Long-term spatiotemporal features of aerosol optical characteristics and relative humidity in China’s offshore areas by Jie He, Zhao Li, Linyu He, Jian Wang, Weiping Jiang

“…This paper addresses this issue by analyzing the spatiotemporal variations of aerosols in China’s offshore waters from 2007 to 2022 using Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) and European Centre of Medium-range Weather Forecasts Reanalysis v.5 (ERA5) data. The results show that in the sea area, the aerosol backscatter coefficient at 532 nm and extinction coefficient at 532 nm increase with increasing RH; the aerosol depolarization ratio decreases with increasing RH. …”
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EVALUATION OF SMARTNESS OF THE TOURISM DESTINATION WEBSITES OF THE KLAIPEDA REGION by Julius Ramanauskas, Šarūnas Banevičius, Putinas Bielskis

“…In the functionality parameter, synchronization with weather forecasts and monitoring of tourist data (traffic dynamics) received the lowest scores – 3.6 and 3.9 points respectively (on a 10-point scale). …”
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Correction of ERA5 temperature and relative humidity biases by bivariate quantile mapping for contrail formation analysis by K. Wolf, K. Wolf, N. Bellouin, N. Bellouin, O. Boucher, S. Rohs, Y. Li

“…Contrail formation is often estimated using the Schmidt–Appleman criterion (SAc) together with meteorological data from the European Centre for Medium-Range Weather Forecasts (ECMWF) ERA5 atmospheric reanalysis model. …”
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Assessment of Hydrologic Data Estimates From ERA5 Reanalyses in Benin, West Africa by René Bodjrènou, Luc Ollivier Sintondji, Yekambessoun M' Po N'Tcha, Diane Germain, Francis Esse Azonwade, Fernand Sohindji, Gilbert Hounnou, Edid Amouzouvi, Arthur Freud Segnon Kpognin, Françoise Comandan

“…ERA5 is a climate reanalysis product produced by the European Centre for Medium‐range Weather Forecasts (ECMWF) and is suggested to overcome this constraint. …”
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Wind Field Retrieval From Co-Polarized SAR Imagery Without External Wind Direction Assistance by Xianen Wei, Jinsong Chong, Yawei Zhao, Lijie Diao, Xuan Jin

“…Furthermore, we compared wind field retrieved from 54 co-polarized SAR images with European Center for Medium-Range Weather Forecasts (ECMWF), ASCAT, and buoy data. The root mean square error (RMSE) and the absolute value of Bias of wind direction comparison with ECMWF and ASCAT were both below 22<inline-formula><tex-math notation="LaTeX">$^{\circ }$</tex-math></inline-formula> and 1.8<inline-formula><tex-math notation="LaTeX">$^{\circ }$</tex-math></inline-formula>, respectively. …”
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Month-to-Month Variability of Autumn Sea Ice in the Barents and Kara Seas and Its Relationship to Winter Air Temperature in China by Chuhan Lu, Kaili Li, Shaoqing Xie, Zhaomin Wang, Yujing Qin

“…The variation of the autumn Arctic sea ice area and the relationship between the month-to-month sea ice and winter temperature anomalies in China are investigated using the Hadley Centre’s sea ice dataset (HadiSST) and the European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis dataset (ERA-Interim) during 1979–2018. …”
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Unveiling the effects of post-monsoon agricultural biomass burning on aerosols, clouds, and radiation in Northwest India by Pradeep Khatri, Tadahiro Hayasaka, Prabir K. Patra, Husi Letu, Hiren Jethva, Sachiko Hayashida

“…In this study, we aim to address this research gap by analyzing fire, meteorological parameters, aerosol, cloud, and radiation data spanning nearly two decades (2002–2021), obtained from the Moderate Resolution Imaging Spectroradiometer (MODIS) aboard the Aqua satellite, Modern-Era Retrospective Analysis Research and Applications, Version 2 (MERRA-2), and the Fifth Generation of European Centre for Medium-Range Weather Forecasts (ECMWF) Reanalysis (ERA5). Our analysis reveals a notable increase in agricultural biomass burning intensity in Northwest India over the past two decades, contributing significantly to air quality degradation. …”
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The Impact of the Urban Heat Island Effect on Ground-Level Ozone Pollution in the Sichuan Basin, China by Xingtao Song, Haoyuan Shi, Langchang Jin, Sijing Pang, Shenglan Zeng

“…Atmospheric pollution data for O₃ and NO₂ from 2020 were obtained from local environmental monitoring stations, while temperature and single-layer wind field data were sourced from ERA5-Land, a high-resolution atmospheric reanalysis dataset provided by the European Centre for Medium-Range Weather Forecasts (ECMWF). The results indicate the following: (1) O₃ concentrations in the Sichuan Basin exhibit distinct seasonal variations, with the highest levels in spring, followed by summer and autumn, and the lowest in winter. …”
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Surrogate-based model parameter optimization in simulations of the West African monsoon by M. Fischer, P. Knippertz, C. Proppe

“…As reference data, Integrated Multi-satellitE Retrievals for the Global Precipitation Measurement (GPM IMERG) mission are used for precipitation, and the ERA5 reanalysis data from the European Centre for Medium-Range Weather Forecasts are used for all other quantities. The multi-objective optimization problems are tackled through two strategies: (1) assignment of weights with uncertainties to the objectives based on expert opinion and (2) variation in these weights in order to assess their influence on the optimal values of the uncertain model parameters. …”
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The added value and potential of long-term radio occultation data for climatological wind field monitoring by I. Nimac, J. Danzer, G. Kirchengast, G. Kirchengast

“…In this study we focus on three main goals, explored through the fifth version of the European Centre for Medium-Range Weather Forecasts (ECMWF) Reanalysis (ERA5) and RO datasets, using monthly-mean January and July data over 2007–2020. …”
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ARMTRAJ: a set of multipurpose trajectory datasets augmenting the Atmospheric Radiation Measurement (ARM) user facility measurements by I. Silber, J. M. Comstock, M. R. Kieburtz, L. M. Russell

“…Trajectories are calculated using the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model informed by the European Centre for Medium-Range Weather Forecasts ERA5 reanalysis dataset at its highest spatial resolution (0.25°) and are initialized using ARM datasets. …”
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Optimasi Pertanian Padi: Peramalan Curah Hujan Berbasis Arima Untuk Penentuan Waktu Tanam Yang Tepat by Sofi Defiyanti, Betha Nurina Sari, Tesa Nur Padilah

“…This prediction aligns with the weather forecast from BMKG for the start of the rainy season in 2023/2024 in West Java. …”
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Daily time series of 12 human thermal stress indices in Greece, aggregated at commune level (1998–2022)Zenodo by Georgios Charvalis, Michalis Koureas, Chloe Brimicombe, Chara Bogogiannidou, Fani Kalala, Varbara Mouchtouri, Christos Hadjichristodoulou

“…The heat indices contained in the dataset include Apparent Temperature (AT), Heat Index (HI), Humidity Index (Humidex), Normal Effective Temperature (NET), Wet Bulb Globe Temperature (simple version WBGT), Wet Bulb Globe Temperature (thermofeelWBGT), Wet Bulb Temperature (WBT), Wind Chill Temperature (WCT), Mean Radiant Temperature (MRT), and Universal Thermal Climate Index (UTCI) with two variations (UTCI indoor and UTCI outdoor).To develop the dataset, we used hourly climate variables, acquired from the ERA5 and ERA5-Land datasets, produced by the European Centre for Medium-Range Weather Forecasts (ECMWF), which are accessible through the Copernicus Climate Change Service (C3S) Climate Data Store (CDS) Application Program Interface (API) client. …”
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The international multi-system OSEs/OSSEs by the UN Ocean Decade Project SynObs and its early results by Yosuke Fujii, Yosuke Fujii, Elisabeth Remy, Magdalena Alonso Balmaseda, Shoichiro Kido, Jennifer Waters, K. Andrew Peterson, Gregory C. Smith, Ichiro Ishikawa, Kamel Chikhar

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Assessment of rainfed wheat productivity in a changing climate in Irbid, Jordan using statistical downscaling and Random Forest Regression prediction under RCP4.5 &amp; 8.5 pathway... by Tasnim Dheif Allah Althalaj, Fayha Muhammed Al-Shibli, Amani Abdullah Alassaf

“…The study highlights the need for enhanced adaptation strategies; cultivating resilient wheat varieties, promoting crop rotation, improving meteorological monitoring and risk response approaches, and providing timely weather forecasts to mitigate the adverse effects of climate change on wheat productivity and ensure sustainable agriculture in Jordan.…”
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Global Navigation Satellite System (GNSS) radio occultation climatologies mapped by machine learning and Bayesian interpolation by E. Shehaj, E. Shehaj, S. Leroy, K. Cahoy, A. Geiger, L. Crocetti, G. Moeller, G. Moeller, B. Soja, M. Rothacher

“…We also simulate data taken from the atmospheric analyses produced by the European Centre for Medium-Range Weather Forecasts (ECMWF) in order to test the resolving power of BI and ML. …”
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Maternal exposure to ambient temperature and risk of preterm birth in Chengdu, China, from 2017 to 2020: a cohort study by Qiqi Huang, Xiong-Fei Pan, Shijiao Yan, Zhonghan Sun, Yuwei Lai, Yixiang Ye, Jiaying Yuan, Chuanzhu Lv, Rixing Wang, Xingyue Song

“…Meteorological data for Chengdu through the European Centre for Medium-Range Weather Forecasts. The main exposure assessment was conducted during eight different exposure windows, including the first three months of pregnancy, 7 weeks periods during the first two trimesters, throughout pregnancy, 1-week preceding delivery, and 4 weeks preceding delivery. …”
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Causes of growing middle-to-upper tropospheric ozone over the northwest Pacific region by X. Ma, X. Ma, J. Huang, J. Huang, M. I. Hegglin, M. I. Hegglin, P. Jöckel, T. Zhao

“…Utilizing the European Centre for Medium-Range Weather Forecasts (ECMWF) Hamburg (ECHAM)/Modular Earth Submodel System (MESSy) Atmospheric Chemistry (EMAC) nudged simulations, it is demonstrated that trends between model and ozonesonde measurements are overall consistent, thereby gaining confidence in the model's ability to simulate O<span class="inline-formula">₃</span> trends and confirming the utility of potentially imperfect observational data. …”
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A process-based evaluation of biases in extratropical stratosphere–troposphere coupling in subseasonal forecast systems by C. I. Garfinkel, Z. D. Lawrence, Z. D. Lawrence, A. H. Butler, E. Dunn-Sigouin, E. Dunn-Sigouin, I. Statnaia, A. Y. Karpechko, G. Koren, M. Abalos, B. Ayarzagüena, D. Barriopedro, N. Calvo, A. de la Cámara, A. Charlton-Perez, J. Cohen, D. I. V. Domeisen, D. I. V. Domeisen, J. García-Serrano, N. P. Hindley, M. Jucker, H. Kim, R. W. Lee, S. H. Lee, M. Osman, M. Osman, F. M. Palmeiro, I. Polichtchouk, J. Rao, J. H. Richter, C. Schwartz, S.-W. Son, M. Taguchi, N. L. Tyrrell, C. J. Wright, R. W.-Y. Wu

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HERA: a high-resolution pan-European hydrological reanalysis (1951–2020) by A. Tilloy, D. Paprotny, S. Grimaldi, G. Gomes, A. Bianchi, S. Lange, H. Beck, C. Mazzetti, L. Feyen

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