A comparison of SSM/I-derived global marine surface-specific humidity datasets

International Journal of Climatology

Volumn 35, Issue 9, 2015, Pages 2359-2381

  Prytherch, John ^a   Kent, Elizabeth C ^a   Fangohr, Susanne ^b   Berry, David I ^a  

^a NATIONAL OCEANOGRAPHY CENTRE   (United Kingdom)

^b UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

Author keywords

Air sea interaction; Marine climatology; Satellite observations; Specific humidity; SSM I; Surface humidity

Indexed keywords

DATA HANDLING; LUMINANCE; MARINE APPLICATIONS; MICROWAVE SENSORS; SATELLITES; TEMPERATURE;

AIR SEA INTERACTIONS; SATELLITE OBSERVATIONS; SPECIFIC HUMIDITY; SSM/I; SURFACE HUMIDITY;

QUALITY CONTROL;

AIR-SEA INTERACTION; BRIGHTNESS TEMPERATURE; CLIMATOLOGY; DATA SET; HUMIDITY; MARINE ATMOSPHERE; SATELLITE SENSOR; SURFACE FLUX;

EID: 84937073538     PISSN: 08998418     EISSN: 10970088     Source Type: Journal    
DOI: 10.1002/joc.4150     Document Type: Article

References (69)

1. Andersson A, Fennig K, Klepp C, Bakan S, Grassl H, Schulz J. 2010. The Hamburg ocean atmosphere parameters and fluxes from satellite data - HOAPS-3. Earth Syst. Sci. Data 3: 143-194, doi: 10.5194/essdd-3-143-2010.
2. Andersson A, Klepp C, Fennig K, Bakan S, Grassl H, Schulz J. 2011. Evaluation of HOAPS-3 ocean surface freshwater flux components. J. Appl. Meteorol. Climatol. 50: 379-398, doi: 10.1175/2010JAMC2341.1.
3. Atlas R, Hoffman RN, Ardizzone J, Leidner SM, Jusem JC, Smith DK, Gombos D. 2011. A cross-calibrated multiplatform ocean surface wind velocity product for meteorological and oceanographic applications. Bull. Am. Meteorol. Soc. 92: 157, doi: 10.1175/2010BAMS2946.1.
4. Bentamy A, Queffeulou P, Quilfen Y, Katsaros K. 1999. Ocean surface wind fields estimated from satellite active and passive microwave instruments. IEEE Trans. Geosci. Remote Sens. 37: 2469-2486, doi: 10.1109/36.789643.
5. Bentamy A, Katsaros KB, Alberto M, Drennan WM, Forde EB, Roquet H. 2003. Satellite estimates of wind speed and latent heat flux over the global oceans. J. Clim. 16: 637-656, doi: 10.1175/1520-0442(2003)016<0637:SEOWSA>2.0.CO;2.
6. Bentamy A, Ayina L-H, Drennan WM, Katsaros KB, Mestas-Nunez AM, Pinker RT. 2008. 15 years of ocean surface momentum and heat fluxes from remotely sensed observations. Flux News 5: 14-16.
7. Bentamy A, Grodsky SA, Katsaros KB, Mestas-Nunez A, Blanke B, Desbiolles F. 2013. Improvements of air-sea fluxes derived from satellite observations. Int. J. Remote Sens. 34(14): 5243-5261, doi: 10.1080/01431161.2013.787502.
8. Berry DI, Kent EC. 2009. A new air-sea interaction gridded dataset from ICOADS with uncertainty estimates. Bull. Am. Meteorol. Soc. 90(5): 645-656, doi: 10.1175/2008BAMS2639.1.
9. Berry DI, Kent EC. 2011. Air-sea fluxes from ICOADS: the construction of a new gridded dataset with uncertainty estimates. Int. J. Climatol. 31(7): 987-1001, doi: 10.1002/joc.2059.
10. Berry DI, Kent EC, Taylor PK. 2004. An analytical model of heating errors in marine air temperatures from ships. J. Atmos. Oceanic Technol. 21(8): 1198-1215, doi:10.1175/2F1520-0426(2004)021%3C1198:AAMOHE%3E2.0.CO;2.
11. Bourassa MA, Gille ST, Jackson DL, Roberts JB, Wick GA. 2010. Ocean winds and turbulent air-sea fluxes inferred from remote sensing. Oceanography 23(4): 36-51, doi: 10.5670/oceanog.2010.04.
12. Bourras D. 2006. Comparison of five satellite-derived latent heat flux products to moored buoy data. J. Clim. 19: 6291-6313, doi: 10.1175/JCLI3977.1.
13. Brunke MA, Wang Z, Zeng X, Bosilovich M, Shie C-L. 2011. An assessment of the uncertainties in ocean surface turbulent fluxes in 11 reanalysis, satellite-derived, and combined global datasets. J. Clim. 24: 5469-5493, doi: 10.1175/2011JCLI4223.1.
14. Cavalieri DJ, Parkinson CL, Gloersen P, Zwally HJ. 1997. Arctic and Antarctic sea ice concentrations from multichannel passive-microwave satellite data sets: October 1978-September 1995 - user's guide. NASA Technical Memorandum 104647, NASA Goddard Space Flight Centre, Greenbelt, MA.
15. Cavalieri DJ, Parkinson CL, Gloersen P, Comiso JC, Zwally HJ. 1999. Deriving long-term time series of sea ice cover from satellite passive-microwave multisensory data sets. J. Geophys. Res. 104: 15803-15814, doi: 10.1029/1999JC900081.
16. Chou S, Atlas R, Shie C, Ardizzone J. 1995. Estimates of surface humidity and latent-heat fluxes over oceans from SSM/I data. Mon. Weather Rev. 123: 2405-2425, doi: 10.1175/1520-0493(1995)123<2405:EOSHAL>2.0.CO;2.
17. Chou S, Shie C, Atlas R, Ardizzone J. 1997. Air-sea fluxes retrieved from special sensor microwave imager data. J. Geophys. Res. Oceans 102: 12705-12726, doi: 10.1029/97JC00978.
18. Chou S-H, Nelkin E, Ardizzone J, Atlas RM, Shie C-L. 2003. Surface turbulent heat and momentum fluxes over global oceans based on the Goddard satellite retrievals, Version 2 (GSSTF2). J. Clim. 16: 3256-3273, doi: 10.1175/1520-0442(2003)016<3256:STHAMF>2.0.CO;2.
19. Curry J, Bentamy A, Bourassa M, Bourras D, Bradley E, Brunke M, Castro S, Chou S, Clayson C, Emery W. 2004. SeaFlux. Bull. Am. Meteorol. Soc. 85: 409-424, doi: 10.1175/BAMS-85-3-409.
20. Dai A. 2006. Recent climatology, variability and trends in global surface humidity. J. Clim. 19: 3589-3606, doi: 10.1175/JCLI3816.1.
21. Dee DP, Uppala SM, Simmons AJ, Berrisford P, Poli P, Kobayashi S, Andrae U, Balmaseda MA, Balsamo G, Bauer P, Bechtold P, Beljaars ACM, van de Berg L, Bidlot J, Bormann N, Delsol C, Dragani R, Fuentes M, Geer AJ, Haimberger L, Healy SB, Hersbach H, Hólm EV, Isaksen L, Kållberg P, Köhler M, Matricardi M, McNally AP, Monge-Sanz BM, Morcrette J-J, Park B-K, Peubey C, de Rosnay P, Tavolato C, Thépaut J-N, Vitart F. 2011. The ERA-Interim reanalysis: configuration and performance of the data assimilation system. Q. J. R. Meteorol. Soc. 137: 553-597, doi: 10.1002/qj.828.
22. Fennig K, Andersson A, Bakan S, Klepp C, Schroeder M. 2012. Hamburg ocean atmosphere parameters and fluxes from satellite data - HOAPS 3.2 - monthly means/6-hourly composites. Satell. Appl. Fac. Clim. Monitor., doi: 10.5676/EUM_SAF_CM/HOAPS/V001.
23. Fennig K, Andersson A, Bakan S, Schroeder M. 2013. Fundamental climate data record of SSM/I brightness temperatures. Satell. Appl. Fac. Clim. Monitor., doi: 10.5676/EUM_SAF_CM/FCDR_SSMI/V001.
24. GCOS. 2010. Implementation plan for the global observing system for climate in support of the UNFCCC. GCOS-138, WMO, Geneva, 180 pp. http://www.wmo.int/pages/prog/gcos/Publications/gcos-138.pdf (accessed 9 September 2014).
25. GLOBE Task Team and Others, Hastings DA, Dunbar PK, Elphingstone GM, Bootz M, Murakami H, Maruyama H, Masaharu H, Holland P, Payne J, Bryant NA, Logan TL, Muller JP, Schreier G, MacDonald JS (eds). 1999. The Global Land One-kilometer Base Elevation (GLOBE) Digital Elevation Model, Version 1.0. National Oceanic and Atmospheric Administration, National Geophysical Data Center, Boulder, CO. Digital Database on http://www.ngdc.noaa.gov/mgg/topo/globe.html and CD-ROMs (accessed 9 September 2014).
26. Hilburn KA, Shie C-L. 2011. Decadal trends and variability in special sensor microwave/imager (SSM/I) brightness temperatures and Earth incidence angle. Report Number 092811, Remote Sensing Systems, Santa Rosa, CA, 53 pp. http://www.remss.com/papers/tech_reports/hilburn_SSMI_EIA_TB_RSS_Tech_Rpt_092811.pdf (accessed 9 September 2014).
27. Iwasaki S, Kubota M, Tomita H. 2010. Evaluation of bulk method for satellite-derived latent heat flux. J. Geophys. Res. 115: C07007, doi: 10.1029/2010JC006175.
28. Jackson DL, Wick GA, Bates JJ. 2006. Near-surface retrieval of air temperature and specific humidity using multisensor microwave satellite observations. J. Geophys. Res. 111: D10306, doi: 10.1029/2005JD006431.
29. Jackson DL, Wick GA, Robertson FR. 2009. Improved multisensor approach to satellite-retrieved near-surface specific humidity observations. J. Geophys. Res. Atmos. 114: D16303, doi: 10.1029/2008JD011341.
30. Jones C, Peterson P, Gautier C. 1999. A new method for deriving ocean surface specific humidity and air temperature: an artificial neural network approach. J. Appl. Meteorol. 38: 1229-1245, doi: 10.1175/1520-0450(1999)038<1229:ANMFDO>2.0.CO;2.
31. Kent EC, Berry DI. 2005. Quantifying random measurement errors in voluntary observing ship meteorological observations. Int. J. Climatol. 25(7): 843-856, doi: 10.1002/joc.1167.
32. Kent EC, Taylor PK. 1996. Accuracy of humidity measurements on ships: consideration of solar radiation effects. J. Atmos. Oceanic Technol. 13(6): 1317-1321, doi: 10.1175/1520-0426(1996)013<1317:AOHMOS>2.0.CO;2.
33. Kent EC, Woodruff SD, Berry DI. 2007. WMO Publication No. 47 metadata and an assessment of voluntary observing ships observation heights in ICOADS. J. Atmos. Oceanic Technol. 24(2): 214-234, doi: 10.1175/JTECH1949.1.
34. Kent EC, Berry DI, Prytherch J, Roberts JB. 2014. A comparison of global marine surface specific humidity datasets from in situ observations and atmospheric reanalyses. Int. J. Climatol. 34: 355-376, doi: 10.1002/joc.3691.
35. Kubota M, Iwasaka N, Kizu S, Konda M, Kutsuwada K. 2002. Japanese ocean flux datasets with use of remote sensing observations (J-OFURO). J. Oceanogr. 58: 213-225, doi: 10.1023/A:1015845321836.
36. Kunkee DB, Poe GA, Boucher DJ, Swadley SD, Hong Y, Wessel JE, Uliana EA. 2008. Design and evaluation of the first special sensor microwave imager/sounder. IEEE Trans. Geosci. Remote Sens. 46(4): 863-883, doi: 10.1109/TGRS.2008.917980.
37. Liu C, Zipser EJ. 2013. Why does radar reflectivity tend to increase downward toward the ocean surface, but decrease downward toward the land surface? J. Geophys. Res. 118: 1-14, doi: 10.1029/2012D018134.
38. Meissner T, Wentz F. 2012. The emissivity of the ocean surface between 6-90 GHz over a large range of wind speeds and Earth incidence angles. IEEE Trans. Geosci. Remote Sens. 50(8): 3004-3026, doi: 10.1109/TGRS.2011.2179662.
39. Meng L, He Y, Chen J, Wu Y. 2007. Neural network retrieval of ocean surface parameters from SSM/I data. Mon. Weather Rev. 135: 586-597, doi: 10.1175/MWR3292.1.
40. NGDC. 1986. National Geophysical Data Center/NESDIS/NOAA/U.S. Department of Commerce: ETOPO5 Global Earth Topography, 5-minute.
41. Onogi K, Tsutsui J, Koide H, Sakamoto M, Kobayashi S, Hatsushika H, Matsumoto T, Yamazaki N, Kamahori H, Takahashi K, Kadokura S, Wada K, Kato K, Oyama R, Ose T, Mannoji N, Taira R. 2007. The JRA-25 reanalysis. J. Meteorol. Soc. Jpn. 85: 369-432, doi: 10.2151/jmsj.85.369.
42. Pierce D. 2011. ncdf: interface to Unidata netCDF data files. R Package Version 1.6.6. http://CRAN.R-project.org/package=ncdf (accessed 9 September 2014).
43. R Core Team. 2012. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing: Vienna. ISBN: 3-900051-07-0. http://www.R-project.org/ (accessed 9 September 2014).
44. Reynolds R, Rayner N, Smith T, Stokes D, Wang W. 2002. An improved in situ and satellite SST analysis for climate. J. Clim. 15: 1609-1625, doi: 10.1175/1520-0442(2002)015<1609:AIISAS>2.0.CO;2.
45. Ritchie AA, Smith MR, Goodman HM, Schudalla RL, Conway DK, LaFontaine FJ, Moss D, Motta B. 1998. Critical analyses of data differences between FNMOC and AFGWC spawned SSM/I datasets. J. Atmos. Sci. 55: 1601-1612, doi: 10.1175/1520-0469(1998)055<1601:CAODDB>2.0.CO;2.
46. Roberts JB, Clayson CA, Robertson FR, Jackson DL. 2010. Predicting near-surface atmospheric variables from special sensor microwave/imager using neural networks with a first-guess approach. J. Geophys. Res. Atmos. 115: D19113, doi: 10.1029/2009JD013099.
47. Santorelli A, Pinker RT, Bentamy A, Katsaros KB, Drennan WM, Mestas-Nuñez AM, Carton JA. 2011. Differences between two estimates of air-sea turbulent heat fluxes over the Atlantic Ocean. J. Geophys. Res. 116: C09028, doi: 10.1029/2010JC006927.
48. Schlüssel P, Schanz L, Englisch G. 1995. Retrieval of latent heat flux and longwave irradiance at the sea surface from SSM/I and AVHRR measurements. Adv. Space Res. 16(10): 107-116, doi: 10.1016/0273-1177(95)00389-V.
49. Schulz J, Schlüssel P, Grassl H. 1993. Water vapor in the atmospheric boundary layer over oceans from SSM/I measurements. Int. J. Remote Sens. 14: 2773-2789, doi: 10.1080/01431169308904308.
50. Semunegus H. 2011. Remote Sensing Systems Version - 6 Special Sensor Microwave/Imager Fundamental Climate Data Record, Climate Algorithm Theoretical Basis Document, CDRP-ATBD-0100, Revision 1.0, 26 July 2011, NOAA. http://www1.ncdc.noaa.gov/pub/data/sds/cdr/docs/rss-v6.0-ssmi-fcdr-source.tar (accessed 9 September 2014).
51. Shie C-L. 2010. Science background for the reprocessing and Goddard satellite-based surface turbulent fluxes (GSSTF2b) data set for global water and energy cycle research. In NASA GES DISC, 12 October 2010, NASA Goddard Space Flight Center, Greenbelt, MD, 18 pp. http://disc.sci.gsfc.nasa.gov/measures/documentation/Science-of-the-data.pdf (accessed 9 September 2014).
52. Shie C-L. 2011. Science background for the reprocessing and Goddard satellite-based surface turbulent fluxes (GSSTF2c) data set for global water and energy cycle research. Science Document for the Distributed GSSTF2c via Goddard Earth Sciences (GES) Data and Information Services Center (DISC), 19 pp. http://disc.sci.gsfc.nasa.gov/measures/documentation/Science:of_the_data.GSSTF2c.pdf (accessed 9 September 2014).
53. Shie C-L. 2012. Science background for the reprocessing and Goddard satellite-based surface turbulent fluxes (GSSTF3) data set for global water and energy cycle research. Science Document for the Distributed GSSTF3 via Goddard Earth Sciences (GES) Data and Information Services Center (DISC), 21 pp. http://disc.sci.gsfc.nasa.gov/measures/documentation/Science:of_the_data.GSSTF3.pdf (accessed 9 September 2014).
54. Shie C-L, Hilburn K. 2011. A satellite-based global ocean surface turbulent fluxes dataset and the impact of the associated SSM/I brightness temperature. In Proceedings of the 2011 EUMESAT Meteorological Satellite Conference, Oslo, 5-9 September, 8 pp. ftp://meso-a.gsfc.nasa.gov/pub/shieftp/fluxdocu/gsstf2c/Shie&Hilburn-2011.pdf (accessed 9 September 2014).
55. o) daily air-sea surface fluxes from July 1987 to December 2008, distributed via Goddard Earth Sciences (GES) Data and Information Services Center (DISC) in October 2010. ftp://meso-a.gsfc.nasa.gov/pub/shieftp/fluxdata (accessed 9 September 2014).
56. Shie C-L, Chiu LS, Adler R, Gao S, Chokngamwong R, Lin I-I, Nelkin E, Ardizzone J, Xie P, Wang F-C. 2010b. A recently revived and produced global air-sea surface turbulent fluxes dataset - GSSTF2b: validations and findings. In Proceedings of the Joint 2010 CWB Weather Analysis and Forecasting & COAA 5th International Ocean-Atmosphere Conference, Taipei, 28-30 June, 307-312. http://disc.sci.gsfc.nasa.gov/measures/documentation/Shie-et-al-COAA2010.pdf (accessed 9 September 2014).
57. o) daily air-sea surface fluxes from July 1987 to December 2008] distributed via Goddard Earth Sciences (GES) Data and Information Services Center (DISC) in October 2011. GSSTF2c in HDF-EOS5 format. http://disc.sci.gsfc.nasa.gov/daac-bin/DataHoldingsMEASURES.pl?PROGRAM_List=ChungLinShie_OldVer or ftp://measures.gsfc.nasa.gov/data/s4pa/GSSTF/ (accessed 9 September 2014).
58. Shie C-L, Hilburn K, Chiu LS, Adler R, Lin I-I, Nelkin E, Ardizzone J, Gao S. 2012. Goddard Satellite-Based Surface Turbulent Fluxes, Daily Grid, Version 3, Savtchenko A (ed). Greenbelt, MD: Goddard Earth Science Data and Information Services Center (GES DISC), doi: 10.5067/MEASURES/GSSTF/DATA301 (accessed 28 September 2012).
59. Singh R, Kishtawal C, Pal P, Joshi P. 2006. Surface heat fluxes over global oceans exclusively from satellite observations. Mon. Weather Rev. 134: 965-980, doi: 10.1175/MWR3119.1.
60. Smith SR, Hughes PJ, Bourassa MA. 2011. A comparison of nine monthly air-sea flux products. Int. J. Climatol. 31(7): 1002-1027, doi: 10.1002/joc.2225.
61. Swift CT, Fedor LS, Ramseier RO. 1985. An algorithm to measure sea ice concentration with microwave radiometers. J. Geophys. Res. Oceans 90: 1087-1099.
62. Tomita H, Kubota M. 2006. An analysis of the accuracy of Japanese ocean flux data sets with use of remote sensing observations (J-OFURO) satellite-derived latent heat flux using moored buoy data. J. Geophys. Res. 111: C07007, doi: 10.1029/2005JC003013.
63. Tomita H, Kubota M, Cronin MF, Iwasaki S, Konda M, Ichikawa H. 2010. An assessment of surface heat fluxes from J-OFURO2 at the KEO and JKEO sites. J. Geophys. Res. 115: C03018, doi: 10.1029/2009JC005545.
64. Weller RA, Bradley EF, Edson JB, Fairall CW, Brooks I, Yelland MJ, Pascal RW. 2008. Sensors for physical fluxes at the sea surface: energy, heat, water, salt. Ocean Sci. 4(4): 247-263, doi: 10.5194/os-4-247-2008.
65. Wentz FJ. 1991. Revision-1 User's Manual SSM/I Antenna Temperature Tapes. Remote Sensing Systems: Santa Rosa, CA, 70 pp.
66. Wentz FJ. 2010. The version-6 calibration of SSM/I. Technical report 102210, Remote Sensing Systems, Santa Rosa, CA, 35 pp. http://images.remss.com/papers/tech_reports/Wentz_SSMI_Version6_Calibration.pdf (accessed 9 September 2014).
67. Wentz FJ. 2013. SSM/I version-7 calibration report. Technical Report 011012, Remote Sensing Systems, Santa Rosa, CA, 44 pp. http://images.remss.com/papers/rsstech/2012_011012_Wentz_Version-7_SSMI_Calibration.pdf (accessed 9 September 2014).
68. Woodruff SD, Diaz HF, Elms JD, Worley SJ. 1998. COADS Release 2 data and metadata enhancements for improvements of marine surface flux fields. Phys. Chem. Earth 23: 517-526, doi: 10.1016/S0079-1946(98)00064-0.
69. Woodruff SD, Worley SJ, Lubker SJ, Ji Z, Freeman JE, Berry DI, Brohan P, Kent EC, Reynolds RW, Smith SR, Wilkinson C. 2011. ICOADS release 2.5 and data characteristics. Int. J. Climatol. 31(7): 951-967, doi: 10.1002/joc.2103.