FLake

The new global LAKE dataset for the parameterisation of lakes in Numerical Weather Prediction and climate modelling is made available here. It contains global gridded data for lake depth, the mean values or the bathymetry, with the resolution of 30 sec. of arc and the additional dataset about the reliability of the depth data.

For more information see the home pages for the FLake model and the Lake Depth dataset.

For more information about the dataset see the Description of the FLake global dataset for the parameterisation of lakes.

Documents

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Synopsis of FLake Routines, Dmitrii V. Mironov Synopsis of FLake Routines, Dmitrii V. Mironov

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Date added: 03/31/2010
Date modified: 03/31/2010
Filesize: 106.88 kB
Downloads: 5482

FLake model routines (tar.gz archive) FLake model routines (tar.gz archive)

Date added: 03/31/2010
Date modified: 03/31/2010
Filesize: 27.9 kB
Downloads: 55

FLake is freely available under the terms of the GNU Lesser General Public License (LGPL).
The archive contains
(i) routines of the lake model FLake,
(ii) routines of the atmospheric surface-layer parameterisation scheme SfcFlx,
(iii) an example of FLake Interface for single-column applications.

A brief description of the source code is given in the synopsis of FLake routines.
Test runs provide examples of the use of FLake in a stand-alone mode.

If you download the FLake code, please send the following information to Arkady Terzhevik:

  1. your name,
  2. your address,
  3. your email address,
  4. a few words to give an idea of how you are going to use FLake.

Arkady will then add you to the list of FLake users (this does not assume any obligations).

FLake model routines (zip archive) FLake model routines (zip archive)

Date added: 03/31/2010
Date modified: 03/31/2010
Filesize: 43.68 kB
Downloads: 95

FLake is freely available under the terms of the GNU Lesser General Public License (LGPL).
The archive contains
(i) routines of the lake model FLake,
(ii) routines of the atmospheric surface-layer parameterisation scheme SfcFlx,
(iii) an example of FLake Interface for single-column applications.
A brief description of the source code is given in the synopsis of FLake routines (click Documentation and download PDF file).
Test runs provide examples of the use of FLake in a stand-alone mode.

If you download the FLake code, please send the following information to Arkady Terzhevik:

  1. your name,
  2. your address,
  3. your email address,
  4. a few words to give an idea of how you are going to use FLake.

Arkady will then add you to the list of FLake users (this does not assume any obligations).

Lake depth dataset Lake depth dataset

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Date added: 03/30/2010
Date modified: 06/30/2010
Filesize: 7.44 MB
Downloads: 3228

Version 2.0 (available as an ASCII zipped).
Developed by Ekaterina Kourzeneva, using a prototype data set of Natalia Schneider.

 

The data set contains mean depths of a number of European lakes and of major lakes of the other parts of the world. Each lake is identified with its location (geographical co-ordinates) and its international name. The local name used in the country where the lake is located is also given. In many instances the two names coincide. The lake maximum depth and its surface area are given whenever available (9999.0 is a missing value). Lakes are ordered with respect to the part of the world where the lake in question is located. Within each part of the world, lakes are listed with respect to the country of their location. Both the parts of the world and the countries are ordered alphabetically. Finally, the lakes within each country are organised with respect to their surface area in descending order.

Description of the FLake global dataset for the parameterisation of lakes Description of the FLake global dataset for the parameterisation of lakes

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Date added: 03/30/2010
Date modified: 03/31/2010
Filesize: 502.82 kB
Downloads: 11346

Global dataset for the parameterisation of lakes in Numerical Weather Prediction and
climate modelling,
E. Kourzeneva, CRNM/GAME, Météo-France CNRS, Toulouse, France,
and RSHU, St. Petersbourg, Russia