A Global Database of Land Surface Parameters at 1-km Resolution in Meteorological and Climate Models

Abstract Ecoclimap, a new complete surface parameter global dataset at a 1-km resolution, is presented. It is intended to be used to initialize the soil–vegetation–atmosphere transfer schemes (SVATs) in meteorological and climate models (at all horizontal scales). The database supports the “tile” approach, which is utilized by an increasing number of SVATs. Two hundred and fifteen ecosystems representing areas of homogeneous vegetation are derived by combining existing land cover maps and climate maps, in addition to using Advanced Very High Resolution Radiometer (AVHRR) satellite data. Then, all surface parameters are derived for each of these ecosystems using lookup tables with the annual cycle of the leaf area index (LAI) being constrained by the AVHRR information. The resulting LAI is validated against a large amount of in situ ground observations, and it is also compared to LAI derived from the International Satellite Land Surface Climatology Project (ISLSCP-2) database and the Polarization and Direc...

[1]  Lewis F. Richardson,et al.  Weather Prediction by Numerical Process , 1922 .

[2]  C. E. Koeppe,et al.  Weather and climate , 1935 .

[3]  E. Kanemasu,et al.  Evaluation of an Evapotranspiration Model for Corn1 , 1977 .

[4]  W. J. Shuttleworth,et al.  Observations of radiation exchange above and below Amazonian forest , 1984 .

[5]  W. James Shuttleworth,et al.  Eddy correlation measurements of energy partition for Amazonian forest , 1984 .

[6]  G. Asrar,et al.  Estimating Absorbed Photosynthetic Radiation and Leaf Area Index from Spectral Reflectance in Wheat1 , 1984 .

[7]  A. Henderson‐sellers,et al.  A global archive of land cover and soils data for use in general circulation climate models , 1985 .

[8]  F. Woodward Climate and plant distribution , 1987 .

[9]  Craig S. T. Daughtry,et al.  Estimating big bluestem albedo from directional reflectance measurements , 1988 .

[10]  Piers J. Sellers,et al.  A Global Climatology of Albedo, Roughness Length and Stomatal Resistance for Atmospheric General Circulation Models as Represented by the Simple Biosphere Model (SiB) , 1989 .

[11]  S. Planton,et al.  A Simple Parameterization of Land Surface Processes for Meteorological Models , 1989 .

[12]  Roger A. Pielke,et al.  A parameterization of heterogeneous land surfaces for atmospheric numerical models and its impact on regional meteorology , 1989 .

[13]  C. R. Lloyd,et al.  Micrometeorological measurements in Les Landes forest during HAPEX-MOBILHY , 1989 .

[14]  J. Noilhan,et al.  Sensitivity study and validation of a land surface parameterization using the HAPEX-MOBILHY data set , 1990 .

[15]  F. Baret,et al.  Potentials and limits of vegetation indices for LAI and APAR assessment , 1991 .

[16]  J. Noilhan,et al.  An Experiment with an Advanced Surface Parameterization in a Mesobeta-Scale Model. Part III: Comparison with the HAPEX-MOBILHY Dataset , 1991 .

[17]  P. Mascart,et al.  An Experiment with an Advanced Surface Parameterization in a Mesobeta-Scale Model. Part I: Implementation , 1991 .

[18]  R. Koster,et al.  Modeling the land surface boundary in climate models as a composite of independent vegetation stands , 1992 .

[19]  Thomas R. Loveland,et al.  USING MULTISOURCE DATA IN GLOBAL LAND-COVER CHARACTERIZATION: CONCEPTS, REQUIREMENTS, AND METHODS , 1993 .

[20]  C. Justice,et al.  The generation of global fields of terrestrial biophysical parameters from the NDVI , 1994 .

[21]  M. Déqué,et al.  The ARPEGE/IFS atmosphere model: a contribution to the French community climate modelling , 1994 .

[22]  J. Faundeen,et al.  The 1 km AVHRR global land data set: first stages in implementation , 1994 .

[23]  Y. Heymann,et al.  CORINE Land Cover. Technical Guide , 1994 .

[24]  Thomas M. Smith,et al.  Improved Global Sea Surface Temperature Analyses Using Optimum Interpolation , 1994 .

[25]  J. Noilhan,et al.  GCM grid-scale evaporation from mesoscale modeling , 1995 .

[26]  H. Giordani,et al.  The Land Surface Scheme ISBA within the Météo-France Climate Model ARPEGE. Part I. Implementation and Preliminary Results , 1995 .

[27]  M. G. Hodnett,et al.  The Albedo of Amazonian Forest and Ranch Land , 1995 .

[28]  A. Boone,et al.  A Parameterization for Land–Atmosphere-Cloud Exchange (PLACE): Documentation and Testing of a Detailed Process Model of the Partly Cloudy Boundary Layer over Heterogeneous Land , 1995 .

[29]  James S. Clark,et al.  Terrestrial biotic responses to environmental change and feedbacks to climate , 1996 .

[30]  G. J. Collatz,et al.  Comparison of Radiative and Physiological Effects of Doubled Atmospheric CO2 on Climate , 1996, Science.

[31]  K. E. Moore,et al.  Detecting leaf area and surface resistance during transition seasons , 1997 .

[32]  S. T. Gower,et al.  Leaf area index of boreal forests: theory, techniques, and measurements , 1997 .

[33]  Véronique Ducrocq,et al.  The Meso-NH Atmospheric Simulation System. Part I: adiabatic formulation and control simulations , 1997 .

[34]  Thomas R. Loveland,et al.  The IGBP-DIS global 1 km land cover data set , 1997 .

[35]  Alan K. Betts,et al.  Albedo over the boreal forest , 1997 .

[36]  C. Nobre,et al.  Physical properties of Amazonian soils : A modeling study using the Anglo-Brazilian Amazonian Climate Observation Study data , 1997 .

[37]  R. Dickinson,et al.  The Project for Intercomparison of Land Surface Parameterization Schemes (PILPS): Phases 2 and 3 , 1993 .

[38]  C. Nobre,et al.  Mapping Surface Parameters for Mesoscale Modeling in Forested and Deforested Southwestern Amazonia , 1997 .

[39]  S. Running,et al.  Synergistic algorithm for estimating vegetation canopy leaf area index and fraction of absorbed photosynthetically active , 1998 .

[40]  Jean-Pierre Wigneron,et al.  An interactive vegetation SVAT model tested against data from six contrasting sites , 1998 .

[41]  J. Noilhan,et al.  Key results and implications from phase 1(c) of the Project for Intercomparison of Land-surface Parametrization Schemes , 1999 .

[42]  P. Jones,et al.  Representing Twentieth-Century Space–Time Climate Variability. Part I: Development of a 1961–90 Mean Monthly Terrestrial Climatology , 1999 .

[43]  Garik Gutman,et al.  On the use of long‐term global data of land reflectances and vegetation indices derived from the advanced very high resolution radiometer , 1999 .

[44]  J.-L. Champeaux,et al.  AVHRR-derived vegetation mapping over Western Europe for use in Numerical Weather Prediction models , 2000 .

[45]  Hans Peter Schmid,et al.  Measurements of CO2 and energy fluxes over a mixed hardwood forest in the mid-western United States , 2000 .

[46]  Ruth S. DeFries,et al.  Global continuous fields of vegetation characteristics: A linear mixture model applied to multi-year 8 km AVHRR data , 2000 .

[47]  Valéry Masson,et al.  A Physically-Based Scheme For The Urban Energy Budget In Atmospheric Models , 2000 .

[48]  R. P. Cechet,et al.  The Impact of the Diurnal Variation of Albedo on the Remote Sensing of the Daily Mean Albedo of Grassland , 2000 .

[49]  J. Townshend,et al.  Global land cover classi(cid:142) cation at 1 km spatial resolution using a classi(cid:142) cation tree approach , 2004 .

[50]  D. Diner,et al.  Surface albedo retrieval from Meteosat: 2. Applications , 2000 .

[51]  Ruth S. DeFries,et al.  Global and regional land cover characterization from satellite data: an introduction to the Special Issue , 2000 .

[52]  Limin Yang,et al.  Development of a global land cover characteristics database and IGBP DISCover from 1 km AVHRR data , 2000 .

[53]  A. K. Betts,et al.  O ine validation of the ERA 40 surface scheme , 2000 .

[54]  Jeffrey G. Masek,et al.  Landsat—30 Years and Counting , 2001 .

[55]  Klaus Steinnocher,et al.  Development of a consistent methodology to derive land cover information on a European scale from remote sensing for environmental monitoring; the PELCOM report , 2001 .

[56]  Paul J. Valdes,et al.  Modeling the Impact of Land Surface Degradation on the Climate of Tropical North Africa , 2001 .

[57]  N. C. Strugnell,et al.  A global albedo data set derived from AVHRR data for use in climate simulations , 2001 .

[58]  Robert Frouin,et al.  Satellite-Derived Surface Radiation Budget over the African Continent. Part II: Climatologies of the Various Components , 2001 .

[59]  Valéry Masson,et al.  Simulation of a Summer Urban Breeze Over Paris , 2002 .

[60]  C. Potter,et al.  Analysis of a multiyear global vegetation leaf area index data set , 2002 .

[61]  Roselyne Lacaze,et al.  Retrieval of vegetation clumping index using hot spot signatures measured by POLDER instrument , 2002 .

[62]  R. Lacaze,et al.  Global mapping of vegetation parameters from POLDER multiangular measurements for studies of surface-atmosphere interactions: A pragmatic method and its validation , 2002 .

[63]  A. Pitman,et al.  The regional scale impact of land cover change simulated with a climate model , 2002 .

[64]  Timothy R. Oke,et al.  Evaluation of the Town Energy Balance (TEB) Scheme with Direct Measurements from Dry Districts in Two Cities , 2002 .

[65]  Freddy O.F. Nachtergaele The Future of the FAO Legend and the FAO/UNESCO Soil Map of the World , 2002 .

[66]  Valéry Masson,et al.  Modeling the Surface Energy Balance of the Core of an Old Mediterranean City: Marseille , 2004 .

[67]  H. A. Mooney,et al.  Maximum rooting depth of vegetation types at the global scale , 1996, Oecologia.

[68]  J. Royer,et al.  A new snow parameterization for the M 6 t 6 o-France climate model Part II : validation in a 3-D GCM experiment , 2022 .