Journal cover Journal topic
Earth System Science Data The data publishing journal
Journal topic

Journal metrics

Journal metrics

  • IF value: 10.951 IF 10.951
  • IF 5-year value: 9.899 IF 5-year
    9.899
  • CiteScore value: 9.74 CiteScore
    9.74
  • SNIP value: 3.111 SNIP 3.111
  • IPP value: 8.99 IPP 8.99
  • SJR value: 5.229 SJR 5.229
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 38 Scimago H
    index 38
  • h5-index value: 33 h5-index 33
Volume 8, issue 1
Earth Syst. Sci. Data, 8, 165–176, 2016
https://doi.org/10.5194/essd-8-165-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Earth Syst. Sci. Data, 8, 165–176, 2016
https://doi.org/10.5194/essd-8-165-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Brief communication 28 Apr 2016

Brief communication | 28 Apr 2016

A long-term record of blended satellite and in situ sea-surface temperature for climate monitoring, modeling and environmental studies

Viva Banzon et al.
Related authors  
The International Satellite Cloud Climatology Project H-Series climate data record product
Alisa H. Young, Kenneth R. Knapp, Anand Inamdar, William Hankins, and William B. Rossow
Earth Syst. Sci. Data, 10, 583–593, https://doi.org/10.5194/essd-10-583-2018,https://doi.org/10.5194/essd-10-583-2018, 2018
Short summary
Related subject area  
Data, Algorithms, and Models
The BernClim plant phenological data set from the canton of Bern (Switzerland) 1970–2018
This Rutishauser, François Jeanneret, Robert Brügger, Yuri Brugnara, Christian Röthlisberger, August Bernasconi, Peter Bangerter, Céline Portenier, Leonie Villiger, Daria Lehmann, Lukas Meyer, Bruno Messerli, and Stefan Brönnimann
Earth Syst. Sci. Data, 11, 1645–1654, https://doi.org/10.5194/essd-11-1645-2019,https://doi.org/10.5194/essd-11-1645-2019, 2019
Short summary
High-temporal-resolution water level and storage change data sets for lakes on the Tibetan Plateau during 2000–2017 using multiple altimetric missions and Landsat-derived lake shoreline positions
Xingdong Li, Di Long, Qi Huang, Pengfei Han, Fanyu Zhao, and Yoshihide Wada
Earth Syst. Sci. Data, 11, 1603–1627, https://doi.org/10.5194/essd-11-1603-2019,https://doi.org/10.5194/essd-11-1603-2019, 2019
Short summary
Djankuat glacier station in the North Caucasus, Russia: a database of glaciological, hydrological, and meteorological observations and stable isotope sampling results during 2007–2017
Ekaterina P. Rets, Viktor V. Popovnin, Pavel A. Toropov, Andrew M. Smirnov, Igor V. Tokarev, Julia N. Chizhova, Nadine A. Budantseva, Yurij K. Vasil'chuk, Maria B. Kireeva, Alexey A. Ekaykin, Arina N. Veres, Alexander A. Aleynikov, Natalia L. Frolova, Anatoly S. Tsyplenkov, Aleksei A. Poliukhov, Sergey R. Chalov, Maria A. Aleshina, and Ekaterina D. Kornilova
Earth Syst. Sci. Data, 11, 1463–1481, https://doi.org/10.5194/essd-11-1463-2019,https://doi.org/10.5194/essd-11-1463-2019, 2019
Short summary
The spatial allocation of population: a review of large-scale gridded population data products and their fitness for use
Stefan Leyk, Andrea E. Gaughan, Susana B. Adamo, Alex de Sherbinin, Deborah Balk, Sergio Freire, Amy Rose, Forrest R. Stevens, Brian Blankespoor, Charlie Frye, Joshua Comenetz, Alessandro Sorichetta, Kytt MacManus, Linda Pistolesi, Marc Levy, Andrew J. Tatem, and Martino Pesaresi
Earth Syst. Sci. Data, 11, 1385–1409, https://doi.org/10.5194/essd-11-1385-2019,https://doi.org/10.5194/essd-11-1385-2019, 2019
Short summary
The Environment and Climate Change Canada solid precipitation intercomparison data from Bratt's Lake and Caribou Creek, Saskatchewan
Craig D. Smith, Daqing Yang, Amber Ross, and Alan Barr
Earth Syst. Sci. Data, 11, 1337–1347, https://doi.org/10.5194/essd-11-1337-2019,https://doi.org/10.5194/essd-11-1337-2019, 2019
Short summary
Cited articles  
Banzon, V. F., Reynolds, R. W., Stokes, D., and Xue, Y.: A 1/4° spatial resolution daily sea surface temperature climatology based on a blended satellite and in situ analysis, J. Climate, 27, 8221–8228, https://doi.org/10.1175/JCLI-D-14-00293.1, 2014.
Bates, J. J. and Privette, J. L.: A maturity model for assessing the completeness of climate data records, EOS Trans. AGU, 44, 441, https://doi.org/10.1029/2012EO440006, 2012.
Bogdanoff, A. S., Westphal, D. L., Campbell, J. R., Cummings, J. A., Hyer, E. J., Reid, J. S., and Clayson, C. A.: Sensitivity of infrared sea surface temperature retrievals to the vertical distribution of airborne dust aerosol, Remote Sens. Environ., 159, 1–13, https://doi.org/10.1016/j.rse.2014.12.002, 2015.
Bojinski, S., Verstraete, M., Peterson, T. C., Richter, C., Simmons, A., and Zemp, M.: The Concept of essential climate variables in support of climate research, applications, and policy, B. Am. Meteorol. Soc., 95, 1431–1443, https://doi.org/10.1175/BAMS-D-13-00047.1, 2014.
Casey, K. S., Brandon, T. B., Cornillon, P., and Evans, R.: The Past, Present and Future of the AVHRR Pathfinder SST Program, in: Oceanography from Space: Revisited, edited by: Barale, V., Gower, J. F. R., and Alberotanza, L., Springer, https://doi.org/10.1007/978-90-481-8681-5_16, 2010.
Download
Short summary
A sea surface temperature product that is constructed by blending in situ and satellite data with gaps filled using using optimum interpolation is described. Product format and characteristics (e.g., over 30-year time span; 0.25° (~ 25 km) daily resolution) that make it suitable for climate modeling, monitoring and other long-term studies at regional and local scales are described. The history of the product and earlier versions, a common source of confusion, are also discussed.
A sea surface temperature product that is constructed by blending in situ and satellite data...
Citation