Correcting for systematic biases in multiple raw GCM variables across a range of timescales

Journal of Hydrology

Volumn 520, Issue , 2015, Pages 214-223

  Mehrotra, Rajeshwar ^a   Sharma, Ashish ^a  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

Climate change; Correcting for biases in GCM simulations; Cross dependence; Downscaling; Multivariate Recursive Nested Bias Correction (MRNBC)

Indexed keywords

CLIMATE CHANGE; WATER RESOURCES;

BIAS CORRECTION; CORRECTING FOR BIASES IN GCM SIMULATIONS; CROSS DEPENDENCE; DEPENDENCE STRUCTURES; DOWN-SCALING; GENERAL CIRCULATION MODEL; HYDROLOGY AND WATER RESOURCE; TEMPORAL AGGREGATION;

TIME MEASUREMENT;

CLIMATE CHANGE; DOWNSCALING; GENERAL CIRCULATION MODEL; HYDROMETEOROLOGY; TIMESCALE; WATER RESOURCE;

EID: 84913582771     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2014.11.037     Document Type: Article

References (37)

1. Arnell N.W., Reynard N.S. The effects of climate change due to global warming on river flows in Great Britain. J. Hydrol. 1996, 183(3-4):397-424.
2. Bates, B.C., Kundzewicz, Z.W., Wu, S., Palutikof, J.P. (Eds.), 2008. Climate Change and Water. IPCC Secretariat: Geneva; 210.
3. Cayan D.R., Maurer E.P., Dettinger M.D., Tyree M., Hayhoe K. Climate change scenarios for the California region. Clim. Change 2008, 87(Suppl. 1):21-42. 10.1007/s10584-007-9377-6.
4. Charles S.P., Bates B.C., Hughes J.P. A spatio-temporal model for downscaling precipitation occurrence and amounts. J. Geophys. Res. 1999, 104(D24):31657-31669.
5. Charles S.P., Bates B.C., Smith I.N., Hughes J.P. Statistical downscaling of daily precipitation from observed and modelled atmospheric fields. Hydrol. Process. 2004, 18:1373-1394.
6. Chen X., Wang D., Chopra M. Constructing comprehensive datasets for understanding human and climate change impacts on hydrologic cycle. Irrigat Drainage Sys. Eng. 2013, 2:106. 10.4172/2168-9768.1000106.
7. Chiew F.H.S., McMahon T.A. Modelling the impacts of climate change on Australian streamflow. Hydrol. Processes 2002, 16(6):1235-1245.
8. Evans J.P., Ronald B.S., Robert J.O. Middle east climate simulation and dominant precipitation processes. Int. J. Climatol. 2004, 24:1671-1694.
9. Fowler H.J., Blenkinsop S., Tebaldi C. Linking climate change modelling to impacts studies: recent advances in downscaling techniques for hydrological modelling. Int. J. Climatol. 2007, 27(12):1547-1578.
10. Giorgi F., Hewitson B., Christensen J., Hulme M., Von Storch H., Whetton P., Jones R., Mearns L., Fu C. Regional Climate Information: Evaluation and Projections. Climate Change 2001: The Scientific Basis, Contribution of Working Group I to the Third Assessment Report of the IPCC 2001, 739-768. Cambridge U. Press, Cambridge, (Chapter 10). J.T. Houghton, Y. Ding, D.J. Griggs, M. Noguer, P.J. van der Linden, X. Dai, K. Maskell, C.A. Johnson (Eds.).
11. Gordon, H.B., Rotstayn, L.D., McGregor, J.L., Dix, M.R., Kowalczyk, E.A., O'Farrell, S.P., Waterman, L.J., Hirst, A.C., Wilson, S.G., Collier, M.A., Watterson, I.G., Elliott, T.I., 2002. The CSIRO Mk3 Climate System Model (Electronic Publication), CSIRO Atmospheric Research Technical Paper No. 60. CSIRO Atmospheric Research: Aspendale; 130, .
12. Ho C.K., Stephenson D.B., Collins M., Ferro C.A.T., Brown S.J. Calibration strategies: a source of additional uncertainty in climate change projections. Bull. Am. Met. Soc. 2012, 93:21-26.
13. Ines A.V.M., Hansen J.W. Bias correction of daily GCM rainfall for crop simulation studies. Agric. For. Meteorol. 2006, 138:44-53.
14. IPCC Summary for Policymakers. Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change 2013, Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA. T.F. Stocker, D. Qin, G.-K. Plattner, M. Tignor, S.K. Allen, J. Boschung, A. Nauels, Y. Xia, V. Bex, P.M. Midgley (Eds.).
15. Johnson F., Sharma A. A nesting model for bias correction of variability at multiple time scales in general circulation model precipitation simulations. Water Resour. Res. 2012, 48:W01504. 10.1029/2011WR010464.
16. Li H., Sheffield J., Wood E.F. Bias correction of monthly precipitation and temperature fields from Intergovernmental Panel on Climate Change AR4 models using equidistant quantile matching. J. Geophys. Res. 2010, 115:D10101. 10.1029/2009JD012882.
17. Liang X.Z., Kunkel K.E., Meehl G.A., Jones R.G., Wang J.X.L. Regional climate models downscaling analysis of general circulation models present climate biases propagation into future change projections. Geophys. Res. Lett. 2008, 35. 10.1029/2007GL032849.
18. Lin, J.L., 2007. Interdecadal variability of ENSO in 21 IPCC AR4 coupled GCMs. Geophysical Research Letters 34.
19. Matalas N.C. Mathematical assessment of synthetic hydrology. Water Resour. Res. 1967, 3(4):937-945. 10.1029/WR003i004p00937.
20. Maurer E.P., Hidalgo H.G. Utility of daily vs. monthly large-scale climate data: an intercomparison of two statistical downscaling methods. Hydrol. Earth Syst. Sci. 2008, 12:551-563.
21. Mearns, L.O., Giorgi, F., Whetton, P., Pabon, D., Hulme, M., Lal, M., 2003. Guidelines for use of climate scenarios developed from regional climate model experiments. Technical report, Data Distrib. Cent., Intergovt. Panel on Clim. Change, Norwich, U.K.
22. Mehrotra R., Sharma A. Development and Application of a Multisite Rainfall Statistical Downscaling Framework for Climate Change Impact Assessment. Water Resour. Res. 2010, 46. (W07526, 17 PP). 10.1029/2009WR008423.
23. Mehrotra R., Sharma A. An improved standardization procedure to remove systematic low frequency variability biases in GCM simulations. Water Resour. Res. 2012, 48. (W12601, 8 PP). 10.1029/2012WR012446.
24. Mehrotra R., Sharma A., Nagesh Kumar D., Reshmidevi T.V. Assessing future rainfall projections using multiple GCMs and a multi-site stochastic downscaling model. J. Hydrol. 2013, 488:84-100.
25. Mehrotra R., Evans J.P., Sharma A., Sivakumar B. Evaluation of downscaled daily rainfall hindcasts over Sydney, Australia using statistical and dynamical downscaling approaches. Hydrol. Res. 2014, 45(2):226-249. 10.2166/nh.2013.094.
26. Mpelasoka F.S., Chiew F.H.S. Influence of rainfall scenario construction methods on runoff projections. J. Hydrometeorol. 2009, 10:1168-1183.
27. Piani C., Haerter J.O., Coppola E. Statistical bias correction for daily precipitation in regional climate models over Europe. Theor. Appl. Climatol. 2010, 99:187-192. 10.1007/s00704-009-0134-9.
28. Rajagopalan B., Lall U. A k-nearest-neighbor simulator for daily precipitation and other weather variables. Water Resour. Res. 1999, 35:3089-3101.
29. Salas J.D., Deulleur J.W., Yevjevich V., Lane W.L. Applied Modelling of Hydrologie Time Series 1980, Water Resources Publ., Littleton, Colorado, USA.
30. Salas J.D., Tabios Q.B., Bartolfni P. Approaches to multivariate modelling of water resources time series. Water Resour. Bull. 1985, 21(4):683-708.
31. Sharma A., Lall U. A nonparametric approach for daily rainfall simulation. Math. Comput. Simul. 1999, 48:361-371.
32. Sharma A., Mehrotra R. An information theoretic alternative to model a natural system using observational information alone. Water Resour. Res. 2014, 50:650-660. 10.1002/2013WR013845.
33. Solomon, S., Qin, D., Manning, M., Alley, R.B., Berntsen, T., Bindoff, N.L., Chen, Z., Chidthaisong, A., Gregory, J.M., Hegerl, G.C., Heimann, M., Hewitson, B., Hoskins, B.J., Joos, F., Jouzel, J., Kattsov, V., Lohmann, U., Matsuno, T., Molina, M., Nicholls, N., Overpeck, J., Raga, G., Ramaswamy, V., Ren, J., Rusticucci, M., Somerville, R., Stocker, T.F., Whetton, P., Wood, R.A., Wratt, D., 2007. Technical Summary. In: Solomon, S., Qin, D., Manning, M., Chen, Z., Marquis, M., Averyt, K.B., Tignor, M., Miller, H.L. (Eds.), Climate Change 2007: The Physical Science Basis, Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, UK.
34. Srikanthan R., Pegram G.G.S. A nested multisite daily rainfall stochastic generation model. J. Hydrol. 2009, 371:142-153. 10.1016/j.jhydrol.2009.03.025.
35. Vicuna S., Murer P.E., Joyce B., Dracup J.A., Purkey D. The sensitivity of California water resources to climate change scenarios. J. A. Water Resour. Association 2007, 43:482-499.
36. Wilby, R.L., Charles, S.P., Zorita, E., Timbal, B., Whetton, P., Mearns, L.O., 2004. Guidelines for use of Climate Scenarios Developed from Statistical Downscaling Methods, IPCC Task Group on Scenarios for Clim. Impact Assess., Geneva, Switzerland.
37. Wood A.W., Leung L.R., Sridhar V., Lettenmaier D.P. Hydrologic implications of dynamical and statistical approaches to downscaling climate model outputs. Clim. Change 2004, 62:189-216.