A global archive of land cover and soils data for use in general circulation climate models

Wilson, M. F.; Henderson‐Sellers, A.

doi:10.1002/joc.3370050202

Cited by 549 publications

(287 citation statements)

References 14 publications

Supporting

Mentioning

285

Contrasting

Order By: Relevance

“…Although the Chatham Islands are present in the RCM (Figure 2), they were omitted from the discussions since they occupy only one grid point. The vegetation and soil fields were taken from the global vegetation dataset of Wilson and Henderson-Sellers (1985). The tropospheric chemistry in both the GCM and RCM was kept constant at pre-industrial levels in order to simplify the model and reduce the computation time.…”

Section: Model Description and Methodsmentioning

confidence: 99%

Simulation of New Zealand's climate using a high‐resolution nested regional climate model

Drost

Renwick

Bhaskaran

et al. 2006

Intl Journal of Climatology

View full text Add to dashboard Cite

Abstract:A regional climate model (RCM) for New Zealand has been developed. The RCM is embedded within a GCM and both models are run under pre-industrial conditions. Seasonal mean output of the RCM is compared against NCEP data and the New Zealand national climate database. Regional and seasonal aspects of modelled surface temperature and precipitation are to a large extent simulated correctly. The main anomalies are related to the difficulty of incorporating New Zealand's orography appropriately and to the initial and lateral boundary conditions, which were supplied by the GCM. The largest anomalies occur over the Southern Alps, where the modelled temperatures are too low and where the amount of precipitation is too high. Many parts of the east coasts in both the North and South Island are too warm and too dry. Correlation patterns of temperature and precipitation with mean sea-level pressure differ considerably from the equivalent patterns constructed from NCEP data, but do show in general the dominant relationships between wind direction and temperature and precipitation.

show abstract

Section: Model Description and Methodsmentioning

confidence: 99%

Simulation of New Zealand's climate using a high‐resolution nested regional climate model

Drost

Renwick

Bhaskaran

et al. 2006

Intl Journal of Climatology

View full text Add to dashboard Cite

show abstract

“…The JULES model also uses PFT distributions derived from the IGBP DISCover data set to estimate fractional coverage of five PFTs and four non-vegetated surfaces (water, urban, snow/ice and bare soil). JSBACH uses original data from Wilson and Henderson-Sellers (1985) and continuous tree fractions from DeFries et al (1999) to represent the distribution and abundance of 12 PFTs. The LC_CCI Epoch 2010 was converted to 0.5 degree resolution using the LC_CCI user tool and compared with the individual default model PFT maps to illustrate regional differences and biases between products and to provide a baseline of how the LC_CCI products may improve LSM performance.…”

Section: Analysis and Comparison To Pft Mapsmentioning

confidence: 99%

Plant functional type classification for earth system models: results from the European Space Agency's Land Cover Climate Change Initiative

et al. 2015

View full text Add to dashboard Cite

Abstract. Global land cover is a key variable in the earth system with feedbacks on climate, biodiversity and natural resources. However, global land cover data sets presently fall short of user needs in providing detailed spatial and thematic information that is consistently mapped over time and easily transferable to the requirements of earth system models. In 2009, the European Space Agency launched the Climate Change Initiative (CCI), with land cover (LC_CCI) as 1 of 13 essential climate variables targeted for research development. The LC_CCI was implemented in three phases: first responding to a survey of user needs; developing a global, moderate-resolution land cover data set for three time periods, or epochs (2000, 2005, and 2010); and the last phase resulting in a user tool for converting land cover to plant functional type equivalents. Here we present the results of the LC_CCI project with a focus on the mapping approach used to convert the United Nations Land Cover Classification System to plant functional types (PFTs). The translation was performed as part of consultative process among map producers and users, and resulted in an open-source conversion tool. A comparison with existing PFT maps used by three earth system modeling teams shows significant differences between the LC_CCI PFT data set and those currently used in earth system models with likely consequences for modeling terrestrial biogeochemistry and land-atmosphere interactions. The main difference between the new LC_CCI product and PFT data sets used currently by three different dynamic global vegetation modeling teams is a reduction in high-latitude grassland cover, a reduction in tropical tree cover and an expansion in temperate forest cover in Europe. The LC_CCI tool is flexible for users to modify land cover to PFT conversions and will evolve as phase 2 of the European Space Agency CCI program continues.

show abstract

“…Each grid cell corresponds to a single soil profile of sand, clay and bedrock at the grid resolution computed independently, with no lateral heat and soil moisture transfers between adjacent soil columns. CLASS uses sand and clay concentrations derived from Wilson and Henderson-Sellers (1985). A spatially varying depth to bedrock database is derived from Webb et al (2000).…”

Section: The Canadian Land Surface Schemementioning

confidence: 99%

On the Arctic near-surface permafrost and climate sensitivities to soil and snow model formulations in climate models

Paquin

Sushama

2014

Clim Dyn

View full text Add to dashboard Cite

show abstract

A global archive of land cover and soils data for use in general circulation climate models

Cited by 549 publications

References 14 publications

Simulation of New Zealand's climate using a high‐resolution nested regional climate model

Simulation of New Zealand's climate using a high‐resolution nested regional climate model

Plant functional type classification for earth system models: results from the European Space Agency's Land Cover Climate Change Initiative

On the Arctic near-surface permafrost and climate sensitivities to soil and snow model formulations in climate models

Contact Info

Product

Resources

About