MISR CMVs. Roger Davies and Aaron Herber Physics Department

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Transcription:

MISR CMVs Roger Davies and Aaron Herber Physics Department Acknowledgements: MISR Science and Data Processing Team (especially Catherine Moroney and Mike Garay)

From the AGU Fall Meeting 2009 MISR and the multi-angle remote sensing of clouds: before the launch of Terra, over 10-years ago albedos from multi-angle measurements would be nice but these measurements must be co-registered to the same dynamic reference height dynamic cloud-top heights would be nice but it takes 7 minutes to measure all angles, and clouds move cloud-tracked winds would be nice IWW Tokyo 2010 2

At the 9 th IWW showed improvements due to sub-pixel matching Davies et al, Remote Sensing of the Environment, 2007 preliminary comparisons between MISR and NCEP also with ECMF (Claire Delsol, Niels Bormann, and Lueder von Bremen) IWW Tokyo 2010 3

overview comparison of the MISR standard product with 10-years of NCEP reanalysis more to follow on this from Dong Wu known problems with/improvements to the MISR standard product more to follow on this from KatrinLonitz 10-years of global CMV wind fluctuations IWW Tokyo 2010 4

MISRCMVsfrom Stereo Processing conventional stereo techniques far too slow new techniques of pattern matching had to be developed initially quite noisy (averaged over 70.4 km domain), but unbiased 0, 45, and 70 triplet of views needed for along-track wind works because the Earth is not flat many improvements since then image navigation (< 275 m) sub-pixel enhancement fore and aft redundancy provides quality control faster computers have helped less noisy techniques complete reprocessing of stereo data record is practical IWW Tokyo 2010 5

MISR-NCEP Comparison Analyzed entire data set of MISR winds at version 17 Compared against NCEP/NCAR reanalysis matched in time, space (area weighted) and height over 22 x 10 6 matches in10 years IWW Tokyo 2010 6

MISR average winds below 3 km IWW Tokyo 2010 7

Average reanalysis MISR scalar wind difference, z<3 km IWW Tokyo 2010 8

Reanalysis MISR scalar bias: land IWW Tokyo 2010 9

Reanalysis MISR scalar bias: ocean IWW Tokyo 2010 10

rms scalar wind difference: ocean IWW Tokyo 2010 11

Summary of standard product-reanalysis IWW Tokyo 2010 12

directional bias by latitude MISR is biased towards the south IWW Tokyo 2010 13

IWW Tokyo 2010 14

Improvements more exhaustive matcher greater coverage 70% more winds than original method increased coverage at high latitudes double the number of high altitude winds eliminates drop-outs at East-West cardinal points Improves ascending-descending differences IWW Tokyo 2010 15

new versus old coverage IWW Tokyo 2010 16

Standard Product IWW Tokyo 2010 17

Old and new versions IWW Tokyo 2010 18

New version, with land mask 100 orbits, global IWW Tokyo 2010 19

Polar surface wind speeds: standard product IWW Tokyo 2010 20

Polar surface wind speeds: new product since have found a systematic bias in the alongtrack wind, ranging from 0 at centre of swath to 3 m/s at swath edge (see Lonitz and Horváth) IWW Tokyo 2010 21

Terra/MISR: 10-year Climate Data Records cloud-top heights (from March/2000) cloud fraction by height at 1.1 km height-resolved cloud motion vectors (from March/2000) at 70.4 km top-of-atmosphere albedos (from May/2000) spectral, equivalent broadband, local, restrictive or expansive too at 35 km summarized into 140x300 km blocks, 140blocks/orbit, 420 orbits/month IWW Tokyo 2010 22

New Zealand Average Winds Over Ten Years IWW Tokyo 2010 23

IWW Tokyo 2010 24

IWW Tokyo 2010 25

Summary MISR and reanalysis winds differ physical reasons land effects (-3 m/s MISR below 3 km) tropical wind divergence, thunderstorms (-5 m/s reanalysis) resolution (-1.4 m/s reanalysis) model/algorithm deficiencies MISR still has a weak meridional bias depending on swath position (0-3 m/s), turns wind to the South by 5-10 in descending branch of orbit the reanalysis winds appear 2-3 m/s too fast in the Southern Ocean Low level (<3 km) winds agree well overall scalar wind speed bias <0.4 m/s vector rms 6 m/s IWW Tokyo 2010 26

Summary MISR algorithms will likely be changed and reprocessed to correct the swath bias then perhaps repeat this study using high resolution ECMWF reanalysis the global fluctuation analysis seems to be useful as is, and of interest to climate change studies a lower background wind speed (-1 m/s/decade) is a reasonable consequence of polar warming with less surface wind over ocean, expect higher Bowen ratios the decrease is greater (up to -4 m/s/decade in North Pacific) an increase 2-3 m/s/decade in Southern Oceans MISR and reanalysis generally agree on this, with MISR showing more regional detail IWW Tokyo 2010 27