Multivariate-Intervariable, Spatial, and Temporal-Bias Correction*

Vrac, Mathieu; Friederichs, Petra
January 2015
Journal of Climate;Jan2015, Vol. 28 Issue 1, p218
Academic Journal
Statistical methods to bias correct global or regional climate model output are now common to get data closer to observations in distribution. However, most bias correction (BC) methods work for one variable and one location at a time and basically reproduce the temporal structure of the models. The intervariable, spatial, and temporal dependencies of the corrected data are usually poor compared to observations. Here, the authors propose a novel method for multivariate BC. The empirical copula-bias correction (EC-BC) combines a one-dimensional BC with a shuffling technique that restores an empirical multidimensional copula. Several BC methods are investigated and compared to high-resolution reference data over the French Mediterranean basin: notably, (i) a 1D BC method applied independently to precipitation and temperature fields, (ii) a recent conditional correction approach developed for producing correct two-dimensional intervariable structures, and (iii) the EC-BC method. Assessments are realized in terms of intervariable, spatial, and temporal dependencies, and an objective evaluation using the integrated quadratic distance (IQD) is presented. As expected, the 1D methods cannot produce correct multidimensional properties. The conditional technique appears efficient for intervariable properties but not for spatial and temporal dependencies. EC-BC provides realistic dependencies in all respects: intervariable, spatial, and temporal. The IQD results are clearly in favor of EC-BC. As many BC methods, EC-BC relies on a stationarity assumption and is only able to reproduce patterns inherited from historical data. However, because of its ease of coding, its speed of application, and the quality of its results, the EC-BC method is a very good candidate for all needs in multivariate bias correction.


Related Articles

  • The Climatology of the Middle Atmosphere in a Vertically Extended Version of the Met Office''s Climate Model. Part II: Variability. Osprey, Scott M.; Gray, Lesley J.; Hardiman, Steven C.; Butchart, Neal; Bushell, Andrew C.; Hinton, Tim J. // Journal of the Atmospheric Sciences;Nov2010, Vol. 67 Issue 11, p3637 

    Stratospheric variability is examined in a vertically extended version of the Met Office global climate model. Equatorial variability includes the simulation of an internally generated quasi-biennial oscillation (QBO) and semiannual oscillation (SAO). Polar variability includes an examination of...

  • Double-sided wet fabric evaporator utilizing wind and solar energy efficiently-Simulation modeling and feasibility of evaporator. Nosoko, T.; Gima, S.; Minakuchi, H.; Ameku, K.; Irabu, K. // Desalination & Water Treatment;Apr2010, Vol. 16 Issue 1-3, p254 

    A double-sided wet fabric evaporator is suggested, which has a potential to concentrate seawater up to a high concentration in a very short fabric length of around 2 m. Model simulations show that evaporation from both sides of the fabric effectively cools the fabric which gains a large amount...

  • Regional climate model simulations of daily maximum and minimum near-surface temperatures across Europe compared with observed station data 1961-1990. Moberg, Anders; Jones, Philip // Climate Dynamics;Dec2004, Vol. 23 Issue 7/8, p695 

    Simulations of the present-day temperature climate in Europe obtained with the dynamic regional climate model HadRM3P from the Hadley Centre are evaluated. Observed daily temperature maxima (Tx) and minima (Tn) for the 1961-1990 period at 185 stations are compared with their nearest...

  • Evaluation and response of winter cold spells over Western Europe in CMIP5 models. Peings, Y.; Cattiaux, J.; Douville, H. // Climate Dynamics;Dec2013, Vol. 41 Issue 11/12, p3025 

    This paper is dedicated to the analysis of winter cold spells over Western Europe in the simulations of the 5th phase of the Coupled Model Intercomparison Project (CMIP5). Both model biases and responses in a warming climate are discussed using historical simulations and the 8.5 W/m 2...

  • Note: On the deconvolution of Kelvin probe force microscopy data. Blümel, A.; Plank, H.; Klug, A.; Fisslthaler, E.; Sezen, M.; Grogger, W.; List, E. J. W. // Review of Scientific Instruments;May2010, Vol. 81 Issue 5, p056107 

    In Kelvin probe force microscopy (KPFM) proper interpretation of the data is often difficult because the measured surface potential is affected by the interaction of the cantilever with the sample. In this work, the tip's interaction with a modeled surface potential distribution was simulated,...

  • Autonomous theory building systems. Paul, Wolfgang J.; Solomonoff, R. // Annals of Operations Research;1995, Vol. 55 Issue 1-4, p179 

    Theories are collections of large bodies of data in the real world. We describe autonomous systems, which observe the outside world and try to generate programs which reproduce the observed data. Methods for generation of new programs are enumeration as well as mutation and combination of old...

  • Will open ocean oxygen stress intensify under climate change? Gnanadesikan, A.; Dunne, J. P.; John, J. // Biogeosciences Discussions;2011, Vol. 8 Issue 4, p7007 

    Global warming is expected to reduce oxygen solubility and vertical exchange in the ocean, changes which would be expected to result in an increase in the volume of hypoxic waters. A simulation made with a full earth system model with dynamical atmosphere, ocean, sea ice and biogeochemical...

  • An efficient climate model with a 3D ocean and statistical–dynamical atmosphere*. Kamenkovich, I.; Sokolov, A.; Stone, P. // Climate Dynamics;Sep2002, Vol. 19 Issue 7, p585 

    We describe a coupled climate model of intermediate complexity designed for use in global warming experiments. The atmospheric component is a two-dimensional (zonally averaged) statistical–dynamical model based on the Goddard Institute for Space Study's atmospheric general circulation...

  • Radiative impact of mineral dust on monsoon precipitation variability over West Africa. Zhao, C.; Liu, X.; Leung, L. Ruby; Hagos, S. // Atmospheric Chemistry & Physics;2011, Vol. 11 Issue 5, p1879 

    No abstract available.


Read the Article


Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics