The NCEP Climate Forecast System Reanalysis - NOAA National ...

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Figure 47 shows the equatorial (5ºS to 5ºN) zonal mean U wind component time seriesfrom 1979 to 2009. Evident are the annual equatorial easterlies in the troposphere. TheQBO variability of the u component is evident in the lower stratosphere while the SAO isevident in the upper stratosphere to lower mesosphere.Figure 48 shows the difference between the zonal monthly mean total ozone values in theCFSR and that of the Climate Prediction Center’s Cohesive SBUV(/2) Total OzoneDataset (CSTOD). Most of the differences are in the +/- 4 DU range, which is slightlylarger than 1 percent. As shown by the aid of the dashed lines, some differences start andstop as different satellites are used for the CSTOD. These differences can be explainedby the fact that the CSTOD makes latitudinal bias adjustments from one satellite to thenext, whereas there are no adjustments to the SBUV(/2) data used in the CFSR. It hasalso been discovered that the ozone mixing ratio background errors in the CFSR were settoo large in the upper stratosphere. The result is that SBUV(/2) ozone mixing ratioobservations did not alter the CFSR’s first guess above 10 hPa. Although the integratedeffect upon the total ozone is small, this does account for the differences in the southernhigh latitudes between 1979 and 1994.Future reanalyses would benefit from not bias adjusting the SSU radiances and havingfewer streams. Improvements to the GSI to handle sparse data in the tropics would resultin a better analysis of the QBO and SAO winds. Ozone is one of the few parameters thatthe GSI assimilates as a physical quantity rather than as observed radiances. Intersatellitebias adjustments must come from improved versions of the SBUV(/2) ozone datarecord. How the GSI uses the ozone data and alters its first guess must be looked intofurther.10. Preliminary Results from the Ocean10.1 Precipitation-SST relationshipPrevious studies have shown that there is a close relationship between precipitation and SSTon intraseasonal time scales in the tropical Indian Ocean and in the Western Pacific Ocean.- 51 -
Page 2 and 3: ABSTRACTThe NCEP Climate Forecast S
Page 4 and 5: 1. IntroductionThe first reanalysis
Page 6 and 7: In this paper we only discuss globa
Page 8 and 9: the reanalysis was halted to addres
Page 10 and 11: online archive of data for reanalys
Page 12 and 13: density MESONET data is included in
Page 14 and 15: The 1B datasets were calibrated usi
Page 16 and 17: MetOp is Europe's first polar-orbit
Page 20 and 21: The third GSI feature enabled in th
Page 22 and 23: the hydrostatic assumption. Soon af
Page 24 and 25: esolution with 28 sigma layers in t
Page 26 and 27: SW and LW radiations at one-hour in
Page 28 and 29: SST data. The other uses AVHRR and
Page 30 and 31: y Gent and McWilliams (1990; see al
Page 32 and 33: from the Global Temperature-Salinit
Page 34 and 35: through the end of the data set in
Page 36 and 37: The passive microwave weather filte
Page 39 and 40: from the sea ice/ocean back to the
Page 41 and 42: weight is assigned to the gauge ana
Page 43 and 44: Stream 6: 1 Jan 1994 to 31 Mar 1999
Page 45 and 46: in the mid 1990’s, the period whe
Page 47: e due to a change over the oceans (
Page 53 and 54: CFSR is more diffuse, such that tha
Page 55 and 56: than the previous global reanalysis
Page 57 and 58: White (EMC). As with other reanalys
Page 59 and 60: GFS Global Forecast SystemGMAO Glob
Page 61 and 62: Appendix B:The Data DescriptionMont
Page 63 and 64: Hourly Timeseries from OCN files (1
Page 65 and 66: Appendix D: Details of Satellite bi
Page 67 and 68: REFERENCESAccadia, C., S. Mariani,
Page 69 and 70: Bourlès, B., R. Lumpkin, M. J. McP
Page 71 and 72: de Viron, O., G. Schwarzbaum, F. Lo
Page 73: Griffies, S. M., and R. W. Hallberg
Page 76 and 77: SpecialSensor Microwave/Imager. J.
Page 78 and 79: Murray, R. J., 1996: Explicit gener
Page 80 and 81: Reynolds, R. W., T. M. Smith, C. Li
Page 82 and 83: Weaver, A.T., and P. Courtier, 2001
Page 84 and 85: LEGEND OF FIGURESFigure 1: Diagram
Page 86 and 87: ocean component of the CFSR as a fu
Page 88 and 89: Velocity Program of TOGA (top right
Page 90 and 91: Figure 2: Performance of 500mb RADI
Page 92 and 93: Figure 4: Same as in Figure 2, but
Page 98 and 99:
Figure 10: Same as in Figure 2, but
Page 100 and 101:
Page 102 and 103:
Page 104 and 105:
Figure 16: Performance of HIRS/2 ch
Page 106 and 107:
Figure 18: Same as in Figure 16, bu
Page 108 and 109:
Page 110 and 111:
Page 113 and 114:
Figure 25: The cloud liquid water b
Page 115 and 116:
Figure 27: TOVS period, 1979-1998,
Page 117 and 118:
Figure 29: Time series of the perce
Page 119 and 120:
Page 121 and 122:
Figure 33: The global distribution
Page 123 and 124:
Figure 35: Sea ice concentration fo
Page 125 and 126:
Figure 37: CFS grid architecture in
Page 127 and 128:
Figure 39: Same as in Figure 38, ex
Page 129 and 130:
Figure 41: In the upper diagram are
Page 131 and 132:
Figure 43: Global average of monthl
Page 133 and 134:
Figure 45: The fit of 6-hour foreca
Page 135 and 136:
Figure 47: Equatorial (5ºS to 5ºN
Page 137 and 138:
Figure 49: Temporal lag correlation
Page 139 and 140:
Figure 51: The subsurface zonal vel
Page 141 and 142:
Figure 53: The vertically averaged
Page 143 and 144:
Figure 55: The first two EOFs of th
Page 145 and 146:
Satellite Platform Launch Date a Mi
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