Assessing atmospheric bias correction for dynamical consistency using potential vorticity

Environmental Research Letters

Volumn 9, Issue 12, 2014, Pages

  Rocheta, Eytan ^a   Evans, Jason P ^a   Sharma, Ashish ^a  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

Atmospheric bias correction; Dynamical consistency; Potential vorticity

Indexed keywords

ATMOSPHERIC VARIABLES; BIAS CORRECTION; CORRECTION TECHNIQUES; DYNAMICAL CONSISTENCY; DYNAMICAL DOWNSCALING; MEAN AND STANDARD DEVIATIONS; POTENTIAL VORTICITY; SPATIAL VARIABILITY;

VORTICITY;

ATMOSPHERIC CORRECTION; DOWNSCALING; POTENTIAL VORTICITY; SPATIAL VARIATION;

EID: 84919480153     PISSN: 17489318     EISSN: 17489326     Source Type: Journal    
DOI: 10.1088/1748-9326/9/12/124010     Document Type: Article

References (19)

1. Bluestein H B 1992 Synoptic-Dynamic Meteorology at Mid-Latitudes vol I (New York: Oxford University Press)
2. Bruyère C L, Done J M, Holland G J and Fredrick S 2014 Bias corrections of global models for regional climate simulations of high-impact weather Clim. Dyn. 43 1847-56
3. Byun D W 1999 Dynamically consistent formulations in meteorological and air quality models for multiscale atmospheric studies: I. Governing equations in a generalized coordinate system J. Atmos. Sci. 56 3789-807
4. Colette A, Vautard R and Vrac M 2012 Regional climate downscaling with prior statistical correction of the global climate forcing Geophys. Res. Lett. 39 L13707
5. Davis C A 1992 Piecewise potential vorticity inversion J. Atmos. Sci. 49 1397-411
6. Dee D P et al 2011 The ERA-Interim reanalysis: configuration and performance of the data assimilation system Q. J. R. Meteorol. Soc. 137 553-97
7. Gordon H, Collier M, Dix M, Rotstayn L, Kowalczyk E, Hirst T and Watterson I 2010 The CSIRO Mk3. 5 climate model (electronic resource) (Melbourne: The Centre for Australian Weather and Climate Research) CAWCR Technical Report No. 021
8. Hoskins B J, McIntyre M E and Robertson A W 1985 On the use and significance of isentropic potential vorticity maps Q. J. R. Meteorol. Soc. 111 877-946
9. Liu M et al 2013 What is the importance of climate model bias when projecting the impacts of climate change on land surface processes? Biogeosciences Discuss. 10 17145-92
10. Meehl G A, Covey C, Taylor K E, Delworth T, Stouffer R J, Latif M, McAvaney B and Mitchell J F B 2007 THE WCRP CMIP3 multimodel dataset: a new Era in climate change research Bull. Am. Meteorol. Soc. 88 1383-94
11. .Muerth M J, Gauvin St-Denis B, Ricard S, Velázquez J A, Schmid J, Minville M, Caya D, Chaumont D, Ludwig R and Turcotte R On the need for bias correction in regional climate scenarios to assess climate change impacts on river runoff Hydrol. Earth Syst. Sci. 17 1189-204
12. Piani C, Haerter J O and Coppola E 2010 Statistical bias correction for daily precipitation in regional climate models over Europe Theor. Appl. Climatol. 99 187-92
13. Rocheta E, Sugiyanto M, Johnson F, Evans J and Sharma A 2014 How well do general circulation models represent lowfrequency rainfall variability? Water Resour. Res. 50 2108-23
14. Teutschbein C and Seibert J 2012 Bias correction of regional climate model simulations for hydrological climate-change impact studies: review and evaluation of different methods J. Hydrol. 456-457 12-29
15. White A A and Bromley R A 1995 Dynamically consistent, quasihydrostatic equations for global models with a complete representation of the Coriolis force Q. J. R. Meteorol. Soc. 121 399-418
16. White R H and Toumi R 2013 The limitations of bias correcting regional climate model inputs Geophys. Res. Lett. 40 2907-12
17. Whitehead J P, Jablonowski C, Kent J and Rood R B 2014 Potential vorticity: measuring consistency between GCM dynamical cores and tracer advection schemes Q. J. R. Meteorol. Soc. doi:10.1002/qj.2389
18. Wilcke R, Mendlik T and Gobiet A 2013 Multi-variable error correction of regional climate models Clim. Change 120 871-87
19. Yu M and Wang G 2014 Impacts of bias correction of lateral boundary conditions on regional climate projections in West Africa Clim. Dyn. 42 2521-38.