Global gridded dataset of lake coverage and lake depth for use in numerical weather prediction and climate modelling

Ekaterina Kourzeneva; Hermann Asensio; Eric Martin; Stephanie Faroux

doi:10.3402/tellusa.v64i0.15640

Global gridded dataset of lake coverage and lake depth for use in numerical weather prediction and climate modelling

Tellus

Volume 64 (2012): Issue 1

By: Ekaterina Kourzeneva, Hermann Asensio, Eric Martin and Stephanie Faroux

Open Access

|Dec 2012

Abstract

A global dataset of lake coverage and lake depth was developed for use in numerical weather prediction and climate modelling. It provides the global gridded information on lake depth with the resolution of 30 arc sec. (approximately 1 km). It was obtained by mapping data on mean lake depth for ca. 13 000 freshwater lakes. Apart from the mean depth, the bathymetry for 36 large lakes is included. Information for individual lakes was collected from regional databases, water cadastres and public sources. For mapping, the land cover map ECOCLIMAP2 was used. A new automatic probabilistic mapping method was developed and is described here. We discuss also how to project the lake depth data onto the numerical atmospheric model grid and how to achieve the consistency of physiographic datasets when several maps are used in a model.

References

Amante, C and Eakins, B. W. 2009. ETOPO1 1 Arc-Minute Global Relief Model: Procedures, Data Sources and Analysis. NOAA Technical Memorandum NESDIS NGDC-24. 3, 1–19. Data available online at http://www.ngdc.noaa.gov/mgg/global/global.html.
Search in Google Scholar Back to article
Bertholomeé E. Belward A. S. GLC2000: a new approach to global land cover mapping from Earth observation data. Int. I. Remote Sensing. 2005; 26(9/10): 1959–1977.
Search in Google Scholar Back to article
Bicheron, P, Amberg, V, Bourg, L, Petit, D, Miras, B and co-authors. 2006. GLOBCOVER: a 300 m global land cover product for 2005 using ENVISAT/MERIS time series. Proceedings of the Recent Advances in Quantitative Remote Sensing Symposium. Valencia, September 2006.
Search in Google Scholar Back to article
CEC., 1993. CORINE Land Cover technical guide. European Union. Directorate-Generale Environment. Nuclear Safety and Civil Protection,: Luxembourg.
Search in Google Scholar Back to article
Champeaux J. -L. Han K. -S. Arcos D. Habets F. Masson V. Ecoclimap2: a new approach at global and European scale for ecosystems mapping and associated surface parameters database using SPOT/VEGETATION data – First Results. Int. Geosci. Remote Sens. Symp. 2004; 3: 2046–2049.
Search in Google Scholar Back to article
Doganovsky, A. 2006. Spatial patterns of lake depressions. Proceedings of the conference “LIX Herzen readings”, Geography and allied sciences. 15–23. in Russian.
Search in Google Scholar Back to article
Eerola K. Rontu L. Kourzeneva E. Shcherbak E. A study on effects of lake temperature and ice cover in HIRLAM. Boreal Env. Res. 2010; 15: 130–142.
Search in Google Scholar Back to article
ETOPO5.: Data Announcement 88-MGG-02, Digital relief of the Surface of the Earth. NOAA, National Geophysical Data Center, Boulder, Colorado, 1988. Also available online at http://www.ngdc.noaa.gov/mgg/global/etopo5.html.
Search in Google Scholar Back to article
ESRI.: Environmental Systems Research Institute. 1992. ArcWorld 1:3 Mio. Continental Coverage. RedlandsCA. Data obtained on CD.
Search in Google Scholar Back to article
ESRI.: Environmental Systems Research Institute. 1993. Digital Chart of the World 1:1 Mio. RedlandsCA. Data obtained on 4 CDs. Also available online at http://www.maproom.psu.edu/dcw/.
Search in Google Scholar Back to article
Farr, T. G, Rosen P. A, Caro E, Crippen, R, Duren R and co-authors. 2007. The Shuttle Radar Topography Mission. Rev. Geophys. 45, RG2004, 10.3402/tellusa.v64i0.15640.
Open DOI Search in Google Scholar Back to article
Gassmann, A. 2010. Non-hydrostatic modelling with ICON. Proceedings of the ECMWF Workshop on Nonhydrostatic Modelling. European Centre for Medium-Range Weather Forecasts Available at http://www.ecmwf.int.
Search in Google Scholar Back to article
Gassmann A. Herzog H. -J. Towards a consistent numerical compressible non-hydrostatic model using generalized Hamiltonian tools. Quart. J. Roy. Meteor. Soc. 2008; 134: 1597–1613.
Search in Google Scholar Back to article
Hormann K. Agathos A. The point in polygon problem for arbitrary polygons. Comput. Geom. Theory Appl. 2001; 20: 131–144.
Search in Google Scholar Back to article
ILEC.: International Lake Environmental Committee. 1988–1993. Survey of the State of World Lakes. Data books of the world lake environments. Vols. 1–5. ILEC/UNEP Publications, Otsu, Japan. Also available online at http://wldb.ilec.or.jp/.
Search in Google Scholar Back to article
Kitaev, S. 1984. Ecological basis of lakes’ bioproduction in different landscapes. “Nauka”, Moscow, 208. (In Russian).
Search in Google Scholar Back to article
Kondratiev, S. 2010. External parameters for the parameterization of lakes in NWP and climate modeling. Diploma Thesis, monography, 51. (In Russian).
Search in Google Scholar Back to article
Kourzeneva, E. 2009. Global dataset for the parameterization of lakes in Numerical Weather Prediction and Climate modeling. ALADIN Newsletter. 37, July–December, F. Bouttier and C. Fischer, Meteo-France, Toulouse, France, 46–53. Available online at: http://www.cnrm.meteo.fr/aladin/IMG/pdf/FULL-3.pdf.
Search in Google Scholar Back to article
Kourzeneva E. External data for lake parameterization in Numerical Weather Prediction and climate modeling. Boreal Env. Res. 2010; 15: 165–177.
Search in Google Scholar Back to article
Lehner B. Döll P. Development and validation of a global database of lakes, reservoirs and wetlands. J. Hydrol. 2004; 296(1–4): 1–22.
Search in Google Scholar Back to article
Le Moigne, P, Boone, A, Calvet, J.-C, Decharme, B, Faroux, S and co-authors. 2009. SURFEX scientific documentation. CNRM-GAME, Météo France: France.
Search in Google Scholar Back to article
Loveland, T. R, Reed, B. C, Brown, J. F, Ohlen, D. O, Zhu, J and co-authors. 2000. Development of a global land cover characteristics database and IGBP DISCover from 1-km AVHRR data. Int. I. Remote Sens. 21 (6/7), 1303–1330. Data and documentation available online at: http://edc2.usgs.gov/glcc/glcc.php.
Search in Google Scholar Back to article
Majewski, D, Liermann, D, Prohl, P, Ritter, B, Buchhold, M and co-authors. 2002. The Operational Global Icosahedral-Hexagonal Gridpoint Model GME: Description and High-Resolution Tests. Mon. Wea. Rev. 30, 319–338.
Search in Google Scholar Back to article
Martynov A. Sushama L. Laprise R. Simulation of temperate freezing lakes by one-dimensional lake models: performance assessment for interactive coupling with regional climate models. Boreal Env. Res. 2010; 15: 143–164.
Search in Google Scholar Back to article
Masson V. Clampeaux J. L. Chauvin F. Meriguet C. Lacaze R. A global database of land surface parameters at 1-km resolution in meteorlogical and climate models. J. Climate. 2003; 16: 1261–1282.
Search in Google Scholar Back to article
Merchant, C. J and MacCallum, S. N. 2009. ARCLake Quaterly Report no. 1. The University of Edinburg, 3. Data available at: http://www.geos.ed.ac.uk/arclake.
Search in Google Scholar Back to article
Mironov, D. 2008. Parameterization of lakes in numerical weather prediction. Description of a lake model. COSMO Technical Report. vol. 11. Deutscher Wetterdienst, Offenbach am Main, Germany, 41.
Search in Google Scholar Back to article
Rípodas, P, Gassmann, A, Förstner, J, Majewski, D, Giorgetta, M and co-authors. 2009. Icosahedral Shallow Water Model (ICOSWM): results of shallow water test cases and sensitivity to model parameters. Geo. Model Develop. 2, 231–251.
Search in Google Scholar Back to article
Samuelsson P. Kourzeneva E. Mironov D. The impact of lakes on the European climate as simulated by a regional climate model. Boreal Env. Res. 2010; 15: 113–129.
Search in Google Scholar Back to article
Steppeler, J, Doms, G, Schättler, U, Bitzer, H. W, Gassmann, A and co-authors. 2003. Meso-gamma scale forecasts using the non-hydrostatic model LM. Meteorol. Atmos. Phys. 82, 75–96.
Search in Google Scholar Back to article
Tranvik, L. J, Downing, J. A, Cotner, J. B, Loiselle, S. A, Streigl, R. G and co-authors. 2009. Lakes and reservoirs as regulators of carbon cycling and climate. Limnol.Oceanogr. 54(6, part 2), 2298–2314.
Search in Google Scholar Back to article
Undén, P, Rontu, L, Järvinen, H, Lynch, P, Calvo, J and co-authors. 2002. The HIRLAM-5 scientific documentation. SMHI: Sweden.
Search in Google Scholar Back to article
Walter K. Smith L. Chapin III F. Methane bubbling from northern lakes: present and future contributions to the global methane budget. Phil. Trans. R. Soc. A. 2007; 365: 1657–1676.
Search in Google Scholar Back to article

Articles in this issue

DOI: https://doi.org/10.3402/tellusa.v64i0.15640 | Journal eISSN: 3035-9554

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Language: English

Page range: 15640 - 15640

Submitted on: Apr 17, 2011

Published on: Dec 1, 2012

Published by: Stockholm University Press

In partnership with: Paradigm Publishing Services

Keywords:

parameterization of lakes,

surface processes,

physiographic data

© 2012 Ekaterina Kourzeneva, Hermann Asensio, Eric Martin, Stephanie Faroux, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.

Volume 64 (2012): Issue 1