Results 11 to 20 of about 96,674 (258)

Higher-Order Convolutional Neural Networks for Essential Climate Variables Forecasting

Remote Sensing
Earth observation imaging technologies, particularly multispectral sensors, produce extensive high-dimensional data over time, thus offering a wealth of information on global dynamics.
Michalis Giannopoulos, Grigorios Tsagkatakis, Panagiotis Tsakalides   +2 more
doaj   +2 more sources

Toward a definition of Essential Mountain Climate Variables [PDF]

One Earth, 2021
<p>Numerous applications, including generating future predictions via numerical modelling, establishing appropriate policy instruments, and effectively tracking progress against them, require the multitude of complex processes and interactions operating in rapidly changing mountainous environmental systems to be well monitored and ...
James M. Thornton, Elisa Palazzi, Nicolas C. Pepin, Paolo Cristofanelli, Richard Essery, Sven Kotlarski, Gregory Giuliani, Yaniss Guigoz, Aino Kulonen, David Pritchard, Xiaofeng Li, Hayley J. Fowler, Christophe F. Randin, Maria Shahgedanova, Martin Steinbacher, Marc Zebisch, Carolina Adler   +16 more
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Embedded Temporal Convolutional Networks for Essential Climate Variables Forecasting [PDF]

Sensors, 2022
Forecasting the values of essential climate variables like land surface temperature and soil moisture can play a paramount role in understanding and predicting the impact of climate change. This work concerns the development of a deep learning model for analyzing and predicting spatial time series, considering both satellite derived and model-based ...
Villia Maria Myrto, Tsagkatakis Grigorios, Moghaddam Mahta, Tsakalides Panagiotis   +3 more
openaire   +3 more sources

The Concept of Essential Climate Variables in Support of Climate Research, Applications, and Policy [PDF]

Bulletin of the American Meteorological Society, 2014
Climate research, monitoring, prediction, and related services rely on accurate observations of the atmosphere, land, and ocean, adequately sampled globally and over sufficiently long time periods. The Global Climate Observing System, set up under the auspices of United Nations organizations and the International Council for Science to help ensure the ...
Bojinski, Stephan, Verstraete, Michel, Peterson, Thomas C, Richter, Carolin, Simmons, Adrian, Zemp, Michael   +5 more
openaire   +3 more sources

The ESA Climate Change Initiative: Satellite Data Records for Essential Climate Variables [PDF]

Bulletin of the American Meteorological Society, 2013
Observations of Earth from space have been made for over 40 years and have contributed to advances in many aspects of climate science. However, attempts to exploit this wealth of data are often hampered by a lack of homogeneity and continuity and by insufficient understanding of the products and their uncertainties.
Hollmann, R., Merchant, C. J., Saunders, R., Downy, C., Buchwitz, M., Cazenave, A., Chuvieco, E., Defourny, P., de Leeuw, G., Forsberg, R., Holzer-Popp, T., Paul, F., Sandven, S., Sathyendranath, S., van Roozendael, M., Wagner, W.   +15 more
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UVSQ-SAT, a Pathfinder CubeSat Mission for Observing Essential Climate Variables [PDF]

Remote Sensing, 2019
The UltraViolet and infrared Sensors at high Quantum efficiency onboard a small SATellite (UVSQ-SAT) mission aims to demonstrate pioneering technologies for broadband measurement of the Earth’s radiation budget (ERB) and solar spectral irradiance (SSI) in the Herzberg continuum (200–242 nm) using high quantum efficiency ultraviolet and infrared sensors.
Mustapha Meftah, Luc Damé, Philippe Keckhut, Slimane Bekki, Alain Sarkissian, Alain Hauchecorne, Emmanuel Bertran, Jean-Paul Carta, David Rogers, Sadok Abbaki, Christophe Dufour, Pierre Gilbert, Laurent Lapauw, André-Jean Vieau, Xavier Arrateig, Nicolas Muscat, Philippe Bove, Éric Sandana, Ferechteh Teherani, Tong Li, Gilbert Pradel, Michel Mahé, Christophe Mercier, Agne Paskeviciute, Kevin Segura, Alicia Berciano Alba, Ahmed Aboulila, Loren Chang, Amal Chandran, Pierre-Richard Dahoo, Alain Bui   +30 more
openaire   +4 more sources

Difference between WMO Climate Normal and Climatology: Insights from a Satellite-Based Global Cloud and Radiation Climate Data Record

Remote Sensing, 2023
The World Meteorological Organization (WMO) recommends that the most recent 30-year period, i.e., 1991–2020, be used to compute the climate normals of geophysical variables.
Abhay Devasthale, Karl-Göran Karlsson, Sandra Andersson, Erik Engström   +3 more
doaj   +1 more source

Quality Assessment of the CCI ECV Soil Moisture Product Using ENVISAT ASAR Wide Swath Data over Spain, Ireland and Finland

Remote Sensing, 2015
During the last decade, great progress has been made by the scientific community in generating satellite-derived global surface soil moisture products, as a valuable source of information to be used in a variety of applications, such as hydrology ...
Chiara Pratola, Brian Barrett, Alexander Gruber, Edward Dwyer   +3 more
doaj   +1 more source

Radiance Uncertainty Characterisation to Facilitate Climate Data Record Creation

Remote Sensing, 2019
The uncertainty in a climate data records (CDRs) derived from Earth observations in part derives from the propagated uncertainty in the radiance record (the fundamental climate data record, FCDR) from which the geophysical estimates in the CDR are ...
Christopher J. Merchant, Gerrit Holl, Jonathan P. D. Mittaz, Emma R. Woolliams   +3 more
doaj   +1 more source

Potential and limitations of multidecadal satellite soil moisture observations for selected climate model evaluation studies [PDF]

Hydrology and Earth System Sciences, 2013
Soil moisture is an essential climate variable (ECV) of major importance for land–atmosphere interactions and global hydrology. An appropriate representation of soil moisture dynamics in global climate models is therefore important.
A. Loew, T. Stacke, W. Dorigo, R. de Jeu, S. Hagemann   +4 more
doaj   +1 more source