How Well Do Gridded Datasets of Observed Daily Precipitation Compare over Australia?

Advances in Meteorology

Volumn 2015, Issue , 2015, Pages

  Contractor, Steefan ^a   Alexander, Lisa V ^a   Donat, Markus G ^a   Herold, Nicholas ^a  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84942292135     PISSN: 16879309     EISSN: 16879317     Source Type: Journal    
DOI: 10.1155/2015/325718     Document Type: Article

References (56)

1. A. Aghakouchak, A. Mehran, H. Norouzi, and A. Behrangi, "Systematic and rand omerror components in satellite precipitation data sets," Geophysical Research Letters, vol. 39, no. 9, pp. 3-6, 2012.
2. H. Yin, M. G. Donat, L. V. Alexander, and Y. Sun, "Multi-dataset comparison of gridded observed temperature and precipitation extremes over China," International Journal of Climatology, vol. 35, no. 10, pp. 2809-2827, 2015.
3. A. Aghakouchak, A. Behrangi, S. Sorooshian, K. Hsu, and E. Amitai, "Evaluation of satellite-retrieved extreme precipitation rates across the central United States," Journal of Geophysical Research: Atmospheres, vol. 116, no. 2, Article ID D02115, 2011.
4. A. D. King, L. V. Alexander, and M. G. Donat, "The efficacy of using gridded data to examine extreme rainfall characteristics: a case study for Australia," International Journal of Climatology, vol. 33, no. 10, pp. 2376-2387, 2013.
5. N. Hofstra, M. New, and C. McSweeney, "The influence of interpolation and station network density on the distributions and trends of climate variables in gridded daily data," Climate Dynamics, vol. 35, no. 5, pp. 841-858, 2010.
6. N. Hofstra, M. Haylock, M. New, P. Jones, and C. Frei, "Comparison of six methods for the interpolation of daily, European climate data," Journal of Geophysical Research, vol. 113, no. 21, Article ID D21110, 2008.
7. A. Yatagai, K. Kamiguchi, O. Arakawa, A. Hamada, N. Yasutomi, and A. Kitoh, "Aphrodite constructing a long-term daily gridded precipitation dataset for Asia based on a dense network of rain gauges," Bulletin of the American Meteorological Society, vol. 93, no. 9, pp. 1401-1415, 2012.
8. D. A. Jones, W. Wang, and R. Fawcett, "High-quality spatial climate data-sets for Australia," Australian Meteorological and Oceanographic Journal, vol. 58, no. 4, pp. 233-248, 2009.
9. C. G. Menéndez, M. De Castro, A. Sörensson, and J.-P. Boulanger, "CLARIS project: towards climate downscaling in South America," Meteorologische Zeitschrift, vol. 19, no. 4, pp. 357-362, 2010.
10. E. J. Klok and A. M. G. K. Tank, "Updated and extended European dataset of daily climate observations," International Journal of Climatology, vol. 29, no. 8, pp. 1182-1191, 2009.
11. B. Mueller, S. I. Seneviratne, C. Jimenez et al., "Evaluation of global observations-based evapotranspiration datasets and IPCC AR4 simulations," Geophysical Research Letters, vol. 38, no. 6, 2011.
12. C.-T. Chen and T. Knutson, "On the verification and comparison of extreme rainfall indices from climate models," Journal of Climate, vol. 21, no. 7, pp. 1605-1621, 2008.
13. R. J. H. Dunn, M. G. Donat, and L. V. Alexander, "Investigating uncertainties in global gridded datasets of climate extremes," Climate of the Past, vol. 10, no. 6, pp. 2171-2199, 2014.
14. M. New, M. Todd, M. Hulme, and P. Jones, "Precipitation measurements and trends in the twentieth century," International Journal of Climatology, vol. 21, no. 15, pp. 1899-1922, 2001.
15. R. J. Joyce, J. E. Janowiak, P. A. Arkin, and P. Xie, "CMORPH: a method that produces global precipitation estimates from passive microwave and infrared data at high spatial and temporal resolution," Journal of Hydrometeorology, vol. 5, no. 3, pp. 487-503, 2004.
16. S. Sorooshian, K.-L. Hsu, X. Gao, H. V. Gupta, B. Imam, and D. Braithwaite, "Evaluation of PERSIANN system satellitebased estimates of tropical rainfall," Bulletin of the American Meteorological Society, vol. 81, no. 9, pp. 2035-2046, 2000.
17. G. J. Huffman, R. F. Adler, D. T. Bolvin et al., "The TRMM Multisatellite Precipitation Analysis (TMPA): quasi-global, multiyear, combined-sensor precipitation estimates at fine scales," Journal of Hydrometeorology, vol. 8, no. 1, pp. 38-55, 2007.
18. M. B. Sylla, F. Giorgi, E. Coppola, and L. Mariotti, "Uncertainties in daily rainfall over Africa: assessment of gridded observation products and evaluation of a regional climate model simulation," International Journal of Climatology, vol. 33, no. 7, pp. 1805-1817, 2013.
19. D. A. Jones, W. Wang, and R. Fawcett, Australian Water Availability Project Daily 672 Gridded Rainfall, 2014, http://www.bom.gov.au/jsp/awap/rain/index.jsp.
20. G. J. Huffman, E. F. Stocker, D. T. Bolvin, E. J. Nelkin, and R. F. Adler, "TRMM Version 7 3B42," NASA/GSFC, Greenbelt, Md, USA, 2014, http://mirador. gsfc. nasa. gov/cgi-bin/mirador/present Navigation. pl?tree=project&dataset=TRMM 3B42 daily. 007& project=TRMM&dataGroup=Gridded&version=007.
21. G. J. Huffman, R. F. Adler, M. M. Morrissey et al., "Global precipitation at one-degree daily resolution from multisatellite observations," Journal of Hydrometeorology, vol. 2, no. 1, pp. 36-50, 2001.
22. G. J. Huffman, R. F. Adler, M. M. Morrissey et al., Global Precipitation One-Degree Daily Data Set, NASA/GSFC, Greenbelt, Md, USA, 2014, ftp://ftp. cgd. ucar. edu/archive/PRECIP/.
23. P. W. Jones, "First-and second-order conservative remapping schemes for grids in spherical coordinates," Monthly Weather Review, vol. 127, no. 9, pp. 2204-2210, 1999.
24. M. J. Menne, I. Durre, R. S. Vose, B. E. Gleason, and T. G. Houston, "An overview of the global historical climatology network-daily database," Journal of Atmospheric and Oceanic Technology, vol. 29, no. 7, pp. 897-910, 2012.
25. M. J. Menne, I. Durre, B. Korzeniewski et al., Global Historical Climatology Network-Daily (GHCN-Daily), Version 3. 20-upd-2015011506, NOAA National Climatic Data Center, 2012, ftp://ftp. ncdc. noaa. gov/pub/data/ghcn/daily.
26. D. A. Jones, W. Wang, and R. Fawcett, "Climate Data for the AustralianWater Availability Project," 2007.
27. G. J. Huffman, R. F. Adler, P. Arkin et al., "The global precipitation climatology project (GPCP) combined precipitation dataset," Bulletin of the American Meteorological Society, vol. 78, no. 1, pp. 5-20, 1997.
28. O. Tveito, "Spatialisation of climatological and meteorological information with the support of GIS (Working Group 2)," in The Use of Geographic Information Systems in Climatology and Meteorology, 2006.
29. D. Kurtzman and R. Kadmon, "Mapping of temperature variables in Israel: a comparison of different interpolation methods," Climate Research, vol. 13, no. 1, pp. 33-43, 1999.
30. C. Daly, "Guidelines for assessing the suitability of spatial climate data sets," International Journal of Climatology, vol. 26, no. 6, pp. 707-721, 2006.
31. K. Stahl, R. D. Moore, J. A. Floyer, M. G. Asplin, and I. G. McKendry, "Comparison of approaches for spatial interpolation of daily air temperature in a large region with complex topography and highly variable station density," Agricultural and Forest Meteorology, vol. 139, no. 3-4, pp. 224-236, 2006.
32. S. S. P. Shen, P. Dzikowski, G. Li, and D. Griffith, "Interpolation of 1961-97 daily temperature and precipitation data onto alberta polygons of ecodistrict and soil land scapes of Canada," Journal of Applied Meteorology, vol. 40, no. 12, pp. 2162-2177, 2001.
33. H. Akima, "Algorithm 761: scattered-data surface fitting that has the accuracy of a cubic polynomial," ACM Transactions on Mathematical Software, vol. 22, no. 3, pp. 362-371, 1996.
34. H. Akima, "A new method of interpolation and smooth curve fitting based on local procedures," Journal of the ACM, vol. 17, no. 4, pp. 589-602, 1970.
35. C. H. Jarvis and N. Stuart, "A comparison among strategies for interpolating maximum and minimum daily air temperatures. Part II. The interaction between number of guiding variables and the type of interpolation method," Journal of Applied Meteorology, vol. 40, no. 6, pp. 1075-1084, 2001.
36. H. Akima, "A method of bivariate interpolation and smooth surface fitting for irregularly distributed data points," ACM Transactions on Mathematical Software, vol. 4, no. 2, pp. 148-159, 1978.
37. F. J. Moral, "Comparison of different geostatistical approaches to map climate variables: application to precipitation," International Journal of Climatology, vol. 30, no. 4, pp. 620-631, 2010.
38. R. Sibson, "A brief description of natural neighbour interpolation," in Interpreting Multivariate Data, vol. 21, pp. 21-36, 1981.
39. S. E. Koch, M. Desjardins, and P. J. Kocin, "An interactive Barnes objective map analysis scheme for use with satellite and conventional data. ," Journal of Climate & Applied Meteorology, vol. 22, no. 9, pp. 1487-1503, 1983.
40. S. K. Sinha and S. G. Narkhedkar, "Barnes objective analysis scheme of daily rainfall over Maharashtra (India) on a mesoscale grid," Atmósfera, vol. 19, no. 2, pp. 109-126, 2006.
41. G. Weymouth, G. A. Mills, D. Jones, E. E. Ebert, and M. J. Manton, "A continental-scale daily rainfall analysis system," The Australian Meteorological Magazine, vol. 48, pp. 169-179, 1999.
42. S. L. Barnes, Mesoscale Objective Map Analysis Using Weighted Time-series Observations, 1973.
43. C. V. Deutsch, "Correcting for negative weights in ordinary kriging," Computers and Geosciences, vol. 22, no. 7, pp. 765-773, 1996.
44. P. Holper, "Climate Change, Science Information Paper: Australian Rainfall: Past, Present and Future," 2011.
45. A. Behrangi, M. Lebsock, S. Wong, and B. Lambrigtsen, "On the quantification of oceanic rainfall using spaceborne sensors," Journal of Geophysical Research: Atmospheres, vol. 117, no. 20, Article ID D20105, 2012.
46. A. Behrangi, G. Stephens, R. F. Adler, G. J. Huffman, B. Lambrigtsen, and M. Lebsock, "An update on the oceanic precipitation rate and its zonal distribution in light of advanced observations from space," Journal of Climate, vol. 27, no. 11, pp. 3957-3965, 2014.
47. L. Alexander and C. Tebaldi, "Climate and weather extremes: observations, modelling and projections," in The Future of the Worlds Climate, pp. 253-288, Elsevier, Amsterdam, The Netherland s, 2012.
48. G. J. Huffman, A. Pendergrass, and National Center for Atmospheric Research Staff, Eds., TRMM: Tropical Rainfall Measuring Mission, The Climate Data Guide, 2015, https:// climatedataguide.ucar.edu/climate-data/trmm-tropical-rainfallmeasuring-mission.
49. D. W. Pierce, T. P. Barnett, B. D. Santer, and P. J. Gleckler, "Selecting global climate models for regional climate change studies," Proceedings of the National Academy of Sciences of the United States of America, vol. 106, no. 21, pp. 8441-8446, 2009.
50. D. Krige, "A statistical approach to some basic mine valuation problems on the Witwatersrand ," Journal of the Chemical, Metallurgical and Mining Society of South Africa, vol. 52, no. 6, pp. 119-139, 1951.
51. Z. Kebaili Bargaoui and A. Chebbi, "Comparison of two kriging interpolation methods applied to spatiotemporal rainfall," Journal of Hydrology, vol. 365, no. 1-2, pp. 56-73, 2009.
52. U. Haberlandt, "Geostatistical interpolation of hourly precipitation fromrain gauges and radar for a large-scale extreme rainfall event," Journal of Hydrology, vol. 332, no. 1-2, pp. 144-157, 2007.
53. P. Goovaerts, "Geostatistical approaches for incorporating elevation into the spatial interpolation of rainfall," Journal of Hydrology, vol. 228, no. 1-2, pp. 113-129, 2000.
54. K. N. Dirks, J. E. Hay, C. D. Stow, and D. Harris, "Highresolution studies of rainfall on Norfolk Island Part II: interpolation of rainfall data," Journal of Hydrology, vol. 208, no. 3-4, pp. 187-193, 1998.
55. R. D. C. Team, R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing, Vienna, Austria, 2008.
56. Mini-Language Reference, "NCAR Command Language," National Center for Atmospheric Research, 2013, http://www . ncl. ucar. edu/Document/Manuals/Ref Manual/.