enhance competency in regional drought monitoring Tellus A (IF 2.247) Pub Date : 2021-10-16 Rizwan Niaz, Xiang Zhang, Zulfiqar Ali, Ijaz Hussain, Muhammad Faisal, Elsayed Elsherbini Elashkar, Jameel Ahmad Khader, Sadaf Shamshoddin Soudagar, Alaa Mohamd Shoukry, Fares Fawzi Al-Deek
Abstract Drought is considered a regional phenomenon that usually covers large territorial extensions. It can occur anywhere in the world with severe impacts on water resources and socioeconomic activities. Therefore, it is compulsory to develop reliable tools and execute national plans based on the preeminent information and characterization of drought. There are numerous drought monitoring tools
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River Nile discharge, the Pacific Ocean and world climate – a seasonal synchronization perspective Tellus A (IF 2.247) Pub Date : 2021-09-16 Woosok Moon, Abdel Hannachi
Abstract The Nile is the longest river in Africa stretching over around 6650 km through 11 countries. From the times of the ancient Egyptian Pharaonic civilization, the Nile is known to be a blessing, which provides major resources including water and fertile soil for agriculture, and facilitates transportations and international trades in nearby countries. Due to its invaluable importance to local
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On the configuration of a regional Arctic Numerical Weather Prediction system to maximize predictive capacity Tellus A (IF 2.247) Pub Date : 2021-09-13 Morten KØltzow, Rafael Grote, Andrew Singleton
Abstract Limitations to operational weather forecasts exist in terms of availability of computer (and human) resources combined with operational deadlines. For operational weather services it is therefore important to utilize their resources to maximize the predictive capability. This study shows how forecast quality in a state-of-the-art high-resolution regional Arctic Numerical Weather Prediction
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An inverse relationship between South China Sea summer monsoon intensity and ENSO Tellus A (IF 2.247) Pub Date : 2021-09-11 Jae-Won Choi
Abstract Correlations between the South China Sea summer (June-September) monsoon (SCSSM) and El Niño Southern Oscillation (ENSO) for the past 32 years (1979–2010) were analyzed. As a result, a higher (lower) SST in the Niño-3.4 areas was associated with a weaker (stronger) SCSSM intensity. To examine the cause of this correlation, the differences between the June-September average of 8 El Niño years
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Statistical analysis of modified Hargreaves equation for precise estimation of reference evapotranspiration Tellus A (IF 2.247) Pub Date : 2021-08-25
Abstract There are a lot of meteorological stations around the world, like Pakistan, where all the meteorological parameters are not accessible to analyze Penman-Monteith (PM) method for the estimation of Reference Evapotranspiration (ETo). So ablative methods such as Hargreaves Samani (HS) equation are therefore a potential solution to this problem, which required small numbers of meteorological parameters
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PCA analysis of wind direction climate in the baltic states Tellus A (IF 2.247) Pub Date : 2021-08-11
Abstract Wind direction is one of the fundamental parameters of weather. In this study we investigate the wind direction climate 10 m above surface level in the Baltic States (Estonia, Latvia, Lithuania). The analysis of wind direction over larger regions is usually hindered by the fact that wind direction is a circular variable, which means that averaged values are meaningless. Here we show how Principal
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Agricultural drought periods analysis by using nonhomogeneous poisson models and regionalization of appropriate model parameters Tellus A (IF 2.247) Pub Date : 2021-07-29
Abstract Precipitation has a dominant role in agriculture, and a regular rain pattern is usually vital to agriculture; excessive or inadequate rainfall can be harmful. In this paper, an agricultural drought index is utilized to study the agricultural drought periods and analyze them with their intensities at various locations. Some nonhomogeneous Poisson models are also used to calculate the probability
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Spatiotemporal distribution of precipitation related to weakening of tropical cyclones in Korea Tellus A (IF 2.247) Pub Date : 2021-07-20
Abstract In this study, we analysed the spatiotemporal characteristics of precipitation in Korea in connection with weakening of tropical cyclones (TCs) around the Korean Peninsula (32°–36° N, 122°–132° E) over the past 30 years (1979–2015). Weakened TCs were classified into two categories: TCs weakened to extratropical cyclones (WEC) and TCs weakened to tropical depressions (WTD). In WEC, precipitation
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A possible generation mechanism for internal waves near the edge of a submesoscale eddy Tellus A (IF 2.247) Pub Date : 2021-07-05 I.P. Chunchuzov, O.M. Johannessen, G.O. Marmorino
Abstract Recently, it has been shown for the first time by observations that an anticyclonic mesoscale eddy can generate internal waves (wavelengths of 0.4 to 1 km) that carry energy away from the eddy. In the present study, we investigate a possible mechanism for generating internal waves near the edge of a submesoscale eddy. The study was motivated by airborne infrared imagery that shows curved thermal
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Empirical evidence for a global atmospheric temperature control system: physical structure Tellus A (IF 2.247) Pub Date : 2021-06-21 L. Mark W. Leggett, David A. Ball
Abstract There is evidence that a natural control system influences global atmospheric surface temperature (Leggett and Ball 2020). The present paper sets up and tests a hypothesis concerning the physical makeup of the sequential elements of the control system and its outcomes. The final outcome that the control system influences is defined as global atmospheric surface temperature. The terms used
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Using global Bayesian optimization in ensemble data assimilation: parameter estimation, tuning localization and inflation, or all of the above Tellus A (IF 2.247) Pub Date : 2021-06-12 Spencer Lunderman, Matthias Morzfeld, Derek J. Posselt
Abstract Global Bayesian optimization (GBO) is a derivative-free optimization method that is used widely in the tech-industry to optimize objective functions that are expensive to evaluate, numerically or otherwise. We discuss the use of GBO in ensemble data assimilation (DA), where the goal is to update the state of a numerical model in view of noisy observations. Specifically, we consider three tasks:
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An anisotropic formulation of the parametric Kalman filter assimilation Tellus A (IF 2.247) Pub Date : 2021-06-09 Olivier Pannekoucke
Abstract In geophysics, the direct application of covariance matrix dynamics described by the Kalman filter (KF) is limited by the high dimension of such problems. The parametric Kalman filter (PKF) is a recent alternative to the ensemble Kalman filter, where the covariance matrices are approximated by a covariance model featured by a set of parameters. The covariance dynamics is then described by
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Radiosonde comparison of ERA5 and ERA-Interim reanalysis datasets over tropical oceans Tellus A (IF 2.247) Pub Date : 2021-05-26 Meri Virman, Marja Bister, Jouni Räisänen, Victoria A. Sinclair, Heikki Järvinen
Abstract After the release of the ERA-Interim reanalysis, many changes have been made to the Integrated Forecasting System model and data-assimilation system, resulting in an improved reanalysis, ERA5. One of the changes in the model allows the model version in ERA5 to represent the moisture sensitivity of deep convection more realistically than the model version in ERA-Interim. A previous modeling
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Prediction of temporal atmospheric boundary layer height using long short-term memory network Tellus A (IF 2.247) Pub Date : 2021-05-19 Nishant Kumar, Kirti Soni, Ravinder Agarwal
Abstract Nowadays, the city’s rapid growth of industrialisation, population, human activities, vehicular traffic density, unplanned urbanisation with poor ventilation contributes to increasing large amount of pollutants concentration. Atmospheric Boundary Layer (ABL) height is a basic parameter to define the pollution carrying capacity of any area in a big city. In the time series analysis and prediction
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Coastal ocean forecasting on the GPU using a two-dimensional finite-volume scheme Tellus A (IF 2.247) Pub Date : 2021-05-17 André R. Brodtkorb, HÅvard Heitlo Holm
Abstract In this work, we take a modern high-resolution finite-volume scheme for solving the rotational shallow-water equations and extend it with features required to run real-world ocean simulations. Our contributions include a spatially varying north vector and Coriolis term required for large scale domains, moving wet-dry fronts, a static land mask, bottom shear stress, wind forcing, boundary conditions
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On the verification of the crossing-point forecast Tellus A (IF 2.247) Pub Date : 2021-05-10 Zied Ben Bouallègue
Abstract The crossing-point forecast is defined by the intersection between a forecast (conditional) and a climate (unconditional) cumulative probability distribution function. It is interpreted as the probabilistic worst-case scenario with respect to climatology. This article discusses a scoring function consistent for the crossing-point forecast where both forecasts and verifying observations are
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Identification of homogeneous rainfall regions in New South Wales, Australia Tellus A (IF 2.247) Pub Date : 2021-04-05 Shahid Khan, Ijaz Hussain, Attaur Rahman
Abstract Identifying homogeneous regions based on spatial variables is vital for providing a certain and fixed region's spatial and temporal behavior. However, a significant problem of non-separation rises when the geographic coordinates are utilized for clustering, just because the Euclidean distance is not suitable for clustering when considering the geographic coordinates. Therefore, this study
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Eigenvector-spatial localisation Tellus A (IF 2.247) Pub Date : 2021-04-05 Travis Harty, Matthias Morzfeld, Chris Snyder
Abstract We present a new multiscale covariance localisation method for ensemble data assimilation that is based on the estimation of eigenvectors and subsequent projections, together with traditional spatial localisation applied with a range of localisation lengths. In short, we estimate the leading, large-scale eigenvectors from the sample covariance matrix obtained by spatially smoothing the ensemble
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Impact of assimilating radar data using a hybrid 4DEnVar approach on prediction of convective events Tellus A (IF 2.247) Pub Date : 2021-03-26 Shibo Gao, Ningzhu Du, Jinzhong Min, Haiqiu Yu
Abstract This study developed a hybrid four-dimensional (4D) ensemble–variational (4DEnVar) radar data assimilation (DA) system for the Weather Research and Forecasting model. The 4DEnVar approach incorporated ensemble covariances at multiple time levels to assimilate observations distributed in the assimilation windows. By approximating the evolution of the background error using 4D ensemble covariance
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The Lorenz energy cycle: trends and the impact of modes of climate variability Tellus A (IF 2.247) Pub Date : 2021-03-22 Qiyun Ma, Valerio Lembo, Christian L.E. Franzke
Abstract The atmospheric circulation is driven by heat transport from the tropics to the polar regions, embedding energy conversions between available potential and kinetic energy through various mechanisms. The processes of energy transformations related to the dynamics of the atmosphere can be quantitatively investigated through the Lorenz energy cycle formalism. Here we examine these variations
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Eady edge waves, frontal wave-trains and type-B cyclogenesis Tellus A (IF 2.247) Pub Date : 2021-03-15 Huw C. Davies
Abstract Eady edge waves (EEWs) propagate on surface baroclinic zones and they resemble synoptic and sub-synoptic scale frontal wave-trains. The wave-trains are frequently depicted on surface charts, and occur per se on a front with a local baroclinicity extremum. The possible linkage of EEWs to frontal waves is explored within the framework of so-called ‘surface quasi-geostrophic dynamics’ by establishing
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Variational bias correction for Mode-S aircraft derived winds Tellus A (IF 2.247) Pub Date : 2021-03-06 Vivien Pourret, Jean-François Mahfouf, Vincent Guidard, Patrick Moll, Alexis Doerenbecher, Bruno Piguet
Abstract A variational bias correction (VarBC) technique is proposed within the three-dimensional variational (3D-Var) assimilation system of the Météo-France convective scale model AROME to remove biases present in horizontal wind components derived from aircraft Mode-S data. A set of two predictors derived from the geometry between ground and air speeds has been chosen in order to correct the aircraft
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Evaluation of the INM RAS climate model skill in climate indices and stratospheric anomalies on seasonal timescale Tellus A (IF 2.247) Pub Date : 2021-03-05 Vasilisa Vorobyeva, Evgeny Volodin
Abstract The study of winter seasonal predictability with the climate model INM-CM5-0 is presented. Initial conditions were produced using ERA-Interim reanalysis data for atmosphere, SODA3.4.2 reanalysis data for ocean and the bias-correction algorithm. The seasonal 5-month re-forecasts consisting of 10 ensemble members with small initial condition perturbations for each year over the 35-yr period
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Recent advances in polar low research: current knowledge, challenges and future perspectives Tellus A (IF 2.247) Pub Date : 2021-03-03 Marta Moreno-Ibáñez, René Laprise, Philippe Gachon
Abstract Polar lows (PLs) are high-latitude intense maritime mesoscale weather systems that develop over open water near the sea ice margin or near snow-covered continents during cold air outbreaks. PLs pose a threat to coastal and island communities, transportation and offshore drilling platforms. PLs mainly develop during the cold season and their frequency exhibits a large interannual variability
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The importance of simulated errors in observing system simulation experiments Tellus A (IF 2.247) Pub Date : 2021-02-22 Nikki C. PrivÉ, Ronald M. Errico, Will McCarty
Abstract Observing System Simulation Experiments (OSSEs) for numerical weather prediction rely on simulated observations that should include simulated observation errors in order to realistically represent the behaviour of real data. Real observations include many types of error, such as instrument error, representativeness error, and observation operator error, with some portion of this error being
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The relationship between the eddy-driven jet stream and northern European sea level variability Tellus A (IF 2.247) Pub Date : 2021-02-18 Fabio Mangini, Léon Chafik, Erica Madonna, Camille Li, Laurent Bertino, Jan Even Øie Nilsen
Abstract Wintertime sea level variability over the northern European continental shelf is largely wind-driven. Using daily gridded sea level anomaly from altimetry, we examine both the spatial and the temporal relationship between northern European sea level variability and large-scale atmospheric circulation patterns as represented by the jet cluster paradigm. The jet clusters represent different
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Lagrangian drift in a permeable bottom layer induced by internal gravity waves Tellus A (IF 2.247) Pub Date : 2021-02-13 Jan Erik H. Weber
Abstract The mean drift in a permeable homogeneous bottom layer caused by internal gravity waves in an overlying stratified fluid, is investigated theoretically. We apply a Lagrangian formulation, together with the long-wave approximation, for the motion in the fluid and the fluid-saturated permeable layer. In the stratified fluid, we assume a constant Brunt-Väisälä frequency and inviscid flow. In
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Scientific methods, media coverage, public awareness and climate change Tellus A (IF 2.247) Pub Date : 2021-02-09 A. Hannachi, H.-C. Hansson
(2021). Scientific methods, media coverage, public awareness and climate change. Tellus A: Dynamic Meteorology and Oceanography: Vol. 73, No. 1, pp. 1-2.
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Long range daily ocean forecasts in the Indo-Pacific oceans with ACCESS-S1 Tellus A (IF 2.247) Pub Date : 2021-02-01 Xiaobing Zhou, Oscar Alves
Abstract Currently most ocean forecast systems provide daily eddy resolving predictions 7 days or so in advance. We first investigate the potential for longer range daily ocean forecast up to 28 days using the coupled system ACCESS-S1 in which the ocean component is eddy permitting. The daily ocean forecasts over the hindcast period 1990–2012 in the Indo-Pacific oceans have been evaluated, using persistence
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The recent increase in central eastern China summer rainfall and its possible mechanism Tellus A (IF 2.247) Pub Date : 2021-02-03 Jae-Won Choi, Hae-Dong Kim
Abstract This study investigated interdecadal variations in summer rainfall in central eastern China before and after the mid-1990s. The mean difference in rainfall between the two epochs (average rainfall in the 1981–1995 period: 5.0 mm day−1; average rainfall in the 1996–2010 period: 6.0 mm day−1) was significant at the 95% confidence level. This study explored the cause of the recent increase in
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The recent increase in central eastern China summer rainfall and its possible mechanism Tellus A (IF 2.247) Pub Date : 2021-02-03 Jae-Won Choi, Hae-Dong Kim
Abstract This study investigated interdecadal variations in summer rainfall in central eastern China before and after the mid-1990s. The mean difference in rainfall between the two epochs (average rainfall in the 1981–1995 period: 5.0 mm day−1; average rainfall in the 1996–2010 period: 6.0 mm day−1) was significant at the 95% confidence level. This study explored the cause of the recent increase in
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Long range daily ocean forecasts in the Indo-Pacific oceans with ACCESS-S1 Tellus A (IF 2.247) Pub Date : 2021-02-01 Xiaobing Zhou, Oscar Alves
Abstract Currently most ocean forecast systems provide daily eddy resolving predictions 7 days or so in advance. We first investigate the potential for longer range daily ocean forecast up to 28 days using the coupled system ACCESS-S1 in which the ocean component is eddy permitting. The daily ocean forecasts over the hindcast period 1990–2012 in the Indo-Pacific oceans have been evaluated, using persistence
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Evaluating the scientific credentials of the supporters of public petitions denying anthropogenic climate change Tellus A (IF 2.247) Pub Date : 2021-01-25 Stefano Caserini, Sylvie Coyaud, Giulia Persico, Gabriele Messori
Abstract Notwithstanding the extensive media coverage of topics related to climate change, communication initiatives in open contradiction with the scientific understanding of climate change as a primarily anthropogenic phenomenon are still widespread. We focus here on a recent such initiative, which gained notoriety between the second half of 2019 and the first half of 2020. We show that its promoters
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Fractional integration analysis of precipitation dynamics: empirical insights from Nigeria Tellus A (IF 2.247) Pub Date : 2021-01-18 O.O. Awe, L.A. Gil-Alana
Abstract This paper deals with the time series analysis of precipitation patterns in Africa’s most populated nation using recently developed flexible modelling techniques to study the monthly precipitation data of some major economically viable and highly populated regions in Nigeria. The results indicate that there is a significant trend for Lagos rainfall data, implying that precipitations have systematically
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Bispectral analysis of nonlinear interaction, predictability and stochastic modelling with application to ENSO Tellus A (IF 2.247) Pub Date : 2021-01-07 Carlos A. L. Pires, Abdel Hannachi
Abstract Non-Gaussianity and nonlinearity have been shown to be ubiquitous characteristics of El Niño Southern Oscillation (ENSO) with implication on predictability, modelling, and assessment of extremes. These topics are investigated through the analysis of third-order statistics of El Niño 3.4 index in the period 1870–2018, namely bicovariance and bispectrum. Likewise, the spectral decomposition
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Bispectral analysis of nonlinear interaction, predictability and stochastic modelling with application to ENSO Tellus A (IF 2.247) Pub Date : 2021-01-01 Carlos A. L. Pires,Abdel Hannachi
Abstract Non-Gaussianity and nonlinearity have been shown to be ubiquitous characteristics of El Niño Southern Oscillation (ENSO) with implication on predictability, modelling, and assessment of extremes. These topics are investigated through the analysis of third-order statistics of El Niño 3.4 index in the period 1870–2018, namely bicovariance and bispectrum. Likewise, the spectral decomposition
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Some quantitative characteristics of error covariance for Kalman filters Tellus A (IF 2.247) Pub Date : 2020-12-30 Wei Kang, Liang Xu
Abstract Some quantitative characteristics of error covariance are studied for linear Kalman filters. These quantitative characteristics include the peak value and location in the matrix, the decay rate from peak to bottom, and some algebraic constraints of the elements in the covariance matrix. We mathematically prove a matrix upper bound and its quantitative characteristics for the error covariance
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On the diurnal cycle and variability of winds in the lower planetary boundary layer: evaluation of regional reanalyses and hindcasts Tellus A (IF 2.247) Pub Date : 2020-12-30 Ronny Petrik, Beate Geyer, Burkhardt Rockel
Abstract To accurately calculate the impact of renewables on power production in complex electric power grids, high-resolution and ideally seamless data within the planetary boundary layer are required. Therefore, the quality of different regional reanalyses and hindcasts is evaluated with respect to the representation of the planetery boundary layer and related sub-daily processes. On the one hand
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A preliminary assessment of the value and impact of multiple configurations of constellations of EON-MW, a proposed 12U microwave sounder CubeSat for global NWP Tellus A (IF 2.247) Pub Date : 2020-12-17 Yan Zhou, Narges Shahroudi, Tong Zhu, Flavio Iturbide-Sanchez, Eric S. Maddy, Sid-Ahmed Boukabara, Kayo Ide, Ross N. Hoffman
Abstract Observing system assessments were made for the Earth Observing Nanosatellite-Microwave (EON-MW), a 12U CubeSat analog of the Advanced Technology Microwave Sounder (ATMS). Since the EON-MW channels and sensor specifications closely follow those of ATMS, the sensor characteristics and geophysical capabilities assessments indicate that the value of information for humidity (temperature) of EON-MW
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A preliminary assessment of the value and impact of multiple configurations of constellations of EON-MW, a proposed 12U microwave sounder CubeSat for global NWP Tellus A (IF 2.247) Pub Date : 2020-12-17 Yan Zhou,Narges Shahroudi,Tong Zhu,Flavio Iturbide-Sanchez,Eric S. Maddy,Sid-Ahmed Boukabara,Kayo Ide,Ross N. Hoffman
Abstract Observing system assessments were made for the Earth Observing Nanosatellite-Microwave (EON-MW), a 12U CubeSat analog of the Advanced Technology Microwave Sounder (ATMS). Since the EON-MW channels and sensor specifications closely follow those of ATMS, the sensor characteristics and geophysical capabilities assessments indicate that the value of information for humidity (temperature) of EON-MW
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Climate persistence and memory Tellus A (IF 2.247) Pub Date : 2020-08-18 Jiangnan Li, Zhian Sun
Abstract The autocorrelation function (ACF) and its relationship to fluctuation analysis (FA) are discussed, based on the reanalysis monthly mean geopotential height at 500 hPa from ECMWF (ERA-20C). ACF provides a measure of the influence of correlation at different time points. The principal pattern ACF shows relatively large positive correlations between every consecutive years in the central Asian
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Climate persistence and memory Tellus A (IF 2.247) Pub Date : 2020-01-01 Jiangnan Li, Zhian Sun
Abstract The autocorrelation function (ACF) and its relationship to fluctuation analysis (FA) are discussed, based on the reanalysis monthly mean geopotential height at 500 hPa from ECMWF (ERA-20C). ACF provides a measure of the influence of correlation at different time points. The principal pattern ACF shows relatively large positive correlations between every consecutive years in the central Asian