Articles | Volume 21, issue 6
Nonlin. Processes Geophys., 21, 1093–1111, 2014
https://doi.org/10.5194/npg-21-1093-2014
Nonlin. Processes Geophys., 21, 1093–1111, 2014
https://doi.org/10.5194/npg-21-1093-2014
Research article
11 Nov 2014
Research article | 11 Nov 2014

Estimation of sedimentary proxy records together with associated uncertainty

B. Goswami et al.

Related authors

Recurrence analysis of extreme event-like data
Abhirup Banerjee, Bedartha Goswami, Yoshito Hirata, Deniz Eroglu, Bruno Merz, Jürgen Kurths, and Norbert Marwan
Nonlin. Processes Geophys., 28, 213–229, https://doi.org/10.5194/npg-28-213-2021,https://doi.org/10.5194/npg-28-213-2021, 2021
A complete representation of uncertainties in layer-counted paleoclimatic archives
Niklas Boers, Bedartha Goswami, and Michael Ghil
Clim. Past, 13, 1169–1180, https://doi.org/10.5194/cp-13-1169-2017,https://doi.org/10.5194/cp-13-1169-2017, 2017
Short summary

Related subject area

Subject: Time series, machine learning, networks, stochastic processes, extreme events | Topic: Climate, atmosphere, ocean, hydrology, cryosphere, biosphere
Integrated hydrodynamic and machine learning models for compound flooding prediction in a data-scarce estuarine delta
Joko Sampurno, Valentin Vallaeys, Randy Ardianto, and Emmanuel Hanert
Nonlin. Processes Geophys., 29, 301–315, https://doi.org/10.5194/npg-29-301-2022,https://doi.org/10.5194/npg-29-301-2022, 2022
Short summary
Empirical adaptive wavelet decomposition (EAWD): an adaptive decomposition for the variability analysis of observation time series in atmospheric science
Olivier Delage, Thierry Portafaix, Hassan Bencherif, Alain Bourdier, and Emma Lagracie
Nonlin. Processes Geophys., 29, 265–277, https://doi.org/10.5194/npg-29-265-2022,https://doi.org/10.5194/npg-29-265-2022, 2022
Short summary
Predicting sea surface temperatures with coupled reservoir computers
Benjamin Walleshauser and Erik Bollt
Nonlin. Processes Geophys., 29, 255–264, https://doi.org/10.5194/npg-29-255-2022,https://doi.org/10.5194/npg-29-255-2022, 2022
Short summary
Lévy noise versus Gaussian-noise-induced transitions in the Ghil–Sellers energy balance model
Valerio Lucarini, Larissa Serdukova, and Georgios Margazoglou
Nonlin. Processes Geophys., 29, 183–205, https://doi.org/10.5194/npg-29-183-2022,https://doi.org/10.5194/npg-29-183-2022, 2022
Short summary
Using neural networks to improve simulations in the gray zone
Raphael Kriegmair, Yvonne Ruckstuhl, Stephan Rasp, and George Craig
Nonlin. Processes Geophys., 29, 171–181, https://doi.org/10.5194/npg-29-171-2022,https://doi.org/10.5194/npg-29-171-2022, 2022
Short summary

Cited articles

Anoop, A., Prasad, S., Plessen, B., Basavaiah, N., Gaye, B., Naumann, R., Menzel, P., Weise, S., and Brauer, A.: Palaeoenvironmental implications of evaporative Gaylussite crystals from Lonar lake, Central India, J. Quaternary Sci., 28, 349–359, 2013.
Basavaiah, N., Wiesner, M., Anoop, A., Menzel, P., Nowaczyk, N., Deenadayalan, K., Brauer, A., Gaye, B., Naumann, R., Riedel, N., Stebich, M., and Prasad, S.: Physicochemical analyses of surface sediments from the Lonar Lake, central India – implications for palaeoenvironmental reconstruction, Fundament. Appl. Limnol., 184, 55–68, 2014.
Blaauw, M.: Methods and code for 'classical' age-modelling of radiocarbon sequences, Quatern. Geochronol., 5, 512–518, 2010.
Blaauw, M., Christen, J. A., Mauquoy, D., van der Plicht, J., and Bennett, K.: Testing the timing of radiocarbon-dated events between proxy archives, Holocene, 17, 283–288, 2007.
Blaauw, M., Wohlfarth, B., Christen, J., Ampel, L., Veres, D., Hughen, K., Preusser, F., and Svensson, A.: Were last glacial climate events simultaneous between Greenland and France? A quantitative comparison using non-tuned chronologies, J. Quaternary Sci., 25, 387–394, 2010.
Download
Short summary
We present a new approach to estimating sedimentary proxy records along with the proxy uncertainty. We provide analytical expressions for the proxy record, while transparently propagating uncertainties from the ages to the proxy record. We represent proxies on an error-free, precise timescale. Our approach provides insight into the interrelations between proxy variability and the various uncertainties. We demonstrate our method with synthetic examples and proxy data from the Lonar lake in India.