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Revisiting reference evapotranspiration calculation under regional advection and its effect on single and dual crop coefficients: An empirical approach for quinoa crop Meteorol. Appl. (IF 2.7) Pub Date : 2024-03-16 Mohammad Hadi Razmavaran, Ali Reza Sepaskhah, Seyed Hamid Ahmadi
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Fog climatology at Shanghai Pudong International Airport Meteorol. Appl. (IF 2.7) Pub Date : 2024-03-13 Ran Hao, Rui Lyu, Xue Hao, Jun Yi, Weijie Wang, Tiantao Cheng, Bo Xu
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High performance computing to support land, climate, and user‐oriented services: The HIGHLANDER Data Portal Meteorol. Appl. (IF 2.7) Pub Date : 2024-03-13 Michele Bottazzi, Lucía Rodríguez‐Muñoz, Beatrice Chiavarini, Cinzia Caroli, Giuseppe Trotta, Chiara Dellacasa, Gian Franco Marras, Margherita Montanari, Monia Santini, Marco Mancini, Alessandro D'Anca, Paola Mercogliano, Mario Raffa, Giulia Villani, Fausto Tomei, Nicola Loglisci, Estíbaliz Gascón, Timothy Hewson, Giovanni Chillemi, Riccardo Valentini, Damiano Gianelle, Elena Massarenti, Martina Forconi
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Climatic interactions between cold surges in the South China Sea and North Pacific extratropical cyclones Meteorol. Appl. (IF 2.7) Pub Date : 2024-03-13 Lan Xia, Jialin Zhang, Yao Hu
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Development of an evaluation indicator for highway climate change adaptation projects based on analytical hierarchy process in South Korea Meteorol. Appl. (IF 2.7) Pub Date : 2024-03-08 Moon‐Soo Song, Sang‐Guk Yum, Hong‐Sic Yun, Sang‐Hoon Park, Sang‐Won Bae, Jae‐Joon Lee
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LD‐Net: A novel one‐stage knowledge distillation algorithm for lightning detection network Meteorol. Appl. (IF 2.7) Pub Date : 2024-02-23 Junjie Fu, Yingxiang Li, Jiawei Liu, Yulin Ji, Jiandan Zhong
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Literature survey of subseasonal‐to‐seasonal predictions in the southern hemisphere Meteorol. Appl. (IF 2.7) Pub Date : 2024-02-23 Steven Phakula, Willem A. Landman, Christien J. Engelbrecht
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Probabilistic skill of statistically downscaled ECMWF S2S forecasts of maximum and minimum temperatures for weeks 1–4 over South Africa Meteorol. Appl. (IF 2.7) Pub Date : 2024-02-21 Steven Phakula, Willem A. Landman, Christien J. Engelbrecht
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A seamless blended multi‐model ensemble approach to probabilistic medium‐range weather pattern forecasts over the UK Meteorol. Appl. (IF 2.7) Pub Date : 2024-02-19 Robert Neal, Joanne Robbins, Ric Crocker, Dave Cox, Keith Fenwick, Jonathan Millard, Jason Kelly
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Contrasting trends of carbon emission from savanna and boreal forest fires during 1999–2022 Meteorol. Appl. (IF 2.7) Pub Date : 2024-02-15 Yunfan Liu, Aijun Ding
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Environmental ingredients that lead to tornado outbreak and tornado failure: A comparison between two similar recurving tropical cyclones Meteorol. Appl. (IF 2.7) Pub Date : 2024-02-12 Zhaoming Li, Lanqiang Bai, Hongxing Chu, Xianxiang Huang
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Study and application on the optimal quantile forecast of precipitation in an ensemble forecast system Meteorol. Appl. (IF 2.7) Pub Date : 2024-01-18 Lianglyu Chen, Yu Xia
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Temporal evolution and source apportionment of BC aerosols during autumn in the grassland of Ordos, China Meteorol. Appl. (IF 2.7) Pub Date : 2024-01-16 Yanhong Li, Jinwen Zhang, Qiyong Duan, Xiangchen Kong, Honglei Wang
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WRF prediction of an atmospheric river-related precipitation event: Sensitivity to cumulus parameterization schemes Meteorol. Appl. (IF 2.7) Pub Date : 2024-01-08 Mohammad Amin Maddah, Suleiman Mostamandi
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Signals of change in the Campania region rainfall regime: An analysis of extreme precipitation indices (2002–2021) Meteorol. Appl. (IF 2.7) Pub Date : 2023-12-21 Vincenzo Capozzi, Armando Rocco, Clizia Annella, Viviana Cretella, Giannetta Fusco, Giorgio Budillon
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Skilful sub-seasonal forecasts of aggregated temperature over Europe Meteorol. Appl. (IF 2.7) Pub Date : 2023-12-17 Laura Baker, Andrew Charlton-Perez, Kanzis L. Mattu
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The effect of data sources on calculating mean temperature and integrated water vapor in Iran Meteorol. Appl. (IF 2.7) Pub Date : 2023-12-13 Hassan Rahimi, Jamal Asgari, Vahab Nafisi
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Spatio-temporal risk analysis of agriculture and meteorological droughts in rainfed Potohar, Pakistan, using remote sensing and geospatial techniques Meteorol. Appl. (IF 2.7) Pub Date : 2023-12-10 Muhammad Arif Goheer, Bibi Aftab, Humera Farah, Sher Shah Hassan
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Can meteorological model forecasts initialize hydrological simulations rather than observed data in ungauged basins? Meteorol. Appl. (IF 2.7) Pub Date : 2023-11-28 Alessandro Ceppi, Nicolás Andrés Chaves González, Silvio Davolio, Giovanni Ravazzani
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A new framework for using weather-sensitive surplus power reserves in critical infrastructure Meteorol. Appl. (IF 2.7) Pub Date : 2023-11-23 James Fallon, David Brayshaw, John Methven, Kjeld Jensen, Louise Krug
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Future projections of wet snow accretion and snowfall in Kanto Plain, Japan, using a large ensemble climate simulation Meteorol. Appl. (IF 2.7) Pub Date : 2023-11-23 Yuki Asano, Hiroyuki Kusaka, Masaru Inatsu
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Improving seasonal prediction of summer rainfall over southern China using the BCC_CSM1.1m model-circulation increment-based dynamic statistical technique Meteorol. Appl. (IF 2.7) Pub Date : 2023-11-22 Fang Zhou, Weiming Han, Dapeng Zhang, Rong Cao
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Assessing the weather conditions for urban cyclists by spatially dense measurements with an agent-based approach Meteorol. Appl. (IF 2.7) Pub Date : 2023-11-16 Amelie U. Schmitt, Finn Burgemeister, Henning Dorff, Tobias Finn, Akio Hansen, Bastian Kirsch, Ingo Lange, Jule Radtke, Felix Ament
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Low-cost air quality monitoring networks for long-term field campaigns: A review Meteorol. Appl. (IF 2.7) Pub Date : 2023-11-15 F. Carotenuto, A. Bisignano, L. Brilli, G. Gualtieri, L. Giovannini
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Improving prediction of mountain snowfall in the southwestern United States using machine learning methods Meteorol. Appl. (IF 2.7) Pub Date : 2023-11-14 Charles Andrew Hoopes, Christopher L. Castro, Ali Behrangi, Mohammed Reza Ehsani, Patrick Broxton
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Statistical post-processing of visibility ensemble forecasts Meteorol. Appl. (IF 2.7) Pub Date : 2023-10-27 Sándor Baran, Mária Lakatos
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Modification of standardized precipitation index in different climates of Iran Meteorol. Appl. (IF 2.7) Pub Date : 2023-10-25 Mehdi Nadi, Saeid Shiukhy Soqanloo
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Influence of climatic conditions on Normalized Difference Vegetation Index variability in forest in Poland (2002–2021) Meteorol. Appl. (IF 2.7) Pub Date : 2023-10-25 Kinga Kulesza, Agata Hościło
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Performance variations of global precipitation products in detecting drought episodes in three wet seasons in Ethiopia: Part II—statistical analysis Meteorol. Appl. (IF 2.7) Pub Date : 2023-10-25 Mekonnen Adnew Degefu, Woldeamlak Bewket
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Comparison between statistical and dynamical downscaling of rainfall over the Gwadar-Ormara basin, Pakistan Meteorol. Appl. (IF 2.7) Pub Date : 2023-10-24 Raazia Attique, Tom Rientjes, Martijn Booij
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Testing the suitability of Marginal Distribution Sampling as a gap-filling method using some meteorological data from seven sites in West Africa Meteorol. Appl. (IF 2.7) Pub Date : 2023-10-21 Djidjoho Renaud Roméo Koukoui, Ossénatou Mamadou, Miriam Hounsinou, Basile Kounouhéwa
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Verification of satellite and model products against a dense rain gauge network for a severe flooding event in Kumasi, Ghana Meteorol. Appl. (IF 2.7) Pub Date : 2023-09-26 Jacob Agyekum, Leonard K. Amekudzi, Thorwald Stein, Jeffrey N. A. Aryee, Winifred Ayinpogbilla Atiah, Elijah Adesanya Adefisan, Sylvester K. Danuor
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Detecting agricultural drought risks: A case study of the rice crop (Oryza sativa) and the TAMSAT-ALERT system in Guyana Meteorol. Appl. (IF 2.7) Pub Date : 2023-09-24 Donessa L. David
Drought-related risks pose a threat to the agricultural sector of Guyana despite the country's wealth of freshwater resources. As a result, the advancement of the understanding of soil moisture deficits as a means of forecasting agricultural drought is needed to aid farmers, extension officers, and other agricultural decision-makers. Hence, this study has been motivated by the following research question:
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Understanding your audience: The influence of social media user-type on informational behaviors and hazard adjustments during Hurricane Dorian Meteorol. Appl. (IF 2.7) Pub Date : 2023-09-20 Amber Silver, Brandon Behlendorf
In 2019, Hurricane Dorian affected Atlantic Canada with widespread impacts across the region. In the days preceding landfall, there was a great deal of discussion about the storm and its potential impacts. This discussion also extended onto Twitter, which provided a platform for users to engage with storm-related information. In this research, we disseminated a questionnaire to residents of Atlantic
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Projection of future precipitation change using CMIP6 multimodel ensemble based on fusion of multiple machine learning algorithms: A case in Hanjiang River Basin, China Meteorol. Appl. (IF 2.7) Pub Date : 2023-09-20 Dong Wang, Jiahong Liu, Qinghua Luan, Weiwei Shao, Xiaoran Fu, Hao Wang, Yanling Gu
Projecting precipitation changes is essential for researchers to understand climate change impacts on hydrological cycle. This study projected future precipitation over the Hanjiang River Basin (HRB) based on the multimodel ensemble (ME) of six global climate models from Phase 6 of the Coupled Model Intercomparison Project (CMIP6). An ME method using the fusion of four machine learning (ML) algorithms
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Rainy season and crop calendars comparison between past (1950–2018) and future (2030–2100) in Madagascar Meteorol. Appl. (IF 2.7) Pub Date : 2023-09-12 Luc Yannick Andréas Randriamarolaza, Enric Aguilar
This paper analyzes rainfall data to characterize the rainy season and define rice and maize crop calendars for current and future conditions in Madagascar. The daily rainfall data are taken from observational climate records and climate model simulations from the CMIP6 under the SSP245 and SSP585 scenarios. Rainy season characteristics are calibrated to fit rice and maize crop growth stages. The comparison
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Climate zones in Iran Meteorol. Appl. (IF 2.7) Pub Date : 2023-09-12 Mohammad Saeed Najafi, Omid Alizadeh
Climate classification provides a framework for a better understanding of the dominant weather patterns in different regions of the Earth. This study aims at identifying climate zones in Iran based on the analysis of monthly temperature and precipitation over 139 synoptic stations across Iran during the period 1991–2020. Based on the application of the principal component analysis, we identified six
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C3S Energy: A climate service for the provision of power supply and demand indicators for Europe based on the ERA5 reanalysis and ENTSO-E data Meteorol. Appl. (IF 2.7) Pub Date : 2023-09-11 Laurent Dubus, Yves-Marie Saint-Drenan, Alberto Troccoli, Matteo De Felice, Yohann Moreau, Linh Ho-Tran, Clare Goodess, Rodrigo Amaro e Silva, Luke Sanger
The EU Copernicus Climate Change Service (C3S) has produced an operational climate service, called C3S Energy, designed to enable the energy industry and policymakers to assess the impacts of climate variability and climate change on the energy sector in Europe. The C3S Energy service covers different time horizons, for the past 40 years and the future. It provides time series of electricity demand
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Verification of multiresolution model forecasts of heavy rainfall events from 23 to 26 August 2017 over Nigeria Meteorol. Appl. (IF 2.7) Pub Date : 2023-08-29 Imoleayo E. Gbode, Vincent O. Ajayi, Elijah A. Adefisan, Emmanuel C. Okogbue, Carlo Cafaro, Eniola A. Olaniyan, Stephen B. Ogungbenro, Ayodeji Oluleye, Kamoru A. Lawal, Jerome A. Omotosho, Thorwald Stein
The study uses numerical weather prediction models to predict the occurrence of heavy convective rainfall associated with the passage of the African Easterly Wave (AEW) during the period 23–26 August 2017 over Nigeria. Fraction skill score (FSS) and method for object-based diagnostic evaluation (MODE) verification techniques were applied to verify how well the models predict the high-impact event and
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Optimizing convection-permitting ensemble via selection of the coarse ensemble driving members Meteorol. Appl. (IF 2.7) Pub Date : 2023-08-28 Pavel Khain, Alon Shtivelman, Yoav Levi, Anat Baharad, Eyal Amitai, Yizhak Carmona, Elyakom Vadislavsky, Amit Savir, Nir Stav
Nowadays, several global ensembles (GEs) which consist of several tens of members are being run operationally. In order to locally improve the probabilistic forecasts, various forecasting centers and research institutes utilize the GEs as initial and boundary conditions to drive regional convection permitting ensembles (RCPEs). RCPEs demand significant computer resources and often a limited number
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Drought monitoring performance of global precipitation products in three wet seasons in Ethiopia: Part I—Quasi-objective examination Meteorol. Appl. (IF 2.7) Pub Date : 2023-08-14 Mekonnen Adnew Degefu, Woldeamlak Bewket
The need for representative and accurate climate data such as precipitation useful for drought monitoring has been rapidly increasing among policymakers and practitioners to tackle climate-change-induced drought events. Hence, the objective of this article is to evaluate the drought monitoring performance of global precipitation products for the three wet seasons and rainfall regions in Ethiopia. Drought
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Improving the blend of multiple weather forecast sources by Reliability Calibration Meteorol. Appl. (IF 2.7) Pub Date : 2023-07-31 Fiona M. Rust, Gavin R. Evans, Benjamin A. Ayliffe
Creating a forecast that is seamless across time yet is optimal at each forecast validity time is often achieved by blending forecasts from multiple Numerical Weather Prediction models (or using other forecast sources, such as an extrapolation nowcast). With the increasing usage of convection-permitting ensemble models at shorter lead times, the blending of these forecasts with longer-range ensemble
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Meteorological conditions during periods of low wind speed and insolation in Germany: The role of weather regimes Meteorol. Appl. (IF 2.7) Pub Date : 2023-07-21 Fabian Mockert, Christian M. Grams, Tom Brown, Fabian Neumann
Renewable power generation from wind and solar energy is strongly dependent on the weather. To plan future sustainable energy systems that are robust to weather variability, a better understanding of why and when periods of low wind and solar power output occur is valuable. We call such periods of low wind speed and insolation “Dunkelflauten”, the German word for “dark wind lulls”. In this article
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Rainstorm and high-temperature disaster risk assessment of territorial space in Beijing, China Meteorol. Appl. (IF 2.7) Pub Date : 2023-07-21 Chen Cheng, Xiaoyi Fang, Mingcai Li, Yuanhui Yang, Ya Gao, Shuo Zhang, Ying Yu, Yonghong Liu, Wupeng Du
It is important for territorial spatial planning to master meteorological disaster risk under the conditions of climate change and then carry out risk adaptation planning according to local conditions. Taking Beijing, a large city in China, as an example, a meteorological disaster risk assessment model was established based on the framework of hazard factors, disaster-bearing body exposure, and vulnerability
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An improved GNSS remote sensing technique for 3D distribution of tropospheric water vapor Meteorol. Appl. (IF 2.7) Pub Date : 2023-07-18 Ankang Long, Shirong Ye, Pengfei Xia
Water vapor plays an extremely important role in the monitoring and prediction of weather, and GNSS tomography can obtain 3D spatiotemporal change information and reliable water vapor profiles. In this paper, an improved global navigation satellite system (GNSS) tropospheric tomography technique using an ERA5 (the fifth generation ECMWF reanalysis) product is developed. First, the ERA5 product was
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Novel evaluation of sub-seasonal precipitation ensemble forecasts for identifying high-impact weather events associated with the Indian monsoon Meteorol. Appl. (IF 2.7) Pub Date : 2023-07-13 Seshagiri Rao Kolusu, Marion Mittermaier, Joanne Robbins, Raghavendra Ashrit, Ashis K. Mitra
We assess the skill of the fully coupled lagged ensemble forecasts from GloSea5-GC2, for the sub-seasonal to seasonal (S2S) timescale up to 4 weeks, with the aim of understanding how these forecasts might be used in a Ready-Set-Go style decision-making framework. Integrated Multi-satellite Retrievals for Global Precipitation Measurement (IMERG-GPM) are used to seamlessly verify these ensemble forecasts
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Greenland ice sheet rainfall climatology, extremes and atmospheric river rapids Meteorol. Appl. (IF 2.7) Pub Date : 2023-07-11 Jason E. Box, Kristian P. Nielsen, Xiaohua Yang, Masashi Niwano, Adrien Wehrlé, Dirk van As, Xavier Fettweis, Morten A. Ø. Køltzow, Bolli Palmason, Robert S. Fausto, Michiel R. van den Broeke, Baojuan Huai, Andreas P. Ahlstrøm, Kirsty Langley, Armin Dachauer, Brice Noël
Greenland rainfall has come into focus as a climate change indicator and from a variety of emerging cryospheric impacts. This study first evaluates rainfall in five state-of-the-art numerical prediction systems (NPSs) (CARRA, ERA5, NHM-SMAP, RACMO, MAR) using in situ rainfall data from two regions spanning from land onto the ice sheet. The new EU Copernicus Climate Change Service (C3S) Arctic Regional
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Towards nowcasting in Europe in 2030 Meteorol. Appl. (IF 2.7) Pub Date : 2023-07-05 Stephan Bojinski, Dick Blaauboer, Xavier Calbet, Estelle de Coning, Frans Debie, Thibaut Montmerle, Vesa Nietosvaara, Katie Norman, Luis Bañón Peregrín, Franziska Schmid, Nataša Strelec Mahović, Kathrin Wapler
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Variability in the occurrence of thermal seasons in Poland in 1961–2020 Meteorol. Appl. (IF 2.7) Pub Date : 2023-07-03 Marek Kejna, Aleksandra Pospieszyńska
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Wind observations from hot-air balloons and the application in an NWP model Meteorol. Appl. (IF 2.7) Pub Date : 2023-07-03 Evert I. F. de Bruijn, Fred C. Bosveld, Siebren de Haan, Gert-Jan Marseille, Albert A. M. Holtslag
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Research on rainbow probabilistic forecast model based on meteorological conditions in ZhaoSu region Meteorol. Appl. (IF 2.7) Pub Date : 2023-06-29 Jing Liu, Jin Yu, Shen Lin, Guodong Zhang, Shuo Zhang, Min Li, Xiaoyue Lin
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Nowcast for cloud top height from Himawari-8 data based on deep learning algorithms Meteorol. Appl. (IF 2.7) Pub Date : 2023-06-25 Zhuofu Yu, Zhonghui Tan, Shuo Ma, Wei Yan
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Assimilation of data from the MWHS-II onboard the first early morning satellite FY-3E into the CMA global 4D-Var system Meteorol. Appl. (IF 2.7) Pub Date : 2023-06-21 Hongyi Xiao, Wei Han, Peng Zhang, Yihong Bai
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Editorial: Atmospheric processes and applications in urban, coastal and mountainous terrain Meteorol. Appl. (IF 2.7) Pub Date : 2023-05-28 Meinolf Kossmann, Lorenzo Giovannini
This editorial introduces the contributions to the Special Issue ‘Atmospheric processes and applications in urban, coastal, and mountainous terrain’ of the journal Meteorological Applications. The scientific background and motivation for this Special Issue are described and followed by a brief summary of the 15 articles of this Special Issue. The conclusions of this Editorial summarise the approaches
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Enhancing power distribution network operational resilience to extreme wind events Meteorol. Appl. (IF 2.7) Pub Date : 2023-04-26 Daniel L. Donaldson, Emma J.S. Ferranti, Andrew D. Quinn, Dilan Jayaweera, Thomas Peasley, Mark Mercer
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Effects of COVID-19 lockdown measures on nitrogen dioxide and black carbon concentrations close to a major Italian motorway Meteorol. Appl. (IF 2.7) Pub Date : 2023-04-25 Elena Bertazza, Andrea Bisignano, Marco Falocchi, Lorenzo Giovannini
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Upper tropospheric cloud-radiation interaction induced by monsoon surge over the South China Sea Meteorol. Appl. (IF 2.7) Pub Date : 2023-04-13 Shunya Koseki, Ricardo Fonseca, Tieh-Yong Koh, Chee-Kiat Teo
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A study on the forecast model of winter precipitation type in Liaocheng based on physical parameters Meteorol. Appl. (IF 2.7) Pub Date : 2023-04-05 Weiheng Shi, Youbin Hu
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Evaluation of methods of estimating time-optimal flight routes in a changing climate Meteorol. Appl. (IF 2.7) Pub Date : 2023-03-29 Jacob C. H. Cheung, Cathie A. Wells, Edward C. C. Steele