Dataset Identification:
Resource Abstract:
- description: Climate change has been shown to influence lake temperatures globally. To better understand the diversity of
lake responses to climate change and give managers tools to manage individual lakes, we modelled daily water temperature profiles
for 10,774 lakes in Michigan, Minnesota and Wisconsin for contemporary (1979-2015) and future (2020-2040 and 2080-2100) time
periods with climate models based on the Representative Concentration Pathway 8.5, the worst-case emission scenario. From
simulated temperatures, we derived commonly used, ecologically relevant annual metrics of thermal conditions for each lake.
We included all available supporting metadata including satellite and in-situ observations of water clarity, maximum observed
lake depth, land-cover based estimates of surrounding canopy height and observed water temperature profiles (used here for
validation). This unique dataset offers landscape-level insight into the future impact of climate change on lakes. This data
set contains the following parameters: time, wtr_{z}, which are defined below.; abstract: Climate change has been shown to
influence lake temperatures globally. To better understand the diversity of lake responses to climate change and give managers
tools to manage individual lakes, we modelled daily water temperature profiles for 10,774 lakes in Michigan, Minnesota and
Wisconsin for contemporary (1979-2015) and future (2020-2040 and 2080-2100) time periods with climate models based on the
Representative Concentration Pathway 8.5, the worst-case emission scenario. From simulated temperatures, we derived commonly
used, ecologically relevant annual metrics of thermal conditions for each lake. We included all available supporting metadata
including satellite and in-situ observations of water clarity, maximum observed lake depth, land-cover based estimates of
surrounding canopy height and observed water temperature profiles (used here for validation). This unique dataset offers landscape-level
insight into the future impact of climate change on lakes. This data set contains the following parameters: time, wtr_{z},
which are defined below.
Citation
- Title Temperature data: A large-scale database of modeled contemporary and future water temperature data for 10,774 Michigan, Minnesota
and Wisconsin Lakes.
-
- creation Date
2018-05-20T18:20:09.810257
Resource language:
Processing environment:
Back to top:
Digital Transfer Options
-
- Linkage for online resource
-
- name Dublin Core references URL
- URL: http://dx.doi.org/10.5066/F7DV1H10
- protocol WWW:LINK-1.0-http--link
- link function information
- Description URL provided in Dublin Core references element.
Linkage for online resource
- name Dublin Core references URL
- URL: http://dx.doi.org/10.5066/F7DV1H10
- protocol WWW:LINK-1.0-http--link
- link function information
- Description URL provided in Dublin Core references element.
Linkage for online resource
- name Dublin Core references URL
- URL: http://aed.see.uwa.edu.au/research/models/GLM/index.html
- protocol WWW:LINK-1.0-http--link
- link function information
- Description URL provided in Dublin Core references element.
Linkage for online resource
- name Dublin Core references URL
- URL: http://dx.doi.org/10.1175/JCLI-D-14-00467.1
- protocol WWW:LINK-1.0-http--link
- link function information
- Description URL provided in Dublin Core references element.
Linkage for online resource
- name Dublin Core references URL
- URL: http://dx.doi.org/10.1029/2003JD003823
- protocol WWW:LINK-1.0-http--link
- link function information
- Description URL provided in Dublin Core references element.
Metadata data stamp:
2018-08-06T19:48:43Z
Resource Maintenance Information
- maintenance or update frequency:
- notes: This metadata record was generated by an xslt transformation from a dc metadata record; Transform by Stephen M. Richard, based
on a transform by Damian Ulbricht. Run on 2018-08-06T19:48:43Z
Metadata contact
-
pointOfContact
- organisation Name
CINERGI Metadata catalog
-
- Contact information
-
-
- Address
-
- electronic Mail Address cinergi@sdsc.edu
Metadata language
eng
Metadata character set encoding:
utf8
Metadata standard for this record:
ISO 19139 Geographic Information - Metadata - Implementation Specification
standard version:
2007
Metadata record identifier:
urn:dciso:metadataabout:7fe6ab2d-2262-4c0b-ab47-09b471a8c058
Metadata record format is ISO19139 XML (MD_Metadata)