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ESA DUE GLOBSNOW Investigating Hemispherical Trends in Snow Accumulation Using GlobSnow Snow Water Equivalent Data Kari Luojus  ( Finnish Meteorological Institute) J. Pulliainen, M. Takala, J. Lemmetyinen (FMI) C. Derksen, L. Wang (EC) S. Metsämäki (SYKE), B. Bojkov (ESA) GlobSnow project consortium: FMI, NR, ENVEO, GAMMA, SYKE, EC, Norut
ESA-funded GlobSnow project: Production of hemispherical scale snow extent (SE) and snow water equivalent (SWE) climate data records;  along with a demonstration of a near real time processing and data dissemination chain for the products. Consortium; Finnish Meteorological Institute (FMI) with ENVEO IT GmbH (Austria), GAMMA Remote Sensing (Switzerland), Norwegian Computing Center, Finnish Environment Institute (SYKE), and Environment Canada (EC). Products and project details:  www.globsnow.info Near-real-time snow map production on-going since: 1 October 2010 ESA GlobSnow
GlobSnow: Long term snow products ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
GlobSnow – SWE ECV ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
SWE product (development by FMI & EC) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Overview for the SWE product ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Daily SWE product: 15 February 2008 Northern Hemisphere
SWE algorithm selection & retrieval validation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Validation data – INTAS SSCONE data ,[object Object],[object Object],[object Object],[object Object],[object Object]
Overall performance for SWE algorithms Eurasia 09/1994 – 12/1997 Evaluation with 450 INTAS snow courses 29559 29451 65.9 mm 63.9 mm 0.052 0.121 -12.7 mm -3.1 mm 67.1 mm 63.9 mm SPD algorithm (asc node) SPD algorithm (desc node) 26726 27521 71.1 mm 70.8 mm 0.011 0.029 -8.4 mm 1.6 mm 71.6 mm 70.7 mm Chang et al. 1987 (asc node) Chang et al. 1987 (desc node) 21796 24791 57.3 mm 59.9 mm 0.044 0.029 -44.1 mm -42.9 mm 72.3 mm 73.7 mm Armstrong et al. 2001 (asc node) Armstrong et al. 2001 (desc node) 18109 61.5 mm 0.210 -28.2 mm 67.6 mm EC algorithm 26063 43.1 mm 0.611 -3.1 mm 43.2 mm FMI algorithm  - (selected for GlobSnow) Samples Unbiased RMSE Corr.coeff bias RMSE Name
Consistency of GlobSnow SWE retrieval  1980 - 2009 SWE<150 mm All SWE ,[object Object],[object Object],AMSR-E F 13 SSM/I F 11 SSM/I F 8 SSM/I SMMR AMSR-E F 13 SSM/I F 11 SSM/I F 8 SSM/I SMMR AMSR-E F 13 SSM/I F 11 SSM/I F 8 SSM/I SMMR AMSR-E F 13 SSM/I F 11 SSM/I F 8 SSM/I SMMR
AMSR-E vs. SSM/I evaluations (2003 - 2010) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],2009-2010 DMSP-F17 2003 – 2008 DMSP-F13 AMSR-E vs. SSM/I evaluations (2003 - 2010)
AMSR-E vs. SSM/I trend (1980 - 2010)
SSMI, -8,2% trend for 30 years AMSR-E, -9.6% trend for 30 years AMSR-E vs. SSM/I trend (1980 - 2010)
Summary on SWE product  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
GlobSnow Snow Extent Dataset 28.07.11 Finnish Meteorological Institute ,[object Object],[object Object],[object Object],[object Object],yellow – clouds green – bare ground white – snow cover
Daily, weekly and monthly products April 2003 19 April 2003 10 April 2003 Optical data ~ 1km spatial resolution
Examples of monthly products, 2003 April 2003 May 2003 June 2003
28.07.11 Finnish Meteorological Institute ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],GlobSnow - Summary
SWE algorithm evaluations: Eurasia 1994-1997 ,[object Object],[object Object]
SWE product & trend analyses Average SWE for March 1997 Mean snow mass for March (30 year trend)
SWE product & mountain hydrology ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

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aft_4_Luojus_GlobSnow_IGARSS_2011_final.ppt

  • 1. ESA DUE GLOBSNOW Investigating Hemispherical Trends in Snow Accumulation Using GlobSnow Snow Water Equivalent Data Kari Luojus ( Finnish Meteorological Institute) J. Pulliainen, M. Takala, J. Lemmetyinen (FMI) C. Derksen, L. Wang (EC) S. Metsämäki (SYKE), B. Bojkov (ESA) GlobSnow project consortium: FMI, NR, ENVEO, GAMMA, SYKE, EC, Norut
  • 2. ESA-funded GlobSnow project: Production of hemispherical scale snow extent (SE) and snow water equivalent (SWE) climate data records; along with a demonstration of a near real time processing and data dissemination chain for the products. Consortium; Finnish Meteorological Institute (FMI) with ENVEO IT GmbH (Austria), GAMMA Remote Sensing (Switzerland), Norwegian Computing Center, Finnish Environment Institute (SYKE), and Environment Canada (EC). Products and project details: www.globsnow.info Near-real-time snow map production on-going since: 1 October 2010 ESA GlobSnow
  • 3.
  • 4.
  • 5.
  • 6.
  • 7. Daily SWE product: 15 February 2008 Northern Hemisphere
  • 8.
  • 9.
  • 10. Overall performance for SWE algorithms Eurasia 09/1994 – 12/1997 Evaluation with 450 INTAS snow courses 29559 29451 65.9 mm 63.9 mm 0.052 0.121 -12.7 mm -3.1 mm 67.1 mm 63.9 mm SPD algorithm (asc node) SPD algorithm (desc node) 26726 27521 71.1 mm 70.8 mm 0.011 0.029 -8.4 mm 1.6 mm 71.6 mm 70.7 mm Chang et al. 1987 (asc node) Chang et al. 1987 (desc node) 21796 24791 57.3 mm 59.9 mm 0.044 0.029 -44.1 mm -42.9 mm 72.3 mm 73.7 mm Armstrong et al. 2001 (asc node) Armstrong et al. 2001 (desc node) 18109 61.5 mm 0.210 -28.2 mm 67.6 mm EC algorithm 26063 43.1 mm 0.611 -3.1 mm 43.2 mm FMI algorithm - (selected for GlobSnow) Samples Unbiased RMSE Corr.coeff bias RMSE Name
  • 11.
  • 12.
  • 13.
  • 14. AMSR-E vs. SSM/I trend (1980 - 2010)
  • 15. SSMI, -8,2% trend for 30 years AMSR-E, -9.6% trend for 30 years AMSR-E vs. SSM/I trend (1980 - 2010)
  • 16.
  • 17.
  • 18. Daily, weekly and monthly products April 2003 19 April 2003 10 April 2003 Optical data ~ 1km spatial resolution
  • 19. Examples of monthly products, 2003 April 2003 May 2003 June 2003
  • 20.
  • 21.
  • 22. SWE product & trend analyses Average SWE for March 1997 Mean snow mass for March (30 year trend)
  • 23.