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Exploring climate model data

Ecological modeling for the Netherlands

Use of climate model data in the ecological modeling for the Netherlands

The Nature planner consists of several model modules, which can benefit from climate model data, especially the SMART2 and SUMO2 models. SMART2 simulates soil dynamics. SUMO2 is a dynamic model that simulates vegetation succession in relation to the nitrogen and carbon cycle. Nature planner acts as an interface: providing model data to the Nature planner enables the use of data in all models of the Nature planner. The Nature planner is used to model the ecological main infrastructure of the Netherlands (e.g., vegetation dispersion) taking into account vegetation dynamics, land use change, nitrogen deposition, climate change, etc. At the moment historical station data on climate is used. Modeled data on climate (temperature, precipitation) could improve performance by providing better information on extremes (occurrence wet and dry years).

Data needs

  • All data on one layer (2 meter, ground level)
  • Parameters: Humidity, temperature (yearly average), precipitation (yearly total average)
  • Resolution: Global Climate Model resolution, cutout for the Netherlands, 100x100km. In additional cases data is needed on European scale.
  • Ensemble of model runs, based on (IPCC) scenarios
  • Projection: EPSG 28992 (Rijksdriehoeks stelsel)
  • Period: 1980 – 2100 (from 1980 vegetation is known)
  • Data format: ASCII Grid
  • Data delivery: OGC services

How to obtain the data

The three parameters are needed can be obtained in three seperate selections. Note the right side of the advance search page shows information on the search fields when you point your mouse on a search item. In this way you can get more information on e.g. models, experiments, variables.

Humidity (daily, reprojected, ASCII Grid)

  • Go to 'Search' (main menu)
  • Select 'hus' for relative humidity
  • Select the time frame using the time selection boxes
  • Select a model or experiment of interest
  • Select all files and add them to basket
  • If you are not logged in, go to 'account' and login using your OpenID (registered at PCMDI)
  • Go to basket
  • In the basket, select a file, click on 'view'. This will lauch the ADAGUC viewer and can take a while
  • In the viewer select the parameter 'hum' (left upper side of the viewer). This will display a global map with the parameter
  • Select the magnifying glass (top of viewer) to zoom in to the Netherlands
  • Select 'menu' (top of viewer) to select 'Retrieve data using WCS'. This will launch a window
  • In this window:
    • Adjust the 'Format settings' to AAIGRID
    • Adjust the 'Projection settings' to EPSG 28992 (which is rijksdriehoeksstelsel)
    • Adjust the 'Bounding Box' settings by clicking the 'Get current map view bounding box'
    • Now download the data by clicking on the 'get coverage' button (right corner)
  • Repeat this procedure for each file in the basket

Temperature (yearly average)

For averaging the temperature data needs to be selected and processed to calculate the yearly average. The processing functionality is not implemented yet in this version of the portal, but will be available in the next release (planned: July 2012).

Precipitation (yearly total average)

For averaging the temperature data needs to be selected and processed to calculate the yearly average. The processingfunctionality is not implemented yet in this version of the portal, but will be available in the next release (planned: July 2012).

Requested Flexibility

The Ecologist needs averaging functionality on the portal to obtain yearly averages, reprojection from Gaussian reduced grid to EPSG 28992 (Rijksdriehoeks stelsel), resolution downscaling to 100x100 km, geographical selection using a bounding box.

Sources of uncertainty

The original Gaussian Reduced Grid is transformed to a Regular (lat lon) grid. This transformation may introduce interpolation errors, especially at land-sea transitions. There are no regular grids matching exactly the Gaussian Reduced Grid, i.e. interpolation is unavoidable. This should be well documented and provided to the user of the data. WUR is aware of this and knows how to deal with it. WUR is aware of the uncertainties in the model data. Therefore WUR will use several different models/ensemble members. Bias corrections are made by WUR by comparing Nature planner model results using historical station based data with Nature planner model runs using climate model data. Read more on uncertainties

 

 

The IS-ENES project has received funding from the European Union's Seventh Framework Programme for research, technological development and demonstration.

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