Validation of Low Resolution Sea Ice Drift Products

View validation statistics and plots for:

 

NH Validation results for merged / multi-sensor product

In the following table, monthly validation statistics for the multi-sensor/merged sea ice drift product are reported upon. X and Y denote the 2 components of the drift vectors. b() is the bias and s() the standard deviation of the error e(X) = Xproduct - Xreference (in km). Columns 6, 7 and 8 are respectively the slope, the intercept of the regression line, and the Pearson correlation coefficient between Product and Reference data pairs. N is the number of collocation data pairs.

Merged / Multi-sensor product (NH)
Period b(X) [km] b(Y) [km] s(X) [km] s(Y) [km] a b [km] corr N plots
Jan2012 -0.291 -0.060 3.001 2.475 0.95 -0.298 0.98 266 map1, map2
Feb2012 -0.195 +0.043 2.275 2.173 0.95 -0.084 0.97 241
Mar2012 -0.150 -0.177 2.557 2.236 0.95 -0.156 0.94 265
Apr2012 -0.378 +0.534 3.096 3.085 0.87 +0.181 0.94 234
May2012 -- -- -- -- -- -- -- 0
Jun2012 -- -- -- -- -- -- -- 0
Jul2012 -- -- -- -- -- -- -- 0 map1, map2
Aug2012 -- -- -- -- -- -- -- 0
Sep2012 -- -- -- -- -- -- -- 0
Oct2012 -0.355 +0.091 4.132 3.991 0.92 +0.089 0.95 436
Nov2012 -0.017 +0.073 3.802 3.795 0.95 +0.097 0.97 506
Dec2012 +0.096 +0.044 3.349 2.988 0.93 +0.192 0.96 526
Jan2013 +0.448 +0.096 3.173 3.076 0.96 +0.038 0.98 430 map1, map2
Feb2013 +0.187 -0.290 2.890 3.112 0.92 -0.051 0.93 354
Mar2013 -0.089 +0.542 3.761 3.682 0.92 +0.226 0.97 351
Apr2013 -0.163 -0.684 3.041 5.546 0.82 -0.263 0.92 358
May2013 -- -- -- -- -- -- -- 0
Jun2013 -- -- -- -- -- -- -- 0
Jul2013 -- -- -- -- -- -- -- 0 map1, map2
Aug2013 -- -- -- -- -- -- -- 0
Sep2013 -- -- -- -- -- -- -- 0
Oct2013 -0.548 -0.596 3.769 3.968 0.95 -0.295 0.96 450
Nov2013 -0.113 -0.625 3.943 4.974 0.90 +0.237 0.95 424
Dec2013 +0.265 -0.205 3.170 3.071 0.95 +0.025 0.97 335
Jan2014 +0.404 +0.306 3.834 3.568 0.93 +0.151 0.96 328 map1, map2, map3, qqplot, scattdXdY, scatteXeY
Feb2014 +0.005 -0.325 3.138 3.322 0.94 -0.176 0.96 317
Mar2014 -0.120 -0.069 2.791 2.705 0.98 -0.057 0.96 427
Apr2014 -0.339 -0.147 3.351 3.118 0.97 -0.099 0.96 514
May2014 -- -- -- -- -- -- -- 0
Jun2014 -- -- -- -- -- -- -- 0
Jul2014 -- -- -- -- -- -- -- 0 map1, map2, map3, qqplot, scattdXdY, scatteXeY
Aug2014 -- -- -- -- -- -- -- 0
Sep2014 -- -- -- -- -- -- -- 0
Oct2014 -0.225 +0.280 4.770 5.108 0.90 -0.148 0.93 413
Nov2014 +0.459 -0.101 3.508 3.463 0.95 +0.266 0.96 458
Dec2014 -0.187 -0.266 2.883 2.961 0.97 -0.243 0.97 477
Jan2015 +0.138 -0.301 3.202 3.035 0.93 -0.080 0.95 489 map1, map2, map3, qqplot, scattdXdY, scatteXeY
Feb2015 -0.669 -0.406 3.601 2.831 0.92 -0.336 0.96 403
Mar2015 -0.288 -0.387 3.730 4.334 0.82 -0.019 0.93 405
Apr2015 +0.172 -0.404 3.411 2.803 0.95 -0.101 0.96 366
May2015 -- -- -- -- -- -- -- 0
Jun2015 -- -- -- -- -- -- -- 0
Jul2015 -- -- -- -- -- -- -- 0 map1, map2, map3, qqplot, scattdXdY, scatteXeY
Aug2015 -- -- -- -- -- -- -- 0
Sep2015 -- -- -- -- -- -- -- 0
Oct2015 -0.497 +0.754 4.464 4.894 0.77 +1.402 0.91 143
Nov2015 -0.455 -0.123 3.165 3.004 0.89 -0.067 0.97 417
Dec2015 -0.218 -0.376 3.135 3.498 0.93 -0.169 0.97 415
Jan2016 -0.049 -0.145 2.362 2.428 0.95 -0.041 0.98 613 mapMisLen, mapTime, mapNetw, qqplot, scattdXdY, scatteXeY
Feb2016 -0.262 +0.260 2.669 2.346 0.96 0.039 0.98 536
Mar2016 -0.463 -0.143 2.780 2.231 0.91 -0.114 0.95 508
Apr2016 +0.096 -0.536 1.628 2.147 0.96 -0.110 0.97 446
May2016 -- -- -- -- -- -- -- 0
Jun2016 -- -- -- -- -- -- -- 0
Jul2016 -- -- -- -- -- -- -- 0 mapMisLen, mapTime, mapNetw, qqplot, scattdXdY, scatteXeY
Aug2016 -- -- -- -- -- -- -- 0
Sep2016 -- -- -- -- -- -- -- 0
Oct2016 +0.391 -0.325 5.098 4.612 0.88 0.207 0.94 379
Nov2016 -0.409 -0.512 3.844 4.409 0.90 -0.410 0.96 385
Dec2016 +0.100 -0.947 3.171 4.819 0.88 -0.179 0.96 335
Jan2017 -0.379 +0.136 2.391 2.071 0.97 0.141 0.98 258 mapMisLen, mapTime, mapNetw, qqplot, scattdXdY, scatteXeY
Feb2017 +0.237 +0.244 1.751 1.708 0.98 0.285 0.99 219
Mar2017 -0.321 -0.049 2.340 2.099 0.94 0.415 0.98 251
Apr2017 +0.201 -0.147 1.710 1.825 0.98 0.083 0.98 231
May2017 +1.057 -1.375 3.718 2.442 0.96 -0.341 0.94 26
Jun2017 -0.578 -1.265 4.089 4.231 0.90 -0.710 0.93 140
Jul2017 -0.095 +0.754 5.944 6.279 0.73 0.445 0.85 127 mapMisLen, mapTime, mapNetw, qqplot, scattdXdY, scatteXeY
Aug2017 -0.559 +1.916 9.260 8.065 0.70 1.347 0.76 52
Sep2017 -0.484 +0.998 5.728 4.935 0.88 0.550 0.94 116
Oct2017 +0.407 -0.371 2.679 2.652 0.94 0.097 0.97 142
Nov2017 -0.473 -0.238 2.499 3.745 0.93 -0.403 0.96 175
Dec2017 -1.087 -3.194 3.546 10.566 0.60 -1.673 0.85 30
Jan2018 +0.236 +0.286 1.633 1.960 0.95 0.336 0.98 173 mapMisLen, mapTime, mapNetw, qqplot, scattdXdY, scatteXeY
Feb2018 -0.039 -0.591 3.045 3.356 0.93 -0.447 0.98 148
Mar2018 -0.061 +0.388 1.716 1.743 0.93 0.183 0.99 149
Apr2018 +0.115 +0.033 1.198 1.398 0.95 0.068 0.98 124
May2018 -0.007 +0.391 2.160 2.717 0.92 -0.102 0.97 294
Jun2018 +0.052 -0.314 4.238 4.331 0.87 -0.244 0.93 277
Jul2018 +0.020 +0.398 5.456 6.292 0.87 0.516 0.88 208 mapMisLen, mapTime, mapNetw, qqplot, scattdXdY, scatteXeY
Aug2018 +0.961 +0.128 5.165 5.678 0.84 0.466 0.91 272
Sep2018 +0.162 -0.289 5.429 4.781 0.87 0.420 0.91 432
Oct2018 -0.324 -0.496 3.839 3.180 0.92 -0.036 0.95 735
Nov2018 -0.182 -0.050 2.498 2.499 0.93 0.136 0.97 714
Dec2018 -0.535 -0.250 2.519 4.012 0.92 -0.011 0.97 664
Jan2019 +0.185 -0.443 2.192 2.583 0.93 0.162 0.96 594 mapMisLen, mapTime, mapNetw, qqplot, scattdXdY, scatteXeY
Feb2019 -0.348 -0.482 2.734 2.950 0.88 0.560 0.95 529
Mar2019 -0.458 -1.265 2.832 5.135 0.75 0.463 0.93 518
Apr2019 +0.137 +0.097 2.215 2.108 0.98 0.155 0.96 436
May2019 +0.146 -0.801 2.477 3.325 0.90 0.000 0.94 441
Jun2019 -0.174 -0.539 4.196 4.294 0.86 -0.003 0.93 377
Validation results for the multi-sensor ice drift (multi-oi) product in North Hemisphere. See text for details.

Validation dataset

Drifting stations

Validation is performed by collocation of the drift vectors with the trajectories of in situ drifters. Those drifting objects are generally buoys (e.g. the Ice Tethered Profilers) or ice camps (e.g. the Russian manned stations) that report their position at typically hourly intervals. Those trajectories are generally made available in near-real-time or at the end of the mission onto the ice.
Position records are acquired either via the GPS (e.g. those of the ITPs) or the Argos Doppler-shift system (those of the iABP). GPS positions are very accurate (accuracy better than 50 m) while those obtained by Argos have worse accuracy (approximately 350 m for 'high quality' records).

SAR-based motion vectors

The ice drift product processed from Envisat ASAR WSM scenes at the Danish Technological Institute (DTU) and available via the MyOcean project have been used as validation data for the OSI SAF low resolution ice drit products (mainly for SH).
Vectors originally spanning 24-hours are concatenated to producte 2-days displacements that are collocated with the OSI-405 ice drift vectors.

Collocation strategy

A nearest-neighbor approach is used for the collocation, and a collocation pair enters the validation dataset if and only if:

  • The distance between the satellite product and the buoy is less than 30 km; and
  • the mismatch of start time of the drift is less than 3 hours; and
  • the mismatch of drift duration is less than 3 hours.

In the case when several validation vectors are collocated to a unique OSI-405 ice drift vector, only one is kept for the validation, preferably GPS-based vectors, then SAR-based, then Argos-based. The matchup database is futher thinned so that all data pairs are at least 2 * 62.5 = 125 km apart.

Acknowledgement and data sources

  • The Ice-Tethered Profiler data are collected and made available by the Ice-Tethered Profiler Program based at the Woods Hole Oceanographic Institution.
  • Ice Mass Balance buoys from the Cold Regions Research and Engineering Laboratory (CRREL) are collected and made available by Perovich, et al. (2013).
  • Ice Mass Balance buoys in NAACOS (Danish strategic research council), KOPRI (co-funded between EU-Access and KOPRI), EU FP7 ACCESS, and AWI campaigns are operated by the Scottish Association for Marine Science.
  • GPS-located data from Russsian stations (NP35, NP36, NP37, NP38, etc...) are kindly provided by the Arctic and Antarctic Research Institute (AARI) of Roshydromet, PIs Vladimir Sokolov and Vasily Smolyanitsky.
  • Position records from the International Arctic Buoy Programme IABP (Argos positioning) are kindly provided by the University of Washington, PIs Ignatius Rigor and Mark Ortmeyer.
  • ASAR WSM ice motion vectors are processed at the Danish Technical University - Space institute (see http://www.seaice.dk) and distributed by the Sea Ice and Winds Thematic Assembly Centre (SIW TAC) of the MyOcean project.

 


 

 

Validation results for the single-sensor products

AMSR2 GCOM-W1 (operational since October 2015)

Single-sensor product: AMSR2 (GCOM-W1)
Period b(X) [km] b(Y) [km] s(X) [km] s(Y) [km] a b [km] corr N plots
Jul2015 -- -- -- -- -- -- -- 0 map1, map2, map3, qqplot, scattdXdY, scatteXeY
Aug2015 -- -- -- -- -- -- -- 0
Sep2015 -- -- -- -- -- -- -- 0
Oct2015 -0.825 +0.589 5.747 5.004 0.75 +1.351 0.89 133
Nov2015 -0.309 -0.193 2.784 2.461 0.93 -0.099 0.98 390
Dec2015 -0.124 +0.053 2.544 2.296 0.98 -0.007 0.98 374
Jan2016 +0.058 -0.050 1.635 1.660 0.99 0.012 0.99 568 mapMisLen, mapTime, mapNetw, qqplot, scattdXdY, scatteXeY
Feb2016 -0.217 +0.219 2.032 2.227 0.98 0.019 0.98 478
Mar2016 -0.165 -0.071 1.483 1.729 0.98 -0.090 0.98 416
Apr2016 +0.066 -0.578 1.525 2.058 0.97 -0.176 0.97 374
May2016 -- -- -- -- -- -- -- 0
Jun2016 -- -- -- -- -- -- -- 0
Jul2016 -- -- -- -- -- -- -- 0 mapMisLen, mapTime, mapNetw, qqplot, scattdXdY, scatteXeY
Aug2016 -- -- -- -- -- -- -- 0
Sep2016 -- -- -- -- -- -- -- 0
Oct2016 +0.065 -0.294 3.982 3.963 0.93 0.027 0.95 318
Nov2016 -0.164 -0.598 3.053 3.413 0.94 -0.399 0.97 358
Dec2016 -0.177 -1.308 3.194 5.003 0.88 -0.559 0.95 297
Jan2017 -0.451 +0.263 2.101 1.686 0.99 0.004 0.99 234 mapMisLen, mapTime, mapNetw, qqplot, scattdXdY, scatteXeY
Feb2017 +0.350 +0.217 1.569 1.526 0.98 0.330 0.99 220
Mar2017 -0.155 +0.023 1.644 1.778 0.96 0.339 0.99 245
Apr2017 +0.117 -0.169 1.690 1.774 0.98 0.026 0.98 221
May2017 -- -- -- -- -- -- -- 0
Jun2017 -- -- -- -- -- -- -- 0
Jul2017 -- -- -- -- -- -- -- 0 mapMisLen, mapTime, mapNetw, qqplot, scattdXdY, scatteXeY
Aug2017 -- -- -- -- -- -- -- 0
Sep2017 -- -- -- -- -- -- -- 0
Oct2017 +0.416 +0.003 2.115 2.177 0.99 0.204 0.99 130
Nov2017 -0.169 +0.369 2.231 2.206 0.98 0.073 0.98 153
Dec2017 -1.466 -2.846 4.041 10.548 0.64 -1.700 0.84 30
Jan2018 +0.252 +0.157 1.225 1.591 0.96 0.248 0.99 163 mapMisLen, mapTime, mapNetw, qqplot, scattdXdY, scatteXeY
Feb2018 +0.026 -0.220 2.905 2.858 0.96 -0.215 0.98 142
Mar2018 -0.075 +0.161 1.489 1.604 0.95 0.059 0.99 148
Apr2018 -0.028 -0.019 1.185 0.987 0.97 -0.033 0.99 112
May2018 -- -- -- -- -- -- -- 0
Jun2018 -- -- -- -- -- -- -- 0
Jul2018 -- -- -- -- -- -- -- 0 mapMisLen, mapTime, mapNetw, qqplot, scattdXdY, scatteXeY
Aug2018 -- -- -- -- -- -- -- 0
Sep2018 -- -- -- -- -- -- -- 0
Oct2018 -0.129 -0.557 3.400 2.973 0.94 -0.099 0.95 676
Nov2018 -0.023 +0.157 2.273 2.013 0.96 0.189 0.98 695
Dec2018 -0.284 +0.067 1.991 2.283 0.97 0.025 0.99 634
Jan2019 +0.136 -0.228 1.867 2.000 0.97 0.080 0.98 586 mapMisLen, mapTime, mapNetw, qqplot, scattdXdY, scatteXeY
Feb2019 -0.291 -0.115 2.152 1.673 0.97 0.012 0.97 501
Mar2019 -0.344 -0.966 2.248 4.470 0.80 0.300 0.94 460
Apr2019 -0.033 -0.002 1.798 1.997 1.00 -0.018 0.97 401
May2019 -- -- -- -- -- -- -- 0
Jun2019 -- -- -- -- -- -- -- 0
Validation results for the amsr2-gw1 (single-sensor) ice drift product. Same columns as tables above.

 

SSMIS F18 (earlier F17 and SSM/I F15)

Single-sensor product: SSM/I (F15)
Period b(X) [km] b(Y) [km] s(X) [km] s(Y) [km] a b [km] corr N plots
Jan2012 -0.477 +0.004 3.744 3.043 0.97 -0.306 0.96 255 map1, map2
Feb2012 -0.151 +0.040 2.702 2.828 0.97 -0.059 0.95 242
Mar2012 -0.243 -0.126 2.910 2.776 0.98 -0.181 0.92 264
Apr2012 -0.480 +0.446 3.789 3.742 0.85 -0.034 0.90 196
May2012 -- -- -- -- -- -- -- 0
Jun2012 -- -- -- -- -- -- -- 0
Jul2012 -- -- -- -- -- -- -- 0 map1, map2
Aug2012 -- -- -- -- -- -- -- 0
Sep2012 -- -- -- -- -- -- -- 0
Oct2012 -0.432 +0.593 4.405 4.823 0.94 +0.255 0.93 383
Nov2012 -0.067 -0.186 4.814 4.844 0.96 -0.065 0.95 473
Dec2012 +0.117 +0.254 3.522 3.557 0.94 +0.259 0.95 508
Switch to SSMIS (F17)
Jan2013 +0.484 -0.119 3.159 3.357 0.97 -0.007 0.97 408 map1, map2
Feb2013 +0.089 -0.151 3.088 2.570 0.98 -0.034 0.94 346
Mar2013 +0.021 +0.634 3.669 3.423 0.94 +0.330 0.97 316
Apr2013 -0.156 -0.443 3.836 5.620 0.84 -0.354 0.90 312
May2013 -- -- -- -- -- -- -- 0
Jun2013 -- -- -- -- -- -- -- 0
Jul2013 -- -- -- -- -- -- -- 0 map1, map2
Aug2013 -- -- -- -- -- -- -- 0
Sep2013 -- -- -- -- -- -- -- 0
Oct2013 -0.411 -0.522 4.437 4.203 0.97 -0.281 0.95 406
Nov2013 -0.133 -0.107 4.161 3.690 0.95 +0.132 0.96 389
Dec2013 +0.200 -0.077 2.976 3.398 0.96 +0.054 0.96 327
Jan2014 +0.298 +0.180 4.273 3.894 0.94 +0.046 0.95 325 map1, map2, map3, qqplot, scattdXdY, scatteXeY
Feb2014 +0.022 -0.278 4.307 4.004 0.95 -0.121 0.94 306
Mar2014 -0.137 -0.119 3.312 2.911 0.99 -0.115 0.95 414
Apr2014 -0.320 -0.035 4.054 3.868 0.98 -0.106 0.94 460
May2014 -- -- -- -- -- -- -- 0
Jun2014 -- -- -- -- -- -- -- 0
Jul2014 -- -- -- -- -- -- -- 0 map1, map2, map3, qqplot, scattdXdY, scatteXeY
Aug2014 -- -- -- -- -- -- -- 0
Sep2014 -- -- -- -- -- -- -- 0
Oct2014 -0.365 +0.315 4.795 5.090 0.93 -0.155 0.93 346
Nov2014 +0.506 -0.120 3.683 3.166 0.97 +0.245 0.96 419
Dec2014 -0.135 -0.148 3.427 3.189 0.98 -0.149 0.96 464
Jan2015 +0.032 -0.217 3.649 3.390 0.95 -0.092 0.94 474 map1, map2, map3, qqplot, scattdXdY, scatteXeY
Feb2015 -0.360 -0.434 3.390 2.901 0.96 -0.315 0.96 380
Mar2015 +0.001 -0.206 3.272 3.072 0.92 -0.013 0.95 378
Apr2015 -0.008 -0.363 3.826 3.625 0.95 -0.196 0.94 337
May2015 -- -- -- -- -- -- -- 0
Jun2015 -- -- -- -- -- -- -- 0
Jul2015 -- -- -- -- -- -- -- 0 map1, map2, map3, qqplot, scattdXdY, scatteXeY
Aug2015 -- -- -- -- -- -- -- 0
Sep2015 -- -- -- -- -- -- -- 0
Oct2015 -0.422 +0.640 4.509 6.308 0.81 +1.199 0.88 127
Nov2015 +0.054 -0.032 4.235 3.881 0.91 +0.192 0.95 360
Dec2015 -0.406 -0.523 4.145 3.812 0.96 -0.378 0.96 376
Jan2016 +0.001 -0.142 3.815 4.093 0.98 -0.052 0.94 525 mapMisLen, mapTime, mapNetw, qqplot, scattdXdY, scatteXeY
Feb2016 -0.291 +0.413 4.449 3.833 0.96 0.111 0.94 438
Mar2016 -0.172 -0.669 3.407 3.832 0.97 -0.376 0.90 367
Apr2016 +0.238 -0.458 3.013 3.133 0.99 -0.087 0.93 370
May2016 -- -- -- -- -- -- -- 0
Jun2016 -- -- -- -- -- -- -- 0
Jul2016 -- -- -- -- -- -- -- 0 mapMisLen, mapTime, mapNetw, qqplot, scattdXdY, scatteXeY
Aug2016 -- -- -- -- -- -- -- 0
Sep2016 -- -- -- -- -- -- -- 0
Oct2016 +0.550 -0.582 4.920 4.777 0.89 0.139 0.94 310
Nov2016 +0.233 -0.180 4.919 4.516 0.93 -0.018 0.94 340
Dec2016 +0.275 -0.468 4.698 4.826 0.91 0.063 0.93 295
Jan2017 -0.541 -0.080 3.418 3.624 0.96 -0.026 0.96 218 mapMisLen, mapTime, mapNetw, qqplot, scattdXdY, scatteXeY
Feb2017 +0.331 +0.215 3.497 2.998 0.97 0.344 0.96 215
Mar2017 -0.367 -0.229 3.694 3.532 0.93 0.343 0.95 243
Apr2017 +0.527 -0.297 3.285 3.368 1.02 0.052 0.93 215
May2017 -- -- -- -- -- -- -- 0
Jun2017 -- -- -- -- -- -- -- 0
Jul2017 -- -- -- -- -- -- -- 0 mapMisLen, mapTime, mapNetw, qqplot, scattdXdY, scatteXeY
Aug2017 -- -- -- -- -- -- -- 0
Sep2017 -- -- -- -- -- -- -- 0
Oct2017 +0.569 +0.164 4.842 4.101 0.95 0.385 0.94 111
Nov2017 +0.055 +0.436 4.013 3.919 0.99 0.240 0.95 138
Dec2017 -1.003 -2.264 4.958 8.488 0.82 -1.412 0.88 30
Switch to SSMIS F18
Jan2018 -0.039 -0.007 3.671 4.145 0.99 0.004 0.93 105 mapMisLen, mapTime, mapNetw, qqplot, scattdXdY, scatteXeY
Feb2018 -0.157 -0.710 3.888 4.505 0.96 -0.540 0.95 124
Mar2018 +0.011 +0.325 2.625 3.331 0.94 0.186 0.96 146
Apr2018 +0.031 -0.045 2.805 2.636 0.97 -0.015 0.92 115
May2018 -- -- -- -- -- -- -- 0
Jun2018 -- -- -- -- -- -- -- 0
Jul2018 -- -- -- -- -- -- -- 0 mapMisLen, mapTime, mapNetw, qqplot, scattdXdY, scatteXeY
Aug2018 -- -- -- -- -- -- -- 0
Sep2018 -- -- -- -- -- -- -- 0
Oct2018 -0.306 -0.755 5.741 5.704 0.93 -0.250 0.86 516
Nov2018 +0.083 +0.014 3.741 3.660 0.94 0.233 0.94 659
Dec2018 -0.339 -0.045 3.198 3.816 0.95 -0.124 0.96 333
Jan2019 +0.216 -0.482 2.682 3.567 0.97 0.001 0.94 345 mapMisLen, mapTime, mapNetw, qqplot, scattdXdY, scatteXeY
Feb2019 -0.293 -0.276 3.616 3.836 0.96 0.040 0.91 488
Mar2019 -0.165 -0.697 3.332 4.351 0.84 0.290 0.91 469
Apr2019 +0.031 -0.069 3.683 3.762 0.97 0.024 0.90 394
May2019 -- -- -- -- -- -- -- 0
Jun2019 -- -- -- -- -- -- -- 0

 

ASCAT MetopA

Single-sensor product: ASCAT (MetOp-A)
Period b(X) [km] b(Y) [km] s(X) [km] s(Y) [km] a b [km] corr N plots
Jan2012 -0.195 +0.011 3.336 2.953 0.97 -0.164 0.97 265 map1, map2
Feb2012 -0.270 +0.055 2.789 2.912 0.95 -0.117 0.95 241
Mar2012 -0.054 -0.289 3.531 3.002 0.97 -0.166 0.88 263
Apr2012 -0.540 +0.677 4.120 4.103 0.86 +0.161 0.89 222
May2012 -- -- -- -- -- -- -- 0
Jun2012 -- -- -- -- -- -- -- 0
Jul2012 -- -- -- -- -- -- -- 0 map1, map2
Aug2012 -- -- -- -- -- -- -- 0
Sep2012 -- -- -- -- -- -- -- 0
Oct2012 -0.371 -0.345 5.071 5.259 0.95 -0.190 0.91 384
Nov2012 -0.059 +0.093 4.456 4.568 0.95 +0.090 0.96 498
Dec2012 +0.300 -0.085 4.016 3.666 0.96 +0.162 0.94 513
Jan2013 +0.278 +0.117 4.408 3.982 0.96 -0.013 0.96 418 map1, map2
Feb2013 +0.538 +0.016 4.192 4.224 0.93 +0.299 0.84 335
Mar2013 -0.230 +0.367 4.776 4.644 0.95 +0.094 0.95 319
Apr2013 +0.049 +0.025 3.683 4.584 0.93 +0.020 0.92 323
May2013 -- -- -- -- -- -- -- 0
Jun2013 -- -- -- -- -- -- -- 0
Jul2013 -- -- -- -- -- -- -- 0 map1, map2
Aug2013 -- -- -- -- -- -- -- 0
Sep2013 -- -- -- -- -- -- -- 0
Oct2013 -0.353 -0.666 5.130 5.633 0.95 -0.222 0.92 421
Nov2013 -0.183 -0.447 4.700 4.775 0.94 -0.010 0.95 384
Dec2013 +0.246 -0.224 3.776 3.921 0.96 -0.003 0.95 323
Jan2014 +0.589 +0.672 4.566 4.603 0.94 +0.440 0.94 317 map1, map2, map3, qqplot, scattdXdY, scatteXeY
Feb2014 +0.077 -0.360 3.449 4.103 0.95 -0.151 0.95 317
Mar2014 -0.142 +0.107 3.387 3.934 0.98 +0.019 0.93 417
Apr2014 -0.173 -0.235 3.485 3.862 0.98 -0.106 0.95 482
May2014 -- -- -- -- -- -- -- 0
Jun2014 -- -- -- -- -- -- -- 0
Jul2014 -- -- -- -- -- -- -- 0 map1, map2, map3, qqplot, scattdXdY, scatteXeY
Aug2014 -- -- -- -- -- -- -- 0
Sep2014 -- -- -- -- -- -- -- 0
Oct2014 +0.211 -0.046 6.505 6.860 0.94 +0.050 0.87 326
Nov2014 +0.366 +0.088 5.084 5.483 0.95 +0.324 0.92 420
Dec2014 -0.210 -0.406 3.841 4.317 0.98 -0.314 0.94 457
Jan2015 +0.248 -0.410 3.820 4.039 0.94 -0.079 0.92 479 map1, map2, map3, qqplot, scattdXdY, scatteXeY
Feb2015 -0.752 -0.572 4.800 4.508 0.91 -0.456 0.92 382
Mar2015 -0.060 -0.216 3.669 3.992 0.93 -0.079 0.92 369
Apr2015 +0.048 -0.233 3.792 3.654 0.99 -0.095 0.94 331
May2015 -- -- -- -- -- -- -- 0
Jun2015 -- -- -- -- -- -- -- 0
Jul2015 -- -- -- -- -- -- -- 0 map1, map2, map3, qqplot, scattdXdY, scatteXeY
Aug2015 -- -- -- -- -- -- -- 0
Sep2015 -- -- -- -- -- -- -- 0
Oct2015 +0.425 +0.497 4.229 4.563 0.94 +0.785 0.91 123
Nov2015 -0.280 -0.097 4.699 4.666 0.93 -0.055 0.91 366
Dec2015 +0.081 -0.286 4.925 4.149 0.96 -0.049 0.94 378
Jan2016 +0.015 -0.018 3.844 3.282 0.97 0.025 0.95 568 mapMisLen, mapTime, mapNetw, qqplot, scattdXdY, scatteXeY
Feb2016 -0.330 +0.403 4.204 3.827 0.97 0.070 0.95 473
Mar2016 -0.189 -0.247 4.215 4.048 0.97 -0.170 0.87 385
Apr2016 +0.079 -0.178 3.632 3.994 0.98 0.005 0.90 358
May2016 -- -- -- -- -- -- -- 0
Jun2016 -- -- -- -- -- -- -- 0
Jul2016 -- -- -- -- -- -- -- 0 mapMisLen, mapTime, mapNetw, qqplot, scattdXdY, scatteXeY
Aug2016 -- -- -- -- -- -- -- 0
Sep2016 -- -- -- -- -- -- -- 0
Oct2016 +0.322 -0.701 5.841 5.662 0.86 0.050 0.90 310
Nov2016 -0.254 -0.144 4.983 5.643 0.92 -0.239 0.93 354
Dec2016 -0.055 -0.575 5.226 6.140 0.91 -0.192 0.91 306
Jan2017 -0.567 +0.130 4.524 4.317 0.96 0.109 0.93 236 mapMisLen, mapTime, mapNetw, qqplot, scattdXdY, scatteXeY
Feb2017 -0.151 +0.262 4.645 4.367 0.99 0.088 0.93 217
Mar2017 -0.303 -0.200 4.213 4.015 0.94 0.255 0.94 243
Apr2017 +0.598 +0.377 3.840 3.433 0.97 0.570 0.92 218
May2017 -- -- -- -- -- -- -- 0
Jun2017 -- -- -- -- -- -- -- 0
Jul2017 -- -- -- -- -- -- -- 0 mapMisLen, mapTime, mapNetw, qqplot, scattdXdY, scatteXeY
Aug2017 -- -- -- -- -- -- -- 0
Sep2017 -- -- -- -- -- -- -- 0
Oct2017 -0.108 -1.350 5.715 5.464 1.01 -0.740 0.90 117
Nov2017 -0.606 +0.221 4.408 4.879 0.97 -0.230 0.92 156
Dec2017 -0.353 -2.810 5.184 10.789 0.71 -1.160 0.81 29
Jan2018 +0.406 +0.389 4.395 4.879 0.95 0.457 0.89 161 mapMisLen, mapTime, mapNetw, qqplot, scattdXdY, scatteXeY
Feb2018 -0.332 -0.015 4.963 4.957 0.95 -0.314 0.94 141
Mar2018 -0.404 +0.455 4.072 5.378 0.96 0.045 0.89 142
Apr2018 -0.635 -0.778 4.607 4.694 0.96 -0.718 0.81 113
May2018 -- -- -- -- -- -- -- 0
Jun2018 -- -- -- -- -- -- -- 0
Jul2018 -- -- -- -- -- -- -- 0 mapMisLen, mapTime, mapNetw, qqplot, scattdXdY, scatteXeY
Aug2018 -- -- -- -- -- -- -- 0
Sep2018 -- -- -- -- -- -- -- 0
Oct2018 -0.369 -0.273 5.772 5.719 0.94 -0.067 0.87 611
Nov2018 -0.043 -0.081 4.599 4.733 0.92 0.193 0.90 660
Dec2018 -0.312 +0.144 3.867 3.768 0.97 0.035 0.96 621
Jan2019 +0.217 -0.641 3.651 4.107 0.91 0.170 0.91 585 mapMisLen, mapTime, mapNetw, qqplot, scattdXdY, scatteXeY
Feb2019 -0.385 -0.541 3.515 3.405 0.90 0.255 0.91 495
Mar2019 -0.105 -0.404 3.555 4.667 0.81 0.631 0.89 474
Apr2019 -0.036 -0.056 2.926 3.370 0.97 0.012 0.93 400
May2019 -- -- -- -- -- -- -- 0
Jun2019 -- -- -- -- -- -- -- 0
Validation results for the ascat-metopA (single-sensor) ice drift product. Same columns as tables above.

 

SH Validation results for merged / multi-sensor product

Merged / Multi-sensor product (SH)
Period b(X) [km] b(Y) [km] s(X) [km] s(Y) [km] a b [km] corr N plots
Jul2016 -0.103 -0.557 6.381 6.948 0.86 -1.082 0.95 322 mapMisLen, mapTime, mapNetw, qqplot, scattdXdY, scatteXeY
Aug2016 +0.094 +0.643 4.379 5.697 0.91 -0.348 0.96 378
Sep2016 -1.100 +0.684 5.944 6.816 0.93 -0.404 0.97 321
Oct2016 -1.256 +0.776 7.117 5.723 0.89 -0.666 0.96 292
Nov2016 -- -- -- -- -- -- -- 0
Dec2016 -- -- -- -- -- -- -- 0
Jan2017 -- -- -- -- -- -- -- 0 mapMisLen, mapTime, mapNetw, qqplot, scattdXdY, scatteXeY
Feb2017 -- -- -- -- -- -- -- 0
Mar2017 -- -- -- -- -- -- -- 0
Apr2017 -0.602 +1.617 5.460 6.477 0.80 -1.698 0.88 20
May2017 -- -- -- -- -- -- -- 0
Jun2017 -- -- -- -- -- -- -- 0
Jan2018 -- -- -- -- -- -- -- 0 mapMisLen, mapTime, mapNetw, qqplot, scattdXdY, scatteXeY
Feb2018 -3.347 +6.187 3.920 6.249 0.32 -6.034 0.42 9
Mar2018 +1.494 -2.085 5.962 7.711 0.66 -0.702 0.88 93
Apr2018 +1.609 -0.641 3.434 3.518 0.86 0.287 0.94 41
May2018 +0.664 -0.399 1.973 2.413 0.98 0.014 0.98 50
Jun2018 +1.111 -0.313 3.484 2.202 0.90 -0.018 0.97 43
Jul2018 +0.108 +0.863 2.303 3.523 0.92 -0.008 0.97 33 mapMisLen, mapTime, mapNetw, qqplot, scattdXdY, scatteXeY
Aug2018 -0.702 -0.553 3.008 2.681 0.92 -0.765 0.99 29
Sep2018 -3.576 +3.456 3.980 6.665 0.75 -1.879 0.94 18
Oct2018 -0.146 +0.887 2.492 2.690 0.91 -0.355 0.99 29
Nov2018 +0.592 +0.422 4.236 8.386 0.76 0.128 0.92 36
Dec2018 +0.186 -0.701 6.518 4.171 0.79 -1.492 0.84 22
Jan2019 -4.625 +1.594 6.137 5.893 1.12 -1.246 0.64 28 mapMisLen, mapTime, mapNetw, qqplot, scattdXdY, scatteXeY
Feb2019 -0.657 -0.539 5.758 6.024 0.85 -2.284 0.88 33
Mar2019 -1.466 +0.133 5.948 4.372 0.76 -2.283 0.90 57
Apr2019 +1.516 +0.965 6.177 8.470 0.83 -0.290 0.93 72
May2019 -1.252 +0.628 7.840 6.605 0.83 -1.871 0.91 161
Jun2019 +0.200 -0.121 4.588 4.203 0.88 -0.370 0.95 96
Validation results for the multi-sensor ice drift (multi-oi) product in South Hemisphere. See text for details.

 

SH AMSR2 GCOM-W1 (operational since October 2015)

Single-sensor product: AMSR2 (GCOM-W1)
Period b(X) [km] b(Y) [km] s(X) [km] s(Y) [km] a b [km] corr N plots
Jul2016 -0.256 -0.202 5.953 6.559 0.87 -0.991 0.95 293 mapMisLen, mapTime, mapNetw, qqplot, scattdXdY, scatteXeY
Aug2016 +0.627 +0.669 4.556 5.956 0.91 -0.109 0.96 335
Sep2016 -0.319 -0.114 4.718 5.613 0.98 -0.279 0.98 279
Oct2016 -0.064 +0.682 5.297 5.577 0.94 0.011 0.97 248
Nov2016 -- -- -- -- -- -- -- 0
Dec2016 -- -- -- -- -- -- -- 0
Jan2017 -- -- -- -- -- -- -- 0 mapMisLen, mapTime, mapNetw, qqplot, scattdXdY, scatteXeY
Feb2017 -- -- -- -- -- -- -- 0
Mar2017 -- -- -- -- -- -- -- 0
Apr2017 +1.526 -1.351 3.072 3.307 0.95 -0.366 0.96 14
May2017 -- -- -- -- -- -- -- 0
Jun2017 -- -- -- -- -- -- -- 0
Jan2018 -- -- -- -- -- -- -- 0 mapMisLen, mapTime, mapNetw, qqplot, scattdXdY, scatteXeY
Feb2018 -- -- -- -- -- -- -- 0
Mar2018 -- -- -- -- -- -- -- 0
Apr2018 +1.601 -0.522 4.162 3.693 0.88 0.358 0.93 42
May2018 +0.111 -0.559 2.547 2.251 1.01 -0.148 0.98 30
Jun2018 +1.210 +0.063 3.564 2.117 0.89 0.206 0.97 43
Jul2018 +0.349 +0.744 2.448 2.987 0.93 0.108 0.98 33 mapMisLen, mapTime, mapNetw, qqplot, scattdXdY, scatteXeY
Aug2018 -0.418 -0.150 2.808 3.303 0.89 -0.458 0.99 29
Sep2018 -3.721 +4.458 4.820 7.985 0.72 -1.903 0.90 17
Oct2018 -0.577 +0.600 2.390 2.895 0.95 -0.438 0.98 29
Nov2018 -- -- -- -- -- -- -- 0
Dec2018 -- -- -- -- -- -- -- 0
Jan2019 -- -- -- -- -- -- -- 0 mapMisLen, mapTime, mapNetw, qqplot, scattdXdY, scatteXeY
Feb2019 -- -- -- -- -- -- -- 0
Mar2019 -- -- -- -- -- -- -- 0
Apr2019 +1.390 +0.291 5.239 5.871 0.94 0.271 0.96 52
May2019 -1.518 +0.062 7.259 5.169 0.91 -1.677 0.93 115
Jun2019 -0.312 -0.266 4.222 3.516 0.89 -0.653 0.96 88
Validation results for the amsr2-gw1 (single-sensor) ice drift product. Same columns as tables above.

 

SSMIS F18 (earlier F17 and SSM/I F15)

Single-sensor product: SSM/I (F15)
Period b(X) [km] b(Y) [km] s(X) [km] s(Y) [km] a b [km] corr N plots
Jul2016 -0.022 -0.739 6.386 6.780 0.92 -0.918 0.94 271 mapMisLen, mapTime, mapNetw, qqplot, scattdXdY, scatteXeY
Aug2016 +0.046 +0.749 6.056 6.982 0.92 -0.227 0.94 325
Sep2016 -1.182 +0.247 8.461 7.853 0.94 -0.704 0.94 209
Oct2016 -0.137 +0.058 7.181 7.417 0.95 -0.361 0.94 204
Nov2016 -- -- -- -- -- -- -- 0
Dec2016 -- -- -- -- -- -- -- 0
Jan2017 -- -- -- -- -- -- -- 0 mapMisLen, mapTime, mapNetw, qqplot, scattdXdY, scatteXeY
Feb2017 -- -- -- -- -- -- -- 0
Mar2017 -- -- -- -- -- -- -- 0
Apr2017 +2.358 -6.303 3.394 4.658 0.35 -6.123 0.35 7
May2017 -- -- -- -- -- -- -- 0
Jun2017 -- -- -- -- -- -- -- 0
Jul2018 -0.185 +0.631 6.680 5.827 0.93 -0.262 0.88 32 mapMisLen, mapTime, mapNetw, qqplot, scattdXdY, scatteXeY
Aug2018 -1.809 -0.302 5.781 6.643 0.92 -1.285 0.92 21
Sep2018 -0.279 +1.776 4.861 5.119 0.91 0.023 0.95 17
Oct2018 -0.010 +0.403 3.601 2.857 0.95 -0.237 0.97 29
Nov2018 -- -- -- -- -- -- -- 0
Dec2018 -- -- -- -- -- -- -- 0
Jan2019 -- -- -- -- -- -- -- 0 mapMisLen, mapTime, mapNetw, qqplot, scattdXdY, scatteXeY
Feb2019 -- -- -- -- -- -- -- 0
Mar2019 -- -- -- -- -- -- -- 0
Apr2019 +1.842 -0.560 6.707 7.716 0.92 -0.039 0.92 45
May2019 -0.912 +1.029 7.331 5.540 0.91 -0.887 0.92 109
Jun2019 +0.987 -1.051 7.112 6.142 0.88 -0.460 0.87 73
Validation results for the ssmis-f18, ssmis-f17, and ssmi-f15 (single-sensor) ice drift product. Same columns as tables above.

 

ASCAT Metop-A

Single-sensor product: ASCAT (MetOp-A)
Period b(X) [km] b(Y) [km] s(X) [km] s(Y) [km] a b [km] corr N plots
Jul2016 -0.252 -0.310 4.301 4.679 0.96 -0.475 0.97 232 mapMisLen, mapTime, mapNetw, qqplot, scattdXdY, scatteXeY
Aug2016 +0.812 +0.943 5.099 6.372 0.92 0.293 0.95 290
Sep2016 -1.227 +0.219 5.780 6.181 0.94 -0.779 0.96 157
Oct2016 -1.241 +0.879 8.202 7.248 0.80 -1.261 0.88 109
Nov2016 -- -- -- -- -- -- -- 0
Dec2016 -- -- -- -- -- -- -- 0
Jan2017 -- -- -- -- -- -- -- 0 mapMisLen, mapTime, mapNetw, qqplot, scattdXdY, scatteXeY
Feb2017 -- -- -- -- -- -- -- 0
Mar2017 -- -- -- -- -- -- -- 0
Apr2017 -2.144 +4.949 4.445 11.660 0.79 -2.311 0.86 6
May2017 -- -- -- -- -- -- -- 0
Jun2017 -- -- -- -- -- -- -- 0
Jan2018 -- -- -- -- -- -- -- 0 mapMisLen, mapTime, mapNetw, qqplot, scattdXdY, scatteXeY
Feb2018 -- -- -- -- -- -- -- 0
Mar2018 -- -- -- -- -- -- -- 0
Apr2018 +0.999 -1.368 3.189 3.613 0.87 -0.427 0.95 42
May2018 -0.442 +0.212 2.251 3.240 0.98 -0.304 0.97 32
Jun2018 +0.671 -0.596 3.990 3.687 0.93 -0.285 0.94 41
Jul2018 -0.008 +0.329 4.489 6.364 0.97 -0.007 0.92 31 mapMisLen, mapTime, mapNetw, qqplot, scattdXdY, scatteXeY
Aug2018 -0.013 -0.680 3.899 3.471 0.98 -0.383 0.97 27
Sep2018 -3.880 +1.965 5.919 5.774 0.74 -2.924 0.93 15
Oct2018 -1.095 +0.924 5.039 4.790 0.94 -0.631 0.94 25
Nov2018 -- -- -- -- -- -- -- 0
Dec2018 -- -- -- -- -- -- -- 0
Jan2019 -- -- -- -- -- -- -- 0 mapMisLen, mapTime, mapNetw, qqplot, scattdXdY, scatteXeY
Feb2019 -- -- -- -- -- -- -- 0
Mar2019 -- -- -- -- -- -- -- 0
Apr2019 -0.611 +1.256 3.835 6.084 0.96 -0.256 0.96 29
May2019 -2.968 +0.389 6.552 6.184 0.99 -1.298 0.92 40
Jun2019 +1.110 -0.604 3.927 2.367 0.91 -0.380 0.94 31
Validation results for the ascat-metopA (single-sensor) ice drift product. Same columns as tables above.