/[MITgcm]/MITgcm_contrib/ecco_utils/input_ecco_processing/README_sla.txt
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1 C.King April 27, 2016
2 RADS satellite altimeter data for ECCO v4 (LLC90) assimilation
3
4 RADS (Radar Altimeter Database System project; Scharroo et al 2013)
5 is part of NEONET (Netherlands Earth Observation NETwork), for exploitation
6 of remote-sensing expertise and data.
7 DEOS (The Delft Institute for Earth-Oriented Space Research)
8 has built a data base that contains validated and cross-calibrated altimeter
9 data products that are consistent in accuracy, format, correction and
10 reference system parameters. http://rads.tudelft.nl
11
12 The following corrections and flags were applied:
13 CNES GDR-E orbital altitude [m] 425
14 Ku-band range corrected for instr. effects 601
15 ECMWF dry tropospheric correction [m] 701
16 radiometer wet tropospheric correction [m] 801
17 smoothed dual-frequency ionospheric correct 903
18 static inverse barometer correction [m] 1002
19 solid earth tide [m] 1101
20 GOT4.10 ocean tide [m] 1222
21 GOT4.10 load tide [m] 1322
22 pole tide [m] 1401
23 CLS non-parametric sea state bias [m] 1502
24 ||DTU10 mean sea surface height [m] 1614 topex,jason1,ers,env,gfo
25 ||DTU15 mean sea surface height [m] 1618 jason2,cryosat2,saral
26 Ku-band significant wave height [m] 1701
27 Ku-band backscatter coefficient [dB] 1801
28 std dev of Ku-band range [m] 2002
29 number of valid Ku-band measurements (MLE3) 2101
30 flag word 2601
31 std dev of Ku-band significant wave height 2802
32 std dev of Ku-band backscatter coefficient 2902
33 off-nadir pointing angle squared from wavef 3002
34 reference frame offset [m] 3801
35 sea ice concentration [%] 4701
36
37 The along-track sea surface height anomaly fields have been
38 daily bin-averaged onto the ECCO v4 model grid,
39 using gcmfaces (see Forget et al 2015), and organized by year.
40 Outliers have been removed using a standard deviation scheme (see Forget and Ponte 2015).
41 Missing values and land are masked with -9999.
42
43 The codes that implement the above data processing can be found in
44 http://mitgcm.org/viewvc/MITgcm/MITgcm_contrib/ecco_utils/input_ecco_processing/code_sla/
45
46 The names of this dataset are:
47 RADS_TJ_mar2016_YYYY where YYYY=1992:2015 Topex, Jason
48 RADS_GFO_C2_mar2016_YYYY GFO, Cryosat-2
49 RADS_ERS_ENV_SA_mar2016_YYYY ERS, ENV, Saral
50
51 References:
52 Scharroo, R., E. W. Leuliette, J. L. Lillibridge, D. Byrne, M. C. Naeije, and G. T. Mitchum,
53 RADS: Consistent multi-mission products, in Proc. of the Symposium on 20 Years of Progress in
54 Radar Altimetry, Venice, 20-28 September 2012, Eur. Space Agency Spec. Publ., ESA SP-710, p. 4 pp., 2013.
55 Forget, G., J.-M. Campin, P. Heimbach, C. N. Hill, R. M. Ponte, and C. Wunsch, 2015:
56 ECCO version 4: an integrated framework for non-linear inverse modeling and global ocean
57 state estimation. Geoscientific Model Development, 8, 3071-3104, doi:10.5194/gmd-8-3071-2015
58 Forget, G. and R. Ponte, 2015: The partition of regional sea level variability. Progress
59 in Oceanography, (137), 173–195, doi:10.1016/j.pocean.2015.06.002
60
61 Contact us:
62 ecco-support@mit.edu
63 (please subscribe via http://mailman.mit.edu/mailman/listinfo/ecco-support)

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