Contact information of Center for Open Science
Corrections
All material on this site has been provided by the respective publishers and authors. You can help
correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:osf:eartha. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: OSF (email available below). General contact details of provider: https://eartharxiv.org .
Content
2020
- 9en6q Climate has contrasting direct and indirect effects on armed conflicts
by Helman, David & Zaitchik, Ben & Funk, Chris
- z9hk2 Recent Rapid Sea Level Rise In Dublin Bay Based On Tide Gauge Analysis
by Nejad, Amin Shoari & Parnell, Andrew & Greene, Alice & Kelleher, Brian P & McCarthy, Gerard
- ds8v4 Crop residues are a key feedstock to bioeconomy but available methods for their estimation are highly uncertain
by Karan, Shivesh Kishore & Hamelin, Lorie
- q7nw6 Three Common Statistical Missteps We Make in Reservoir Characterization
by Male, Frank & Jensen, Jerry L.
- 64whm Evaluating the INLA-SPDE approach for Bayesian modeling of earthquake damages from geolocated cluster data
by Wilson, Bradley
- 4ue5s Sedimentary structures discriminations with hyperspectral imaging on sediment cores
by Jacq, Kévin & William, Rapuc & Alexandre, Benoit & Didier, Coquin & Bernard, Fanget & Perrette, Yves & Sabatier, Pierre & Bruno, Wilhelm & Maxime, Debret & Arnaud, Fabien
- 3w6jx Comparison of permeability predictions on cemented sandstones with physics-based and machine learning approaches
by Male, Frank & Jensen, Jerry L. & Lake, Larry W.
- fm24b GANSim: Conditional Facies Simulation Using an Improved Progressive Growing of Generative Adversarial Networks (GANs)
by Song, Suihong & Mukerji, Tapan & Hou, Jiagen
- ch8xf Bridging the gap between geophysics and geology with Generative Adversarial Networks (GANs)
by Song, Suihong & Mukerji, Tapan & Hou, Jiagen
- r6dfg Exposure and vulnerability estimation for modelling flood losses to commercial assets in Europe
by Paprotny, Dominik & Kreibich, Heidi & Morales-Nápoles, Oswaldo & Castellarin, Attilio & Carisi3, Francesca & Schröter, Kai
- f5pwa Large model parameter and structural uncertainties in global projections of urban heat waves
by Zheng, Zhonghua & Zhao, Lei & Oleson, Keith W.
- qfj5g Seasonal impact-based mapping of compound hazards
by Hillier, John & Dixon, Richard
- au4tb Probabilistic soil moisture dynamics of water- and energy-limited ecosystems
by Muñoz, Estefanía & Ochoa, Andrés & Poveda, Germán & Rodríguez-Iturbe, Ignacio
- bmskp Observation-based Simulations of Humidity and Temperature Using Quantile Regression
by Poppick, Andrew & McKinnon, Karen A.
2019
- k9wv6 Tornado damage ratings estimated with cumulative logistic regression
by Elsner, James B. & Schroder, Zoe
- g9ma5 What has Global Sensitivity Analysis ever done for us? A systematic review to support scientific advancement and to inform policy-making in earth system modelling
by Wagener, Thorsten & Pianosi, Francesca
- t9s3g Emergent self-similarity and scaling properties of fractal intra-Urban Heat Islets for diverse global cities
by Shreevastava, Anamika & Rao, P. Suresh C. & McGrath, Gavan
- pu83z Matlab/R workflows to assess critical choices in Global Sensitivity Analysis using the SAFE toolbox
by Noacco, Valentina & Sarrazin, Fanny & Pianosi, Francesca & Wagener, Thorsten
- 82bnj Deep Unsupervised 4D Seismic 3D Time-Shift Estimation with Convolutional Neural Networks
by Dramsch, Jesper Sören & Christensen, Anders Nymark & MacBeth, Colin & Lüthje, Mikael
- w79ea Decadal land-use/land-cover and land surface temperature change in Dubai and implications on the urban heat island effect: A preliminary assessment
by Abdi, Abdulhakim M
- p7ft6 A 2,000-year Bayesian NAO reconstruction from the Iberian Peninsula
by Hernández, Armand & Sánchez-López, Guiomar & Pla-Rabes, Sergi & Comas-Bru, Laia & Parnell, Andrew & Cahill, Niamh & Geyer, Adelina & Trigo, Ricardo M & Giralt, Santiago
- w7rj3 Hydropower dependency and climate change in sub-Saharan Africa: A nexus framework and evidence-based review
by Falchetta, Giacomo & Gernaat, David E.H.J. & Hunt, Julian & Sterl, Sebastian
- vr4j3 Trends of hydroclimatic intensity in Colombia
by Mesa, Oscar & Urrea, Viviana & Ochoa, Andrés
- s35kd High-resolution prediction of organic matter concentration with hyperspectral imaging on a sediment core
by Jacq, Kévin & Perrette, Yves & Bernard, Fanget & Sabatier, Pierre & Didier, Coquin & Ruth, Martinez-Lamas & Maxime, Debret & Fabien, Arnaud
- m9kbe Controls on the development and termination of failed continental rifts: Insights from the crustal structure and rifting style of the North Sea via ambient noise tomography
by Crowder, Emily & Rawlinson, Nick & Cornwell, David G. & Sammarco, Carmelo & Galetti, Erica & Curtis, Andrew
- gxj9m Paradoxical impact of sprawling intra-Urban Heat Islets: Reducing mean surface temperatures while enhancing local extremes
by Shreevastava, Anamika & Bhalachandran, Saiprasanth & McGrath, Gavan & Huber, Matthew & Rao, P. Suresh C.
- ab6xw Hierarchical Cluster Analysis by R language for Pattern Recognition in the Bathymetric Data Frame: a Case Study of the Mariana Trench, Pacific Ocean
by Lemenkova, Polina
- wsu6g Advanced ML and AI Approaches for Proxy-based Optimization of CO2-Enhanced Oil Recovery in Heterogeneous Clastic Reservoirs
by Al-Mudhafar, Watheq J. & Rao, Dandina N & Srinivasan, Sanjay
- k5aut Information-theoretic Portfolio Decision Model for Optimal Flood Management
by Convertino, Matteo & Annis, Antonio & Nardi, Fernando
- d5hfx A comprehensive climate history of the last 800 thousand years
by Krapp, Mario & Beyer, Robert & Edmundson, Stephen L. & Valdes, Paul J & Manica, Andrea
- zytp2 Deep Learning Application for 4D Pressure Saturation Inversion Compared to Bayesian Inversion on North Sea Data
by Dramsch, Jesper Sören & Corte, Gustavo & Amini, Hamed & Lüthje, Mikael & MacBeth, Colin
- kmcty Are Detected Trends in Flood Magnitude and Shifts in the Timing of Floods of A Major River Basin in India, Linked To Anthropogenic Stressors?
by Rama, Nandamuri Yamini & Ganguli, Poulomi & Chatterjee, Chandranath
- tkjef Segmentation of the Main Himalayan Thrust inferred from geodetic observations of interseismic coupling
by Dal Zilio, Luca & Jolivet, Romain & van Dinther, Ylona
- kzwqx A simplified seasonal forecasting strategy, applied to wind and solar power in Europe
by Bett, Philip E & Thornton, Hazel E. & Troccoli, Alberto & De Felice, Matteo & Suckling, Emma & Dubus, Laurent & Saint-Drenan, Yves-Marie & Brayshaw, David J.
- ktsge Analysis of Persistence in the Flood Timing and the Role of Catchment Wetness on Flood Generation in a Large River Basin in India
by Rama, Nandamuri Yamini & Ganguli, Poulomi & Chatterjee, Chandranath
- gxnmt A mechanistic erosion model for cosmogenic nuclide inheritance in fluvial single-clast exposure ages
by Prush, Veronica & Oskin, Michael E.
2018
- t6358 SSPipeline: A pipeline for estimating and characterizing uncertainty in coastal storm surge levels
by Letey, John & Zhang, Mingxuan & Wong, Tony
- c973s Preparing for the Utilization of Data Science / Data Analytics in Earth Science Research
by Kempler, Steven & Barbieri, Lindsay & Trapasso, Tiffany
- ta764 Higher potential compound flood risk in Northern Europe under anthropogenic climate change
by Bevacqua, Emanuele & Maraun, Douglas & Vousdoukas, Michalis I. & Voukouvalas, Evangelos & Vrac, Mathieu & Mentaschi, Lorenzo & Widmann, Martin
- a6zj4 Bootstrapped high quantile estimation --- An experiment with scarce precipitation data
by Nguyen, Hung Tan Thai & Bernhard, Harald & Lai, Zhangsheng
- 6xq3w Statistics and segmentation: Using Big Data to assess Cascades Arc compositional variability
by Pitcher, Bradley W & Kent, Adam J.R.
- 5mx3c Landscape classification with deep neural networks
by Buscombe, Daniel
- 2tm7x Learning about climate change uncertainty enables flexible water infrastructure planning
by Fletcher, Sarah Marie & Lickley, Megan & Strzepek, Kenneth
- e9wsu Probabilistic space- and time-interaction modeling of main-shock earthquake rupture occurrence
by Ceferino, Luis & Kiremidjian, Anne & Deierlein, Gregory
- rcjh7 Spatial association between regionalizations using the information-theoretical V-measure
by Nowosad, Jakub & Stepinski, Tomasz
- feaq5 Powers of 10: cross-scale optimization of social agencies for rapid climate and sustainability action
by Bhowmik, Avit K. & McCaffrey, Mark Stanislaus & Ruskey, Abigail M & Frischmann, Chad & Gaffney, Owen
- 4enzu A PCA-based framework for determining remotely-sensed geological surface orientations and their statistical quality
by Quinn, Daven & Ehlmann, Bethany
- k3rmn Global assessment and mapping of changes in mesoscale landscapes: 1992–2015
by Nowosad, Jakub & Stepinski, Tomasz & Netzel, Pawel
- uvw3s Uncertainty in sea level rise projections due to the dependence between contributors
by Le Bars, Dewi
- dysza Implications of ambiguity in Antarctic ice sheet dynamics for future coastal erosion estimates: a probabilistic assessment
by Verschuur, Jasper & Le Bars, Dewi & Drijfhout, Sybren & Katsman, Caroline & de Vries, Sierd & Ranasinghe, Roshanka & Aarninkhof, Stefan
- fsver Towards machine ecoregionalization of Earth’s landmass using pattern segmentation method
by Nowosad, Jakub & Stepinski, Tomasz
2017
- 7z96d The role of glacier retreat for Swiss hydropower production
by Schaefli, Bettina & Manso, Pedro & Fischer, Mauro & Huss, Matthias & Farinotti, Daniel
- a4q6m Compositional Signatures in Acoustic Backscatter Over Vegetated and Unvegetated Mixed Sand-Gravel Riverbeds
by Buscombe, Daniel
- duj42 Geostatistical modelling of cyclic and rhythmic facies architectures
by Le Blévec, Thomas & Dubrule, Olivier & John, Cédric M. & Hampson, Gary J.
- ge27p Distal turbidites reveal a common distribution for large (>0.1 km3) submarine landslide recurrence
by Clare, Michael & Talling, Peter & Hunt, James & Challenor, Peter & Malgesini, Giusseppe
- wg7sn Non-crossing nonlinear regression quantiles by monotone composite quantile regression neural network, with application to rainfall extremes
by Cannon, Alex J.
2015
Printed from https://ideas.repec.org/s/osf/eartha.html
