Estimation of the aerodynamic roughness length in arid and semi-arid regions 
over the globe with the ERS scatterometer

Prigent, C.; Tegen, I.; Aires, F.; Marticorena, B.; Zribi, M.

doi:10.1029/2004JD005370

アイテム詳細

登録内容を編集ファイル形式で保存

一時保存へ追加

このアイテムの新しいバージョンが利用可能です:
https://pure.mpg.de/pubman/item/item_1691931_6

詳細要約

公開

学術論文

Estimation of the aerodynamic roughness length in arid and semi-arid regions over the globe with the ERS scatterometer

MPS-Authors

/persons/resource/persons62576

Tegen, I.
Department Biogeochemical Synthesis, Prof. C. Prentice, Max Planck Institute for Biogeochemistry, Max Planck Society;

External Resource

http://dx.doi.org/10.1029/2004JD005370
(出版社版)

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

フルテキスト (公開)

公開されているフルテキストはありません

付随資料 (公開)

There is no public supplementary material available

引用

Prigent, C., Tegen, I., Aires, F., Marticorena, B., & Zribi, M. (2005). Estimation of the aerodynamic roughness length in arid and semi-arid regions over the globe with the ERS scatterometer. Journal of Geophysical Research-Atmospheres, 110(9), D09205. doi:10.1029/2004JD005370.

引用: https://hdl.handle.net/11858/00-001M-0000-000E-D346-8

要旨

Estimates of the aerodynamic roughness lengths z(0) in arid and semi-arid regions are for the first time provided for the whole globe, using satellite ERS scatterometer observations. A statistical relationship is derived between the ERS scatterometer backscattering coefficients and quality in situ and geomorphological z(0) estimates. It is a practical solution to provide realistic roughness maps with large-scale spatial patterns that are consistent with independent surface characterization. In addition, it makes it possible to analyze the seasonal and interannual variations of this parameter on a global basis. The satellite-derived surface roughness parameters have been implemented into the dust emission scheme of a global dust cycle model. Dust emission computations are improved when using the ERS derived z(0) as input parameter. The spatial correlation between the TOMS observation frequency and the model dust events increases from 0.34 when using fixed z(0) to 0.52 when using the satellite-derived estimates. [References: 37]