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High-resolution climatic data are essential to many applications in environmental research. Here we develop a new semi-mechanistic downscaling approach for daily precipitation that incorporates high resolution (30 arc sec) satellite-derived…

Atmospheric and Oceanic Physics · Physics 2021-10-13 Dirk Nikolaus Karger , Adam M. Wilson , Colin Mahony , Niklaus E. Zimmermann , Walter Jetz

In applications of climate information, coarse-resolution climate projections commonly need to be downscaled to a finer grid. One challenge of this requirement is the modeling of sub-grid variability and the spatial and temporal dependence…

A data-driven model (DDM) suitable for regional weather forecasting applications is presented. The model extends the Artificial Intelligence Forecasting System by introducing a stretched-grid architecture that dedicates higher resolution…

Spatial maps of extreme precipitation are a critical component of flood estimation in hydrological modeling, as well as in the planning and design of important infrastructure. This is particularly relevant in countries such as Norway that…

Applications · Statistics 2014-05-27 Anita V. Dyrrdal , Alex Lenkoski , Thordis L. Thorarinsdottir , Frode Stordal

Holocene (the last 12,000 years) temperature variation, including the transition out of the last Ice Age to a warmer climate, is reconstructed at multiple locations in southern Finland, Sweden and Estonia based on pollen fossil data from…

Applications · Statistics 2015-11-06 Lasse Holmström , Liisa Ilvonen , Heikki Seppä , Siim Veski

Monitoring continental precipitation over Europe with high resolution (2 km, 15 minutes) has been possible since the operational production of the OPERA composites from the European weather radar networks. The OPERA data are the essential…

Atmospheric and Oceanic Physics · Physics 2019-04-08 Shinju Park , Marc Berenguer , Daniel Sempere-Torres

Historical weather records from Europe indicate that the Earth experienced substantial climate variability, which caused, for instance, the Little Ice Age and the global crisis in the period between the 14th and 19th centuries. However, it…

Atmospheric and Oceanic Physics · Physics 2023-10-06 Zeyu Lyu , Kohei Ichikawa , Yongchao Cheng , Hisashi Hayakawa , Yukiko Kawamoto

Diurnal temperature range is an important variable in climate science that can provide information regarding climate variability and climate change. Changes in diurnal temperature range can have implications for hydrology, human health and…

The DANish regional atmospheric ReAnalysis (DANRA) is a novel high-resolution (2.5 km) reanalysis dataset covering Denmark and its surrounding regions over a 34-year period (1990-2023). Denmark's complex coastline, with over 400 islands and…

Cloud seeding, a weather modification technique used to increase precipitation, has been practiced in the western United States since the 1940s. However, comprehensive datasets are not currently available to analyze these efforts. To…

Atmospheric and Oceanic Physics · Physics 2025-10-09 Jared Joseph Donohue , Kara D. Lamb

Evidence of past climate variations are stored in ice and indicate glacial-interglacial cycles characterized by three dominant time periods of 20kyr, 40kyr, and 100kyr. We study the scaling properties of temperature proxy records of four…

Statistical Mechanics · Physics 2015-06-24 Yosef Ashkenazy , Don R. Baker , Hezi Gildor , Shlomo Havlin

Train delays result from complex interactions between operational, technical, and environmental factors. While weather impacts railway reliability, particularly in Nordic regions, existing datasets rarely integrate meteorological…

Machine Learning · Computer Science 2026-01-26 Vinicius Pozzobon Borin , Jean Michel de Souza Sant'Ana , Usama Raheel , Nurul Huda Mahmood

In this paper, we present a semiparametric model for describing the effect of temperature on Antarctic ice accumulation on a paleoclimatic time scale. The model is motivated by sharp ups and downs in the rate of ice accumulation apparent…

Methodology · Statistics 2025-07-29 Radhendushka Srivastava , Debasis Sengupta

Analyzing and utilizing spatiotemporal big data are essential for studies concerning climate change. However, such data are not fully integrated into climate models owing to limitations in statistical frameworks. Herein, we employ VARENN…

Machine Learning · Statistics 2019-07-24 Takeshi Ise , Yurika Oba

The accurate prediction and estimation of annual snow accumulation has grown in importance as we deal with the effects of climate change and the increase of global atmospheric temperatures. Airborne radar sensors, such as the Snow Radar,…

Machine Learning · Computer Science 2023-06-26 Benjamin Zalatan , Maryam Rahnemoonfar

We present the CIENS dataset, which contains ensemble weather forecasts from the operational convection-permitting numerical weather prediction model of the German Weather Service. It comprises forecasts for 55 meteorological variables…

Atmospheric and Oceanic Physics · Physics 2025-08-07 Sebastian Lerch , Benedikt Schulz , Reinhold Hess , Annette Möller , Cristina Primo , Sebastian Trepte , Susanne Theis

Long and consistent sunspot area records are important for understanding the long-term solar activity and variability. Multiple observatories around the globe have regularly recorded sunspot areas, but such individual records only cover…

Solar and Stellar Astrophysics · Physics 2020-08-19 Sudip Mandal , Natalie A. Krivova , Sami K. Solanki , Nimesh Sinha , Dipankar Banerjee

The rather unique sub-tropical, flat, peninsular region of Florida is subject to a unique climate with extreme weather events across the year that impacts agriculture, public health, and management of natural resources. Meteorological data…

Atmospheric and Oceanic Physics · Physics 2023-10-26 Julie Peeling , Jasmeet Judge , Vasubandhu Misra , C. B. Jayasankar , Rick Lusher

Daily full-disk observations of the solar photosphere and chromosphere started at Meudon Observatory in 1908. After a review of the scientific context and the historical background, we describe the instrumental characteristics and…

Solar and Stellar Astrophysics · Physics 2020-01-09 J. -M. Malherbe , K. Dalmasse

We use a conditional deep convolutional generative adversarial network to predict the geopotential height of the 500 hPa pressure level, the two-meter temperature and the total precipitation for the next 24 hours over Europe. The proposed…

Atmospheric and Oceanic Physics · Physics 2020-06-16 Alexander Bihlo