Designing IA for AI - Information Architecture Conference 2024
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
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