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The Properties of Cirrus over the Atlantic Basin Revealed by A-Train and SEVIRI data Betsy Dupont and Jay Mace, University of Utah Pat Minnis and Rabi.

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Presentation on theme: "The Properties of Cirrus over the Atlantic Basin Revealed by A-Train and SEVIRI data Betsy Dupont and Jay Mace, University of Utah Pat Minnis and Rabi."— Presentation transcript:

1 The Properties of Cirrus over the Atlantic Basin Revealed by A-Train and SEVIRI data Betsy Dupont and Jay Mace, University of Utah Pat Minnis and Rabi Palikonda, NASA Langley Research Center CALIPSO/CloudSat Science Workshop, Madison, WI, July 28-31 Approach: Consider the A-Train constellation as a single synergistic observational suite. Augment the instantaneous view of A-Train with the temporal view from geostationary.

2 The Global Coverage of High (>6km) Layers From Merged CC Data (RL-GEOPROF) Mace et al. (2008)

3 Clustering of Cirrus Events 100-profile Atlantic cirrus events from 2007 followed approach of Zhang (2007) Clustering based on histograms of reflectivity and pressure Radar Lidar

4 P-dBZ Pattern for Resulting Cirrus Cluster Centroids Anvil Cirrus – 13% of events High, Thin cirrus – 60% of events Thick Cirrus – 27% of events

5 Question: What are the relationships between cirrus properties (and their temporal change) and the large-scale dynamics? Next: Track Cirrus in time following Soden (1998) technique Case study of a dissipating aging anvil Examine composite large-scale dynamics derived from NCEP/NCAR reanalysis for thickening and thinning cirrus in the northern and southern hemispheres

6 Case Study: A region of thinning AGING anvil cirrus

7 R = 0.61 Bias = 91 g/m^2

8 Composite of Large-Scale Dynamics for Mid Latitude Thick Cirrus Northern Hemisphere Southern Hemisphere Tb decreasing (thickening)Tb increasing (thinning) ✪ * * * *

9 Vertical Structure of Cirrus Layer Microphysics High, Thin CirrusThick Cirrus Thickening = red Thinning = black

10 Summary: Combining A-Train with Geostationary time series allows us to place events within a temporal context adding knowledge of changes in the hydrometeor field. Compositing of large-scale dynamics suggests strong relationships between temporal changes in the cloud field and meteorology. Work in Progress: Clustering cirrus based on large-scale dynamics What are the microphysical processes that control the differences in thickening and thinning cases? How do tropical anvils evolve from injected ice into long-lasting cloud fields?

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