Abstract
Anthropogenic forced climate change is expected to result in changes in both the mean climate state and climate extremes. Documenting changes in extremes, such as drought, heavy precipitation, heat waves or tropical storms requires long-term observations of climate at sufficiently high temporal resolution to identify individual extreme events and is spatially complete enough to use at both global and regional scales. This chapter discusses various data sets that are suitable for examining changes in extremes in the observed record. Issues discussed include problems with data quality, such as data homogeneity and data availability. Data sets discussed include global sets for monthly and daily temperature and precipitation, tropical cyclones, and reanalyses. In addition, a brief section on climate observing networks is included outlining new networks in the U.S. and Canada that have been designed to alleviate many of the problems discussed here.
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Adler RF, Huffman GJ, Chang A, Ferraro R, Xie P, Janowiak J, Rudolf B, Schneider U, Curtis S, Bolvin D, Gruber A, Susskind J, Arkin P (2003) The Version 2 Global Precipitation Climatology Project (GPCP) monthly precipitation analysis (1979-present). J Hydrometeorol 4:1147–1167
Alexander LV et al (2006) Global observed changes in daily climate extremes of temperature and precipitation. J Geophys Res Atmos 111:D05109. doi:10.1029/2005JD006290
Brown SJ, Caesar J, Ferro CAT (2008) Global changes in extreme daily temperature since 1950. J Geophys Res Atmos 113:D05115
Chen JL, Wilson CR, Tapley BD, Yang ZL, Niu GY (2009) 2005 drought event in the Amazon River basin as measured by GRACE and estimated by climate models. J Geophys Res Solid Earth 114, Art. No.B05404
Compo G et al (2011) The twentieth-century reanalysis project. Q J R Meteorol Soc 137. doi:10.112/qj.776
DeGaetano AT (2009) Time-dependent changes in extreme-precipitation return-period amounts in the Continental United States. J Appl Meteorol Climatol 48:2086–2099
Della-Marta PM, Wanner H (2006) A method of homogenizing the extremes and mean of daily temperature measurements. J Climate 19:4179–4197
Doesken NJ (2003) Challenge of snow measurements. Chapter 50. In: Potter TD, Colman BR (eds) Handbook of weather, climate, and water: dynamics, climate, physical meteorology, weather systems, and measurements. Wiley, Hoboken, pp 927–949
Durre I, Menne MJ, Vose RS (2008) Strategies for evaluating quality-control procedures. J Clim Appl Meteorol 47:1785–1791
Easterling DR (2002) Recent changes in frost days and the frost-free season in the United States. Bull Am Meteorol Soc 83:1327–1332
Easterling DR, Karl TR, Mason EH, Hughes PY, Bowman DP (1996) United States Historical Climatology Network (U.S. HCN) monthly temperature and precipitation data. ORNL/CDIAC-87. Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, U.S. Department of Energy, Oak Ridge, Tennessee
Easterling DR, Karl TR, Lawrimore JH, Del Greco SA (1999a) United States Historical Climatology Network daily temperature, precipitation, and snow data for 1871–1997. ORNL/CDIAC-118. Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, U.S. Department of Energy, Oak Ridge, Tennessee
Easterling DR, Diaz HF, Douglas AV, Hogg WD, Kunkel KE, Rogers JC, Wilkinson JF (1999b) Long-term observations for monitoring climate extremes in the Americas. Clim Chang 42:285–308
Easterling DR, Meehl G, Changnon S, Parmesan C, Karl TR, Mearns LO (2000) Climate extremes: observations, modeling, and impacts. Science 289:2068–2074
Frich P, Alexander LV, Della-Marta P, Gleason B, Haylock M, Klein Tank AMG, Peterson T (2002) Observed coherent changes in climatic extremes during the second half of the twentieth century. Clim Res 19:193–212
Groisman PY, Karl TR, Easterling DR, Knight RW, Jamason PF, Hennessy KJ, Ramasamy S, Page CP, Wibig J, Fortuniak K, Razuvaev V, Douglas AV, Forland E, Zhai P-M (1999) Changes in the probability of extreme precipitation: important indicators of climate change. Clim Chang 42:243–283
Groisman PY, Knight RW, Easterling DR, Karl TR, Hegerl GC (2005) Trends in intense precipitation in the climate record. J Climate 18:1326–1350
Harris I, Jones PD, Osborn TJ, Lister DH (2) Updated high-resolution grids of monthly climatic observations – the CRU TS 3.1 Dataset. Int J Climatol, in review
Haylock M, Nicholls N (2000) Trends in extreme rainfall indices for an updated high quality data set for Australia, 1910–1998. Int J Climatol 20:1533–1541
Haylock MR, Hofstra N, Klein Tank AMG, Klok EJ, Jones PD, New M (2008) A European daily high-resolution gridded data set of surface temperature and precipitation for 1950–2006. J Geophys Res 113:D20119. doi:10.1029/2008JD010201
Huffman GJ, Adler RF, Morrissey M, Bolvin DT, Curtis S, Joyce R, McGavock B, Susskind J (2001) Global precipitation at one-degree daily resolution from multi-satellite observations. J Hydrometeorol 2:36–50
Jones PD, Lister DH, Osborn TJ, Harpham C, Salmon M, Morice CP (2) Hemispheric and large-scale land surface air temperature variations: an extensive revision and an update to 2010. J Geophys Res. doi:10.1029/2011JK017139
Kalnay E et al (1996) The NCEP/NCAR 40-year reanalysis project. Bull Am Meteorol Soc 77:437–471
Karl TR, Williams CN, Young PJ (1986) A model to estimate the time of observation bias associated with monthly mean maximum, minimum, and mean temperatures for the United States. J Clim Appl Meteorol 25:145–160
Karl TR, Knight RW (1998) Secular trends of precipitation amount, frequency, and intensity in the United States. Bull Am Meteorol Soc 79(2):231–241
Karl TR, Derr V, Easterling DR, Folland CK, Hofmann D, Levitus S, Nicholls N, Parker D, Withee G (1995) Critical issues for long-term climate monitoring. Clim Chang 31:185–221
Karl TR et al (2010) Observation needs for climate information, prediction and application: capabilities of existing and future observing systems. Proc Environ Sci 1. doi:10.1016/j.proenv.2010.09.013
Knapp KR, Kruk MC (2010) Quantifying inter-agency differences in tropical cyclone best track wind speed estimates. Mon Weather Rev 138(4):1459–1473
Knapp KR, Kruk M, Levinson D, Diamond H, Neumann C (2010) The International Best Track Archive for Climate Stewardship (IBTrACS): unifying tropical cyclone best track data. Bull Am Meteorol Soc 91:363–376. doi:10.1175/2010BAMS2930.1
Kunkel KE, Andsager K, Easterling DR (1999) Trends in heavy precipitation events over the continental U.S. J Climate 12:2515–2527
Kunkel KE, Easterling DR, Redmond K, Hubbard K (2003) Temporal variations of extreme precipitation events: 1895–2000. Geophys Res Lett 30(17):1900. doi:10.1029/2003GL018052,2003, 4 pp
Kunkel KE, Palecki M, Hubbard K, Robinson D, Redmond K, Easterling DR (2007) Trend identification in twentieth-century U.S. snowfall: the challenges. J Atmos Ocean Technol 24:64–73
Kunkel KE et al. (2008) Observed changes in weather and climate extremes. In: Karl TR, Meehl GA, Miller CD, Hassol SJ, Waple AM, Murray WL (eds) Weather and climate extremes in a changing climate. Regions of focus: North America, Hawaii, Caribbean, and U.S. Pacific Islands. A report by the U.S. Climate Change Science Program and the Subcommittee on Global Change Research. Washington, DC
Landsea CW, Anderson C, Charles N, Clark G, Dunion J, Fernandez-Partagas J, Hungerford P, Neumann C, Zimmer M (2004) The Atlantic hurricane database re-analysis project: documentation for the 1851–1910 alterations and additions to the HURDAT database. In: Murnane RJ, Liu KB (eds) Hurricanes and typhoons: past, present and future. Columbia University Press, New York, pp 177–221
Lawrimore JH, Menne MJ, Gleason BE, Williams CN, Wuertz DB, Vose RS, Rennie J (2011) An overview of the global historical climatology network monthly mean temperature data set, version 3. J Geophys Res 116:D19121. doi:10.1029/2011JD016187
Meehl GA, Tebaldi C, Walton G, Easterling D, McDaniel L (2009) Relative increase of record high maximum temperatures compared to record low minimum temperatures in the US. Geophys Res Lett 36. doi:10.1029/2009GL040736
Menne MJ, Durre I, Vose RS, Gleason BE, Houston TG (2) An overview of the global historical climatology network-daily database. J Atmos Oceanic Technol 29:897–910. doi: http://dx.doi.org/10.1175/JTECH-D-11-00103.1
Menne MJ, Williams CN Jr (2009) Homogenization of temperature series via pairwise comparisons. J Climate 22(7):1700–1717
Morrice CP, Kennedy JJ, Rayner NA, Jones PD (2) Quanitifying uncertainties in global and regional temperature change using an ensemble of observational estimates: the HadCRUT4 data set. J Geophys Res. doi:10.1029/2011JK017187
Peterson TC, Vose RS (1997) An overview of the global historical climatology network temperature database. Bull Am Meteorol Soc 78:2837–2848
Rudolf B, Becker A, Schneider U, Meyer-Christoffer A, Ziese M (2011) New GPCC full data reanalysis version 5 provides high-quality gridded monthly precipitation data. GEWEX News 21(2):4–5
Sapiano MRP, Arkin PA (2009) An intercomparison and validation of high-resolution satellite precipitation estimates with 3-hourly gauge data. J Hydrometeorol 10(1):149–166
Seneviratne S, Nichols N, Easterling D, Goodess C, Kanae S, Kossin J, Luo Y, Marengo J, McInnes K, Rahimi M, Reichstein M, Sorteberg A, Vera C, Zhang X (2) Changes in climate extremes and their impacts on the natural physical environment. Chapter 3. In: IPCC special report on managing the risks of extreme events and disasters to advance climate change adaptation. Cambridge University Press, Cambridge/New York
Sevruk B (1982) Methods of correcting for systematic error in point precipitation measurements for operational use. Hydrol Rep 21, World Meteorological Organization 589
Sheffield J, Wood EF (2008) Global trends and variability in soil moisture and drought characteristics, 1950–2000, from observation-driven simulations of the terrestrial hydrologic cycle. J Climate 21(3):432–458
Smith RL (2008) Statistical trend analysis. In: Karl TR, Meehl GA, Miller CD, Hassol SJ, Waple AM, Murray WL (eds) Weather and climate extremes in a changing climate. Regions of focus: North America, Hawaii, Caribbean, and U.S. Pacific Islands. A report by the U.S. Climate Change Science Program and the Subcommittee on Global Change Research, Washington, DC
Trenberth KE, Stepaniak D, Hurrell J, Fiorino M (2001) Quality of reanalyses in the tropics. J Climate 14(7):1499–1510
Vose RS et al. (1992) The global historical climatology network: long-term monthly temperature, precipitation, sea level pressure, and station pressure data. ORNL/CDIAC-53, NDP-041, Carbon Dioxide Information and Analysis Center, Oak Ridge National Laboratory, Oak Ridge, TN, 325 pp
Vose RS, Easterling DR, Gleason B (2005) Maximum and minimum temperature trends for the globe: an update through 2004 [Online]. Geophys Res Lett 32:L23822. doi:10.1029/2005GL024379 [in print 32(23):1–5]
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Easterling, D.R. (2013). Global Data Sets for Analysis of Climate Extremes. In: AghaKouchak, A., Easterling, D., Hsu, K., Schubert, S., Sorooshian, S. (eds) Extremes in a Changing Climate. Water Science and Technology Library, vol 65. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-4479-0_12
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DOI: https://doi.org/10.1007/978-94-007-4479-0_12
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