Reanalysis: Data assimilation for scientific investigation of climate

Data Assimilation: Making Sense of Observations

Volumn , Issue , 2010, Pages 623-646

  Rood, Richard B ^a   Bosilovich, Michael G ^b  

^a UNIVERSITY OF MICHIGAN   (United States)

^b NASA GODDARD SPACE FLIGHT CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84895200228     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-3-540-74703-1_23     Document Type: Chapter

References (64)

1. Adler, R. F., G. J. Huffman, A. Chang, et al., 2003. The version-2 global precipitation climatology project (GPCP) monthly precipitation analysis (1979-present). J. Hydrometeor., 4, 1147-1167.
2. Bengtsson, L., P. Arkin, P. Berrisford, et al., 2007. The need for dynamical climate assimilation. Bull. Amer. Meteorol. Soc., 88, 495-501.
3. Bengtsson, L., S. Hagemann and K. I. Hodges, 2004. Can climate trends be calculated from reanalysis data? J. Geophys. Res., 109, D11111, doi:10.1029/2004JD004536.
4. Bengtsson, L. and J. Shukla, 1988. Integration of space and in situ observations to study global climate change, Bull. Amer. Meteorol. Soc., 69, 1130-1143.
5. Betts, A. K., 2004. Understanding hydrometeorology using global models. Bull. Amer. Meteorol. Soc., 85, 1673-1688.
6. Betts, A. K. and M. G. Bosilovich, 2008. Comparison of MERRA with ERA-40 on river basin scales. Session on Advances in Atmospheric Reanalyses, American Meteorological Society Annual Meeting, New Orleans, LA, January 23, 2008.
7. Betts, A. K., M. Zhao, P. A. Dirmeyer and A. C. M. Beljaars, 2006. Comparison of ERA40 and NCEP/DOE near-surface datasets with other ISLSCP-II datasets. J. Geophys. Res., 111, D22S04, doi:10.1029/2006JD007174.
8. Bey, I., D. J. Jacob, R. M. Yantosca, et al., 2001. Global modeling of tropospheric chemistry with assimilated meteorology: Model description and evaluation. J. Geophys. Res., 106, 23073-23095.
9. Bosilovich, M. G., J. Chen, F. R. Robertson and R. F. Adler, 2008. Evaluation of global precipitation in reanalyses. J. Appl. Meteor. and Climat., 47, 2279-2299.
10. Bosilovich, M. G., D. Mocko, J. O. Roads and A. Ruane, 2009. A multi-model analysis for the Coordinated Enhanced Observing Period (CEOP). J. Hydrometeorol., 10, 912-934.
11. Bosilovich, M. G. and S. D. Schubert, 2001. Precipitation recycling over the central United States as diagnosed from the GEOS1 Data Assimilation System. J. Hydrometeorol., 2, 26-35.
12. Bromwich, D. H., A. N. Rogers, P. Kållberg, et al., 2000. ECMWF analyses and reanalyses depiction of ENSO signal in Antarctic precipitation. J. Climate, 13, 1406-1420.
13. Bromwich, D. H., R. L. Fogt, K. I. Hodges and J. E. Walsh, 2007. A tropospheric assessment of the ERA-40, NCEP, and JRA-25 global reanalyses in the polar regions. J. Geophys. Res., 122, D10111, doi: 10.1029/2006JD007859.
14. Chen J., A. D. Del Genio, B. E. Carlson and M. G. Bosilovich, 2008a. The spatiotemporal structure of 20th century climate variations in observations and reanalyses. Part I: Long-term trend. J. Climate, 21, 2611-2633.
15. Chen J., A. D. Del Genio, B. E. Carlson and M. G. Bosilovich, 2008b. The spatiotemporal structure of 20th century climate variations in observations and reanalyses. Part II: Pacific pan-decadal variability. J. Climate, 21, 2634-2650.
16. Compo, G. P., J. S. Whitaker and P. D. Sardeshmukh, 2006. The feasibility of a 100-year reanalysis using only surface pressure data. Bull. Amer. Meteorol. Soc, 87, 175-190.
17. Cullather R. I., D. H. Bromwich and M. L. Van Woert, 1998. Spatial and temporal variability of Antarctic precipitation from atmospheric methods. J. Climate, 11, 334-367.
18. Dee, D. P., 2005. Bias and data assimilation. Q. J. R. Meteorol. Soc., 131, 3323-3342.
19. Dee, D. P. and A. da Silva, 1998. Data assimilation in the presence of forecast bias. Q. J. R. Meteorol. Soc., 124, 269-295.
20. Douglass, A. R., M. R. Schoeberl, R. B. Rood and S. Pawson, 2003. Evaluation of transport in the Lower Tropical Stratosphere in a global chemistry and transport model. J. Geophys. Res., 108, Art. No. 4259.
21. Fekete, B. M., C. J. Vorosmarty, J. O. Roads and C. J. Willmott, 2004. Uncertainties in Precipitation and their impacts on runoff estimates. J. Climate, 17, 294-302.
22. Gibson, J. K., P. Kållberg, S. Uppala, et al., 1997. ERA Description, ECMWF Re-analysis Final Report Series, 1.
23. Hagemann, S. and L. D. Gates, 2001. Validation of the hydrological cycle of ECMWF and NCEP reanalyses using the MPI hydrological discharge model. J. Geophys. Res., 106, 1503-1510.
24. Haimberger, L., 2006. Homogenization of radiosonde temperature time series using innovation statistics. J. Climate, 20, 1377-1403.
25. Hou, A. Y., S. Q. Zhang, A. M. da Silva, et al., 2001. Improving global analysis and short-range forecast using rainfall and moisture observations derived from TRMM and SSM/I passive microwave sensors. Bull. Amer. Meteorol. Soc., 81, 659-679.
26. Hou, A. Y., S. Q. Zhang and O. Reale, 2002. Variational continuous assimilation of TMI and SSM/I rain rates: Impact on GEOS-3 analysis and forecasts. Mon. Weather Rev., 132, 2094-2109.
27. Kalnay, E. and R. Jenne, 1991. Summary of the NMC/NCAR Reanalysis Workshop of April 1991. Bull. Amer. Meteorol. Soc., 72, 1897-1904.
28. Kalnay E., M. Kanamitsu, R. Kistler, et al., 1996. The NCEP/NCAR 40-year reanalysis project. Bull. Amer. Meteorol. Soc., 77, 437-471.
29. Kanamitsu, M., W. Ebisuzaki, J. Woollen, et al., 2002. NCEP-DOE AMIP-II reanalysis (R-2). Bull. Amer. Meteorol. Soc., 83, 1631-1643.
30. Kistler R., E. Kalnay, W. Collins, et al., 2001. The NCEP/NCAR 50-year Reanalysis: Monthly means CD-ROM and documentation. Bull. Amer. Meteorol. Soc., 82, 247-267.
31. Lait, L. R., 2002. Systematic differences between radiosonde measurements. Geophys. Res. Lett., 29, doi:10.1029/2001GL014337.
32. Lin, S. J., 2004. A "vertically Lagrangian" finite-volume dynamical core for global models. Mon. Weather Rev, 132, 2293-2307.
33. Mesinger, F., G. DiMego, E. Kalnay, et al., 2006. North American regional reanalysis. Bull. Amer. Meteorol. Soc., 87, 343-360.
34. Newman M., P. D. Sardeshmukh and J. W. Bergman, 2000. An assessment of the NCEP, NASA, and ECMWF reanalyses over the tropical west Pacific warm pool. Bull. Amer. Meteorol. Soc., 81, 41-48.
35. Newson, R., 1998. Results of the WCRP First International Conference on Reanalysis, GEWEX News, 8, 3-4.
36. Onogi, K., 2000. ERA-40 Project Report Series 2. The long-term performance of the radiosonde observing system to be used in ERA-40, European Centre for Medium-Range Weather Forecasts, August 2000, 77pp.
37. Onogi, K., J. Tsutsui, H. Koide, et al., 2007. The JRA-25 reanalysis. J. Meteor. Soc. Jpn., 85, 369-432.
38. Ozone Trends Panel, 1988. WMO Report of the International Ozone Trends Panel. World Meteorological Organization Global Ozone Research and Monitoring Project, Report No. 18.
39. Pavelsky, T. M. and L. C. Smith, 2006. Intercomparison of four global precipitation datasets and their correlation with increased Eurasian river discharge to the Arctic Ocean. J. Geophys. Res., 111, D21112, doi:10.1029/2006JD007230.
40. Pawson, S., I. Štajner, S. R. Kawa, H. Hayashi, W.-W. Tan, J. E. Nielsen, Z. Zhu, L.-P. Chang and N. J. Livesey, 2007. Stratospheric transport using 6-h-averaged winds from a data assimilation system. J. Geophys. Res., 112, D23103, doi:10.1029/2006JD007673.
41. Redder, C. R., J. K. Luers and R. E. Eskridge, 2004. Unexplained discontinuity in the U. S. radiosonde temperature data, Part II: Stratosphere. J. Atmos. Oceanic Tech., 21, 1133-1144.
42. Roads J. and A. K. Betts, 2000. NCEP-NCAR and ECMWF Reanalysis surface water and energy budgets for the Mississippi River Basin. J. Hydrometeorol., 1, 88-94.
43. Rood, R. B., 2003. Reanalysis. In Data Assimilation for the Earth System. NATO Science Series: IV. Earth and Environmental Sciences 26, Swinbank, R., V. Shutyaev and W. A. Lahoz (eds.), Kluwer Academic Publishers, Dordrecht, The Netherlands, pp 361-372, 378pp.
44. Rood, R. B., D. J. Allen, W. Baker, et al., 1989. The use of assimilated stratospheric data in constituent transport calculations. J. Atmos. Sci., 46, 687-701.
45. Santer, B. D., T. M. L. Wigley, A. J. Simmons, et al., 2004. Identification of anthropogenic climate change using a second-generation reanalysis. J. Geophys. Res., 109, D21104, doi:10.1029/2004JD005075.
46. Schoeberl, M. R., A. R. Douglass, Z. Zhu and S. Pawson, 2003. A comparison of the lower stratospheric age-spectra derived from a general circulation model and two data assimilation systems. J. Geophys. Res., 108, Art. No. 4113.
47. Schubert, S. D. and Y. Chang, 1996. An objective method for inferring sources of model error. Mon. Weather Rev., 124, 325-340.
48. Schubert S. D., R. B. Rood and J. Pfaendtner, 1993. An assimilated dataset for earth-science applications. Bull. Amer. Meteorol. Soc., 74, 2331-2342.
49. Serreze, M. C., M. P. Clark and D. H. Bromwich, 2003. Monitoring precipitation over the Arctic terrestrial drainage system: Data requirements, shortcomings, and applications of atmospheric reanalysis. J. Hydrometeorol., 4, 387-407.
50. Serreze, M. C. and C. M. Hurst, 2000. Representation of Arctic precipitation from NCEP-NCAR and ERA Reanalyses. J. Climate, 13, 182-201.
51. Simmons, A. J., P. D. Jones, V. da Costa Bechtold, et al., 2004. Comparison of trends and lowfrequency variability in CRU, ERA-40, and NCEP/NCAR analyses of surface air temperature. J. Geophys. Res., 109, D24115, doi:10.1029/2004JD005306.
52. Štajner, I., N. Winslow, R. B. Rood and S. Pawson, 2004. Monitoring of observation errors in the assimilation of satellite ozone data, J. Geophys. Res., 109, D06309, doi:10.1029/2003JD004118.
53. Stohl, A., O. R. Cooper and P. James, 2004. A cautionary note on the use of meteorological analysis fields for quantifying atmospheric mixing. J. Atmos. Sci., 61, 1446-1453.
54. Tan, W.-W., M. A. Geller, S. Pawson and A. da Silva, 2004. A case study of excessive subtropical transport in the stratosphere of a data assimilation system. J. Geophys. Res., 109, Art. No. D11102.
55. Trenberth, K. E., J. T. Fasullo and J. Kiehl, 2008a. Earth's global energy budget. Bull. Amer. Meteorol. Soc., doi:10.1175/2008BAMS2634.1.
56. Trenberth, K. E., T. R. Karl. and T. W. Spence, 2002. The need for a systems approach to climate observations. Bull. Amer. Meteorol., Soc, 83, 1593-1602.
57. Trenberth, K. E., T. Koike and K. Onogi, 2008b. Progress and prospects for reanalysis for weather and climate, Eos, Trans. Amer. Geophys. Union, 89, 234-235.
58. Trenberth, K. E. and J. G. Olson, 1988. An evaluation and intercomparison of global analyses from NMC and ECMWF. Bull. Amer. Meteorol. Soc., 69, 1047-1057.
59. Trenberth, K. E. and L. Smith, 2008. Atmospheric energy budgets in the Japanese Reanalysis: Evaluation and variability. J. Meteor. Soc. Jpn., 86, 579-592.
60. Trenberth, K. E. and L. Smith, 2009. The three dimensional structure of the atmospheric energy budget: Methodology and evaluation. Climate Dyn., 32, doi:10.1007/s00382-008-0389-3.
61. Uppala, S. M., P. W. Kållberg, A. J. Simmons, et al., 2005. The ERA-40 re-analysis. Q. J. R. Meteorol. Soc., 131, 2961-3012.
62. Viterbo, P. and A. K. Betts, 1999. Impact of the ECMWF reanalysis soil water on forecasts of the July 1993 Mississippi flood. J. Geophys. Res., 104, 19361-19366.
63. WCRP, 1998. Proceedings of the 1st WCRP International Conference on Reanalyses. Silver Spring, MD, USA, 27-31 October, 1997, WMO/TD-N 876.
64. WCRP, 2000. Proceedings of the 2nd WCRP International Conference on Reanalyses. Wo ke fi el d Park, nr. Reading, UK, 23-27 August 1999, WCRP-109, WMO/TD-N 985.