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Ecosystems monitoring is essential to properly understand their development and the effects of events, both climatological and anthropological in nature. The amount of data used in these assessments is increasing at very high rates. This is…

Networking and Internet Architecture · Computer Science 2011-07-01 Gilberto Z. Pastorello , G. Arturo Sanchez-Azofeifa , Mario A. Nascimento

Earth observation (EO), aiming at monitoring the state of planet Earth using remote sensing data, is critical for improving our daily lives and living environment. With a growing number of satellites in orbit, an increasing number of…

Computer Vision and Pattern Recognition · Computer Science 2024-04-04 Zhitong Xiong , Fahong Zhang , Yi Wang , Yilei Shi , Xiao Xiang Zhu

Earth observation (EO) is a prime instrument for monitoring land and ocean processes, studying the dynamics at work, and taking the pulse of our planet. This article gives a bird's eye view of the essential scientific tools and approaches…

Seasonal climate forecasts are socioeconomically important for managing the impacts of extreme weather events and for planning in sectors like agriculture and energy. Climate predictability on seasonal timescales is tied to boundary effects…

Atmospheric and Oceanic Physics · Physics 2024-06-14 Chenggong Wang , Michael S. Pritchard , Noah Brenowitz , Yair Cohen , Boris Bonev , Thorsten Kurth , Dale Durran , Jaideep Pathak

Earth Observation (EO) provides critical planetary data for environmental monitoring, disaster management, climate science, and other scientific domains. Here we ask: Are AI systems ready for reliable Earth Observation? We introduce…

The availability of weather data from remotely sensed Earth observation (EO) data has reduced the cost of including weather variables in econometric models. Weather variables are common instrumental variables used to predict economic…

General Economics · Economics 2024-09-13 Anna Josephson , Jeffrey D. Michler , Talip Kilic , Siobhan Murray

The paper introduces a real-time monitoring and forecasting system for ecological phenomena. The process yields a collection of ecological parameters viewed as distributed time series, which are measured by means of wireless network of…

Computers and Society · Computer Science 2017-03-22 Janetta Culita , Alexandru Dumitrascu , Dan Stefanoiu

Accurate precipitation estimation is critical for hydrological applications, especially in the Global South where ground-based observation networks are sparse and forecasting skill is limited. Existing satellite-based precipitation products…

Although anomalous episodical warming of the eastern equatorial Pacific, dubbed El Ni\~no by Peruvian fishermen, has major (and occasionally devastating) impacts around the globe, robust forecasting is still limited to about six months…

Atmospheric and Oceanic Physics · Physics 2015-06-15 Josef Ludescher , Avi Gozolchiani , Mikhail I. Bogachev , Armin Bunde , Shlomo Havlin , Hans Joachim Schellnhuber

Rapid identification of hazardous events is essential for next-generation Earth Observation (EO) missions supporting disaster response. However, current monitoring pipelines remain largely ground-centric, introducing latency due to downlink…

The convergence of artificial intelligence (AI) and Earth observation (EO) technologies has brought geoscience and remote sensing into an era of unparalleled capabilities. AI's transformative impact on data analysis, particularly derived…

Reliable forecasts of the Earth system are crucial for human progress and safety from natural disasters. Artificial intelligence offers substantial potential to improve prediction accuracy and computational efficiency in this field, however…

Satellite missions and Earth Observation (EO) systems represent fundamental assets for environmental monitoring and the timely identification of catastrophic events, long-term monitoring of both natural resources and human-made assets, such…

Computer Vision and Pattern Recognition · Computer Science 2024-02-16 Luca Colomba , Paolo Garza

We study the dynamics of the El Nino phenomenon using the mathematical model of delayed-action oscillator (DAO). Topics such as the influence of the annual cycle, global warming, stochastic influences due to weather conditions and even…

Atmospheric and Oceanic Physics · Physics 2007-05-23 Ian Boutle , Richard H. S. Taylor , Rudolf A. Roemer

The Cherenkov Telescope Array (CTA) will be the next high-energy gamma-ray observatory. Selection of the sites, one in each hemisphere, is not obvious since several factors have to be taken into account. Among them, and probably the most…

Instrumentation and Methods for Astrophysics · Physics 2013-02-06 K. Louedec , M. Will

We set out to evaluate the potential of the Colombian Andes for millimeter-wave astronomical observations. Previous studies for astronomical site testing in this region have suggested that nighttime humidity and cloud cover conditions make…

Instrumentation and Methods for Astrophysics · Physics 2017-09-18 Germán Chaparro Molano , Oscar Leonardo Ramírez Suárez , Oscar Restrepo , Alexander Martínez

LAGO, the Latin American Giant Observatory, is an extended cosmic ray observatory, consisting of a wide network of water Cherenkov detectors located in 10 countries. With different altitudes and geomagnetic rigidity cutoffs, their…

Instrumentation and Methods for Astrophysics · Physics 2022-04-07 Antonio Juan Rubio-Montero , Raúl Pagán-Muñoz , Rafael Mayo-García , Alfonso Pardo-Diaz , Iván Sidelnik , Hernán Asorey

The Simons Observatory (SO) is an upcoming polarized cosmic microwave background (CMB) survey experiment with three small-aperture telescopes and one large-aperture telescope that will observe from the Atacama Desert in Chile. In total, SO…

Climate change is affecting and will increasingly affect astronomical observations. In this paper, we investigated the role some key weather parameters play in the quality of astronomical observations, and analysed their long-term trends…

Instrumentation and Methods for Astrophysics · Physics 2020-09-25 Faustine Cantalloube , Julien Milli , Christoph Böhm , Susanne Crewell , Julio Navarrete , Kira Rehfeld , Marc Sarazin , Anna Sommani

Despite the unprecedented volume of multimodal data provided by modern Earth observation systems, our ability to model atmospheric dynamics remains constrained. Traditional modeling frameworks force heterogeneous measurements into…

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