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Comparisons of Two Preliminary Windsat Vector Wind Data Sets with QuikSCAT and Buoys M.H. Freilich B.A. Vanhoff 8 February 2005 COAS/OSU. OVERALL OUTLINE. NDBC Buoy comparisons (best-quality Windsat data) Rain Flag – accuracy of flagged data Windsat Rain Flags
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Comparisons of Two Preliminary Windsat Vector Wind Data Sets with QuikSCAT and Buoys M.H. Freilich B.A. Vanhoff 8 February 2005 COAS/OSU
OVERALL OUTLINE • NDBC Buoy comparisons (best-quality • Windsat data) • Rain Flag – accuracy of flagged data • Windsat Rain Flags • Comparisons with NDBC, SSM/I • QuikSCAT-NESDIS_0 global comparisons • Directional comparisons
Windsat Data Initial Editing • For Betten_1 data sets, DELETED all data having: • Geographic Flags set (ice[6],land[7],lakes[9],salinity[10]) • No Wind Retrieval Flag set ([0]) • 10 GHz RFI Flag set ([12]) • Sun Glint Flag set ([13]) • For NESDIS_0 data sets, DELETED all data having: • Land Contamination Flag set ([29]) • Any EDR Quality Flag [4-27] set • For all data sets, IGNORED Windsat Speed Range Flag • (analyzed all speeds)
QuikSCAT Data & Initial Editing • Speed, Direction measurements on ~25 km centers from standard • L2B processing • Vector wind estimates have 25 km resolution, 30 km land mask • Used “selected” ambiguity • DELETED all data having: • Autonomous (MUDH Rain Flag set (eliminates ~6% of global data) • Far Swath (outer 100 km on each side, v-pol only retrievals with little azimuthal diversity); WE DID KEEP NADIR SWATH! • This results in “research quality” QuikSCAT data
Windsat, QSCAT & Buoy: Collocated winds, non-raining (Dashed line: NDBC collocated with NESDIS_0) • All NDBC winds adjusted to 10 m equivalent neutral stability • Betten_1 speed histograms have unrealistic concentration ~9-11 m/s • NESDIS_0 speed histogram narrower than QSCAT or NDBC (or Betten_1) • Betten_1 directional histos have unrealistic small peaks near 0, 120 deg • All Windsat directional histos have sharp drop-offs below 240-250 deg
Windsat & QSCAT (dir. edit) vs. NDBC -- Rain-Free 50 km distance threshold, Non-Raining • Speed bias statistics nearly identical (0.75 m/s along-wind random component error • for QuikSCAT and Betten_1, 1.0 m/s along-wind rce for NESDIS_0) • All Windsat products overpredict wind speed for buoy speeds > 15 m/s • Windsat dir. std. dev. larger than QSCAT for wind speeds < 10 m/s (all 3 WS data sets) • NESDIS_0 dir. std. dev. less than QSCAT for wind speeds > ~15 m/s • Betten_1 dir. std. dev. smallest of all data sets for speeds 12-17 m/s
Direction Comparisons w/ NDBC (Non-Raining) • Thin lines indicate random component error model simulation (1.6, 2.0, 2.4, 2.8 m/s) • Betten_1 (blue) = 2.6 m/s NESDIS_0 = 2.8 m/s QSCAT (red) = 2.0 m/s • Windsat directional std. devs. consistent with random comp. error model for spds < 20 m/s • Windsat may have better ambig removal skill at high wind speed (QSCAT departs from • model because of residual (< 90 deg) ambiguity removal errors)
Betten_1 & QSCAT: Vector Wind Accuracies vs. NDBC • QSCAT statistics and random component errors smaller than Windsat
Windsat, SSM/I F13: Rain-Flagged Total Flagged 14.4% 17.4% 9.5% 7.9% Windsat collocated w/ NDBC SSM/I F13 similarly collocated with NDBC F13 has 6 AM crossing time (similar to Windsat) F13 considered “rain flagged” if rain rate > 0 mm/hr • SDR-based rain flags overflag significantly, systematically with increasing wind speed • (both NESDIS_0 and Betten_1 data sets) • Betten_1 EDR-only flag rate is similar to SSM/I
2.8 m/s rce Windsat/Buoy: Raining vs. Non-raining accuracies 50 km distance threshold • Rain-flagged data have much larger speed bias for buoy speeds < 11 m/s • (ie., Windsat overpredicts speed in rain) • Generally larger directional noise at all speeds for the rain-flagged data
NESDIS_0/QuikSCAT: Non-raining coverage 1 hour, 50 km distance threshold QuikSCAT collocated w/ Windsat
NESDIS_0/QSCAT Comparisons 50 km, 1 hour collocation thresholds • Random component error sims in blue/red solid lines • 0.75/1.0 m/s alongwind rce, 2.0/2.8 m/s cross-wind rce (QS/WS) • High wind speed saturation for Windsat? • Increase in directional s.d. probably due to QS errors
Selected direction (rel to N.) NESDIS_0 & QuikSCAT Directional Distributions • Collocated global data set; no QS or WS rain (by flags)
Conclusions • Non-raining Windsat retrievals are somewhat less accurate than QSCAT • Betten_1 more accurate overall than NESDIS_0 • Non-raining Windsat directional accuracy better than QSCAT at high • speeds (> 15 m/s) • Windsat SDR-based rain flags are too conservative • EDR-based flag is better • Rain causes speed bias and directional accuracy degradation • Global comparisons suggest Windsat underpredicts high wind speeds • (> 20 m/s) • NESDIS_0 direction retrieval issues (discontinuities in histogram)