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Scientific Theme: Advanced Modeling and Observing Systems

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<strong>Theme</strong> report: Climate System Variability<br />

characteristics of Quantitative Precipitation Estimates (QPEs). The use of normalized raindrop<br />

size distributions will be investigated as a means of describing the profiling <strong>and</strong> scanning radar<br />

retrieved raindrop size distributions.<br />

ACCOMPLISHMENTS FOR PSD06.2:<br />

Surface disdrometer, multi-frequency profiler, <strong>and</strong> multi-frequency polarimetric scanning radar observations from<br />

the Front Range Pilot Study were analyzed to quantify the temporal <strong>and</strong> spatial variability of the normalized<br />

raindrop size distribution parameters retrieved by the three types of instruments. These parameters are used in<br />

Quantitative Precipitation Estimates (QPEs) <strong>and</strong> are inputs into numerical weather forecast models. Dr. Anthony<br />

Illingworth from Reading University, United Kingdom, spent three months of his sabbatical at CIRES/ESRL<br />

working on this problem. Two conference presentations were made on this topic <strong>and</strong> a peer-reviewed manuscript<br />

will be submitted in September 2007. Also, analysis of the multi-frequency profiler observations during the North<br />

American Monsoon Experiment (NAME) revealed differences in the vertical structure of reflectivity during<br />

stratiform rain between the ground-based profiler <strong>and</strong> the satellite-based NASA Tropical Rainfall Measuring<br />

Mission (TRMM) precipitation radar indicating a possible bias in the satellite retrieval algorithm.<br />

MILESTONE PSD06.3:<br />

Investigate the effect of coupled vs. decoupled lower-tropospheric flow over the East Pacific Cold<br />

Tongue on equatorially trapped waves over the East Pacific.<br />

ACCOMPLISHMENTS FOR PSD06.3:<br />

Previous work [Hartten <strong>and</strong> Datulayta, 2004] had shown that decoupled lower-tropospheric flow over the Galapagos<br />

occurred with SST24°C. In an attempt to identify periods when<br />

SSTs were inside that 23-24°C range, CIRES scientists examined 1994 to 2003 SST data from six near-equatorial<br />

TAO buoys along 95°W <strong>and</strong> 110°W. Our results showed that SSTs between 23ºC <strong>and</strong> 24ºC were less frequent at the<br />

2°N buoys, during strong El Niño periods, <strong>and</strong> in the middle of cold (July to October) <strong>and</strong> warm (February to May)<br />

seasons.<br />

PSD15: Surface Processes<br />

GOAL:<br />

Develop <strong>and</strong>/or improve physical representations of atmosphere-surface interactions.<br />

MILESTONE PSD15.1:<br />

Examine the role of artificial correlation in data analysis of turbulent Pr<strong>and</strong>tl number.<br />

ACCOMPLISHMENTS FOR PSD15.1:<br />

Measurements of atmospheric turbulence made during the Surface Heat Budget of the Arctic Ocean Experiment<br />

(SHEBA) have been used to examine the behavior of the turbulent Pr<strong>and</strong>tl number, Prt, in the stable atmospheric<br />

boundary layer (SBL) over the Arctic pack ice. It is found that Prt increases with increasing stability if Prt is plotted<br />

versus gradient Richardson number, Ri; but at the same time, Prt decreases with increasing stability if Prt is plotted<br />

versus flux Richardson number, Rf, or versus z/L. This paradoxical behavior derives from the fact that plots of Prt<br />

versus Ri (as well as versus Rf <strong>and</strong> z/L) have built-in correlation (or self-correlation) because of the shared<br />

variables. For independent estimates of how Prt behaves in the SBL, Prt is plotted against the bulk Richardson<br />

number; such plots have no built-in correlation. These plots show that, on the average, Prt decreases with increasing<br />

stability <strong>and</strong> Prt

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