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Data set for hydrodynamic lake model calibration: A deep prealpine case
Author(s) -
Pilotti Marco,
Valerio Giulia,
Leoni Barbara
Publication year - 2013
Publication title -
water resources research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.863
H-Index - 217
eISSN - 1944-7973
pISSN - 0043-1397
DOI - 10.1002/wrcr.20506
Subject(s) - shore , calibration , data set , series (stratigraphy) , environmental science , water column , deep water , hydrology (agriculture) , term (time) , meteorology , geology , oceanography , geography , computer science , statistics , artificial intelligence , paleontology , physics , mathematics , geotechnical engineering , quantum mechanics
Hydrodynamic modeling of lakes requires an extensive amount of data that must often be measured far from the shore and throughout the water column. Accordingly, long‐term comprehensive data sets for lakes are relatively rare. Lake Iseo is a deep prealpine lake, which we have monitored since 1995 on a monthly basis, collecting high‐resolution data since 2011. These measurements were complemented with additional time series from surrounding meteorological stations and a comprehensive data set has been gathered for the period 1995–2012. This can be used, among other things, to test the capabilities of models to investigate the dynamics of a deep lake.