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Phil Arkin, ESSIC

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The diurnal cycle in precipitation remains a very difficult challenge for global ... inferred from geostationary IR (Joyce et al., 2004, J. Hydrometeorology) ... – PowerPoint PPT presentation

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Title: Phil Arkin, ESSIC


1
Describing the Diurnal Cycle of Precipitation
Using Satellite Observations
  • Phil Arkin, ESSIC
  • University of Maryland
  • With thanks to
  • Pingping Xie, John Janowiak, and Bob Joyce
  • Climate Prediction Center/NOAA

2
  • The diurnal cycle in precipitation remains a very
    difficult challenge for global and regional
    models of the atmosphere
  • Observations from which the diurnal cycle of
    precipitation can be inferred have been limited
    until recently
  • radar and some gauges over land
  • inferences from geostationary imagery over oceans
  • Newly available high resolution precipitation
    products (CMORPH, TRMM RT, PERSIANN, others) make
    more detailed description of many phenomena
    possible
  • CMORPH is composite product using all available
    passive microwave-derived estimates with
    interpolation by advection inferred from
    geostationary IR (Joyce et al., 2004, J.
    Hydrometeorology)
  • Basic dataset is 30 minute/8 km 3 hour totals
    for 0.25ºx 0.25º areas used for the most part

3
Seasonal mean diurnal cycle IR (top), radar
(bottom)
  • Seasonal mean diurnal cycles in deep convective
    cloud (lt215K) and radar rainfall are similar
  • Interannual changes also similar
  • Amounts, phases cant be compared effectively

4
US/Central Amer./ Mexico JJA 2003
5
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6
215K
LAND ONLY
Climatology of diurnal cycle of cloudiness
(pentads for full year)
OCEAN ONLY
Mean diurnal cycle in fractional coverage (87-97)
at 215K averaged over the NAME region (upper
left), and over land (upper right) and ocean
(lower left) subregions. 0000 UTC at bottom
(4-6pm local), time increasing upward.
7
1987
1988
1989
LAND 215K
1992
1990
1991
1993
1994
1995
8
1987
1988
1989
OCEAN 215K
1992
1990
1991
1995
1994
1993
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11
May
June
July
12
  • Diurnal cycle prominent during May September
    when averaged over whole region
  • Huge differences between land and water
  • Begins in late June in both (northern/western
    subset of full domain)
  • Over land, clouds begin to increase in
    mid-afternoon and peak around 7-8pm seasonal
    peak mid-July mid-August
  • Over water, diurnal cycle much weaker but still
    clear peaks around 4-6am seasonal peak later
    August September
  • Much more intraseasonal variability in 11-year
    average over water
  • Interannual variations more in amplitude than
    phase over both land and ocean
  • CMORPH allows us to visualize details of the
    influence of the terrain of the diurnal cycle of
    precipitation that may never have been seen
    before
  • Precipitation dies away quickly to the west of
    the Sierra Madre Occidental
  • Seasonal cycles in 2003 and 2004 are similar, but
    some differences are evident

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16
Difference between largest and smallest values in
mean diurnal cycle (left) and time of maximum
value (right). Index value of 1 corresponds to
0115 UTC, roughly 10pm local on average.
Mean precipitation through lifetime of Isabel
17
  • Isabel exhibited substantial mean diurnal cycle
    in precipitation during its lifetime
  • Peak values found on northeast side of eye near
    local midnight
  • Maximum values about 50 greater than minimum
  • Ivan, Jeanne and Karl also show substantial
    diurnal (also some semidiurnal) variability
    averaged over their lifetime
  • Not clear whether the (local) time of maximum is
    the same for each
  • Mechanisms?
  • Solar forcing?
  • Inertial oscillation?
  • Dynamic oscillation that aliases to 24 hour
    period?

18
South America DJF 2002-03 2003-04
19
Sea breeze induced convection near the coast on
Day 1 propagates westward reaching the western
Amazon Basin on Day 3.
20
  • Syntheses of available satellite data make it
    possible to describe diurnal cycle of
    precipitation (as well as other variations) in
    much greater detail than in the past
  • CMORPH, PERSIANN, TRMM/RT, Osaka Pref. U.,
    NRL/Turk,
  • Have to see if Regional Reanalysis capable of
    providing circulation details (global reanalyses
    so far cannot)
  • Details still have to be validated
  • CMORPH, radar and IR give similar results over
    U.S.
  • Many other high resolution precipitation products
    have been developed (PERSIANN, TRMM RT, NESDIS
    Autoestimator, )
  • All provide interesting and provocative detail
  • Some validation is available (CPC for US, BoM for
    Australia)
  • But a thorough evaluation and intercomparison is
    badly needed (more discussion tomorrow)
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