Phil arkin essic university of maryland
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Satellite Observations in Support of NAME Diagnostic Studies. Phil Arkin, ESSIC University of Maryland. Outline. Mean seasonal cycle in precipitation in the NAME region Seasonal and diurnal variability in precipitation in the NAME region during the 2003 monsoon season

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Phil Arkin, ESSIC University of Maryland

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Phil arkin essic university of maryland

Satellite Observations in Support of NAME Diagnostic Studies

Phil Arkin, ESSIC

University of Maryland


Outline

Outline

  • Mean seasonal cycle in precipitation in the NAME region

  • Seasonal and diurnal variability in precipitation in the NAME region during the 2003 monsoon season

  • Issues for NAME Diagnostic Studies


Seasonal variability in precipitation in the name region from cmap

Seasonal variability in precipitation in the NAME region from CMAP

  • CMAP is composite product using several satellite-derived estimates and gauge observations (Xie and Arkin, 1997)

  • Monthly, 2.5ºx 2.5º used here

  • Averaged over 1987 – 1997 (full dataset is 1979-2003)


Phil arkin essic university of maryland

CMAP Precipitation

1987 - 1997

April – June

July - August

Ratio – percentage increase from AMJ to JA


Phil arkin essic university of maryland

CMAP precipitation (1987-1997) for AMJ (top) and JA (bottom)

Tip of Baja California goes from <0.2 to 2-3 mm/day; coastal point to the south goes from 1 to >6 mm/day


Phil arkin essic university of maryland

Ratio (JA/AMJ)

Annual cycle of precipitation averaged over the two boxes


Details of the diurnal cycle during the 2003 monsoon season using cmorph

Details of the diurnal cycle during the 2003 monsoon season using CMORPH

  • CMORPH is composite product using all available passive microwave-derived estimates with interpolation by advection inferred from geostationary IR (Joyce et al., 2003, submitted)

  • Basic dataset is 30 minute/8 km – 3 hour totals for 0.25ºx 0.25º areas used here

  • Pingping Xie made the figures I will show here; thanks also to Robert Joyce, John Janowiak, Mingyue Chen and Yelena Yarosh


Conclusions part 4

Conclusions: Part 4

  • CMORPH allows us to visualize details of the influence of the terrain of the diurnal cycle of precipitation that probably have not been seen before

  • Precipitation dies away quickly to the west of the Sierra Madre Occidental; only a little rain makes it offshore

  • ITCZ south of Mexico has weak diurnal cycle with peak just after midnight; sharp demarcation right at coastline

  • Over the U.S., CMORPH exhibits clear eastward propagation from the Rockies, quite similar to Carbone et al. findings from several years of radar data


Issues for name diagnostic studies

Issues for NAME Diagnostic Studies

  • Precipitation products that utilize satellite observations (such as, but not limited to, CMAP and CMORPH) will be very useful for NAME diagnostics studies:

  • However, the link to surface-based observations (gauges, radars) is still to be made for fine scales

  • The (likely) loss of TRMM and AMSR (on ADEOS-2) is a significant handicap


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