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Detection and attribution of large spatiotemporal extreme events in Earth observation data

Jakob Zscheischler, Miguel D. Mahecha, Stefan Harmeling, Markus Reichstein
2013 Ecological Informatics  
In order to facilitate global analysis of this kind, we present a methodological framework that firstly detects spatiotemporally contiguous extremes in Earth observations, and secondly infers the likely  ...  We also put an emphasis on characterization of extreme event distribution, and scrutinize the attribution issue.  ...  Acknowledgments This study was supported by the projects Carbo-Extreme (grant agreement no. 226701) and GEOCARBON (grant agreement no: 283080) of the European Community's 7th framework program.  ... 
doi:10.1016/j.ecoinf.2013.03.004 fatcat:rh6srcfcujdz7aj5wuonqmtl44

Human influence has intensified extreme precipitation in North America

Megan C. Kirchmeier-Young, Xuebin Zhang
2020 Proceedings of the National Academy of Sciences of the United States of America  
Here, we address the question of whether observed changes in annual maximum 1- and 5-d precipitation can be attributed to human influence on the climate.  ...  Precipitation extremes have implications for many facets of both the human and natural systems, predominantly through flooding events.  ...  We thank the modeling groups for producing the large ensemble simulations, and John Fyfe, Nathan Gillett, and three anonymous reviewers for valuable comments on this manuscript.  ... 
doi:10.1073/pnas.1921628117 pmid:32482861 fatcat:kkzhx7pvx5er3fplbzuycoth3a

Spatiotemporal event detection: a review

Manzhu Yu, Myra Bambacus, Guido Cervone, Keith Clarke, Daniel Duffy, Qunying Huang, Jing Li, Wenwen Li, Zhenlong Li, Qian Liu, Bernd Resch, Jingchao Yang (+1 others)
2020 International Journal of Digital Earth  
Guidance is presented on the current challenges to this research agenda, and future directions are discussed for conducting spatiotemporal event detection in the era of big data, advanced sensing, and  ...  Spatiotemporal event detection serves as a gateway to enable a better understanding by detecting events that represent the abnormal status of relevant phenomena.  ...  This community paper is one of a set of efforts to setup the foundation for future spatiotemporal studies/sciences. Yang, Yu and Bambacus initialized the concept for this paper.  ... 
doi:10.1080/17538947.2020.1738569 fatcat:urbuc2zii5bajjmmkzu6idyrg4

Detecting impacts of extreme events with ecological in situ monitoring networks

Miguel D. Mahecha, Fabian Gans, Sebastian Sippel, Jonathan F. Donges, Thomas Kaminski, Stefan Metzger, Mirco Migliavacca, Dario Papale, Anja Rammig, Jakob Zscheischler
2017 Biogeosciences  
Satellite-based observations of the terrestrial biosphere provide an important reference for detecting and describing the spatiotemporal development of such events.  ...  However, in-depth investigations of ecological processes during extreme events require additional in situ observations.  ...  Williams Reviewed by: Gil Bohrer, Nathaniel Brunsell, and one anonymous referee  ... 
doi:10.5194/bg-14-4255-2017 fatcat:oevglh5bgfgm5jz4xtwrdzkgmu

Spatiotemporal Data Mining: Issues, Tasks And Applications

Venkateswara Rao K
2012 International Journal of Computer Science & Engineering Survey  
Spatiotemporal data usually contain the states of an object, an event or a position in space over a period of time.  ...  In this paper, the issues and challenges related to spatiotemporal data representation, analysis, mining and visualization of knowledge are presented.  ...  Examples of event types are earth quake, hurricanes, road traffic jam and road accidents.  ... 
doi:10.5121/ijcses.2012.3104 fatcat:smom5x2ybbgilavylsg7dju3pu

Detecting impacts of extreme events with ecological in-situ monitoring networks

Miguel D. Mahecha, Fabian Gans, Sebastian Sippel, Jonathan F. Donges, Thomas Kaminski, Stefan Metzger, Mirco Migliavacca, Dario Papale, Anja Rammig, Jakob Zscheischler
2017 Biogeosciences Discussions  
Satellite based observations of the terrestrial biosphere provide an important reference for detecting and describing the spatiotemporal development of such events.  ...  However, in-depth investigations of ecological processes during extreme events require additional in-situ observations.  ...  Data Earth observations, EO To analyze the suitability of in-situ networks we need a catalogue of extremes as experienced by terrestrial ecosystems in the past years.  ... 
doi:10.5194/bg-2017-130 fatcat:y5r65mh4lnco3mtlslszm5dtum

Earth Science Applications of Sensor Data [chapter]

Anuj Karpatne, James Faghmous, Jaya Kawale, Luke Styles, Mace Blank, Varun Mithal, Xi Chen, Ankush Khandelwal, Shyam Boriah, Karsten Steinhaeuser, Michael Steinbach, Vipin Kumar (+1 others)
2012 Managing and Mining Sensor Data  
Advances in earth observation technologies have led to the acquisition of vast volumes of accurate, timely and reliable environmental data which encompass a multitude of information about the land, ocean  ...  Moreover, earth science sensor datasets possess unique domain-specific properties that distinguish them from sensor datasets used in other domains, and thus demand the need for novel tools and techniques  ...  Acknowledgments This work was supported in part by the National Science Foundation under Grants IIS-1029711 and IIS-0905581, an NSF Graduate Research Fellowship, an NSF Nordic Research Opportunity, and  ... 
doi:10.1007/978-1-4614-6309-2_15 fatcat:wtutvripnffmdlqjcj744qlbji

Extreme anomaly event detection in biosphere using linear regression and a spatiotemporal MRF model

Yanira Guanche García, Maha Shadaydeh, Miguel Mahecha, Joachim Denzler
2018 Natural Hazards  
Detecting abnormal events within time series is crucial for analyzing and understanding the dynamics of the system in many research areas.  ...  Five biosphere variables from a preliminary version of the Earth System Data Cube have been used in this study: Gross Primary Productivity, Latent Energy, Net Ecosystem Exchange, Sensible Heat and Terrestrial  ...  Acknowledgements The data used in this study were kindly provided by the ESA project ESDL: Earth System Data Lab.  ... 
doi:10.1007/s11069-018-3415-8 fatcat:4gciuaip3besdiqrmaiovdbgny

Analyzing Spatiotemporal Anomalies through Interactive Visualization

Tao Zhang, Qi Liao, Lei Shi, Weishan Dong
2014 Informatics  
As we move into the big data era, data grows not just in size, but also in complexity, containing a rich set of attributes, including location and time information, such as data from mobile devices (e.g  ...  We are motivated by the rising challenge and build a visualization tool for exploring generic spatiotemporal data, i.e., records containing time location information and numeric attribute values.  ...  Lei Shi advised on the interactive visualization design and color mapping choices. Weishan Dong contributed in terms of the GridScan clustering algorithm.  ... 
doi:10.3390/informatics1010100 fatcat:ohsvdk3p5nastnzymuqnkoeewa

Spatiotemporal Derivation of Intermittent Ponding in a Maize–Soybean Landscape from Planet Labs CubeSat Images

Robert F. Paul, Yaping Cai, Bin Peng, Wendy H. Yang, Kaiyu Guan, Evan H. DeLucia
2020 Remote Sensing  
the spatiotemporal characteristics of ponding events in the maize–soybean cropland of Champaign County, Illinois USA.  ...  However, lack of direct observations of the dynamics of temporal soil ponding limits our understanding of its impacts on crop growth and biogeochemical cycling.  ...  The high spatiotemporal resolution of this data set illustrates a novel capability to detect transient events like ponding.  ... 
doi:10.3390/rs12121942 fatcat:ofoptlkjm5e63kgxma7zm64pky

Spatiotemporal clustering of flash floods in a changing climate (China, 1950–2015)

Nan Wang, Luigi Lombardo, Marj Tonini, Weiming Cheng, Liang Guo, Junnan Xiong
2021 Natural Hazards and Earth System Sciences  
This may indicate a change towards triggering mechanisms which are typical of short-duration extreme rainfall events.  ...  Due to the large spatial (the whole Chinese territory) and temporal (66 years) scale of the dataset, we were able to capture whether certain clusters gather in specific locations and times but also whether  ...  This paper was edited by Mario Parise and reviewed by three anonymous referees.  ... 
doi:10.5194/nhess-21-2109-2021 fatcat:w3f4lgh2nbbpjoaq7wkmj6juae

Data Mining for Climate Change and Impacts

Auroop R Ganguly, Karsten Steinhaeuser
2008 2008 IEEE International Conference on Data Mining Workshops  
However, recent growth in observations and model outputs, combined with the increased availability of geographical data, presents new opportunities for data miners.  ...  This paper maps climate requirements to solutions available in temporal, spatial and spatiotemporal data mining.  ...  Erickson and M. Branstetter of ORNL for the A1FI data and N. Singh of ORNL for the population projections. Reanalysis data are available from the NOAA website.  ... 
doi:10.1109/icdmw.2008.30 dblp:conf/icdm/GangulyS08 fatcat:pdlcwwda2zfkbbz2yxxu4whihm

Carbon cycle extremes during the 21st century in CMIP5 models: Future evolution and attribution to climatic drivers

Jakob Zscheischler, Markus Reichstein, Jannis von Buttlar, Mingquan Mu, James T. Randerson, Miguel D. Mahecha
2014 Geophysical Research Letters  
Here we analyze spatiotemporally contiguous negative extreme anomalies in gross primary production (GPP) and net ecosystem production (NEP) in model output of the Coupled Model Intercomparison Project  ...  Randerson, and M. D. Mahecha (2014), Carbon cycle extremes during the 21st century in CMIP5 models: Future evolution and attribution to climatic drivers, Geophys. Res.  ...  Extremes in GPP anomalies are computed on moving windows of 30 year length, aggregated to spatiotemporal extreme events, and only the largest 1000 events are considered.  ... 
doi:10.1002/2014gl062409 fatcat:fxbbuwjstzfglmxtl5betx6ola

The size distribution of spatiotemporal extreme rainfall clusters around the globe

D. Traxl, N. Boers, A. Rheinwalt, B. Goswami, J. Kurths
2016 Geophysical Research Letters  
The scaling behavior of rainfall has been extensively studied both in terms of event magnitudes and in terms of spatial extents of the events.  ...  Here we combine the domains of event magnitudes and event area sizes by a spatiotemporal integration of 3-hourly rain rates corresponding to extreme events derived from the quasi-global high-resolution  ...  The data employed in this study (TRMM 3B42 V7) can be retrieved at http://mirador.gsfc.nasa.gov/.  ... 
doi:10.1002/2016gl070692 fatcat:ruiv6ku67vcvtoxixmoullf72a

Digital Earth for Climate Change Research [chapter]

Gensuo Jia, Li Zhang, Lanwei Zhu, Ronghan Xu, Dong Liang, Xiyan Xu, Tao Bao
2019 Manual of Digital Earth  
of sensitive factors for climate change, global environmental change information and simulation systems, and synchronous satellite-aerial-ground observation experiments, which provide extremely large  ...  This chapter gives an overview of the advances in climate change studies based on Digital Earth and provides case studies that utilize Digital Earth in climate change research, such as in the observation  ...  Nevertheless, satellite measurements have been very useful in monitoring surface temperatures and detecting extreme temperature events.  ... 
doi:10.1007/978-981-32-9915-3_14 fatcat:64kzsmgcrfcmfcmd5huslcl24a
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