Articles | Volume 11, issue 1
https://doi.org/10.5194/cp-11-45-2015
https://doi.org/10.5194/cp-11-45-2015
Research article
 | 
12 Jan 2015
Research article |  | 12 Jan 2015

Global sensitivity analysis of the Indian monsoon during the Pleistocene

P. A. Araya-Melo, M. Crucifix, and N. Bounceur

Related authors

Diagnosing the causes of AMOC slowdown in a coupled model: a cautionary tale
Justin Gérard and Michel Crucifix
Earth Syst. Dynam., 15, 293–306, https://doi.org/10.5194/esd-15-293-2024,https://doi.org/10.5194/esd-15-293-2024, 2024
Short summary
Hysteresis and orbital pacing of the early Cenozoic Antarctic ice sheet
Jonas Van Breedam, Philippe Huybrechts, and Michel Crucifix
Clim. Past, 19, 2551–2568, https://doi.org/10.5194/cp-19-2551-2023,https://doi.org/10.5194/cp-19-2551-2023, 2023
Short summary
Existence and influence of mixed states in a model of vegetation patterns
Lilian Vanderveken, Marina Martínez Montero, and Michel Crucifix
Nonlin. Processes Geophys., 30, 585–599, https://doi.org/10.5194/npg-30-585-2023,https://doi.org/10.5194/npg-30-585-2023, 2023
Short summary
Do phenomenological dynamical paleoclimate models have physical similarity with Nature? Seemingly, not all of them do
Mikhail Y. Verbitsky and Michel Crucifix
Clim. Past, 19, 1793–1803, https://doi.org/10.5194/cp-19-1793-2023,https://doi.org/10.5194/cp-19-1793-2023, 2023
Short summary
SURFER v2.0: a flexible and simple model linking anthropogenic CO2 emissions and solar radiation modification to ocean acidification and sea level rise
Marina Martínez Montero, Michel Crucifix, Victor Couplet, Nuria Brede, and Nicola Botta
Geosci. Model Dev., 15, 8059–8084, https://doi.org/10.5194/gmd-15-8059-2022,https://doi.org/10.5194/gmd-15-8059-2022, 2022
Short summary

Related subject area

Subject: Climate Modelling | Archive: Modelling only | Timescale: Pleistocene
Last Glacial Maximum climate and atmospheric circulation over the Australian region from climate models
Yanxuan Du, Josephine R. Brown, and J. M. Kale Sniderman
Clim. Past, 20, 393–413, https://doi.org/10.5194/cp-20-393-2024,https://doi.org/10.5194/cp-20-393-2024, 2024
Short summary
Uncertainties originating from GCM downscaling and bias correction with application to the MIS-11c Greenland Ice Sheet
Brian R. Crow, Lev Tarasov, Michael Schulz, and Matthias Prange
Clim. Past, 20, 281–296, https://doi.org/10.5194/cp-20-281-2024,https://doi.org/10.5194/cp-20-281-2024, 2024
Short summary
Surface mass balance and climate of the Last Glacial Maximum Northern Hemisphere ice sheets: simulations with CESM2.1
Sarah L. Bradley, Raymond Sellevold, Michele Petrini, Miren Vizcaino, Sotiria Georgiou, Jiang Zhu, Bette L. Otto-Bliesner, and Marcus Lofverstrom
Clim. Past, 20, 211–235, https://doi.org/10.5194/cp-20-211-2024,https://doi.org/10.5194/cp-20-211-2024, 2024
Short summary
A transient coupled general circulation model (CGCM) simulation of the past 3 million years
Kyung-Sook Yun, Axel Timmermann, Sun-Seon Lee, Matteo Willeit, Andrey Ganopolski, and Jyoti Jadhav
Clim. Past, 19, 1951–1974, https://doi.org/10.5194/cp-19-1951-2023,https://doi.org/10.5194/cp-19-1951-2023, 2023
Short summary
Atmosphere–cryosphere interactions during the last phase of the Last Glacial Maximum (21 ka) in the European Alps
Costanza Del Gobbo, Renato R. Colucci, Giovanni Monegato, Manja Žebre, and Filippo Giorgi
Clim. Past, 19, 1805–1823, https://doi.org/10.5194/cp-19-1805-2023,https://doi.org/10.5194/cp-19-1805-2023, 2023
Short summary

Cited articles

Andrianakis, I. and Challenor, P. G.: The effect of the nugget on Gaussian process emulators of computer models, Comput. Stat. Data An., 56, 4215–4228, 2012.
Bastos, L. S. and O'Hagan, A.: Diagnostics for Gaussian process emulators, Technometrics, 51, 425–438, 2009.
Berger, A. L.: Long-term variations of daily insolation and Quaternary climatic changes, J. Atmos. Sci., 35, 2362–2367, 1978.
Berger, J. O., De Oliveira, V., and Sansó, B.: Objective Bayesian analysis of spatially correlated data, J. Am. Stat. Assoc., 96, 1361–1374, 2001.
Download

The requested paper has a corresponding corrigendum published. Please read the corrigendum first before downloading the article.

Short summary
By using a statistical tool termed emulator, we study the sensitivity of the Indian monsoon during the the Pleistocene. The originality of the present work is to consider, as inputs, several elements of the climate forcing that have varied in the past, and then use the emulator as a method to quantify the link between forcing variability and climate variability. The methodology described here may naturally be applied to other regions of interest.