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Cited by 194

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Simulation of the atmospheric response to soil moisture anomalies over Europe

Rowntree, P. R., Bolton, J. A.·1983·Quarterly Journal of the Royal Meteorological Society

Abstract

Positive and negative anomalies in the initial soil moisture over central Europe were introduced in turn into integrations of a global model of the July atmosphere. The results show that by modifying the partitioning of the turbulent fluxes such anomalies can have major effects on the modelled rainfall, humidity and temperature during the following 50 days over the anomaly area and that the anomalies can propagate into adjacent land areas. Similar results were obtained with a lower‐resolution version of the model. The effects on rainfall were already important on day 3 of the integration over the anomaly area and on day 6 over parts of Scandinavia outside the anomaly area. The experiment was repeated with a version of the model in which the prevailing flow over Europe was less weak with increased moist westerly flow from the Atlantic. In this case the dry anomaly persisted for only about 20 days before it became too weak to affect the evaporation significantly.

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Metadata

Authors
Rowntree, P. R., & Bolton, J. A.
Venue
Quarterly Journal of the Royal Meteorological Society
Publisher
Wiley
Published
1983-07
Volume
109
Issue
461
Pages
501-526
ISSN
  • 0035-9009 (ISSN-L)
  • 1477-870X
OpenAlex
W2066337125
Cited by
194
References
0
FWCI
4.26
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Simulation of the atmospheric response to soil moisture anomalies over Europe. https://app.cochat.ai/papers/10.1002/qj.49710946105
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Rowntree, P. R., & Bolton, J. A. (1983). Simulation of the atmospheric response to soil moisture anomalies over Europe. Quarterly Journal of the Royal Meteorological Society. https://doi.org/10.1002/qj.49710946105

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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.