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Statistical atmospheric downscaling of short-term extreme rainfall by neutral networks

Statistical atmospheric rainfall downscaling, that is, statistical estimation of local or regional rainfall on the basis of large-scale atmospheric circulation, has been advocated to make the output from global and regional climate models more accurate for a particular location or basin. Neural networks (NNs) have been used for such downscaling, but their application has proved problematic, mainly

Solar-climatic relationship and implications for hydrology

Research during the latest years has indicated a significant connection between climate and solar activity. Specifically, a relationship between Northern Hemisphere air temperature and sunspot cycle length (SCL) has been shown. By using monthly SCL and land air temperature from 1753-1990 (238 years) we show that this relationship also holds for a single observation point in south of Sweden. Using

Statistical atmospheric downscaling for rainfall estimation in Kyushu Island, Japan

The present paper develops linear regression models based on singular value decomposition (SVD) with the aim of downscaling atmospheric variables statistically to estimate average rainfall in the Chikugo River Basin, Kyushu Island, southern Japan, on a 12-hour basis. Models were designed to take only significantly correlated areas into account in the downscaling procedure. By using particularly pr

Forecasting discharge in Amazonia using artificial neural networks

The Amazon, located in northern South America, is the world's largest river basin, and covers an area of about 6.5 million km2. The observed interannual variability in precipitation and water availability during its main discharge season has been shown to be influenced by Pacific and Atlantic Ocean sea surface temperatures (SSTs). However, the links between large-scale atmospheric motion and local

Seasonal runoff forecast for northern South America : A statistical model

The variability of water availability in the Amazon Basin is highly related to the sea surface temperature (SST) pattern over the Atlantic and the Pacific Oceans. The possibility of forecasting this variability one season in advance is a necessity for the correct management of water in the region for water supply, energy production, and flood control. Here we present the development of a statistic

Interim Report on Gribshunden (1495) Excavations: 2019–2021

We present an interim archaeological report on the ship- wreck of the Danish-Norwegian flagship Gribshunden. Built in 1485, extensively employed by King Hans as his floating castle, and ultimately lost in June 1495 en route to Kalmar, the ship carried people and material selected to further the political goal of re-unifying the Nordic region. Three field campaigns led by Lund University and Blekin

Proteomic analysis shows decreased type I fibers and ectopic fat accumulation in skeletal muscle from women with PCOS

Background: Polycystic ovary syndrome's (PCOS) main feature is hyperandrogenism, which is linked to a higher risk of metabolic disorders. Gene expression analyses in adipose tissue and skeletal muscle reveal dysregulated metabolic pathways in women with PCOS, but these differences do not necessarily lead to changes in protein levels and biological function. Methods: To advance our understanding of

Symptoms during pregnancy in primiparous women with congenital heart disease

Background: As more women with congenital heart disease (CHD) are reaching childbearing age, it becomes more common for their symptoms to be evaluated during pregnancy. However, pregnancy-related symptoms are similar to those caused by heart disease. This study investigated the prevalence of factors associated with symptoms during pregnancy in women with CHD. Methods: The national birth register w

Low-power Acceleration of Convolutional Neural Networks using Near Memory Computing on a RISC-V SoC

The recent peak in interest for artificial intelligence, partly fueled by languagemodels such as ChatGPT, is pushing the demand for machine learning and dataprocessing in everyday applications, such as self-driving cars, where low latency iscrucial and typically achieved through edge computing. The vast amount of dataprocessing required intensifies the existing performance bottleneck of the datamo

Parity-conserving Cooper-pair transport and ideal superconducting diode in planar germanium

Superconductor/semiconductor hybrid devices have attracted increasing interest in the past years. Superconducting electronics aims to complement semiconductor technology, while hybrid architectures are at the forefront of new ideas such as topological superconductivity and protected qubits. In this work, we engineer the induced superconductivity in two-dimensional germanium hole gas by varying the