Results 31 to 40 of about 348,594 (257)
Modelling monsoons: understanding and predicting current and future behaviour [PDF]
, 2011 The global monsoon system is so varied and complex that understanding and predicting its diverse behaviour remains a challenge that will occupy modellers for many years to come.
Giannini, Alessandra +6 more
core +1 more source
Climate and Land Degradation [PDF]
, 2005 On the occasion of the Seventh session of the Conference of Parties, The World Meteorological Organization (WMO) has prepared this brochure which explains the role of different climatic factors in land degradation and WMO's contribution in addressing ...
core +1 more source
Integration of Active Solar Thermal Technologies in Greenhouses: A Mini Review
Frontiers in Energy Research, 2021 Traditional agricultural greenhouses have been used to grow vegetables in the winter without any auxiliary heating. However, crop production is highly influenced by soil and air temperatures, humidity, and solar radiation.
Ding Ding
doaj +1 more source
A virtual centre at the interface of basic and applied weather and climate research [PDF]
, 2014 The Hans-Ertel Centre for Weather Research is a network of German universities, research institutes and the German Weather Service (Deutscher Wetterdienst, DWD).
Bollmeyer, Christoph +11 more
core +1 more source
How Skillful are the Multiannual Forecasts of Atlantic Hurricane Activity? [PDF]
, 2018 The recent emergence of near-term climate prediction, wherein climate models are initialized with the contemporaneous state of the Earth system and integrated up to 10 years into the future, has prompted the development of three different multiannual ...
Caron, Louis-Philippe +5 more
core +2 more sources
Scientific Reports, 2019 The El Nino-Southern Oscillation (ENSO) is the dominant interannual variability of Earth’s climate system, and strongly modulates global temperature, precipitation, atmospheric circulation, tropical cyclones and other extreme events. However, forecasting
Jialin Lin, Taotao Qian
doaj +1 more source
Data-Driven Forecasting of High-Dimensional Chaotic Systems with Long Short-Term Memory Networks
, 2018 We introduce a data-driven forecasting method for high-dimensional chaotic systems using long short-term memory (LSTM) recurrent neural networks. The proposed LSTM neural networks perform inference of high-dimensional dynamical systems in their reduced ...
Byeon, Wonmin +4 more
core +1 more source
Multi-level Dynamical Systems: Connecting the Ruelle Response Theory and the Mori-Zwanzig Approach [PDF]
, 2012 In this paper we consider the problem of deriving approximate autonomous dynamics for a number of variables of a dynamical system, which are weakly coupled to the remaining variables.
A. Gritsun +39 more
core +2 more sources
Tracking Motor Progression and Device‐Aided Therapy Eligibility in Parkinson's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To characterise the progression of motor symptoms and identify eligibility for device‐aided therapies in Parkinson's disease, using both the 5‐2‐1 criteria and a refined clinical definition, while examining differences across genetic subgroups.
David Ledingham +7 more
wiley +1 more source
Machine-learning nowcasting of the Atlantic Meridional Overturning Circulation
APL Machine LearningThe Atlantic Meridional Overturning Circulation (AMOC) is a significant component of the global ocean system, which has so far ensured a relatively warm climate for the North Atlantic and mild conditions in regions, such as Western Europe.
Zheng-Meng Zhai +4 more
doaj +1 more source