Download presentation
Presentation is loading. Please wait.
Published byVanessa Cunningham Modified over 8 years ago
1
OS-ESL meeting, Barcelona, February 21-22 nd, 2011 OTT sensitivity study and Sun correction impact J. Gourrion and the SMOS-BEC team SMOS-BEC, ICM/CSIC
2
OS-ESL meeting, Barcelona, February 21-22 nd, 2011 OTT sensitivity DPGS OTT Impact on OTT quality of different factors: 1.Galactic signals 2.Number of snapshots used 3.Apparent drift (or temporal integration window width) Experiments designed to remove inter-dependence OTT quality criterion: stability, level of dependence on the subset of data
3
OS-ESL meeting, Barcelona, February 21-22 nd, 2011 OTT sensitivity Force independence of factor 2 (constant number of snapshots N) and 3 (use a 12-days period) Galactic potential contamination detection: threshold on the incident field (3.5 to 8 K) For each threshold value, N snapshots are randomly selected, and an OTT computed Using the lowest threshold value as reference, we compute the OTT rms increase due to increasing galactic contamination Impact of galactic contamination
4
OS-ESL meeting, Barcelona, February 21-22 nd, 2011 Force independence of factor 1 (strict galactic filter) and 3 (use a 12-days period) For three different periods, the reference situation is given by the overall number of available snapshots after filtering. the number of snapshots is progressively reduced, snapshots are randomly selected and corresponding OTTs are computed OTT rms increase is computed as a function of snapshot number reduction factor and averaged over the 3 datasets (consistency checked) OTT sensitivity Impact of number of snapshots
5
OS-ESL meeting, Barcelona, February 21-22 nd, 2011 OTT sensitivity Impact of number of snapshots
6
OS-ESL meeting, Barcelona, February 21-22 nd, 2011 OTT sensitivity Impact of number of snapshots
7
OS-ESL meeting, Barcelona, February 21-22 nd, 2011 Force independence of factor 1 (strict galactic filter) and 2 (constant number of snapshots N) The temporal window width is increased from 6 days to 48 days In each case, N snapshots are randomly selected, and an OTT computed Using the shortest temporal window as reference, we compute the OTT rms increase due to increasing data inconsistency OTT sensitivity Impact of apparent drift
8
OS-ESL meeting, Barcelona, February 21-22 nd, 2011 As expected, the number of snapshots used to compute the OTT should be kept as high as possible, the upper limit being set by other constraints Galaxy presence in the snapshots used to compute the OTT may induce large errors in the characterization of systematic instrument/reconstruction biases (up to 0.4 K rms at X- and Y-pol) Apparent instrumental drift can induce significant errors. If not canceled, numbers provided should help defining the OTT recomputation period. OTT sensitivity Summary
9
OS-ESL meeting, Barcelona, February 21-22 nd, 2011 Direct sun correction impact Using DPGS file : SM_OPER_MIR_SC_F1B_20100803T131914_20100803T141314_340_001_0
10
OS-ESL meeting, Barcelona, February 21-22 nd, 2011 Direct sun correction impact Using DPGS file : SM_OPER_MIR_SC_F1B_20100803T131914_20100803T141314_340_001_0
11
OS-ESL meeting, Barcelona, February 21-22 nd, 2011 Direct sun correction impact Using DPGS file : SM_OPER_MIR_SC_F1B_20100803T131914_20100803T141314_340_001_0 * 0.1-0.2 K shift * no impact on latitudinal variations
12
OS-ESL meeting, Barcelona, February 21-22 nd, 2011 Direct sun correction impact Using DPGS file : SM_OPER_MIR_SC_F1B_20101110T031502_20101110T040900_340_001_0
13
OS-ESL meeting, Barcelona, February 21-22 nd, 2011 Direct sun correction impact Using DPGS file : SM_OPER_MIR_SC_F1B_20101110T031502_20101110T040900_340_001_0
14
OS-ESL meeting, Barcelona, February 21-22 nd, 2011 Direct sun correction impact Using DPGS file : SM_OPER_MIR_SC_F1B_20101110T031502_20101110T040900_340_001_0 1K impact on latitudinal variations
15
OS-ESL meeting, Barcelona, February 21-22 nd, 2011 Data processing 31 days week of Full-pol data from Augus Level 1 Operational Processor version 3.3.0 Land contamination detected at Level 1B: much wider FOV than at L1C Only pure Ocean scenes are kept (less than 0.25% of land pixels) RFI detection in the Alias-Free FOV: threshold on the allowed maximum departure from model (20 K) Reconstruction bias pattern estimated from the 6-days dataset subsampled to homogenize the geophysical conditions histograms (wind speed and SST) over the FOV.
16
OS-ESL meeting, Barcelona, February 21-22 nd, 2011 Summary Variability of the distribution of observed geophysical conditions inside the FOV, when computing the OTT, may introduce inconsistencies in the modified brightness temperatures Adequate snapshot selection procedure enables to reduce consequent biases in the retrieved salinities. The procedure requires much more data than one half-orbit. The residual SSS anomalies are highly reduced when using a roughness-improved forward model (IQR divided by 2, Y-pol) In terms of salinity, X-pol is much noisier than Y-pol. To further reduce the SSS errors: work on the roughness description and more generally on the forward model improve the inversion method from the present linear approach
Similar presentations
© 2025 SlidePlayer.com. Inc.
All rights reserved.