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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.
Maria Myrto Villia +3 more
doaj +2 more sources
International Journal of Digital Earth, 2020 Essential Climate Variables (ECVs) are geophysical records generated from systematic Earth Observations associated with climate variations, changes, and impacts.
Maria Teresa Miranda Espinosa +2 more
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International Journal of Applied Earth Observations and Geoinformation, 2021 Terrestrial Essential Climate Variables, known as terrestrial ECVs, are key sources of information for both application- and scientific- oriented research.
Bagher Bayat +6 more
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Remote Sensing, 2019 Climate services are becoming the backbone to translate climate knowledge, data & information into climate-informed decision-making at all levels, from public administrations to business operators.
Yijian Zeng +13 more
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Remote Sensing, 2023 Essential climate variables (ECVs) have been recognized as crucial information for achieving Sustainable Development Goals (SDGs). There is an agreement on 54 ECVs to understand climate evolution, and multiple rely on satellite Earth observation ...
Daniela Ballari +7 more
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Cholera Risk: A Machine Learning Approach Applied to Essential Climate Variables. [PDF]
Int J Environ Res Public Health, 2020 Campbell AM +3 more
europepmc +2 more sources
Global ocean colour trends in biogeochemical provinces
Frontiers in Marine Science, 2023 Satellite-derived ocean colour data provide continuous, daily measurements of global waters and are an essential tool for monitoring these waters in a changing climate.
Marit van Oostende +3 more
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Remote Sensing, 2023 Forty years of cloud observations are available globally from satellites, allowing derivation of climate data records (CDRs) for climate change studies.
Abhay Devasthale, Karl-Göran Karlsson
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Remote Sensing, 2021 This paper describes the Passive microwave Neural network Precipitation Retrieval algorithm for climate applications (PNPR-CLIM), developed with funding from the Copernicus Climate Change Service (C3S), implemented by ECMWF on behalf of the European ...
Leonardo Bagaglini +4 more
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UVSQ-SAT, a Pathfinder CubeSat Mission for Observing Essential Climate Variables
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 ...
Mustapha Meftah +30 more
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