Global Vegetation and Land Use: New High-Resolution Data Bases for Climate Studies

Matthews, E.

doi:10.1175/1520-0450(1983)022<0474:gvalun>2.0.co;2

Cited by 900 publications

(652 citation statements)

References 4 publications

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“…In the V2.9 retrieval, the ECSTRA (Extinction Coefficient for STRatospheric Aerosol; Fussen et al, 1999) aerosol database was used in the model; the surface albedo was from Matthews (1983). The lowest and highest tangent heights used during the retrieval are around 12 and 71 km, respectively.…”

Section: Sciamachy Limb V29 Retrieval Algorithmmentioning

confidence: 99%

Global validation of SCIAMACHY limb ozone data (versions 2.9 and 3.0, IUP Bremen) using ozonesonde measurements

Jia¹,

Rozanov²,

Ladstätter-Weißenmayer³

et al. 2015

Atmos. Meas. Tech.

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Abstract. In this paper, the latest SCIAMACHY limb ozone scientific vertical profiles, namely the current V2.9 and the upcoming V3.0, are extensively compared with ozonesonde data from the World Ozone and Ultraviolet Radiation Data Centre (WOUDC) database. The comparisons are made on a global scale from 2003 to 2011, involving 61 sonde stations. The retrieval processors used to generate V2.9 and V3.0 data sets are briefly introduced. The comparisons are discussed in terms of vertical profiles and stratospheric partial columns. Our results indicate that the V2.9 ozone profile data between 20 and 30 km are in good agreement with ground-based measurements, with less than 5 % relative differences in the latitude range of 90 • S-40 • N (with the exception of the tropical Pacific region, where an overestimation of more than 10 % is observed), which corresponds to less than 5 DU partial-column differences. In the tropics the differences are within 3 %. However, this data set shows a significant underestimation northwards of 40 • N (up to ∼ 15 %). The newly developed V3.0 data set reduces this bias to below 10 % while maintaining a good agreement southwards of 40 • N with slightly increased relative differences of up to 5 % in the tropics.

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Section: Sciamachy Limb V29 Retrieval Algorithmmentioning

confidence: 99%

Global validation of SCIAMACHY limb ozone data (versions 2.9 and 3.0, IUP Bremen) using ozonesonde measurements

Jia¹,

Rozanov²,

Ladstätter-Weißenmayer³

et al. 2015

Atmos. Meas. Tech.

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“…The pesticide residues remaining in the soil result from those pesticides used in year 1 which are mixed in the soil at the tilling event in year 2. Note that Rt in equation (7) The emission factors of (x-HCH derived by Scholtz et al [ 1998] were calculated on the basis of three assumptions: (1) both the use data and fraction distribution of use among different modes for each country in 1989 were identical to those in 1990; (2) the geographical area where the data cover is based on Matthews' cultivation density map [Matthews, 1983]; and (3) the meteorology data of 1990 were used for the two consecutive years, 1989 and 1990.…”

Section: E• 2) = (B(2)u (2) + R T)f T (7)mentioning

confidence: 99%

“…There are some differences between the new sets of data presented here and the originals. First, the areas the emission factors cover have been redistributed Matthews' cultivation density map [Matthews, 1983] to an improved cropland map [Li, 1999b] for this region. In the new sets of data presented in this paper, the emission factors in these regions have been modified accordingly to compensate for the inconsistency.…”

Section: E• 2) = (B(2)u (2) + R T)f T (7)mentioning

confidence: 99%

Global gridded emission inventories of α‐hexachlorocyclohexane

Li¹,

Scholtz²,

Heyst³

2000

J. Geophys. Res.

100

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“…The best-known schemes are those of the life-zone classification system (HOLDRIDGE 1967), world biogeographical biomes (UDVARDY 1975), world ecosystems (OLSON et al 1983), main types of the world ecosystems (MATTHEWS 1983), continental ecoregions (BAILEY 1989), terrestrial biomes (STOLZ et al 1989), and the ecozones of the world (SCHULTZ 1995). Past and future changes in atmospheric composition, climate and human land-use can exert large effects on the distribution and functioning of terrestrial vegetation (MELILLO et al 1996).…”

Section: Introductionmentioning

confidence: 99%

A biome classification of China based on plant functional types and the BIOME3 model

2001

Folia Geobot

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Abstract:A biome classification for China was established based on plant functional types (PFTs) using the BIOME3 model to include 16 biomes. In the eastern part of China, the PFTs of trees determine mostly the physiognomy of landscape. Biomes range from boreal deciduous coniferous forest/woodland, boreal mixed forest/woodland, temperate mixed forest, temperate broad-leaved deciduous forest, warm-temperate broad-leaved evergreen/mixed forest, warm-temperate/cool-temperate evergreen coniferous forest, xeric woodland/scrub, to tropical seasonal and rain forest, and tropical deciduous forest from north to south. In the northern and western part of China, grass is the dominant PFT. From northeast to west and southwest the biomes range from moist savannas, tall grassland, short grassland, dry savannas, arid shrubland/steppe, desert, to alpine tundra/ice/polar desert. Comparisons between the classification introduced here and the four classifications which were established over the past two decades, i.e. the vegetation classification, the vegetation division, the physical ecoregion, and the initial biome classification have showed that the different aims of biome classifications have resulted in different biome schemes each with its own unique characteristics and disadvantages for global change study. The new biome classification relies not only on climatic variables, but also on soil factor, vegetation functional variables, ecophysiological parameters and competition among the PFTs. It is a comprehensive classification that using multivariables better expresses the vegetation distribution and can be compared with world biome classifications. It can be easily used in the response study of Chinese biomes to global change, regionally and globally.

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Global Vegetation and Land Use: New High-Resolution Data Bases for Climate Studies

Cited by 900 publications

References 4 publications

Global validation of SCIAMACHY limb ozone data (versions 2.9 and 3.0, IUP Bremen) using ozonesonde measurements

Global validation of SCIAMACHY limb ozone data (versions 2.9 and 3.0, IUP Bremen) using ozonesonde measurements

Global gridded emission inventories of α‐hexachlorocyclohexane

A biome classification of China based on plant functional types and the BIOME3 model

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