Upper-tropospheric pollutants observed by MIPAS: geographic and seasonal variations by N. Glatthor, G. P. Stiller, T. von Clarmann, B. Funke, S. Kellmann, A. Linden

Get full text

TEC Data Forecasting Using a Novel Nonlinear Model by Jun Wang, Bihua Zhou, Shudao Zhou

Get full text

An Approach to Refining MODIS LAI Data Using a Fitting Scale Factor Time Series by Junxian Tang, Peijuan Wang, Rui Feng, Yang Li, Qing Li

Get full text

The Ionospheric Effects of the 2022 Hunga Tonga Volcano Eruption and the Associated Impacts on GPS Precise Point Positioning Across the Australian Region by B. A. Carter, R. Pradipta, T. Dao, J. L. Currie, S. Choy, P. Wilkinson, P. Maher, R. Marshall, K. Harima, M. Le Huy, T. Nguyen Chien, T. Nguyen Ha, T. J. Harris

Get full text

Why are ELEvoHI CME Arrival Predictions Different if Based on STEREO‐A or STEREO‐B Heliospheric Imager Observations? by Jürgen Hinterreiter, Tanja Amerstorfer, Martin A. Reiss, Christian Möstl, Manuela Temmer, Maike Bauer, Ute V. Amerstorfer, Rachel L. Bailey, Andreas J. Weiss, Jackie A. Davies, Luke A. Barnard, Mathew J. Owens

Get full text

New probabilistic methods for quantitative climate reconstructions applied to palynological data from Lake Kinneret by T. Netzel, A. Miebach, T. Litt, A. Hense

Get full text

Investigating Two-dimensional Horizontal Mesh Grid Effects on the Eulerian Atmospheric Transport Model Using Artificial Neural Network by Amine Ajdour, Brahim Ydir, Houria Bouzghiba, Ishaq Dimeji Sulaymon, Anas Adnane, Dris Ben Hmamou, Kenza Khomsi, Jamal Chaoufi, Gábor Géczi, Radouane Leghrib

“…Transport chemistry models like CHIMERE operate deterministically, utilizing meteorological factors, emissions data, boundary conditions, and various physical processes such as transport and Horizontal Mesh-Grid to influence inputs and outputs. …”
Get full text

A Note on the Properties of Generalised Separable Spatial Autoregressive Process by Mahendran Shitan, Shelton Peiris

“…Spatial modelling has its applications in many fields like geology, agriculture, meteorology, geography, and so forth. In time series a class of models known as Generalised Autoregressive (GAR) has been introduced by Peiris (2003) that includes an index parameter δ. …”
Get full text

Solving Reaction-Diffusion and Advection Problems with Richardson Extrapolation by Tamás Mona, István Lagzi, Ágnes Havasi

Get full text

Solutions of Stiff Systems of Ordinary Differential Equations Using Residual Power Series Method by Mubashir Qayyum, Qursam Fatima

“…These systems encounter in mathematical biology, chemical reactions and diffusion process, electrical circuits, meteorology, mechanics, and vibrations. Analyzing and predicting such systems with conventional numerical techniques require more time and memory; still accurate solution is completely uneconomical and uncertain. …”
Get full text

La connaissance du climat au Brésil : entre le vernaculaire et le scientifique by Francisco Mendonça

“…The diffusion of the principle of the dynamic meteorology was one of the main aspects to the development of the study of the brazilian climates. …”
Get full text

Difference in the Sporadic E Layer Occurrence Ratio Between the Southern and Northern Low Magnetic Latitude Regions as Observed by COSMIC Radio Occultation Data by J. Niu

Get full text

HIDRA3: a deep-learning model for multipoint ensemble sea level forecasting in the presence of tide gauge sensor failures by M. Rus, M. Rus, H. Mihanović, M. Ličer, M. Ličer, M. Kristan

Get full text

Modulation of western North Pacific tropical cyclone decadal variability by the Victoria mode by Tao Wen, Jianping Li, Shifei Tu, Ruiqiang Ding, Quanjia Zhong, Xumin Li

Get full text

On the Regularity of the Entropy Solution of the Fractional-Semigeostrophic Equation Using Ultrafilters by Gilles Tamba Bokolo

“…This work lays the groundwork for future studies on fractional partial differential equations in geophysical contexts, potentially leading to more accurate predictive models in meteorology and oceanography.…”
Get full text

Corrigendum: Global empirical model of sporadic-E occurrence rates by Eli V. Parsch, Anthony L. Franz, Eugene V. Dao, Dong L. Wu, Nimalan Swarnalingam, Nimalan Swarnalingam, Cornelius C. J. H. Salinas, Daniel J. Emmons

Get full text

Ground-based contrail observations: comparisons with reanalysis weather data and contrail model simulations by J. Low, R. Teoh, J. Ponsonby, E. Gryspeerdt, M. Shapiro, M. E. J. Stettler

“…Here, we developed a methodology that utilises ground-based cameras for tracking and analysing young contrails (<span class="inline-formula">&lt;</span> 35 <span class="inline-formula">min</span>) formed under clear-sky conditions, comparing these observations against reanalysis meteorology and simulations from the contrail cirrus prediction model (CoCiP) with actual flight trajectories. …”
Get full text

Evaluating the Performance of Low-cost PM Sensors over Multiple COALESCE Network Sites by Vishal R. Dharaiya, Vasudev Malyan, Vikas Kumar, Manoranjan Sahu, Chandra Venkatraman, Pratim Biswas, Kajal Yadav, Diksha Haswani, Ramya Sunder Raman, Ruqia Bhat, Tanveer Ahmad Najar, Arshid Jehangir, Rohit P. Patil, G. Pandithurai, Sandeep Singh Duhan, Jitendra Singh Laura

Get full text

Macro-environment oscillation notably up risk of water quality degradation: A case study in Shanxi Reservoir, China by Wangwei Cai, Jihong Xia, Zewen Liu, Jiayi Zu, Shuyi Ji, Yue Wang, Qihua Wang

“…It can be influenced by the macro-processes of meteorology, hydrology, and pollution. However, the mechanism of macro-environment affect water quality risk still is unclear. …”
Get full text

Forecasting contrail climate forcing for flight planning and air traffic management applications: the CocipGrid model in pycontrails 0.51.0 by Z. Engberg, R. Teoh, T. Abbott, T. Dean, M. E. J. Stettler, M. L. Shapiro

“…We use the grid-based CoCiP to simulate contrails globally using 2019 meteorology and compare its forecast patterns with those from previous studies. …”
Get full text