A regional site response analysis of the Petobo area after the 2018.09.28 Palu–Donggala Indonesia earthquake using an equivalent-linear model by Rini Kusumawardani, Muhsiung Chang, Togani Cahyadi Upomo, Fernando Lopez-Caballero, Dadang Permana

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A evolução das ilhas de calor noturnas em Três Lagoas/MS no período de fevereiro a junho de 2019 by Juliana Carla Pereira de Freitas, Gislene Figueiredo Ortiz Porangaba, Mauro Henrique Soares da Silva

“…The present study aims at analyzing daily nocturnal climatological data from Três Lagoas from February 2nd to June 30th, 2019, based on the theory of the Urban Climate System (S.C.U.) by Monteiro (1975). …”
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Intensification of Natural Disasters in the State of Pará and the Triggering Mechanisms Across the Eastern Amazon by Everaldo B. de Souza, Douglas B. S. Ferreira, Luciano J. S. Anjos, Alan C. Cunha, João Athaydes Silva, Eliane C. Coutinho, Adriano M. L. Sousa, Paulo J. O. P. Souza, Waleria P. Monteiro Correa, Thaiane S. Silva Dias, Alexandre M. C. do Carmo, Carlos B. B. Gutierrez, Giordani R. C. Sodré, Aline M. M. Lima, Edson J. P. Rocha, Bergson C. Moraes, Luciano P. Pezzi, Tercio Ambrizzi

“…A clear seasonal pattern was observed, with Hydrological disasters (Inundations, Flash floods, and Heavy rainfall) peaking between February and May, while Climatological disasters (Droughts and Forest fires) were most frequent from August to October. …”
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Evaluation of CMIP5 Global Climate Models over the Volta Basin: Precipitation by Jacob Agyekum, Thompson Annor, Benjamin Lamptey, Emmannuel Quansah, Richard Yao Kuma Agyeman

“…The Community Earth System Model, version 1-Biogeochemistry (CESM1-BGC), the Community Climate System Model Version 4 (CCSM4), the Max Planck Institute Earth System Model, Medium Range (MPI-ESM-MR), the Norwegian Earth System Model (NorESM1-M), and the multimodel ensemble mean were able to simulate the observed climatological mean of the annual total precipitation well (average biases of 1.9% to 7.5%) and hence were selected for the seasonal and monthly timescales. …”
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LAND SUITABILITY ASSESSMENT FOR SOYBEAN (GLYCINE MAX) IN BARDAGHAT MUNICIPALITY USING GIS TECHNIQUES by Birendra Tiwar, Amrit Dumre, Mahesh Jaishi

“…The research findings underscored the critical importance of Climatological factors (58.115%), Topographical features (30.9%), and Edaphological conditions (10.94%) in determining the suitability of land for soybean production. …”
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An Empirical Model of the Occurrence Rate of Low Latitude Post‐Sunset Plasma Irregularities Derived From CHAMP and Swarm Magnetic Observations by C. Stolle, T. A. Siddiqui, L. Schreiter, S. K. Das, I. Rusch, M. Rother, E. Doornbos

“…Additionally, the reliability plots show proximity to the diagonal line with a decent Brier Skill Score (BSS) of 0.249, 0.210, and 0.267 for Swarm A, B, and C respectively at 15% climatological occurrence rate. These tests indicate that the model performs significantly better than a no‐skill forecast. …”
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A Reliable Generative Adversarial Network Approach for Climate Downscaling and Weather Generation by Neelesh Rampal, Peter B. Gibson, Steven Sherwood, Gab Abramowitz, Sanaa Hobeichi

“…CGANs are considerably more skillful in capturing climatological statistics, including the distribution and spatial characteristics of extreme events. …”
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Development of the Storm‐Induced Ionospheric Irregularities at Equatorial and Middle Latitudes During the 25–26 August 2018 Geomagnetic Storm by Iurii Cherniak, Irina Zakharenkova

“…The EPBs latitudinal extent largely exceeded climatological‐based expectations for solar minimum conditions; EPBs reached atypically high latitudes (20°–25° magnetic latitude [MLAT]) in the Pacific Ocean sector. …”
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The JAGUAR-DAS whole neutral atmosphere reanalysis: JAWARA by Dai Koshin, Kaoru Sato, Shingo Watanabe, Kazuyuki Miyazaki

“…The seasonal variations of zonal mean temperature and zonal wind are similar between JAWARA and the datasets used for comparison. The climatologies of zonal mean temperature, zonal wind, residual-mean circulation, and E-P flux in the meridional cross section are also broadly consistent with other reanalysis datasets. …”
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The potential for fuel reduction to reduce wildfire intensity in a warming California by Patrick T Brown, Scott J Strenfel, Richard B Bagley, Craig B Clements

“…We then place these weather snapshots in differing background climatological temperature and fuel characteristic conditions to quantify their independent and combined influence on FIP. …”
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Spatio-temporal rainfall variability and trends using a Kriging-interpolation and Innovative trend analysis approach: the case of Wolaita zone, south Ethiopia by Elias Bojago

“…This information is helpful when attempting to associate development and cropping systems with temporal and spatial climatic patterns with respect to rainfall for agro-climatological activities and projects or flood regulatory measures.…”
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Development of Downscaled Climate Projections: A Case Study of the Red River Basin, South-Central U.S. by Darrian Bertrand, Renee A. McPherson

“…This paper introduces a dataset of statistically downscaled climate projections of daily minimum and maximum temperature and daily precipitation that is a useful tool for studies regarding climatological and hydrological aspects in the region. …”
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Local-Scale Weather Forecasts over a Complex Terrain in an Early Warning Framework: Performance Analysis for the Val d’Agri (Southern Italy) Case Study by Giuseppe Giunta, Alessandro Ceppi, Raffaele Salerno

“…Available meteorological and climatological data, as well as critical thresholds of rainfall, may also have a key role in the hazard classification, related to slope instabilities of pipelines and critical infrastructures along routes. …”
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Assessment and Validation of Three Ionospheric Models (IRI‐2016, NeQuick2, and IGS‐GIM) From 2002 to 2018 by Jun Chen, Xiaodong Ren, Xiaohong Zhang, Jincheng Zhang, Liangke Huang

“…Abstract It is important to confirm the accuracy and reliability of commonly used ionosphere models climatologically. In this contribution, International Global Navigation Satellite System Global Ionospheric Maps (IGSG) and two empirical models, that is, NeQuick2 and IRI‐2016, are assessed in detail by applying different assessment methods, for example, Jason2/3 ionospheric data, difference of Slant Total Electron Content (dSTEC) data derived from Global Navigation Satellite System (GNSS) phase observation, and single‐frequency precise point positioning. …”
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Expected annual minima from an idealized moving-average drought index by J. H. Stagge, K. Sung, K. Sung, I. F. Munyejuru, M. A. I. Haidar

“…The study also distinguishes between theoretical values, as calculated here, and real-world exceedance probabilities, where there may be climatological autocorrelation beyond that created by the moving average.…”
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E‐CHAIM as a Model of Total Electron Content: Performance and Diagnostics by D. R. Themens, Ben Reid, P. T. Jayachandran, Bion Larson, A. V. Koustov, Sean Elvidge, A. M. McCaffrey, Chris Watson

“…Abstract Here, we assess to what extent the Empirical Canadian High Arctic Ionospheric Model (E‐CHAIM) can reproduce the climatological variations of vertical Total Electron Content (vTEC) in the Canadian sector. …”
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Strain accumulation in the Mentawai Forearc Sliver, Indonesia, inferred from continuous GNSS-derived strain rate by Leni Sophia Heliani, Cecep Pratama, Adi Wibowo, David Prambudi Sahara, Susilo Susilo, Sidik Tri Wibowo, Ayu Nur Safii, Oktadi Prayoga, Ajat Sudrajat, Mizan Bustanul Fuady Bisri, Evi Dwi Kurniasari, Sheilla Evelinda, Nicholas Genta Setiawan Gunawan

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Spatial Distribution of the Probability of Satisfying the Chill Requirements of Pistachio in Iran Using ERA5-Land Reanalysis Data by Ebrahim Asadi Oskouei, Saeedeh Kouzegaran, Mansoureh Kouhi, Hossein Hokmabadi, Mohsen Eslami

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Using multivariate generalized linear latent variable models to measure the difference in event count for stranded marine animals by R.E. Caraka, R.C. Chen, Y. Lee, T. Toharudin, C. Rahmadi, M. Tahmid, A.S. Achmadi

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Attributing heatwave-related mortality to climate change: a case study of the 2009 Victorian heatwave in Australia by Sarah E Perkins-Kirkpatrick, Linda Selvey, Philipp Aglas-Leitner, Nina Lansbury, Samuel Hundessa, Dáithí Stone, Kristie L Ebi, Nicholas John Osborne

“…We focus on excess heatwave- (defined by climatological definitions) related mortality in the state of Victoria that occurred during the 2009 southeast Australian heatwave. …”
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