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Influence of the spatial distribution of vegetation and soils on the prediction of cumulus Convective rainfall

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Pielke, Roger A.·2001·Reviews of Geophysics

Abstract

This paper uses published work to demonstrate the link between surface moisture and heat fluxes and cumulus convective rainfall. The Earth's surface role with respect to the surface energy and moisture budgets is examined. Changes in land‐surface properties are shown to influence the heat and moisture fluxes within the planetary boundary layer, convective available potential energy, and other measures of the deep cumulus cloud activity. The spatial structure of the surface heating, as influenced by landscape patterning, produces focused regions for deep cumulonimbus convection. In the tropics, and during midlatitude summers, deep cumulus convection has apparently been significantly altered as a result of landscape changes. These alterations in cumulus convection teleconnect to higher latitudes, which significantly alters the weather in those regions. The effect of tropical deforestation is most clearly defined in the winter hemisphere. In the context of climate, landscape processes are shown to be as much a part of the climate system as are atmospheric processes.

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Metadata

Authors
Pielke, R. A.
Venue
Reviews of Geophysics
Published
2001-05
Volume
39
Issue
2
Pages
151-177
ISSN
  • 0096-1043 (ISSN-L)
  • 8755-1209
  • 1944-9208
OpenAlex
W2062378293
Cited by
801
References
0
FWCI
15.65
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Influence of the spatial distribution of vegetation and soils on the prediction of cumulus Convective rainfall. https://app.cochat.ai/papers/10.1029/1999rg000072
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Pielke, R. A. (2001). Influence of the spatial distribution of vegetation and soils on the prediction of cumulus Convective rainfall. Reviews of Geophysics. https://doi.org/10.1029/1999rg000072

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.