Results 101 to 110 of about 1,256,874 (342)

Linking weather regimes to the variability of warm-season tornado activity over the United States [PDF]

Weather and Climate Dynamics
The contiguous United States (CONUS) experiences considerable variability in tornado activity on seasonal timescales. The high impacts of tornadoes in the CONUS motivate the need to better understand the link between seasonal tornado activity and large ...
M. Graber, Z. Wang, R. J. Trapp
doaj   +1 more source

The Spatial Coherence of European Droughts – Final Report [PDF]

, 2009
Drought can cause serious problems across much of Europe. Many droughts are localised and short, but others are widespread and cause environmental and social effects that cross international boundaries.
Hannaford, Jamie, Keef, Caroline, Lloyd-Hughes, Benjamin, Parry, Simon, Prudhomme, Christel   +4 more
core  

Tropospheric ozone and El Niño–Southern Oscillation: Influence of atmospheric dynamics, biomass burning emissions, and future climate change [PDF]

, 2006
We investigate how El Niño Southern Oscillation (ENSO) influences tropospheric ozone and its precursors in a coupled climate-chemistry model. As shown in similar studies, tropospheric column ozone (TCO) decreases in the central and east Pacific and ...
C. E. Johnson, Chandra, Chandra, Collins, Collins, Collins, Collins, Cooke, Cox, Cubasch, D. S. Stevenson, Dai, Dentener, Doherty, Doherty, Duncan, Fujiwara, Fujiwara, Gregory, Johns, Johnson, Knutson, Labrador, Li, M. G. Sanderson, Nakićenović, North, Osborn, Peters, Pickering, Pope, Prather, Price, R. M. Doherty, Sanderson, Sanderson, Stevenson, Stevenson, Stevenson, Stevenson, Stevenson, Sudo, Thompson, Timmermann, Valks, W. J. Collins, Williams, Xie, Yevich, Zeng, Ziemke, Ziemke   +51 more
core   +1 more source

Performance Monitoring of Photovoltaic Modules Using Machine‐Learning‐Based Solutions: A Survey of Current Trends

Energy Science &Engineering, EarlyView.
The graphical abstract presents the concept of applying machine‐learning algorithms to assess the performance of photovoltaic modules. Data from solar panels are fed to surrogates of intelligent models, to assess the following performance metrics: identifying faults, quantifying energy production and trend degradation over time. The combination of data
Nangamso Nathaniel Nyangiwe, Abraham Dimitri Kapim Kenfack, Nicolas Thantsha, Mandla Msimanga   +3 more
wiley   +1 more source

Evaluation of MODIS LAI/FPAR product Collection 6. Part 1: consistency and improvements [PDF]

, 2016
As the latest version of Moderate Resolution Imaging Spectroradiometer (MODIS) Leaf Area Index (LAI) and Fraction of Photosynthetically Active Radiation (FPAR) products, Collection 6 (C6) has been distributed since August 2015.
Chen, Chi, Knyazikhin, Yuri, Liu, Zhao, Myneni, Ranga B., Nemani, Ramakrishna R., Park, Taejin, Yan, Guangjian, Yan, Kai, Yang, Bin   +8 more
core   +2 more sources

Predicting Parameters Affecting Building Energy Consumption Using Machine Learning Models

Energy Science &Engineering, EarlyView.
This framework integrates long‐term weather forecasting with building energy simulation to predict energy demand. The CNN–LSTM model achieved the highest accuracy (R2 ≈ 0.95), supporting smart HVAC control with ~ 15% energy savings. ABSTRACT The rapid growth of population and the construction industry have led to an increase in energy demand and an ...
Bassam Musheer Kareem, Abdolsalam Ebrahimpour, Jafar Ghafouri, Roghayyeh Motallebzadeh   +3 more
wiley   +1 more source

Atypical seasonal variability of the Kuroshio Current in 2018

Frontiers in Marine Science
IntroductionUsing three moorings deployed at 122.7°E, 123°E, and 123.3°E along 18°N from January 2018 to May 2020, this study investigates the seasonal variability of the Kuroshio Current (KC).MethodsSensitive experiments were conducted with the Regional
Fujun Wang, Fujun Wang, Linlin Zhang, Linlin Zhang, Junqiao Feng, Junqiao Feng, Qingye Wang, Qingye Wang, Dunxin Hu, Dunxin Hu   +9 more
doaj   +1 more source

Pelagic ecosystem response to interannual variability off Baja California

Ciencias Marinas, 2008
Seasonal anomalies of salinity, phytoplankton chlorophyll a, and zooplankton volume off Baja California were examined from data obtained during 2001–2007.
G Gaxiola-Castro, R Durazo, B Lavaniegos, ME De La Cruz-Orozco, E Millán-Nuñez, L Soto-Mardones, J Cepeda-Morales   +6 more
doaj   +1 more source

Seasonal prediction of global sea level anomalies using an ocean–atmosphere dynamical model

Climate Dynamics, 2014
Advanced warning of extreme sea level events is an invaluable tool for coastal communities, allowing the implementation of management policies and strategies to minimise loss of life and infrastructure damage.
Elaine R. Miles, C. Spillman, J. Church, P. McIntosh   +3 more
semanticscholar   +1 more source

Evaluation of a global soil moisture product from finer spatial resolution sar data and ground measurements at Irish sites [PDF]

, 2014
In the framework of the European Space Agency Climate Change Initiative, a global, almost daily, soil moisture (SM) product is being developed from passive and active satellite microwave sensors, at a coarse spatial resolution.
Barrett, Brian, Dwyer, Edward, Gruber, Alexander, Kiely, Gerald, Pratola, Chiara   +4 more
core   +3 more sources