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transitioning unique NASA data and research technologies to the NWS
AIRS Profile Assimilation -Case Study results
Shih-Hung Chou, Brad ZavodskyGary Jedlovec, and Bill Lapenta
transitioning unique NASA data and research technologies to the NWS
Motivation for Profile Assimilation at SPoRT
The SPoRT Center seeks to improve short-term weather forecasts by the use of satellite-based observation.
AIRS data complement traditional upper-air observations in data-sparse regions (both ocean and land)
In contrast to AIRS radiances, profiles provide an easier assimilation method allowing regional and local end users (e.g. HUN WFO) to run NWP systems
Hyperspectral nature of AIRS sounder allows for high-resolution data
transitioning unique NASA data and research technologies to the NWS
AIRS Specifications
Aboard Aqua polar orbiter Early afternoon equator crossing
2378 spectral channels
3.7 – 15.4 μm (650 – 2675 cm-1)
3 x 3 footprints (50 km spatial resolution)
AMSU allows for retrievals in both clear and cloudy scenes
Version 4.0 Error Estimates (Tobin et al. 2006) 0.6-1.0K over ocean (± 50o latitude)
0.9-1.3K global ocean and land (in 1 km layers)
< 15% RH (in 2 km layers)
transitioning unique NASA data and research technologies to the NWS
AIRS Data Quality Indicators
Quality indicators (QIs) in prototype v5:
each profile contains level-specific QI
level-by-level error estimates for each T and q profile
QIs allow for the maximum amount of quality data to be assimilated
optimal use of QIs should produce an analysis that provides better initial conditions for the WRF
0700 UTC 20 November 2005 AIRS swath
transitioning unique NASA data and research technologies to the NWS
Lessons Learned from Previous SAC
4 January, 2004
Pacific storm stalled off shore; limited its impact on land
Difficult to evaluate AIRS impact due to insufficient RAOB stations and stage IV precip data for verification
Mixed results for AIRS impact on forecast
transitioning unique NASA data and research technologies to the NWS
Case Study: November 20-22, 2005
relevant to SPoRT interests in SEUS region ample verification data available over the Eastern US synoptic setting opportunity to eventually test both over-ocean and over-land AIRS profiles comparable CONUS domain to other SPoRT WRF for easy transfer to
operational applications
Rapidly intensifying storm off the eastern seaboard under forecasted by GFS, NAM, and SPoRT operational WRF
Case Selection
Surface analysis 11/22/05 12 UTCSurface analysis 11/20/05 12 UTC Surface analysis 11/22/05 12 UTC
LL
L
transitioning unique NASA data and research technologies to the NWS
Analysis and Forecast Model ConfigurationWRF Model Configuration 36km domain with 150x360 grid
37 vertical levels Initialized with NAM analysis, LBC
updated every 3 h
ADAS Analysis Configuration Same horizontal domain as WRF 43 vertical levels separated by 500 m AIRS profiles are assimilated as
RAOBs using QIs to determine highest quality data
use Tobin et al. (2006) for observation error and standard model errors for background
Assimilation / Forecast 7h forecast used as background for
ADAS
L
L
L
WRF Domain for November 2005 Case Study
AIRS valid at 0700 UTC
7h FCST
00 UTC
11/20/0500 UTC
11/22/05Validation at 00 UTC and 12 UTC
00 UTC11/21/05ADAS
transitioning unique NASA data and research technologies to the NWS
Impact of AIRS Profiles on ADAS Analysis
AIRS data have an cooling impact over Atlantic, but a warming impact on land
700 hPa Temp Difference
700 hPa Dew Point Difference
AIRS data have a major drying off east seaboard
transitioning unique NASA data and research technologies to the NWS
Impact of AIRS Profiles on ADAS Analysis
07Z BKGD07Z AIRS07Z ADAS
20 November 2005Wallops Island, VA
AIRS shows cooling in the lower and upper troposphere AIRS shows drying above 900 hPa
transitioning unique NASA data and research technologies to the NWS
Impact of AIRS Profiles on Initial Conditions
07Z BKGD07Z AIRS07Z ADAS00Z RAOB12Z RAOB
AIRS shows mid-troposphere cooling AIRS correctly detects the moistening of 700-500 hPa layer
20 November 2005Wallops Island, VA
AIRS shows cooling in the lower and upper troposphere
AIRS shows drying above 500 hPa
AIRS shows drying above 900 hPa
AIRS can spatially and temporally fill the gap between conventional observations
transitioning unique NASA data and research technologies to the NWS
Control is too warm and moist at all tropospheric levels
Temperature and Moisture Impact
AIRS cools T by as much as 0.5oC (improvement) in much of troposphere; increases q bias at mid-levels AIRS reduces RMS error in T and q at most levels
transitioning unique NASA data and research technologies to the NWS
6-h Cumulative Precipitation Impact
CNTL over-forecast over the low center and under forecast over TN/AL
AIRS improves forecast compared to NCEP Stage IV data in region of heaviest precipitation
transitioning unique NASA data and research technologies to the NWS
6-h Cumulative Precipitation Impact
Bias Score
a measure of precip coverage
Precipitation under-forecasted
CNTL better at middle threshold; AIRS better at high
Equital Threat Score
a measure of precip loaction
AIRS outperforms CNTL at most threshold; similar at smallest threshold
0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
0.4
0.254 2.540 6.350 12.70 19.05
Minimum Precipitation Threshold (mm)
Equi
tabl
e Th
reat
Sco
re (E
TS)
0
0.2
0.4
0.6
0.8
1
1.2
Bia
s Sc
ore
CNTL
AIRS
Qualitative Precipitation Forecast
transitioning unique NASA data and research technologies to the NWS
Summary
AIRS Level-2 profiles provide valuable data over regions otherwise devoid of upper-air observations; they also fill the gap in time between the conventional observations
Level-specific QIs for AIRS profiles allow for the assimilation of the largest volume of highest quality data
AIRS data improves forecasts of T, q, and 6 h precip
Future plans involving AIRS
Real-time forecasts to evaluate long-term impact Select new case studies for in-depth analysis