Lake Erken High Frequency Monitoring data used for EU Water JPI project PROGNOS
| Authors: | |
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| Owners: | Don Pierson |
| Type: | Resource |
| Storage: | The size of this resource is 35.5 MB |
| Created: | Aug 12, 2019 at 9:38 a.m. |
| Last updated: | Aug 27, 2019 at 7:14 p.m. (Metadata update) |
| Published date: | Aug 27, 2019 at 7:14 p.m. |
| DOI: | 10.4211/hs.2dead0d54fe74ee7943e89ae4159aab1 |
| Citation: | See how to cite this resource |
| Sharing Status: | Published |
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| Views: | 2120 |
| Downloads: | 74 |
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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 the the HF monitoring data sets that were used by PROGNOS project Partner Uppsala Universtiy to calibrate and verify the performance of the GOTM (https://gotm.net/)and SELMA models that are coupled by the frame work for aquatic biogeochemical models (https://github.com/fabm-model) All data were collected from Lake Erken the site of the Uppsala University Limnology field station (http://www.ieg.uu.se/erken-laboratory/) HF data is from 2015, 2016, 2017, and 2018, years when there was good coverage of the three main categories of data that are needed for water quality modeling: 1) meteorological data; 2) water temperature data; and 3)lake biogeochemical data. These data are in the format routinely collected,and can contain additional measurements that are not actually used in the model simulations.
Subject Keywords
Coverage
Spatial
Temporal
| Start Date: | 01/01/2015 |
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| End Date: | 12/31/2018 |
Content
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
|---|---|---|
| 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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