Team Exercises Michael R. Gunson Jet Propulsion Laboratory Michael.Gunson@jpl.nasa.gov 818 354 2124 February 22, 2001 1 AIRS Team Exercise mrg
Objectives for Team Exercise 1/22 - 1/26/01 A. Processing Verification – Infrared RTA Implementation – Flow Control – Channel Properties File – Review and revise channel properties list following Science Team Meeting – Tuning/Angle Corrections – New predictor required for Tuning. – Channel Selection – Climatological Bound Testing – Use AVN forecast to provide first order evaluation with real data – Regression Coefficient Testing February 22, 2001 2 AIRS Team Exercise mrg
Objectives for Team Exercise 1/22 - 1/26/01 • B. Product Verfication – Temperature product – Humidity product – Cloud product – Surface product – Q/A parameter verification – Cloud-cleared radiance verification – Visible cloud flag – Visible diagnostics February 22, 2001 3 AIRS Team Exercise mrg
Objectives for Team Exercise 1/22 - 1/26/01 C. File Verification – Level 2 Standard product – Level 2 Support product – Browse product – Cloud-cleared Radiance product February 22, 2001 4 AIRS Team Exercise mrg
Sherlock Holmes Stuff 3 Retrieval_type = 0 FINAL IR All retrieval stages successful MW and FIRST successful, FINAL falls 4 Retrieval_type = 20 MWSIR back to MW & Strat IR MWSIR MW successful, FIRST unsuccessful, 5 Retrieval_type = 30 FINAL falls back to MW & Strat IR MW successful, FIRST unsuccessful, 6 Retrieval_type = 10 FINAL IR FINALsuccessful Retrieval_type = 0 All stages successful for TRUTH CLEAR 7 FINAL IR FOVs Truth: clear_flag = 1 February 22, 2001 5 AIRS Team Exercise mrg
Microwave-Only Temperature Retrieval 1 1 Case 3 Case 4 Case 5 Case 3 Case 6 Case 4 Case 7 Case 5 Case 6 Case 7 Layer Geometric Mean Pressure (mb) Layer Geometric Mean Pressure (mb) 10 10 100 100 1000 1000 -2 -1 0 1 2 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 MW Temperature Bias (K) MW Temperature Bias RMS (K) February 22, 2001 6 AIRS Team Exercise mrg
FIRST TEMPERATURE RETRIEVAL 1 1 Case 3 Case 4 Case 5 Case 3 Case 6 Case 4 Case 7 Case 5 Case 6 Case 7 Layer Geometric Mean Pressure (mb) Layer Geometric Mean Pressure (mb) 10 10 100 100 1000 1000 -2 -1 0 1 2 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 First Retrieval Temperature Bias (K) First Retrieval Temperature Bias RMS (K) February 22, 2001 7 AIRS Team Exercise mrg
FINAL TEMPERATURE RETRIEVAL 1 1 Case 3 Case 4 Case 5 Case 3 Case 6 Case 4 Case 7 Case 5 Case 6 Case 7 Layer Geometric Mean Pressure (mb) 10 Layer Geometric Mean Pressure (mb) 10 100 100 1000 1000 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 -2 -1 0 1 2 Final Retrieval Temperature Bias RMS (K) Final Retrieval Temperature Bias (K) February 22, 2001 8 AIRS Team Exercise mrg
CASE 3 TEMPERATURE RETRIEVAL 1 1 MW FIRST FINAL MW FIRST FINAL Layer Geometric Mean Pressure (mb) Layer Geometric Mean Pressure (mb) 10 10 100 100 1000 1000 -1 0 1 2 0.0 0.5 1.0 1.5 2.0 2.5 3.0 Temperature RMS (K) Temperature bias (K) February 22, 2001 9 AIRS Team Exercise mrg
WATER VAPOR RETRIEVAL 1 1 MW MW FIRST FIRST FINAL FINAL Layer Geometric Mean Pressure (mb) Layer Geometric Mean Pressure (mb) 10 10 100 100 1000 1000 -3 -60x10 -40 -20 0 20 0.00 0.05 0.10 0.15 0.20 -2 -2 H2O bias (g cm ) H2O rms (g cm ) February 22, 2001 10 AIRS Team Exercise mrg
OZONE RETRIEVAL 1 1 CLIMATOLOGY CLIMATOLOGY FIRST FIRST FINAL FINAL Layer Geometric Mean Pressure (mb) Layer Geometric Mean Pressure (mb) 10 10 100 100 1000 1000 -60 -40 -20 0 0 20 40 60 80 O3 bias (DU) O3 rms (DU) February 22, 2001 11 AIRS Team Exercise mrg
Granule-401 FOV Distribution Retrieval Type and Truth Clear Flag February 22, 2001 12 AIRS Team Exercise mrg
SURFACE TEMPERATURE RETRIEVAL 284 Mean Surface Temperature Retrieval (K) 282 Temperature (K) 280 278 276 274 272 270 3 4 5 6 7 Case Number February 22, 2001 13 AIRS Team Exercise mrg
MW Tsurf RETRIEVAL 1 Surface Temperature Retrieval - MW Bias (K) 0 Bias (K) -1 -2 -3 3 4 5 6 7 Case Number 7 Surface Temperature Retrieval - MW rms (K) 6 5 RMS (K) 4 3 2 1 0 3 4 5 6 7 Case Number February 22, 2001 14 AIRS Team Exercise mrg
FIRST Tsurf RETRIEVAL 1 Surface Temperature Retrieval - first retrieval Bias (K) 0 Bias (K) -1 -2 -3 3 4 5 6 7 Case Number 7 Surface Temperature Retrieval - first retrieval rms (K) 6 5 RMS (K) 4 3 2 1 0 3 4 5 6 7 Case Number February 22, 2001 15 AIRS Team Exercise mrg
FINAL Tsurf RETRIEVAL 1 Surface Temperature Retrieval - final retrieval Bias (K) 0 Bias (K) -1 -2 -3 3 4 5 6 7 Case Number 7 Surface Temperature Retrieval - final retrieval rms (K) 6 5 RMS (K) 4 3 2 1 0 3 4 5 6 7 Case Number February 22, 2001 16 AIRS Team Exercise mrg
Comparison of Clear FOV Detection February 22, 2001 17 AIRS Team Exercise mrg
Comparison of Clear FOV Detection February 22, 2001 18 AIRS Team Exercise mrg
Distribution of Combined Cloud Fraction February 22, 2001 19 AIRS Team Exercise mrg
INITIAL Clear FOV Detection Cloud Fraction February 22, 2001 20 AIRS Team Exercise mrg
INITIAL False and True Clear FOV Detection Cloud Fractions February 22, 2001 21 AIRS Team Exercise mrg
FINAL Clear FOV Detection Cloud Fraction February 22, 2001 22 AIRS Team Exercise mrg
FINAL False and True Clear FOV Detection Cloud Fractions February 22, 2001 23 AIRS Team Exercise mrg
VIS Clear FOV Detection Cloud Fraction February 22, 2001 24 AIRS Team Exercise mrg
VIS False and True Clear FOV Detection Cloud Fractions February 22, 2001 25 AIRS Team Exercise mrg
General Conclusions • Core algorithm in place and working at V2.1.5 ! • Characteristics of the retrievals are not significantly changed from previous simulations and Team Exercises – Cold bias still present • GSFC test code and L2_PGE have the same pathology of biases and rms errors • 8 track set behaves better than the current simulations – Sampling difference – Rejection criteria refinement • Only major new capabilities needed in L2_PGE is to put in place simple flow control - V2.1.5 need not change for some time • Are the current simulations and 8-track set are not suitable for closure testing? – To many uncertainties in their provenance February 22, 2001 26 AIRS Team Exercise mrg
More General Conclusions • Changing the characteristics of the instrument performance (e.g., Ne ∆ T) highlighted the sensitivity of the results to threshold settings by changing yields and ultimately the gross statistics of the retrievals BUT not the quality • Clear sky detection – Yield and reliability seem to be mutually exclusive – Simple clouds but are they too complex? – Do we need a new pre-L2_PGE processor to always be run • Run clear sky detection • Cloud-clearing on some near-clear observations February 22, 2001 27 AIRS Team Exercise mrg
On the use of simulations • Global simulations with the AVN forecast are useful in training and debugging the retrieval system • Global simulations with the AVN forecast create a smooth world with limited variability – Variability has to be forced upon the simulation – The subset granules 401, 411, and 421 are very representative of all the granules - will this be true for real data? February 22, 2001 28 AIRS Team Exercise mrg
Future Team Exercises • TDS data access and storage – Given how few files we are focusing on, this may not be critical to the Science Team (yet) – Delivery in May will contain critical capablities for routine ingest and for data production • Limited truth – Matchups to RaObs, ARM/CART site data, sea surface data • L1b -> L1a simulation • Off-nominal instrument performance issues • Cloud properties and simulation variability – Transmissive clouds particularly cirrus – Cloud variability • Aerosols February 22, 2001 29 AIRS Team Exercise mrg
Schedule • Next Two Exercises – May 28 - June 1, 2001 will focus on sparse truth validation based on a simulation with one AVN forecast and a later AVN forecast used for “truth” statistics generation (Gstats files) with radiance biases – If launch is delayed THEN later in October will upgrade the simulation system to include grey clouds, variability etc. February 22, 2001 30 AIRS Team Exercise mrg
Recommend
More recommend
