The operational Suomi-NPP VIIRS IST product for the Arctic Ocean on February 27, 2012 is shown at left. The VIIRS cloud mask is not applied here, but we.

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The operational Suomi-NPP VIIRS IST product for the Arctic Ocean on February 27, 2012 is shown at left. The VIIRS cloud mask is not applied here, but we see the general trend of sea ice surface temperature, being colder in interior ice pack locations and warmer in more southerly areas. VIIRS IST is computed using a split window algorithm that employs two VIIRS Infrared bands, μm (M15) and μm (M16), for both day and night. This technique is based on the AVHRR heritage IST algorithm (Key and Haefliger, 1992): IST = a 0 + a 1 *T M15 + a 2 *(T M15 - T M16 ) + a 3 *(sec(z)-1), where T M15 and T M16 are the brightness temperatures for bands M15 and M16, respectively, and a 0, a 1, a 2, and a 3 are regression coefficients determined empirically. Figure by D. Baldwin Validation of Suomi NPP-VIIRS IST using IceBridge Measurements M. Tschudi 1, R. Dworak 2, Y. Liu 2, and J. Key 3 Photo: sea ice in Chukchi Sea, ~ 50 km off the NW Alaska coast, June 19,2008. Acquired by M. Tschudi from a USCG C CCAR, Aerospace Engr., UCB 431 Univ. of CO, Boulder, CO SSEC, Univ. of Wisconsin, Madison, WI 3. NOAA/NESDIS, Madison, WI Abstract : Since the beginning of the modern satellite record starting in October 1978, the Arctic sea ice cover has been shrinking, with the largest changes observed at the end of the melt season in September. Through 2014, the September ice extent has declined at a rate of -13.3% dec -1, or -850,500 km 2 dec -1. The eight lowest September extents in the satellite record have all occurred in the past eight years. Perovich et al. [2009] have shown that an early start to sea ice melt increases the total amount of sunlight absorbed through the melt season. Markus and Miller [2011] found that, in 2011, surface melting on sea ice began from two weeks to two months earlier than the 1979 to 2000 average in the Chukchi Sea, off the NW coast of Alaska, and the Barents, Kara, and Laptev Seas, bordering the northern coast of Russia. Ice surface temperature (IST) on sea ice is a critical parameter to discern the timing of the onset and duration of sea ice melt. IST is the radiating or "skin" temperature at the ice surface. It includes the aggregate temperature of objects comprising the ice surface, including snow and melt water on the ice. The Suomi-NPP VIIRS IST Product provides surface temperatures retrieved at VIIRS moderate resolution (750m) for snow/ice covered oceans for both day and night [Key et al., 2013; Justice et al., 2013]. To validate the VIIRS IST data, measurements of IST on sea ice must be compared to IST computed using VIIRS thermal channel data during overpasses. Unfortunately, on-ice IST observations are infrequent and limited in spatial coverage. NASA’s IceBridge campaign, which began in 2009 and is ongoing, provides an IST dataset that is extensive spatially, with several flights each spring over Arctic sea ice and in the fall over Antarctic sea ice. Although the IST measurements from IceBridge are not ground-based, they do provide high- frequency (10 Hz) IST measurements with a small (15m) spot size, ideal for comparing to VIIRS IST in clear sky conditions. Conclusions: Airborne KT-19 IST observations from IceBridge provide a means to validate the Suomi-NPP VIIRS IST product over a large area of Arctic sea ice in the spring and Antarctic sea ice in the fall. Validation studies between the KT-19 and the operational VIIRS IST product have yielded good agreement, with errors < 1K, as per specification. These studies have led to further tuning of the VIIRS IST algorithm maintained at CIMSS (UWisc), by adjusting the IST regression coefficients. The CIMSS IST has shown very favorable agreement with the IceBridge KT-19 observations. This validation and coefficient adjustment is ongoing. The 2015 IceBridge Arctic campaign is currently in progress. References: Justice, C.O., M. O. Román, I. Csiszar, E. F. Vermote, R. E. Wolfe, S. J. Hook, M. Friedl, Z. Wang, C. B. Schaaf, T. Miura, M. Tschudi, G. Riggs, D. K. Hall, A. I. Lyapustin, S. Devadiga, C. Davidson and E. J. Masuoka, 2013: Land and cryosphere products from Suomi NPP VIIRS: Overview and status. Journal of Geophysical Research: Atmospheres, Volume 118, Issue 17, Pages: 9753–9765, DOI: /jgrd Key, J.R., R. Mahoney, Y. Liu, P. Romanov, M. Tschudi, I. Appel, J. Maslanik, D. Baldwin, X. Wang and P. Meade, 2013: Snow and ice products from Suomi NPP VIIRS, Journal of Geophysical Research: Atmospheres. DOI: /2013JD Key, J., and M. Haefliger, 1992, Arctic ice surface temperature retrieval from AVHRR thermal channels, J. Geophys. Res., 97(D5), 5885–5893. Krabill, W.B., and E. Buzay, 2012, updated IceBridge KT19 IR Surface Temperature. Boulder, Colorado USA: NASA DAAC at the National Snow and Ice Data Center. Markus, T., J. C. Stroeve, and J. Miller Recent changes in Arctic sea ice melt onset, freezeup, and melt season length, J. Geophys. Res., 114, C12024, doi: /2009JC Perovich, D.K., K.F. Jones, B. Light, H. Eicken, T. Markus, J. Stroeve, R. Lindsay Solar partitioning in a changing Arctic sea-ice cover, Annals of Glaciology, 52(57), NOAA Satellite Conference April 28-May 1, 2015 Greenbelt, MD 3. VIIRS IST vs. IceBridge The map at the top left shows a flight track by the P-3 on March 15, The flight originated in Fairbanks, AK and proceeded to Barrow, then over the Chukchi and Beaufort Seas in the zig- zag pattern. While over the sea ice, the aircraft maintained a ~450m altitude with the KT-19 recording as it stared downward at the sea ice. The IST computed by the KT-19 is plotted (black) vs. the VIIRS operational IST (obtained via NOAA CLASS) at left. Observation “0” starts around 19Z, off the coast of Barrow, and the plot continues until ~23:30Z, when land is reached near Deadhorse, AK. Observations are only counted during clear skies, when VIIRS, which was passing over the flight track, can also see the surface. The VIIRS IST, in this case, is a bit warmer than the KT-19 IST for the early portion of the flight. Later, the KT-19 IST is slightly warmer. Overall, the mean KT-19 IST =-17.27°C and the VIIRS is cooler, at °C. The RMS difference is Top figure by NASA, Bottom figure by M. Tschudi 1. VIIRS IST Product The IceBridge aircraft campaign commenced in 2009 and is ongoing. IceBridge has utilized a P-3 aircraft (top, left) carrying several instruments to measure sea ice and ice sheet characteristics over the Arctic during the spring and the Antarctic in the fall. The aircraft deploys a Heitronics, Inc. KT-19 (top, right), which is a downward pointing IR pyrometer that measures infrared radiation wavelengths between 9.6 and 11.5 microns. By assuming an emissivity of 0.97, this measurement is directly converted to surface temperature with a resolution of 0.1° C. UPDATE: The 2015 Arctic campaign is underway, running through May 22 nd. This year the P-3 has been replaced by a NASA C-130 (top, center). To obtain IST measurements, the aircraft flies about 460m above the surface, resulting in a KT-19 spot size of 15m. This pyrometer records at 10Hz. These IST measurements are available online at [Krabill et. al., 2009]. Figures by NASA (left, center) and Heitronics, Inc. (right) 2. IceBridge IST VIIRS IST retrieval coefficients for the algorithm developed at CIMSS (UWisc) have been updated based on spectral response bands used operationally for VIIRS. The updated algorithm is being applied by the CIMSS team in near-real time. At left, top, we compare the CIMSS algorithm (VIIRS MOD) and KT-19 for all coincident, cloud-free observations over the Arctic for all of the IceBridge Spring 2014 flights. The CIMSS algorithm performs well here, with its mean IST only 0.09K greater than the IST from the KT-19. Note that the operational VIIRS IST has shown relatively poor performance when the IST was close to melting point (273 K), but the CIMSS algorithm is expected to perform better under those conditions due to a more sophisticated design. Validation for this condition will be available via the NASA late summer campaign, called ARISE. Comparisons for the KT-19 and the CIMSS algorithm over the Antarctic (left) are also being used to adjust the regression coefficients. Figures by R. Dworak, Y. Liu