Example Model Simulation for Lake Erken from the EU Water JPI project PROGNOS
Authors: | |
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Owners: | Don Pierson |
Type: | Resource |
Storage: | The size of this resource is 233.7 MB |
Created: | Aug 19, 2019 at 1:49 p.m. |
Last updated: | Aug 29, 2019 at 6:38 p.m. (Metadata update) |
Published date: | Aug 29, 2019 at 6:38 p.m. |
DOI: | 10.4211/hs.eace2a19e3134ba8a442d75a344d4885 |
Citation: | See how to cite this resource |
Content types: | Multidimensional Content |
Sharing Status: | Published |
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Views: | 2263 |
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Abstract
The European Union Water JPI (http://www.waterjpi.eu/) has funded the project PROGNOS (Predicting In-Lake Responses to Change Using Near Real Time Models http://prognoswater.org/) PROGNOS developed an integrated approach that couples high frequency (HF) lake monitoring data to dynamic lake water quality models to forecast short-term changes in lake water quality. Here we provide an archive that demonstrates model simulations that were run on Lake Erken as part of the PROGNOS project. Simulations were run using the GOTM (https://gotm.net/)and SELMA models that are coupled by the frame work for biogeochemical models (https://github.com/fabm-model) The lake model was calibrated using the program acpy (https://bolding-bruggeman.com/portfolio/acpy/) The measured data used for calibration in the format used by acpy are also included in this archive
All data were collected from Lake Erken the site of the Uppsala University Limnology field station (http://www.ieg.uu.se/erken-laboratory/) The simulation period is between 2004-2018, and we used a 5 year (1999-2003) model spin-up period prior to simulation and calibration. Model forcing data are obtained from meteorological stations at the Erken laboratory, and from Erken's routine monitoring program. To calibrate the model data sets of HF water temperature, chlorophyll fluorescence and dissolved oxygen are combined with laboratory measurement from the routine monitoring program. Calibration data for nutrients are only available from the Erken laboratories routine monitoring program All data files are formated as required by the lake models. Files that define the model parameterization (xml and yaml) are also included
Subject Keywords
Coverage
Spatial
Temporal
Start Date: | 01/01/2004 |
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End Date: | 12/31/2018 |














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Related Resources
The content of this resource is derived from | Moras, S. (2019). Simulation of Lake Erken water temperature (1961-2017) with GOTM: Model configuration, input data, output data and observed water temperature, HydroShare, https://doi.org/10.4211/hs.7e5ec8c0e2b245199ab13cc9ae08b841 |
Credits
Funding Agencies
This resource was created using funding from the following sources:
Agency Name | Award Title | Award Number |
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European Union ERA-NET WaterWorks2014 Cofunded Call | PROGNOS | |
FORMAS | Predicting in-lake responses to change using near real time models (PROGNOS) | 2016-00006 |
Swedish Infrastructure for Ecosystem Science (SITES) |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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